Location: Canada
What The Role Is
We're hiring a Staff MLE for the Discovery team to own recommendations and personalization across Babylist's consumer experience — the homepage feed, product recs, search, and the ML-powered systems that make registry building feel effortless.
Babylist was built on editorial recommendations: products chosen by people with deep baby gear expertise. That editorial foundation is a big part of why millions of families trust us. We're now building ML-powered personalization on top of it, using one of the richest first-party datasets in parenting.
We're early in this work, and we have a real mandate. A small Discovery team has initial retrieval and reranking models live on parts of the site and a steady cadence of A/B tests. We are looking for a Staff MLE who has seen personalization done well at scale and can set the technical direction for where we go next.
Registry building is the heart of the Babylist product. Every parent builds a list of dozens of products, from swaddle to stroller, with real stakes (a friend or family member is going to buy these things, and a baby is going to use them). As a universal registry, this registry also typically spans many retailers. This makes registry building on Babylist one of the most interesting personalization problems in consumer e-commerce: latent intent, life-stage progression, multi-stakeholder gift dynamics, deep declarative signal in millions of completed registries, cross-retailer datapoints, and a user who genuinely wants help.
If you want to join a mature ML org and tune models at the margins, this isn't the right role. If you've worked inside a strong recommendations team, learned what good looks like, and want to build from zero-to-one at a company earlier in the journey, read on.
What You'll Own
You'll be the technical lead for personalization on the Discovery team, working alongside a PM, Engineering Manager, Senior MLE and fullstack software engineers. You set where our models go over the next year or two, sequence the bets that get there, and stay deep in building. A few examples of the problems you’ll get to shape:
Product recommendations across every surface.
Product detail pages, add-next recommendations after someone adds to their registry, vibes/aesthetic representations of products and the shared models underneath them.
Personalizing the Feed.
Deciding which products, editorial content and social content each family sees, and in what order.
Personalizing search.
Bringing what we know about a family into search results, and helping decide how much search should share retrieval and ranking with recommendations.
Making Addie (our AI registry assistant) better at recs.
Working with the team behind Addie so its product suggestions draw on the same models and signals as the rest of the site.
In practice, you will:
Take a fuzzy business problem from first sketch to production model, and own whether it moved the metric.
Make the modeling and architecture calls that span surfaces and are expensive to reverse.
Design the evaluation, offline and online, that tells us a model is good before and after it ships.
Know when a rule or a simple baseline is the right first step, and when it's time to pursue more advanced approaches.
Partner with product, design and data to help shape what's worth building.
Coach engineers on the team, and more broadly be an ML expert and resource to the wider engineering org.
Who You Are
You’ve shipped recommendation and/or personalization systems that reached real users at scale within a consumer product, and can point to the business impact of your work. You’ve done this within a team that did ML well — you know what good looks like, and are motivated to bring that to a company earlier in their ML journey.
You bring:
Expertise in recommender fundamentals: for example, candidate generation vs. ranking, offline vs. online evaluation, cold start solutions, and handling position and popularity bias.
Fluency in the Python ML stack and comfort owning models through deployment and monitoring, including contributions to our application backend.
An ability to take an ambiguous problem and start moving before anyone hands you the full picture.
A builder's instinct for early-stage ML. You understand effort vs. effectiveness tradeoffs and can advocate for when a rule beats a model, or a model is “good enough” for early learnings.
An outcome and user focused mindset. You measure yourself by business impact, and you can connect a model change to user experience & registry adds, conversion or revenue.
AI-native daily practice. You're already using AI to move faster and improve your output, and you stay curious about what's coming next.
Compensation
We post real numbers. For a Canada-based Staff Engineer, the starting base salary range is 299,300 to 372,600 CAD plus a target annual bonus of 20 percent of base. That's total target cash of roughly 359,160 to 447,120 CAD. On top of that you get meaningful equity and a 401(k) match. Where you start in that range depends on your experience, and your pay grows from there with performance and scope.
How We Build
AI is the default here. Engineers run agentic sessions for most of the work, and a lot of the interesting engineering now lives in the scaffolding that makes the agents good: the eval harnesses, the curated context, custom review skills and fast CI. Agents also triage incidents and handle a big share of support. A human always owns the outcome.
The architecture is intentionally simple: one Rails monolith, MySQL and few moving parts. That's deliberate. Simple infrastructure lets us move fast and lets AI reason about the whole system, so the hardest problems are the ones in front of customers.
The Stack
Core app:
Rails, Packwerk, React, TypeScript, Sidekiq
Mobile:
iOS (Swift), Android (Kotlin)
Data, search & events:
MySQL, Snowflake, dbt, Airflow, Weaviate, WarpStream, Hex, Sigma
Machine learning:
deep learning, matrix factorization, retrieval & ranking, AWS SageMaker, MLflow
AI & dev tooling:
Claude Code, Devin, Linear, CodeRabbit, Warden, LangChain, Bedrock AgentCore, Maxim
Infra & ops:
AWS, Kubernetes, Terraform, GitHub Actions, Datadog, incident.io, LaunchDarkly
Key integrations:
Shopify (payments), Iterable (CRM)
Why Babylist
An engineer, expecting her first baby, couldn't find the registry she wanted. So she built it. That's how Babylist started, and it's still how we work: engineers solving problems for families. Becoming a parent is one of the biggest moments in a person's life. Millions reach it for the first time every year, making thousands of decisions and figuring it out as they go. That's who we build for, and we're a long way from done.
Ten million people give gifts through Babylist every year. We did more than $750M in revenue in 2025, up 45 percent over the year before, and we've been profitable for eight years while staying independent. So you can take on a hard, multi-year problem without watching over your shoulder for the next round or the next correction. And the team is small, around 65 engineers, so what you ship stays visible and your scope stays wide.
How We Work
Remote-first across the US and Canada, and we have been for years. That's not changing. We trust you to own your time and your outcomes, and we get everyone in a room together twice a year. Teams are small, pods of three to five engineers, so nothing you ship disappears into a committee. You'll work shoulder to shoulder with product, design and data, and with the partners across the business who rely on what you ship. You'll also stay close to customers yourself: sitting in on user interviews, watching session recordings, riding along with support. Here that's part of the engineering job, on a regular basis.
How We Hire
Three rounds, usually two to three weeks start to finish.
Recruiter conversation (30 minutes).
Trade context: what you want next, what we're building and straight answers on comp, team and remote.
Technical screen (1 hour).
One round, no AI, language-agnostic. Reach for Google when you normally would. We just want to see how you reason from first principles.
Final round (4 hours).
Four one-hour interviews: system design, AI-assisted coding with the tools you'd actually use here, product sense and culture and values. You'll hear back either way within 24 to 48 hours.
If your timeline is tight, tell us and we'll move faster.
Benefits
Company-paid medical and fully covered dental and vision
A 401(k) match
Generous paid parental leave for birthing and non-birthing parents, plus a gradual return-to-work program
Winter Wonder Week, a paid company-wide week off at the end of the year
A remote-work stipend
Mental-health and wellness support
A Few Things To Know
We record and transcribe interviews to evaluate candidates, in line with applicable privacy laws.
We expect you to use AI in your work and we welcome it in the process, but what you submit and say should reflect your own thinking.
If you have a family member or close relationship with a Babylist employee, let your recruiter know.
Official outreach only ever comes from an @babylist.com address
Location: United States
What The Role Is
We're hiring a Staff MLE for the Discovery team to own recommendations and personalization across Babylist's consumer experience — the homepage feed, product recs, search, and the ML-powered systems that make registry building feel effortless.
Babylist was built on editorial recommendations: products chosen by people with deep baby gear expertise. That editorial foundation is a big part of why millions of families trust us. We're now building ML-powered personalization on top of it, using one of the richest first-party datasets in parenting.
We're early in this work, and we have a real mandate. A small Discovery team has initial retrieval and reranking models live on parts of the site and a steady cadence of A/B tests. We are looking for a Staff MLE who has seen personalization done well at scale and can set the technical direction for where we go next.
Registry building is the heart of the Babylist product. Every parent builds a list of dozens of products, from swaddle to stroller, with real stakes (a friend or family member is going to buy these things, and a baby is going to use them). As a universal registry, this registry also typically spans many retailers. This makes registry building on Babylist one of the most interesting personalization problems in consumer e-commerce: latent intent, life-stage progression, multi-stakeholder gift dynamics, deep declarative signal in millions of completed registries, cross-retailer datapoints, and a user who genuinely wants help.
If you want to join a mature ML org and tune models at the margins, this isn't the right role. If you've worked inside a strong recommendations team, learned what good looks like, and want to build from zero-to-one at a company earlier in the journey, read on.
What You'll Own
You'll be the technical lead for personalization on the Discovery team, working alongside a PM, Engineering Manager, Senior MLE and fullstack software engineers. You set where our models go over the next year or two, sequence the bets that get there, and stay deep in building. A few examples of the problems you’ll get to shape:
Product recommendations across every surface.
Product detail pages, add-next recommendations after someone adds to their registry, vibes/aesthetic representations of products and the shared models underneath them.
Personalizing the Feed.
Deciding which products, editorial content and social content each family sees, and in what order.
Personalizing search.
Bringing what we know about a family into search results, and helping decide how much search should share retrieval and ranking with recommendations.
Making Addie (our AI registry assistant) better at recs.
Working with the team behind Addie so its product suggestions draw on the same models and signals as the rest of the site.
In practice, you will:
Take a fuzzy business problem from first sketch to production model, and own whether it moved the metric.
Make the modeling and architecture calls that span surfaces and are expensive to reverse.
Design the evaluation, offline and online, that tells us a model is good before and after it ships.
Know when a rule or a simple baseline is the right first step, and when it's time to pursue more advanced approaches.
Partner with product, design and data to help shape what's worth building.
Coach engineers on the team, and more broadly be an ML expert and resource to the wider engineering org.
Who You Are
You’ve shipped recommendation and/or personalization systems that reached real users at scale within a consumer product, and can point to the business impact of your work. You’ve done this within a team that did ML well — you know what good looks like, and are motivated to bring that to a company earlier in their ML journey.
You bring:
Expertise in recommender fundamentals: for example, candidate generation vs. ranking, offline vs. online evaluation, cold start solutions, and handling position and popularity bias.
Fluency in the Python ML stack and comfort owning models through deployment and monitoring, including contributions to our application backend.
An ability to take an ambiguous problem and start moving before anyone hands you the full picture.
A builder's instinct for early-stage ML. You understand effort vs. effectiveness tradeoffs and can advocate for when a rule beats a model, or a model is “good enough” for early learnings.
An outcome and user focused mindset. You measure yourself by business impact, and you can connect a model change to user experience & registry adds, conversion or revenue.
AI-native daily practice. You're already using AI to move faster and improve your output, and you stay curious about what's coming next.
Compensation
We post real numbers. For a US-based Staff Engineer, the starting base salary range is $233,500 to $290,700, plus a target annual bonus of 20 percent of base. That's total target cash of roughly $280,200 to $348,840. On top of that you get meaningful equity and a 401(k) match. Where you start in that range depends on your experience, and your pay grows from there with performance and scope.
How We Build
AI is the default here. Engineers run agentic sessions for most of the work, and a lot of the interesting engineering now lives in the scaffolding that makes the agents good: the eval harnesses, the curated context, custom review skills and fast CI. Agents also triage incidents and handle a big share of support. A human always owns the outcome.
The architecture is intentionally simple: one Rails monolith, MySQL and few moving parts. That's deliberate. Simple infrastructure lets us move fast and lets AI reason about the whole system, so the hardest problems are the ones in front of customers.
The Stack
Core app:
Rails, Packwerk, React, TypeScript, Sidekiq
Mobile:
iOS (Swift), Android (Kotlin)
Data, search & events:
MySQL, Snowflake, dbt, Airflow, Weaviate, WarpStream, Hex, Sigma
Machine learning:
deep learning, matrix factorization, retrieval & ranking, AWS SageMaker, MLflow
AI & dev tooling:
Claude Code, Devin, Linear, CodeRabbit, Warden, LangChain, Bedrock AgentCore, Maxim
Infra & ops:
AWS, Kubernetes, Terraform, GitHub Actions, Datadog, incident.io, LaunchDarkly
Key integrations:
Shopify (payments), Iterable (CRM)
Why Babylist
An engineer, expecting her first baby, couldn't find the registry she wanted. So she built it. That's how Babylist started, and it's still how we work: engineers solving problems for families. Becoming a parent is one of the biggest moments in a person's life. Millions reach it for the first time every year, making thousands of decisions and figuring it out as they go. That's who we build for, and we're a long way from done.
Ten million people give gifts through Babylist every year. We did more than $750M in revenue in 2025, up 45 percent over the year before, and we've been profitable for eight years while staying independent. So you can take on a hard, multi-year problem without watching over your shoulder for the next round or the next correction. And the team is small, around 65 engineers, so what you ship stays visible and your scope stays wide.
How We Work
Remote-first across the US and Canada, and we have been for years. That's not changing. We trust you to own your time and your outcomes, and we get everyone in a room together twice a year. Teams are small, pods of three to five engineers, so nothing you ship disappears into a committee. You'll work shoulder to shoulder with product, design and data, and with the partners across the business who rely on what you ship. You'll also stay close to customers yourself: sitting in on user interviews, watching session recordings, riding along with support. Here that's part of the engineering job, on a regular basis.
How We Hire
Three rounds, usually two to three weeks start to finish.
Recruiter conversation (30 minutes).
Trade context: what you want next, what we're building and straight answers on comp, team and remote.
Technical screen (1 hour).
One round, no AI, language-agnostic. Reach for Google when you normally would. We just want to see how you reason from first principles.
Final round (4 hours).
Four one-hour interviews: system design, AI-assisted coding with the tools you'd actually use here, product sense and culture and values. You'll hear back either way within 24 to 48 hours.
If your timeline is tight, tell us and we'll move faster.
Benefits
Company-paid medical and fully covered dental and vision
A 401(k) match
Generous paid parental leave for birthing and non-birthing parents, plus a gradual return-to-work program
Winter Wonder Week, a paid company-wide week off at the end of the year
A remote-work stipend
Mental-health and wellness support
A Few Things To Know
We record and transcribe interviews to evaluate candidates, in line with applicable privacy laws.
We expect you to use AI in your work and we welcome it in the process, but what you submit and say should reflect your own thinking.
If you have a family member or close relationship with a Babylist employee, let your recruiter know.
Official outreach only ever comes from an @babylist.com address
Location: Montreal
DRW
is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk.
Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets.
We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it.
DRW
is a place of high expectations, integrity, innovation and a willingness to challenge consensus.
The Team:
As AI tools drive immense value across the firm, our organization faces a "Dual Mandate": providing low-friction access to the best frontier AI tools while strictly managing an exponentially growing cost curve. The newly formed AI Platform Team owns this unified mission. While the engineering side of our team builds the platform rails, the AI Platform Support & Enablement focus area acts as the crucial "human-in-the-loop." We are dedicated to ensuring high user velocity and frictionless adoption of AI tools while actively managing firm-wide cost efficiency and user education.
The Role:
We are seeking AI Enablement Engineers to own the data plane user experience. You will be the face of AI tooling for the firm, supporting developers and business users who use tools such as Cursor, Devin, ChatGPT, and LibreChat.
Key Responsibilities:
Own the support queue for enterprise generative AI tools. Troubleshoot IDE integrations (Cursor, Devin), chat interfaces, and access issues.
Actively consult with high-spending teams to safely "downshift" their workloads from expensive proprietary models (like Claude Opus) to cheaper mid-tier or internal open-weight models without degrading output quality.
Review manual quota-increase requests triggered by the Management Plane and guide users through spend visibility via internal dashboards.
Identify weaknesses in tooling, prompt engineering, or model routing, and feed user pain points directly to the AI Platform Engineering focus area to inform the technical roadmap.
Promote and evangelize effective, responsible use of enterprise AI tools, for example, by helping users understand and adopt AI 'golden paths', sharing success stories, and leading workshops.
Required Qualifications:
Strong customer-facing communication skills and a "white-glove" support mentality.
Technical fluency in prompt engineering and a deep, practical understanding of current LLM capabilities, behaviors, and limitations.
Familiarity with developer environments, IDEs (VS Code, Cursor) and CLI tools (such as Claude or Codex), is a major plus
Strong context of internal firm culture, user base, and existing support channels.
For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at
https://drw.com/privacy-notice
.
California residents, please review the California Privacy Notice for information about certain legal rights at
https://drw.com/california-privacy-notice
.
#LI-VD1
Location: Remote, Canada; Remote, United States
GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster.
The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems.
Co-create the future with us
as we build technology that transforms how the world develops software.
*
Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab.
An overview of this role
As an Intermediate Fullstack Engineer on GitLab's Subscription Lifecycle team within Monetization, you'll build the frontend experiences and backend services customers use to view and manage subscriptions, renew products, configure auto-renewal, and manage billing accounts. Your work will span renewals, overages and reconciliations, subscription visibility, and budget and reservation management, keeping subscription, billing, and account data accurate and reliable. Because these workflows directly affect revenue, customer access, and financial information, you'll use technical judgment, safe and iterative rollouts, and a high bar for reliability and correctness.
Some examples of our projects:
Building a clear, reliable subscription view across the Customers Portal and related surfaces
Improving manual renewal and auto-renewal flows, including supporting emails, banners, and account experiences
What you'll do
Design and build fullstack features across the post-purchase subscription journey.
Contribute to the technical design and implementation of new subscription lifecycle capabilities.
Partner with Product and Design to translate renewal, billing account, and customer experience requirements into resilient, well-tested solutions.
Integrate subscription lifecycle workflows safely with billing, customer account, and internal admin systems.
Write maintainable, well-tested code and follow engineering practices for rollout safety and monitoring.
Participate in code reviews and provide thoughtful, constructive feedback.
Identify and reduce technical debt and architectural risk in the subscription lifecycle.
Participate in incident response for subscription and renewal issues, given their potential impact on revenue and customer access.
Take part in on-call or operational support where your team’s ownership model requires it.
What you'll bring
Professional experience as a fullstack engineer and confidence working across frontend and backend code.
Our purchase applications use Ruby on Rails (Must have) and Vue.js. (preferred) or React.
Experience owning technical direction for a product area, including proposing, discussing, and driving thorough, iterative solutions.
Experience building or maintaining transactional or checkout-style flows, ideally in a billing, ecommerce, or subscription context.
Familiarity integrating with third-party billing or customer relationship management systems, such as Zuora, Salesforce, or Stripe, is a plus, not a requirement.
A focus on safe, incremental delivery given the revenue and customer impact of this work.
The ability to communicate clearly and concisely about complex technical, architectural, and organizational problems and propose thorough, iterative solutions.
Written and spoken English proficiency sufficient to collaborate in a remote, largely asynchronous work environment.
Alignment with GitLab's values and a commitment to working in accordance with them.
About the team
The Subscription Lifecycle team is part of GitLab's Monetization section and owns the post-purchase subscription experience. You'll partner with Sales, Finance, Information Technology, and Support on secure, reliable purchasing, billing, provisioning, and utilization workflows, and report to the Engineering Manager, Purchase. The team works asynchronously, with regular planning and retrospectives and shared expectations for deployments, incident management, testing, and rollout safety. GitLab's mission is to enable everyone to contribute and co-create the software that powers our world. The Purchase team's mission is to make it as easy as possible for anyone to buy, add on to, or upgrade GitLab through a single, trustworthy, unified purchase experience. For more on how Monetization works, see the
Monetization sub-department handbook
.
How GitLab Supports Full-Time Employees
Benefits to support your health, finances, and well-being
All remote, asynchronous work environment
Flexible Paid Time Off
Team Member Resource Groups
Equity Compensation
and
Employee Stock Purchase Plan
Growth and development budget
Parental leave
Home office support
The base salary range for this role’s listed level is currently for residents of the United States only. This range is intended to reflect the role's base salary rate in locations throughout the US. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location. The base salary range does not include any bonuses, equity, or benefits. See more information on our
benefits
and
equity
. Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary.
United States Salary Range
$115,200
—
$194,400 USD
How GitLab Supports Full-Time Employees
Benefits to support your health, finances, and well-being
Flexible Paid Time Off
Team Member Resource Groups
Equity Compensation & Employee Stock Purchase Plan
Growth and Development Fund
Parental Leave
Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from
underrepresented groups
are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application.
Country Hiring Guidelines:
GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process.
Privacy Policy:
Please review our
Recruitment Privacy Policy.
Your privacy is important to us.
GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also
GitLab’s EEO Policy
and
EEO is the Law
. If you have a disability or special need that requires
accommodation
, please let us know during the
recruiting process
.
Location: United States
Workplace: remote
Sphere Labs
The infrastructure moving the world's money today was built for another era: slow rails, walls between markets, and compliance layered in over time creating friction. Sphere Labs is building what comes next: modern, compliance-native infrastructure for cross-border payments and settlement, designed from the ground up to work for the businesses and regulated institutions it actually runs through. We work in active partnership with banks, licensed entities, and the regulators and jurisdictions shaping how global money moves, because the infrastructure that earns institutional trust has to be built alongside it.
Backed by Coinbase, Kraken, The Chernin Group, Jump Trading, Hudson River Trading, and some of the world's largest sovereign affiliates, we're a fully remote, global team building at the moment stablecoins are crossing into mainstream finance and regulated institutions are ready for modern rails. We hire self-starters: strong communicators and systematic thinkers who can look at a blank page and build something real. If you want a meaningful role in how global money movement evolves, and the upside that comes with getting in early, we'd like to meet you.
What You'll Do
Build internal tooling, automations, and workflows that allow to identify patterns in support volume, reduce manual effort and make the team faster.
Own engineering support end-to-end. You’ll triage incoming issues, diagnose root causes, and resolve them, including writing and shipping code fixes directly when the problem warrants it.
Engage directly with customers in the context of support and communicate clearly on technical issues, timelines, and resolutions.
Partner with product and engineering to define work that makes the platform easier to support: better error messages, smarter observability, improved defaults. Quantify the impact and make the case for prioritization.
Work together with product, engineering towards a product roadmap aiming reducing the number of technical queries received by support.
Collaborate with customer support, onboarding and payment ops teams to ensure workarounds are documented and used by AI to faster customer support.
Own our customer facing documents, ensuring accuracy and usefulness so customers can unblock their own agency
What We're Looking For
Leveraged mindset. You are able to find the best solution for a given problem that balances expediency and future-proofing.
Strong programming fundamentals and comfort working across the stack. You can read production code, trace a bug through logs, and ship a fix without a lot of handholding.
Proficient in TypeScript, React and NestJS.
Experience with API integrations, webhooks, and cloud platforms.
Excellent written communication. You can explain a technical issue precisely to a developer and clearly to a non-technical stakeholder, without losing accuracy in either direction.
Self-directed and high ownership. You can manage an open queue, triage by impact, and keep things moving asynchronously across time zones.
Familiarity with observability tooling (Sentry, structured logging, distributed tracing) is a plus.
Experience in fintech, payments, or developer-facing products is a plus.
Why Sphere?
We sit at the intersection of crypto infrastructure and regulated finance — at the moment those worlds are finally converging. That means:
The window is now: For the first time in decades, the backbone of cross-border payments is being rebuilt. Legacy systems are fading, stablecoins are entering institutional finance, and the next settlement layer is being shaped right now. We're building it alongside the institutions that will run it, not around them.
High ownership, no playbook: This is early-stage work. You’ll be making decisions, building processes from scratch, and setting the direction instead of just following one. We’re looking for people who don’t wait for instructions, but jump in and figure things out.
Adaptability is the job: Strategy pivots here aren't failures, they're how we stay ahead of a fast-moving market and that’s our strength.
Real traction, real stakes: SpherePay is live and trusted by 200+ businesses. SphereNet is in active development with banks and regulators across 18 jurisdictions and counting. There’s real demand, real momentum, and a huge opportunity to shape what comes next.
Location: Chicago, New York City
DRW
is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk.
Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets.
We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it.
DRW
is a place of high expectations, integrity, innovation and a willingness to challenge consensus.
The Team:
As AI tools drive immense value across the firm, our organization faces a "Dual Mandate": providing low-friction access to the best frontier AI tools while strictly managing an exponentially growing cost curve. The newly formed AI Platform Team owns this unified mission. While the engineering side of our team builds the platform rails, the AI Platform Support & Enablement focus area acts as the crucial "human-in-the-loop." We are dedicated to ensuring high user velocity and frictionless adoption of AI tools while actively managing firm-wide cost efficiency and user education.
The Role:
We are seeking AI Enablement Engineers to own the data plane user experience. You will be the face of AI tooling for the firm, supporting developers and business users who use tools such as Cursor, Devin, ChatGPT, and LibreChat.
Key Responsibilities:
Own the support queue for enterprise generative AI tools. Troubleshoot IDE integrations (Cursor, Devin), chat interfaces, and access issues.
Actively consult with high-spending teams to safely "downshift" their workloads from expensive proprietary models (like Claude Opus) to cheaper mid-tier or internal open-weight models without degrading output quality.
Review manual quota-increase requests triggered by the Management Plane and guide users through spend visibility via internal dashboards.
Identify weaknesses in tooling, prompt engineering, or model routing, and feed user pain points directly to the AI Platform Engineering focus area to inform the technical roadmap.
Promote and evangelize effective, responsible use of enterprise AI tools, for example, by helping users understand and adopt AI 'golden paths', sharing success stories, and leading workshops.
Required Qualifications:
Strong customer-facing communication skills and a "white-glove" support mentality.
Technical fluency in prompt engineering and a deep, practical understanding of current LLM capabilities, behaviors, and limitations.
Familiarity with developer environments, IDEs (VS Code, Cursor) and CLI tools (such as Claude or Codex), is a major plus
Strong context of internal firm culture, user base, and existing support channels.
The annual base salary range for this position is $175,000 to $225,000 depending on the candidate’s experience, qualifications, and relevant skill set. The position is also eligible for an annual discretionary bonus. In addition, DRW offers a comprehensive suite of employee benefits including group medical, pharmacy, dental and vision insurance, 401k (with discretionary employer match), short and long-term disability, life and AD&D insurance, health savings accounts, and flexible spending accounts.
For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at
https://drw.com/privacy-notice
.
California residents, please review the California Privacy Notice for information about certain legal rights at
https://drw.com/california-privacy-notice
.
#LI-VD1
Location: Tel Aviv
Via is on a mission to create public transportation systems that provide far greater access to jobs, healthcare, and education. Our platform serves as the technology backbone for modern transit networks, transforming antiquated and siloed public transportation systems into smart, data-driven, and efficient digital networks. With hundreds of agency partners around the world, Via is recognized as the leading transportation technology and service provider globally.
As an
Algorithms Developer
at Via, you will play a central role in shaping how millions of riders and drivers move through our cities every day. Our team turns complex, multi-dimensional operational challenges into real-time optimization that powers Via’s mass-scale automated dispatch system. You will explore rich, diverse data sets, develop algorithms that make smart decisions at scale, and have a direct impact on the efficiency, reliability, and quality of our service. This is an opportunity to combine deep technical expertise with real-world operational impact at global scale.
About the Role:
Model and mathematically represent competing demands on Via’s system to enable scalable, real-time decision-making.
Develop online algorithms for real-time decision-making, focusing on optimizing system utilization while maintaining a high quality of service for riders.
Design and implement highly efficient and scalable algorithmic solutions to power decision-making systems under large-scale, real-world operational demands.
Collaborate closely with engineering, product, and operations teams to translate complex algorithmic insights into practical, impactful solutions.
About You:
Advanced degree (M.Sc. or PhD) in Computer Science, Mathematics, Physics, or a related field.
Significant research background and hands-on experience developing algorithms
3–4+ years of experience implementing algorithms in practical, production-scale systems.
Analytical thinker who can extract the essential elements of complex, real-world problems and convert them into actionable models.
Hands-on coder with experience in Python (or similar) and the ability to turn ideas into working solutions.
Naturally curious, fast-learning, and collaborative, with strong interpersonal and communication skills.
Compensation and Benefits
Joining a global employer with over 700 mobility deployments in 40+ countries.
Our product impacts millions of users around the world providing alternative transport solutions that are more: efficient and accessible, changing cities to make them greener.
Competitive compensation package which includes base salary and stock options.
Health insurance with a discount for family members.
Hybrid work and a lovely office situated in the heart of TLV, in Midtown, close to the light rail and train station.
Career development and growth opportunities.
Other perks: Freefit and other sports lessons, 10bis/Cibus - you choose!, happy hours, team events, communities and many more benefits.
There has never been a more exciting time to be on the cutting edge of public mobility. Ready to join the ride?
Via is an equal opportunity employer.
Location: Bangalore, India
GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster.
The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems.
Co-create the future with us
as we build technology that transforms how the world develops software.
*
Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab.
An overview of this role
As a Software Engineer on GitLab's Authorization team, you'll help build and maintain the system that decides what every user, token, and automated agent can access on GitLab.com, Self-Managed, and Dedicated. You'll work alongside experienced engineers who guide the larger design decisions, delivering well-scoped changes and growing into ownership of larger parts of the system.
Today, that work is Ruby on Rails. Roughly 400 policy classes and a catalog of about 1,900 permissions sit behind every application programming interface (API) request. You'll work on fine-grained token permissions, custom roles, and the GraphQL and representational state transfer (REST) APIs that enforce them. A single request can trigger hundreds of permission checks, so correctness and performance both matter.
You'll also contribute to moving the permission model to a new authorization stack that pairs the Rails monolith with a Rust policy engine. The engine represents access relationships and evaluates permission rules, and can run within the monolith's process or be reached through remote procedure calls using gRPC. You don't need prior Rust experience: several engineers on the team learned it for this work, and we'll support you doing the same.
Some examples of our projects:
Refactoring GitLab's policy layer so the same permission definitions can be evaluated by the monolith and the new authorization service
Extending fine-grained token permissions to more resources, with guidance from senior engineers on the design
What you'll do
Implement authorization changes in GitLab's Ruby on Rails monolith so permission checks allow intended access and deny unauthorized access.
Deliver well-scoped workstreams from feature-flagged rollout through verifying that the old and new systems produce the same results, with review and guidance from senior engineers.
Build and extend fine-grained permissions for tokens and roles so additional resources have permission coverage consistent with the established catalog.
Extend and fix authorization enforcement so GraphQL and the REST API enforce the intended permissions consistently.
Make incremental refactors to long-lived policy code without changing behavior for existing customers.
Investigate and fix reliability, performance, and security issues so affected permission checks return the expected results without regressions.
Work with the authentication, platform, and artificial intelligence (AI) teams to document interface contracts that keep permission checks consistent as authorization moves toward a shared service.
Contribute to design documents, merge requests, and code reviews so proposed changes have a documented rationale and review feedback is addressed asynchronously.
Take part in on-call or operational support where your team’s ownership model requires it.
What you'll bring
Solid experience building and maintaining production Ruby on Rails applications, typically gained over 2 to 4 years or more.
Hands-on experience with authorization concepts, such as role-based access control or fine-grained permissions, from work or projects.
A security mindset: you treat a permission bug as a security bug and consider who a change could affect before choosing an implementation.
Experience making careful changes to existing codebases, including incremental refactors and feature-flagged rollouts that preserve existing behavior.
Familiarity with GraphQL or API authorization patterns.
Awareness of performance, including how repeated permission checks can add up on every request.
Strong written communication and the ability to work effectively when most decisions happen in a document or merge request rather than a meeting.
Helpful, but not required: hands-on PostgreSQL experience, or experience with Rust, gRPC or Protocol Buffers, Cedar or other policy languages, Zanzibar-style authorization systems, Go, or service-oriented architecture.
We welcome transferable experience from adjacent domains such as identity, policy engines, and platform security.
About the team
We work in a fully asynchronous organization, with most decisions made in documents or merge requests rather than meetings.
GitLab's mission is to enable everyone to contribute to and co-create the software that powers our world. Our values include collaboration, results, efficiency, diversity, inclusion and belonging, iteration, and transparency. We expect all GitLab team members to incorporate AI into their daily workflows to drive efficiency, innovation, and impact.
How GitLab Supports Full-Time Employees
Benefits to support your health, finances, and well-being
Flexible Paid Time Off
Team Member Resource Groups
Equity Compensation & Employee Stock Purchase Plan
Growth and Development Fund
Parental Leave
Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from
underrepresented groups
are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application.
Country Hiring Guidelines:
GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process.
Privacy Policy:
Please review our
Recruitment Privacy Policy.
Your privacy is important to us.
GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also
GitLab’s EEO Policy
and
EEO is the Law
. If you have a disability or special need that requires
accommodation
, please let us know during the
recruiting process
.
Location: Kazakhstan; Armenia; Serbia
We are looking for an Accounting Methodology & Automation Manager to join our Finance team and support the Group's ERP implementation and ongoing business transformation.
In this role, you will work at the intersection of accounting, finance, business and IT. You will translate business requirements and changes into accounting methodology, define how accounting processes should work in ERP and 1C, and collaborate with developers and business analysts to automate them.
Job Responsibilities
Develop and maintain accounting methodology for the Group's business models, including merchant and agency models (net / gross), prepayment and postpayment, B2B and B2C transactions across hotels, air, rail, transfers and ancillary services;
Design accounting rules, posting logic and chart-of-accounts requirements, defining the data needed to automate accounting processes in ERP and 1C;
Translate business scenarios, new products and process changes into accounting requirements and technical specifications for developers and business analysts;
Define data sources, field mappings, document flows and reconciliation logic, including the handling of corrections and disputes;
Collaborate with IT, product teams, business analysts and other stakeholders to implement and improve accounting processes;
Ensure that automated accounting entries are aligned with supplier and partner settlements, as well as intercompany balances;
Analyse the accounting implications of new products, contracts and system changes under IFRS, with a particular focus on IFRS 15;
Design and improve intercompany accounting and settlement processes between Group entities;
Support ERP implementation and rollout to new entities, including accounting methodology, migration rules and process standardisation;
Review supplier, partner and intercompany contracts from an accounting and VAT perspective, identifying potential improvements to invoicing and payment processes;
Support operational accountants on methodological matters and perform user acceptance testing (UAT) of automated accounting processes before go-live.
Requirements
A degree in Accounting, Finance, Economics or a related field;
At least 5 years of experience in accounting, including 2+ years in accounting methodology, accounting process automation or accounting systems implementation;
Solid knowledge of IFRS, particularly IFRS 15, including revenue recognition and principal-versus-agent considerations;
Practical experience working with ERP systems or 1C, with an understanding of accounting logic, posting rules and document flows — beyond day-to-day system usage;
Experience translating business requirements into accounting methodology and technical specifications for developers or business analysts;
Understanding of how accounting processes and data flows are organised and automated across different systems;
Practical experience with SQL or writing queries to retrieve and analyse data would be an advantage;
Understanding of APIs and system integrations;
Strong analytical skills and confidence working with large data sets in Excel, including pivot tables and lookup functionsl
Ability to work independently, manage project timelines and deliver results;
Excellent communication skills and the ability to explain complex accounting matters to both finance and technical teams;
Language proficiency: Upper-Intermediate English (B2) or higher; other languages are a plus.
Benefits
Flexible schedules and opportunity to work remotely;
Ambitious and supportive team who love what they do, appreciate each other, and grow together;
Internal programs for adaptation and training, development of soft skills, and leadership abilities;
Partial compensation for participating in external training and conferences;
Corporate English school: Group and individual lessons, speaking clubs with colleagues from all over the world;
Corporate prices on hotels and travel services;
MyTime Day Off - an extra non-working day without loss of compensation.
Learn more about our data protection practices in our Privacy Policy:
https://emergingtravel.notion.site/recruitment-privacy-notice.
Location: Canada
What the Role Is
We’re hiring a
Staff Software Engineer
who’ll be the technical lead for a new Search team at Babylist. This new team will be focused on moving Babylist’s search capability in-house, making our search results more relevant and personalized, and partnering with other teams to transform search in the product from functional to delightful.
Registry building is the heart of the Babylist product. Every parent builds a list of dozens of products, from swaddle to stroller, with real stakes (a friend or family member is going to buy these things, and a baby is going to use them). As a universal registry, this registry also typically spans many retailers. This makes registry building on Babylist one of the most interesting search and personalization problems in consumer e-commerce.
This is zero-to-one work, with big ambitions. You’d build a search capability from the ground up, with a clear mandate from leadership to do it. In your first year, we expect to have rebuilt search to be highly relevant and personalized, and delivered big bets like universal search: one experience across items we sell and items from other retailers, and across products, guides and registries. We also want to work with Addie, our AI registry assistant, to have LLMs play a role in the search experience.
If you want to tune an established search system, this isn’t the right role. If you’ve worked inside a strong search team and want to build a new system from scratch at a company earlier in that journey, read on.
What You'll Own
A Staff Engineer at Babylist sets direction. You’ll be the technical lead for search: you decide where it goes over the next year or two, sequence the bets that get there, and make the technical and product calls along the way. You’re still in the code and will drive initiatives forward across multiple teams. You’ll have software engineering and machine learning engineering support on the team.
A few examples of initiatives you’d drive on the Search team:
Build search in-house.
Choose the architecture for indexing, retrieval and serving, and plan a seamless migration. The system you design replaces what we use today and is the foundation for everything below.
Define what a good result is.
Decide how we measure result quality, then improve it through query understanding, ranking and the behavioral signals we collect.
Unify search across everything we show.
One experience across items we sell and items from other retailers, and across products, guides and registries, including how to rank items we don’t sell next to ones we do.
Decide how search and recommendations fit together.
Bring what we know about a user and their registry into results, and decide how much retrieval and ranking search shares with our recommendation models.
Make search conversational.
Work with the Addie team, our AI registry assistant, on queries like “best stroller for urban family,” where the shopper describes a need instead of naming a product.
Like every Staff Engineer here, you will:
Take a fuzzy business problem from the first sketch through to production, and stay on the hook for whether it actually helped customers.
Build the platform or tooling other teams adopt by choice, and own it as it scales.
Set the standard for how search builds with AI. Decide what good looks like, build the patterns and evals that get agents there and catch the output that's confidently wrong before it ships.
Partner with product, design and data as a peer, shaping what's worth building from the start.
Coach Senior engineers through the hard calls, the ambiguous ones as much as the technical ones
Who You Are
You meet the Staff bar at Babylist. You’ve shipped production systems for enough years to have earned strong opinions, and you hold them loosely. You can pick up an ambiguous problem and start moving before anyone hands you the full picture. You’ve already changed how a team builds with AI, and the new way stuck.
On top of that, you’ve worked on search problems before, ideally in an e-commerce setting. This role needs depth in the systems behind search and a clear focus on the people using it. You bring:
Hands-on search experience:
building and running search in production, including indexing, retrieval, ranking and query understanding. You know how to keep a search service fast, relevant and reliable as traffic and catalog size grow.
Experience evaluating search quality:
offline and online, including relevance judgments and A/B tests.
A focus on the user:
you use query data, behavior and judgment about result quality to decide what to build, and you can connect a search change to what shoppers do, and to conversion or revenue.
Comfort building from zero:
you can define the problem, design the system and own it end to end.
You measure yourself by impact:
a customer outcome, or a system a dozen teams come to depend on.
Compensation
We post real numbers. For a Canada-based Staff Engineer, the starting base salary range is $299,300 to $372,600 CAD, plus a target annual bonus of 20 percent of base. That's total target cash of roughly $359,160 to $447,120 CAD. On top of that you get meaningful equity and an RRSP match. Where you start in that range depends on your experience, and your pay grows from there with performance and scope.
How We Build
AI is the default here. Engineers run agentic sessions for most of the work, and a lot of the interesting engineering now lives in the scaffolding that makes the agents good: the eval harnesses, the curated context, custom review skills and fast CI. Agents also triage incidents and handle a big share of support. A human always owns the outcome.
The architecture is intentionally simple: one Rails monolith, MySQL and few moving parts. That's deliberate. Simple infrastructure lets us move fast and lets AI reason about the whole system, so the hardest problems are the ones in front of customers.
The Stack
Core app:
Rails, Packwerk, React, TypeScript, Sidekiq
Mobile:
iOS (Swift), Android (Kotlin)
Data, search & events:
MySQL, Snowflake, dbt, Airflow, Weaviate, WarpStream, Hex, Sigma
Machine learning:
deep learning, matrix factorization, retrieval & ranking, AWS SageMaker, MLflow
AI & dev tooling:
Claude Code, Devin, Linear, CodeRabbit, Warden, LangChain, Bedrock AgentCore, Maxim
Infra & ops:
AWS, Kubernetes, Terraform, GitHub Actions, Datadog, incident.io, LaunchDarkly
Key integrations:
Shopify (payments), Iterable (CRM)
Why Babylist
An engineer, expecting her first baby, couldn't find the registry she wanted. So she built it. That's how Babylist started, and it's still how we work: engineers solving problems for families. Becoming a parent is one of the biggest moments in a person's life. Millions reach it for the first time every year, making thousands of decisions and figuring it out as they go. That's who we build for, and we're a long way from done.
Ten million people give gifts through Babylist every year. We did more than $750M in revenue in 2025, up 45 percent over the year before, and we've been profitable for eight years while staying independent. So you can take on a hard, multi-year problem without watching over your shoulder for the next round or the next correction. And the team is small, around 65 engineers, so what you ship stays visible and your scope stays wide.
How We Work
Remote-first across the US and Canada, and we have been for years. That's not changing. We trust you to own your time and your outcomes, and we get everyone in a room together twice a year. Teams are small, pods of three to five engineers, so nothing you ship disappears into a committee. You'll work shoulder to shoulder with product, design and data, and with the partners across the business who rely on what you ship. You'll also stay close to customers yourself: sitting in on user interviews, watching session recordings, riding along with support. Here that's part of the engineering job, on a regular basis.
How We Hire
Three rounds, usually two to three weeks start to finish.
Recruiter conversation (30 minutes).
Trade context: what you want next, what we're building and straight answers on comp, team and remote.
Technical screen (1 hour).
One round, no AI, language-agnostic. Reach for Google when you normally would. We just want to see how you reason from first principles.
Final round (4 hours).
Four one-hour interviews: system design, AI-assisted coding with the tools you'd actually use here, product sense and culture and values. You'll hear back either way within 24 to 48 hours.
Benefits
Company-paid medical and fully covered dental and vision
A 401(k) match
Generous paid parental leave for birthing and non-birthing parents, plus a gradual return-to-work program
Winter Wonder Week, a paid company-wide week off at the end of the year
A remote-work stipend
Mental-health and wellness support
A Few Things to Know
We record and transcribe interviews to evaluate candidates, in line with applicable privacy laws.
We expect you to use AI in your work and we welcome it in the process, but what you submit and say should reflect your own thinking.
If you have a family member or close relationship with a Babylist employee, let your recruiter know.
Official outreach only ever comes from an @babylist.com address
Location: London, United Kingdom
Workplace: none
About InvestEngine
InvestEngine is everything the modern investor should need. Unbeatable value, market-leading automation, and built for easy, long-term investing. We’ve built a strong foundation, have over £2 billion invested, award-winning service, and a passionate team, now we’re ready to scale.
About the Role
We’re looking for a Senior Product Manager, Payments to join our Product team, reporting to the Head of Product, Backoffice. Your mission is to make moving money into and out of InvestEngine as seamless as possible, using technology and strong partnerships to deliver reliable, scalable payment experiences, automate processes and power our marketing promotions.
You’ll work closely with engineering, operations, customer experience, compliance and marketing, as well as our payment partners, and have the autonomy to own solutions from end to end.
What You’ll Do
Product strategy and delivery
Own the vision, strategy and roadmap for our money-in and money-out payment rails and our promotions engine
Lead discovery and delivery of new payment functionality, from identifying opportunities through to launch and measurement
Identify and automate manual processes and customer journeys to improve efficiency, reliability and the customer experience
Work with engineering to deliver scalable integrations and manage dependencies across payments, trading and reconciliation
Partners and stakeholders
Own product relationships with our payment partners, including TrueLayer and GoCardless, aligning roadmaps, resolving issues and spotting opportunities to innovate
Own and develop the promotions engine that powers our marketing campaigns, working closely with Marketing
Work with Operations, Customer Experience and Compliance so journeys are practical, well controlled and deliver good customer outcomes
Communicate priorities, trade-offs and progress to stakeholders and senior leadership
Risk and commercial impact
Balance innovation and speed with payment reliability, operational risk and regulatory requirements
Build business cases for investment, considering customer value, cost and operational impact
Monitor the payments market and identify opportunities to improve our proposition
What We’re Looking For
Solid product management experience, including ownership of complex payment products or journeys (e.g. Open Banking, Direct Debit, Faster Payments, payouts)
A track record of delivering new payment functionality and integrating with third-party providers
Experience automating manual processes and customer journeys, with measurable improvements
Strong experience managing external partners, aligning priorities and influencing roadmaps
Ability to work closely with engineers on integrations and dependencies across multiple systems
Confident using data to prioritise, build business cases and measure outcomes
Sound judgement in balancing customer experience, commercial value, operational risk and control
Strong communication and stakeholder management skills
English fluency (C1 level and above)
Nice to Have
Fintech or investing experience, particularly how payments connect to trading and reconciliation
Experience with promotions, incentives, rewards or referral platforms
Practical use of AI in your product work
How We Work
We’re a lean, fast-moving team that values clarity, ownership, and transparency. You’ll have the freedom to experiment, the responsibility to follow through, and the backing of a team that values clear thinking and open dialogue. We believe in solving problems at the root, not just treating the symptoms.
What We Offer
Impact from day one
You’ll own a critical part of the customer experience and see the results of your work quickly.
Room to grow
As we scale, you’ll have opportunities to expand your responsibilities, influence how we work, and help shape our long-term direction.
Transparent and open culture
We share decisions openly, keep communication channels clear, and encourage collaboration across every part of the business.
Supportive, high-calibre team
Work alongside talented professionals who are experts in their fields — smart, driven, and generous with their knowledge.
Hybrid and flexible
Hybrid working from our London office, with a focus on results, not rigid hours.
Our Hiring Process
Introductory call with our Talent team
Interview with the hiring manager focused on your payments and product experience
Product case discussion
Senior leadership interview to explore alignment with our culture, values and strategic direction
Location: Remote, Canada; Remote, United States
GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster.
The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems.
Co-create the future with us
as we build technology that transforms how the world develops software.
*
Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab.
As an Intermediate Backend Engineer on the GitLab Orbit team, you'll help build and operate a graph data service that supports GitLab Duo agents, analytics, and architecture-level features across GitLab.com, Dedicated, and Self-Managed deployments. You'll join a Rust-first team that values clear ownership, thoughtful system design, and rigorous thinking about data and reliability.
The Knowledge Graph service is a Rust backend that builds a property graph from GitLab’s software development lifecycle (SDLC) and code data. It uses ClickHouse, NATS JetStream, and the Data Insights Platform. It exposes secure graph queries and MCP tools used by AI agents and product features. In this role, you’ll deliver features and improvements in well-scoped areas, learn the broader architecture, and contribute to reliability, observability, and operational readiness.
In your first year, you’ll take clear ownership of specific components or features (for example, parts of the SDLC indexing pipeline or query paths). You’ll help reduce single points of failure with better tests and runbooks, and you’ll help the team ship analytical services that are easier to maintain and evolve over time.
What you’ll do
Implement and iterate on backend features in the Rust-based Knowledge Graph service, including changes to the query engine, SDLC and code indexing flows, and API endpoints (including MCP endpoints) under guidance from senior and staff engineers.
Maintain integrations between Knowledge Graph and the rest of the GitLab platform, working in areas that touch GitLab Rails, the Data Insights Platform (Siphon, NATS, ClickHouse), and GitLab Duo Agent Platform.
Contribute to system design discussions by proposing options, raising questions, and documenting decisions, with a focus on reliability, scalability, and maintainability for analytical graph workloads.
Improve the operational maturity of the service by adding or enhancing metrics, logging, runbooks, alerts, and small readiness tasks, and by participating in on-call rotation as appropriate for your level and experience.
Collaborate asynchronously with product, data, infrastructure, security, and AI counterparts to clarify requirements, align on scope, and ship features safely for customers and sustainably for the team.
Use AI-assisted development workflows responsibly (for example, using Knowledge Graph-backed agents and internal Duo tooling), and share what works with the team while keeping a strong focus on code quality and correctness.
Participate in code reviews, knowledge-sharing sessions, and pairing to both learn from others and help maintain consistent standards across the codebase.
Contribute across the stack when needed, including occasional Ruby work for Rails integration and authorization paths, or small frontend changes related to Knowledge Graph features (for example, Software Architecture Map UI plumbing).
Take part in on-call or operational support where your team’s ownership model requires it.
What you’ll bring
Professional experience building and maintaining backend systems in production, with an understanding of reliability, maintainability, and how to support services over time (for example, incident response and follow-ups).
Proficiency in at least one modern backend language and strong interest in Rust, with either prior Rust experience or clear evidence you can ramp quickly and deliver in a Rust-first, performance-sensitive codebase.
Some exposure to distributed data or analytics systems (for example, OLAP databases, Kafka- or NATS-style messaging, or change data capture (CDC) pipelines), or strong motivation to develop those skills in this role.
Interest in graph data modeling and query patterns (property graphs, multi-step (n-hop) traversals, aggregations), and willingness to learn the tools and concepts used in Knowledge Graph over time.
Practical experience (or strong interest) using AI tools in day-to-day development, along with a thoughtful approach to validating outputs and integrating AI into your workflow.
A language-agnostic mindset and evidence that you can pick up new languages and frameworks as needed (for example, Ruby, Go, or TypeScript/Vue where the work touches adjacent systems).
Solid fundamentals in system design for your level, including the ability to reason about trade-offs, ask good questions, and align your implementation work with documented architectural decisions.
Comfort working in a low-process, high-ownership environment where you take responsibility for your work, refine problem statements with teammates, and communicate progress clearly in writing across time zones in an all-remote team.
About the team
GitLab Orbit sits within the Data Engineering organization. We work closely with partners across AI (Duo Agent Platform), analytics, infrastructure and delivery, and security because our work spans many parts of the platform.
We collaborate asynchronously rather than following a feature factory model. A key challenge for us right now is scaling sustainably as usage grows and team members take time off. That includes hardening multi-tenant behavior. At the same time, we're bringing Knowledge Graph to
The base salary range for this role’s listed level is currently for residents of the United States only. This range is intended to reflect the role's base salary rate in locations throughout the US. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location. The base salary range does not include any bonuses, equity, or benefits. See more information on our
benefits
and
equity
. Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary.
United States Salary Range
$115,200
—
$162,000 USD
How GitLab Supports Full-Time Employees
Benefits to support your health, finances, and well-being
Flexible Paid Time Off
Team Member Resource Groups
Equity Compensation & Employee Stock Purchase Plan
Growth and Development Fund
Parental Leave
Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from
underrepresented groups
are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application.
Country Hiring Guidelines:
GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process.
Privacy Policy:
Please review our
Recruitment Privacy Policy.
Your privacy is important to us.
GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also
GitLab’s EEO Policy
and
EEO is the Law
. If you have a disability or special need that requires
accommodation
, please let us know during the
recruiting process
.
Location: San Francisco, CA, USA
About the role
Chime Engineering is growing rapidly as we scale to support the financial needs of our members. We are looking for driven engineers to join our Membership team, where you'll work across the full stack, building and evolving the features that deepen member engagement, drive retention, and deliver ongoing value through Chime's membership experience. You will own projects end-to-end, from shaping architecture and designing APIs to building polished front-end experiences and maintaining the ongoing health of the code.
In this role, you can expect to
Design, develop, test, and scale features across backend services and front-end surfaces that power membership benefits, rewards, and engagement experiences
Build and iterate on APIs and UI components that deliver a seamless, high-quality member experience in Chime's mobile app
Partner with product, design, data science, and cross-functional stakeholders to understand member needs, define experiments, and ship solutions that move key membership metrics
Apply a metrics-driven mindset to decision-making and prioritize efforts based on member and business impact
Proactively identify opportunities to improve system reliability, performance, and scalability across the stack
Contribute to a culture of technical excellence through mentorship, code reviews, and driving best practices
To thrive in this role, you have
5+ years developing software in a production environment at scale
Proven experience with Ruby on Rails or comparable frameworks
Proficiency with modern front-end technologies (e.g., React, React Native, or TypeScript-based frameworks)
A product mindset with a strong bias toward experimentation, iteration, and measuring impact
A collaborative spirit and strong communication skills, with experience working cross-functionally
Experience working with transactional databases, caching systems, and API design
Comfort working across the stack and a desire to understand how all the pieces fit together
Experience with experimentation frameworks and data-driven product development is a plus
#LI-Onsite #LI-SL1
Below is the base salary offered for this role and level of experience. Full-time employees may also be eligible for bonus(es), competitive equity, and benefits. For commissioned roles, the base salary listed in this job description does not include incentive/variable pay. The actual base salary offered may be higher, depending on your location, skills, qualifications, and experience.
Wage Notice
$164,000
—
$227,000 USD
A little about us
At Chime, we believe that everyone can achieve financial progress. We created Chime—a financial technology company, not a bank*—on the premise that core banking services should be helpful, easy, and free. Through our user-friendly tools and intuitive platforms, we empower our members to take control of their finances and work towards their goals. Whether it's starting a savings account, purchasing a first car or home, launching a business, or pursuing higher education, we're proud to have helped millions unlock their financial potential.
We're a team of problem solvers, dreamers, and builders with one shared obsession: our members. From day one, Chimers have worked tirelessly to out-hustle and out-execute competitors to bring our mission to life. Their grit and determination inspire us to work harder every day to deliver the very best experience possible. We each bring an owner's mindset to our work, refusing to be outdone and holding ourselves accountable to meet and exceed the highest bars for our teams, our company, and our members.
We believe in being bold, dreaming big, and taking risks, while also working together, embracing our diverse perspectives, and giving each other honest feedback. Our culture remains deeply entrepreneurial, encouraging every Chimer to see themselves as stewards of our mission to help everyday Americans unlock their financial progress.
We know that to achieve our mission, we must earn and keep people's trust—so we hold ourselves to the highest standards of integrity in everything we do. These aren't just words on a wall—our values are embedded in every aspect of our business, serving as a north star that guides us as we work to help millions achieve their financial potential.
Because if we don't—who will?
*Chime is a financial technology company, not a bank. Banking services provided by The Bancorp Bank, N.A. or Stride Bank, N.A., Members FDIC.
What we offer for our full-time, regular employees
🏢 Our in-office work policy is designed to keep you connected - with four days a week in the office and Fridays from home for those near one of our offices, plus team and company-wide events depending on location.
💻 Benefits that support your work and life, including backup child, elder, and pet care and subsidized commuter benefits for eligible employees.
✨ Comprehensive health, financial, and wellbeing benefits designed to support you at every stage of life.
🏝 Generous vacation policy and company-wide paid days off
🫂 1% of your time off to support local community organizations of your choice
👟 Annual wellness stipend to use towards eligible wellness related expenses
👶 Up to 22 weeks of paid parental leave for birthing parents and 12 weeks of paid parental leave for non-birthing parents
👪 Access to family planning reimbursement
💚 A challenging and fulfilling opportunity to join one of the most experienced teams in FinTech and help millions unlock financial progress
We know that great work can’t be done without a diverse team and inclusive environment. That’s why we specifically look for individuals of varying strengths, skills, backgrounds, and ideas to join our team. We believe this gives us a competitive advantage to better serve our members and helps us all grow as Chimers and individuals.
Chime is proud to be an Equal Opportunity Employer. We consider qualified applicants without regard to race, color, ancestry, religion, sex, national origin, sexual orientation, gender identity, age, marital or family status, disability, genetic information, veteran status, or any other legally protected basis under provincial, federal, state, and local laws, regulations, or ordinances. We will also consider qualified applicants with criminal histories in a manner consistent with the requirements of state and local laws, including the San Francisco Fair Chance Ordinance, Cook County Ordinance, NYC Fair Chance Act, and the LA City Fair Chance Ordinance, and consistent with Canadian provincial and federal laws. If you have a disability or special need that requires accommodation during any stage of the application process, please contact:
accommodations@chime.com
.
To learn more about how Chime collects and uses your personal information during the application process, please see the
Chime Applicant Privacy Notice
.
Location: New York, NY
Workplace: Hybrid
ABOUT THE COMPANY
Rain is the global stablecoin payments platform for enterprises, neobanks, platforms, developers, and AI agents. Our technology allows partners to move, store, and use stablecoins instantly and compliantly through global payment cards, rewards, on/offramps, wallets, and cross-border rails. As both a Visa and Mastercard Principal Member, Rain issues cards that work at more than 175 million merchant locations in over 220 countries and territories. Built natively for stablecoins and trusted by more than 100 organizations worldwide, Rain delivers secure, scalable infrastructure that makes money move freely and instantly around the world.
You will have the opportunity to deliver massive impact at a hypergrowth company backed by some of the top investors in fintech, crypto, and SaaS. In January 2026, we closed a $250M Series C led by ICONIQ, valuing Rain at $1.95B, with Sapphire Ventures, Dragonfly, Bessemer Venture Partners, Galaxy Ventures, FirstMark, Lightspeed, Norwest, and Endeavor Catalyst also participating. If you're curious, bold, and excited to help shape a borderless financial future, we'd love to talk.
OUR ETHOS
We believe in an open and flat structure. You will be able to grow into the role that most aligns with your goals. Our team members at all levels have the freedom to explore ideas and impact the roadmap and vision of our company.
ABOUT THE ROLE
Rain is looking for a Business Development Lead to build and scale our presence in the rapidly emerging agentic commerce ecosystem.
You’ll drive new business by identifying high-value opportunities, developing strategic partnerships, and building a strong commercial pipeline. You’ll also help shape Rain’s commercial thesis at the intersection of stablecoins and AI, identifying where our infrastructure can unlock new use cases and where Rain has a right to win.
Working closely with Product and Engineering, you’ll translate market insights into commercial and product opportunities and position Rain as a critical infrastructure partner for the next generation of commerce.
This is a highly entrepreneurial role for someone who can see where the market is headed, move early, and turn emerging opportunities into meaningful growth for Rain.
WHAT YOU’LL DO
- Build Rain’s agentic commerce pipeline: Identify, source, and develop high-value commercial opportunities across AI-native companies, agent platforms, agentic commerce infrastructure providers, and emerging payment ecosystems.
- Develop our agentic commerce strategy: Define priority segments, use cases, target accounts, and partnership opportunities, with a particular focus on where stablecoin and payments infrastructure can unlock new capabilities for AI-powered commerce.
- Drive commercial execution: Develop compelling value propositions, manage a high-quality pipeline, and work cross-functionally to convert opportunities into long-term partnerships.
- Stay ahead of the market: Identify emerging trends, technologies, companies, and use cases across AI and payments early, and translate them into commercial opportunities and strategic priorities for Rain.
- Own strategic partnerships: Lead opportunities from initial outreach and discovery through solutioning, negotiation, deal execution, and handoff.
- Build the ecosystem: Establish relationships with founders, developers, and industry leaders shaping the future of AI-powered commerce and autonomous payments.
- Partner with Product and Engineering: Bring market intelligence and prospective partner feedback into product discussions, helping inform Rain’s roadmap and identify opportunities for new capabilities.
- Shape Rain’s market position: Develop our point of view on the role of stablecoins in agentic commerce and build Rain’s position as a leading infrastructure partner in the ecosystem.
WHAT WE’RE LOOKING FOR
- 6+ years of experience in business development, strategic partnerships, or a related commercial role, ideally within AI, fintech, payments, or emerging technology.
- Strong understanding of the AI ecosystem, particularly agentic commerce, AI agents, and the infrastructure enabling autonomous transactions.
- Demonstrated ability to source, develop, negotiate, and close strategic commercial partnerships.
- Entrepreneurial mindset with experience building new business opportunities end to end, entering emerging markets, or developing go-to-market strategies from the ground up.
- Strong commercial judgment and the ability to identify high-potential opportunities in rapidly evolving markets.
- Ability to form an independent point of view on emerging markets and translate it into commercial action.
- Ability to engage credibly with both technical and business stakeholders, translating complex technologies into clear commercial value propositions.
- Exceptional communication, relationship-building, and negotiation skills.
- High degree of ownership, intellectual curiosity, and bias toward action.
- Comfortable operating independently in a fast-paced environment with evolving priorities and limited established playbooks.
NICE TO HAVE
- Direct experience working at an AI-native company, agentic commerce platform, or AI infrastructure provider.
- Existing relationships within the AI developer, agentic commerce, or emerging payments ecosystem.
- Familiarity with AI agent frameworks, agent payment protocols, and emerging standards for autonomous transactions.
- Experience with payments infrastructure, card issuing, stablecoins, wallets, or blockchain-based financial services.
- Track record of building and scaling a new commercial vertical or ecosystem partnership strategy.
THINGS THAT ENABLE A FULFILLING, HEALTHY AND HAPPY EXPERIENCE AT RAIN:
Unlimited time off 🌴Unlimited vacation can be daunting, so we require Rainmakers to take 10 days minimum for themselves.
Flexible working ☕ We support a flexible workplace, if you feel comfortable at home please work from home. If you’d like to work with others in an office feel free to come in. We want everyone to be able to work in the environment in which they are their most confident and productive selves. New Rainmakers will have a stipend to create a comfortable atmosphere at home.
Easy to access benefits 🧠For US Rainmakers, we offer comprehensive health, dental and vision plans for you and your dependents, as well as a 100% company subsidized life insurance plan.
Retirement goals💡Plan for the future with confidence. We offer a 401(k) with a 4% company match.
Equity plan 📦 We offer every Rainmakers an equity option plan so we can all can benefit from our success.
Rain Cards 🌧️ We want Rainmakers to be knowledgeable about our core products and services. To support this mission, we issue a card for our team to utilize the card for testing.
Health and Wellness 📚 High performance begins from within. Rainmakers are welcome to use their card for eligible health and wellness spending like gym memberships/fitness classes, massages, acupuncture - whatever recharges you!
Team summits ✨ Summits play an important role at Rain! Time spent together helps us get to know each other, strengthen our relationships, and build a common destiny. Expect team and company offsites both domestically and internationally.
Location: New York, NY
Workplace: Hybrid
ABOUT THE COMPANY
Rain is the global stablecoin payments platform for enterprises, neobanks, platforms, developers, and AI agents. Our technology allows partners to move, store, and use stablecoins instantly and compliantly through global payment cards, rewards, on/offramps, wallets, and cross-border rails. As both a Visa and Mastercard Principal Member, Rain issues cards that work at more than 175 million merchant locations in over 220 countries and territories. Built natively for stablecoins and trusted by more than 100 organizations worldwide, Rain delivers secure, scalable infrastructure that makes money move freely and instantly around the world.
You will have the opportunity to deliver massive impact at a hypergrowth company backed by some of the top investors in fintech, crypto, and SaaS. In January 2026, we closed a $250M Series C led by ICONIQ, valuing Rain at $1.95B, with Sapphire Ventures, Dragonfly, Bessemer Venture Partners, Galaxy Ventures, FirstMark, Lightspeed, Norwest, and Endeavor Catalyst also participating. If you're curious, bold, and excited to help shape a borderless financial future, we'd love to talk.
OUR ETHOS
We believe in an open and flat structure. You will be able to grow into the role that most aligns with your goals. Our team members at all levels have the freedom to explore ideas and impact the roadmap and vision of our company.
ABOUT THE ROLE
We’re looking for an IT Manager to own and evolve Rain’s internal technology and security foundation as we scale. Today, Rain is growing quickly with frequent onboarding, expanding tooling, and increasing security requirements. We operate in a sector that is actively targeted by malicious actors so we need someone who can baseline security—bringing structure, best practices, and calm execution to a fast-moving environment.
This role is both hands-on and strategic. You’ll manage day-to-day IT operations while also leading key security initiatives like access controls, device management, MFA, and audits across our internal tools. As Rain scales globally, you’ll design systems and processes that scale with the company.
Reporting to the Head of IT, you’ll work cross-functionally to ensure employees have the tools they need to work effectively, without compromising security or compliance. This is a foundational role with significant ownership and the opportunity to shape how IT and security operate at Rain for years to come.
WHAT YOU’LL DO
Own IT operations end-to-end
- Manage employee onboarding and offboarding, including laptops, device provisioning, access setup, and troubleshooting.
- Serve as the primary owner of Rain’s IT vendors and tooling (e.g., Deel IT, JumpCloud), ensuring smooth day-to-day operations and clear escalation paths.
- Coordinate device lifecycle management, including MDM enrollment, device returns, replacements, and inventory tracking.
- Support employees with day-to-day IT needs such as access issues, VPN support, and hardware troubleshooting.
Build scalable access and identity management
- Own identity and access management across tools, ensuring users have the right access at the right time.
- Design and maintain role-based access controls across core systems (e.g., Google Workspace, cloud tools, internal SaaS).
- Audit and clean up existing permissions across tools, including 1Password vault access and admin roles.
Raise Rain’s internal security posture
- Manage security configurations across internal tools, including MFA enforcement, device policies, and authentication standards.
- Lead the rollout and management of hardware-based authentication (e.g., YubiKeys).
- Define and document policies around device usage, access, and security best practices.
- Partner with Engineering and Security to identify gaps, improve controls, and prepare for future audits or compliance needs.
Enable scale and automation
- Improve and automate IT workflows using tools like JumpCloud (e.g., preconfigured apps, scripts, policies).
- Ensure enterprise plans, licenses, and seat usage are managed efficiently across tools.
- Continuously evaluate and improve Rain’s internal IT and security stack as the company grows.
Office and vendor coordination
- Support new office setup and office IT needs, coordinating with external partners as needed.
- Act as the point person for IT-related vendor relationships, contracts, and negotiations.
YOU ARE LIKELY TO SUCCEED IF YOU HAVE:
- 5 or more years in IT support, IT systems engineering or automation engineering, ideally at a startup or hypergrowth company and have the ability to build processed and foundations from scratch.
- Hands on Okta administration experience, including SSO, MFA, Group Rules and Universal Directory, with Okta Workflows a strong plus.
- Scripting and automation proficiency in Python and JavaScript for API interaction and system management.
- Familiarity with a modern SaaS and endpoint stack such as Google Workspace, Slack, JumpCloud, CrowdStrike and more.
- Hands on experience with office networking and AV such as UniFi, and comfort supporting onsite infrastructure across multiple offices.
- A working understanding of compliance frameworks such as SOC 2, PCI DSS and GDPR and how IT controls map to them.
- Strong end user support instincts and excellent written and verbal communication.
- Experience as part of a lean IT team (team of 1-2), handling everything from end-user support to systems and infrastructure
- A bias toward action and genuine comfort wearing many hats and filling gaps across corporate IT and security on a small team.
NICE TO HAVE:
- Experience in fintech, payments, Web3 or another regulated and high compliance environment.
- Experience with agentic AI tools and building AI powered internal workflows.
- Vendor negotiation and SaaS cost optimization experience.
THINGS THAT ENABLE A FULFILLING, HEALTHY AND HAPPY EXPERIENCE AT RAIN:
Unlimited time off 🌴 Unlimited vacation can be daunting, so we require Rainmakers to take 10 days minimum for themselves.
Flexible working ☕ We support a flexible workplace – work from home, come into an office, or both. We want everyone to work in an environment where they're their most confident and productive selves. New Rainmakers receive a stipend to set up a comfortable home workspace.
Easy to access benefits 🧠 For US Rainmakers, we cover 95% of your health, dental, and vision plan costs and 90% for your dependents, plus a 100% company-subsidized life insurance plan.
Retirement goals💡 Plan for the future with confidence. We offer a 401(k) with a 4% company match.
Equity plan 📦 Every Rainmaker gets an equity option plan so we all benefit from our success.
Health and Wellness 📚 High performance begins from within. Rainmakers receive a monthly stipend to be used for eligible health and wellness spending like gym memberships/fitness classes, massages, acupuncture - whatever recharges you!
In-office meals 🍜 Rainmakers working from the office enjoy lunch and dinner on us, covered with a DoorDash credit.
Team summits ✨ Summits play an important role at Rain. Time together helps us build relationships and a common destiny. Expect team and company offsites, both domestic and international.
Workplace: fully
Role Overview
The Customer Success Agent is a front-line role on the Ethena Pay support team. You'll report directly to the Customer Success Manager, and be one of the first people we hire into the function.
Most of your time will be spent in the queue, answering users across Zendesk, Telegram and X — including the tricky ones where real money is delayed or stuck. The rest goes into making the queue smaller: sharper macros, better help-centre content, and clear signals to Product, Engineering, Finance, Compliance and GTM team about what's causing tickets.
Support is one of the places a money product can genuinely stand out, and few competitors set a high bar. We want users to talk about how good our support is, and we want ticket volume to fall because the reasons behind it are being removed. You'll sit inside the product team and work day to day with Engineering, Finance and Compliance. As the support and payments-ops organisation grows toward follow-the-sun and multilingual coverage, there's real room to grow with it.
Role Responsibilities
Work the queue: handle inbound tickets across Zendesk, Telegram and X, and consistently hit our published first-response and resolution targets.
Resolve money-movement issues safely: work through stuck or failed withdrawals, card and spend issues, on/off-ramp problems, refunds and KYC questions using our runbooks, four-eyes checks and audit trails.
Escalate with judgement: know when a case needs the CSM, Finance, Compliance or Engineering — disputes and chargebacks, suspected fraud, sanctions hits or anything that looks like an incident — and hand it over with full context.
Make every ticket count as data: tag and categorise accurately so the weekly cluster and contact-rate read is reliable. Route bugs to Product and Engineering with clear reproduction steps, user impact and evidence.
Hold a high quality bar: write replies that are accurate, clear and human. Take part in response QA, act on feedback, and reach out proactively to affected users during incidents using approved comms.
Shrink the queue: draft and maintain macros and help-centre articles, flag repeat contact reasons, and suggest product or self-serve fixes that would remove them.
Work with our rails partners: follow up on individual cases with our card issuer, on/off-ramp, KYC and wallet partners through the escalation paths the CSM owns, and log vendor issues as they happen.
Use AI well: use AI-assisted triage and drafting to move faster, and always check the output for accuracy and tone — especially where money is involved.
Required Skills and Experience
2+ years in front-line support for a live consumer money product — a neobank, payments company, card programme, exchange or crypto money app — where mistakes could move, lose or delay real customer funds.
Hands-on experience resolving money-movement tickets, such as failed or stuck transfers, card declines, refunds, account verification or KYC issues.
Confident working in a helpdesk tool (Zendesk ideally): triage, tagging, macros and help-centre content.
Excellent written English. You explain complex things simply, stay calm and empathetic with frustrated users, and get the facts right.
Comfortable with crypto basics: stablecoins, self-custodial wallets, on-chain transactions and reading a block explorer.
Strong judgement: you follow process where money is involved and know when to escalate rather than guess.
A track record of quality, backed by numbers — CSAT, QA scores or resolution times you're proud of.
Agent-native working: you already use AI tools to triage, draft replies and summarise issues, and you check the output before it reaches a user.
Nice to Have
Fluency in a second language — we're building toward multilingual coverage.
Experience with disputes and chargebacks, fraud triage or KYC/AML operations.
Experience supporting users in community channels such as Telegram, Discord or X.
Experience in an early-stage support team, including writing or improving runbooks and help-centre content.
Experience working in shift-based or follow-the-sun support across time zones.
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: Lisbon, Portugal or London, UK
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.
The Role
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.
What You Might Work On
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 identify transit provider policy change that is required to resolve.
Diagnose a recurring WebSocket disconnect a media customer has been experiencing across multiple release cycles. Isolate it to a specific interaction between a Cloudflare service release and the customer's connection lifecycle. Drive the fix with the owning engineering team.
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.
Responsibilities
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.
Requirements
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.
Desired Skills & Experience
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
● For Portugal based hires: Estimated annual salary is between € 61,000 - 84,000
The final offer will be inclusive of time exemption, in alignment with the applicable law and collective bargaining agreements.
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.
United States
Montreal
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, Canada; Remote, United States; The base salary range for this role’s listed level is currently for residents of the United States only
УдалённоseniorUnited States; You can manage an open queue, triage by impact, and keep things moving asynchronously across time zones
Chicago, New York City
seniorTel Aviv
Bangalore, India
УдалённоKazakhstan; Armenia; Serbia
Canada
seniorLondon, United Kingdom
УдалённоRemote, Canada; Remote, United States; Comfort working in a low-process, high-ownership environment where you take responsibility for your work, refine problem statements with teammates, and communicate progress clearly in writing across time zones in an all-remote team; The base salary range for this role’s listed level is currently for residents of the United States only
seniorSan Francisco, CA, USA
ГибридleadNew York, NY
ГибридNew York, NY
Experience working in shift-based or follow-the-sun support across time zones
Автоотклики