Location: Warsaw, Poland
RESCOURCING ADMINISTRATOR
At Dentons Business Services EMEA, we are committed to excellence in supporting legal professionals with cutting-edge solutions. Our dynamic and diverse team collaborates seamlessly to provide a wide range of services, including finance, IT, human resources, marketing, and more. We pride ourselves on fostering a culture of continuous improvement and adaptability.
Dentons Business Services EMEA serves as the operational backbone of Dentons, supporting the world’s largest law firm in delivering exceptional service to clients across Europe, the Middle East, and Africa.
As a crucial component of Dentons' global network, our EMEA business services team plays a key role in driving efficiency, innovation, and collaboration.
ABOUT THE ROLE
Dentons Business Services EMEA is seeking a proactive and results-oriented Resourcing Administrator to join our UKIME Resourcing Operations team. In this role, you will be part of the wider HR Operations Services team but will provide dedicated operational support to the UKIME Resourcing team. This is an excellent opportunity for an individual with at least one year’s experience in a law firm, recruitment agency, or professional services environment who is eager to advance their career in HR or Recruitment Operations.
- As this role supports UK region please note that it requires operating within UK time-zone therefore
working hours are from 10 am – 6 pm
- This role operates in
Hybrid
working model requiring DBSE Warsaw office presence 1-2 times a week
KEY RESPONSIBILITIES
Vacancy Management:
Create and manage vacancies on the Applicant Tracking System (ATS), ensuring effective coordination of internal and external job postings and advertisements.
Interview Coordination:
Schedule and coordinate high volumes of interviews for candidates, recruitment agencies, hiring managers, and interviewers, ensuring all stakeholders are fully briefed and demonstrating sensitivity to differing time zones.
Offer and Contract Production:
Prepare and issue offer letters and employment contracts for permanent and fixed-term roles.
Assessment Administration:
Arrange online psychometric assessments and behavioural preference questionnaires, track candidate progress, and deliver timely reports to relevant stakeholders.
Job Description Administration:
Maintain all job descriptions, ensuring documents are current, accurately formatted, and consistent with Dentons’ house style.
Data Integrity:
Originate and maintain accurate data within the ATS and other HR systems, supporting robust reporting and metrics.
Stakeholder Liaison:
Act as a point of contact for recruitment agencies and direct applicants regarding interview logistics and process updates.
Status Reporting:
Provide regular updates to Resourcing Advisors, the Resourcing Manager, and the Head of Recruitment on interview scheduling and candidate progress.
Invoice Processing:
Accurately process HR invoices, ensuring correct coding, tracking, and timely completion in line with company procedures.
Service Level Adherence:
Ensure all assigned tasks are completed within agreed service level agreements (SLAs).
REQUIRED SKILLS & QUALIFICATIONS
Experience
Experience of working in an HR department.
Experience in managing high volumes of administrative tasks.
Experience working with a law firm, corporate environment, recruitment agency, or professional services organization would be an asset.
Experience working with a ticketing system would be preferable.
Technical Skills
English C1
Working knowledge of MS Office, e.g. Word, Excel, PowerPoint, SharePoint and Outlook
Recruitment systems knowledge (ATS, CRM HRIS), ability to implement best practices in system usage
Ability to maintain clear record-keeping systems including databases
Personal Skills / Attributes
Excellent written and verbal communication skills.
Strong problem solving and analytical skills.
Methodical approach to work with a strong focus on accuracy, attention to detail, consistency, and quality.
A flexible approach to adapt to differing demands, prioritizing tasks where appropriate, and ensuring completion of tasks.
Understands the need for well-defined procedures and keeps process documentation updated.
Demonstrates excellent customer/client-facing skills.
BENEFITS
Private medical healthcare.
Multisport card.
Worksmile Cafeteria system.
Workation, up to 90 days a year.
A private insurance plan.
An additional day off for your birthday.
Volunteering days, up to 2 a year.
Hybrid work model with a modern office in Warsaw city center.
Warsaw, Poland; As this role supports UK region please note that it requires operating within UK time-zone therefore; working model requiring DBSE Warsaw office presence 1-2 times a week; Schedule and coordinate high volumes of interviews for candidates, recruitment agencies, hiring managers, and interviewers, ensuring all stakeholders are fully briefed and demonstrating sensitivity to differing time zones
Location: Pasir Gudang, Malaysia
Our Client
Our client is a Singapore-based multinational food and beverage company specializing in the production and distribution of instant beverages, particularly coffee mixes and non-dairy creamers. With a strong presence across Asia, Eastern Europe, and other emerging markets, the company focuses on delivering affordable, mass-market products while continuously optimizing cost efficiency and product formulations. Its operations are supported by manufacturing facilities, including in Malaysia, and it actively competes with Chinese producers by exploring innovations in ingredients and production processes to maintain competitiveness in pricing and quality.
Key Responsibilities
Manage international logistics operations, with a primary focus on sea transportation.
Build and maintain strong working relationships with shipping companies and international freight forwarders.
Apply knowledge of international commercial terms and international shipping risk management to support logistics operations.
Negotiate with logistics partners to achieve favorable commercial terms and optimize logistics costs.
Work closely with warehouse teams to ensure efficient coordination of logistics activities.
Requirements
Minimum
10 years of experience
in handling international logistics, particularly
sea transportation
.
Well-connected with shipping companies and international freight forwarders.
Strong knowledge of international commercial terms and international shipping risk management.
Proven negotiation skills with experience in cost optimization.
Experience working closely with warehouse operations.
Bachelor's degree or above.
Excellent communication skills in both
English and Malay
.
Strong team player with leadership capabilities.
Ability to work effectively under pressure.
Well-organized with strong documentation skills.
Location: North Macedonia; Serbia; South Africa; Poland; Morocco; Philippines
About Huzzle
At Huzzle, we connect exceptional talent with top opportunities at leading companies across the UK, US, Canada, Europe, and Australia. Our clients include fast-growing startups and established businesses in SaaS, MarTech, FinTech, and EdTech.
Unlike traditional outsourcing, you’ll be placed directly with a client as a core member of their team—giving you real ownership, career progression, and long-term stability.
Role Type: Full-time
Engagement: Independent Contractor
Location: Remote,
About the company
Our client is a fast-growing FinTech startup revolutionizing the investment landscape by bridging the gap between sophisticated financial data and artificial intelligence. They have developed a comprehensive research stack that unifies real-time market data across thirteen asset classes—including stocks, crypto, options, and macroeconomics—into a single, AI-native ecosystem. By providing institutional-grade tools like backtesting engines and congressional trade trackers at a fraction of traditional costs, the team empowers retail and professional traders worldwide to make data-backed decisions with speed and conviction.
Job Summary
This is a high-impact opportunity to join a stealth-stage FinTech startup at the intersection of Generative AI and global finance. The team is building cutting-edge tools that connect Large Language Models (LLMs) to live financial data, providing research terminals and APIs for sophisticated trading firms. We are looking for a tenacious, finance-savvy SDR to drive our outbound engine. You will be the first point of contact for institutional prospects, playing a critical role in scaling our revenue and defining our market presence.
Key Responsibilities
Execute high-volume outbound prospecting, including approximately 100 cold calls per day.
Qualify leads and secure a target of 20+ meetings per month with key decision-makers in the trading and investing sectors.
Manage the top-of-funnel pipeline to contribute to a consistent flow of closed deals.
Articulate the value of technical financial products, LLM integrations, and APIs to sophisticated market participants.
Maintain rigorous CRM hygiene and track all outreach activity via Smartleads and Microsoft Teams.
Partner with leadership to refine sales messaging and objection-handling strategies based on real-time market feedback.
Requirements
1-4 years of experience in an SDR, cold calling, or outbound sales role, preferably within a SaaS environment.
A deep interest in or professional knowledge of trading, investing, and financial markets.
Proven resilience and the ability to handle the high-rejection environment of outbound sales.
Exceptional verbal and written communication skills in English.
A self-starter mindset with the ability to operate independently in a fast-paced, remote startup environment.
Strong sales acumen and a focus on revenue generation.
Nice-to-Haves
Direct experience selling technical products, data-driven tools, or financial APIs.
Previous experience in a FinTech or trading-focused startup.
Proficiency with outbound automation tools and modern CRM systems.
Benefits
🌎 Fully remote role with flexible working hours
🚀 Work with high-growth international companies
🎯 Performance-based bonuses and incentives
🧠 Ongoing training, mentorship, and sales development support
Location: Mexico; Colombia; Argentina; Brazil; Costa Rica; Paraguay
About Huzzle
At Huzzle, we connect exceptional talent with top opportunities at leading companies across the UK, US, Canada, Europe, and Australia. Our clients include fast-growing startups and established businesses in SaaS, MarTech, FinTech, and EdTech.
Unlike traditional outsourcing, you’ll be placed directly with a client as a core member of their team—giving you real ownership, career progression, and long-term stability.
Role Type: Full-time
Engagement: Independent Contractor
Job Summary
We're looking for a talented Graphic Designer with 2+ years of professional experience to create engaging visual content across digital and print platforms. This is an exciting opportunity for a creative individual who enjoys transforming ideas into compelling designs that strengthen brand identity and drive business results.
If you're passionate about branding, marketing design, social media creatives, and collaborating with cross-functional teams, we'd love to hear from you.
Key Responsibilities
Conceptualize and execute high-quality design assets for social media, email marketing, and web platforms.
Collaborate with the marketing team to ensure all visuals align with brand guidelines and campaign objectives.
Manage multiple design projects simultaneously, ensuring all deadlines are met without compromising quality.
Prepare print-ready files and coordinate with external vendors when necessary.
Stay current on industry trends and best practices to ensure our brand remains modern and competitive.
Iterate on designs based on feedback from internal stakeholders and performance data.
Requirements
2+ years of professional experience in graphic design (agency or in-house).
A strong portfolio demonstrating a mastery of typography, layout, and color theory.
Proficiency in Adobe Creative Suite (Photoshop, Illustrator, InDesign).
Experience designing for a digital-first environment with a solid understanding of social media formats.
Excellent communication skills and the ability to articulate the "why" behind design decisions.
Strong organizational skills and the ability to thrive in a fast-paced environment.
Experience with video editing or motion graphics (After Effects, Premiere Pro).
Basic knowledge of UI/UX principles and Figma.
Experience in photography or art direction.
Benefits
💰 Competitive salary based on experience and qualifications.
🌍 Fully remote position with international clients.
🚀 Work with innovative startups and fast-growing global companies.
🎨 Opportunity to build an impressive portfolio across multiple industries.
📈 Long-term career growth and development opportunities.
🤝 Collaborative and supportive team environment.
💻 Work with modern creative tools and platforms.
Location: Philippines; South Africa; Ethiopia; Egypt; Morocco; Pakistan
About Huzzle
At Huzzle, we connect exceptional talent with top opportunities at leading companies across the UK, US, Canada, Europe, and Australia. Our clients include fast-growing startups and established businesses in SaaS, MarTech, FinTech, and EdTech.
Unlike traditional outsourcing, you’ll be placed directly with a client as a core member of their team—giving you real ownership, career progression, and long-term stability.
Role Type: Full-time
Engagement: Independent Contractor
Location: Remote,
About the company
Our client is a fast-growing FinTech startup revolutionizing the investment landscape by bridging the gap between sophisticated financial data and artificial intelligence. They have developed a comprehensive research stack that unifies real-time market data across thirteen asset classes—including stocks, crypto, options, and macroeconomics—into a single, AI-native ecosystem. By providing institutional-grade tools like backtesting engines and congressional trade trackers at a fraction of traditional costs, the team empowers retail and professional traders worldwide to make data-backed decisions with speed and conviction.
Job Summary
As a Sales Development Representative at this stealth-stage FinTech startup, you will be at the forefront of the intersection between Large Language Models (LLMs) and live financial markets. We are building the next generation of research terminals, financial APIs, and trading tools. We are looking for a high-energy, resilient hunter who is passionate about the financial markets and eager to drive revenue growth. This is a high-impact role where your outreach directly shapes the company's trajectory and provides a clear path for professional and financial advancement.
Key Responsibilities
Execute high-volume outbound prospecting campaigns, targeting approximately 100 cold calls per day.
Identify, qualify, and engage key decision-makers within the trading, investing, and financial services sectors.
Consistently book and manage approximately 20 qualified meetings per month to ensure a robust sales pipeline.
Contribute to overall revenue generation with a target of supporting 4 closed deals per month.
Maintain meticulous CRM hygiene and track all outreach activity within Smartleads and Microsoft Teams.
Collaborate closely with leadership to refine sales messaging and optimize outreach strategies for technical financial products.
Requirements
1-4 years of proven experience in an SDR, cold calling, or outbound sales role.
A strong professional background in FinTech, financial services or financial investments.
Demonstrable interest in or professional knowledge of trading, investing, and financial markets.
Exceptional communication skills in English, with the ability to handle complex objections confidently.
A high-volume mindset: you are energized by the "hustle" and comfortable with rigorous daily call targets.
Self-motivated and capable of working independently in a remote, fast-paced startup environment.
Benefits
🌎 Fully remote role with flexible working hours
🚀 Work with high-growth international companies
🎯 Performance-based bonuses and incentives
🧠 Ongoing training, mentorship, and sales development support
Location: Saint Julian's, Malta
We are seeking an experienced Commercial Manager to lead the commercial strategy and growth of our sportsbook product.
The ideal candidate combines deep technical understanding of sportsbook data feeds with a strong commercial and negotiation mindset, capable of driving revenue growth, optimizing pricing models, and building long-term strategic partnerships in regulated and emerging markets.
This is a senior-level position requiring at least 5 years of relevant experience in sportsbook, betting technology, or sports data environments.
Responsibilities:
Develop and execute the commercial strategy for Sportsbook
product.
Define and
optimize
pricing models (revenue share, fixed fee, hybrid, tiered structures).
Identify
and pursue new business opportunities in regulated and emerging markets.
Drive upselling and cross-
selling of
sportsbook data and feed services.
Lead commercial negotiations with B2B operators, platform providers, aggregators, and data suppliers.
Manage contractual agreements, ensuring alignment with company revenue targets and risk appetite.
Oversee the commercial performance of pre-match and live odds feeds, trading data, and related sportsbook services.
Collaborate closely with Trading, Product, and
Technical
teams to ensure feed quality, uptime, latency standards, and data accuracy.
Evaluate and negotiate agreements with third-party sports data providers.
Conduct market and competitor analysis to benchmark pricing, margins, and feed performance.
Monitor sportsbook industry trends and
identify
opportunities for product and revenue optimization.
Act as the commercial liaison between internal teams and external partners.
Prepare commercial forecasts, revenue reports, and performance analyses.
Requirements:
Minimum
5+ years of experience in sportsbook, betting technology, or sports data industry.
Proven experience in a commercial, business development, or feed-related management role.
Strong understanding of sportsbook odds compilation, pre-
match
and live trading environments.
Solid knowledge of sportsbook data feeds, API integrations, latency requirements, and uptime standards.
Understanding of
margin management, risk exposure logic, and trading performance metrics.
Experience working with international markets; regulated
markets
experience is a strong advantage.
Strong negotiation and contract
structuring
skills.
Commercially driven with strong analytical and strategic thinking abilities.
Excellent communication and stakeholder management skills.
Ability to work in fast-paced, performance-driven iGaming environments.
Fluency in English (
additional
languages are a plus).
Location: Jeddah, Saudi Arabia; Riyadh, Saudi Arabia; Tabuk, Saudi Arabia; Al Khobar, Saudi Arabia; Yanbu, Saudi Arabia
The
IBM Maximo EAM Functional Specialist
is responsible for administering, configuring, supporting, and enhancing the IBM Maximo Enterprise Asset Management (EAM) system. The role provides technical support, develops workflows and reports, manages system integrations, troubleshoots issues, and collaborates with business users and IT teams to ensure reliable and efficient asset management operations.
Key Responsibilities.
Administer, configure, and support IBM Maximo 7.x applications.
Troubleshoot Maximo, IBM HTTP Server, and integration-related issues.
Develop and maintain Maximo workflows, roles, actions, and action groups.
Create and maintain BIRT/Actuate reports and Cognos integration.
Perform data migration using MDL, GDL, SQL, and PL/SQL.
Configure and support Maximo Integration Framework (MIF) interfaces.
Prepare technical documentation and system configuration guides.
Collaborate with users, vendors, and IT teams to deliver system enhancements and resolve issues.
Requirements
Bachelor's degree in Computer Science, Software Engineering, or a related field.
6 years of IT experience, including at least 5 years with IBM Maximo.
Strong experience in Maximo 7.x installation, configuration, and administration.
Knowledge of Maximo workflows, MIF, BIRT, Cognos, and WebSphere.
Experience with Microsoft SQL Server, IBM DB2, SQL, and PL/SQL.
Strong troubleshooting, analytical, and problem-solving skills.
Excellent written and verbal communication skills in English.
IBM Maximo 7.x certification is preferred, with the ability to work in a multicultural environment.
Jeddah, Saudi Arabia; Riyadh, Saudi Arabia; Tabuk, Saudi Arabia; Al Khobar, Saudi Arabia; Yanbu, Saudi Arabia
Location: United States, San Mateo, CA
Why Sony Interactive Entertainment?
Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity.
Senior Software Engineer – Logging, Diagnostics & Post-Release Incident Analysis
Overview
The PlayStation Portal Platform team is seeking a Senior Software Engineer to lead the design, development, and operation of Logging and Diagnostics infrastructure that enables rapid detection, investigation, and resolution of Performance, Stability, and Platform Quality issues occurring after products are released to customers.
In this role, you will be responsible for building scalable Logging Architecture, Crash Diagnostics, and Incident Analysis Frameworks that empower engineering teams to perform efficient root cause analysis of field issues. You will collaborate closely with Engineering, Quality Engineering (QE), Customer Support, Security, and Product teams to reduce the time from issue detection to root cause identification and drive continuous improvements in product quality and reliability.
We are looking for engineers who are passionate about quality, thrive on solving complex system-level problems, and take strong ownership in delivering exceptional user experiences through continuous improvement.
Key Responsibilities
Logging Architecture
Define and drive the overall platform logging strategy.
Design and implement logging frameworks for AOSP-based systems.
Establish log collection, storage, retention, and archival strategies.
Define structured logging standards and best practices.
Design logging mechanisms optimized for field debugging and post-release analysis.
Improve platform observability and telemetry quality.
Diagnostics & Debuggability
Build infrastructure for Crash, ANR, Native Crash, and Kernel Panic analysis.
Define strategies for collecting and analyzing Tombstones, DropBox entries, Bugreports, and diagnostic artifacts.
Develop diagnostic frameworks for system failure analysis and troubleshooting.
Create tools that support issue reproduction and root cause analysis.
Drive initiatives that improve platform debuggability and diagnosability.
Partner with development teams to ensure diagnostic capabilities are built into the platform.
Post-Release Incident Analysis
Investigate and analyze production issues occurring in customer environments.
Identify, classify, and track recurring failure patterns.
Lead incident reviews, postmortems, and corrective action initiatives.
Drive improvements in Mean Time to Detect (MTTD) and Mean Time to Resolution (MTTR).
Provide actionable recommendations to engineering teams for quality improvements.
Monitoring & Alerting
Design and implement log-based monitoring systems.
Develop anomaly detection mechanisms for platform health and stability.
Build automated alerting and escalation frameworks.
Create dashboards and reporting tools for field quality monitoring.
Define and track reliability metrics and operational KPIs.
Security & Compliance
Design and implement secure logging and diagnostics infrastructure.
Ensure protection of PII and sensitive customer information.
Support security incident investigations and forensic analysis.
Define log retention policies and ensure compliance with company and regulatory requirements.
Collaborate with Security teams to implement secure-by-design principles.
Required Qualifications
A genuine passion for delivering high-quality software and exceptional user experiences, with a strong sense of ownership and accountability for product quality.
Experience working in Agile development environments and driving continuous quality improvements through iterative development, data-driven decision making, and customer feedback.
Bachelor's or Master's degree in Computer Science or a related field, or equivalent practical experience.
5+ years of experience in Android native development with strong expertise in Java/Kotlin and Android Studio.
Experience developing Android/AOSP system software.
Experience designing and implementing Logging, Diagnostics, or Observability systems.
Strong experience with crash analysis, production debugging, and root cause investigation.
Experience debugging Linux Kernel or low-level system software issues.
Strong programming skills in C/C++, Java, and/or Kotlin.
Experience analyzing large-scale production incidents and system failures.
Proven track record of conducting Root Cause Analysis (RCA) and driving corrective actions.
Strong understanding of software architecture, operating systems, and system software fundamentals.
Excellent analytical, problem-solving, communication, and collaboration skills.
Preferred Qualifications
Experience developing Android Framework components.
Experience with Kernel Logging, Tracing, and low-level diagnostics.
Hands-on experience with Perfetto, Systrace, ftrace, or similar profiling and tracing tools.
Experience building or operating Crash Analytics platforms.
Experience with Security Incident Response and forensic investigations.
Experience developing Consumer Electronics products.
Site Reliability Engineering (SRE) experience.
Experience with modern JavaScript frameworks such as React, React Native, Angular, or similar technologies for building responsive user interfaces and dynamic applications.
Experience designing telemetry, observability, monitoring, or analytics platforms.
Familiarity with cloud-native logging and analytics solutions.
Experience developing developer tools, debugging tools, or operational dashboards.
What We're Looking For
Passion for quality, reliability, and operational excellence.
Strong ownership and accountability for outcomes.
Customer-focused mindset with a commitment to exceptional user experiences.
Ability to investigate complex system-level issues and identify root causes.
Strong collaboration skills across cross-functional teams.
Continuous improvement mindset and commitment to engineering excellence.
Impact
Your work will directly influence the quality, reliability, and supportability of PlayStation Portal products used by millions of players worldwide.
By building world-class logging, diagnostics, monitoring, and incident analysis capabilities, you will enable engineering teams to detect issues faster, resolve them more efficiently, and continuously improve the customer experience.
At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location.
Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location.
In addition, this role
is eligible
for SIE’s top-tier benefits package that includes medical, dental, vision, matching 401(k), paid time off, wellness program and coveted employee discounts for Sony products.
This role also may be eligible for a bonus package.
Click
here
to learn more.
The estimated base pay range for this role is listed below.
$193,300
—
$289,900 USD
Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks.
Please refer to our
Candidate Privacy Notice
for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights.
Equal Opportunity Statement:
Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category.
We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond.
Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.
Location: Remote, Canada; Remote, US
GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster.
The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems.
Co-create the future with us
as we build technology that transforms how the world develops software.
*
Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab.
An overview of this role
GitLab is building the most comprehensive AI-powered DevSecOps platform, and this role will help shape how teams move from planning to code in an AI-native software development lifecycle.
As Senior Product Manager, Source Code, you'll shape how planning and managing source code will evolve in an AI-native software development lifecycle. This role is focused on bringing planning and code closer together, so teams can move from requirements and specifications to commits, merge requests, and customer value with speed and quality.
This area is evolving quickly. We're exploring how AI agents can use specifications, context, and human feedback to build the right thing, not just build the thing right. You'll define new product experiences for spec-driven, human-in-the loop development: how the link between planning intent and the code that implements it gets created, stays accurate as both change, and gets used at review time. The hard part is that this link decays. Code moves, specs might not follow, you will define how to make that connection self-maintaining.
This is an ambiguous, high-impact opportunity for a product manager who has strong software development lifecycle knowledge, is comfortable working with technical teams, and wants to help create something new in DevSecOps.
What You’ll Do
Define and drive product strategy for experiences that connect planning, source code management, and AI-assisted development.
Shape workflows where teams and agents move between intent and code in both directions, so a specification can be traced to the merges that implement it and a diff can be read and reviewed against the intent behind it.
Work with engineering, design, and other product teams to build product experiences that support human-in-the-loop and autonomous development workflows.
Partner with teams working on demos and prototypes, including near-term work around spec-driven planning and autonomous development modes, including which decisions stay with a human and why.
Use customer insights, product usage data, and market context to identify opportunities that can deliver customer value quickly.
Help teams ship fast with quality, balancing near-term execution with longer-term product direction.
Explore how planning can better account for reviewing code, reviewing test cases, and validating that work produced by agents matches the intended outcome.
Collaborate across Plan, Source Code Management, Code Review, and AI product areas to reduce friction across the software development lifecycle.
What You’ll Bring
Experience as a product manager working on developer tools, DevOps tools, source code management, planning tools, AI-native products, or related software development lifecycle products.
Direct, hands-on experience with the source code lifecycle, including branches, merge requests, code review, CI/CD, and releases, whether as a product manager or as an engineer, along with a strong understanding of how software moves from ideas and requirements through planning, coding, review, testing, and delivery.
Experience working with technical product areas and engineering teams, with enough technical depth to understand developer workflows and tradeoffs.
A data-forward approach to product management, including experience using data to identify customer impact and guide prioritization.
Comfort operating in ambiguous spaces where there may not yet be a clear market pattern or established product category.
Experience building or shipping with AI tools and agents, not just using them, and a point of view of your own on where AI helps and where it does not across the software development lifecycle.
Ability to think creatively about how AI changes the software development lifecycle and how product experiences should adapt.
Strong collaboration and communication skills, especially in an all-remote, asynchronous environment.
A bias toward action and the ability to help teams ship meaningful customer value quickly.
About the team
This role sits within the Product organization and will work closely with teams across Plan, Source Code Management, Code Review, and AI. We are focused on helping GitLab customers plan, build, and deliver software in a faster, more connected way.
You'll join a group that is rethinking how planning and coding should work as AI changes the speed and shape of software development. Rather than treating planning, coding, and review as separate stages, we're exploring how to bring these workflows closer together so humans and agents can collaborate more effectively.
The base salary range for this role’s listed level is currently for residents of the United States only. This range is intended to reflect the role's base salary rate in locations throughout the US. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location. The base salary range does not include any bonuses, equity, or benefits. See more information on our
benefits
and
equity
. Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary.
United States Salary Range
$139,200
—
$235,200 USD
How GitLab Supports Full-Time Employees
Benefits to support your health, finances, and well-being
Flexible Paid Time Off
Team Member Resource Groups
Equity Compensation & Employee Stock Purchase Plan
Growth and Development Fund
Parental Leave
Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from
underrepresented groups
are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application.
Country Hiring Guidelines:
GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process.
Privacy Policy:
Please review our
Recruitment Privacy Policy.
Your privacy is important to us.
GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also
GitLab’s EEO Policy
and
EEO is the Law
. If you have a disability or special need that requires
accommodation
, please let us know during the
recruiting process
.
Location: San Francisco, CA | New York City, NY | Seattle, WA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the Role
We're looking for experienced engineers to build and scale the database infrastructure that powers Claude's products and Anthropic's research. As a Software Engineer on the Databases team, you'll architect and operate the systems that let millions of users interact with Claude while also supporting frontier AI research workloads.
You'll help set the database strategy for Anthropic: designing systems that handle billions of API requests, building storage that runs cleanly across GCP, AWS, and a range of deployment models, and creating the reliable data layer that lets research move fast.
The Databases team spans three areas: the core database platform (data plane and control plane), data movement (migrations, backfill, and change data capture), and caching. We're hiring across all three.
Key Responsibilities
Drive the technical direction for database solutions used across Product and Research
Design and implement database solutions that scale to support millions of users across Claude's product ecosystem
Build and scale database systems through 100x+ growth while maintaining reliability and performance
Build the database platform that lets Anthropic engineers ship without thinking about databases or scaling.
Architect data storage solutions that operate across GCP, AWS, first-party deployments, third-party deployments, and other environments
Develop database infrastructure that serves both product and research workloads with different performance characteristics
Build data movement infrastructure (migration tooling, backfill, and change data capture pipelines) that safely consolidates and moves data across the organization
Design and operate caching infrastructure, including CDC-driven cache invalidation, that keeps Anthropic's hottest paths fast and correct
Partner with product and research teams to understand data requirements and build infrastructure that accelerates their work
Optimize database performance, reliability, and cost efficiency at scale
Make build-vs-buy decisions for database technologies
Minimum Qualifications
Significant experience as a software engineer building and operating production database or storage systems
Deep knowledge of distributed database architectures and OLTP systems at scale
Proficiency with SQL and at least one major relational or distributed database engine (e.g., PostgreSQL, MySQL, Spanner, CockroachDB, DynamoDB)
Track record of leading large, complex infrastructure projects as an engineer or tech lead
Ability to balance moving quickly with the reliability needs of production systems
Strong technical leadership and cross-functional collaboration skills
Preferred Qualifications
10+ years building and scaling database systems, with 3+ years leading large-scale projects or teams
Experience scaling databases through periods of rapid growth at high-growth companies
Experience operating Spanner, CockroachDB, TiDB, AlloyDB, or other globally distributed SQL databases in production
Experience with Redis, Temporal, vector databases, or async job processing frameworks
Experience with change data capture (Debezium or similar), large-scale data migration, or streaming data infrastructure
Experience building multi-cloud or hybrid cloud database solutions
Knowledge of database orchestration and automation at scale
Contributions to database internals, storage engines, or related open source projects
Note: Prior AI/ML infrastructure experience is not required. We value deep infrastructure and database expertise from any domain.
Deadline to apply:
None. Applications will be reviewed on a rolling basis.
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$320,000
—
$485,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: San Francisco, CA | New York City, NY | Seattle, WA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
We're looking for experienced engineers to build Anthropic's cache layer as a managed service from the ground up. The Caching team is part of the Databases organization and owns the systems that keep Anthropic's hottest paths fast and correct: a managed Redis fleet, client libraries used across the company, and CDC-driven cache invalidation that solves one of distributed systems' hardest problems the right way.
This is a foundational role on a small team with outsized leverage. Every millisecond you take off a hot path is multiplied across every Claude request. You'll set the technical direction for caching at Anthropic, from the data plane to the developer experience, and you'll work closely with product and research teams to make caching something engineers get for free rather than something they have to think about.
Key responsibilities
Drive the technical direction for caching infrastructure used across Product and Research
Design, build, and operate a managed Redis fleet that scales to support millions of users across Claude's product ecosystem
Build client libraries and developer-facing abstractions that make correct caching the default for Anthropic engineers
Design and operate CDC-driven cache invalidation that keeps cached data consistent with source-of-truth databases
Architect caching solutions that operate across GCP, AWS, first-party deployments, and other environments
Optimize latency, hit rates, reliability, and cost efficiency on Anthropic's hottest paths
Build observability and tooling that makes cache behavior easy to understand and debug
Partner with product and research teams to understand access patterns and build infrastructure that accelerates their work
Make build-vs-buy decisions for caching technologies
Minimum qualifications
Significant experience as a software engineer building and operating production distributed systems
Deep knowledge of caching architectures, including invalidation strategies, consistency tradeoffs, and failure modes
Experience operating Redis, Memcached, or similar in-memory data stores in production
Proficiency in at least one systems programming language (e.g., Go, Rust, Java, C++) or Python at scale
Track record of leading large, complex infrastructure projects as an engineer or tech lead
Ability to balance moving quickly with the reliability needs of production systems
Strong technical leadership and cross-functional collaboration skills
Preferred qualifications
10+ years building and scaling distributed infrastructure, with 3+ years leading large-scale projects or teams
Experience building managed infrastructure platforms or internal services consumed by many engineering teams
Experience with change data capture (Debezium or similar) or streaming data infrastructure
Experience operating Redis Cluster, Valkey, ElastiCache, Memorystore, or similar managed offerings at scale
Experience designing client libraries or SDKs for internal infrastructure
Experience scaling infrastructure through periods of rapid growth at high-growth companies
Experience with multi-cloud or hybrid cloud deployments
Contributions to caching systems, database internals, or related open source projects
Note: Prior AI/ML infrastructure experience is not required. We value deep infrastructure expertise from any domain.
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$320,000
—
$485,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Ukraine; Moldova; Latvia; Slovakia; Czech Republic; Slovenia; Romania; Turkey; Kazakhstan; Brazil; Poland; Hungary; Montenegro; Estonia; European Union; Cyprus; Lithuania; Serbia; Georgia
Workplace: Remote
ABOUT US
Ruby Labs is a leading tech company that creates and operates innovative consumer products. We offer a diverse range of opportunities across the health, education, and entertainment industries. Our innovative teams are driving the future of consumer-led products, and we're always looking for passionate individuals to join us. Learn more about our story at: https://rubylabs.com/about-us/
ABOUT THE ROLE
We are seeking a Billing Data Analyst to join our Billing and Data team. You will play a key role in analyzing financial performance, billing behavior, risk trends, and support operations. Your work will help drive better decision-making, reduce financial risks, and improve billing efficiency across all products. This role combines analytical rigor, statistical thinking, and cross-functional collaboration.
KEY RESPONSIBILITIES
- Monitor, analyze, and report on key billing and support performance indicators and emerging trends.
- Build and maintain data pipelines to ensure accurate, timely, and reliable data delivery.
- Apply statistical methods to project scenarios, assess “what-if” outcomes, and anticipate financial risks.
- Run A/B tests and experiments to evaluate billing and support strategies.
- Collaborate with cross-functional teams (Billing, Support, Finance, Product, Marketing) to align processes with risk-mitigation goals.
- Analyze the impact of marketing and product changes on billing outcomes, risk behavior, and customer support metrics.
- Provide actionable recommendations to improve billing performance and reduce disputes, churn, and operational inefficiencies.
- Document analyses, workflows, and data logic to ensure clarity and consistency.
QUALIFICATIONS
- Bachelor’s degree in Data Science, Statistics, Computer Science, Economics, or a related field.
- Experience as a Data Analyst, ideally within fintech, subscription products, billing, or customer support.
- Strong SQL skills.
- Experience with popular BI tools such as Tableau, Looker, or similar
- Experience with Python or R
- Solid understanding of statistical analysis, forecasting, and scenario modeling.
- Experience running A/B tests and interpreting experiment results.
- Excellent problem-solving skills, attention to detail, and ability to work in a fast-paced environment.
- Strong communication skills, with the ability to explain findings to both technical and non-technical stakeholders.
- Curiosity, ownership mindset, and the discipline to maintain high-quality data work.
NICE TO HAVE
- Experience with BigQuery, ClickHouse, or any cloud data warehouse.
- Basic Python knowledge for data cleaning or simple analysis.
- Exposure to subscription businesses or payment systems.
- Understanding of disputes, chargebacks, declines, or fraud signals.
- Familiarity with DBT or data quality frameworks.
LOCATION
Ruby Labs operates within the CET (Central European Time) zone. Applicants from any country are welcome to apply for the position as long as they are located within approximately ± 4 hours of CET. This ensures optimal collaboration and communication during working hours.
BENEFITS
Discover the perks of being part of our vibrant team! We offer:
- Remote Work Environment: Embrace the freedom to work from anywhere, anytime, promoting a healthy work-life balance.
- Unlimited PTO: Enjoy unlimited paid time off to recharge and prioritize your well-being, without counting days.
- Paid National Holidays: Celebrate and relax on national holidays with paid time off to unwind and recharge.
- Company-provided MacBook: Experience seamless productivity with top-notch Apple MacBooks provided to all employees who need them.
- Flexible Independent Contractor Agreement: Unlock the benefits of flexibility, autonomy, and entrepreneurial opportunities. Benefit from tax advantages, networking opportunities, reduced employment obligations, and the freedom to work from anywhere. Read more about it here: https://docs.google.com/document/d/1nkrN76JlZkbKj9WSOhlT1_mni_CZeDkHdwfIjPXVwvk/preview?tab=t.0
Be part of our fast-growing team and seize this excellent opportunity for personal and professional growth!
INTERVIEW PROCESS
After submitting your application, we conduct a thorough review which typically takes 3 to 5 days, but may occasionally take longer due to the volume of applications received. If we see a potential fit, we proceed with the following steps:
- Recruiter Screening (40 minutes)
- Technical Interview (60 minutes)
- Final Interview (30 minutes)
LIFE AT RUBY LABS
At Ruby Labs, we move fast, aim high, and expect the same from our team. We’re not here to play small—we’re here to build, grow, and win. That means we look for people who are ambitious, driven, and ready to give their best every single day.
This is a place for individuals who thrive under pressure, embrace challenges, and see opportunity in every obstacle. If you’re hungry to achieve, motivated by impact, and want to grow at the speed of your own ambition, Ruby Labs offers the platform to make it happen.
Here, effort is matched with reward. We recognize those who go all in and deliver results, and we create space for people who want more—more responsibility, more growth, and more success.
#LI-Remote
Location: Ukraine; Moldova; Latvia; Slovakia; Czech Republic; Slovenia; Romania; Kazakhstan; Poland; Hungary; Montenegro; Estonia; European Union; Cyprus; Lithuania; Greece
Workplace: Remote
ABOUT US
Ruby Labs is a leading tech company that creates and operates innovative consumer products. We offer a diverse range of opportunities across the health, education, and entertainment industries. Our innovative teams are driving the future of consumer-led products, and we're always looking for passionate individuals to join us. Learn more about our story at: https://rubylabs.com/about-us/
ABOUT THE ROLE
We’re looking for a Lead Billing Data Analyst (Billing, Payments & Subscription Analytics) to own the data strategy behind our subscription billing operations. This is a hands-on leadership role: you’ll build analyses and pipelines that improve billing performance, while also managing and mentoring a team of analysts.
KEY RESPONSIBILITIES
ANALYTICS & TECHNICAL WORK
- Monitor, analyze, and report on billing and support performance metrics (payments, renewals, refunds, disputes/chargebacks), and surface emerging trends.
- Build and maintain data pipelines that deliver accurate, timely, and reliable billing data.
- Apply statistical methods to model scenarios, run “what-if” analyses, and anticipate financial risk.
- Design and run A/B tests and experiments to evaluate billing and support initiatives.
- Analyze the impact of product, marketing, and pricing changes on billing outcomes, risk behavior, and customer support metrics.
- Build and maintain dashboards and visual reporting that provide clear, real-time visibility into billing health and support performance.
- Turn insights into recommendations that reduce disputes, churn, and operational inefficiencies.
- Document analyses, workflows, definitions, and data logic to ensure clarity, reproducibility, and consistency.
LEADERSHIP & COLLABORATION
- Lead, mentor, and grow a team of data analysts: set expectations, coach on methodology, and ensure high-quality output.
- Own the team’s intake and prioritization process; manage task flow and delivery timelines against business needs.
- Uplevel the team’s billing domain knowledge and analytical/technical skills.
- Partner cross-functionally with Billing, Support, Finance, Product, and Marketing to align metrics, definitions, and processes with risk-mitigation goals.
QUALIFICATIONS
- Deep subscription billing expertise: substantial experience with payments, renewals, refunds, disputes/chargebacks/TC40 in a recurring-revenue business (non-negotiable).
- Advanced SQL: complex joins, window functions, incremental logic, and performance-aware query writing.
- Data visualization: proficiency with Omni, Tableau, Power BI, or similar tools to build dashboards and communicate insights clearly.
- People leadership: experience setting priorities, distributing work, reviewing output, and being accountable for a team’s results.
- Statistical & analytical rigor: forecasting, experiment design, and translating ambiguous business questions into structured analysis.
- Billing platforms / processors: familiarity with tools such as Stripe, Braintree, Nuvei, or similar.
- Strong communication: ability to explain complex findings to both technical and non-technical stakeholders.
- Cross-functional collaboration: track record of influencing decisions with data across multiple departments.
NICE TO HAVE
- Python and/or modern analytics tooling (dbt, Airflow, or similar).
- Experience building and maintaining ETL/ELT pipelines for billing or financial data.
- Risk analysis or fraud-adjacent experience in billing contexts.
- Advanced visualization techniques (cohorts, funnels, anomaly detection dashboards).
LOCATION
Ruby Labs operates within the CET (Central European Time) zone. Applicants from any country are welcome to apply for the position as long as they are located within approximately ± 4 hours of CET. This ensures optimal collaboration and communication during working hours.
BENEFITS
Discover the perks of being part of our vibrant team! We offer:
- Remote Work Environment: Embrace the freedom to work from anywhere, anytime, promoting a healthy work-life balance.
- Unlimited PTO: Enjoy unlimited paid time off to recharge and prioritize your well-being, without counting days.
- Paid National Holidays: Celebrate and relax on national holidays with paid time off to unwind and recharge.
- Company-provided MacBook: Experience seamless productivity with top-notch Apple MacBooks provided to all employees who need them.
- Flexible Independent Contractor Agreement: Unlock the benefits of flexibility, autonomy, and entrepreneurial opportunities. Benefit from tax advantages, networking opportunities, reduced employment obligations, and the freedom to work from anywhere. Read more about it here: https://docs.google.com/document/d/1tzxGX4Uu7Ts_HCLFXESKLnKaaBfVCPf1f9AYZPrkjJM/preview?tab=t.0 https://docs.google.com/document/d/1nkrN76JlZkbKj9WSOhlT1_mni_CZeDkHdwfIjPXVwvk/preview?tab=t.0
Be part of our fast-growing team and seize this excellent opportunity for personal and professional growth!
INTERVIEW PROCESS
After submitting your application, we conduct a thorough review which typically takes 3 to 5 days, but may occasionally take longer due to the volume of applications received. If we see a potential fit, we proceed with the following steps:
- Recruiter Screening (40 minutes)
- Technical Interview (90 minutes)
- Final Interview (60 minutes)
LIFE AT RUBY LABS
At Ruby Labs, we move fast, aim high, and expect the same from our team. We’re not here to play small—we’re here to build, grow, and win. That means we look for people who are ambitious, driven, and ready to give their best every single day.
This is a place for individuals who thrive under pressure, embrace challenges, and see opportunity in every obstacle. If you’re hungry to achieve, motivated by impact, and want to grow at the speed of your own ambition, Ruby Labs offers the platform to make it happen.
Here, effort is matched with reward. We recognize those who go all in and deliver results, and we create space for people who want more—more responsibility, more growth, and more success.
#LI-Remote
Location: Salt Lake City, Utah, United States
About the Role
iCapital is looking to hire a Site Reliability Engineer to join the Site Reliability Engineering team, which plays a critical role in ensuring the platform delivers consistent, reliable service to clients. The services run on Kubernetes in AWS, and this role is focused on maintaining the health, stability, and performance of production environments.
This position is ideal for a hands-on engineer who thrives in diagnosing complex production issues where the root cause is not immediately apparent. This role transforms insights gained from production incidents into stronger reliability standards, safer deployment practices, more effective alerting, and automation that helps prevent recurring issues. While metrics, logs, and traces are leveraged daily, the core focus is identifying, resolving, and learning from the issues they reveal.
Responsibilities
Act as a senior escalation point for complex production issues in Kubernetes-based services, leading hands-on investigation across application, container, Kubernetes, and AWS layers through to root cause.
Partner with the teams that own our cluster infrastructure to resolve platform-level issues, and feed what you learn back into reliability standards and improvements.
Define and implement reliability and operability standards for Kubernetes-based services, including resource sizing, health checks, scaling patterns, rollout safety, and baseline monitoring, as part of service onboarding.
Serve as the incident commander or senior technical lead for high-severity incidents, lead postmortems, and drive systemic improvements through action items and measurable follow-through.
Turn recurring investigations into runbooks, diagnostic tooling, and automated remediation that shorten time to resolution and eliminate toil.
Coach engineers in systematic troubleshooting and Kubernetes best practices through reviews, game days, and knowledge sharing.
Define, implement, and iterate service level objectives (SLOs) and service level indicators (SLIs) that reflect customer and business expectations.
Standardize monitoring and alerting through “monitors as code” (Terraform preferred), including quality gates such as severity, ownership, and runbook links.
Operate and tune OpenTelemetry pipelines, including sanitizing data, managing cardinality, and enriching telemetry with consistent fields.
Maintain the infrastructure behind our monitoring stack, including Helm charts, ArgoCD ApplicationSets, Kinesis streams, Lambda functions, and Prometheus.
Participate in on-call rotations with a focus on improving reliability, reducing alert noise, and increasing signal quality over time.
Qualifications
5+ years in SRE or related roles, with evidence of technical seniority across multiple services and teams
3+ years of hands-on experience running and troubleshooting production workloads on Kubernetes, with a deep understanding of how Kubernetes schedules, connects, scales, and rolls out workloads
Proven ability to independently diagnose complex failures in distributed systems running on Kubernetes, spanning application, configuration, resource, networking, and scaling issues, including cases where the root cause wasn't obvious
Strong Linux and networking fundamentals, with the ability to troubleshoot below the container layer
Strong production experience with AWS, including how cloud networking and access controls affect workloads running in Kubernetes
Strong incident response skills, including leading retrospectives and postmortems and following through on systemic fixes
Strong IaC skills (Terraform preferred), with examples of reusable modules, monitors-as-code patterns, or similar standardization work, and the coding ability to build automation and diagnostic tooling
Track record of defining SLOs/SLIs and using an observability stack (i.e. Prometheus and Grafana, New Relic, Splunk, or similar) to drive decisions and find root causes quickly
Clear written and verbal communication skills with the ability to influence engineering teams through standards, tooling, and practical guidance
Kubernetes certification (CKA or CKS) or equivalent depth
Experience improving rollout safety and autoscaling behavior for Kubernetes workloads
Familiar with common data stores (Postgres, MongoDB, DynamoDB) and how they fail in distributed systems
OpenTelemetry instrumentation experience at scale is preferred
Benefits
The base salary range for this role is $130,000 to $160,000 depending on level. iCapital offers a compensation package which includes salary, equity for all full-time employees, and an annual performance bonus. Employees also receive a comprehensive benefits package that includes an employer matched retirement plan, generously subsidized healthcare with 100% employer paid dental, vision, telemedicine, and virtual mental health counseling, parental leave, and unlimited paid time off (PTO).
We believe the best ideas and innovation happen when we are together. Employees in this role will work in the office Monday-Thursday, with the flexibility to work remotely on Friday.
For additional information on iCapital, please visit
https://www.icapitalnetwork.com/about-us
Twitter: @icapitalnetwork | LinkedIn:
https://www.linkedin.com/company/icapital-network-inc
| Awards Disclaimer:
https://www.icapitalnetwork.com/about-us/recognition/
iCapital is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
Meet Arago and the Aragonians Arago is an AI and computer hardware company whose mission is to drive the course of history forward. We do so by accelerating breakthroughs at the intersection of AI and semiconductors. Founded in 2024 by AI researchers and physicists with deep expertise in photonics, electronics, software, mathematics, and machine learning, Arago brings together a lean team of engineers and scientists from the world’s top companies and research labs. Composed of nine nationalities and operating from hubs in France, North America, and Israel, we believe in great science and fast achievements. Our work is guided by these core principles: Do great things: we deliver work we’re proud to sign our name to. High velocity: speed matters. We move quickly, one step at a time. One unit: we’re all in this together, with relationships grounded in trust, respect, and camaraderie. Arago is backed by executives from Apple, Arm, Nvidia, Microsoft, and Hugging Face, as well as prominent US and European deeptech venture firms and exited founders.
What you’ll do
As a Senior AI/ML Scientist, you will work at the intersection of modern AI models, numerical precision, and novel computing architectures. Your mission will be to develop the methods that allow AI models to run accurately, efficiently, and reliably on Arago’s computing system. This position combines strong quantization and “digital twin” aspects: understanding how frontier models tolerate reduced precision, defining the right numerical formats and quantization strategies, and building software representations of the processor to model the physical effects that impact AI model accuracy. This role is both scientific and practical. You will help shape the bridge between AI models and Arago’s hardware.
Required Skills and Experience
Background in mathematics, physics, computer science, or a related quantitative field. Strong interest and skills in applied mathematics and statistics. Strong experience with quantization of machine learning and AI models. Strong understanding of modern model architectures, including language models, diffusion models, video generation models, and/or world models. Experience studying the impact of numerical precision, noise, or approximation on model accuracy. Experience with inference performance optimization. Good knowledge of computer architecture, GPU architecture, or parallel computing. Ability to build rigorous experimentation pipelines and translate research insights into practical engineering decisions. GitHub profile with recent and relevant projects. Language: English at a proficient level. French is a plus.
Responsibilities
Develop Arago’s quantization strategy for modern AI models, including precision studies, numerical format exploration, and model-level techniques to preserve accuracy under constrained precision. Study the impact of analog noise on the performance and inference accuracy of machine learning models, including language models, diffusion, video generation, and world models. Develop simulation tools to model analog behavior with minimal computational overhead. Build and maintain Arago's internal experimentation pipelines for precision and performance studies on both physical and emulated prototypes. Act as a technical point of contact between clients and Arago: analyze, port, and optimize client models onto Arago hardware, balancing throughput and accuracy. Collaborate with the software and digital architecture teams to support architectural enhancements based on the operator content of frontier model architectures.
Pay and benefits
Competitive cash compensation, with final package based on location, experience, and the pay of team members in similar positions. Meaningful stock option plan offered at the earliest stage of the company (included in the majority of full time offers). Relocation bonus and coverage of moving expenses for relocation within 20 minutes of the company’s location. Healthcare coverage (including family-friendly options), pension contributions, professional development support, and 25 days of PTO, in addition to public holidays. Ownership of a key technical domain, with significant vertical and/or horizontal growth opportunities, based on performance and individual drive. Reimbursement of 50% of the public transport subscription fee. A high-paced, multicultural (with 10 nationalities), and engineering-led environment.
Location: Baku
Workplace: onsite
ABOUT YOU
Xsolla seeks a security engineer to join a new security team during a critical build-out phase. You work across application security and infrastructure security - reviewing code, hardening cloud environments, supporting incident response, and partnering with engineering teams to improve security posture across the company.
This is a generalist role well-suited to an early-team hire. You are comfortable working across domains rather than specializing in one, and you grow into deeper expertise as the team and program mature. You collaborate closely with the security program manager and work directly with engineering teams on secure design, findings, and remediation.
Our tech stack includes GCP, vSphere/ESX, Kubernetes and container workloads, MariaDB, CockroachDB, Go, PHP, and Python. You do not need expertise in all of these, but you are comfortable navigating a mixed environment and learning what you need.
As always true in job descriptions, there is an intangible value that is hard to capture. We look for a diverse set of perspectives and skills. Even if you don't match every requirement, we encourage you to apply if you think you can be highly successful in this role.
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
Perform Application Security Reviews
- Conduct code reviews, run
SAST
/
DAST
and dependency scanning tools, and work with engineering to resolve findings.
Participate in Threat Modeling
- Contribute to threat modeling sessions for new features and architecture changes, helping identify risks early in the design process.
Help Harden Cloud and Container Infrastructure
- Work on GCP, Kubernetes, and
IAM
configurations to strengthen the security of our cloud and container environments.
Participate in Pen Test Remediation
- Help triage penetration test findings and work with engineering teams to implement fixes, coordinating closely with the security program manager.
Partner with Engineering on Secure Design
- Review architectures, advise on secure implementation patterns, and help teams make informed security decisions.
Identify and Track Security Findings
- Document findings, assess severity, and track them through the remediation lifecycle to resolution.
Support Incident Response
- Help investigate and document security events, contribute to root-cause analysis, and support containment efforts.
Write Async Security Guidance
- Produce advisories, best-practice documentation, and practical guidance that helps engineering teams build securely across time zones.
Support Product Security
- Work with partners on the security posture of customer-facing services, contributing to reviews and assessments as needed.
What You Bring
Foundational AppSec Knowledge
- Understands common vulnerability classes, secure coding patterns, and how to conduct a meaningful code review.
Cloud Environment Exposure
- Has worked with GCP or a similar cloud provider and is comfortable with
IAM
, networking, and container concepts.
Code Literacy
- Reads and reviews code in one or more of: Go, Python, PHP. Does not need to be a software engineer, but can follow logic and spot issues.
Security Tooling Familiarity
- Has used or is familiar with
SAST
,
DAST
, or dependency scanning tools and understands how they fit into a development workflow.
Strong Written Communication
- Writes clear, concise async documentation - findings, advisories, guidance - that works across time zones and audiences.
Collaborative Mindset
- Partners effectively with engineering teams. Focuses on helping teams build securely rather than just identifying problems.
Self-Directed with Growth Mindset
- Eager to learn, comfortable with ambiguity, and able to make progress with minimal direction in a new and evolving team.
Nice to Have
Threat modeling experience;
Hands-on Kubernetes or container security experience;
Infrastructure security background - Linux, networking, vSphere/
ESX;
Familiarity with
NIST
CSF
,
PCI
, SOC 2, or ISO 27001 from a technical perspective;
Detection engineering or incident response experience;
Experience building security automation or internal tooling;
Relevant certifications (
OSCP
,
GWAPT
,
CKS
, or similar hands-on certs).
Xsolla operates across multiple time zones. Strong written communication is essential - you will need to document your work clearly so findings and context are not lost across handoffs. We value directness, intellectual honesty, and follow-through. If you do not know something, say so and find out. If you find something, explain it clearly and see it through to resolution.
Location: București, Romania
Workplace: none
EveryMatrix
is a leading B2B SaaS provider delivering iGaming software, content and services. We provide casino, sports betting, platform and payments, and affiliate management to
300 customers worldwide.
But that's not all! We're not just about numbers,
we're about people
. With a team of over 1400 passionate individuals spread across twelve countries in Europe and Asia, we're all united by our love for innovation and teamwork.
Join us on this exciting journey as we continue to redefine the iGaming landscape, one groundbreaking solution at a time.
We are looking for a dedicated Senior FullStack Developer to join our team in Bucharest!
What You'll get to do:
Own the design, development, and delivery of complex features and automation solutions across the stack.
Define, enforce, and continuously improve internal coding standards, operational processes, and best practices.
Refactor, optimize, and extend existing codebases and automation scripts with a focus on maintainability, performance, and scalability.
Lead code reviews, set quality expectations, and mentor junior and mid-level colleagues.
Ensure comprehensive testing and documentation across owned areas.
Take ownership of incident management, CI/CD pipelines, and operational support, including root cause analysis and prevention.
Drive technical decisions and contribute actively to architectural discussions and long-term technical direction.
Break down complex initiatives into deliverable tasks, provide reliable estimates, and communicate progress and risks to stakeholders.
Handle high-complexity incidents end to end and act as an escalation point for the team.
Share knowledge proactively and contribute to the team's overall technical growth.
What we’re looking for:
5+ years of professional experience in fullstack development.
Expert-level knowledge of JavaScript, HTML, and CSS.
Strong hands-on experience with Node.js, REST API design, and automation.
Deep understanding of OOP principles, design patterns, data structures, and system design fundamentals.
Proficiency with Git, Linux environments, and CI/CD pipelines.
Proven track record of improving code quality, test coverage, and development processes.
Strong communication skills, including mentoring, giving structured feedback, and cross-team collaboration.
Ability to work fully autonomously, take ownership, and drive initiatives in a fast-paced environment.
Advanced English (writing and speaking).
Here's what we offer:
Start with 22 days of annual leave, with 2 additional days added each year, up to 32 days by your fifth year with us.
Benefit from two Free Fridays each year, limited to one per quarter.
3 sick leave days per year, no doctor's note required.
Daily catered lunch or monthly lunch allowance.
Private Medical Subscription.
Access online learning platforms like Udemy for Business and a budget for external training.
Access to an Employee Assistance Program through TELUS Health.
Our office perks include parking, on-site massages, and frequent team-building activities in various locations. And did we mention our amazing office space complete with its own pool and gym?
At EveryMatrix, we're committed to creating a supportive and inclusive workplace where you can thrive both personally and professionally. Come join us and experience the difference!
EveryMatrix is a member of the World Lottery Association (WLA) and European Lotteries Association. In September 2023 it became the first iGaming supplier to receive WLA Safer Gambling Certification. EveryMatrix is proud of its commitment to safer gambling and player protection whilst producing market leading gaming solutions.
Location: San Francisco, CA | New York City, NY
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
Anthropic's researchers generate and depend on enormous amounts of data — training runs, evaluations, RL transcripts, annotations etc... The Research Data Platform team builds the systems that make that data easy to produce, find, query, and trust. We work in two modes: we build
platform components that other systems plug into
(for example, a metrics library that training frameworks integrate to record and retrieve run data), and we
own core datasets end to end
(for example, the data pipeline behind RL transcripts).
As the team's tech lead, your job starts with our users. You'll work directly with researchers — and with the engineers who support them — to understand how they actually work, where managing data slows them down, and where a well-built platform component or a well-curated dataset would change what's possible. You'll turn what you learn into technical direction for the team, in partnership with the team's manager, who owns priorities and people. A central ambition you'll drive: a small set of canonical, well-documented datasets — starting with the core data model for RL — that researchers trust and standardize on, rather than every team managing its own copies.
You'll spend your first few months close to the code and close to users: shipping improvements in our core systems, embedding with research teams, and building your own map of their workflows. As the team grows, this role has a natural path into formal people leadership for someone who wants it.
Responsibilities
Work directly with researchers and the engineers supporting them to understand their workflows, identify the highest-leverage opportunities, and shape what the team builds next
Set the technical direction for the team across our platform and our datasets
Design and build platform components that other teams plug into — libraries, services, and interfaces such as the metrics library used by training frameworks
Own core datasets end to end: the pipelines that produce them, the schemas that define them, and the documentation and guarantees that make researchers trust them
Drive convergence toward canonical datasets — including the core data model for RL transcripts — that research teams standardize on
Lead complex, multi-quarter projects that span several systems and teams, staying hands-on in the code
Raise the team's technical bar through design reviews, mentorship, and the quality of your own work
You may be a good fit if you:
Have built and operated data-intensive systems at scale — pipelines, storage layers, query systems — with strong instincts for data modeling and schema design that hold up as usage grows
Have set technical direction for a team, or owned the architecture of a data platform that other teams build on
Treat internal users as customers: you do the discovery work, iterate with users, and measure success by adoption rather than by shipping
Understand that researchers aren’t typical internal customers — the work is exploratory by nature, workflows differ from team to team, and requirements are discovered through experiments rather than specified up front
Can build for that motion — keeping interfaces stable and data trustworthy while use cases change underneath you, and judging when a quick, disposable solution serves research better than a durable one
Lead through influence — aligning engineers and stakeholders without relying on formal authority
Are results-oriented and pragmatic, willing to do unglamorous work when it's the highest-leverage thing
Are excited about learning the fundamentals of machine learning research (deep ML expertise is not required)
Care about the societal impacts of your work
Strong candidates may also have
Experience with large-scale ETL and columnar or analytical storage (e.g., Spark, BigQuery, ClickHouse, DuckDB, Parquet)
Experience with metrics or experiment-tracking systems, or high-volume time-series data
Experience with dataset management, cataloging, or lineage tooling
Built developer tooling or internal data platforms for demanding technical users — including in domains like quantitative trading, where fast-moving, exploratory data work looks a lot like research
A working knowledge of machine learning
Worked in, or closely with, an ML research lab
Interest in — or experience with — people management and growing engineers
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$405,000
—
$850,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
УдалённоNorth Macedonia; Serbia; South Africa; Poland; Morocco; Philippines
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.
УдалённоMexico; Colombia; Argentina; Brazil; Costa Rica; Paraguay
УдалённоPhilippines; South Africa; Ethiopia; Egypt; Morocco; Pakistan
География найма не уточнена
seniorUnited States, San Mateo, CA
УдалённоseniorRemote, Canada; Remote, US; The base salary range for this role’s listed level is currently for residents of the United States only
География найма не уточнена
География найма не уточнена
УдалённоUkraine; Moldova; Latvia; Slovakia; Czech Republic; Slovenia; Romania; Turkey; Kazakhstan; Brazil; Poland; Hungary; Montenegro; Estonia; European Union; Cyprus; Lithuania; Serbia; Georgia; Applicants from any country are welcome to apply for the position as long as they are located within approximately ± 4 hours of CET
УдалённоleadUkraine; Moldova; Latvia; Slovakia; Czech Republic; Slovenia; Romania; Kazakhstan; Poland; Hungary; Montenegro; Estonia; European Union; Cyprus; Lithuania; Greece; Applicants from any country are welcome to apply for the position as long as they are located within approximately ± 4 hours of CET
Salt Lake City, Utah, United States
seniorГеография найма не уточнена
ОфисBaku; Produce advisories, best-practice documentation, and practical guidance that helps engineering teams build securely across time zones; Writes clear, concise async documentation - findings, advisories, guidance - that works across time zones and audiences; Xsolla operates across multiple time zones