Location: Dhahran, Saudi Arabia; Al Khobar, Saudi Arabia; Al Jubail, Saudi Arabia; Dammam, Saudi Arabia; Riyadh, Saudi Arabia
We are looking for a
Training Specialist – Safety Trainer
to deliver safety training programs, assess trainees, and support safety certification activities. The ideal candidate should have strong
Oil & Gas safety training experience
, with proven experience
teaching and certifying students/trainees
in industrial safety, emergency procedures, and HSE practices. Saudi candidates are preferred.
Responsibilities
Conduct safety training programs for employees, trainees, and students.
Deliver classroom and practical training on
industrial safety, emergency procedures, and HSE practices
.
Teach and assess students on safety procedures and required competencies.
Conduct safety assessments, examinations, and practical evaluations.
Issue or support
training certificates/competency certifications
upon successful completion.
Develop and update training materials, presentations, assessments, and course content.
Deliver training related to emergency response, workplace safety, and environmental awareness.
Ensure training programs comply with applicable
Saudi, Oil & Gas, and international safety standards
.
Maintain accurate training records, attendance, assessment results, and certification records.
Monitor trainee performance and provide feedback and corrective guidance.
Support safety awareness programs and continuous improvement initiatives.
Ensure training is delivered effectively in both
Arabic and English
.
Requirements
Requirements
Education
Bachelor's Degree in Safety, Health & Environment (SHE/HSE), or
Associate Degree / 2-year Diploma in Industrial Safety or Safety Training.
Experience
With Degree: Minimum 4 years of Oil & Gas experience.
Without Degree: Minimum 11 years of Oil & Gas experience.
Strong preference for candidates with dedicated safety training/instruction experience.
Candidates should have experience teaching, assessing, and certifying students/trainees in safety-related subjects.
Experience as a Safety Trainer, HSE Trainer, Safety Instructor, or Industrial Safety Instructor is highly preferred.
Language
Fluent in spoken and written Arabic and English.
IELTS: Minimum 6.0, or equivalent TOEFL score:
Internet-Based: 60
Paper-Based: 498
Computer-Based: 171
Preferred Skills & Knowledge
Oil & Gas industry experience.
Knowledge of the Petrochemical industry.
Strong knowledge of Safety and Emergency Procedures.
Dhahran, Saudi Arabia; Al Khobar, Saudi Arabia; Al Jubail, Saudi Arabia; Dammam, Saudi Arabia; Riyadh, Saudi Arabia
Location: Toronto, Ontario
Workplace: Hybrid
Artificial Intelligence. Actual Impact.
At Docebo, we’re using AI to change how people learn at work—and we mean actually change it. We’re an AI-powered learning platform that helps organizations create, deliver, and manage training all in one place. But our real mission goes deeper: we help teams move faster, work smarter, and focus on the work that truly matters. Our platform is built with intelligent, time-saving tools that personalize learning, eliminate busywork, and turn training from a checkbox into a superpower. The result? Better experiences for learners and real results for businesses.
We’re shaping the future of learning with a team that isn’t afraid to challenge the status quo. If you're excited by the idea of using AI to make work-life better for real people–you’ll feel right at home here. And it’s not just what we build, it’s how we show up. At Docebo, our values aren’t just posters on the wall—they guide how we work every day. We call it the Docebo Heart: trust by default, assume positive intent, and create space for different perspectives to thrive.
So… what are you waiting for? Join 900+ Docebians around the world and help us reinvent the way people learn, because learning never stops.
THE ADVENTURE AHEAD 🚀
Our Salesforce team is at the center of how Docebo sells, renews, and serves customers. We're investing in how it operates, and this is a net-new role we're adding to lead that change. We have strong senior technical talent on the team — what we're adding is a product owner who can set direction, manage stakeholders, and give that talent well-scoped work to build.
You'll own the backlog and the priorities. You'll define the intake and process the team runs on. And you'll work shoulder-to-shoulder with our senior architects and admins as an advisor and partner — not to out-engineer them, but to make sure the team is solving the right problems in the right order, with the business bought in.
THE DAY-TO-DAY 🛠️
- The product backlog and priorities. Turn business needs into clear problem statements, user stories, and acceptance criteria. Prioritize with stakeholders so the team always knows what's next and why.
- Stakeholder management. Be the connective tissue between the Salesforce team and the business — Revenue Operations, Marketing, and Finance. Manage expectations, negotiate trade-offs, and bring the team into solution design early instead of receiving pre-baked requests.
- Process and ways of working. Define and stand up how the team intakes, prioritizes, and delivers work. Set the standard for a good request and make it stick, so work enters the team ready to build.
- Partnership with senior technical leads. Work with the team's architects and admins as an advisor and thought partner. You bring the product and process lens; they own the technical design. Together you keep the org healthy and the roadmap realistic.
- AI-driven innovation. Champion how the team uses AI to work smarter — from AI-assisted ticket triage and intake scoring to identifying where automation and AI can improve how Docebo runs on Salesforce.
- A seat at the table. Represent the Salesforce team when the business evaluates new tools, so decisions that affect the platform are made deliberately, not discovered later.
YOUR SUPERPOWERS ⚡
- Platform Depth: Proven experience as a Salesforce Architect, Senior Admin, or Business Analyst with the hands-on expertise needed to speak fluent platform and earn instant respect with technical leads.
- Product Ownership Mastery: Strong track record of running backlogs, scoping airtight requirements, prioritizing high-value features, and confidently saying "no" with strategic reasoning.
- Stakeholder Diplomacy: Exceptional ability to align competing business priorities across departments, negotiate trade-offs with senior leadership, and keep everyone bought into the plan.
- Process Architecture: Demonstrated success building lightweight, effective operating frameworks that bring structure and clarity to team workflows without adding bureaucratic bloat.
- Impactful Communication: Talent for translating technical complexities into business-friendly language for executives while keeping developers clear on the mission and priorities.
- AI-Forward Mindset: Natural curiosity and drive to leverage emerging AI solutions to optimize team operations and CRM efficiency.
- Governance Savvy: Deep comfort navigating regulated environments, including SOX controls, structured deployment schedules, and strict UAT standards.
BONUS POINTS 🌟
- Certified Expertise: Holding active Salesforce certifications (e.g., Administrator, Platform App Builder, or Architect track credentials).
- RevOps Synergy: Direct experience acting as the designated product owner partnering with a fast-paced Revenue Operations organization.
- Revenue Cloud Knowledge: Hands-on familiarity with Salesforce Revenue Cloud (CPQ/Billing) or leading complex billing system migrations.
- Applied AI Experience: Practical background implementing AI-driven workflows or tools within CRM or delivery environments.
OUR HYBRID WORK PHILOSOPHY 🤝
Great work can happen anywhere but coming together helps us go further. Our team spends three days a week in the office (Tuesday-Thursday) to collaborate, solve problems, and learn from each other. With flexibility the rest of the week, it’s a balance designed to help everyone do their best work and keep growing.
OUR TOTAL REWARDS PHILOSOPHY 🎉
Our Total Rewards Philosophy centers around three core areas to reward and care for our People:
- Rewarding Impact: We lead with competitive pay to reward the impact, skills and traits that fuel our success.
- Fostering Holistic Wellbeing: We care deeply about and invest in the whole person with programs that support our people’s physical, mental, and financial well-being.
- Empowering Our Talent Culture: We build a culture of trust and empowerment by designing our rewards and benefits with transparency, equity, and flexibility, enabling our people to do their best work and stay for the long haul.
OUR PROMISE TO YOU 😍
- Financial Wellness: Own a piece of Docebo through our Employee Share Purchase Plan (ESPP) at a 15% discount, plus a competitive compensation package.
- Your Well-Being, Covered: You’ll get access to health benefits, so you can get the care you need when you need it.
- Rest, Relax, Repeat: Rest and recharge with paid vacation days, two company-wide Docebo Days, floating holidays for cultural celebrations, and your birthday off!
- Family First: We provide coverage offering you time with your little one(s) so you can soak up all those precious moments. Fun fact: we had 30 Docebian babies join the family in 2025!
- Connections That Count: Connect with global communities through our Employee Resource Groups (including PRIDE, DWA, BIDOC, and Green Ambassadors) and company-wide events that keep the fun rolling all year long.
ABOUT DOCEBO 💙
At Docebo, we create seamless, AI-powered learning experiences for over 3,000 customers worldwide. We have successfully achieved two IPOs (TSX: DCBO & NASDAQ: DCBO https://www.docebo.inc/home/default.aspx), been recognized as a top SaaS e-learning solution, and are growing exponentially in the process. We're a global company, with office across North America, EMEA, APAC, and beyond. Our team is guided by five core values—Grow Together Win Together, Build with Our Customer, Clear is Kind, Own Outcomes, Progress Over Perfection—that shape everything we do. If this resonates with you, now is the perfect time to join one of the fastest-growing learning technology companies in the world.
Docebo is an Equal Employment Opportunity employer https://www.eeoc.gov/sites/default/files/2022-10/EEOC_KnowYourRights_screen_reader_10_20.pdf. We are committed to diversity and inclusion in our workforce. All qualified applicants and employees will receive consideration for employment regardless of their race, colour, religion, sex (including pregnancy, gender identity, and sexual orientation), national origin, citizenship status, age, disability, genetic information, or any other category protected under applicable law.
As a federal contractor, Docebo is committed to the principles of affirmative action and equal employment opportunity for protected veterans and individuals with disabilities. Docebo does not discriminate because of protected veteran status or on the basis of disability, and Docebo takes affirmative action to employ and advance in employment qualified protected veterans and individuals with disabilities.
Any individuals requiring a reasonable accommodation or would like to voluntarily disclose a disability or protected veteran status to assist with their employment application should send an e-mail to their recruiter directly.
Location: Remote; Japan (Remote); Slovakia (Remote); Spain (Remote); Czechia (Remote); Switzerland (Remote); Estonia (Remote); Singapore (Remote); Mexico (Remote); Portugal (Remote); USA (Remote); Israel (Remote); Kyrgyzstan (Remote); Bulgaria (Remote); Austria (Remote); Iceland (Remote); Hungary (Remote); Ireland (Remote); Canada (Remote); South Africa (Remote); Brazil (Remote); Mauritius (Remote); UK (Remote); Romania (Remote); Cyprus (Remote); Malta (Remote); Latvia (Remote); Argentina (Remote); Bosnia and Herzegovina (Remote); Poland (Remote); Uruguay (Remote)
Workplace: Remote
WHO WE ARE
Hi, we're DuckDuckGo, the online protection company and remote-first team of 400+ on a mission to raise the standard of trust online. Founded in 2008 and profitable since 2014, our annual revenue is in the hundreds of millions USD and millions use our browser on Mac https://spreadprivacy.com/introducing-duckduckgo-for-mac/, Windows https://spreadprivacy.com/windows-browser-open-beta/, iOS https://spreadprivacy.com/duckduckgo-privacy-browser-ios14/, and Android https://spreadprivacy.com/introducing-app-tracking-protection/, our search engine https://duckduckgo.com/, and the DuckDuckGo subscription https://duckduckgo.com/pro. We also offer private, useful, and optional AI, including Duck.ai https://duck.ai/, which lets you chat privately with ChatGPT, Claude, and other AIs, all in one place.
Our culture https://duckduckgo.com/how-we-work of trust, inclusivity, and empowered project management underpins everything we do, where each team member takes full ownership of their projects, from scoping and execution to postmortem. If you're seeking end-to-end ownership of your work, you've come to the right place!
YOUR TEAM AND ROLE
Working on the Web Dependability Engineering team, you'll make sure websites just work in DuckDuckGo's browsers across Mac, Windows, iOS, and Android, helping ensure our users have the best-possible experience browsing with DuckDuckGo. Recent projects include:
- Reverse-engineering how sites detect our privacy protections and building countermeasures that keep pages working
- Shimming browser APIs so sites work seamlessly across different browser engines and system webviews
- Building LLM agent pipelines that automatically reproduce and triage reported site breakage
As a Senior Web Compatibility Engineer, you'll be our resident expert on why websites break and how to fix them: owning the webcompat side of our triage process, debugging gnarly issues in code you don't control, distinguishing site bugs from browser bugs from privacy protection-induced breakage, leading the charge when a top site breaks and becomes an incident, shipping durable fixes across every platform, and work on related projects that prevent user churn and keep users coming back to DuckDuckGo.
ABOUT YOU
- 7+ years of experience building and debugging complex web applications with vanilla JavaScript.
- Detailed knowledge of web standards, web components, and browser APIs. Any additional experience with our stack is a bonus: Swift/Kotlin/C#/C++/Python.
- Advanced ability to reverse-engineer obfuscated third-party code and reduce issues to minimal test cases.
- Passion for hunting elusive bugs and tracing them to their root cause.
- Interest in automating repetitive work and building agentic tooling that multiplies the team's impact.
- Experience triaging issues, leading incident response, and communicating clearly with technical and non-technical stakeholders.
- Experience shipping code beyond the web, like native or desktop clients.
- Ability to lead complex, ambiguous projects with little to no oversight.
COMPENSATION
Compensation is transparent across the organization, and all team members within the same professional level and global region receive the same compensation, plus stock options:
- United States: $190,500 USD
- United Kingdom: £134,600 GBP
- Canada: CA$253,500 CAD
- All other regions*: €157,350 EUR
*Team members outside the US, UK and Canada are currently paid $178,500 USD. Pay converts to the EUR amount above on January 1, 2027 for Spanish team members, and approximately February 1, 2027 in all other regions.
Eligibility for company-sponsored health benefits is limited to team members based in the United States. This program does not extend to team members located in other countries, such as Canada or the UK.
Our Team Member Support Guide https://duckduckgo.com/assets/hiring/team_support_guide.pdf explains how we prioritize your wellbeing including paid parental leave, office setup, and co-working allowances.
HIRING PROCESS
Hiring works best when it's a two-way street. Learn how we help you get to know DuckDuckGo, envision your future role here, and find out more about how we hire https://duckduckgo.com/how-we-hire.
DIVERSITY, EQUITY AND INCLUSION
DuckDuckGo provides equal work opportunities to all team members and applicants, and it prohibits discrimination and harassment of any type on the basis of race, color, ethnicity, caste, religion, age, sex (including pregnancy), national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by our policies or federal, state, or local laws.
We want to ensure that our hiring process is accessible. If you need reasonable accommodation for any part of the application process because of a medical condition or disability, please send an email to careers@duckduckgo.com to let us know the nature of your request.
PLEASE NOTE THAT:
- You’ll be required to attend meetings on camera via video conferencing
- Expect to travel at least two times a year: once for our all-hands meetup and again for a team retreat (each around 4-5 days). While extenuating circumstances may impact attendance, everyone is strongly encouraged to attend.
- While we offer a flexible work arrangement with no core hours, expect an average full-time commitment of 40 hours per week.
- A successful candidate must pass a background check as a condition of joining the team.
- By applying for this role, you confirm that all information submitted is accurate and complete. You further acknowledge that providing false or fraudulent information during the application process is cause for denial of an offer, revocation of any existing offer, or other adverse action, up to and including termination after the start of your commencement of work.
DISCLOSURE STATEMENT: USE OF AI IN HIRING PROCESS
As part of our commitment to enhancing our recruitment process, we utilize artificial intelligence (AI) technology to assist in reviewing and summarizing job applications and test projects, including those tools integrated into our recruitment vendor platforms. We use AI to flag potentially fraudulent applications, analyze and summarize applicants’ experience, interviews, and project performance, and help streamline our selection process.
Key Principles:
- Data Privacy: All information provided in your application will be handled in accordance with our Recruiting Privacy Policy https://duckduckgo.com/static-assets/files/pages/careers/DuckDuckGo-Recruiting-Privacy-Policy-effective-September-30-2025.pdf. We ensure that your personal information is protected and used solely for recruitment purposes.
- Human Oversight and Accountability: The AI technology is designed to support our hiring team by providing insights and summaries of applications and evaluations of test projects against scoring rubrics. All final evaluations and hiring decisions, however, will be made by our hiring team, who will consider the AI's input alongside other factors.
- Transparency: We believe in transparency regarding our hiring practices. If you have any questions about how AI is used in our recruitment process, please feel free to reach out to us.
By submitting your application, you acknowledge and consent to the use of AI technology in our review process. If you would like to request an alternative selection process, please contact us at careers@duckduckgo.com. Thank you for your interest in joining DuckDuckGo!
#LI-DNI
Location: Remote, United States
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 about the Role
We're looking for a Senior Product Manager to own the Lead-to-Opportunity (L2O) domain within our Salesforce and GTM technology ecosystem. This role sits at the intersection of marketing operations, sales process, and technology owning the roadmap for how leads are captured, scored, routed, and converted into pipeline, and how our broader GTM tech stack supports that motion.
This is a foundational hire one of the first product managers on a team actively transforming from a reactive BSA model into a proactive, roadmap-driven product organization. You'll be both an individual contributor driving your own domain and a mentor helping BSAs grow into product manager roles. You'll have direct influence over how we shape the team's future operating model.
What You'll Do
Internal Product Roadmap Ownership
Define, own, and maintain the multi-quarter internal product roadmap for the Lead-to-Opportunity domain covering lead capture, enrichment, scoring, routing, conversion, opportunity and the broader GTM technology stack integrated with Salesforce
Translate business strategy from Marketing, Sales Development, RevOps, and GTM leadership into sequenced, prioritized system capabilities with clear outcomes and success metrics
Define the domain's strategic priorities each quarter and half, balancing net-new capability delivery, stabilization, and technical debt reduction with transparent trade-off frameworks
Drive quarterly planning ceremonies, partnering with Engineering Managers and BSAs to align capacity with roadmap commitments
Own domain-level documentation: process maps, current-vs-future state lead lifecycle flows, and decision logs that keep stakeholders and the team aligned on scope and ownership
Stakeholder Partnership & Requirements Translation
Serve as the primary product voice for all L2O and GTM Systems initiatives, partnering closely with Marketing, Marketing Operations, SDR/BDR leadership, Sales, and RevOps
Lead discovery, requirements workshops, and business process design sessions translating complex GTM and marketing operations requirements into actionable system specifications
Own the decision layer between "what the business needs" and "what engineering builds," resolving ambiguity with structured frameworks and documented decisions
Run structured stakeholder alignment sessions to surface trade-offs, build consensus, and drive open decisions to closure rather than letting them linger
Represent the domain in cross-team planning and leadership reviews able to explain technical constraints to business stakeholders and business context to engineers
Team Mentorship & Capability Building
Act as a product craft mentor and senior thought partner for the BSA team, actively upskilling analysts in product thinking, requirements structuring, acceptance criteria definition, and roadmap communication
Model and codify what "good" looks like reusable templates, rituals (backlog grooming, roadmap reviews), and a rubric BSAs can grow against
Give BSAs increasing ownership over pieces of the roadmap as they develop, with regular feedback and structured check-ins
Partner with leadership to evolve the team's operating model from project-execution-focused to product-thinking-led, raising the bar for how EntApps delivers business value
Program Strategy & Delivery Oversight
Lead initiatives end-to-end: discovery, requirements, prioritization, solution design review, UAT, launch, and post-launch measurement
Write and maintain clear user stories, acceptance criteria, and lead-flow and data-flow diagrams that engineering and admins can build against without ambiguity
Manage a healthy, well-groomed backlog intake requests from Marketing and Sales Development, triage by impact and effort, and defend prioritization decisions to stakeholders
Define success metrics per initiative (lead response time, routing accuracy, lead-to-opportunity conversion rate, data quality, SDR/BDR adoption) and report on outcomes, not just delivery
Identify and de-risk dependencies across adjacent domains campaign operations, data enrichment vendors, opportunity handoff to sales before they block delivery
Own UAT strategy and acceptance criteria in collaboration with BSAs, ensuring system changes meet business requirements before production release
Systems Architecture Collaboration
Partner with Enterprise Architects and Engineering Managers on Salesforce and MarTech integration design marketing automation platform to Salesforce sync, data enrichment pipelines, lead scoring and routing engines, ensuring choices hold up to governance, scale, and future roadmap needs
Bring informed opinions on GTM platform architecture trade-offs based on deep domain knowledge
Stay current on platform roadmaps for Salesforce Sales Cloud and connected MarTech tools, identifying opportunities to leverage native capabilities before custom builds
Maintain domain-level R&R clarity, who owns what across US/India technical managers, BSAs, and adjacent pods and update as team and scope evolve
Ability to engage deeply with engineering and architecture teams on API design, data modeling, and integration patterns.
What You'll Bring
7+ years in Salesforce product management, business systems analysis, or Marketing/Revenue Operations technology roles, with demonstrated growth into product ownership
Strong working knowledge of Lead-to-Opportunity processes; lead capture, scoring, routing, and conversion and how they connect marketing execution to sales pipeline
Hands-on familiarity with the GTM technology stack: Salesforce Sales Cloud plus marketing automation platforms (Marketo, HubSpot, or Pardot), lead scoring and routing tools, and data enrichment or intent providers
Good Understanding of quoting process
Demonstrated ability to own and communicate multi-quarter internal product roadmaps to senior business and technology stakeholders
Proven experience leading initiatives end-to-end with multiple stakeholders and competing priorities, especially across Marketing and Sales
Sufficient technical fluency to engage meaningfully with engineering on API design, data model decisions, and integration trade-offs — without needing to write code
Experience mentoring or upskilling analysts and BSAs, you enjoy developing people, not just managing tickets
Excellent written and verbal communication; able to represent technical trade-offs to non-technical executives and translate business asks into clear technical requirements
Comfortable operating in ambiguity and driving structure where none exists
Experience with AI-assisted development workflows, data governance and compliance for lead data, or prior people-management experience
About the Team
You'll be one of the first product managers on a team actively transforming from a reactive BSA function into a proactive, roadmap-driven product organization. The Lead-to-Opportunity domain sits at the top of GitLab's revenue funnel; the quality of data, routing, and conversion here affects every downstream system and every seller. Getting this right is not an IT problem; it's a revenue problem. You'll have direct influence over how we shape the team's future operating model and how the next generation of BSAs grows into product managers.
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
$104,800
—
$176,400 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: Remote; Japan (Remote); Slovakia (Remote); Spain (Remote); Czechia (Remote); Switzerland (Remote); Estonia (Remote); Singapore (Remote); Mexico (Remote); USA (Remote); Israel (Remote); Kyrgyzstan (Remote); Bulgaria (Remote); Austria (Remote); India (Remote); Iceland (Remote); Hungary (Remote); Ireland (Remote); Canada (Remote); South Africa (Remote); Brazil (Remote); Finland (Remote); UK (Remote); Romania (Remote); Cyprus (Remote); Malta (Remote); Latvia (Remote); Argentina (Remote); Poland (Remote); Uruguay (Remote)
Workplace: Remote
WHO WE ARE
Hi, we're DuckDuckGo, the online protection company and remote-first team of 400+ on a mission to raise the standard of trust online. Founded in 2008 and profitable since 2014, our annual revenue is in the hundreds of millions USD and millions use our browser on Mac https://spreadprivacy.com/introducing-duckduckgo-for-mac/, Windows https://spreadprivacy.com/windows-browser-open-beta/, iOS https://spreadprivacy.com/duckduckgo-privacy-browser-ios14/, and Android https://spreadprivacy.com/introducing-app-tracking-protection/, our search engine https://duckduckgo.com/, and the DuckDuckGo subscription https://duckduckgo.com/pro. We also offer private, useful, and optional AI, including Duck.ai https://duck.ai/, which lets you chat privately with ChatGPT, Claude, and other AIs, all in one place.
Our culture https://duckduckgo.com/how-we-work of trust, inclusivity, and empowered project management underpins everything we do, where each team member takes full ownership of their projects, from scoping and execution to postmortem. If you're seeking end-to-end ownership of your work, you've come to the right place!
YOUR TEAM AND ROLE
Working on the Privacy Functional Team, you'll lead complex projects across key company-wide objectives. You'll protect the privacy of our users using Go, Node.js, Python, and (sometimes) Perl to write pragmatic, performant, testable code, and work on related projects. Potential projects include:
- Designing systems for improving our search indexes and AI features without compromising user privacy
- Building new features on top of our Tracker Radar https://spreadprivacy.com/duckduckgo-tracker-radar/ crawler to detect emerging privacy threats
- Implementing new privacy features and maintaining existing ones, such as our Web Tracking https://duckduckgo.com/duckduckgo-help-pages/privacy/web-tracking-protections and Email https://duckduckgo.com/duckduckgo-help-pages/email-protection/privacy Protections
As a Senior Privacy Engineer, you'll own major components of our privacy technology, taking responsibility for their maintenance and improvement over time. A key part of the role will also be participation in our privacy review and audit processes, ensuring that all product developments align with our privacy principles. In time, you'll formally mentor other engineers, supporting their career growth and the growth of the Privacy Team at DuckDuckGo.
ABOUT YOU
- Ability to lead and collaborate on high-impact and complex projects from proposal through post-mortem.
- Skills to wrangle vague problems, propose innovative solutions, and execute them effectively, involving others when necessary.
- Experience working on privacy solutions in an engineering capacity (e.g. tracker blocker, differential privacy, or similar technology).
- Deep technical understanding of online privacy threats and the existing solution space to protect against them.
- Proficiency in any of the following: Go, Node.js, Python, Perl.
- Excellent communication skills. You can validate your decisions and communicate them clearly to a variety of audiences, including non-technical stakeholders.
COMPENSATION
$178,500 USD annually and stock options. Compensation is transparent across the organization, and all team members within the same professional level and global region receive the same compensation.
Eligibility for company-sponsored health benefits is limited to team members based in the United States. This program does not extend to team members located in other countries, such as Canada or the UK.
Our Team Member Support Guide https://duckduckgo.com/assets/hiring/team_support_guide.pdf explains how we prioritize your wellbeing including paid parental leave, office setup, and co-working allowances.
HIRING PROCESS
Hiring works best when it's a two-way street. Learn how we help you get to know DuckDuckGo, envision your future role here, and find out more about how we hire https://duckduckgo.com/how-we-hire.
DIVERSITY, EQUITY AND INCLUSION
DuckDuckGo provides equal work opportunities to all team members and applicants, and it prohibits discrimination and harassment of any type on the basis of race, color, ethnicity, caste, religion, age, sex (including pregnancy), national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by our policies or federal, state, or local laws.
We want to ensure that our hiring process is accessible. If you need reasonable accommodation for any part of the application process because of a medical condition or disability, please send an email to careers@duckduckgo.com to let us know the nature of your request.
PLEASE NOTE THAT:
- You’ll be required to attend meetings on camera via video conferencing
- Expect to travel at least two times a year: once for our all-hands meetup and again for a team retreat (each around 4-5 days). While extenuating circumstances may impact attendance, everyone is strongly encouraged to attend.
- While we offer a flexible work arrangement with no core hours, expect an average full-time commitment of 40 hours per week.
- A successful candidate must pass a background check as a condition of joining the team.
- By applying for this role, you confirm that all information submitted is accurate and complete. You further acknowledge that providing false or fraudulent information during the application process is cause for denial of an offer, revocation of any existing offer, or other adverse action, up to and including termination after the start of your commencement of work.
Disclosure Statement: Use of AI in Hiring Process
As part of our commitment to enhancing our recruitment process, we utilize artificial intelligence (AI) technology to assist in reviewing and summarizing job applications and test projects, including those tools integrated into our recruitment vendor platforms. We use AI to flag potentially fraudulent applications, analyze and summarize applicants’ experience, interviews, and project performance, and help streamline our selection process.
Key Principles:
- Data Privacy: All information provided in your application will be handled in accordance with our Recruiting Privacy Policy https://duckduckgo.com/static-assets/files/pages/careers/DuckDuckGo-Recruiting-Privacy-Policy-effective-September-30-2025.pdf. We ensure that your personal information is protected and used solely for recruitment purposes.
- Human Oversight and Accountability: The AI technology is designed to support our hiring team by providing insights and summaries of applications and evaluations of test projects against scoring rubrics. All final evaluations and hiring decisions, however, will be made by our hiring team, who will consider the AI's input alongside other factors.
- Transparency: We believe in transparency regarding our hiring practices. If you have any questions about how AI is used in our recruitment process, please feel free to reach out to us.
By submitting your application, you acknowledge and consent to the use of AI technology in our review process. If you would like to request an alternative selection process, please contact us as at careers@duckduckgo.com. Thank you for your interest in joining DuckDuckGo!
#LI-DNI
Location: Romania; Lisbon, Portugal; Sofia, Bulgaria; Poland
Emerging Travel Group is a global travel-tech company whose brands have been operating in over 220 source markets since 2010. We specialize in developing advanced online booking platforms for all types of clients — from individual tourists to travel agents and companies organizing business trips. Our solutions empower hoteliers to effortlessly showcase their accommodations, boosting visibility and attracting a broader audience.
Our mission is to create, distribute, and operate the most convenient travel products. We constantly innovate and break the rules of the highly complex travel industry to make travel more widely available for individuals, more rewarding for professionals, and simpler for everyone.
As an ABM Program Manager, you will play a pivotal role in driving our account-based marketing strategies, orchestrating target account campaigns, and aligning sales and marketing efforts to accelerate growth.
This is a remote vacancy.
What you'll do:
Responsibilities
Build and maintain target account and contact lists from internal CRM (HubSpot) and external sources (Apollo.io and similar); ensure data quality, deduplication and GDPR-compliant contact handling;
Set tasks and requirements for automating AI-based ICP checks and data enrichment;
Operate account scoring and route accounts into two tracks: high potential to Sales (calls, emails, LinkedIn automation), low potential to marketing automation (email sequences, external call centres, LinkedIn outreach);
Manage the workflow with regional sales teams: hand-offs, follow-up SLAs, lead quality feedback, regular syncs;
Control ABM funnel metrics from sourced account to partner activation; brief the Analytics team and verify delivery;
Produce transparent progress reports for C-level: slide decks, Gantt charts, status vs plan, risks and decisions needed.
Requirements
Relevant Experience.
3+ years in B2B marketing operations, demand generation, ABM, RevOps or sales operations;
End-to-End Execution
. At least one outbound or ABM programme run end to end, from list building to sales hand-off;
Project Management.
Proven project management across several teams, with timelines, dependencies and reporting to senior management;
Tooling & Tech Stack.
Hands-on HubSpot (or comparable CRM) and prospecting/enrichment tools: Apollo, Clay, GetSales, ZoomInfo or similar;
AI & Automation.
Practical use of AI/LLM tools for enrichment, qualification or workflow automation; able to write a precise task for technical teams (coding not required);
Funnel & Scoring Knowledge.
Understanding of account/lead scoring and the B2B sales funnel;
Data Literacy
. Reads funnel reports, spots inconsistencies, formulates clear requests to analysts;
Presentation Skills.
Strong presentation skills: executive decks and Gantt charts;
Language.
Fluent English, other languages are a plus.;
Compliance.
Basic knowledge of GDPR rules for outreach.
NOTE: ONLY CVs IN ENGLISH WILL BE CONSIDERED
Benefits
Flexible schedules and opportunity to work remotely;
Ambitious and supportive team who love what they do, appreciate each other, and grow together;
Be at the forefront of regulatory changes in the e-invoicing space;
Make a real impact on process efficiency and compliance;
Internal programs for adaptation and training, development of soft skills, and leadership abilities;
Partial compensation for participating in external training and conferences;
Corporate English school: Group and individual lessons, speaking clubs with colleagues from all over the world;
Corporate prices on hotels and travel services;
MyTime Day Off - an extra non-working day without loss of compensation.
Learn more about our data protection practices in our Privacy Policy:
https://www.emergingtravel.com/career/hr-policy/
Location: Москва
Мы ищем Data Engineer, который будет отвечать за инфраструктуру, пайплайны и качество данных для обучения современных Vision-Language Models. Роль находится на стыке data engineering и ML: нужно будет работать с большими мультимодальными датасетами, понимать потребности исследователей и ML-инженеров, строить пайплайны очистки, фильтрации, категоризации и генерации данных, а также обеспечивать воспроизводимый экспорт данных в формат для обучения моделей.
Обязанности
* Собирать и структурировать потребности ML-команды в данных: какие данные нужны для обучения, дообучения, оценки и улучшения VLM.
* Предлагать и реализовывать идеи пайплайнов очистки, фильтрации, дедупликации, категоризации и генерации данных.
* Ориентироваться в современных практиках построения датасетов для Vision-Language Models: image-text pairs, synthetic data, filtering, quality scoring, data mixture design, dataset versioning.
* Отвечать за инфраструктуру хранения и подготовки данных, включая:
*
1. импорт данных из различных источников: production, Common Crawl, open-source datasets, generated data;
2. валидацию и контроль качества данных;
3. хранение и версионирование датасетов;
4. экспорт данных в форматы, пригодные для обучения моделей.
* Проектировать и реализовывать пайплайны обработки данных на большом масштабе, включая десятки миллиардов изображений.
* Разрабатывать пайплайны генерации синтетических данных для обучения и улучшения VLM.
* Собирать статистику по данным, строить отчёты и визуализации для анализа состава, качества и покрытия датасетов.
* Обеспечивать воспроизводимость, наблюдаемость и надёжность data-процессов.
* Работать в тесной связке с ML-инженерами, исследователями и инфраструктурной командой.
Требования
* Сильный опыт в data engineering и построении production-grade data pipelines.
* Уверенное владение Python, включая multiprocessing, multithreading и async-подходы.
* Опыт работы с большими объёмами данных и распределённой обработкой.
* Практический опыт с объектными хранилищами, в частности S3 или аналогами.
* Опыт работы с YTsaurus или похожими системами для распределённого хранения и обработки данных.
* Понимание принципов валидации, очистки, дедупликации и версионирования датасетов.
* Опыт работы с DVC, Git, Docker.
* Опыт работы с PostgreSQL или другими реляционными базами данных.
* Умение проектировать устойчивые пайплайны: от импорта данных до финального экспорта в training-ready формат.
* Способность самостоятельно разбираться в нечетко сформулированных задачах и доводить их до работающего решения.
* Готовность работать на стыке engineering и ML research.
Будет плюсом
------------
* Опыт работы с мультимодальными данными: изображения, текст, image-text pairs, captions, OCR, metadata.
* Понимание того, как устроены современные датасеты для обучения VLM / LMM / multimodal models.
* Опыт построения пайплайнов для synthetic data generation.
* Опыт реализации quality scoring, filtering, semantic deduplication, clustering или data attribution.
* Опыт визуализации статистики по большим датасетам и построения внутренних аналитических дашбордов.
* Опыт работы с Common Crawl, LAION-подобными датасетами, open-source vision-language datasets.
* Базовое понимание ML training pipeline и того, как качество данных влияет на качество модели.
Условия
* крупнейшее DS&AI community — более 600 DS-специалистов банка
* дайджест о самых последних разработках в области DS&AI и отчеты с крупнейших конференций мира
* возможность быть соавтором НИРов и статей для международных конференций
* возможность выбрать удобный формат работы: гибрид или офис
* ежегодный пересмотр зарплаты, годовая премия
* корпоративный спортзал и зоны отдыха
* более 400 образовательных программ СберУниверситета для профессионального и карьерного развития
* расширенный ДМС, льготное страхование для семьи и корпоративная пенсионная программа
* ипотека выгоднее до 7% для каждого сотрудника
* бесплатная подписка СберПрайм+, скидки на продукты компаний-партнеров
* вознаграждение за рекомендацию друзей в команду Сбера.
Мы развиваем международную продуктовую платформу в сфере CS2 и ищем руководителя клиентского сервиса, который возьмёт на себя управление командой поддержки и построит масштабируемую систему работы с пользователями.
Сейчас клиентский сервис — одна из ключевых точек роста продукта. Нам нужен не администратор текущих процессов, а сильный операционный руководитель, способный выстроить функцию практически с нуля: внедрить SLA, стандарты качества, аналитику, автоматизацию, обучение команды и понятную систему взаимодействия с другими подразделениями.
Главная цель роли: Превратить службу поддержки из реактивной команды, обрабатывающей обращения, в системную функцию клиентского сервиса, которая:
— быстро и качественно решает проблемы пользователей;
— повышает доверие к платформе;
— снижает отток клиентов;
— помогает возвращать пользователей в продукт;
— выявляет системные проблемы и передаёт их продуктовой команде;
— автоматизирует большую часть типовых обращений;
— работает на основании прозрачных метрик и SLA.
Основные задачи:
— Управлять командой клиентского сервиса численностью около 11 человек.
— Провести аудит процессов, нагрузки, структуры обращений и эффективности сотрудников.
— Разработать и внедрить SLA по типам и приоритетам обращений.
— Выстроить многоуровневую модель поддержки: база знаний и автоматизация → L1 → L2 → профильный отдел.
— Определить правила эскалации сложных, финансовых и конфликтных кейсов.
— Создать регламенты, инструкции, шаблоны ответов и единую базу знаний.
— Сформировать Tone of Voice и стандарты коммуникации с пользователями.
— Внедрить систему контроля качества диалогов и регулярного QA.
— Настроить обучение, аттестацию и развитие сотрудников.
— Создать прозрачную систему метрик и отчётности по работе поддержки.
— Внедрять AI-инструменты, чат-ботов и сценарии самообслуживания.
— Автоматизировать типовые обращения по платежам, промокодам, трейдам, статусам предметов и другим повторяющимся вопросам.
— Выстроить систему Voice of Customer: собирать причины обращений, жалобы и предложения пользователей, превращая их в задачи для продукта.
— Обеспечить взаимодействие поддержки с Product, Development, Payments, CRM, Marketing и другими подразделениями.
— Управлять инцидентами и массовыми обращениями пользователей.
— Планировать необходимую численность команды, смены и нагрузку.
— Сформировать систему мотивации сотрудников, связанную не только со скоростью, но и с качеством решения проблем.
Цели на первые 30 дней:
— Провести полный аудит клиентского сервиса.
— Зафиксировать текущие показатели и определить базовую точку по SLA, FRT, FCR, CSAT, QA, повторным обращениям и нагрузке.
— Классифицировать основные причины обращений пользователей.
— Выявить критические разрывы в клиентском пути.
— Описать зоны ответственности и правила эскалации.
— Подготовить план трансформации клиентского сервиса на 90–180 дней.
Цели на первые 60 дней:
— Внедрить базовые SLA и приоритеты обращений.
— Запустить регламенты обработки ключевых типов запросов.
— Сформировать и внедрить Tone of Voice.
— Запустить базу знаний и единые шаблоны ответов.
— Внедрить QA-карту и регулярную оценку качества диалогов.
— Настроить управленческий дашборд по ключевым метрикам.
— Организовать регулярное обучение и обратную связь для команды.
— Запустить понятный процесс взаимодействия поддержки с другими отделами.
Цели на первые 90 дней:
— Обеспечить выполнение SLA не менее чем по 85% обращений.
— Довести FCR — долю вопросов, решённых за одно обращение, — минимум до 70%.
— Снизить долю повторно открытых обращений до 10% и ниже.
— Довести внутреннюю оценку качества диалогов до 85–90%.
— Запустить автоматизацию наиболее частых типов обращений.
— Сформировать регулярный Voice of Customer-отчёт для руководства и продуктовой команды.
— Снизить количество зависших и незакрытых обращений.
— Создать прозрачную систему оценки эффективности каждого сотрудника.
Цели на 6–12 месяцев:
— Целевые значения должны быть подтверждены после фиксации текущей базы, но ожидаемые ориентиры следующие: выполнение SLA — 90% и выше;
— CSAT — 85% и выше;
— FCR — 70–80%;
— QA Score — 90% и выше;
— доля повторных обращений — не более 10%;
— автоматизация 50–70% типовых обращений;
— снижение ручной нагрузки на команду на 40–60%;
— снижение стоимости обработки одного обращения минимум на 30%;
— сокращение критических жалоб и эскалаций;
— измеримое снижение оттока пользователей после обращений в поддержку;
— формирование стабильного потока продуктовых улучшений на основании обращений клиентов.
Ключевые показатели роли:
— First Response Time.
— Average Resolution Time.
— SLA Compliance.
— First Contact Resolution.
— CSAT.
— QA Score.
— Reopen Rate.
— Backlog и количество незакрытых обращений.
— Количество обращений на одного активного пользователя.
— Доля автоматизированных обращений.
— Cost per Contact.
— Retention пользователей после обращения.
— Количество выявленных и устранённых системных причин обращений.
Наши ожидания от кандидата:
— Опыт управления клиентским сервисом или поддержкой от трёх лет.
— Опыт управления командой от 10 человек.
— Практический опыт построения или серьёзной перестройки службы поддержки.
— Понимание SLA, FCR, CSAT, QA, WFM и других операционных метрик.
— Опыт создания регламентов, базы знаний и системы контроля качества.
— Умение работать с аналитикой, находить причины проблем и принимать решения на основании данных.
— Опыт внедрения автоматизации, чат-ботов или AI-инструментов.
— Умение работать со сложными, конфликтными и финансовыми обращениями.
— Сильные навыки управления командой: найм, адаптация, обучение, мотивация и performance management.
— Способность взаимодействовать с продуктом и разработкой и добиваться устранения первопричин обращений.
— Умение одновременно повышать качество сервиса и контролировать его экономическую эффективность.
Будет преимуществом опыт в gaming, iGaming, fintech, crypto, marketplace, e-commerce или другом высоконагруженном B2C-продукте.
Какого человека мы ищем:
Нам нужен системный и самостоятельный руководитель, который умеет не только управлять людьми, но и строить процессы.
Человек, способный погрузиться в реальные обращения пользователей, найти корневые проблемы, сформировать целевую модель и довести изменения до измеримого результата.
У руководителя будет необходимый уровень полномочий для изменения процессов, внедрения инструментов и взаимодействия с другими подразделениями.
Location: New York City, New York, United States
About Nebius:
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
About the Tavily at Nebius
In a rapidly evolving world, trust in AI depends on AI agents being grounded in fresh, verified real-world data. Search is the foundation that makes this possible.
Tavily provides the search and intelligence layer that powers AI agents and retrieval systems with trustworthy, real-time information. We work with some of the most innovative teams in AI, from fast-growing startups to global enterprises, helping them build agents that are not only intelligent but informed.
About the Role
We're looking for a senior, full-stack analyst / data scientist to own Product and PLG analytics end-to-end. You'll own the metrics behind our self-serve motion (signup, activation, usage, conversion, expansion and retention)
and find the drivers behind them
. You'll work directly with our CEO and leadership as a thought partner on product and growth decisions.
This role is fully independent. When a question comes up, you take it all the way: from building the pipeline, model the data, train and deploy the model, analyze the results and come back with a clear recommendation. Nothing waits in a queue for someone else. You'll also work closely with the other analysts on the team, share methods and standards, and collaborate across Product, Engineering, Growth, Marketing and GTM.
What You'll Do
• Own Product and PLG analytics end-to-end: define, instrument and measure the self-serve funnel, from first API call through activation, conversion to paid, expansion and churn.
• Uncover the drivers behind top-level KPIs: which behaviors, use cases and product experiences predict activation, retention and monetization.
• Build what you need: data pipelines and models (SQL, dbt, Python, orchestration) that turn raw product, usage and billing data into trusted, reusable datasets.
• Build and ship predictive models (conversion propensity, churn risk, usage forecasting, lead and account scoring) and bring their outputs into product and GTM workflows.
• Design, run and evaluate experiments (A/B tests, pricing and packaging tests, onboarding changes) and apply causal inference where you can't run a clean experiment.
• Proactively monitor key business and product metrics, investigate trends and anomalies, and surface insights stakeholders can act on.
• Partner directly with the CEO and leadership on strategic questions, including pricing, growth levers, product bets and market opportunities, and turn ambiguous questions into clear analysis and decisions.
• Set the standard for how we measure product success: metric definitions, a shared source of truth and analytical rigor across teams.
What We're Looking For (Must-Haves)
• 5+ years of experience as a Product / Growth Analyst, Data Scientist or equivalent.
• 2+ years in a SaaS company, with deep understanding of funnels, cohorts, activation, retention, monetization and PLG dynamics.
• A strong statistical foundation.
• A proven record of working end-to-end on your own, from data engineering through modeling to a delivered recommendation.
• Strong hands-on experience using Python for data analysis, experimentation, machine learning and data modeling in a production environment.
• Comfort working with large, messy, event-level datasets.
• Hands-on experience building, validating and deploying predictive models (e.g., classification, forecasting, segmentation) that were used to make real business decisions.
• Demonstrated ability to influence business strategy through data and drive alignment across cross-functional stakeholders, including executive leadership.
• Strong communication: you can turn complex analysis into a clear, compelling story and a concrete recommendation.
• Experience with modern data tooling (Snowflake/BigQuery, dbt, Airflow, and BI tools like Omni/Looker/Tableau).
• BSc in Statistics / Math / CS or equivalent.
Nice to Have
• Experience at an API-first, developer-focused or PLG company.
• Experience with product analytics platforms (PostHog, Amplitude, Mixpanel).
• Experience with pricing and packaging analysis or usage-based billing models.
• Familiarity with LLMs / AI tooling, and using AI agents to speed up your own analytical work.
• Evidence that you build things on your own: a GitHub profile, portfolio, side projects or publications.
• MSc / PhD in Statistics / Math / CS or equivalent.
Pay Transparency
We offer competitive compensation and benefits packages. Actual compensation will be determined based on job-related factors, including experience, skills, qualifications, the level at which the candidate is hired, and geographic location, consistent with applicable law.
Base Compensation Range
$179,000
—
$224,000 USD
Benefits & Perks:
Competitive compensation
Career growth and learning opportunities
Flexibility and ownership
Collaborative and innovative culture
Opportunity to work on impactful AI projects
International environment and talented teams
What's it like to work at Nebius:
Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
Equal Opportunity Statement:
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.
If you need accommodations during the application process, please let us know.
Location: Atlanta, GA (Hybrid)
The Position
CallRail is looking for a
Demand Generation Marketing Manager for our Agency vertical. You will be responsible for crafting and executing multi-channel campaigns to engage buyers at every stage of their journey, and tracking and reporting on the success of these campaigns. You will generate inbound free trials that turn into customers, while ensuring we leverage best and scalable practices to achieve great results. You will work closely with sales, content, product marketing, web marketing, marketing operations, and your peers on the demand generation team to produce high impact campaigns that acquire, engage, nurture, and convert leads.
A successful candidate should have proven experience in building and executing measurable and successful demand generation programs and campaigns in a B2B SaaS environment, and is comfortable with high-volume, high-velocity sales processes. We are looking for a self-starter who can both design a strategic demand generation plan and then execute with precision. The ideal candidate is an ever-curious marketer who embraces the art and science of demand generation and is driven by results.
What You'll Do
Design and execute full-funnel multi-channel marketing programs to generate quality free trials that results in new customers in our Agnecy vertical
Manage and report on the marketing and sales funnel for all programs, including volume at every stage, conversion rates between stages, and velocity from inquiry to sold
Build and manage a calendar for demand generation programs
Ensure marketing tactics are used in an integrated manner -- channels include email, webinars, live and virtual events, social media, review sites, influencers, digital marketing, gift marketing, chat
Consistently identify and test new channels specific to your target audience
Obtain a deep understanding of target markets and buyers in order to engage the right people in the best possible way to achieve results
Partner with Content Marketing, SEO, PR and social teams to ensure strategic and topical alignment across content creation, offers, and demand plans
Represent demand generation plans to a wide range of stakeholders, including sales teams and executives
Actively solicit inputs from key stakeholders regarding demand generation campaign plan requirements and performance
Align with overall company branding and awareness strategies
What You'll Need
Bachelor’s Degree required
Proven B2B SaaS Experience: Demonstrated success in building and executing measurable, high-impact demand generation programs, ideally within a high-volume, self-serve, or Product-Led Growth (PLG) model
Experience creating marketing programs to drive demand within marketing agencies
Demonstrated results in improving volume, conversion, and velocity through the marketing and sales funnel
Deep understanding and experience with lead generation, nurture tactics, buyer personas and lead scoring, and other key B2B marketing principles
Experience with marketing automation tools (Marketo preferred), customer relationship management tools (Salesforce preferred), and data visualization tools (Looker Studio preferred)
Experience with managing third-party relationships with publications or agencies
Excellent writing skills; ability to write and edit marketing copy
Strategy, project management, budget management, and financial skills
Strong interpersonal skills; ability to influence others with and without formal authority, and build partnerships within the organization
Obsessed with metrics - monitor results of campaigns, reporting, and optimizing for new and better campaigns
If you do not meet all the requirements listed, we still encourage you to apply! No job description is perfect, and we may also have another opportunity that aligns with your skills and experience.
Additional Perks
Healthcare (one option covered at 100% for employees), Dental & Vision Coverage
Competitive HSA with company matching
Paid parental leave
Flexible vacation policy
401K options with company dollar-for-dollar match
Employee stock options available from day one
$2,000 annual educational allowance
Catered lunch every Tuesday * an in-office perk
MARTA transportation or office parking expenses covered
Employee charitable donation company match, up to $500 annually
Regular company outings and events
Hybrid work options with $500 office stipend to set up your home office
Designated bike storage
Learn more:
https://www.callrail.com/about/
You Are Welcome Here
CallRail understands that valuing diverse creative practices and forms of knowledge are crucial to and enrich the company's core mission. We encourage applications from everyone, including members of all equity-seeking communities, such as (but certainly not limited to) women, radicalized and Indigenous persons, persons with disabilities, and persons of all sexual orientations and gender identities and expressions. In your application, please feel free to note which pronouns you use (For example - she/her/hers, he/him/his, they/them/theirs, etc).
Continuous adoption of AI technologies is essential to this role. You will be expected to leverage AI platforms to streamline operations, solve complex problems, and stay ahead of industry benchmarks.
*** This position is based out of our Atlanta office. Through December 2026, employees are expected to work in the office on Tuesdays and Thursdays.
Beginning in January 2027, CallRail will transition to a 3 day hybrid work model. Employees will work in the office on Mondays, Tuesdays, and Thursdays.
Location: Athens, Greece
Are you a
Senior AI/ML Lead role,
looking for your next challenge? Then join our dynamic team at
EUROPEAN DYNAMICS
for a challenging international career.
What You'll Do:
Lead the design and development of ML models;
Drive feature engineering, model experimentation, and evaluation;
Shape the technical vision and architecture of a brand-new AI initiative;
Collaborate with data engineers and business domain experts to shape the PoC and final product;
Build explainable AI outputs suitable for the business domain operations;
Produce early prototypes and guide technical decision-making;
Lay the foundations for scaling of an AI/ML team.
Requirements
Mandatory
University degree in IT or equivalent;
5+ years in applied machine learning (anomaly detection, fraud, risk scoring, predictive analytics);
Strong Python, ML frameworks, and hands-on data skills;
Experience owning end-to-end ML lifecycle (data → model → prototype);
Ability to work in a small, fast-moving, exploratory environment;
Excellent communication and problem-solving skills;
Fluent in English (additional EU languages are a plus).
Optional
Experience in supply chain, customs, taxation, risk management, financial crime, or similar domains;
Experience with simple UI prototyping.
Benefits
We believe in rewarding talent and dedication. Here's what you can expect as part of our team:
Competitive full-time salary;
Flexibility for a hybrid collaboration model;
Private Health Coverage on the Company’s group program;
Flexible Working Hours;
Top-of-the-Line Tools;
Work with rich, complex, high-impact datasets across security, trade, and compliance;
Enjoy genuine ownership, autonomy, and the freedom to innovate;
Grow with the team as we scale from PoC to production across Europe.
If you want an exciting challenge, work with some of the coolest technologies, and enjoy your time doing it, then join us! Submit your detailed CV in English, quoting reference: (
SAIMLL/11/26
).
You may also consider all our other open vacancies by visiting the career section of our website (
www.eurodyn.com
) and follow us on Twitter (@EURODYN_Careers) and LinkedIn.
EUROPEAN DYNAMICS (ED)
(
www.eurodyn.com
) is a leading European Software, Information, and Communication Technologies company, operating internationally (Athens, Brussels, Luxembourg, Copenhagen, Berlin, Stockholm, London, Nicosia, Valetta, Vienna, Den Haag, Hong Kong, etc.) The company employs over 1100 engineers, IT experts, and consultants (around 3% PhD, 41% MSc, and 54% BSc). We design and develop software applications using integrated, state-of-the-art technology. Our current IT projects have a value exceeding 300 million EURO. EUROPEAN DYNAMICS is a renowned supplier of IT services to European Union Institutions, international organizations, European Agencies, and national government Administrations in 40 countries and 4 continents.
As part of our dedication to the diversity of our workforce, we are committed to Equal Employment Opportunity without regard for race, colour, national origin, ethnicity, gender, disability, sexual orientation, gender identity, or religion.
EUROPEAN DYNAMICS (ED)
adheres to the General Data Protection Regulation principles by applying its Privacy Policy as published at
www.eurodyn.com/privacy
. By submitting an application to this position and by sharing your personal data with ED, you acknowledge and accept its Policy and authorize ED to process your personal data for the purposes of the company's recruitment opportunities, in line with the Policy.
Location: Brussels, Belgium
We currently have a vacancy for an
Full-stack Developer (Java, Angular)
fluent in English, to offer his/her services as an expert will be based in Brussels, Belgium. The work will be carried out either in the company’s premises or on site at customer premises. In the context of the first assignment, the successful candidate will be integrated in the team of the company that will closely cooperate with a major client’s IT team on site.
Your Tasks:
Contribute to the redesign, and redevelop: a backend service providing APIs for the front-end and integration with other IT systems, APIs related to data upload/data download of data files, APIs to retrieve and manipulate data exposed by other API services;
Maintain a middleware layer assuring the connection between the front-end and a PaaS software (including authentication / authorization);
Contribute to the evolution of the architecture in collaboration of various experts (front-end, database management, data engineering, business intelligence, etc.);
Produce technical documentation;
Contribute to some front-end developments when necessary;
Help with the upgrade and deployment of an off-the-shelf software used for data processing and risk scoring;
Interact with business analysts, front-end developers, devsecops engineers, project leaders and other developers.
Requirements
Bachelor’s degree in IT or relevant discipline, combined with minimum 17 years;
Experience of 5 years as a full-stack developer;
Experience of 2 years with Java in the context of back-end development;
Experience of 2 years with relational databases (data modelling in the context of operational systems, performance optimisation, query building);
Experience of 1 year with front-end development (ideally with Angular);
Very good knowledge of the JAVA programming language in the context of web application backend development;
Very good knowledge of relational databases;
Very good knowledge of application security;
Good knowledge of development in the cloud (public, hybrid, or private);
Good knowledge of software development tools / CI/CD pipelines (e.g. Gitlab, Maven, Gradle, Postman, SonarQube, etc.);
Good knowledge of software development lifecycle;
Knowledge of XML and XSD;
Knowledge of data modelling for analytical applications would be an asset;
Knowledge of Scala would be an asset;
Excellent command of the English language and basic knowledge of French language.
Benefits
If you are seeking a career in an exciting, dynamic and multicultural international environment with exciting opportunities that will boost your career, please send us your detailed CV in English, quoting reference
(19951/11/2026).
We offer a competitive remuneration (either on contract basis or remuneration with full benefits package), based on qualifications and experience. All applications will be treated as confidential.
You may also consider all our other open vacancies by visiting the career section of our web site (
www.eurodyn.com)
and follow us on Twitter (@EURODYN_Careers) and LinkedIn.
EUROPEAN DYNAMICS
(
www.eurodyn.com)
is a leading European Software, Information and Communication Technologies company, operating internationally (Athens, Brussels, Luxembourg, Copenhagen, Berlin, Stockholm, London, Nicosia, Valetta, Vienna, Den Haag, Hong Kong, etc.) The company employs over 1000 engineers, IT experts and consultants (around 3% PhD, 36% MSc and 53% BSc). We design and develop software applications using integrated, state-of-the-art technology. Our current IT projects have a value exceeding 300 million EURO. EUROPEAN DYNAMICS is a renowned supplier of IT services to European Union Institutions, international organizations, European Agencies and national government Administrations in 40 countries and 4 continents.
As part of our dedication to the diversity of our workforce, we are committed to Equal Employment Opportunity without regard for race, colour, age, national origin, ethnicity, gender, disability, sexual orientation, gender identity or religion.
EUROPEAN DYNAMICS (ED)
adheres to the General Data Protection Regulation principles by applying its Privacy Policy as published in
www.eurodyn.com/privacy.
By submitting an application to this position and by sharing your personal data with ED, you acknowledge and accept its Policy and authorise ED to process your personal data for the purposes of the company's recruitment opportunities, in line to the Policy.
Location: Barcelona, Spain
Workplace: hybrid
About seQura
seQura provides innovative, flexible and easy-to-use payment technologies that help merchants acquire, convert and retain more customers.
We make a difference sales performance by tailoring our solutions to different sectors, to address their unique pain points and deliver superior results in Retail, Education, Eyewear, Repairs and Travel.
We also empower smart shopping to consumers who seek more value, convenience, and flexibility in their shopping, with new payment experiences that allow them to save, access interest-free credit, or pay in small, comfortable installments of up to 24 months.
Born in Barcelona, seQura is a privately-owned fintech, currently expanding throughout southern Europe and Latin America, growing above 50% CAGR and approaching 100 Million in Annual Recurring Revenue.
Over 5000 businesses, almost 2 million shoppers, and almost 400 employees continue to rate us as one of the most loved and trusted fintechs out there, with an NPS of 87%, a Trustpilot rating of 4.7/5, and a Glassdoor rating of 4.7/5.
About the role 🤓
We’re looking for a
Fraud Optimization Specialist
to strengthen the performance of our detection systems. You will analyze fraud patterns, enhance controls, guide new product launches, and partner with Product, Data, and Operations to design scalable, tech-enabled solutions.
This is a hands-on, impact-oriented role for someone who thrives at the intersection of analytics, risk strategy, and cross-functional execution. Your insights will help us reduce losses, accelerate safe growth, and continuously upgrade our fraud ecosystem.
What challenges you'll be solving
🚀
Identify opportunities to reduce fraud losses on different streams and improve overall profitability, leveraging advanced risk rules and Machine Learning scores.
Assess fraud risks for new features, launches, and markets, advising Product and Operations, identify control gaps, and define remediation plans.
Develop and maintain executive dashboards (Metabase/Tableau) to track fraud performance, financial exposure, and other metrics; provide concise fraud insights, trends, and recommendations to leadership.
Support and implement end-to-end fraud prevention strategies—design controls, execute rollouts, measure impact, and iterate for continuous improvement.
Collaborate with stakeholders like Product, Engineering, Data Science to propose innovative and preventive fraud controls, translating complex fraud risk scenarios into scalable, tech-driven solutions.
What we offer
😎
We have a strong and sustainable foundation, where we provide a secure and reliable workplace. You have the freedom and trust to make the best contribution possible.
One of our most valued strengths by our employees is our fellowship and supportive culture, which fosters a sense of belonging by working closely with our values. With us, you will have challenging projects to work on and push your skills and knowledge.
In addition, we are very proud of the unique office we have, which offers a comfortable and inspiring environment to work in with everything you need.
23 vacation days + 2 days of free disposal per year.
Professional development workshops or seminars.
Flexible compensation plan for transportation, restaurants, and kindergarten with Cobee.
Health insurance discounts with Sanitas and Adeslas.
Urban mobility by using your own bike with Kleta.
Free access to healthy, organic, and sustainable fruits and snacks.
Moreover, we offer a
Wellness Program
that embraces a holistic approach by covering 6 areas (occupational, physical, financial, emotional, social, and environmental consciousness). Each area will include various activities, and you'll be able to choose from 34 different activities that best meet your needs to configure a plan that best works for you.
What you’ll need
🫱🏼🫲🏽
5+ years of experience working with fraud detection technologies within fintech, payments, BNPL, or e-commerce, from rule creation to performance optimization.
Proficiency in SQL and data visualization skills (Metabase, Looker, Tableau, Power BI, etc.), with ability to build dashboards, automate monitoring, and interpret large data sets.
A proven track record of delivering fraud risk assessments, gap remediation, and fraud prevention strategies
Excellent communication and collaboration skills, with ability to influence cross-functional stakeholders, across product, operations, and compliance.
We kindly ask that you submit your
CV in English
, as it is the official language of our community.
We promote equal opportunity to all, regardless of age, color, gender identity, medical condition, physical or mental disability, race, religion, sexual orientation, or any other characteristic. We have an inclusive environment, and respect is above all.
Do you want to be part of the change? Join us!👇
Location: Almaty, Kazakhstan
Workplace: OnSite
WHY WORK AT HIGGSFIELD AI?
Higgsfield AI is the fastest-scaling generative AI company in history, hitting $1B in annual revenue run rate, 30M+ users worldwide, 6M+ generations per day, and powering 390 of Fortune 500 brands.
We're building at the absolute frontier of AI-powered video creation and next-generation creative tools. Joining Higgsfield means becoming part of a high-impact team shaping the future of AI-native experiences, at a company that isn't just moving fast, but rewriting what fast looks like.
WHAT THIS ROLE MEANS AT HIGGSFIELD
Generative video has a problem most subscription businesses don't: every unit we sell costs us real compute. A stolen password costs a streaming service nothing. An account farm on an unlimited generation plan costs us GPU-seconds, at scale, every hour it runs.
We have found organised operators running hundreds of accounts on a single card, reselling unlimited generations, and harvesting per-account promotional grants at industrial scale. We have also found that most of our negative-margin accounts are not abuse at all — they are ordinary heavy users on an unlimited plan, which is a pricing problem wearing a fraud costume. Telling those two populations apart, at account level, before the money is gone, is this job.
You own the question of who is taking value they did not pay for, and the system that stops them.
You make sure:
- We catch abuse before the compute is burned, not in a post-mortem that reconciles the loss
- Every enforcement action has a measured precision, a measured cost of being wrong, and a way back for the customer we got wrong
- The difference between fraud and unprofitable pricing is a number we can defend, not a vibe
- When operators adapt — and they will, within days — we find out from a monitor, not from the monthly margin review
WHAT YOU WILL DO
Detection & scoring
- Own the account-abuse scoring system end to end: signals, weights, thresholds, the scoring job, the monitoring, and the recalibration when it decays.
- Build detection that fires early. A rule that catches 88% of the money on day 11 is worth far less than one that catches 60% at checkout, and you should be able to say why in dollars.
- Work the two halves that actually matter together: linkage (who is connected to whom) and economics (what are they consuming). Either one alone produces a system nobody can switch on — linkage without economics flags families sharing a card, economics without linkage flags our best customers.
- Treat cost as a gate, not a label. On an unlimited plan, being gross-margin negative is normal.
Entity resolution & ring detection
- Find rings, not just accounts: shared payment instruments, IP and ASN concentration, email-stem families, synchronised registration bursts, behavioural fingerprints, automation signatures.
- Do it without a reliable device fingerprint — we do not have one today, and part of this job is telling us what it would be worth and what it would cost.
- Know where graph methods break. Transitive closure through a shared card will happily merge thousands of unrelated people into one "ring"; we have done exactly that and thrown the result away.
Enforcement, policy & the cost of being wrong
- Design graduated, reversible actions — throttle, rate-limit, step-up verification, hold, pre-grant refusal, manual review queue, ban — and match the severity to the confidence.
- Own the false-positive budget explicitly: how many paying customers are we willing to inconvenience to save a dollar of compute, and what is the appeal path for the ones we get wrong.
- Build the pre-grant gates. The cheapest abuse to stop is the kind we decline to enable in the first place — a trial we do not grant costs nothing to claw back.
- Partner with Payments on Stripe Radar, chargebacks and dispute economics; with Support on the queue your model creates; with Legal on what our Terms actually entitle us to do.
Measurement & adversarial monitoring
- Quantify what the system is worth in money — COGS avoided, net of the revenue you destroyed and the support cost you created. Keep that number current.
- Run holdouts even on enforcement, wherever it is legal and safe to do so, because otherwise you will never know what your rules are worth.
- Monitor for adaptation, not just drift. Model decay here is caused by an adversary, and it looks different: a signal stops firing, a ring changes shape, a cohort's behaviour shifts inside a week.
- Watch your own inputs. A detection system that silently loses a feature degrades to a system that cannot reach its own threshold — and reports nothing wrong while doing it.
Making it usable
- Ship scores and reasons, never scores alone. An analyst, a support agent or an auditor must be able to read why an account was actioned.
- Produce evidence that survives outside the company. Our abuse work has already been used in an external audit and in Terms-of-Use enforcement; write for that standard.
- Work in SQL, Python and BigQuery on raw event, payment and generation data. We use AI heavily — resourcefulness beats syntax.
WHO WE'RE LOOKING FOR
- Experience building abuse, fraud or trust-and-safety detection that actually took action on real users — payments fraud, promo abuse, multi-accounting, bonus abuse, account takeover, marketplace or gaming abuse. Anti-money-laundering and credit-risk backgrounds transfer if the modelling was yours.
- Genuine understanding of the adversarial setting: that your counterparty responds, that your training labels are generated by your own past decisions, and that offline AUC on a censored label set is close to meaningless.
- Strong SQL and Python on raw event data without help: joins across payments, usage and identity, window functions, cohort replay. Gradient boosting, and the judgment to know when a two-condition rule beats a model.
- Comfort with graph and linkage thinking — connected components, shared-attribute clustering, and an instinct for when a link is evidence and when it is coincidence.
- Precision-first evaluation instincts: precision at the operating point, cost-weighted error, and why you would take 20% recall at 90% precision over the reverse in an enforcement system.
- Unit-economics literacy: gross margin per account, what compute actually costs us, why a negative-margin customer may be entirely legitimate.
- The judgment to escalate rather than act when the evidence is thin, and to say so in writing.
- Clear written and spoken English, B2+.
Backgrounds that often do well:
- Fraud / risk data scientists from fintech, payments, marketplaces, gaming or crypto
- Trust & safety and platform-integrity teams who owned detection and enforcement policy
- Growth or product data scientists who ended up owning promo-abuse because nobody else would
- Analysts from payment processors, PSPs or chargeback/dispute operations who moved into modelling
WHAT THIS ROLE IS NOT
This role is not a fit if you:
- Want to build content-moderation or NSFW classification — that is a different function here
- Would ship a ban list without knowing its precision
- Optimize AUC on a label set your own enforcement created, and call it validated
- Need a labelled fraud dataset to exist before you can start
- Treat every negative-margin account as an abuser
- Are uncomfortable that being right 90% of the time means being wrong about real, paying, legitimate people — and that you own what happens to them
- Want predictable 9–5 workdays
HIRING PROCESS
- Screening call (30 min)
- Hiring-manager screen (30 min)
- Business case (1 hour)
- Take-home with real-shaped data (7 days, ~10–12 hours of work)
- Team interview (60 min)
- Paid on-site trial (1 month)
THE DEAL
- Competitive salary in USD
- Equity: participation in the company's stock option program
- On-site role in Almaty, Kazakhstan
- Relocation support (flight + temporary housing)
- Flat structure, high autonomy, fast career growth
ОБЗОР ПОЗИЦИИ И ПРОДУКТА:
Мы строим Customer Intelligence & Personalization Platform для экосистемы бизнесов в Армении на основе Golden Record (единый профиль клиента).
Вам предстоит спроектировать слой между сырыми данными core banking системы и витринами платформы.
Главный вызов — реверс-инжиниринг слабо документированного источника, восстановление бизнес-смысла данных и создание осознанной модели для Customer 360, сегментации и скоринга.
Мы используем AI-native подход и ожидаем того же от кандидата (применение AI для разбора legacy, написания SQL и документации).
Задачи:
• Исследовать core banking систему, legacy- и внешние источники, восстанавливать их семантику;
• Идти от целевой витрины к источнику: определять таблицы и логику сбора атрибутов;
• Разделять случаи, когда одинаковые данные получены разными путями, фиксировать правила выбора;
• Описывать модель данных и метаданные (сущности, связи, grain, ключи, историчность);
• Формировать требования к витринам для сегментации, scoring и рекомендаций;
• Писать SQL-исследования, прототипы трансформаций и проверять гипотезы;
• Выяснять смысл данных напрямую у сотрудников банка.
Требования:
• Сильный SQL (оконные функции, сложные join-цепочки, анализ качества и распределений);
• Опыт реверс-инжиниринга плохо документированных источников;
• Опыт работы с банковскими / fintech-данными (Core banking, ArmSoft, legacy системы) и построения Customer 360;
• Понимание data modelling (сущности, grain, ключи, историчность, master entities);
• Уверенное владение Python на уровне исследования данных;
• Владение Git, Linux, опыт работы в закрытых Dev/UAT-контурах;
• Использование AI-инструментов для анализа схем и написания кода;
• Проактивность и самостоятельность в доведении задач от «сырья» до целевой витрины (отлично подойдет бэкграунд дата-инженера с опытом работы с сырыми источниками).
Будет плюсом:
• Знание армянского языка;
• Методологии матчинга и дедупликации;
• Опыт с Data Vault 2.0, DBT (или аналоги);
• Понимание PII, маскирования, RBAC;
• Опыт работы в регулируемом on-premise контуре;
• Экспертиза в ML, ML Ops.
Условия:
• Взаимодействие по договору ИП;
• Гибридный формат работы в Армении (готовность работать из офиса банка до 3 раз в неделю).
Location: New York, United States
Who We Are
At OKX, we believe the future will be reshaped by crypto and blockchain technology. We operate a leading global crypto platform and build products and services designed to expand access to the digital-asset ecosystem.
Across our global organization, we value ownership, sound judgment, collaboration, innovation, and the ability to operate effectively in a fast-moving and continuously evolving environment.
Recruiting should insert the current approved
OKX
corporate “Who We Are” language when the position is posted.
About the Team
The
Fraud
Investigations Team (FIT)
is a First Line of Defense function within OKX’s
Risk organization
responsible for identifying, assessing, investigating, and helping manage significant internal and external fraud risks affecting the company, its customers, personnel, and operations.
FIT conducts and supports complex investigations involving digital assets, internal and external fraud, employee misconduct, insider threats, unauthorized access or misuse of information, vendor and third-party misconduct, account compromise, social engineering, collusion, conflicts of interest, and other significant fraud-related matters.
The team works closely with Legal, HR, Information Security,Engineering, Physical Security, Compliance, Finance, Operations, and other functions across OKX.
About the Opportunity
We are looking for an experienced
Senior Analyst, Blockchain Investigations &
Fraud
Intelligence
to join FIT.
This is first and foremost a
blockchain investigations role
requiring significant hands-on expertise tracing digital assets across complex blockchain ecosystems. The successful candidate must be capable of independently conducting sophisticated on-chain investigations, developing and testing attribution hypotheses, identifying relationships among wallets and entities, following assets through multiple chains and protocols, and translating highly technical blockchain activity into clear investigative findings.
Blockchain analysis is a specialized investigative discipline. Accordingly, we are seeking someone who understands not only how to operate commercial tracing platforms, but also the
underlying blockchain architecture, transactional mechanics,
attribution
methodologies, clustering techniques, tracing limitations, and evidentiary considerations
necessary to reach reliable conclusions.
The role extends beyond on-chain analysis. The Senior Analyst will combine blockchain intelligence with enterprise data, system logs, transactional records, open-source information, and other evidence to support complex fraud and insider-risk investigations.
The position will also provide analytical support to the Global Physical Security Team (PST) on selected protective-intelligence and threat-assessment matters.
The Senior Analyst will directly manage
one Analyst
and will be expected to serve as a subject-matter resource for blockchain investigations and analytical methodology across FIT.
What You’ll Be Doing
Blockchain Investigations & Digital-Asset Intelligence
Lead and conduct complex
blockchain investigations and transaction tracing
across multiple wallets, counterparties, entities, blockchains, tokens, protocols, and digital-asset ecosystems.
Trace the
origin, movement, conversion, layering, consolidation, and ultimate disposition of digital assets
, including activity spanning multiple intermediaries and blockchain environments.
Conduct investigations using tools such as
Chainalysis
Reactor
, TRM Labs, Elliptic, or comparable blockchain intelligence platforms
, while understanding the methodologies and limitations underlying platform-generated attribution.
Analyze activity involving
centralized exchanges, self-hosted wallets, decentralized exchanges, cross-chain bridges, mixers, privacy-enhancing technologies,
DeFi
protocols, smart contracts, stablecoins, NFTs, OTC activity, gambling platforms, and other relevant ecosystems
.
Trace assets across
multiple chains and cross-chain transactions
, identifying continuity of funds where technically supportable and clearly documenting assumptions or limitations where definitive attribution is not possible.
Analyze transaction graphs, address relationships, behavioral patterns, clusters, counterparties, timing, amounts, transaction sequencing, and other relevant blockchain indicators.
Understand and appropriately apply
wallet-clustering and
attribution
methodologies
, including the limitations and potential for false attribution associated with particular heuristics.
Independently evaluate blockchain intelligence rather than relying solely on automated labels, risk scores, or vendor-generated attribution.
Corroborate on-chain findings, where appropriate, with
internal account records,
KYC
/
KYB
information, transaction data, access information, open-source intelligence, legal-process returns, or other available evidence
.
Identify relationships among blockchain addresses, OKX accounts, external counterparties, individuals, organizations, vendors, affiliates, and other relevant entities.
Reconstruct complex transaction flows and create clear
fund-flow diagrams, transaction maps, timelines, and visualizations
that allow investigators and nontechnical stakeholders to understand the movement of assets.
Analyze blockchain activity associated with suspected
fraud
, theft, account takeover, social engineering, insider activity, collusion, payment diversion, asset misappropriation, or other misconduct
.
Identify new wallets, counterparties, entities, or transactional patterns that may generate additional investigative leads.
Clearly document the methodology, assumptions, confidence level, and limitations associated with blockchain findings.
Distinguish between
confirmed
attribution
, vendor attribution, analytical inference, behavioral similarity, and an unverified investigative hypothesis
.
Avoid presenting blockchain proximity, exposure, clustering, or a commercial risk score alone as proof of ownership, control, intent, or misconduct.
Maintain current knowledge of emerging
blockchain technologies, protocols, tracing methodologies, obfuscation techniques,
fraud
typologies, and developments affecting blockchain
attribution
or investigations
.
Fraud
Investigations & Investigative Intelligence
Conduct and support investigations involving
internal and external
fraud
, employee misconduct, insider threats, vendor and third-party misconduct, collusion, conflicts of interest, asset misappropriation, unauthorized access, credential misuse, and other significant fraud risks
.
Combine blockchain findings with off-chain evidence to develop a
comprehensive investigative picture rather than treating blockchain activity in isolation
.
Develop investigative hypotheses and objectively test those hypotheses against available evidence, including information that supports, contradicts, or fails to establish the hypothesis.
Conduct
timeline reconstruction, link analysis, relationship mapping, pattern analysis, clustering, and comparative analysis
across individuals, accounts, wallets, devices, systems, transactions, and entities.
Support investigations involving
account takeover, impersonation, social engineering, business-email compromise, payment diversion, affiliate misconduct, and trusted-party abuse
, particularly where a digital-asset, employee, vendor, or enterprise nexus exists.
Analyze vendor, affiliate, partner, and other third-party activity for indicators of billing irregularities, undisclosed relationships, conflicts of interest, unusual payments, control circumvention, or other potential misconduct.
Support investigative interviews by developing transaction timelines, identifying inconsistencies or information gaps, organizing evidence, and identifying appropriate areas for follow-up.
Enterprise Data & Insider-Risk Analytics
Analyze appropriately authorized information including
system and access logs, authentication records, audit trails, customer-account activity,
KYC
/
KYB
information, transaction records, payment information, case-management records, vendor information, and relevant security telemetry
.
Correlate blockchain activity with enterprise data to identify possible connections among
wallets, accounts, employees, customers, vendors, devices, transactions, and other relevant entities
.
Support investigations involving suspected unauthorized access, information misuse or exfiltration, credential compromise, control circumvention, unauthorized disclosure, or abuse of privileged access.
Identify anomalous behavior or access patterns that may warrant additional investigation.
Develop repeatable analytical methodologies capable of processing and correlating information from disparate systems.
Use appropriate scripting, database querying, data visualization, and analytical technologies to efficiently analyze large or complex datasets.
Investigative Reporting & Evidence
Prepare clear, concise, and well-supported
blockchain investigation reports, investigative memoranda, executive summaries, transaction-flow diagrams, link charts, timelines, and other analytical products
.
Explain complex blockchain concepts and transaction activity in plain language suitable for
investigators, senior management, Legal, regulators, or
law enforcement
, as appropriate.
Clearly distinguish among
allegations, investigative leads, known facts, third-party
attribution
, analytical judgments, assumptions, information gaps, and substantiated conclusions
.
Ensure analytical conclusions are proportionate to the evidence and do not imply greater certainty than the underlying blockchain or other data supports.
Maintain sufficient documentation to allow significant blockchain findings to be
reviewed, reproduced, and understood by another qualified analyst
.
Preserve and handle investigative records in accordance with applicable
evidence-preservation, chain-of-custody, confidentiality, privacy, access-control, and need-to-know requirements
.
Support appropriately authorized law-enforcement, regulatory, litigation, or legal matters in coordination with the appropriate company functions.
Protective Intelligence & Physical Security Support
Provide analytical support to PST on selected matters involving threats or concerning activity directed toward employees, executives, offices, events, or other company interests.
Conduct authorized open-source, link, timeline, blockchain, financial, or other analytical research where relevant to understanding the identity, relationships, capabilities, or activity associated with a potential threat.
Assist in evaluating available information relating to
credibility, corroboration, intent, capability, access or opportunity, targeting, escalation, timing, and other relevant indicators
.
Prepare objective analytical products identifying known facts, analytical judgments, material information gaps, uncertainties, and appropriate confidence levels.
Support PST’s assessment while preserving
PST’s responsibility for protective-security decisions and operational response
.
Leadership & Development
Directly manage and develop one Junior Analyst, including
work allocation, coaching, technical development, quality assurance, and review of analytical work product
.
Serve as a FIT
subject-matter resource for blockchain investigations and on-chain analytical methodology
.
Review blockchain analysis for technical accuracy, appropriate methodology, corroboration, reasonable attribution, and evidentiary support.
Train and mentor junior personnel in transaction tracing, blockchain intelligence platforms, analytical reasoning, documentation, and investigative methodology.
Help establish consistent standards for
blockchain investigations,
attribution
, documentation, quality assurance, and reporting
.
Participate in time-sensitive investigations affecting a global organization, including occasional work outside normal business hours when required.
What We Look For In You
7+ years of relevant investigative or analytical experience
, with meaningful professional experience specifically conducting
cryptocurrency or blockchain investigations
.
Demonstrated hands-on expertise independently conducting
complex blockchain tracing investigations
, rather than solely reviewing blockchain alerts or commercial risk scores.
Advanced proficiency with one or more blockchain intelligence platforms such as
Chainalysis
Reactor
, TRM Labs, Elliptic, or comparable technology
.
Strong understanding of how blockchain intelligence platforms derive attribution, clustering, exposure, and risk information—and the
limitations associated with those methodologies
.
Demonstrated understanding of blockchain fundamentals, including
wallets and addresses, transactions, UTXO and account-based models, tokens, smart contracts, block explorers, transaction fees, confirmations, and blockchain-specific transactional structures
.
Strong understanding of digital-asset ecosystems including
centralized exchanges, self-hosted wallets,
DeFi
, DEXs, stablecoins, cross-chain bridges, mixers, privacy-enhancing mechanisms, and other relevant technologies
.
Demonstrated ability to trace assets across
multiple chains, protocols, and intermediaries
and recognize when technical limitations prevent definitive continuity or attribution.
Experience conducting
transaction-graph analysis, wallet
attribution
, clustering, counterparty analysis, transaction-flow reconstruction, and investigative link analysis
.
Ability to critically assess blockchain attribution and distinguish among
technical facts, commercial vendor intelligence, analytical inference, and unsupported assumptions
.
Experience integrating blockchain intelligence with
off-chain evidence and enterprise information
to develop investigative conclusions.
Strong knowledge of fraud-investigation principles including corroboration, source evaluation, evidence preservation, timeline development, hypothesis testing, and documentation.
Experience analyzing large or complex datasets and familiarity with tools such as
SQL
, advanced Excel, Python, Splunk, or comparable data-analysis technologies
.
Ability to clearly explain technically complex blockchain findings to audiences that may have little or no blockchain expertise.
Strong investigative writing skills and demonstrated ability to produce accurate, concise, and defensible analytical products.
Sound judgment and ability to work effectively where evidence is incomplete, conflicting, or evolving.
Demonstrated discretion when handling sensitive employee, customer, investigative, security, or company information.
Demonstrated experience mentoring, supervising, or reviewing the work of junior analysts or investigators.
Nice to Haves
Experience conducting blockchain investigations within a
cryptocurrency exchange, blockchain analytics company, law-enforcement agency, regulatory organization, financial institution, intelligence function, or investigative consulting environment
.
Experience investigating digital-asset matters involving
fraud
proceeds, theft, account compromise, insider activity, social engineering, asset tracing, or complex cross-chain movement
.
Experience supporting
asset recovery, law-enforcement referrals, subpoenas/legal process, civil litigation, regulatory inquiries, or other matters requiring defensible blockchain analysis
.
Experience investigating insider threats, employee misconduct, unauthorized access, data exfiltration, credential compromise, vendor fraud, conflicts of interest, or trusted-party abuse.
Experience with
OSINT, digital forensics, enterprise logs, security telemetry, or identity and access-management information
.
Experience creating custom blockchain analytics through
APIs,
SQL
, Python, blockchain explorers, node data, or other raw-data sources
, rather than relying exclusively on commercial graphical interfaces.
Relevant blockchain-specific training or certifications, including certifications associated with
Chainalysis
, TRM Labs, or comparable blockchain-analysis platforms
.
Professional certifications such as
CFE, CFCS, CAMS, GIAC, or comparable investigative,
fraud
, financial-crime, cybersecurity, or intelligence credentials
.
What Success Looks Like
Success in this role requires significantly more than knowing how to enter an address into a blockchain analytics platform.
The successful candidate should be able to receive a complex transaction, wallet, allegation, or investigative question and independently determine
how to trace the activity, which chains and protocols are involved, what the available data establishes, what additional information is needed, what
attribution
can reasonably be made, and where the technical or evidentiary limitations prevent a definitive conclusion
.
The individual should be able to move seamlessly between
on-chain and off-chain evidence
, recognizing that a blockchain transaction may establish movement of assets without necessarily establishing the identity, knowledge, intent, or conduct of the person behind a wallet.
They should also be capable of converting a highly technical blockchain investigation into a concise and defensible explanation that an investigator, attorney, executive, regulator, or law-enforcement partner can understand and act upon.
At the same time, this person must be sufficiently versatile to apply the same investigative discipline to
internal
fraud
, insider risk, enterprise data, third-party misconduct, and protective-intelligence matters
when required.
The hierarchy is much clearer this way:
blockchain investigations are the specialized core competency;
fraud
/investigative intelligence is the broader mission; enterprise analytics and PST support are complementary capabilities.
That should materially improve the candidate pool versus a title that makes blockchain expertise appear interchangeable with general data analytics.
OKX Statement:
OKX is committed to equal employment opportunities regardless of race, color, genetic information, creed, religion, sex, sexual orientation, gender identity, lawful alien status, national origin, age, marital status, and non-job related physical or mental disability, or protected veteran status. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
The salary range for this position is $143,000 - $214,000
The salary offered depends on a variety of factors, including job-related knowledge, skills, experience, and market location. In addition to the salary, a performance bonus and long-term incentives may be provided as part of the compensation package, as well as a full range of medical, financial, and/or other benefits, dependent on the position offered. Applicants should apply via OKX internal or external careers site.
Notice:
All official
OKX
vacancies are published on this website.
While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated.
If in doubt, please apply directly through our official careers website.
Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to
OKX
's
Candidate Privacy Notice
.
Location: 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 go-to-market engine runs on Salesforce: how leads become pipeline, how deals are tracked and forecast, how customers renew and expand, and how partners work alongside our sellers. As a Business Systems Analyst, you'll be responsible for how one of those core motions is represented in system, and a trusted partner to GTM leadership when they want to change how it works.
We're looking for someone who operates at the intersection of three things: a strategist who can sit with GTM leaders and shape how they want to understand their part of the business, an analyst who can turn that into rigorous process and data design, and a builder who's comfortable enough in Salesforce to ship meaningful parts of it themselves. You can move fluidly between whiteboard, requirements doc, and admin console. You'll partner deeply with RevOps on the operating model and with our Salesforce developers on anything that needs code.
Where you might sit
We're hiring across several parts of the customer lifecycle. Placement depends on your background and where you can have the most impact.
Opportunity Acceleration:
Owns how deals are tracked, forecast, and credited in Salesforce, from stage design and forecasting to the ownership and team structures behind them. You'll partner with sales leadership to make pipeline something everyone can trust and sellers can work quickly.
Lead-to-Pipeline:
Owns how leads, inbound demand, and BDR outreach become qualified pipeline: lifecycle stages, routing and ownership, handoff rules, and the tools BDRs and sellers work in every day. You'll partner with BDR, marketing, and sales leadership to make the path from first touch to open opportunity faster and easier to measure.
Post-Sales:
Owns the systems behind renewals, expansion, and customer coverage: how post-sale opportunities are created, forecast, and worked by account management and customer success. You'll give post-sales leaders a clear, trustworthy view of the customer base and the tools to act on it.
Partnerships:
Owns how partner-sourced and co-sell deals are registered, attributed, and worked alongside our sellers, including the partner-facing processes and reporting leadership relies on. You'll help turn a fast-growing channel into a motion the business can measure and scale.
Key responsibilities
Own the design of your core funnel domain in Salesforce: lifecycle stages, process, exit and handoff criteria, key fields, and the automation and guardrails that keep the data trustworthy
Partner with GTM leadership on how their motion runs and how they want to see it, and make the tradeoff calls on what teams enter versus what insight that data unlocks
Partner with RevOps to systematize how GTM teams are structured, assigned, and credited: ownership, routing, coverage, splits, and the territory and role structures those depend on
Operationalize the methodology in system, turning frameworks and process discipline into fields, validation, scoring, and in-context guidance that people actually use
Act as data-model steward for your domain and its closest neighbors: the named approver for new fields, automation, and integrations touching those objects, and the keeper of why each one exists
Build and ship declarative solutions yourself where that's the right call, and write specs clean enough that our developers can build the rest without five rounds of clarification
Own the seams to the neighboring stages of the customer lifecycle (lead handoff, opportunity, quote-to-cash, renewal, partner attribution) so the experience is coherent end to end even where the build sits with another team
Evaluate and configure tooling that accelerates the motion: routing, activity capture, sequencing, deal inspection, account planning
Run discovery, UAT, enablement, and adoption measurement for everything you ship; help raise the bar for how BSA work is done on this team
Minimum qualifications
Experience in GTM/Revenue systems as a Business Systems Analyst, Sales Systems Lead, or RevOps Systems role, with real ownership of work in a core funnel domain such as lead management, opportunity and pipeline, renewals and account management, or partner channel
Experience designing and rolling out a lifecycle, process model, or forecasting motion at a fast-growing company, owning it from discovery through enablement and adoption
Credibility with GTM stakeholders: you've been in the pipeline review, forecast call, or planning session, and you can push back when there's a better answer
Hands-on Salesforce skills, with comfort building meaningful parts of your own solution (Flow, validation, assignment and routing, page and Path design) and specs that make the handoff to developers clean
Crisp communication across GTM teams, leadership, RevOps, and engineers, adjusting altitude for each
Preferred qualifications
5+ years of experience in GTM/Revenue systems roles
Salesforce Administrator certification
Advanced Administrator, Business Analyst, or Sales Cloud Consultant certification
Experience partnering with RevOps or Sales Strategy on team-structure questions (ownership, routing, splits, territory) and turning those decisions into working system design
Experience across more than one part of the customer lifecycle, such as lead, opportunity, renewal, or partner
Curiosity about AI-assisted systems work and eagerness to fold it into how you design, build, and document; prior hands-on use is a strong plus
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:
$270,000
—
$315,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: London, England
Our Global Structure
Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we’re unlocking new possibilities as one global team.
Your job is to make sure every payout and transaction lands with the right person.
We have spent years getting very good at protecting the things a marketplace has always had to protect: checkout fraud, account takeover, courier abuse. But we are no longer only a marketplace. We now issue banking products, lend to merchants, move instant payouts to couriers, and collect cash on the doorstep. Every one of those is a new way for money to leave the platform.
This is a new team, and it owns that surface: fraud wherever money moves through the platform. Who receives it, who lends it, who collects it, and who holds it in a financial account. Think instant payout rails, merchant cash advances, and platform-issued banking and earned-wage products serving millions of couriers and merchants. These are live loss surfaces, and the volume grows with every financial product we launch.
We are now looking for a
Backend Engineer (Golang)
to build that protection. You will design and ship real-time detection and automated enforcement for our financial products across DoorDash, Wolt, and Deliveroo. The work is high-throughput, low-latency, and unusually consequential: a rule you ship on Monday can stop a serious loss by Friday. It is also close to greenfield, so you will be setting the patterns every future financial product inherits on day one.
This role will be based in
London
,
UK
as one of the founding engineering roles in our London hub, working closely with our teams in Helsinki and Berlin.
What you'll do:
Build and maintain high-throughput, low-latency backend services in Go that score financial events in real time, including payout enrollments, bank account links, credit applications, and account-to-account transfers.
Design fraud detection and automated enforcement for our financial products end to end: from signal collection through to the decision that blocks a fraudulent payout.
Build on and extend our shared fraud decisioning platform, so signals, rules, and models work across all three of our brands instead of being rebuilt three times.
Partner closely with risk analysts, data scientists, and product managers to turn observed fraud patterns into shipped detection, and to know when a rule, a model, or a product change is the right answer.
Work across team boundaries with our account security, payments fraud, and financial product teams. We build on their signals rather than rebuild them, so clean interfaces matter.
Contribute to architectural discussions and technical decisions as we establish the fraud infrastructure baseline for financial products, with support from senior engineers on the team.
Write well-tested, observable code and help the team hold a high quality bar. In fraud, a silent failure is a loss event.
Our expectations:
3 to 6 years of professional software engineering experience, including backend services you have shipped and owned in production.
1+ years of production experience in Golang, or strong experience in another backend language and real enthusiasm for picking Go up quickly.
A working understanding of low-latency, high-throughput distributed systems. Real-time decisioning comes with a latency budget, and you are keen to learn to build inside one.
Hands-on experience with SQL and/or NoSQL databases, and some exposure to event-driven architectures (Kafka or similar).
Willingness to operate what you build, including a share of on-call, with a pragmatic approach to reliability.
Uses AI tooling in day-to-day development and can critically evaluate its output for correctness and quality.
Nice to have
Experience in fraud, risk, payments, lending, or financial crime, especially money movement fraud, bank account linking fraud, payout abuse, or lending fraud.
Experience with rules engines, real-time feature stores, or ML model serving in a decisioning path.
Background in Kotlin, Java, Python, or Node.js alongside Go.
Familiarity with cloud infrastructure (AWS, GCP).
Experience working across multiple brands, regions, or regulatory regimes.
What we value
A product-oriented mindset. You think beyond the ticket, understand the "why" behind the work, and take a high level of responsibility for outcomes rather than output.
Comfort with ambiguity. This is a new team on a new surface; parts of the charter are still being drawn, and you will help draw them.
A track record of owning a project or feature end to end, especially in fast-paced environments.
Clear and proactive communication, with a collaborative spirit. We work across three companies and several time zones, so we move fast, but we succeed together.
An adversarial instinct. The best fraud engineers enjoy thinking like the attacker.
Diversity, Equity and Inclusion
At Deliveroo, we know that a great workplace reflects the world around us and that true diversity and inclusion make us stronger, more creative, and better at what we do. We’re committed to fostering an environment where everyone can do their best work and feel they belong.
We believe in equality of opportunity and welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion, or belief.
If you have a disability or long-term health condition and need support to apply for one of our roles, or require any reasonable adjustments during the recruitment process, you’ll have the opportunity to let us know once you’ve submitted your application. We’ll share details on how to request support so we can ensure you have a fair and equitable experience.
If you’re excited about making a real impact in a fast-moving marketplace and growing your career alongside ambitious, supportive teams, we’d love to hear from you!
Beware of recruitment scams: DASH Brands will never ask you to pay money or share sensitive financial information during hiring — learn more about DASH Brands' legitimate recruiting process at
careersatdoordash.com/recruitment-scam-awareness
.
ГибридToronto, Ontario
УдалённоseniorRemote; Japan (Remote); Slovakia (Remote); Spain (Remote); Czechia (Remote); Switzerland (Remote); Estonia (Remote); Singapore (Remote); Mexico (Remote); Portugal (Remote); USA (Remote); Israel (Remote); Kyrgyzstan (Remote); Bulgaria (Remote); Austria (Remote); Iceland (Remote); Hungary (Remote); Ireland (Remote); Canada (Remote); South Africa (Remote); Brazil (Remote); Mauritius (Remote); UK (Remote); Romania (Remote); Cyprus (Remote); Malta (Remote); Latvia (Remote); Argentina (Remote); Bosnia and Herzegovina (Remote); Poland (Remote); Uruguay (Remote)
Не хотите искать каждый день?
Настройте подбор один раз, и подходящие вакансии будут сами приходить в Telegram.
Настройте подбор, и подходящие вакансии будут приходить в Telegram.
УдалённоseniorRemote, United States; The base salary range for this role’s listed level is currently for residents of the United States only
УдалённоseniorRemote; Japan (Remote); Slovakia (Remote); Spain (Remote); Czechia (Remote); Switzerland (Remote); Estonia (Remote); Singapore (Remote); Mexico (Remote); USA (Remote); Israel (Remote); Kyrgyzstan (Remote); Bulgaria (Remote); Austria (Remote); India (Remote); Iceland (Remote); Hungary (Remote); Ireland (Remote); Canada (Remote); South Africa (Remote); Brazil (Remote); Finland (Remote); UK (Remote); Romania (Remote); Cyprus (Remote); Malta (Remote); Latvia (Remote); Argentina (Remote); Poland (Remote); Uruguay (Remote)
seniorNew York City, New York, United States; We work with some of the most innovative teams in AI, from fast-growing startups to global enterprises, helping them build agents that are not only intelligent but informed
Atlanta, GA (Hybrid)
leadAthens, Greece
Brussels, Belgium
ГибридBarcelona, Spain
ОфисAlmaty, Kazakhstan; Relocation support (flight + temporary housing)
seniorNew York, United States
San Francisco, CA | New York City, NY
London, England; We work across three companies and several time zones, so we move fast, but we succeed together; We believe in equality of opportunity and welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion, or belief
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