Location: New York, NY; Pittsburgh, PA
Our mission at Duolingo is to develop the best education in the world and make it universally available. It’s a big mission, and that’s where you come in!
At Duolingo, you’ll join a team that cares about finding
innovative solutions to complex technical problems
, running countless experiments (300+ at a time!) with our massive user base to make data-driven decisions, and educating our users and employees alike. You’ll have limitless learning opportunities, mentorship and collaboration with world-class minds, and a variety of projects with large scopes — while doing work that’s both fun and meaningful.
Join our life-changing mission to develop education for our half a billion (and growing!) learners around the world.
About the role...
We are looking for an experienced AI Research Engineer to join our Duolingo Monetization team. The ideal candidate will have a proven track record as an AI research engineer, with extensive experience across various machine learning techniques including large language models, multi-armed bandits, and more. They will have experience at all levels of the ML stack, including feature engineering, developing training data, fine-tuning, reinforcement learning, quality evaluations, deployment, and monitoring. On the Monetization team, we’re building AI systems to improve the learning experience while driving our business, including deploying our research into
bandit models
to balance revenue and retention. Given the broad set of AI domains, broad experience in AI/ML is highly desirable.
🧠 You will...
Join a full-stack team of frontend, backend, and other AI Research engineers, fostering a collaborative and innovative work environment.
Contribute to the development and training of bandit models and large-scale neural network models.
Collaborate with cross-functional teams to understand their needs, to align the models’ outputs with company objectives.
Participate in and help drive strategic product and business decision-making as a member of the Monetization leadership group.
Stay up-to-date with the latest developments in machine learning, particularly in LLMs and bandits, and apply this knowledge to drive advancements in our projects.
Mentor team members, providing guidance and support in their professional development.
Ensure the delivery of high-quality, scalable, and efficient machine learning solutions.
✅ You have...
Proven experience as an AI research engineer, for example, in LLMs, bandits, computer vision, or related fields.
Strong background in training and fine-tuning large models in an applied setting.
Advanced degree in Computer Science, Engineering, or a related field with a focus on machine learning or artificial intelligence, or equivalent experience.
Excellent leadership and communication skills, with the ability to manage and inspire a team.
Deep understanding of machine learning concepts, frameworks, and best practices.
The offered salary is dependent upon several factors, including work experience, skills, and internal peer comparisons. The posted range is subject to change in the future. For this role, base salary is supplemented by equity compensation. We encourage you to talk with your recruiter for more information related to compensation for this role!
Salary Range:
$220,800
—
$331,200 USD
Benefits:
Take a peek at how we care for our employees' holistic well-being with our benefits
here
.
Job Alerts:
Sign up for job alerts
here
.
Accommodations:
We will do everything we can within reason to make sure that your interview takes place in an environment that fairly and accurately assesses your skills. If you need assistance or accommodation, please contact
accommodations@duolingo.com
.
Equal Employment Opportunity:
Duolingo is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
Fraud Warning:
Unfortunately, there is a rise in scammers pretending to be real Duolingo employees. Duolingo and our employees will never ask for your Social Security number, bank details, or passport info, and we’ll never ask you to deposit a check, purchase equipment, or exchange money during the interview process. Real Duolingo employees always use an email that ends in @duolingo.com or @recruiting.duolingo.com. Stay alert and double-check these details before sharing any information.
By applying for this position your data will be processed as per the
Duolingo Applicant Privacy Notice
.
Location: Remote
About Nebius:
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
The role
Nebius is building one of the world's leading AI infrastructure and cloud platforms. We are looking for a Pricing & Monetization Lead to define how Nebius monetizes its infrastructure, products, and capacity.
This role owns the company's pricing strategy, monetization frameworks, discount governance, and pricing decision-making. Working at the intersection of Strategy, Finance, Infrastructure, Product, and Sales, you will ensure that pricing decisions support long-term growth, capacity utilization, and profitability objectives.
You will partner closely with Unit Economics, Market Intelligence & Packaging, Deal Desk, and Finance teams to build a scalable pricing system capable of supporting rapid growth and increasingly complex commercial decisions.
Your responsibilities will include:
Pricing Strategy & Frameworks
• Own company-wide pricing strategy across GPU infrastructure, Cloud products, Token Factory and all future offerings.
• Define and maintain list pricing, pricing tiers, commitment pricing structures, and regional pricing approaches.
• Ensure pricing frameworks remain aligned with business strategy, capacity availability, profitability targets and SOX procedures.
Monetization & Unit Economics Translation
• Translate unit economics and margin objectives into commercial pricing decisions.
• Partner with Unit Economics team to define pricing floors, establish target margin ranges, and evaluate profitability by SKU, region, and customer segment.
• Balance revenue growth, margin performance, and capacity utilization.
• Support monetization decisions for new products, infrastructure, and commercial models.
Discount Governance & Commercial Policy
• Own Nebius discount framework and approval logic.
• Define discount matrixes, pricing guardrails, approval thresholds, and escalation criteria.
• Ensure consistent application of pricing rules across all commercial teams.
Pricing Performance Management
• Monitor realized pricing, discount trends, margin realization, and pricing compliance.
• Identify pricing leakage and monetization opportunities.
• Lead regular pricing review forums with stakeholders.
We expect you to have:
• 7–12 years in Pricing, Monetization, Revenue Strategy, Commercial Finance, or Corporate Strategy.
• Experience in Cloud Infrastructure, AI Infrastructure, SaaS, Telecom, or Marketplace businesses.
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: Hybrid - Sydney
About Vercel:
Vercel is the agentic infrastructure company, freeing people and agents to ship what's next. For more than a decade we've helped builders move from idea to production with speed, security, and exceptional developer experience.
Now we're scaling our products for both agents and people to ship and run software, built in the open and trusted by OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide.
About the role
Vercel's Enterprise sales team is built on people who are technically fluent, commercially sharp, and deeply curious about the companies they work with. As a Majors Install Base AE covering the ANZ market, you will own a curated book of named enterprise accounts and be the primary driver of net-revenue retention, expansion, and long-term platform depth. This is not a maintenance role — you will be expected to identify whitespace, accelerate adoption of Vercel's newest products, and drive meaningful growth across a portfolio of some of the most digitally ambitious companies in the region.
You will work alongside Solutions Engineers, Customer Success, and cross-functional Vercel stakeholders to build strategic account plans rooted in customer outcomes — and to establish Vercel as an indispensable infrastructure partner embedded in your accounts' roadmaps for web and AI transformation.
What you'll do
Own a book of named Major Accounts, driving renewals, upsells, and cross-sells to grow account value and ensure strong net revenue retention
Identify and execute expansion opportunities across your portfolio — mapping whitespace, uncovering new teams or use cases, and activating Vercel's newest products (including platform API, AI SDK, and observability tooling)
Build and maintain multi-threaded relationships with key stakeholders and champions across engineering, product, procurement, and the C-suite
Develop and execute strategic account plans aligned with each customer's business goals and Vercel's growth objectives, with hyperscalers, SIs, and agency partners embedded in the strategy from day one
Translate Vercel's platform into board-level narratives around developer velocity, infrastructure consolidation, and AI-driven transformation as measurable operational levers
Own complex commercial negotiations — renewals, ELA amendments, consumption-based expansions — and position Vercel as a long-term strategic partner
Partner with Solutions Engineering, Customer Success, and Product to deliver customer outcomes and surface feedback that shapes the product roadmap
What you need
5–10+ years in enterprise SaaS with a demonstrated track record of success in install base, account management, or named account roles
Proven ability to drive expansion — you understand how to identify whitespace, build champions across multiple buying centres, and accelerate upsell and cross-sell motions in complex accounts
Experienced in partner-influenced or co-sell motions — you know how to activate a hyperscaler or SI relationship to deepen account penetration, not just open doors
Comfortable discussing architecture with a CTO and total cost of ownership with a CFO — you can flex between technical product conversations and high-level business ROI narratives
A disciplined account planner who thinks in years, sequences accounts for maximum long-term revenue, and builds executive relationships with intention
Fluent in MEDDPICC and rigorous about forecast hygiene and CRM discipline
Able to hold credible, technically grounded conversations with senior engineering and product leadership without leaning on a solutions engineer as a crutch
A value seller who leads with customer pain and business outcomes, not feature lists
Bonus if you
Have a background in web development, developer tooling, web infrastructure, cloud platforms, or AI/ML
Come with existing relationships at AWS, GCP, or Azure — or with major SI/agency partners active in the ANZ market
Have experience navigating ELAs, consumption-based commercial models, or enterprise procurement in regulated industries
Have sold into or managed accounts in media, retail, financial services, or digital-native companies — verticals where Vercel has strong traction in the ANZ market
Understand PLG-influenced sales motions — how developer adoption at the team level translates into enterprise expansion
Benefits & Compensation:
Competitive compensation package, including equity
Inclusive Healthcare Package
Learn and Grow — we provide mentorship and send you to events that help you build your network and skills
Flexible Time Off
We will provide you the gear you need to do your role, and a WFH budget for you to outfit your space as needed
The Australia based pay range for this role is 388,000 - 524,000 AUD OTE. Actual salary will be based on job-related skills, experience, and location. The total compensation package may include benefits, equity-based compensation, and eligibility for a company bonus or variable pay program depending on the role. Your recruiter can share more details during the hiring process.
Disclosures:
Privacy:
Please review our
Job Applicant Privacy Policy
for more information on how we handle your data.
Equal Opportunity:
Vercel is committed to fostering and empowering an inclusive community within our organization. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law. Vercel encourages everyone to apply for our available positions, even if they don't necessarily check every box on the job description.
Location: Amsterdam, Netherlands; Remote - Europe
About Nebius:
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
The Role
We are looking for a Technical Program Manager to own the operational readiness and ongoing health of our fleet of Data Centers, both COLO and BTS sites. In this role you will be the single point of accountability for ensuring each site runs as expected — SLAs met, maintenance executed on schedule, and audits passed — across a growing portfolio of landlord-operated and purpose-built facilities. You will operate as the primary interface between Nebius and our data center landlords and operators, and you will partner closely with the Nebius IT team to translate site-level operations into reliable infrastructure for our customers.
This is an individual contributor position for someone who is equally comfortable in a contractual SLA review, a maintenance window planning call, and a physical site audit. You will define the mechanisms that keep our sites accountable and surface risk before it becomes an incident.
Key job responsibilities
Own the operational health of Nebius COLO and BTS sites, ensuring each facility runs to expectation across power, cooling, space, connectivity, security, and environmental controls.
Track, monitor, and enforce SLA compliance across landlords and colocation providers; identify breaches, drive remediation, and hold providers accountable to contractual commitments.
Manage and coordinate site maintenance schedules — preventive and corrective — including planning and approving maintenance windows, reviewing Methods of Procedure (MOPs), and minimizing risk to live workloads.
Plan and drive site audits covering compliance, capacity, power/cooling performance, physical security, and safety; track findings to closure.
Serve as the primary day-to-day interface with data center landlords and operators, managing the operational relationship, escalations, and coordination of on-site activity.
Partner closely with the Nebius IT team on deployments, capacity planning, incident response, and change management at each site.
Build reporting mechanisms and dashboards that give leadership clear visibility into site health, SLA performance, maintenance status, and open risk across the portfolio.
Lead incident coordination and post-incident follow-up, including root cause analysis and corrective action tracking with landlords and internal teams.
Track and manage contractual operational obligations, deliverables, and timelines across multiple sites and providers simultaneously.
About the team
The Data Center team is responsible for the physical infrastructure that underpins Nebius' AI cloud. We manage the full lifecycle of our COLO and BTS footprint — from bringing new capacity online to keeping live sites running reliably at scale. We work at the intersection of facilities operations, vendor management, and IT infrastructure, and we move fast because our customers' AI workloads depend on the reliability we deliver.
Basic qualifications
10+ years of experience in technical program management, data center operations, or critical facilities/infrastructure management.
Experience managing data center infrastructure and operations (power, cooling, space, connectivity) in colocation, build-to-suit, or owned environments.
Experience managing third-party vendors, landlords, or service providers against SLAs and contractual obligations.
Demonstrated ability to manage multiple programs, sites, or workstreams simultaneously and drive them to measurable outcomes.
Bachelor's degree in a relevant field, or equivalent practical experience.
Preferred qualifications
Direct experience with colocation (COLO) and build-to-suit (BTS) data center models, including operating across multiple landlords and operators.
Working knowledge of data center SLAs, MOPs/SOPs, maintenance regimes, and audit and compliance frameworks (e.g., Uptime Institute Tier standards, SOC 2, ISO 27001).
Experience supporting AI/HPC, GPU cluster, or other high-density compute infrastructure.
Strong familiarity with incident management and root cause analysis in a critical facilities context.
Experience building reporting mechanisms, dashboards, or operational scorecards for infrastructure health and risk.
PMP, Uptime ATD, or equivalent program/operations certification.
Proficiency with program and ticketing tools (e.g., Jira, ServiceNow) and comfort working with operational data.
Willingness to travel to sites as needed.
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.
We’re seeking a strong AI Test Architect for QA teams, to define and implement end-to-end AI testing strategies for test automation framework and generative AI systems.
Requirements:
- Be outside Russia and Belarus;
- Bachelor’s/College degree;
- At least 3 years of working in an English speaking environment;
- Strong technical background in QA engineering (7+ years);
- Experience in AI Test architecture;
- Understanding of QA processes.
Key Skills:
- AI/ML testing and validation;
- Test architecture and automation;
- Data quality and validation;
- Performance and scalability testing;
- Risk assessment and governance.
Conditions:
- Remote work;
- B2C contract;
- Full-time, 8 hours a day with 4 hours daily overlap with the core team (8 a.m. - 12 p.m. -5 UTC);
- Vacation is unpaid;
- Minimum contract duration is 9 months and more;
- English language required.
Salary: $6700 - 7700 before taxes.
DO NOT APPLY IF YOU DON'T HAVE REQUIRED EXPERIENCE!
Location: Dammam, Saudi Arabia
The Senior Business Systems Analyst is responsible for analyzing, evaluating, enhancing, and supporting business systems and processes that enable asset integrity, maintenance, inspection, and operational excellence across the organization. The role serves as a key liaison between business stakeholders and technical teams, ensuring that business requirements are translated into effective system solutions that improve operational efficiency, data integrity, and decision-making.
Education
Bachelor’s Degree in Information Technology, Computer Science, Information Systems, or a related field.
Experience
Minimum 15 years of relevant experience.
Minimum 5 years of experience on Saudi Aramco projects is preferred.
Experience in Oil & Gas, Petrochemical, Utilities, or Industrial sectors.
Mandatory Requirements
SAP
Strong hands-on experience in SAP Plant Maintenance (PM), including:
Equipment Master
Functional Locations
Maintenance Planning
Inspection Planning
Work Order Management
Experience with custom SAP developments and integrations.
Strong knowledge of ABAP, OData, CDS Views, Workflow, Smart Forms, Adobe Forms, BADIs, and BAPIs.
Experience with SAP Fiori/UI5, SAP BTP, and RAP developments.
Data & Analytics
Advanced Power BI development and reporting experience.
Strong SQL skills for data extraction, validation, and reporting.
Industrial Systems
Experience with PI System (OSIsoft) or similar industrial data historians.
Understanding of ETL processes and integration between operational and enterprise systems.
Business Systems Analysis
Proven experience in requirements gathering, business process analysis, solution design, testing, and system implementation.
Ability to manage system enhancements, troubleshoot issues, and coordinate end-to-end resolution.
Digital & Emerging Technologies
Knowledge of AI/ML applications for predictive maintenance and asset integrity.
Key Responsibilities
Analyze business requirements and recommend system improvements and automation solutions.
Support, enhance, and optimize SAP PM and related asset management systems.
Develop Power BI dashboards and business reports.
Coordinate with business users, IT teams, and vendors to deliver system enhancements.
Lead workshops, document requirements, and support testing and deployment activities.
Ensure data quality, governance, and compliance with company standards.
Preferred Certifications
SAP S/4HANA Asset Management (PM)
SAP BTP
SAP Fiori Associate
Microsoft Power BI (PL-300)
PMP / PRINCE2 / Agile
NACE/AMPP, API 510/570/653, or ISO 55000
Skills
Stakeholder Management
Project Management
Problem Solving & Troubleshooting
Data Governance
Communication & Documentation
Location: Remote - USA
Clover Health is investing in our fraud detection and investigation capabilities and is seeking a Director, AI-Enabled Fraud Prevention & Investigations to join our Legal department as a senior individual contributor. This hybrid role combines: (1) managing hands-on investigations of potential provider fraud with (2) building AI-powered tools and processes to make investigations more efficient and help catch potential future fraud earlier. You will develop and pilot new AI-enabled investigatory processes for Clover’s Medicare Advantage business, and own resulting investigations, in collaboration with Clover’s Special Investigations Unit (SIU) and other stakeholders.
This is a non-attorney role. You will work hand-in-hand with Clover’s lawyers and SIU to ensure that new investigatory processes you develop, and the resulting investigations, comply with Clover policies and regulatory requirements. Success in this role requires someone sharp, creative, and technically hands-on—someone who does not just use existing analytics tools but builds their own. That might mean writing a script to automate repetitive work, pulling apart a dataset when a standard report falls short, or working with an LLM until it produces something genuinely useful—all with the goal of finding smarter, more effective ways to investigate potential provider fraud.
As a Director, AI-Enabled Fraud Prevention & Investigations, you will:
Build Your Own Investigative Tooling:
Use AI to write the queries, scripts, and prompts that turn millions of claim lines and/or medical record data into a prioritized list of leads. Prototype detection logic yourself rather than waiting on a roadmap, and hand off what works to data science and engineering to productionize. We expect you to be the person who builds v1.
Investigate Potential Fraud End-to-End With AI in the Loop:
Own a portfolio of fraud investigations sourced using the tooling you develop, in collaboration with Clover’s SIU. Develop investigative plans, gather and analyze evidence (including claims data and medical records), and reach well-supported conclusions. Use LLMs and analytics to compress the parts of an investigation that have always been slow — reading unstructured data, triaging grievance narratives, and sizing exposure.
Build Defensible Documentation:
Develop case files and memos that are factually complete, well-organized, and prepared with the evidentiary and procedural standards necessary for downstream enforcement, recoveries, or provider actions.
Collaborate Across Functions:
Work with Clover's clinical, compliance, claims, payment integrity, provider relations, revenue operations, and SIU teams to gather information, validate findings, and translate investigative outcomes into operational improvements, provider education, and member impact.
Communicate Findings Clearly:
Prepare concise written reports and oral briefings that translate complex investigative facts into clear narratives for senior leadership and other stakeholders.
Success in this role looks like:
In your first 90 days
, you have embedded yourself as a trusted partner to both the Legal department and Clover’s SIU. You have built working relationships with key stakeholders across Clover's clinical, compliance, claims, payment integrity, revenue operations, and legal teams, and you have begun working through your initial portfolio of fraud investigations and ad hoc referrals.
By 6 months
, you are independently managing a steady caseload of fraud investigations with consistently high-quality work product, in collaboration with SIU. You have a clear working rhythm with Legal and SIU, and you have built at least one working tool — a script, a notebook, a dashboard, a prompt.
By 12 months
, you have a track record of strong investigations, successful recoveries and/or referrals, and effective cross-functional collaboration. Senior leaders across Clover view you as a trusted person to call when they have a hunch that something doesn't look right and want it examined.
You should get in touch if:
Knowledge of healthcare fraud schemes & investigative experience:
You have experience in healthcare fraud investigations, program integrity, or SIU operations, ideally within Medicare Advantage or managed care. You understand healthcare fraud schemes and know how to use claims data, medical records, and provider documentation to build a defensible factual record.
You are AI-native and enjoy building things using LLMs:
You can use LLMs to write SQL, Python, etc., to interrogate large claims and/or medical record datasets, automate investigative work, and prototype your own solutions rather than waiting for someone else to build them.
We do not expect production-grade engineering or require formal technical training—we value demonstrated ability to build, ship, and showcase solutions that work.
Strong communication skills:
You are a strong writer and communicator who can turn complex investigative findings into clear memos, referrals, and executive summaries, and you are comfortable building in a fast-moving, ambiguous environment.
Bonus points if:
You have built something people actually use—an internal tool, detection model, script, automation, or AI workflow that made a manual process better. We would rather see something scrappy and useful in production than something polished in a slide.
You have hands-on experience applying AI/ML to fraud, investigations, or compliance.
You have a J.D., legal training, or experience working alongside Legal, SIU, or compliance at a health plan.
You have industry certifications such as CFE, AHFI, or CHC.
Benefits Overview
:
Financial Well-Being
: Our commitment to attracting and retaining top talent begins with a competitive base salary and equity opportunities. Additionally, we offer a performance-based bonus program, 401k matching, and regular compensation reviews to recognize and reward exceptional contributions.
Physical Well-Being
: We prioritize the health and well-being of our employees and their families by providing comprehensive medical, dental, and vision coverage. Your health matters to us, and we invest in ensuring you have access to quality healthcare.
Mental Well-Being
: We understand the importance of mental health in fostering productivity and maintaining work-life balance. To support this, we offer initiatives such as No-Meeting Fridays, monthly company holidays, access to mental health resources, and a generous flexible time-off policy. Additionally, we embrace a remote-first culture that supports collaboration and flexibility, allowing our team members to thrive from any location.
Professional Development
: Developing internal talent is a priority for Clover. We offer learning programs, mentorship, professional development funding, and regular performance feedback and reviews.
Additional Perks:
Employee Stock Purchase Plan (ESPP) offering discounted equity opportunities
Reimbursement for office setup expenses
Monthly cell phone & internet stipend
Remote-first culture, enabling collaboration with global teams
Paid parental leave for all new parents
And much more!
About Clover:
We are reinventing health insurance by combining the power of data with human empathy to keep our members healthier. We believe the healthcare system is broken, so we've created custom software and analytics to empower our clinical staff to intervene and provide personalized care to the people who need it most.
We always put our members first, and our success as a team is measured by the quality of life of the people we serve. Those who work at Clover are passionate and mission-driven individuals with diverse areas of expertise, working together to solve the most complicated problem in the world: healthcare.
From Clover’s inception, Diversity & Inclusion have always been key to our success. We are an Equal Opportunity Employer and our employees are people with different strengths, experiences, perspectives, opinions, and backgrounds, who share a passion for improving people's lives. Diversity not only includes race and gender identity, but also age, disability status, veteran status, sexual orientation, religion and many other parts of one’s identity. All of our employee’s points of view are key to our success, and inclusion is everyone's responsibility.
#LI-REMOTE
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. We are an
E-Verify
company.
Final pay is based on several factors including but not limited to internal equity, market data, and the applicant’s education, work experience, certifications, etc.
A reasonable estimate of the base salary range for this role is:
$150,000
—
$240,000 USD
Задачи:
— Определять и владеть стратегией тестирования AI, включая фреймворки, инструменты, контроль качества и подходы к автоматизации для систем машинного обучения и традиционного ПО.
— Руководить, наставлять и развивать команду лидов тестирования ПО, устанавливать четкие ожидания, повышать технический уровень и культуру качества.
— Проектировать масштабируемые AI тестовые решения, такие как пайплайны валидации моделей, проверки качества данных, обнаружение смещения и дрейфа, а также бенчмаркинг производительности AI/ML моделей.
Требования:
— Проживание вне России и Беларуси.
— Высшее или среднее специальное образование.
— Минимум 3 года работы в англоязычной среде.
— Сильный технический опыт в QA Java инженерии (7+ лет), руководство тестовой командой (5+ лет), управление проектами.
— Опыт в архитектуре AI тестирования.
— Понимание жизненного цикла разработки ПО и процессов QA.
— Знание дизайна ПО и процессов интеграции.
— Опыт работы с Playwright, Java, Karate и другими инструментами.
— Знание методологий Agile/Scrum.
— Способность управлять несколькими приоритетами в быстром темпе.
Условия:
— Удаленная работа.
— Контракт b2b.
— Полная занятость, 8 часов в день с 4 часами пересечения с основной командой (8:00-12:00 UTC-5).
— Минимальный срок контракта 9 месяцев.
— Отпуск без оплаты.
— Зарплата $6700 - 7500 до вычета налогов.
Location: Hybrid
About Us
At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company.
At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in.
Available Locations
Austin, US
San Francisco, CA
About the Role
Cloudflare built its reputation helping build a better Internet, defending millions of sites, giving away SSL and DDoS mitigation when the industry charged premium prices. In an acceleratingly dangerous world, the scope of that mission has changed. We are becoming something more: critical infrastructure. Banks run their payment rails on us. Governments run public services on us. Media companies depend on us during live events. Health systems depend on us to provide care. Reliability for these customers is no longer a feature of our product. It is a mission.
Serving that customer base demands a different operating model. Traditional support organizations route tickets. Traditional engineering organizations ship features. Neither alone is enough when the stakes are this high. We are pivoting to something different: a customer-facing engineering organization, directly engaged with our customers at scale. This is work a central dev team cannot do from the inside of the network.
The Customer Reliability Engineering function is the spine of that pivot. CRE is SRE applied outward, the same engineering discipline, applied to the reliability of the systems our customers run on Cloudflare. You are the engineer who owns the problems that matter most to the customers who matter most, and you contribute directly to our products and tooling, in partnership with Product Engineering, to hold that standard across the entire customer base.
CRE is a rapid response team and a proactive engineering team. You fix things at the edge as they come up, and you help build the product capabilities that identify customer issues before they become a crisis. Both modes are equally core.
Rapid response.
When a customer issue surfaces that is high-severity, cross-layer and complex, you are the engineer who answers. You reproduce the defect, isolate the root cause across Cloudflare's infrastructure and the customer's stack, drive the fix with Product Engineering, and confirm resolution. You hold on-call for high-severity incidents as part of a global shift rotation.
Proactive engineering.
When no fire is burning, you work with Product Engineering and our platform teams to build the capabilities that make the next fire cheaper or unnecessary: telemetry pipelines that correlate signals across the customer base, detectors that fire before a human notices, diagnostic tooling that scales across hundreds of customers, automation that reduces toil for Customer Support. Every incident you carry generates engineering output that reduces the cost of recurrence. The work compounds.
Cloudflare is building CRE as an AI-native function. You will work with and help build agents and tooling that pre-diagnose incidents, surface relevant logs and configuration, and propose fixes with cited evidence. Engineers who ship AI-assisted diagnostics are the ones defining this discipline.
Responsibilities
Rapid response:
Own a Sev-1 incident where a large financial services customer sees asymmetric latency from a single POP. Trace it through BGP routing and origin configuration. Produce the fix upstream.
Diagnose a recurring WebSocket disconnect that a media customer has been fighting for weeks. Isolate it to a specific interaction between WAF and their origin load balancer. Drive the fix with Product Engineering.
Partner with a government customer's SRE team during an active DDoS event. Help them shape their Magic Transit and WAF configuration in real time.
Proactive engineering:
Build, with Product Engineering, a distributed tracing capability that correlates Cloudflare edge signals with customer origin metrics so a single query tells the story of a failing request end-to-end.
Ship a detector for a class of WAF false positives silently degrading several customers. Get it into production before the next renewal cycle.
Prototype an AI agent that takes a new customer case, pulls relevant logs and config, and proposes a root cause with linked evidence. Deploy it internally. Measure whether it makes engineers faster. Iterate.
Rapid incident response and root cause analysis.
Own the most complex, high-severity customer issues end-to-end, from first signal through confirmed resolution. Lead deep-dive debugging across the full stack: edge, network, DNS, transport, APIs, application, customer-side configuration. Reproduce defects, validate fixes with Engineering, and confirm customer-side resolution. Produce postmortems other engineers rely on. Hold on-call for high-severity incidents as part of a global rotation that includes weekends.
Proactive reliability engineering.
Analyze support and telemetry signals across the customer base to find systemic risks before they become incidents. Contribute monitoring, detection, and diagnostic capability to the core product and the engineering systems that give Customer Support early visibility into customer-affecting issues. Define customer-facing reliability metrics (error rates, resolution times, repeat-contact rates) and drive measurable improvement. Write automation that reduces mean-time-to-detect and mean-time-to-resolve.
Cross-functional partnership.
Manage the technical escalation lifecycle with clear ownership and timely communication. Partner with Product Engineering to drive fixes, workarounds, and configuration changes that address underlying gaps. Represent the customer reliability perspective in engineering syncs, incident reviews, and post-mortem processes.
Technical leadership and enablement.
Raise the technical floor of Customer Support through pair-debugging, structured knowledge transfer, and shared tooling. Document diagnostic procedures and resolution patterns in runbooks, internal knowledge bases, and AI skills. Share insights from customer-facing incidents to improve product documentation and operational readiness.
Product and platform depth.
Maintain deep, current expertise across Cloudflare's product portfolio: edge networking, DNS, CDN, WAF, DDoS mitigation, Zero Trust, Workers, and our developer platform. Anticipate customer impact from new releases and architecture changes. Serve as a go-to subject-matter expert in one or more domains.
Desirable Skills, Knowledge, and Experience
Minimum 5 years of hands-on experience in site reliability engineering, escalation engineering, systems engineering, or a comparable deeply technical support / operations role, with at least 2 years in customer-facing environments.
Strong foundation in networking and security:
TCP/IP fundamentals: OSI model, IPv4/IPv6 addressing, subnetting, routing, switching.
Core protocols: DNS, HTTP/S, TLS/SSL, SMTP, SNMP, NTP.
Routing protocols: BGP, OSPF, including path selection and route propagation.
Firewall concepts: stateful/stateless inspection, rule sets, NAT, ACLs.
VPN and encryption: IPSec, SSL/TLS tunnels, GRE.
Zero Trust architecture, network segmentation, modern security models.
Proficiency with observability and diagnostic tooling: packet capture and analysis (Wireshark, tcpdump), log aggregation (Kibana, Elasticsearch), metrics dashboards (Grafana), distributed tracing.
Strong scripting and automation skills (Bash, Python) with a track record of shipping tooling that improves reliability and reduces toil.
Experience with incident management, postmortem culture, and SLO/SLI-based reliability practices.
Excellent written and verbal communication. Able to convey complex technical information clearly to engineers, leadership, and customers.
Comfort owning ambiguous, cross-layer problems. Composure under pressure during high-severity incidents.
SRE, DevOps, or platform engineering experience with direct customer-facing accountability.
Deep expertise at both L3/L4 (network infrastructure) and L7 (application protocols, DNS, HTTP, WebSocket).
Expert-level proficiency with Linux command-line tools: curl, dig, git, traceroute, mtr, strace, ss.
Data-at-scale analysis using SQL, PromQL, or equivalent.
Familiarity with CI/CD pipelines, infrastructure-as-code (Terraform, Pulumi), and container orchestration (Kubernetes, Docker).
Track record of building internal tooling or diagnostic utilities that measurably improved team efficiency.
Demonstrated technical leadership: mentoring engineers, driving cross-team initiatives, influencing outcomes without direct authority.
Experience applying AI/ML to production engineering or operational workflows.
Comfort engaging directly with enterprise customer engineering teams, including on calls during incidents.
Bonus Points
Active Cloudflare user who understands the platform as a practitioner.
Hands-on experience with Workers, Pages, R2, D1, or other developer platform services.
Cloud networking and security experience across AWS, Azure, or GCP.
Web programming (HTML, JavaScript) and regular expressions.
Chaos engineering or formal reliability frameworks (e.g., Google SRE principles).
Managing or configuring non-HTTP services: email, DNS authoritative/recursive, FTP, SSH.
Compensation
Equity
This role is eligible to participate in Cloudflare's equity plan.
Benefits (may vary by region)
Cloudflare offers a complete package of benefits and programs to support you and your family. Our benefits programs can help you pay health care expenses, support caregiving, build capital for the future, and make life a little easier and fun. The below is a description of our benefits for employees in the United States; benefits may vary for employees based outside the U.S.
Health & Welfare Benefits
Medical/Rx Insurance
Dental Insurance
Vision Insurance
Flexible Spending Accounts
Commuter Spending Accounts
Fertility & Family Forming Benefits
On-demand mental health support and Employee Assistance Program
Global Travel Medical Insurance
Financial Benefits
Short and Long Term Disability Insurance
Life & Accident Insurance
401(k) Retirement Savings Plan
Employee Stock Participation Plan
Time Off
Flexible paid time off covering vacation and sick leave
Leave programs, including parental, pregnancy health, medical, and bereavement leave
Compensation
Compensation may be adjusted depending on work location.
For San Francisco Bay Area based hires: Estimated annual salary of $174,000 - $240,000.
Equity
This role is eligible to participate in Cloudflare's equity plan.
What Makes Cloudflare Special?
We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet.
Project Galileo
: Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost.
Athenian Project
: In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states.
1.1.1.1
: We released
1.1.1.1
to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our
privacy commitment
and ensure that no user data is sold to advertisers or used to target consumers.
Sound like something you’d like to be a part of? We’d love to hear from you!
Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs. More details about this will be available at that stage of the interview process.
This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license.
Cloudflare is proud to be an equal opportunity employer. We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness. All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual
race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law.
We are an AA/Veterans/Disabled Employer.
Cloudflare provides reasonable accommodations to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment. If you require a reasonable accommodation to apply for a job, please contact us via e-mail at
hr@cloudflare.com
or via mail at 101 Townsend St. San Francisco, CA 94107.
Location: Hybrid - Sydney
About Vercel:
Vercel is the agentic infrastructure company, freeing people and agents to ship what's next. For more than a decade we've helped builders move from idea to production with speed, security, and exceptional developer experience.
Now we're scaling our products for both agents and people to ship and run software, built in the open and trusted by OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide.
About the role
Vercel's Enterprise sales team is built on people who are technically fluent, commercially sharp, and deeply curious about the companies they sell into. As a Majors AE covering some of the key ANZ market, you will own a curated book of named enterprise accounts and be the primary driver of net-new revenue and platform expansion. You will work alongside Solutions Engineers, Partner Manager, and cross-functional Vercel stakeholders to bring Vercel's platform into some of the most digitally ambitious and transformational companies in the region.
If you’re based within a pre-determined commuting distance of one of our offices (SF, NY, London, or Berlin), the role includes in-office anchor days on Monday, Tuesday, and Friday. If you're located beyond that distance, the role is fully remote. For location-specific details, please connect with our recruiting team.
What you'll do
Build and execute multi-year account plans across a curated set of named Major Accounts, with hyperscaler’s, SIs, and agency partners embedded in the strategy from day one
Drive net-new revenue through outbound ownership, rigorous discovery, executive alignment, and multi-threaded deal execution spanning engineering, product, procurement, legal, and the C-suite
Translate Vercel's platform into board-level narratives around developer velocity, infrastructure consolidation, and AI-driven transformation as measurable operational levers
Own complex commercial negotiations and establish Vercel as a long-term strategic infrastructure partner embedded in your accounts' roadmaps for web and AI transformation
What you need
5–10+ years in enterprise SaaS with a demonstrated track record of closing six and seven-figure deals in major or strategic accounts
Experienced in partner-influenced or co-sell motions — you know how to activate a hyperscaler or SI/ISV relationship to open doors and accelerate deals, not just name-drop them
Fluent in English and local language requirements based on the territory you’re focused on;
Comfortable discussing architecture with a CTO and total cost of ownership with a CFO
A disciplined account planner who thinks in years, builds executive relationships from scratch, and sequences complex accounts to maximize long-term revenue
Fluent in MEDDPICC and rigorous about forecast hygiene and CRM discipline
Able to hold credible, technically grounded conversations with senior engineering and product leadership — without leaning on a solutions engineer as a crutch
A value seller who leads with business outcomes and customer pain, not feature lists
Bonus if you
Have a background in web development, developer tooling, web infrastructure, cloud platforms, or AI/ML
Come with existing relationships at AWS, GCP, Azure, or major SI/ISV players active in the ANZ market
Have experience navigating ELAs, global framework agreements, or enterprise procurement in regulated industries
Have sold into media, retail, financial services, or digital-native companies — verticals where Vercel has strong traction in the ANZ market
Compensation & Benefits:
Competitive compensation package, including equity.
Inclusive Healthcare Package.
Learn and Grow - we provide mentorship and send you to events that help you build your network and skills.
Flexible Time Off.
We will provide you the gear you need to do your role, and a WFH budget for you to outfit your space as needed.
The Australia based pay range for this role is 388,000 - 524,000 AUD OTE. Actual salary will be based on job-related skills, experience, and location. The total compensation package may include benefits, equity-based compensation, and eligibility for a company bonus or variable pay program depending on the role. Your recruiter can share more details during the hiring process.
Disclosures:
Privacy:
Please review our
Job Applicant Privacy Policy
for more information on how we handle your data.
Equal Opportunity:
Vercel is committed to fostering and empowering an inclusive community within our organization. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law. Vercel encourages everyone to apply for our available positions, even if they don't necessarily check every box on the job description.
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
Tavily
We're building the infrastructure layer for agentic web interaction at scale. Our API is designed from the ground up to power Retrieval-Augmented Generation (RAG) and real-time reasoning in AI systems. By connecting LLMs to high-quality, trustworthy web content, we help developers build agents that are not only intelligent — but also informed.
We work with some of the most innovative teams in AI — from small startups shaping the ecosystem to the largest enterprises deploying AI at scale. Whether it's powering sales assistants, research copilots, or internal knowledge tools, we're the missing link between LLMs and the real world.
The Role:
Senior
Site Reliability
Engineer
Managing Kubernetes clusters across multiple environments and regions
Owning infrastructure as code for all resources
Maintaining and improving CI/CD pipelines and GitOps-based deployments
Maintaining and optimize real-time data pipelines that process billions of events per day across distributed queues and stream processors
Building out monitoring, alerting, and observability
Debugging production issues across services
Managing cloud costs and capacity planning
Working closely with a small engineering team — you'd own infra, not a slice of it
What
we're
looking for
5-8 years in a DevOps or SRE role, working in production environments
Proven experience designing and operating large-scale, distributed systems, with a solid understanding of API design, reliability, and performance at scale
Strong Kubernetes experience in a managed cloud environment
Proficiency with infrastructure as code (Terraform or similar)
Experience with GitOps-based deployment workflows
Built or maintained observability stacks (logging, metrics, alerting)
Experience handling production incidents calmly and methodically
Nice to have:
Multi-region deployments
Search infrastructure
Data pipeline experience (streaming, warehousing)
Proxy/networking infrastructure at scale
Why
Tavily
?
Full ownership
— small team, you own the entire infrastructure, not a slice of it
Real scaling challenges
— bursty scraping workloads, cache invalidation, multi-region, millions of daily requests
AI-native company
— your infra directly powers AI agents used by leading companies in the space.
Key employee benefits in the US:
Health insurance:
100% company-paid medical, dental, and vision coverage for employees and families.
401(k) plan:
Up to 4% company match with immediate vesting.
Parental leave:
20 weeks paid for primary caregivers, 12 weeks for secondary caregivers.
Remote work reimbursement:
Up to $85/month for mobile and internet.
Disability & life insurance
: Company-paid short-term, long-term and life insurance coverage.
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
$147,200
—
$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: London, UK
Workplace: Remote
1Password is growing. We’ve surpassed $500M in ARR and we’re continuing to accelerate, earning a spot on the Forbes Cloud 100 for four years in a row and teaming up with iconic partners like Oracle Red Bull Racing.
About 1Password
At 1Password, we’re building the foundation for a safe, productive digital future. Our mission is to unleash employee productivity without compromising security by ensuring every identity is authentic, every application sign-in is secure, and every device is trusted. We innovated the market-leading enterprise password manager and pioneered Unified Access Management, a new cybersecurity category built for the way people and AI agents work today. As one of the most loved brands in cybersecurity, we take a human-centric approach in everything from product strategy to user experience. Over 180,000 businesses, from Fortune 100 leaders to the world’s most innovative AI companies, trust 1Password to help their teams securely adopt the SaaS and AI tools they need to do their best work.
If you're excited about the opportunity to contribute to the digital safety of millions, to work alongside a team of curious, driven individuals, and to solve hard problems in a fast-paced, dynamic environment, then we want to hear from you. Come join us and help shape a safer, simpler digital future.
The 1Password Sales Engineering team is a valuable resource to our customers and fellow Go-to-Market team members. Our Sales Engineers are well known and respected as experts on the product, trusted advisors to our sales teams and customers, and a sought-after resource for various types of customer calls. The team collaborates with Product, Marketing, Enablement, and Support to create resources, provide training opportunities, and elevate the overall understanding of 1Password. We are a kind, curious, approachable, and customer-focused team on a mission to drive the vision of 1Password forward.
As a Sales Engineer for the SMB segment, you will be a trusted technical advisor, driving revenue growth, improving win rates, and accelerating deal velocity through strategic technical guidance. Partnering closely with Account Executives, you will demonstrate and position Enterprise Password Management (EPM), 1Password Privileged access, Software as a service (SaaS) Manager and device trust as an integrated solution that helps reduce risk across users, applications and devices.
You will navigate high-volume, fast-paced SMB sales cycles, uncovering opportunities to position the full product suite and applying frameworks like MEDDPICC to qualify opportunities, address requirements, and influence decision-makers. You will also support customers with compliance needs by responding to security questionnaires, RFPs/RFIs, and vendor registration requirements.
You will bring credibility with both security and technical buyers, including those evaluating or transitioning from developer-centric secrets management tools. As 1Password's portfolio evolves toward Unified Access, your ability to bridge human identity (EPM), application access (SaaS Manager), and endpoint trust (Device Trust) with the emerging machine identity and secrets automation narrative will be a differentiator in every deal.
As a subject matter expert across all 1Password products, you will collaborate with Sales Enablement, Product, Marketing, and Customer Experience to create resources, enablement materials, and customer-facing content that drive adoption, improve close rates, and deliver measurable business impact.
How we’re using AI today
Across GTM, we’re transforming the way we work with AI. We expect every seller, CSM, and team member to become a power user, using it daily to work smarter and move faster. AI is already embedded in how we operate – from real-time coaching that sharpens how we sell and interact with customers, to surfacing insights that help us anticipate needs – creating more time for meaningful customer engagement. If you’re excited to reshape how you think, make decisions, and drive growth with AI, you’ll feel right at home here.
Expectations of this role
This is a hybrid role. You will be expected to work from 1Password's London office 3 days per week, with the flexibility to work from the office up to 5 days based on business needs.
Note: All go-to-market roles will have an in-person onboarding in Toronto.
What we're looking for:
- At least 4 years of experience in a technical customer-facing role (B2B SaaS, preferably in the SMB segment or similar).
- Ability to communicate in French fluently
- Ability to communicate technical information clearly and confidently to a wide range of audiences, including non-technical stakeholders.
- Strong presentation, communication, and storytelling skills, making complex information sound simple and relevant.
- Detail-oriented with a strong sense of ownership and commitment to quality, even in high-volume environments.
- Enthusiasm for learning, testing, and problem-solving. You are curious and dig in when a customer has a challenge.
- Strong time-management skills with the ability to effectively prioritize competing tasks and meet deadlines in a fast-paced, transactional sales environment.
- Proven ability to work independently and collaboratively in a fast-paced, remote-first team.
- Open to learning and able to adapt quickly, working across multiple products and shifting priorities with a flexible and proactive mindset.
- Experience in or strong familiarity with the security and identity space, including credential management, privileged access, or secrets management. Prior exposure to tools such as HashiCorp Vault, CyberArk, BeyondTrust, Delinea, or similar PAM and secrets platforms is a significant advantage.
- Familiarity with relevant compliance frameworks (e.g., SOC 2, ISO 27001, GDPR) is strongly preferred.
- Comfortable navigating developer-centric conversations, including how teams manage secrets in CI/CD pipelines (e.g., GitHub Actions, GitLab CI, Jenkins, CircleCI), container environments (Docker, Kubernetes), and cloud infrastructure (AWS, GCP, Azure). You don't need to write the code, but you should understand the workflow and the risks.
- Familiarity with DevSecOps principles and how engineering teams embed security into their development lifecycle. Able to engage confidently with DevOps leads, platform engineers, and CISOs on the risks of secrets sprawl, hardcoded credentials, and over-privileged service accounts.
- Working knowledge of identity concepts including SSO, SCIM provisioning, and OAuth/OIDC, and how SaaS application access is managed across growing teams. Familiarity with MDM or endpoint management tools (e.g., Jamf, Intune, CrowdStrike) is a bonus.
- Awareness of the growing challenge of non-human identity: service accounts, API tokens, bot credentials, and the security risks they introduce as teams scale AI and automation workflows. Ability to position this as a near-term customer pain, even in SMB accounts.
- Working knowledge of modern sales qualification frameworks (e.g., MEDDPICC) is preferred. Training and enablement will be provided as part of ongoing development.
- A growth mindset and a genuine curiosity about the evolving identity and security landscape.
- Bonus: hands-on experience integrating 1Password or a secrets manager with a developer workflow, CI/CD tool, or automation platform (e.g., GitHub Actions, Zapier, n8n, Make, or similar).
What you can expect:
- Serve as the primary technical advisor for SMB sales opportunities within the Go-to-Market team.
- Partner with Account Executives to deliver scalable, impactful technical support throughout the sales cycle.
- Confidently position and demo all three core products, EPM, SaaS Manager, and Device Trust, as an integrated solution, articulating how they work together to reduce risk across users, apps, and devices. Connect these to the broader Unified Access vision for forward-looking customers.
- Support fast-paced, high-volume sales cycles with concise, effective technical guidance.
- Recommend and position tailored product solutions that align with SMB customer needs, goals, and common use cases.
- Run technical discovery with a range of stakeholders, from IT admins and security leads to developers and DevOps engineers, uncovering use cases around privileged access, SaaS shadow IT, unmanaged endpoints, and secrets for automation and AI workflows.
- Handle competitive situations involving PAM vendors (e.g., CyberArk, BeyondTrust), secrets management tools (e.g., HashiCorp Vault, AWS Secrets Manager), and SaaS security platforms. Articulate 1Password's differentiated value for SMB teams who need enterprise-grade capabilities without enterprise-grade complexity.
- Partner with SMB reps to build their confidence in discussing product capabilities and navigating technical conversations.
- Proactively identify potential technical risks in deals and collaborate with Product and Support teams to resolve them.
- Uncover and qualify AI-related use cases during discovery, including how customers are managing secrets for developer tooling, automation workflows, and emerging AI agent infrastructure.
- Support proof-of-concept engagements that validate Secrets Automation use cases, including scenarios where customers are securing credentials for AI pipelines, developer environments, or cloud-native workloads.
- Collaborate with Sales Enablement and Product Marketing to create and improve internal resources such as objection handling guides, demo frameworks, and playbooks.
- Deliver product education to customers focusing on accessibility for non-technical or resource-constrained teams.
- Respond to vendor/risk assessments, RFPs/RFIs, security questionnaires, and other technical documentation requests as needed.
- Represent the team at select industry events and company/team offsites. Some travel may be required.
UK-based roles only: The annual base salary for this role is between £65,000 GBP and £91,000 GBP, and is commission-eligible. This role is also immediate participation in 1Password's benefits program (health, dental, pension, and many others), utilization of our generous paid time off, an equity grant and, where applicable, participation in our incentive programs.
At 1Password, we approach each individual's compensation with a promise of fair market value and internal equity commensurate with experience and specific skill set.
This posting is for an existing vacancy.
Our culture
At 1Password, we prioritize collaboration, clear and transparent communication, receptiveness to feedback, and alignment with our core values: keep it simple, lead with honesty, and put people first.
You’ll be part of a team that challenges the status quo, and is excited to experiment and iterate in search of the best solution. That said, 1Password is not for everyone https://blog.1password.com/inside-the-culture-powering-1passwords-next-chapter/. Our work is demanding, we strive for excellence, and the pace is fast. We need people who are keen to take on challenging problems, who seek feedback to grow, and who are driven to make an impact. If you're looking for a place where you can settle into a comfortable routine, this might not be the right fit for you. We’re looking for individuals who are proven experts in their fields, as well as those who are highly adaptable, can thrive in ambiguity and through change, are curious, and above all deliver results.
How we work with AI
We are committed to leveraging cutting-edge technology—including AI—to achieve our mission. We also understand that thinking critically about AI in its current forms will help us create better solutions for our customers and ourselves with its future forms, which will help us continue to close the gap between security and privacy and achieve our mission. We want team members at all levels to take the approach of actively learning AI best practices, identifying opportunities to apply AI in meaningful ways, and driving innovative solutions in their daily work. Embracing the future of AI isn't just encouraged—it's an essential part of how we will be successful at 1Password.
This approach extends to our hiring process—candidates are welcome to use AI tools responsibly and thoughtfully during the application process.
Our approach to work
We recognize the power of both in person collaboration and remote work. Some roles are designated as remote-first, with an expectation that individuals work from their homes majority of the time, while others are designated as in-office roles, with an expectation of being on-site on a regular basis. We recognize that certain roles benefit from regular, in-person connection to support collaboration, team cohesion, and customer engagement.
For all roles, occasional travel may be required. This includes things like: department-wide offsites, quarterly department meetings and periodic customer events. These events are typically held in varying locations across Canada, USA and/or EMEA. In leadership roles, you can expect to travel once per month on average.
Note: All go-to market roles will have an in-person onboarding in Toronto.
What we offer
We believe in working hard, and rewarding that hard work through our benefits. While not an exhaustive list, here is a glance at what we currently offer:
Health and wellbeing
👶 Maternity and parental leave top-up programs
🩺 Competitive health benefits
🏝 Generous PTO policy
Growth and future
📈 RSU program for most employees
💸 Retirement matching program
🔑 Free 1Password account
Community
🤝 Paid volunteer days
🏆 Peer-to-peer recognition through Bonusly
🌎 Remote-first work environment
*Some roles in our GTM team are currently being hired for in-person hybrid work in Toronto and Austin. These roles will specify on the posting.
You belong here.
1Password is proud to be an equal opportunity employer. We are committed to fostering an inclusive, diverse and equitable workplace that is built on trust, support and respect. We welcome all individuals and do not discriminate on the basis of gender identity and expression, race, ethnicity, disability, sexual orientation, colour, religion, creed, gender, national origin, age, marital status, pregnancy, sex, citizenship, education, languages spoken or veteran status. Be yourself, find your people and share the things you love.
Accommodation is available upon request at any point during our recruitment process. If you require an accommodation, please speak to your talent acquisition partner or email us at nextbit@agilebits.com and we’ll work to meet your needs.
Remote work is a part of our DNA. Given that our company was founded remotely in 2005, we can safely say we're experts at building remote culture. That said, remote work at 1Password does mean working from your home country. If you've got questions or concerns about this, your talent partner would be happy to address them with you.
Successful applicants will be required to complete a background check that may consist of prior employment verification, reference checks, education confirmation, criminal background, publicly available social media, credit history, or other information, as permitted by local law.
1Password uses artificial intelligence (AI) and machine learning (ML) technologies, including natural language processing and predictive analytics, to assist in the initial screening of employment applications and improve our recruitment process. See here https://www.ashbyhq.com/downloadables/ashby-bias-audit-08-2024.pdf for the latest third party bias audit information. If you prefer not to have your application assessed using AI/ML features, you may opt out by completing this form https://jobs.ashbyhq.com/1password/automation-notice. For additional information see our Candidate Privacy Notice https://1password.com/files/candidate-privacy-notice.pdf.
Location: Israel
About Nebius:
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
The role
We are looking for a Senior Product Manager to join our Agentic Search team, building the search and retrieval infrastructure that powers AI agents and LLM-based applications at scale.
This is a hands-on IC role with real ownership. You will take full end-to-end responsibility over a core product area, from defining strategy through shipping and iterating based on real usage data. You will work within a small PM team reporting to the Director of Product, alongside engineering, design, and go-to-market, shaping how AI agents discover, retrieve, and act on web information in real time.
The product serves both a developer-facing PLG motion and a growing enterprise customer base, so you will need to be equally comfortable digging into API design and search quality as you are running customer discovery calls and informing competitive positioning. We are looking for someone who can operate as a senior strategic partner, not just an executor, and who has the potential to grow into a principal-level PM over time.
You’re welcome to
work hybrid from Tel Aviv, Israel.
Your responsibilities will include:
Own a core product area end-to-end: strategy, roadmap, execution, and iteration based on real usage signals and customer feedback.
Drive search quality and relevance improvements by working closely with engineering and research to define evaluation frameworks, benchmarks, and release criteria.
Engage directly with enterprise customers and developer users to validate ideas, understand pain points, and shape product-market fit across both PLG and enterprise motions.
Monitor the competitive landscape in agentic search and AI-powered retrieval, identifying shifts, threats, and opportunities that should inform product decisions.
Collaborate with go-to-market teams (sales, solutions, growth) to ensure product positioning, ICP definitions, and enablement materials reflect product reality.
Contribute to product strategy as a senior voice on a small, high-impact team, challenging assumptions and bringing independent judgment to key decisions.
Lead product experiments and rapid iteration cycles, moving from hypothesis to prototype to production with clear success criteria.
We expect you to have:
5+ years of product management experience, with a meaningful portion in developer tools, API platforms, or search and retrieval infrastructure.
Track record of shipping products in fast-moving markets, working closely with engineering and design from concept through launch and iteration.
Strong understanding of LLMs, AI agents, and how search and retrieval systems fit into agentic workflows. Hands-on technical background is a strong plus.
Degree in computer science, engineering, or a related field, with the ability to engage deeply with technical architecture and tradeoffs.
Comfortable operating in ambiguity: you can context-switch between strategic thinking and tactical execution without losing the thread.
Proven ability to influence cross-functional stakeholders and drive alignment without formal authority.
Excellent written and verbal communication: you can explain technical concepts clearly to both engineers and business stakeholders.
It will be
an added bonus
if you have:
Experience in search, information retrieval, NLP, or adjacent domains.
Background in API-first or developer-platform businesses with both PLG and enterprise motions.
Leadership experience in a high-growth technology company, especially post-acquisition or startup-within-a-larger-org environments.
People management or mentoring experience (building the skills of other PMs).
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: United states
Role: Principal Architect
Reports to:
Global Head of Technology (SVP Engineering)
Function:
Platform & Product Architecture (Cloud-Native Data/SaaS)
About Reltio
At Reltio®, an SAP Company, we believe data should fuel your success in the enterprise AI era. Our Context Intelligence Platform turns fragmented data into a trusted, connected context so AI agents and systems can act with expert-level judgement at enterprise scale. Reltio’s cloud-native SaaS platform harmonizes, unifies, and governs data across sources and formats—including unstructured data—in real time, turning them into data assets that can be mobilized in milliseconds to any application, user, or AI agent. Trusted by more than 200 of the world’s largest brands across industries such as life sciences, financial services, healthcare, and technology, we fuel frictionless operations and help enterprises accelerate innovation and reduce risk.
At Reltio, our values guide everything we do. With an unyielding commitment to prioritizing our “Customer First”, we strive to ensure their success. We embrace our differences and are “Better Together” as One Reltio. We are always looking to “Simplify and Share” our knowledge when we collaborate to remove obstacles for each other. We hold ourselves accountable for our actions and outcomes and strive for excellence. We “Own It”. Every day, we innovate and evolve, so that today is “Always Better Than Yesterday”. If you share and embody these values, we invite you to join our team at Reltio and contribute to our mission of excellence.
Reltio has earned numerous awards and industry and analyst recognition for our technology, our culture and our people. Reltio was founded on a distributed workforce and offers flexible work arrangements to help our people manage their personal and professional lives. If you’re ready to work on unrivaled technology where your desire to be part of a collaborative team is met with a laser-focused mission to enable digital transformation with connected data, let’s talk!
Job overview
Reltio is scaling a cloud-native, multi-tenant data platform used by global enterprises. We need a Principal Architect to set the end-to-end architecture vision, de-risk the roadmap, and turn strategy into secure, reliable, cost-efficient systems—while upleveling the engineering organization.
Enterprise & Product Architecture:
Define the north-star architecture for a multi-tenant SaaS data platform (ingest → processing → storage → query → API/SDK/UX). Establish reference architectures, decision records, and standards.
Cloud-Native Platform:
Drive container orchestration, service mesh, control planes, observability, and resilience across AWS/Azure/GCP.
Data & Streaming:
Lead designs for high-volume streaming, low-latency query, and analytical/ML use cases (batch + real-time).
AI/ML & Agentic AI:
Partner with product and security to embed responsible LLM/agentic patterns (guardrails, retrieval, evals) into customer-facing and internal developer workflows.
Reliability, Security & Compliance:
Champion SRE/SOC2/ISO/GDPR-by-design, error budgets, threat modeling, and secure SDLC.
Developer Experience:
Improve CI/CD, test strategy, paved roads, and golden paths; reduce cognitive load and toil across teams.
Executive & Customer Influence:
Translate architecture trade-offs for executives and key customers; guide buy-build-integrate decisions.
Key Responsibilities
Set the vision: Author and socialize the product/platform architecture strategy; maintain ADRs and tech radars.
Design at scale:
Lead designs for multi-tenant isolation, data models, schemas, indexing/OLAP, and event-driven systems.
Evolve the platform:
Standardize service meshes, API gateways, policy-as-code, and multi-cloud deployment patterns.
Operational excellence:
Embed SRE practices (SLOs, error budgets, incident learning), capacity planning, and chaos testing.
Security & privacy:
Lead threat models, data classification, encryption, secrets, key management, and SBOM/SLSA controls.
AI architecture:
Define patterns for RAG/agents, prompt & model governance, telemetry, evaluations, and fallbacks.
Mentor & scale:
Coach Staff/Principal engineers and architects; chair architecture reviews; build a healthy review culture.
Executive partnering:
Communicate options/trade-offs to C-suite; align decisions with business value and customer impact.
Customer evangelism:
Join key enterprise conversations; convert requirements into pragmatic designs and phased delivery.
Qualifications
20+ years in product/platform architecture
for large-scale, cloud-native SaaS; recent
Principal/Distinguished Architect
scope leading end-to-end product decisions and migrations across multi-cloud.
Cloud & Kubernetes depth:
EKS/AKS/GKE; service mesh (Istio/Linkerd), observability (Prometheus/Grafana), platform control planes, operators/CRDs. Able to define golden paths/paved roads for teams.
Data platform & streaming expertise:
Kafka/Flink/Spark; columnar/OLAP (Druid, ClickHouse), NoSQL (Cassandra), search (Elasticsearch/Opensearch); real-time + batch patterns.
Microservices & integration at enterprise scale:
API gateways, event-driven design, SOA/EAI (Apache Camel/Mule/WSO2/JBoss Fuse).
AI/ML & Agentic AI in production:
ML pipelines (MLflow/Kubeflow/Airflow) and LLM/agent frameworks (OpenAI APIs, LLaMA, LangChain/LangGraph; tool-use, memory, evals).
Security, privacy, and compliance by design:
threat modeling, data classification, encryption/keys, and
EU GDPR
awareness through real product work.
Executive communication & customer leadership:
converts complex trade-offs into simple choices; partners with CXO/stakeholders globally; architecture evangelism with customers.
C-suite influence & decision facilitation:
runs architecture reviews/SteerCos with crisp options, risk/ROI framing, and written decision records; pre-wires global stakeholders to land decisions quickly.
Customer-back product thinking:
meets enterprises regularly, translates requirements into phased designs (MVP → scale), and defends non-negotiables (SLOs, security, privacy).
Cross-geo orchestration:
proven delivery across US/EU/India time zones; builds async rituals, documentation standards, and handoff mechanisms that raise velocity and quality.
Culture carrier & coaching:
uplevels Staff/Principal engineers, codifies paved roads (CI/CD, testing, observability), and scales architectural patterns via ADRs/radars.
Preferred Qualifications
Multi-cloud platform stewardship:
proven ownership of cross-cloud platforms (e.g., control planes, observability, incident management) and data lake stacks, shipped to enterprise customers.
Cost/performance engineering:
track record reducing infra cost per tenant and improving p95/p99 latency/MTTR via capacity planning, workload placement, and autoscaling patterns.
Programming fluency:
Java/Scala/Python/Go/Rust for credible code-review and reference implementations.
OSS & ecosystem contribution:
prior contributions to relevant frameworks (e.g., Hadoop tuning, NoSQL ORM, Camel/Keycloak) a plus.
Reltio is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Reltio is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities.
Location: United states
Role: Principal Architect
Reports to:
Global Head of Technology (SVP Engineering)
Function:
Platform & Product Architecture (Cloud-Native Data/SaaS)
About Reltio
At Reltio®, an SAP Company, we believe data should fuel your success in the enterprise AI era. Our Context Intelligence Platform turns fragmented data into a trusted, connected context so AI agents and systems can act with expert-level judgement at enterprise scale. Reltio’s cloud-native SaaS platform harmonizes, unifies, and governs data across sources and formats—including unstructured data—in real time, turning them into data assets that can be mobilized in milliseconds to any application, user, or AI agent. Trusted by more than 200 of the world’s largest brands across industries such as life sciences, financial services, healthcare, and technology, we fuel frictionless operations and help enterprises accelerate innovation and reduce risk.
At Reltio, our values guide everything we do. With an unyielding commitment to prioritizing our “Customer First”, we strive to ensure their success. We embrace our differences and are “Better Together” as One Reltio. We are always looking to “Simplify and Share” our knowledge when we collaborate to remove obstacles for each other. We hold ourselves accountable for our actions and outcomes and strive for excellence. We “Own It”. Every day, we innovate and evolve, so that today is “Always Better Than Yesterday”. If you share and embody these values, we invite you to join our team at Reltio and contribute to our mission of excellence.
Reltio has earned numerous awards and industry and analyst recognition for our technology, our culture and our people. Reltio was founded on a distributed workforce and offers flexible work arrangements to help our people manage their personal and professional lives. If you’re ready to work on unrivaled technology where your desire to be part of a collaborative team is met with a laser-focused mission to enable digital transformation with connected data, let’s talk!
Job overview
Reltio is scaling a cloud-native, multi-tenant data platform used by global enterprises. We need a Principal Architect to set the end-to-end architecture vision, de-risk the roadmap, and turn strategy into secure, reliable, cost-efficient systems—while upleveling the engineering organization.
Enterprise & Product Architecture:
Define the north-star architecture for a multi-tenant SaaS data platform (ingest → processing → storage → query → API/SDK/UX). Establish reference architectures, decision records, and standards.
Cloud-Native Platform:
Drive container orchestration, service mesh, control planes, observability, and resilience across AWS/Azure/GCP.
Data & Streaming:
Lead designs for high-volume streaming, low-latency query, and analytical/ML use cases (batch + real-time).
AI/ML & Agentic AI:
Partner with product and security to embed responsible LLM/agentic patterns (guardrails, retrieval, evals) into customer-facing and internal developer workflows.
Reliability, Security & Compliance:
Champion SRE/SOC2/ISO/GDPR-by-design, error budgets, threat modeling, and secure SDLC.
Developer Experience:
Improve CI/CD, test strategy, paved roads, and golden paths; reduce cognitive load and toil across teams.
Executive & Customer Influence:
Translate architecture trade-offs for executives and key customers; guide buy-build-integrate decisions.
Key Responsibilities
Set the vision: Author and socialize the product/platform architecture strategy; maintain ADRs and tech radars.
Design at scale:
Lead designs for multi-tenant isolation, data models, schemas, indexing/OLAP, and event-driven systems.
Evolve the platform:
Standardize service meshes, API gateways, policy-as-code, and multi-cloud deployment patterns.
Operational excellence:
Embed SRE practices (SLOs, error budgets, incident learning), capacity planning, and chaos testing.
Security & privacy:
Lead threat models, data classification, encryption, secrets, key management, and SBOM/SLSA controls.
AI architecture:
Define patterns for RAG/agents, prompt & model governance, telemetry, evaluations, and fallbacks.
Mentor & scale:
Coach Staff/Principal engineers and architects; chair architecture reviews; build a healthy review culture.
Executive partnering:
Communicate options/trade-offs to C-suite; align decisions with business value and customer impact.
Customer evangelism:
Join key enterprise conversations; convert requirements into pragmatic designs and phased delivery.
Qualifications
20+ years in product/platform architecture
for large-scale, cloud-native SaaS; recent
Principal/Distinguished Architect
scope leading end-to-end product decisions and migrations across multi-cloud.
Cloud & Kubernetes depth:
EKS/AKS/GKE; service mesh (Istio/Linkerd), observability (Prometheus/Grafana), platform control planes, operators/CRDs. Able to define golden paths/paved roads for teams.
Data platform & streaming expertise:
Kafka/Flink/Spark; columnar/OLAP (Druid, ClickHouse), NoSQL (Cassandra), search (Elasticsearch/Opensearch); real-time + batch patterns.
Microservices & integration at enterprise scale:
API gateways, event-driven design, SOA/EAI (Apache Camel/Mule/WSO2/JBoss Fuse).
AI/ML & Agentic AI in production:
ML pipelines (MLflow/Kubeflow/Airflow) and LLM/agent frameworks (OpenAI APIs, LLaMA, LangChain/LangGraph; tool-use, memory, evals).
Security, privacy, and compliance by design:
threat modeling, data classification, encryption/keys, and
EU GDPR
awareness through real product work.
Executive communication & customer leadership:
converts complex trade-offs into simple choices; partners with CXO/stakeholders globally; architecture evangelism with customers.
C-suite influence & decision facilitation:
runs architecture reviews/SteerCos with crisp options, risk/ROI framing, and written decision records; pre-wires global stakeholders to land decisions quickly.
Customer-back product thinking:
meets enterprises regularly, translates requirements into phased designs (MVP → scale), and defends non-negotiables (SLOs, security, privacy).
Cross-geo orchestration:
proven delivery across US/EU/India time zones; builds async rituals, documentation standards, and handoff mechanisms that raise velocity and quality.
Culture carrier & coaching:
uplevels Staff/Principal engineers, codifies paved roads (CI/CD, testing, observability), and scales architectural patterns via ADRs/radars.
Preferred Qualifications
Multi-cloud platform stewardship:
proven ownership of cross-cloud platforms (e.g., control planes, observability, incident management) and data lake stacks, shipped to enterprise customers.
Cost/performance engineering:
track record reducing infra cost per tenant and improving p95/p99 latency/MTTR via capacity planning, workload placement, and autoscaling patterns.
Programming fluency:
Java/Scala/Python/Go/Rust for credible code-review and reference implementations.
OSS & ecosystem contribution:
prior contributions to relevant frameworks (e.g., Hadoop tuning, NoSQL ORM, Camel/Keycloak) a plus.
Reltio is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Reltio is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities.
Location: Europe
We are toogeza, a Ukrainian recruiting company that is focused on hiring talents and building teams for tech startups worldwide. People make a difference in the big game, and we may help to find the right ones.
Currently, we are looking for an experienced Senior ML Engineer to join one of toogeza’s clients.
Professional qualifications
- 7+ years’ experience in Machine Learning / Data Science, with 3+ years in credit-lending organisations.
- Demonstrated delivery and productionisation of Probability-of-Default (PD) models, credit-limit strategies, fraud-detection, conversion-uplift, and collections-optimisation models.
- Advanced Python proficiency and solid grasp of modern ML algorithms, feature engineering, and model-evaluation best practices.
- Ability to write, structure, and optimise complex SQL queries.
- Deep understanding of the credit lifecycle, especially online lending workflows.
- Proven skill in sourcing, cleansing, and generating features from data sets.
- Comfortable setting up and maintaining modelling environments (local, cloud, or on-prem).
- Detail-oriented, accountable, and committed to both team and individual targets.
- English: Intermediate (B1) or higher.
Preferred / bonus qualifications
- Practical experience with LLM solutions:
- Using commercial APIs (e.g., OpenAI, Anthropic, etc.).
- Self-hosting of open-source models
- Fine-tuning of open-source models.
- Building voice chatbots.
- Building RAG chatbots.
- Experience with Computer Vision models for document or image processing.
- Building ML pipelines and deploying models to production.
- Creating executive dashboards and model reports in Power BI.
Main responsibilities
- Design, train, and deploy probability of default models.
- Build credit-limit strategies.
- Discover and scope AI/ML opportunities that boost efficiency and revenue of the company, including collections optimisation, fraud control, conversion lift, etc.
- Analyse data sources and engineer features for modelling.
- Produce and update internal model documentation.
- Implement model monitoring.
- Plan and execute A/B tests.
- Build Computer Vision pipelines to automate lending workflows.
- Develop LLM-based solutions that streamline internal processes or enhance customer experience.
Expected results
- Implemented probability of default models and credit-limit strategies.
- Launched A/B tests for models that potentially can boost the efficiency and/or revenue of the company.
- Thorough, audit-ready documentation for models.
What We Offer
- Join a fast-scaling FinTech company where your decisions shape the business and your contributions truly matter.
- Enjoy 20 paid days off annually, flexible scheduling, and a supportive, people-first culture.
- Partial compensation for medical insurance, sports activities, and foreign language.
- Work in an international, agile team with ambitious goals, modern tools, and a strong sense of purpose.
Professional qualifications
- 7+ years’ experience in Machine Learning / Data Science, with 3+ years in credit-lending organisations.
- Demonstrated delivery and productionisation of Probability-of-Default (PD) models, credit-limit strategies, fraud-detection, conversion-uplift, and collections-optimisation models.
- Advanced Python proficiency and solid grasp of modern ML algorithms, feature engineering, and model-evaluation best practices.
- Ability to write, structure, and optimise complex SQL queries.
- Deep understanding of the credit lifecycle, especially online lending workflows.
- Proven skill in sourcing, cleansing, and generating features from data sets.
- Comfortable setting up and maintaining modelling environments (local, cloud, or on-prem).
- Detail-oriented, accountable, and committed to both team and individual targets.
- English: Intermediate (B1) or higher.
Preferred / bonus qualifications
- Practical experience with LLM solutions:
- Using commercial APIs (e.g., OpenAI, Anthropic, etc.).
- Self-hosting of open-source models
- Fine-tuning of open-source models.
- Building voice chatbots.
- Building RAG chatbots.
- Experience with Computer Vision models for document or image processing.
- Building ML pipelines and deploying models to production.
- Creating executive dashboards and model reports in Power BI.
Main responsibilities
- Design, train, and deploy probability of default models.
- Build credit-limit strategies.
- Discover and scope AI/ML opportunities that boost efficiency and revenue of the company, including collections optimisation, fraud control, conversion lift, etc.
- Analyse data sources and engineer features for modelling.
- Produce and update internal model documentation.
- Implement model monitoring.
- Plan and execute A/B tests.
- Build Computer Vision pipelines to automate lending workflows.
- Develop LLM-based solutions that streamline internal processes or enhance customer experience.
Expected results
- Implemented probability of default models and credit-limit strategies.
- Launched A/B tests for models that potentially can boost the efficiency and/or revenue of the company.
- Thorough, audit-ready documentation for models.
What We Offer
- Join a fast-scaling FinTech company where your decisions shape the business and your contributions truly matter.
- Enjoy 20 paid days off annually, flexible scheduling, and a supportive, people-first culture.
- Partial compensation for medical insurance, sports activities, and foreign language.
- Work in an international, agile team with ambitious goals, modern tools, and a strong sense of purpose.
Location: Argentina; India; Philippines; Nigeria
APPLICATION INSTRUCTIONS:
If you’ve already completed the 20four7VA Recruiting Process—including the Final Interview—or have previously been contracted by a 20four7VA Client, please make sure to apply via the
20four7VA Team Portal
for faster processing.
Log in using your 20four7VA-issued email address to access the portal.
If you’ve just logged in to the Team Portal, please proceed to review the Independent Contractor Opportunity outlined below.
💡 Quick Tip: Upload your resume first—this will automatically populate most of the fields in the application form. Let the magic happen!
If you're interested in this opportunity, click APPLY TO POSITION to proceed.
********************************************************************
Title
: Independent Contractor –
AI & ML Developer
(Remote).
About 20four7VA
20four7VA is a global leader in providing virtual staffing solutions. We are expanding our technology team to integrate
AI-driven automation
into customer support and ticketing systems. We are seeking a skilled
AI & ML Developer
with expertise in NLP, chatbot development, and intelligent automation.
Work Hours:
20 hrs/week (potential to go full-time)
Schedule:
9:30 AM – 2:30 PM EST (Flexi, preferably weekdays)
Key Responsibilities
1. Natural Language Processing (NLP) & AI Model Development
Design and develop NLP models for chatbots, sentiment analysis, and document processing.
Implement text classification, named entity recognition (NER), summarization, and translation.
Fine-tune and deploy pre-trained LLMs (e.g., GPT-4, BERT, LLaMA, T5).
2. AI-Powered Chatbot Development
Build and deploy intelligent chatbots for
customer support and ticketing automation
.
Implement intent recognition, entity extraction, and context-aware dialogue flows.
Integrate chatbots with WhatsApp, Slack, MS Teams, and WebChat.
Enable
multi-turn conversations
and proactive AI-driven responses.
3. Ticketing System Optimization
Develop AI models for ticket categorization, prioritization, and auto-routing.
Implement AI-powered auto-response generation for FAQs.
Apply reinforcement learning for optimizing resolution workflows.
4. Data Processing & Annotation
Preprocess and clean ticketing logs, chat transcripts, and emails.
Apply tokenization, lemmatization, and embeddings for improved NLP accuracy.
Enhance supervised models through dataset labeling and annotation.
5. API & System Integration
Build APIs for AI-driven chatbot and ticketing automation.
Integrate with CRMs and ITSM tools (e.g., ServiceNow, Zendesk, Freshdesk).
Create
real-time NLP analytics dashboards
for chatbot performance tracking.
6. AI Model Optimization & Evaluation
Conduct A/B testing, hyperparameter tuning, and model benchmarking.
Apply evaluation metrics (F1-score, BLEU, ROUGE, perplexity).
Optimize for low-latency, real-time interactions.
7. Research & Continuous Improvement
Stay updated with the latest in
LLMs, generative AI, and conversational AI
.
Experiment with
Gemini, Claude, Mistral
, and other cutting-edge models.
Contribute to innovation in AI-driven automated support systems.
8. Security, Compliance & Ethics
Ensure compliance with
GDPR, CCPA, HIPAA
(where applicable).
Implement bias detection, fairness, and ethical AI practices.
Secure models against adversarial attacks and vulnerabilities.
9. Collaboration & Documentation
Work with IT, customer support, and automation teams.
Document architectures, workflows, and training pipelines.
Conduct internal training sessions for teams on AI automation tools.
Technologies & Tools
Programming:
Python, Django, Flask
AI/ML:
OpenAI API, Hugging Face Transformers, TensorFlow, PyTorch
Frontend/Integration:
React, REST APIs, Webhooks
Databases:
MySQL, MongoDB, PostgreSQL
Platforms:
NLP/Conversational AI platforms (Dialogflow, Rasa, LangChain, etc.)
Preferred Experience
AI-powered
chat-based support systems
.
Automated
ticketing workflows
using ML.
Hands-on experience with
large-scale chatbot deployments
.
Exposure to
enterprise-level CRM/ITSM integrations
.
Why Join Us?
Opportunity to
steer AI innovation
in global support systems.
Flexible schedule with potential to grow into
full-time role
.
Collaborative remote-first culture with focus on
automation, innovation, and impact
.
УдалённоГеография найма не уточнена
seniorMelbourne, Australia
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.
УдалённоRemote - USA; Diversity not only includes race and gender identity, but also age, disability status, veteran status, sexual orientation, religion and many other parts of one’s identity
seniorГеография найма не уточнена
Hybrid - Sydney
seniorNew York City, New York, United States; By connecting LLMs to high-quality, trustworthy web content, we help developers build agents that are not only intelligent — but also informed
УдалённоLondon, UK
seniorIsrael
United states; proven delivery across US/EU/India time zones; builds async rituals, documentation standards, and handoff mechanisms that raise velocity and quality
United states; proven delivery across US/EU/India time zones; builds async rituals, documentation standards, and handoff mechanisms that raise velocity and quality
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