Location: Montreal
Workplace: onsite
ABOUT YOU
We are looking for a Tech Lead to drive the technical direction, architecture, and delivery of Xsolla’s fraud prevention and risk systems. This role requires deep fintech and payments experience, strong understanding of Anti-Fraud Systems (AFS), and the ability to lead engineers building high-throughput, low-latency, decision-critical systems.
You will work closely with Product, Data Science, Risk Operations, Compliance, and Platform teams to design and evolve fraud detection, prevention, and investigation capabilities at global scale.
ABOUT US
Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world. With more paths to profits and ways to win, developers have all the things needed to enjoy the game.
For more information, visit xsolla.com.
Responsibilities:
Technical Leadership & Architecture
Own the
technical vision and architecture
of Xsolla’s anti-fraud platform and services.
Design scalable, resilient systems for
real-time transaction risk scoring
, rule engines, and decision workflows.
Lead architectural decisions around
AFS integrations
, internal fraud engines, and third-party providers.
Ensure systems meet
performance, reliability, security, and compliance
requirements.
Fraud & Fintech Domain Leadership
Translate fraud and risk requirements into robust technical solutions.
Partner with Risk, Payments, and Compliance teams on: Transaction monitoring, Chargeback reduction, AML / KYC-adjacent workflows (where applicable), and Regulatory and scheme requirements (Visa, Mastercard, etc.)
Evaluate and evolve fraud strategies across: Card-not-present transactions, Alternative payment methods, Digital goods and gaming-specific fraud vectors
Engineering Execution: Lead a team of engineers (directly or as a technical lead across squads), Drive best practices in: Code quality and reviews, System observability and alerting, Secure development, and Incident response and root cause analysis
Balance speed, risk, and quality in a high-impact domain.
Collaboration & Influence: Work cross-functionally with Product Managers, Data Scientists, and Operations
Mentor senior and mid-level engineers in both
technical depth
and
domain expertise
.
Act as a technical escalation point for complex fraud-related incidents.
Qualifications & Skills:
8+ years of professional software engineering experience, with
significant time in fintech or payments
.
Proven experience designing or leading
Anti-Fraud Systems (AFS)
, such as: Rule engines, Risk scoring pipelines, and Decision orchestration systems
Strong backend engineering skills (e.g., Java, Kotlin, Go, or similar).
Experience building
high-volume, low-latency distributed systems
.
Deep understanding of Event-driven architecture, APIs and integrations, Data stores used for real-time decisioning, and Domain Expertise
Hands-on experience with fraud prevention in: Payment processing, Digital commerce or marketplaces, and Gaming or virtual goods (strong plus)
Understanding of fraud patterns, abuse vectors, and mitigation techniques.
Familiarity with: Chargebacks and dispute flows, 3DS, risk exemptions, and payment scheme rules, and Working with external fraud vendors and tools
Proven ability to lead technically without relying solely on formal authority.
Strong decision-making skills in ambiguous, high-risk domains.
Excellent communication skills, able to explain complex technical and fraud concepts to non-technical stakeholders.
Comfortable owning outcomes in a mission-critical area.
Nice to Have:
Experience working with data science or ML-driven fraud models.
Knowledge of AML, KYC, or regulatory frameworks.
Prior experience in global payment platforms or PSPs.
Experience operating systems at
global scale (multiple regions, currencies, and regulations)
.
Benefits:We are passionate about fostering a supportive environment for our team, so we prioritize the physical, mental, and emotional well-being of our employees and their families through a comprehensive Benefits Program. This includes medical, dental, and vision, PTO, and a personalized career roadmap for each employee. By investing in professional development through training and educational opportunities, we ensure that our team thrives both personally and professionally. Together, we’re not just building a business; we’re cultivating a community that values creativity, collaboration, and the transformative power of play.
Equal Employment Opportunity Statement:
Xsolla is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity, or any other characteristic protected by law.
We consider qualified applicants with criminal histories in accordance with the Fair Chance Act.
Criminal History Consideration:
For the Tech Lead, we will conduct a background check that may include the following:
Criminal history check
Employment verification
Education verification
Relevance to Job Responsibilities:
The background check is relevant to this position because of the following role responsibilities:
Accessing confidential company data
Ensuring compliance with regulatory requirements
Rights Under the Fair Chance Act:
Applicants are encouraged to inquire about their rights under the Fair Chance Act. If you have questions regarding our hiring practices, please contact careers@xsolla.com.
By submitting the following job application form, you consent to Xsolla processing your data for career-related inquiries and potential employment opportunities. We process your data in accordance with this Xsolla Privacy Notice for Job Applicants. Please direct any inquiries regarding your data privacy to careers@xsolla.com.
Location: Hybrid - London, Berlin
About Vercel:
Vercel is the agentic infrastructure company, freeing people and agents to ship what's next. For more than a decade we've helped builders move from idea to production with speed, security, and exceptional developer experience.
Now we're scaling our products for both agents and people to ship and run software, built in the open and trusted by OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide.
About the role
We are looking for a
Senior Forward-Deployed Engineer
to join our Professional Services team. This role is focused on working directly alongside developer teams in our most strategic enterprise customers to drive transformational outcomes across frontend modernization, platform migrations, and AI adoption.
In this role, you will lead complex Next.js migrations, architect high-performance applications, and build production AI solutions - all within customer environments. You'll work hands-on-keyboard alongside customer teams, whether you're migrating a legacy React application to App Router, conducting a deep-dive code audit, or deploying production agents using Vercel's eve framework and AI SDK.
Our Forward-Deployed Engineers operate with high agency and autonomy. You'll navigate ambiguous enterprise environments, assess technical debt, design migration strategies, and deliver measurable business value - all while building long-term relationships that expand our partnership with each customer.
There are two main profiles for this role: Next.js experts, and AI builders. Next.js experts work on deep customer code optimization, performance audits, AEO and SEO, and teaching customers how to build Next.js apps with AI instrumentation - such as Claude Code, Codex, Cursor, etc with Next.js and Vercel agent skills. The AI builder profile is less focused on deep Next.js experience, and more on identifying, evangelizing, and building AI applications and agentic workflows. Your job in this role will be to understand customers’ businesses, scope, design, and build AI agents, and prove their value. The two profiles are not mutually exclusive and we appreciate expertise in both.
You will report to the Global Manager of Forward Deployed Engineering. This role is remote-first with travel to customer sites expected occasionally. Travel requirements vary, but most of our engineers travel no more than 3-4 days every other month.
What you'll do
Build production AI solutions
using Vercel's
eve
framework, AI SDK, and AI Cloud infrastructure, including conversational interfaces, production agents, MCP servers, and agentic workflows that transform customer operations.
Lead complex frontend migrations -
modernizing legacy React, Vue, or other frameworks to Next.js, including Pages to App Router transitions, incremental adoption strategies, and large-scale codebase transformations. Automation of migrations is key to engineering efficiency.
Conduct code audits and help analyze and improve website performance
, analyzing customer codebases for performance bottlenecks, architectural anti-patterns, and optimization opportunities - delivering actionable roadmaps that drive measurable improvements.
Architect and implement high-performance Next.js applications
, leveraging App Router, Server Components, streaming, ISR, and advanced rendering strategies to meet enterprise scale and performance requirements.
Embed with strategic customers
to build production applications - working within their systems, understanding their constraints, and shipping TypeScript code that goes live.
Drive enablement and knowledge transfer
through workshops, pair programming, and documentation - ensuring customer teams can extend and maintain solutions independently.
Navigate complex enterprise environments
by building relationships with stakeholders across engineering, product, and executive teams - translating technical capabilities into business outcomes.
Contribute to our service evolution
by identifying repeatable patterns, building reusable components, and sharing implementation insights back to Product and Engineering teams.
What you need
6+ years of experience
in software engineering with at least 2 years in a customer-facing technical role (consulting, solutions architecture, forward deployed engineering, or technical founder experience).
Experience using AI instrumentation
such as harnesses, skills, and MCPs to build and deploy web applications, backend systems, and/or agentic workflows.
High agency with comfort in ambiguity -
you thrive when given a problem to solve rather than a task to complete, and you can navigate complex organizations to create a plan and drive a project.
Exceptional communication skills
with the ability to conduct technical discovery, present to executives, mentor engineers, and build lasting customer relationships - all with a low-ego, collaborative approach.
Business acumen
to understand customer objectives, translate technical capabilities into ROI, and identify expansion opportunities throughout engagement lifecycles.
Willingness to travel
occasionally to customer sites for embedded work and relationship building.
Next.js-focused Candidates:
Expert-level TypeScript skills -
You are fluent in TypeScript and have strong opinions on type safety, patterns, and tooling.
Deep expertise in Next.js
, with a proven track record of architecting and delivering complex applications using App Router, Server Components, server-side rendering (SSR), static generation (SSG), and incremental static regeneration (ISR), and personalization.
Demonstrated experience leading frontend migrations -
you've converted legacy applications to Next.js, navigated incremental adoption strategies, and understand the challenges of migrating large codebases in production environments.
Mastery of React
and its ecosystem, including advanced state management, performance optimization, and modern patterns like streaming, suspense, and concurrent features.
AI-focused Candidates:
Production experience with LLMs and AI applications
, including agent development, cloud sandbox & filesystem agent patterns, human-in-the-loop patterns, and value optimization. Familiarity with Vercel's eve framework and AI SDK is strongly preferred.
Ability to identify business cases for AI agents
- many customers need guidance not only on how to build AI agents, but where and why to use AI. You’ll need to listen and understand a day-in-the-life of customers’ teams to build proposals.
Bonus if you
Have led enterprise AI transformation initiatives, including building production agents that automated manual processes or replaced legacy systems.
Have taught others how to develop software using AI, best practices for building agents, harnesses, skills, and MCPs.
Have led large-scale migrations from legacy frameworks (Create React App, Gatsby, custom webpack setups) to Next.js in enterprise environments.
Have expertise in performance optimization and Core Web Vitals, with experience diagnosing and fixing LCP, CLS, and INP issues at scale.
Have contributed to the Next.js, React, or AI SDK open-source projects, or maintain popular related libraries.
Have experience with enterprise deployment patterns including security reviews, compliance requirements, and multi-region architectures.
Have a background in financial services, healthcare, retail/e-commerce, or media - industries with complex frontend ecosystems and growing AI adoption.
Have spoken at conferences or published thought leadership on frontend architecture, migrations, or AI applications.
Benefits:
Great compensation package and stock options.
Inclusive Healthcare Package.
Learn and Grow - we provide mentorship and send you to events that help you build your network and skills.
Flexible Time Off - Flexible vacation policy with a recommended 4-weeks per year, and paid holidays.
Remote Friendly - Work with teammates from different time zones across the globe.
We will provide you the gear you need to do your role, and a WFH budget for you to outfit your space as needed.
Disclosures:
Privacy:
Please review our
Job Applicant Privacy Policy
for more information on how we handle your data.
Equal Opportunity:
Vercel is committed to fostering and empowering an inclusive community within our organization. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law. Vercel encourages everyone to apply for our available positions, even if they don't necessarily check every box on the job description.
Location: United States & Canada
Workplace: Remote
About WorkOS 🚀
WorkOS builds modern developer tools and APIs that make it easy for companies to become Enterprise Ready. Our platform powers authentication, identity, authorization, and other critical infrastructure that developers need to securely scale their products to large organizations.
We recently raised a $100M Series C, valuing the company at $2B, led by Meritech and Sapphire with participation from Greenoaks, Craft, Abstract, and Audacious. WorkOS powers enterprise features for many of the fastest-growing AI companies, including OpenAI, Cursor, and Perplexity, Sierra, and Plaid.
As AI reshapes software, WorkOS is at the frontier of Human and Agent Authentication, Identity, and Access Control helping companies answer a new critical question: who are your agents, and what are they allowed to do? Our fast-growing customer base includes hundreds of modern software companies building the next generation of enterprise-ready products.
About the role 💭
We're at an inflection point for what it means to build for developers and agents. The way engineers discover, integrate, and work with APIs is changing fast, and we're actively building the infrastructure to meet that shift.
Developers still integrate WorkOS, but increasingly their agents do it for them. This team owns every way into WorkOS that isn't the dashboard: SDKs in 9 languages, now generated from our API spec; an AI installer CLI that sets up AuthKit in any project; our MCP servers and agent skills; and other not released projects we're building in-house. You'd ship daily with agents as collaborators, and your code goes into other people's apps. The roadmap comes from watching real integrations: friction logs, shared customer Slack channels and telemetry.
The goal is that when a developer (or their agent) needs enterprise-ready auth, WorkOS is the easiest path forward regardless of stack, language, or how they're building.
What you'll work on
- Ship agent tools and skills so developers (and their agents) can integrate WorkOS without friction
- Write evaluations to measure whether what you ship actually improves developer outcomes
- Talk to customers, surface insights, and translate them into roadmap
- Contribute to the architecture and tooling for fully generated, polyglot SDK pipelines — so a change to the API propagates cleanly across all languages
- Own and evolve SDKs across our seven supported languages (Node/TypeScript, Python, Ruby, Go, Java, PHP, .NET) and framework libraries like our Next.js, Remix, and TanStack integrations
- Build and extend AI-native documentation systems as structured context that makes WorkOS work well in Cursor, Claude, Copilot, and agentic workflows
- Represent WorkOS publicly through docs, blog posts, OSS, and occasional conference appearances
- Build developer tooling like the WorkOS CLI that make complex integrations feel trivial
What we're looking for
- 5+ years of software development experience with a real track record of shipping and maintaining SDKs or OSS projects
- Deep fluency in at least three of our supported languages; you should have strong opinions about what idiomatic code looks like in each
- Experience with or genuine excitement about AI-native tooling: agent SDKs, context engineering, evals, LLM-powered CLIs
- Interest in documentation as infrastructure, not just prose
- Strong instincts for what makes a developer experience good vs. merely functional
- Experience owning projects end-to-end and driving decisions based on customer impact
Benefits and Perks (US Only) 💖
At WorkOS, we offer resources that emphasize personal and familial well-being. We offer healthcare coverage for you and your family, including medical, dental, and vision. We offer parental leave, paid-time off and fully remote working arrangements.
- 401k matching
- Competitive Equity
- Healthcare, dental and vision coverage
- FSA, ST/LT Disability, Voluntary Life
- Carrot fertility benefits
- 20 days paid vacation + 10 holidays + unlimited sick leave
- 12 weeks fully paid parental leave
- Fitness: Monthly stipend for gyms, yoga classes, race registrations or whatever keeps you active
- Wellness: Monthly stipend for a massage, meditations class, therapy, or activities that enhance your well-being
- Commuter benefits for hybrid employees in SF/NYC
- Unlimited token usage!
Please inquire directly with our recruiting team for benefits available to those working outside the US.
Equal Opportunity Employer
WorkOS is an equal opportunity employer, committed to diversity and inclusiveness. We will consider all qualified applicants without regard to race, color, nationality, gender, gender identity or expression, sexual orientation, religion, disability or age.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Location: Canada
Workplace: remote
ABOUT YOU
We’re looking for a Backend Software Engineer with a strong infrastructure mindset to join our Technology team. This role sits at the intersection of backend development and platform engineering, with Kubernetes as a first-class concern, not just a deployment target.
Our platform dynamically scales hundreds of servers daily, orchestrating isolated runtime environments inside Kubernetes pods. You’ll help design, build, and evolve the backend services and infrastructure systems that make this possible—focusing heavily on Infrastructure as Code, dynamic scaling, and reliability at scale.
If you enjoy working close to the metal (while still writing application code), thinking in systems, and solving problems where application behavior and infrastructure behavior are deeply intertwined, this role is for you.
ABOUT US
Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world.
For more information, visit xsolla.com.
Responsibilities:
Design, develop, and maintain backend services and APIs using
Node.js
and TypeScript
Architect and evolve
Infrastructure as Code (IaC)
that drives
dynamic Kubernetes scaling
and orchestration
Build and maintain
Docker-based deployment pipelines
and runtime images
Design and optimize
deployment and scaling strategies
across many services and environments
Collaborate closely with engineering and DevOps to ensure systems are
resilient, observable, and secure
Monitor, troubleshoot, and improve system performance, reliability, and cost efficiency
Document infrastructure patterns, operational workflows, and best practices
Stay current with emerging tools and approaches in cloud infrastructure and backend systems
Qualifications & Skills
Deep hands-on experience with Kubernetes, including: Autoscaling and capacity management, Cluster-level behavior and lifecycle concerns, and Production debugging and incident response
Strong experience building and running Dockerized workloads
Proficiency in
Node.js
and TypeScript for backend services
Practical experience with Infrastructure as Code (Terraform or similar)
Experience designing and operating scalable backend systems in production
Benefits:We are passionate about fostering a supportive environment for our team, so we prioritize the physical, mental, and emotional well-being of our employees and their families through a comprehensive Benefits Program. This includes medical, dental, and vision, PTO, and a personalized career roadmap for each employee. By investing in professional development through training and educational opportunities, we ensure that our team thrives both personally and professionally. Together, we’re not just building a business; we’re cultivating a community that values creativity, collaboration, and the transformative power of play.
Equal Employment Opportunity Statement:
Xsolla is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity, or any other characteristic protected by law. We consider qualified applicants with criminal histories in accordance with the Fair Chance Act.
Criminal History Consideration:
For the Backend Software Engineer position, we will conduct a background check that may include:
- Criminal history check
- Employment verification
- Education verification
Relevance to Job Responsibilities:
The background check is relevant to this position due to responsibilities such as accessing confidential company data and ensuring compliance with regulatory requirements.
Rights Under the Fair Chance Act:
Applicants are encouraged to inquire about their rights under the Fair Chance Act. If you have questions regarding our hiring practices, please contact careers@xsolla.com.
By submitting the following job application form, you consent to Xsolla processing your data for career-related inquiries and potential employment opportunities. We process your data in accordance with this Xsolla Privacy Notice for Job Applicants. Please direct any inquiries regarding your data privacy to careers@xsolla.com.
Location: New York
ABOUT US:
AI NEEDS A NEW INFRASTRUCTURE LAYER. WE'RE BUILDING IT AT MODAL.
Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now.
Our customers include category-defining companies like Ramp https://modal.com/blog/how-ramp-built-a-full-context-background-coding-agent-on-modal, Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale.
We've passed $1B in annualized run rate, up 15x from a year ago. In October 2026 we raised a $750M Series D led by Accel at a $15.75B valuation.
Our team includes creators of popular open-source projects (e.g.,Seaborn https://github.com/mwaskom/seaborn,Luigi https://github.com/spotify/luigi), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience.
THE ROLE:
At Modal, we sell cloud services atop which our customers run their critical production systems. As a rapidly growing new cloud infrastructure company, we seek to improve our reliability dramatically while scaling the size of our platform, customer base, and team.
This role is for people who are deep systems thinkers, love stacking nines, and thrive on making others move faster at scale.
WHAT YOU'LL WORK ON:
- Identify architectural changes to improve reliability and performance
- Foster a culture of reliability across Modal’s engineering organization
- Define and implement operational processes such as deployments and upgrades
- Operate infrastructure like Kubernetes, Postgres, and Redis
- Participate in on-call rotations and respond to production incidents
YOU MAY BE A FIT IF:
- You have 5+ years of experience writing high-quality production code
- You have 2+ years of on-call experience for critical production services
- You have strong cloud skills and deep familiarity with at least one hyperscaler cloud (AWS preferred)
- You’re familiar with autoscaling, fleet management, and capacity planning at scale
- You’ve operated databases, monitoring, CI/CD, and other infrastructure at scale
- You’re able to work in person in our NYC or Stockholm offices
NICE-TO-HAVE:
- Experience owning and scaling Kubernetes clusters to thousands of nodes
- Experience with systems safety research (e.g., STAMP) and control theory
Location: London
Workplace: OnSite
ABOUT US
At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
ABOUT THE TEAM
The Deployed Engineering team works directly with companies building and running AI agents in production, helping turn ideas and prototypes into systems teams can rely on.
This is a hands-on, highly technical team that partners closely with customer engineers across the full lifecycle, from pre-sales evaluations to post-deployment advisory work. The focus is on achieving the technical win, co-designing agent architectures, and helping customers operate agents reliably at scale using the LangChain suite.
Deployed Engineers sit at the intersection of engineering, product, and go-to-market, shaping how LangChain is adopted in the field and feeding real-world insights back into the platform.
ABOUT THE ROLE
The Deployed Engineer…You’ll work on some of the hardest problems in applied AI — not demos, not research, but systems that real teams depend on in production. The feedback loop is fast, the impact is visible, and the work you do directly shapes how AI agents are built in the real world.
WHAT YOU’LL DO
- Co-architect and co-build production AI agents with customer engineering teams
- Own the technical win in pre-sales by designing POCs, answering deep technical questions, and guiding evaluations
- Help customers deploy and operate agent-based applications such as conversational agents, research agents, and multi-step workflows
- Advise customers post-sale on architecture, best practices, and roadmap-level decisions
- Run technical demos, trainings, and workshops for developer audiences
- Surface field feedback and contribute reusable patterns, cookbooks, and example code that scale across customers
- Occasionally contribute code upstream when it meaningfully improves customer outcomes
WHAT YOU’LL BRING
- 3+ years in a relevant technical role (software engineering, customer engineering, solutions engineering, founding/product engineering), ideally in a startup or scale-up
- Strong Python, JavaScript and systems fundamentals
- Have designed agent-based or LLM-powered applications beyond simple API calls, including multi-step workflows, orchestration, and failure handling
- Are comfortable working directly with customers during POCs, architecture reviews, and technical evaluations
- Can explain technical tradeoffs clearly and build trust with developer audiences
- Take responsibility for outcomes, not just recommendations
- Have a bias toward action and enjoy figuring things out as you go
- Are excited about operating AI agents in production, not just building demos
NICE TO HAVE’S
- You’ve deployed AI agents in production, especially using LangChain, LangGraph, or similar frameworks
- Worked with LLM evaluation, observability, or guardrails
- Have experience with cloud environments (AWS, GCP, Azure), containers, and basic Kubernetes concepts
- Have shipped and operated production software and are comfortable owning systems under real-world constraints
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks.
We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
BENEFITS
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
Location: New York, NY (HQ); San Francisco, CA
Workplace: Hybrid
ABOUT RAMP
Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $275B in annualized spend flows in and out of 85,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books.
The problems are high-stakes, data-dense, and unforgiving.
We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome.
The median Ramp customer saves 7.5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same.
If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it.
ABOUT THE ROLE
Ramp's Strategic Enterprise CSMs don't manage accounts — they transform how companies run their finances. This is a role for people who have been inside large organizations when change was hard, who speak the language of a CFO, and who already use AI the way surgeons use instruments: not occasionally, not as an experiment, but as the default way they work. You'll be embedded in Ramp's largest, most strategic enterprise accounts, responsible for driving genuine workflow transformation — not just onboarding completion.
What You'll Do
- Lead enterprise customers through the full transformation journey — from implementation through agentic workflow adoption — with clear accountability for time-to-value and measurable business outcomes
- Build and own the change management strategy for each account: map stakeholders, diagnose resistance, build internal coalitions, and drive adoption past the finish line
- Quantify and communicate Ramp's impact in the language CFOs and Controllers care about — close cycle improvement, spend visibility, variance reduction, and ROI — not just product usage metrics
- Run executive-level stakeholder management across multiple layers of a customer org, including C-suite relationships you own independently
- Use AI tools daily to prepare for customer calls, build materials, synthesize data, identify account risk, and operate at a pace traditional methods can't match
- Help customers understand and adopt Ramp's agentic finance capabilities — positioning new workflows not as features, but as fundamental changes to how their finance team operates
- Partner with Account Executives and Technical Consulting to deliver seamless implementations and expand Ramp's footprint within accounts
- Bring customer insight back to Product — surfacing patterns, gaps, and opportunities from your accounts to shape how Ramp evolves
Must-Haves
- Enterprise change management — You've driven workflow adoption inside complex organizations, navigated real resistance from real stakeholders, and have measurable results to show for it. Finance or fintech context is a plus but not required.
- AI fluency as a daily habit — You already use AI tools habitually in your work. You use them to prep for calls, synthesize information, build customer-facing materials, and automate repetitive tasks. This is how you work, not something you're exploring. Ramp is a builder culture: if you don't instinctively reach for AI before doing things manually, this role will be a hard adjustment.
- Financial impact communication — You can walk a CFO through the business case for a workflow change, connect implementation milestones to P&L outcomes, and run executive updates in financial terms, not product terms. A finance background is not required — fluency is.
- Technical acumen — You can hold your own in conversations with Product and Engineering on integrations, APIs, and workflow architecture. You don't need to code, but credibility in technical conversations is what earns you a seat at the table with the full customer stakeholder group.
- 7+ years in enterprise customer success or implementations — You’ve spent enough time navigating complex organizations and senior stakeholders that it’s second nature. You know how to move an enterprise, not just support one.
Nice-to-Haves
- Agentic workflow experience — You've helped customers adopt AI-powered or agentic workflows at scale. You understand what friction looks like in practice and what makes transformation actually stick.
- Finance domain depth — Exposure to FP&A, accounting software ecosystems (Netsuite, Sage, QuickBooks, Xero), expense management, or CFO-adjacent workflows. Accelerates credibility with Ramp's customer base.
- Demonstrated commercial impact — You can point to expansion, retention, or time-to-value outcomes with specific metrics attached — not described in general terms.
- Background at an AI-first or AI transformation company — not just a company that uses AI, but one where rethinking workflows around it was part of the product or culture
- High-growth or startup experience (comfort operating in ambiguity and rapid change)
- C-suite relationships built and maintained independently, without relying on a sales counterpart
For candidates located in NYC or SF, the pay range for this role is $198,000- $271,000. For candidates located in all other locations, the pay range for this role is $178,000- $244,000.
BENEFITS AVAILABLE TO ALL FULL-TIME RAMP EMPLOYEES (GLOBAL)
- Flexible PTO
- Centralized home-office equipment ordering
- Health and wellness stipend
- Budget for intra-office travel
- Weekly coffee stipend
UNITED STATES
- 100% medical, dental & vision insurance coverage for you, with partial coverage for dependents
- One Medical annual membership
- 401(k), including employer match on contributions made while employed by Ramp
- Fertility HRA (up to $10,000 per year)
- Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay
- Pet insurance
- In-office perks: lunch, snacks, drinks, and more
- Relocation expense coverage to NYC or SF (if needed)
CANADA
- Group medical, dental, and vision coverage through Sun Life
- Life, AD&D, and disability coverage
- Fertility drug coverage (up to $4,000 lifetime)
- Group Retirement Plan with employer match (RRSP + DPSP)
- Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay
- Employee Assistance Program and virtual care through Lumino Health
UNITED KINGDOM
- Private medical insurance through Freedom Elite
- Virtual GP and at-home care via eMed x Livi
- Workplace pension through Penfold, with salary sacrifice option
- Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay
REFERRAL INSTRUCTIONS
If you are being referred for the role, please contact that person to apply on your behalf.
OTHER NOTICES
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Beware of recruiting scams: Ramp will only contact you through official @Ramp.com http://Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process.
Ramp Applicant Privacy Notice https://ramp.com/legal/applicant-privacy-notice
Location: Singapore, Singapore
OKX will be prioritising applicants who have a current right to work in Singapore, and do not require OKX's sponsorship of a visa
About OKX
At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles:
We Before Me
,
Do the Right Thing
, and
Get Things Done
. These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more.
About the team
The Growth Team at OKX is a dynamic group of professionals dedicated to accelerating OKX’s expansion through innovative strategies, data-driven insights, and continuous optimization. By tackling intricate business logic at scale, tapping into emerging DeFi growth opportunities, and addressing globalization and localization challenges, the team drives impactful user acquisition, engagement, and retention across global markets
Responsibilities
Collaborate with Product, Design, and Marketing teams to deliver rapid, cross-functional innovation
Architect and maintain high-performance, highly available distributed services
Explore emerging opportunities in DeFi to promote growth and bridge centralized and decentralized solutions
Solve complex business logic challenges and drive improvements for global user experiences
Provide guidance on best practices, conduct peer code reviews, and champion continuous improvement
Requirements
Bachelor’s degree in Science, Technology, Engineering, or Mathematics
Hands-on experience in developing Microservices/APIs using Java, Spring Boot, and Spring Cloud
Strong understanding of multi-threading and distributed architectures
Proficiency in working with both relational and NoSQL databases, messaging frameworks (e.g., Kafka), distributed caching solutions (e.g., Redis) and other essential tools
Comfort working in a cloud-based Linux environment
Familiarity with automated testing and continuous integration processes
#LI-JC #LI-ONSITE
Perks & Benefits
Competitive total compensation package
L&D programs and Education subsidy for employees' growth and development
Various team building programs and company events
Wellness and meal allowances
Comprehensive healthcare schemes for employees and dependants
More that we love to tell you along the process!
Notice:
All official
OKX
vacancies are published on this website.
While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated.
If in doubt, please apply directly through our official careers website.
Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to
OKX
's
Candidate Privacy Notice
.
Location: Canada; Remote; Shanghai
Workplace: remote
ABOUT YOU
We are looking for a data-driven problem solver who thrives at the intersection of engineering and science. You have strong ownership and work autonomously in fast-paced environments, balancing velocity with reliability. As a collaborative mentor, you raise the bar for team quality and discipline while translating complex technical concepts into business value. You're passionate about building scalable solutions and have excellent cross-functional communication skills that bridge engineering and business stakeholders.
ABOUT US
Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world. With more paths to profits and ways to win, developers have all the things needed to enjoy the game.
For more information, visit xsolla.com.
Responsibilities:
1. Architecture & Development
Design, build, and optimize data pipelines and ETL workflows in Snowflake using Snowpark, Streams/Tasks, and Snowpipe.
Develop scalable data models, Algorithm supporting user 360 views, churn prediction, and recommendation engine inputs.
Lead integration across data sources: MySQL, BigQuery, Redis, Kafka, GCP Storage, and API Gateway.
Implement CI/CD for data pipelines using Git, dbt, and automated testing.
Define data quality checks and auditing pipelines for ingestion and transformation layers.
2. Leadership & Collaboration
Mentor and guide junior data engineers on data modeling, performance tuning, and Snowflake best practices.
Partner with Data Science, ML, and Backend teams to productionize machine learning features in Snowflake.
Work closely with Legal, Security, and Infrastructure teams to ensure compliance, privacy, and governance of user data (PII).
Collaborate with the Director of Data Platforms and product stakeholders to translate business requirements into technical specifications.
3. Performance & Scalability
Tune algorithm performance.
Establish data partitioning, clustering, and materialized views for fast query execution.
Build dashboards and monitors for pipeline health, job success, and data latency metrics (e.g., via Looker, Tableau, or Snowsight).
4. Governance & Best Practices
Establish and enforce naming conventions, data lineage, and metadata standards across schemas.
Lead code reviews, enforce documentation standards, and manage schema versioning.
Contribute to the company’s evolving data mesh and streaming architecture vision.
Qualification & Skills:
5+ years of experience in Data Scientist, with
3+ years in Spark framework
.
Strong SQL and Python skills, with proven experience building
ETL/ELT
at scale.
Deep understanding of algorithm
performance tuning
,
query optimization
, and
warehouse orchestration
.
Experience with
data pipeline orchestration
(Airflow, Prefect, dbt, or similar).
Solid understanding of
data modeling
(Kimball, Data Vault, or hybrid).
Proficiency in
Kafka
,
GCP
, or
AWS
for real-time or batch ingestion.
Familiarity with
API-based data integration
and
microservice architectures
.
Preferred
Experience lead
machine learning teams
or/and deploying
ML feature pipelines
.
Background in
ad-tech, gaming, or e-commerce
recommendation systems.
Familiarity with
data contracts
and
feature stores
(Feast, Tecton, or custom-built).
Experience managing small data engineering teams and setting technical direction
Strong ownership and ability to work autonomously in a fast-paced environment.
Excellent cross-functional communication — can translate between engineering and business.
Hands-on problem solver who balances velocity with reliability.
Collaborative mentor who raises the bar for team quality and discipline
Benefits:
We are passionate about fostering a supportive environment for our team, so we prioritize the physical, mental, and emotional well-being of our employees and their families through a comprehensive Benefits Program. This includes medical, dental, and vision, PTO, and a personalized career roadmap for each employee. By investing in professional development through training and educational opportunities, we ensure that our team thrives both personally and professionally. Together, we’re not just building a business; we’re cultivating a community that values creativity, collaboration, and the transformative power of play.
Equal Employment Opportunity Statement:
Xsolla is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity, or any other characteristic protected by law.
We consider qualified applicants with criminal histories in accordance with the Fair Chance Act.
Criminal History Consideration:
For the Data Scientist, we will conduct a background check that may include the following
Criminal history check
Employment verification
Education verification
Relevance to Job Responsibilities:
The background check is relevant to this position because of the following role responsibilities
Accessing confidential company data
Ensuring compliance with regulatory requirements
Rights Under the Fair Chance Act:
Applicants are encouraged to inquire about their rights under the Fair Chance Act. If you have questions regarding our hiring practices, please contact careers@xsolla.com.
By submitting the following job application form, you consent to Xsolla processing your data for career-related inquiries and potential employment opportunities. We process your data in accordance with this Xsolla Privacy Notice for Job Applicants. Please direct any inquiries regarding your data privacy to careers@xsolla.com.
Location: San Francisco
Workplace: Hybrid
About WorkOS 🚀
WorkOS builds modern developer tools and APIs that make it easy for companies to become Enterprise Ready. Our platform powers authentication, identity, authorization, and other critical infrastructure that developers need to securely scale their products to large organizations.
We recently raised a $100M Series C, valuing the company at $2B, led by Meritech and Sapphire with participation from Greenoaks, Craft, Abstract, and Audacious. WorkOS powers enterprise features for many of the fastest-growing AI companies, including OpenAI, Cursor, and Perplexity, Sierra, and Plaid.
As AI reshapes software, WorkOS is at the frontier of Human and Agent Authentication, Identity, and Access Control helping companies answer a new critical question: who are your agents, and what are they allowed to do? Our fast-growing customer base includes hundreds of modern software companies building the next generation of enterprise-ready products.
About the role 💭
We’re hiring an experienced Engineering Manager to lead a team of engineers at WorkOS. We’re looking for a leader who is excited to manage engineers, but approaches the role as a startup founding member would.
This role is ideal for someone with a builder’s DNA and you will play a key role in shaping product decisions, driving technical strategy, and empowering your team to execute on high-impact projects.
You will also play a pivotal role in scaling the team, recruiting exceptional engineers. You’re not just excited about software—you’re obsessed with building the best developer platform.
Responsibilities ✔️
- Build and lead high-velocity teams that ship product fast and with polish
- Be deeply technical and hands-on: read the PRs, write prototypes, jump into the weeds
- Take raw ideas and turn them into working systems, even if you have to duct tape the first version
- Rally your team even when there is ambiguity, setbacks, or tough customer asks—run through walls when needed
- Push for clarity, focus, and high energy in every sprint. Drive urgency without burning people out
- Drive alignment on the roadmap and become an expert on customer needs related to the product areas your team owns
- Spend time with customers and engineers alike—digging into pain points, testing assumptions, and improving the craft
- Coach, mentor, and build a team of curious, scrappy, driven engineers—people who want to grow fast and build great things
Qualifications 🌟
- Track record of having successfully led product-focused engineering teams in high-performing organizations that shipped real impact
- You've written code at a high level, and you still love to get your hands dirty. You view leadership as an amplifier, not a step back
- Bias for action and scrappiness: You don’t over-optimize for process. You optimize for velocity, customer value, and learning
- You deeply care about the developer experience. You think about UX, APIs, performance, edge cases, and joy
- You ask "why" obsessively, and you push yourself (and your team) to learn constantly
- You build trust, give direct feedback, and create space for engineers to thrive
- You have experience partnering with internal recruiting teams to drive effective and fair hiring processes. You realize that recruiting is a large (and important!) part of your role. A track record of recruiting, hiring, and mentoring top engineering talent.
Benefits and Perks (US Only) 💖
At WorkOS, we offer resources that emphasize personal and familial well-being. We offer healthcare coverage for you and your family, including medical, dental, and vision. We offer parental leave, paid-time off and fully remote working arrangements.
- 401k matching
- Competitive Equity
- Healthcare, dental and vision coverage
- FSA, ST/LT Disability, Voluntary Life
- Carrot fertility benefits
- 20 days paid vacation + 10 holidays + unlimited sick leave
- 12 weeks fully paid parental leave
- Fitness: Monthly stipend for gyms, yoga classes, race registrations or whatever keeps you active
- Wellness: Monthly stipend for a massage, meditations class, therapy, or activities that enhance your well-being
- Commuter benefits for hybrid employees in SF/NYC
- Unlimited token usage!
Please inquire directly with our recruiting team for benefits available to those working outside the US.
Equal Opportunity Employer
WorkOS is an equal opportunity employer, committed to diversity and inclusiveness. We will consider all qualified applicants without regard to race, color, nationality, gender, gender identity or expression, sexual orientation, religion, disability or age.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Location: United States & Canada
Workplace: Remote
About WorkOS 🚀
WorkOS builds modern developer tools and APIs that make it easy for companies to become Enterprise Ready. Our platform powers authentication, identity, authorization, and other critical infrastructure that developers need to securely scale their products to large organizations.
We recently raised a $100M Series C, valuing the company at $2B, led by Meritech and Sapphire with participation from Greenoaks, Craft, Abstract, and Audacious. WorkOS powers enterprise features for many of the fastest-growing AI companies, including OpenAI, Cursor, and Perplexity, Sierra, and Plaid.
As AI reshapes software, WorkOS is at the frontier of Human and Agent Authentication, Identity, and Access Control helping companies answer a new critical question: who are your agents, and what are they allowed to do? Our fast-growing customer base includes hundreds of modern software companies building the next generation of enterprise-ready products.
ABOUT THE ROLE 💭
The Platform team builds the shared backend components and development systems that every WorkOS product, workflow, and team member depends on.
On the platform side, we build common backend capabilities used across WorkOS, including our events infrastructure, webhooks, email delivery, outbox-pattern queues, and more. These systems allow product teams to scale without rebuilding the same critical primitives. Because they sit on critical paths across our products, scalability, latency, consistency, reliability, and operational simplicity matter deeply.
On the productivity side, we build the systems that take code from an idea to production, including CI/CD, build and test infrastructure, deployment workflows, and internal tooling. As agents play a larger role in software development and increase the volume of code and concurrent changes, we are rethinking this platform to scale with that volume through safe execution, fast feedback, relevant context, and verifiable outcomes.
Our internal teams are our customers. Success means they can build and operate products faster, adopt shared capabilities instead of creating one-off solutions, and confidently delegate more work to agents.
WHAT YOU’LL WORK ON ✔️
- Design, build, and operate high-throughput, low-latency shared backend systems that preserve consistency and durability through retries, duplicates, reordering, partial failures, and high concurrency
- Create platform interfaces, abstractions, and paved paths with a clean developer experience that makes shared capabilities easy for product teams to adopt
- Rotate across and embed with product teams to experience their workflows directly, understand their friction, and use those insights to shape platform investments
- Map evolving product-team needs and collaborate with the Foundations team to introduce new systems and primitives, such as scalable search, database partitioning, and archival strategies
- Own and evolve our CI/CD, build, test, deployment, and release infrastructure to shorten feedback loops and make production changes safer
- Reimagine CI/CD for an agentic software development lifecycle by building isolated, reproducible, and verifiable execution environments, along with automated loops that allow agents to diagnose failures, update changes, rerun validation, and safely move work through review, deployment, and production verification
- Instrument the entire software development lifecycle and use metrics such as feedback time, CI reliability, deployment frequency, lead time, and change failure rate to identify bottlenecks and verify that platform investments improve engineering outcomes
- Own platform reliability end to end, including observability, capacity planning, incident response, root-cause analysis, and prevention
- Shape the long-term platform strategy with a high bar for introducing new infrastructure. Thoroughly evaluate vendors and existing solutions, make deliberate build-versus-buy decisions, and account for operational complexity, lock-in, migration cost, reversibility, and long-term ownership
WHAT WE’RE LOOKING FOR 🌟
- 8+ years of software development experience, with a track record of owning high-impact technical projects
- Experience building and operating distributed systems or platform services at scale, with a strong understanding of event-driven systems, queues, concurrency, idempotency, consistency, backpressure, retries, and failure recovery
- Experience building or operating CI/CD, build systems, test infrastructure, deployment platforms, or similar developer tooling
- A track record of designing platforms, frameworks, and tooling with a clean developer experience that makes complex capabilities easy for other engineers to adopt and operate
- Strong operational instincts across observability, capacity planning, incident response, and reliability
- Hands-on experience with AI coding agents, or a strong interest in building agentic CI/CD systems, verifiable execution environments, automated feedback loops, evaluations, and verification
- Exceptional pragmatism and technical judgment. You treat major infrastructure changes with the gravity they deserve and make deliberate, evidence-based decisions about when to build, buy, or improve an existing system
- Ability to move between long-term architecture and hands-on implementation while making thoughtful tradeoffs in an ambiguous environment
- Strong written and verbal communication skills, including experience documenting systems and influencing technical direction across teams
- Familiarity with TypeScript, Node.js, React, Postgres, AWS, Terraform, and queueing or streaming systems such as SQS and Kinesis is helpful, but not required
We expect strong depth in either distributed platform systems or developer infrastructure, along with an interest in working across both.
Benefits and Perks (US Only) 💖
At WorkOS, we offer resources that emphasize personal and familial well-being. We offer healthcare coverage for you and your family, including medical, dental, and vision. We offer parental leave, paid-time off and fully remote working arrangements.
- 401k matching
- Competitive Equity
- Healthcare, dental and vision coverage
- FSA, ST/LT Disability, Voluntary Life
- Carrot fertility benefits
- 20 days paid vacation + 10 holidays + unlimited sick leave
- 12 weeks fully paid parental leave
- Fitness: Monthly stipend for gyms, yoga classes, race registrations or whatever keeps you active
- Wellness: Monthly stipend for a massage, meditations class, therapy, or activities that enhance your well-being
- Commuter benefits for hybrid employees in SF/NYC
- Unlimited token usage!
Please inquire directly with our recruiting team for benefits available to those working outside the US.
Equal Opportunity Employer
WorkOS is an equal opportunity employer, committed to diversity and inclusiveness. We will consider all qualified applicants without regard to race, color, nationality, gender, gender identity or expression, sexual orientation, religion, disability or age.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Location: Singapore
Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us!
We are looking for a Enterprise Account Executive to join our dynamic team of creatives, engineers, marketers, and brilliant business folks. You aren’t the typical salesperson, and we aren’t the typical design tool company.
At Figma, we think outside the box, lift constraints that block our imagination everyday, and we expect you to do the same. With this role you’ll get in at the ground floor in a fast growing sales org. You’ll consult with our existing customer base and potential customers in driving meaningful relationships that add value to the customer experience and revenue to our bottom line.
This is a full time role that will be held from our Singapore hub.
What you'll do at Figma:
Develop executive-level relationships across our most strategic customers
Build a strong sales pipeline and exceed annual sales targets
Navigate complex sales processes through applying Command of the Message and MEDDIC
Create compelling and sophisticated business cases to effectively influence senior stakeholders and showcase the value of new products
Work closely with cross functional teams to ensure sales effectiveness
Establish and maintain relationships with key stakeholders within Strategic accounts
Be part of a team dedicated to promoting Figma to existing and new customers
Help build the foundation and processes for all customer-facing teams at Figma
We’d love to hear from you if you have:
8+ years of sales experience in a SaaS business, ideally focused on Enterprise
Experience in selling to technical audiences
Ability to close complex sales cycles and multi-thread across multiple departments
Ability to prioritize competing demands from customers and balance their needs against those of the business
Problem solving skills, a great attitude, and a resilient mindset
While it’s not required, it’s an added plus if you also have:
Experience with UX/UI design principles
Experience selling collaboration tools
Proficiency with sales and marketing automation tools
At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you’re excited about this role but your past experience doesn’t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.
At Figma we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Figma is an
equal opportunity workplace
- we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status
,
or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.
We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to
accommodations-ext@figma.com
. These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities.
Examples of accommodations include but are not limited to:
Holding interviews in an accessible location
Enabling closed captioning on video conferencing
Ensuring all written communication be compatible with screen readers
Changing the mode or format of interviews
To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates keep their cameras on during video interviews. Additionally, if hired you will be required to attend in person onboarding.
By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with
Figma's Candidate Privacy Notice
.
Application limits:
To help candidates focus on the opportunities most relevant to their skills and experience, Figma limits the number and frequency of applications. These limits apply to all roles:
Candidates may submit up to 5 applications during any rolling 30-day period.
Candidates may not reapply to the same role while an application is active or within 90 days of receiving a rejection.
Once the applicable days has passed, candidates are welcome to apply again.
Location: Toronto; San Francisco; New York; Montreal
Workplace: Remote
WHO ARE WE?
Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems.
We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that.
We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft.
We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us!
WHY THIS ROLE?
Are you energized by building high-performance, scalable and reliable machine learning systems? Do you want to help define and build the next generation of AI platforms powering advanced NLP applications? We are looking for a Site Reliability Engineer to join the Model Serving team at Cohere. The team is responsible for developing, deploying, and operating the AI platform delivering Cohere's large language models through easy to use API endpoints. In this role, you will work closely with many teams to deploy optimized NLP models to production in low latency, high throughput, and high availability environments. You will also get the opportunity to interface with customers and create customized deployments to meet their specific needs.
As a Site Reliability Engineer you will:
- Build self-service systems that automate managing, deploying and operating services.
- This includes our custom Kubernetes operators that support language model deployments.
- Automate environment observability and resilience. Enable all developers to troubleshoot and resolve problems.
- Take steps required to ensure we hit defined SLOs, including participation in an on-call rotation.
- Build strong relationships with internal developers and influence the Infrastructure team’s roadmap based on their feedback.
- Develop our team through knowledge sharing and an active review process.
You may be a good fit if you have:
- 5+ years of engineering experience running production infrastructure at a large scale
- Experience designing large, highly available distributed systems with Kubernetes, and GPU workloads on those clusters
- Experience with Kubernetes dev and production coding and support
- Experience with GCP, Azure, AWS, OCI, multi-cloud on-prem / hybrid serving
- Experience in designing, deploying, supporting, and troubleshooting in complex Linux-based computing environments
- Experience in compute/storage/network resource and cost management
- Excellent collaboration and troubleshooting skills to build mission-critical systems, and ensure smooth operations and efficient teamwork
- The grit and adaptability to solve complex technical challenges that evolve day to day
- Familiarity with computational characteristics of accelerators (GPUs, TPUs, and/or custom accelerators), especially how they influence latency and throughput of inference.
- Strong understanding or working experience with distributed systems.
- Experience in Golang, C++ or other languages designed for high-performance scalable servers).
FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS:
- A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch.
- Full health and dental benefits, including a separate budget for mental health.
- RRSP matching, 401K, Pension Scheme.
- 100% Parental Leave top-up for up to 6 months, for either parent.
- Annual enrichment benefits:
Arts & culture, fitness/wellness, quality time, and a workspace improvement credit.
Education & learning stipend for conferences, courses, and coaching.
- 6 weeks of paid vacation (30 working days!)
- Budget for traveling to other offices if you are remote, plus an annual company offsite.
HOW AND WHERE WE WORK:
- Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon.
- For those in the office: a daily lunch program, plenty of snacks, and regular community and social events.
- For those not near an office: a co-working benefit so you can work alongside others in your city.
- Everyone receives a $500 home office stipend to set up your workspace properly.
If any of the above doesn’t line up exactly with your experience, we still encourage you to apply.
We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs.
We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider.
Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.
Location: San Francisco; New York; Toronto; Montreal
Workplace: Hybrid
WHO ARE WE?
Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems.
We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that.
We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft.
We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us!
WHY THIS ROLE?
Are you energized by building high-performance, scalable and reliable machine learning systems? Do you want to help define and build the next generation of AI platforms powering advanced NLP applications? We are looking for Members of Technical Staff to join the Model Serving team at Cohere. The team is responsible for developing, deploying, and operating the AI platform delivering Cohere's large language models through easy to use API endpoints. In this role, you will work closely with many teams to deploy optimized NLP models to production in low latency, high throughput, and high availability environments. You will also get the opportunity to interface with customers and create customized deployments to meet their specific needs.
You may be a good fit if you have:
- 5+ years of engineering experience running production infrastructure at a large scale
- Experience designing large, highly available distributed systems with Kubernetes, and GPU workloads on those clusters
- Experience with Kubernetes dev and production coding and support
- Experience with GCP, Azure, AWS, OCI, multi-cloud on-prem / hybrid serving
- Experience in designing, deploying, supporting, and troubleshooting in complex Linux-based computing environments
- Experience in compute/storage/network resource and cost management
- Excellent collaboration and troubleshooting skills to build mission-critical systems, and ensure smooth operations and efficient teamwork
- The grit and adaptability to solve complex technical challenges that evolve day to day
- Familiarity with computational characteristics of accelerators (GPUs, TPUs, and/or custom accelerators), especially how they influence latency and throughput of inference.
- Strong understanding or working experience with distributed systems.
- Experience in Golang, C++ or other languages designed for high-performance scalable servers).
FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS:
- A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch.
- Full health and dental benefits, including a separate budget for mental health.
- RRSP matching, 401K, Pension Scheme.
- 100% Parental Leave top-up for up to 6 months, for either parent.
- Annual enrichment benefits:
Arts & culture, fitness/wellness, quality time, and a workspace improvement credit.
Education & learning stipend for conferences, courses, and coaching.
- 6 weeks of paid vacation (30 working days!)
- Budget for traveling to other offices if you are remote, plus an annual company offsite.
HOW AND WHERE WE WORK:
- Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon.
- For those in the office: a daily lunch program, plenty of snacks, and regular community and social events.
- For those not near an office: a co-working benefit so you can work alongside others in your city.
- Everyone receives a $500 home office stipend to set up your workspace properly.
If any of the above doesn’t line up exactly with your experience, we still encourage you to apply.
We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs.
We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider.
Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.
Location: Stockholm
ABOUT US:
AI NEEDS A NEW INFRASTRUCTURE LAYER. WE'RE BUILDING IT AT MODAL.
Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now.
Our customers include category-defining companies like Ramp https://modal.com/blog/how-ramp-built-a-full-context-background-coding-agent-on-modal, Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale.
We've passed $1B in annualized run rate, up 15x from a year ago. In October 2026 we raised a $750M Series D led by Accel at a $15.75B valuation.
Our team includes creators of popular open-source projects (e.g.,Seaborn https://github.com/mwaskom/seaborn,Luigi https://github.com/spotify/luigi), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience.
THE ROLE:
We are looking for strong engineers with experience and interest in designing, building, and maintaining the novel, high-performance systems that make up our serverless platform.
YOU MAY BE A FIT IF:
- You have 5+ years of experience writing high-quality production code
- You’ve built high-performance distributed systems at a large scale (the more battle scars, the better)
- You have strong cloud skills
- You have strong knowledge of low-level operating system foundations (Linux kernel, file systems, containers, etc.)
- You have experience with performance engineering (tell us a story of when you shaved off a few milliseconds!)
- You’re able to work in person in our Stockholm office
- You’re able to participate in our on-call rotation and respond to production incidents
NICE-TO-HAVE:
- Prior experience with Rust
Location: USA (Remote)
Workplace: Remote
Tempo is a layer-1 blockchain purpose-built for stablecoins and real-world payments, born from Stripe’s experience in global payments and Paradigm’s expertise in crypto tech.
Tempo’s payment-first design provides a scalable, low-cost predictable backbone that meets the needs of high-volume payment use cases. Our goal is to move money reliably, cheaply, and at scale. Our north star is simplicity for users: fintechs, traditional banks, merchants, platforms, and anyone else looking to move their payments into the 21st century.
We're building Tempo with design partners who are global leaders in AI, e-commerce, and financial services: Anthropic, Coupang, Deutsche Bank, DoorDash, Mercury, Nubank, OpenAI, Revolut, Shopify, Standard Chartered, Visa, and more.
We’re a team of crypto-optimists, building the infrastructure needed to bring real, substantial economic flows onchain. We like to move fast and swing for the fences — join us!
The Role
We are building a full-time internal Red Team to continuously stress-test our own infrastructure. As a security engineer, you won't just be ticking compliance boxes; you will be writing Rust fuzzers, simulating economic attacks on our testnet, and dissecting the EVM to find edge cases in our execution client. We are looking for a builder who understands that the best way to secure a protocol is to try to break it continuously. If you have a history of topping CTF leaderboards, submitting high-severity bug bounties, or building your own security tooling because the standard ones weren't good enough—this role is for you.
Responsibilities
- Proactively hunt for vulnerabilities in the Tempo protocol, consensus engine, and bridge architecture, treating our mainnet like a continuous CTF challenge.
- Design and implement security tooling and automation in liaison with the Foundry team to catch logic errors and edge cases.
- Partner with engineering teams to review critical architecture across our codebase.
- Analyze incentives and game-theoretic risks within the protocol, such as MEV and staking dynamics, to prevent economic exploits.
Qualifications
- Fluency in reading and writing production-level code in systems languages, with a strong preference for Rust.
- Deep expertise in EVM internals, including intimate knowledge of opcodes, storage slots, gas metering, and precompiles.
- Proven track record of offensive security, such as high rankings in CTFs (e.g., Paradigm CTF), high-severity bug bounty submissions, or published research.
- Experience building custom security automation or tooling rather than relying solely on off-the-shelf scanners.
- Bleeding-edge knowledge of the latest blockchain security research, including recent hacks and how these could have been mitigated.
Attributes
- High motor
- Razor-sharp thinker with precise command of language
- Concise, evidence-based communicator
- Excellent organizational and logistical skills
- Intense curiosity and open-mindedness
- Scrappiness; willingness to roll up sleeves
- Growth mindset
Задачи:
— Разработка и поддержка backend API для веб и мобильных приложений
— Проектирование и оптимизация структуры базы данных
— Реализация бизнес-логики для работы с товарами, заказами, платежами
— Разработка WebSocket соединений для чата в реальном времени
— Интеграция с внешними сервисами (платежные системы, push-уведомления)
— Оптимизация производительности приложения
— Написание документации для API
— Участие в code review
— Написание тестов для разрабатываемого функционала
Требования:
— Python 3.8+ — глубокое понимание языка, знание best practices
— Django 4.x/5.x — опыт разработки на Django не менее 2-3 лет
— Django REST Framework (DRF) — опыт создания RESTful API, знание ViewSets, Serializers, Permissions
— PostgreSQL — опыт работы с реляционными БД, оптимизация запросов, работа с индексами
— Redis — использование для кеширования, очередей задач, pub/sub
— Celery — опыт работы с асинхронными задачами, планировщиками задач (django-celery-beat)
— Django Channels — опыт разработки WebSocket приложений, работа с асинхронными консьюмерами
— JWT аутентификация — опыт реализации токен-базированной аутентификации (djangorestframework-simplejwt)
— Оптимизация: решение проблемы N+1, использование select_related, prefetch_related, аннотаций и агрегаций для высоконагруженных систем
— Проектирование API: Swagger (drf-yasg), версионирование, пагинация, фильтрация (django-filters), настройка CORS и безопасности
— Архитектура: SOLID, паттерны проектирования (Repository, Service Layer, Factory), Event-driven и микросервисная логика
— DevOps & QA: Docker (контейнеризация), Git Flow, Linux, Nginx, CI/CD
— Написание тестов (Pytest/unittest, моки, фикстуры) и подход TDD
— Дополнительно: работа с Pillow, phonenumber-field, i18n/транслитерация
— Релевантный опыт: e-commerce, маркетплейсы, системы управления заказами (OMS), мультиролевые системы, рейтинги, чаты и уведомления
— Soft Skills: командная работа, чистый код, Code Review, ответственность, фокус на безопасности и производительности
Условия:
— Полная занятость
— Удалённый формат работы
Location: Home based - Worldwide
Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. The company is a pioneer of global distributed collaboration, with 1200+ colleagues in 75+ countries and very few office based roles. Teams meet two to four times yearly in person, in interesting locations around the world, to align on strategy and execution.
The company is founder led, profitable and growing.
We are hiring engineering leaders to work across the breadth of our Ubuntu Engineering organization - leaders who care deeply for quality, performance and resilience in software, and have a proven track record for building, nurturing and developing high performing engineering teams.
This leadership track includes roles for Managers and Senior Managers . At Canonical, managers are expected to stay technical and close to the code as well as the processes and people around them.
Our teams integrate the freshest open source software, provide robust upgrade paths and engineer the future of Ubuntu. Ubuntu is not just the world’s most deployed open source operating system, it's a platform that enables innovation for millions of users across the globe. Our community represents the full breadth of the developer experience; from students, hobbyists and freelancers to high performance engineering and creative teams in corporate and academic environments.
The four key teams that ship Ubuntu are the
Foundations
: maintaining foundational software: architectures, package managers, compilers, toolchains, bootloaders, filesystems and core utilities
Server:
leading the design, evolution and future of our Ubuntu Server distribution
Desktop:
driving Ubuntu Desktop, our future immutable desktop: Ubuntu Core Desktop, WSL, gaming technology, and a suite of modern applications for the desktop crafted with Flutter
Debcrafters:
a new team responsible for the forward movement, maintenance and overall health of the Ubuntu archive: one of the most abundant repositories of open source software available today
You'll be accountable for your technical roadmap, and responsible for your team: helping them grow as engineers, do important and satisfying work, and have a great time while doing it. Technical leadership experience and a background in software engineering are necessary prerequisites for this role. You will be expected to lead, challenge, and develop strong engineers, positively influence the culture, facilitate technical delivery, and work with your team on strategy and execution
At Canonical, you will have the opportunity to engage with and contribute to the broader open source community. We're looking for individuals who can help build a thriving community and contribute with enthusiasm and precision to a broad range of technologies
Location
: We have remote roles open in every time zone.
The role entails
Based on the first round of interviews, we identify specific teams where you might be an excellent fit and conduct second-round interviews with those teams. Our leads are:
Leading their teams in elevating the Linux developer and user experience
Designing, building and shipping high quality, performant software in Rust, Go and Python
Demonstrating sound engineering principles through architecture, development and code reviews
Taking responsibility for planning, estimation and execution
Working with product management to define the vision and strategy for Ubuntu
Setting expectations with other engineering teams, senior management, and external stakeholders
Offering coaching, mentoring, technical feedback and hands-on career development
Contributing to upstream and neighboring open source projects
Authoring and improving technical and community documentation
What we are looking for in you
An exceptional academic track record from both high school and university
Undergraduate degree in Computer Science or STEM, or a compelling narrative about your alternative path
Ability to drive and deliver technical work streams going above and beyond expectations
Lead and coach others to deliver exceptional engineering work
A demonstrated passion for open source software
Significant experience with Rust, Go, Python, Flutter or C/C++
Professional written and spoken English
Excellent communication and interpersonal skills
Result-oriented, with a personal drive to meet commitments
Ability to travel twice a year, for company events up to two weeks each
Nice-to-have skills
Experience managing technical teams
Experience contributing to or leading open source projects
Experience with Linux distributions/distribution engineering
Experience with software packaging and distribution mechanisms
Performance or Security Engineering experience
What we offer you
We consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to ensure we recognize outstanding performance. In addition to base pay, we offer a performance-driven annual bonus. We provide all team members with additional benefits, which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally.
Distributed work environment with twice-yearly team sprints in person
Personal learning and development budget of USD 2,000 per year
Annual compensation review
Recognition rewards
Annual holiday leave
Maternity and paternity leave
Employee Assistance Programme
Opportunity to travel to new locations to meet colleagues
Priority Pass, and travel upgrades for long haul company events
About Canonical
Canonical is a pioneering tech firm at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open source projects and the platform for AI, IoT and the cloud, we are changing the world on a daily basis. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence - in order to succeed, we need to be the best at what we do. Canonical has been a remote-first company since its inception in 2004. Working here is a step into the future, and will challenge you to think differently, work smarter, learn new skills, and raise your game.
Canonical is an equal opportunity employer
We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products.
Whatever your identity, we will give your application fair consideration.
Hybrid - London, Berlin; Remote Friendly - Work with teammates from different time zones across the globe
УдалённоUnited States & Canada
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.