Задачи:
— Разрабатывать backend-сервисы на C++20 для электронной трейдинговой платформы.
— Работать с логикой переговоров и исполнения сделок.
— Разрабатывать интеграции с внутренними и внешними системами.
— Работать с микросервисной и распределенной архитектурой.
— Участвовать в проектировании новой функциональности.
— Разбираться с проблемами в production вместе с QA и Support.
— Работать в международной команде разработчиков и представителей бизнеса.
Требования:
— 5+ лет коммерческой разработки на C++.
— Сильный C++17/20.
— Хорошее понимание STL, templates и generic programming.
— RAII, object lifetime, data structures & algorithms.
— Базовое понимание multithreading и concurrency.
— Опыт разработки под Linux.
— Опыт работы со сложными backend / distributed systems.
— Умение самостоятельно разбираться в проблемах, сообщать о блокерах и нормально работать с командой.
— Английский B2+.
— Electronic trading / financial markets (плюсом).
— FIX, market data, exchanges, order management (плюсом).
— Fixed income / equities / derivatives (плюсом).
— FlatBuffers / Protobuf (плюсом).
— Redis, messaging / pub-sub (плюсом).
— Python (плюсом).
— CMake / Conan (плюсом).
Условия:
— Полностью удаленный формат работы.
— Релокационный пакет в Польшу.
— Долгосрочная работа над большой production-системой, без коротких проектов и bench.
— Международная команда сильных C++ инженеров.
Location: Canada; United States
Workplace: Remote
ABOUT DOCKER
Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout.
We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default.
_______________________________________________________________________
Docker is looking for a Senior Sales Enablement Program Manager to design and produce the training and enablement content that powers our Go-To-Market (GTM) team. Reporting to the Head of Sales Enablement, you will work cross-functionally with Product Marketing (PMM), Product, Marketing, technical subject matter experts — including our AI Governance (AIG) overlay team — and GTM leaders to identify content needs, build clear requirements, and produce field-ready content — documents, videos, Mindtickle courses, quizzes, and certifications — that fuels GTM execution, effectiveness, and accuracy.
This role takes real technical understanding: you’ll need to get comfortable with how Docker’s product works — including newer, more technical areas like AI Governance — and translate that technical depth into simple, sales-ready value positioning the field can use with confidence. This isn’t a fully technical role, but it does require the curiosity and aptitude to learn technical features well enough to explain them simply.
This is a hands-on, creative role for someone who loves translating complex technical ideas into clear, engaging learning experiences, and who cares just as much about keeping content easy to find as they do about making it great. If you enjoy partnering across teams, building a single source of truth for enablement content, and making sure the field can always find what they need, this role is for you.
RESPONSIBILITIES
Content Needs & Requirements
- Partner with PMM, Product, Marketing, technical subject matter experts, and GTM leaders to identify content needs and translate them into clear requirements.
- Turn input from Sales and cross-functional stakeholders into structured content briefs and production plans.
- Prioritize content requests based on business impact, GTM execution needs, and field urgency.
Content Production
- Write, design, and produce enablement content across formats: documents, playbooks, one-pagers, and decks.
- Build and maintain courses, quizzes, and certifications for onboarding and ongoing training within Mindtickle.
- Develop scripts, storyboards, and recordings for training and demo videos in partnership with subject matter experts.
- Partner with our AI Governance (AIG) overlay team to produce enablement content — feature walkthroughs, FAQs, talk tracks, and battle cards — that translates technical AI Governance capabilities into clear, sales-ready value positioning.
- Build content that reinforces and extends Docker’s Command of the Message sales methodology, ensuring messaging, positioning, and value language stay consistent across all enablement materials.
Cross-Functional Collaboration
- Work closely with PMM, Product, Marketing, and technical subject matter experts to ensure content is accurate, timely, and aligned to launches and positioning.
- Partner with GTM leaders to make sure training collateral supports GTM execution, effectiveness, and accuracy in the field.
- Build a working technical understanding of Docker’s product — including AI Governance and other technical capabilities — directly from teams like AIG, then translate that understanding into content the field can use with confidence.
- Serve as a liaison between Sales and Product, Marketing, and PMM to keep content grounded in what the field actually needs.
Content Governance & Findability
- Own a single source of truth for enablement content, retiring duplicates and outdated material as new content ships.
- Organize and tag content so it’s easy to search and find within Mindtickle and other systems, for both Sales and the broader GTM audience.
- Maintain a consistent voice, structure, and visual standard across all enablement content.
- Use completion data, quiz results, and field feedback to identify what’s working and what needs to be reworked.
QUALIFICATIONS
Required
- 4+ years of experience creating content in a sales enablement, marketing, instructional design, or training role, ideally in SaaS.
- Strong technical aptitude and curiosity — comfortable building a working understanding of Docker’s product and features (including more technical areas like AI Governance) and translating that understanding into simple, sales-ready value positioning. This role does not require deep engineering expertise, but does require the ability to learn technical concepts and explain them simply.
- Strong writing and editing skills, with the ability to turn complex or technical information into clear, engaging content.
- Experience producing video content, from scripting through basic editing.
- Comfort building courses, assessments, or certifications in an LMS (Mindtickle experience a plus).
- Proven ability to manage multiple content projects at once and hit deadlines without sacrificing quality.
- Strong cross-functional collaboration skills — you can work with PMM, Product, Marketing, technical subject matter experts, and GTM leaders, and manage competing priorities.
- Experience organizing content so it’s easy to search, find, and trust as a single source of truth.
- Excellent attention to detail and a strong sense of visual and brand consistency overall.
Strongly Preferred
- Experience creating enablement content for technical, platform, or security/governance-related features (e.g., access controls, compliance, or AI governance).
- Hands-on experience with Mindtickle or a similar sales enablement/LMS platform.
- Experience with video recording/editing tools (e.g., Camtasia, Vidyard, Loom).
- Familiarity with SaaS sales motions and Command of the Message or similar frameworks.
- Experience organizing content libraries or knowledge bases — tagging, taxonomy, and search — in a CMS or LMS.
- Background in graphic design or presentation design.
- Exposure to containerization, DevOps tooling, or developer platforms (Docker experience a significant plus).
WHAT TO EXPECT
We believe in setting people up to win. Here’s what great looks like in this role:
First 30 Days — Learn & Listen
- Ramp on Docker’s products, GTM motion, and existing enablement content library.
- Meet with PMM, Product, Marketing, and GTM leaders to understand current content gaps.
- Get up to speed on Mindtickle and the team’s other content and enablement tools.
First 90 Days — Take Ownership
- Own production of at least one major piece of enablement content, start to finish, in partnership with PMM, Product, or Marketing.
- Ship enablement content for at least one technical feature or launch — potentially in partnership with the AIG overlay team — translating it into clear value positioning.
- Begin organizing the content library so it’s easier to search and find.
First Year — Drive Impact
- Be the go-to owner for enablement content production, trusted by PMM, Product, Marketing, and GTM leaders.
- Maintain a single source of truth for content that’s current, easy to navigate, and consistently used by Sales and the broader GTM audience.
- Use engagement and feedback data to continuously raise the bar on content quality and findability.
Docker does not offer visa sponsorship for this role.
Compensation & Equity
Canada: CA$184,450– CA$263,500 + equity
United States: $133,000 – $190,00 + equity
______________________________________________________________________
POSTING INFORMATION
- Open vacancy: This posting is for an existing open role.
- AI in hiring: Docker may use AI-assisted tools during our recruiting process.
- Interview recordings: Candidates will be invited to opt in to interview recordings to support interviewer calibration and consistent evaluations. Recordings are optional and require explicit consent.
______________________________________________________________________
PERKS & BENEFITS
- Remote-first by design – Work from your home, with offices in Seattle and Paris for connection and collaboration.
- Flexibility that fits your life – We trust you to manage your schedule while delivering great work.
- Time to recharge – Generous PTO, designated quarterly Whaleness Days, and a designated end-of-year Whaleness break.
- Home office support – Set up your workspace for comfort and success.
- Technology stipend – Equivalent to US$100 net per month to help support your work.
- Learning & development – Annual stipend for conferences, courses, certifications, and continued learning.
- Parental leave – 16 weeks of paid parental leave after six months of employment.
- Equity for all full-time employees – Share in Docker's long-term success as we continue to grow.
- Comprehensive benefits – Medical, retirement, and paid holidays vary by country.
- Docker swag – Because representing the whale never gets old.
Docker is proud to be an equal opportunity employer. We are committed to building a team that reflects a broad range of backgrounds, experiences, and perspectives. We believe diverse teams build better products, make better decisions, and better serve our global community.
#LI-REMOTE
Location: London, UK
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 $200B in annualized spend flows in and out of 70,000+ 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 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
The Money Platform, International team builds the infrastructure that powers Ramp's expansion into global markets. We handle international payments, multi-currency operations, and compliance with regional requirements — the foundational platform that enables Ramp to serve customers beyond the US.
International expansion is core to Ramp's growth strategy, and this team directly unlocks it. We work at the intersection of greenfield and scale: launching new markets from 0 to 1 while maturing the systems that already run. The platform we build handles cross-border payments, multi-currency accounting, and integrations with international banking rails — giving every other team a reliable foundation to build on.
What You'll Do
- Build payment infrastructure that works across multiple countries, currencies, and regulatory regimes
- Design multi-currency accounting and reconciliation systems at scale
- Integrate with international banking systems and payment rails (SEPA, BACS, and SWIFT)
- Take on both 0-1 work (launching new markets) and 1-N work (scaling existing ones) simultaneously
- Collaborate cross-functionally with compliance, product, ops, and external partners to navigate complex regional requirements
- Own problems end-to-end — from architecture to production reliability to partner integrations
What You Need
- 5+ years of backend or platform engineering experience in high-scale production environments
- Strong systems design skills — comfortable taking ambiguous requirements and building reliable, maintainable solutions
- Experience working in fast-moving environments with high ambiguity and independent ownership
- Comfort with distributed systems, performance optimization, and production reliability
- Strong cross-functional collaboration skills
Nice to Have
- Experience in fintech, payments, or capital markets (international payment rails, FX, multi-currency ledgers)
- Familiarity with financial concepts: multi-currency accounting, reconciliation, cross-border compliance
- Experience integrating with third-party financial APIs or international banking partners
- Interest in or exposure to international regulatory environments and compliance requirements
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: Canada; United States
Workplace: Remote
ABOUT DOCKER
Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout.
We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default.
_______________________________________________________________________
Docker is looking for a Sales Enablement Specialist to support the day-to-day enablement needs of our Go-To-Market (GTM) organization. Reporting to the Head of Sales Enablement, you will manage core enablement systems, run role-specific new hire onboarding, organize and execute trainings, build the reporting that shows how enablement is landing with the field, and help keep the enablement team operating smoothly.
This is a great role for an enablement practitioner who enjoys variety — one day you’re pulling a Gong and Mindtickle report — translating data to strategic action, the next you’re running a live onboarding session with new hires, and the next you’re partnering with Marketing on a launch. If you’re organized, resourceful, and energized by helping the sales team succeed, this role is for you.
RESPONSIBILITIES
Systems & Administration
- Own day-to-day administration of Mindtickle and other enablement systems: content, users, assignments, and reporting.
- Keep enablement systems organized, up to date, and easy for the field to navigate.
- Troubleshoot access and content issues, and act as the go-to point of contact for tool support.
New Hire Onboarding & Ramp
- Build and run role-specific onboarding programs for new Sales and GTM hires, from curriculum design through live facilitation.
- Meet regularly with new hires throughout ramp to check progress, answer questions, and be their go-to guide through onboarding.
- Directly train new hires on core systems and processes (e.g., Salesforce, Mindtickle, Gong, and sales workflows) as part of onboarding.
- Arrange and coordinate subject matter experts from Sales, Product, and other teams to support onboarding training and education needs.
- Maintain onboarding curricula and materials, updating them as products, tools, and processes evolve.
- Track new hire progress and readiness, flagging gaps to managers and enablement leadership.
Sales Insights & Reporting
- Build, monitor, and maintain reporting on enablement program participation, completion, and effectiveness across Mindtickle and other systems.
- Partner with Sales leadership to translate Gong call analytics and other field data into actionable insights on rep performance, messaging adoption, and skill gaps.
- Use enablement and conversation intelligence data to identify where the GTM team needs more support, and recommend enablement programs to close the gaps.
- Present reporting and insights to enablement and Sales leadership to inform program priorities.
Training & Program Execution
- Organize and execute ongoing sales enablement trainings, workshops, and certifications for the field.
- Handle logistics for enablement programs: scheduling, communications, materials, and follow-up.
- Create sales enablement content as needed — quick-reference guides, updates, and job aids.
Cross-Functional Support & Operations
- Work cross-functionally with Marketing, Product, and other stakeholders to support enablement needs.
- Support the operational backbone of the Enablement team: calendars, budgets, and program tracking.
- Gather feedback data to help the team continuously improve programs.
QUALIFICATIONS
Required
- 2+ years of experience in sales enablement, sales operations, learning & development, or a related role, ideally in SaaS.
- Hands-on experience administering an LMS or sales enablement platform (Mindtickle strongly preferred).
- Experience supporting or running onboarding programs for a sales or GTM team, including live facilitation.
- Experience building or interpreting reporting on enablement participation, completion, and program effectiveness.
- Familiarity with conversation intelligence platforms such as Gong (or similar), and using call data to surface coaching and enablement insights.
- Strong organizational and project management skills — you can juggle multiple programs and deadlines.
- Comfortable creating content, including documents, guides, and presentations.
- Excellent communication skills and a service-minded, “how can I help” approach to the field.
- Ability to work cross-functionally with Marketing, Product, and Sales leadership.
Strongly Preferred
- Direct experience administering Mindtickle and Gong (or a similar sales engagement/conversation intelligence platform).
- Experience designing or facilitating live or virtual sales training sessions.
- Familiarity with sales methodologies such as Command of the Message or similar frameworks.
- Comfort working with reporting or BI tools (e.g., Excel, Google Sheets, Tableau, Sigma) to build enablement dashboards.
- Exposure to containerization, DevOps tooling, or developer platforms (Docker experience a significant plus).
WHAT TO EXPECT
We believe in setting people up to win. Here’s what great looks like in this role:
FIRST 30 DAYS — LEARN & LISTEN
- Ramp on Docker’s products, GTM motion, and current enablement programs and systems.
- Shadow onboarding sessions and get hands-on in Mindtickle and Gong.
- Build relationships across Sales, Marketing, Product, and the Enablement team.
FIRST 90 DAYS — TAKE OWNERSHIP
- Own day-to-day Mindtickle administration and at least one full onboarding cohort, including live sessions and 1:1s with new hires.
- Stand up an initial enablement reporting view covering participation, completion, and Gong-based insights.
- Independently execute a training or certification program for the field.
FIRST YEAR — DRIVE IMPACT
- Be the trusted owner of enablement systems, onboarding, and reporting, with new hires ramping faster and leadership relying on your insights.
- Run trainings and programs independently and be seen as a dependable Enablement partner.
- Use enablement and Gong data to proactively recommend where the GTM team needs more support.
Docker does not offer visa sponsorship for this role.
Compensation & Equity
Canada: CA$135,100– CA$193,000 + equity
United States: $97,300 – $139,00 + equity
______________________________________________________________________
POSTING INFORMATION
- Open vacancy: This posting is for an existing open role.
- AI in hiring: Docker may use AI-assisted tools during our recruiting process.
- Interview recordings: Candidates will be invited to opt in to interview recordings to support interviewer calibration and consistent evaluations. Recordings are optional and require explicit consent.
______________________________________________________________________
PERKS & BENEFITS
- Remote-first by design – Work from your home, with offices in Seattle and Paris for connection and collaboration.
- Flexibility that fits your life – We trust you to manage your schedule while delivering great work.
- Time to recharge – Generous PTO, designated quarterly Whaleness Days, and a designated end-of-year Whaleness break.
- Home office support – Set up your workspace for comfort and success.
- Technology stipend – Equivalent to US$100 net per month to help support your work.
- Learning & development – Annual stipend for conferences, courses, certifications, and continued learning.
- Parental leave – 16 weeks of paid parental leave after six months of employment.
- Equity for all full-time employees – Share in Docker's long-term success as we continue to grow.
- Comprehensive benefits – Medical, retirement, and paid holidays vary by country.
- Docker swag – Because representing the whale never gets old.
Docker is proud to be an equal opportunity employer. We are committed to building a team that reflects a broad range of backgrounds, experiences, and perspectives. We believe diverse teams build better products, make better decisions, and better serve our global community.
#LI-REMOTE
Location: Remote, Global
Workplace: Remote
About Supabase
Supabase is the Postgres development platform, built by developers for developers. We provide a complete backend solution including Database, Auth, Storage, Edge Functions, Realtime, and Vector Search. All services are deeply integrated and designed for growth.
About the Role
We're looking for a FinOps Engineer to help drive cost optimization and cloud financial governance across our AWS infrastructure and GCP footprint. You'll work cross-functionally with Engineering, Finance, and Product to find and ship savings, build the tooling necessary to maximize efficiency of every dollar spent in the cloud, and cultivate a culture of cost awareness across engineering teams.
This is a hands-on engineering role, not an analyst seat. You'll do the schlep work other teams don't have time for, digging into a bucket's access pattern, writing the Terraform or Lambda that ships the fix, working on a product feature chasing a number until it reconciles, and influencing product decisions when cost to reliability tradeoffs hit. Strong communication matters as much as technical depth, you'll regularly explain a savings case to an engineering team, a finance stakeholder, and a leadership audience in the same week.
What You'll Be Responsible For
In this role, you'll:
- Find and ship savings across AWS and GCP: Analyze billing, usage, and cost trends to identify opportunities, rightsizing, storage lifecycle policies, data transfer, and spot/auto-scaling. Take ideas from identification through to a realized dollar figure, not just a recommendation.
- Build and maintain cost attribution: Tagging policies, cost allocation, and chargeback/showback so engineering teams can see and own their own spend. This is foundational work other savings work depends on.
- Automate cost governance: Build automated cost reporting, anomaly detection, and alerting. Write the scripts and infrastructure-as-code (Python, Terraform, Lambda) that enforce cost policy rather than relying on manual review.
- Partner with engineering on architecture decisions: Bring cost into the room early, cost-efficiencies are cheaper to get right at design than to retrofit.
- Work with Finance on forecasting and reporting: Support budget tracking and financial KPIs; build dashboards engineering and finance can both read.
You Might Be a Good Fit If You
- Have strong AWS expertise and working GCP knowledge, including pricing models, billing structures, and cost optimization mechanics.
- Have automation and scripting skills: Python, Terraform/ pulumi, Lambda, or Bash
- Are comfortable with cost/billing tooling: AWS Cost Explorer, Cost & Usage Reports, GCP Billing Reports, and BI/dashboarding (we use Hex).
- Have experience with, or are comfortable picking up, Linear and Notion as the system of record for tracking and documenting FinOps work.
- Experience with a dedicated cloud cost management platform (e.g. CloudZero, Vantage, or similar) is a plus, not required.
- Can analyze cost data and present it clearly to both technical and non-technical audiences.
- Have prior experience in a FinOps, cloud cost management, or cloud governance role.
- Are energized by doing the unglamorous, high-leverage work (the schlep) that unblocks other teams, and by working cross-functionally without positional authority.
WHAT WE OFFER
- Fully Remote
We hire globally. We believe you can do your best work from anywhere. There are no Supabase offices, but we provide a WeWork membership or co-working allowance you can use anywhere in the world.
- ESOP
Every team member receives ESOP (equity ownership) in the company. We want everyone to share in the upside of what we’re building together.
- Tech Allowance
Use this budget to set up your ideal work environment—laptop, monitor, headphones, or whatever helps you do your best work.
- Health Benefits
Supabase covers 100% of health insurance for employees and 80% for dependents, wherever you are. Your wellbeing and your family’s health are important to us.
- Annual Off-Sites
Once a year, the entire company gathers in a new city for a week of connection, collaboration, and fun. It’s a highlight of our year.
- Flexible Work
We operate asynchronously and trust you to manage your own time. You know what needs to be done and when.
- Professional Development
Every team member receives an annual education allowance to spend on learning—courses, books, conferences, or anything that supports your growth.
ABOUT THE TEAM
Supabase was born-remote and open-source-first. We believe our globally distributed team is our secret weapon in building tools developers love.
- ~400 team members
- 60+ countries
- 20+ languages spoken
- Over $1B raised (including our $500M Series F)
- 540,000+ community members
We move fast, build in public, and use what we ship. If it’s in your project, we probably use it in ours too. We believe deeply in the open-source ecosystem and strive to support—not replace—existing tools and communities.
Location: Hybrid - San Francisco, New York City
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 Software Engineer to join our Platform team. You will build the observability systems that give Vercel visibility into how we build, ship, and operate our systems. Core Platform owns Vercel’s reliability, resilience, and engineering velocity. We’re looking for engineers to create observability for everything from cost attribution to deployment velocity, alongside the logs, metrics, and traces necessary to optimize how Vercel builds its systems. This is a role with a wide breadth where we quickly develop critical systems and improve the entire Vercel code base. You will report to Eric Larson, Engineering Manager, Platform and will be located onsite, hybrid, or remote.
If you’re based within a pre-determined commuting distance of one of our offices (SF, NY, London, or Berlin), the role includes in-office anchor days on Monday, Tuesday, and Friday, even if the role is listed as remote. For location-specific details, please connect with our recruiting team.
What you will do:
Design and build high-scale, internal observability systems (metrics, logs, and traces) that give engineering and the business visibility into Vercel's own infrastructure.
Build cost attribution and chargeback tooling so spend can be accurately mapped to the parts of the business driving it, reducing reliance on third-party tools like Datadog.
Partner with Backend and Platform teams to instrument services for compliance, auditing, and record-keeping requirements.
Evaluate, integrate, and help operate observability infrastructure across our existing vendors and the CNCF ecosystem.
Ship pragmatic, high-leverage visibility quickly that drives improvement in how we build, deploy, and operate our systems.
Work closely with Backend and Platform engineers to scale observability infrastructure to the throughput and cardinality of Vercel's full production traffic.
About you:
Proficient in TypeScript, with backend/infrastructure experience.
Hands-on experience with Go, Rust, or Zig in production systems.
Experience with distributed computing systems at scale.
Experience with cloud infrastructure, including object storage.
Familiarity with observability tooling and concepts (Datadog, Grafana, New Relic, Splunk, or CNCF-based stacks such as Prometheus-compatible backends).
Bonus if you:
Have contributed to or worked closely with CNCF observability projects.
Built, scaled, and improved internal developer platforms.
Benefits & Compensation:
Competitive compensation package, including equity.
Inclusive Healthcare Package.
Learn and Grow - we provide mentorship and send you to events that help you build your network and skills.
Flexible Time Off.
We will provide you the gear you need to do your role, and a WFH budget for you to outfit your space as needed.
The San Francisco, CA base pay range for this role is $208,000-$312,000. Actual salary will be based on job-related skills, experience, and location. Compensation outside of San Francisco may be adjusted based on employee location. The total compensation package may include benefits, equity-based compensation, and eligibility for a company bonus or variable pay program depending on the role. Your recruiter can share more details during the hiring process.
Disclosures:
Privacy:
Please review our
Job Applicant Privacy Policy
for more information on how we handle your data.
Equal Opportunity:
Vercel is committed to fostering and empowering an inclusive community within our organization. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law. Vercel encourages everyone to apply for our available positions, even if they don't necessarily check every box on the job description.
Location: Canada (Remote)
Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at
grafana.com
and follow us on
LinkedIn
and
X
.
We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do.
You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity.
This is a remote position. We are seeking candidates in US and Canada (EST/CST time zones)
The Opportunity
About Grafana Frontend
The Grafana Frontend group is responsible for the end to end user experience on Grafana the observability product and Grafana the platform used by many engineers to build plugins. Our squads are responsible for dashboards, data visualization and manipulation, navigation across the ecosystem, sharing experience, content search,organisation and more.
You'll also have the opportunity to work across the Grafana Frontend team and partner with other squads within the Grafana department to drive innovation and solve complex engineering challenges.
The squad: DataViz
We build and evolve the Grafana Visualizations. We want to give our users the ability to visualize their data in a way that’s easy to set up and understand, so they can pull out interesting and valuable insights.
Some of our recent projects include:
Externalisation of our core visualization to be independently releasable and remove interdependencies
GraphViz
: Visualize relationships, flows, and architectures using the Graphviz DOT language with live metrics from any Grafana data source.
Raising the bar on quality and reliability: improving our test coverage, introduce a new testing strategy and tooling for visual regressions
Refresh the look and feel of our existing
visualizations
. E.g
Table
and
Gauge
Our work is open source, you can browse
grafana/grafana on GitHub
directly to see how we build our software. Our stack is primarily Typescript, React, and
uPlot
and
eCharts
for our visualisations.
What you’ll be doing
Lead multi-quarter technical initiatives from problem framing through rollout. Including getting user feedback and measuring whether what you shipped actually worked
Mentor and collaborate with other engineers. Raise the engineering bar through code review, design feedback, pairing on hard problems, and writing that leaves the team better than you found it.
Participate in on-call for the services you help build, and be a force multiplier in incident response and post-incident learning.
Provide technical support in customer escalations and help us identify areas of high friction to address.
Cross-squad collaboration: Represent the team's work outside the team, write the design proposals, run the demos, and make the case for our roadmap in cross-team discussion.
We invest heavily in developer productivity. You can use modern AI coding assistants as part of your daily workflow (your choice of tools, within security guidelines), backed by a company-funded usage budget so you can iterate quickly without unnecessary friction. We encourage pragmatic AI-assisted development: faster prototyping, test generation, refactors, documentation, and incident follow-ups—always with strong code review and quality standards. You'll also have access to the latest frontier models from OpenAI, Anthropic, and Google.
What makes you a great fit:
We highly value those who are
intellectually curious
, who
default to transparency
, possess a high
bias towards action
, and who are also
kind and enjoy working as a team
.
Technical leadership
. You have solid experience leading teams through projects, mentoring other engineers and serving as a force-multiplier. You communicate clearly in a fully remote, asynchronous environment.
You
take responsibility for operating the software you have built
. You have experience being on-call, supporting software in production, ensuring reliability and responding to incidents as needed.
You
enjoy working on complex solutions
, building production software systems. You’re a self-starter, capable of tackling complex engineering problems with minimal supervision.
User focus and pragmatism
. You break complex problems into short feedback loops: analyze, design, deliver an MVP, learn, iterate.
AI experience with a practical mindset
: You’re familiar with AI technologies and frameworks, and you focus on delivering high-quality solutions that work in the real world, not just in theory.
You
care about our community
of users and contributors and are keen to be an active Grafana Community Contributor.
Bonus points for:
Open-source contribution or maintainership, and comfort engaging a community in the open.
Have an active interest in observability (Metrics, Logs and Traces) and have experience with tools like Grafana, Prometheus, or other observability platforms.
Experience as an on-call user of Grafana, Prometheus, Loki, or Tempo in a previous role (or on a homelab).
Experience in a fully remote, globally distributed team.
In Canada, the compensation range for this role is $186,368 - $223,642 CAD. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally.
*Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process.
Why You’ll Thrive at Grafana Labs:
100% Remote, Global Culture -
As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose.
Scaling Organization
– Tackle meaningful work in a high-growth, ever-evolving environment.
Transparent Communication
– Expect open decision-making and regular company-wide updates.
Innovation-Driven
– Autonomy and support to ship great work and try new things.
Open Source Roots
– Built on community-driven values that shape how we work.
Empowered Teams
– High trust, low ego culture that values outcomes over optics.
Career Growth Pathways
– Defined opportunities to grow and develop your career.
Approachable Leadership
– Transparent execs who are involved, visible, and human.
Passionate People
– Join a team of smart, supportive folks who care deeply about what they do.
In-Person onboarding
- We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it.
Balance is Key
- We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect.
*We will comply with local legislation where applicable.
Equal Opportunity Employer:
Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow.
Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings.
#LI-Remote
For information about how your personal data is used once you’ve applied to a job, check out our
privacy policy
.
Location: United States (Remote)
Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at
grafana.com
and follow us on
LinkedIn
and
X
.
We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do.
You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity.
This is a remote position. We are seeking candidates in US and Canada (EST/CST time zones)
The Opportunity
About Grafana Frontend
The Grafana Frontend group is responsible for the end to end user experience on Grafana the observability product and Grafana the platform used by many engineers to build plugins. Our squads are responsible for dashboards, data visualization and manipulation, navigation across the ecosystem, sharing experience, content search,organisation and more.
You'll also have the opportunity to work across the Grafana Frontend team and partner with other squads within the Grafana department to drive innovation and solve complex engineering challenges.
The squad: DataViz
We build and evolve the Grafana Visualizations. We want to give our users the ability to visualize their data in a way that’s easy to set up and understand, so they can pull out interesting and valuable insights.
Some of our recent projects include:
Externalisation of our core visualization to be independently releasable and remove interdependencies
GraphViz
: Visualize relationships, flows, and architectures using the Graphviz DOT language with live metrics from any Grafana data source.
Raising the bar on quality and reliability: improving our test coverage, introduce a new testing strategy and tooling for visual regressions
Refresh the look and feel of our existing
visualizations
. E.g
Table
and
Gauge
Our work is open source, you can browse
grafana/grafana on GitHub
directly to see how we build our software. Our stack is primarily Typescript, React, and
uPlot
and
eCharts
for our visualisations.
What you’ll be doing
Lead multi-quarter technical initiatives from problem framing through rollout. Including getting user feedback and measuring whether what you shipped actually worked
Mentor and collaborate with other engineers. Raise the engineering bar through code review, design feedback, pairing on hard problems, and writing that leaves the team better than you found it.
Participate in on-call for the services you help build, and be a force multiplier in incident response and post-incident learning.
Provide technical support in customer escalations and help us identify areas of high friction to address.
Cross-squad collaboration: Represent the team's work outside the team, write the design proposals, run the demos, and make the case for our roadmap in cross-team discussion.
We invest heavily in developer productivity. You can use modern AI coding assistants as part of your daily workflow (your choice of tools, within security guidelines), backed by a company-funded usage budget so you can iterate quickly without unnecessary friction. We encourage pragmatic AI-assisted development: faster prototyping, test generation, refactors, documentation, and incident follow-ups—always with strong code review and quality standards. You'll also have access to the latest frontier models from OpenAI, Anthropic, and Google.
What makes you a great fit:
We highly value those who are
intellectually curious
, who
default to transparency
, possess a high
bias towards action
, and who are also
kind and enjoy working as a team
.
Technical leadership
. You have solid experience leading teams through projects, mentoring other engineers and serving as a force-multiplier. You communicate clearly in a fully remote, asynchronous environment.
You
take responsibility for operating the software you have built
. You have experience being on-call, supporting software in production, ensuring reliability and responding to incidents as needed.
You
enjoy working on complex solutions
, building production software systems. You’re a self-starter, capable of tackling complex engineering problems with minimal supervision.
User focus and pragmatism
. You break complex problems into short feedback loops: analyze, design, deliver an MVP, learn, iterate.
AI experience with a practical mindset
: You’re familiar with AI technologies and frameworks, and you focus on delivering high-quality solutions that work in the real world, not just in theory.
You
care about our community
of users and contributors and are keen to be an active Grafana Community Contributor.
Bonus points for:
Open-source contribution or maintainership, and comfort engaging a community in the open.
Have an active interest in observability (Metrics, Logs and Traces) and have experience with tools like Grafana, Prometheus, or other observability platforms.
Experience as an on-call user of Grafana, Prometheus, Loki, or Tempo in a previous role (or on a homelab).
Experience in a fully remote, globally distributed team.
In the United States, the compensation range for this role is $174,986 - $209,983 USD. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally.
*Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process.
Why You’ll Thrive at Grafana Labs:
100% Remote, Global Culture -
As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose.
Scaling Organization
– Tackle meaningful work in a high-growth, ever-evolving environment.
Transparent Communication
– Expect open decision-making and regular company-wide updates.
Innovation-Driven
– Autonomy and support to ship great work and try new things.
Open Source Roots
– Built on community-driven values that shape how we work.
Empowered Teams
– High trust, low ego culture that values outcomes over optics.
Career Growth Pathways
– Defined opportunities to grow and develop your career.
Approachable Leadership
– Transparent execs who are involved, visible, and human.
Passionate People
– Join a team of smart, supportive folks who care deeply about what they do.
In-Person onboarding
- We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it.
Balance is Key
- We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect.
*We will comply with local legislation where applicable.
Equal Opportunity Employer:
Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow.
Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings.
#LI-Remote
For information about how your personal data is used once you’ve applied to a job, check out our
privacy policy
.
Задачи:
— Администрировать продуктивные и тестовые кластеры ClickHouse, контролировать состояние шардов, реплик, Distributed-таблиц и ReplicatedMergeTree-таблиц;
— Диагностировать replication queue, merges, mutations, inserts, деградацию запросов и проблемы с дисковой подсистемой;
— Анализировать системные таблицы ClickHouse и состояние кластера;
— Участвовать в изменении топологии кластера: добавление шардов, реплик, серверов, изменение Distributed-таблиц;
— Планировать горизонтальное масштабирование ClickHouse-кластера;
— Оптимизировать схемы данных, партиционирование, ключи сортировки, TTL, индексы, storage policy и настройки сервера;
— Работать с хранением данных: локальные диски, LUN, DAS, hot / warm storage, S3-совместимое хранилище;
— Прорабатывать дедупликацию данных, повышение уровня сжатия и механизм токенизации / full text search по событиям;
— Настраивать и сопровождать ClickHouse Keeper / ZooKeeper;
— Настраивать TLS/SSL для клиентских подключений и межсерверного взаимодействия;
— Разрабатывать и проверять backup/restore и disaster recovery;
— Настраивать мониторинг, алерты и дашборды по ClickHouse;
— Готовить Ansible playbooks / roles, runbook’и, инструкции, чек-листы и технические отчёты.
— Администрировать продуктивные и тестовые инсталляции MariaDB;
— Контролировать состояние серверов, репликации, соединений, транзакций, блокировок и фоновых процессов;
— Настраивать и сопровождать репликацию: master-slave, master-master, GTID-based replication;
— Диагностировать replication lag, ошибки SQL thread / IO thread, рассинхронизацию данных и конфликты при master-master-схемах;
— Участвовать в миграции MariaDB с master-master-репликации на Galera Cluster;
— Настраивать, сопровождать и диагностировать Galera Cluster;
— Прорабатывать HA-архитектуру MariaDB: failover, fencing, VIP / proxy layer, split-brain-риски;
— Разрабатывать и проверять disaster recovery-сценарии, RPO / RTO и восстановимость резервных копий;
— Анализировать производительность: slow queries, EXPLAIN, индексы, locks, deadlocks, buffer pool, connection pool, disk IO;
— Оптимизировать конфигурацию MariaDB с учётом нагрузки, объёма данных, RAM, CPU, дисковой подсистемы и сети;
— Настраивать TLS/SSL для клиентских подключений и репликации;
— Настраивать мониторинг, алерты, дашборды и runbook’и по MariaDB.
— Участвовать в расследовании production-инцидентов, связанных с ClickHouse, MariaDB, Linux, сетью или дисковой подсистемой;
— Анализировать метрики, логи, системные таблицы, состояние репликации, блокировки, диски, сеть и конфигурации;
— Формулировать технические гипотезы, проверять их и отделять первопричину от сопутствующих факторов;
— Готовить технические выводы по итогам инцидентов и участвовать в postmortem-разборах;
— Разворачивать тестовые стенды ClickHouse и MariaDB для проверки архитектурных решений;
— Проверять обновления, изменение топологии, расширение хранилища, storage policy и параметры ClickHouse / MariaDB до применения в production;
— Автоматизировать типовые операции через Ansible / Bash / Python / Terraform или аналогичные инструменты;
— Взаимодействовать с заказчиками, объяснять технические риски понятным языком, предлагать решения и лидировать технические обсуждения.
Требования:
— Практический опыт промышленной эксплуатации ClickHouse;
— Понимание архитектуры ClickHouse: shards, replicas, Distributed tables, ReplicatedMergeTree, MergeTree family;
— Опыт диагностики replication queue, merges, mutations, insert/select latency, деградации запросов и проблем с дисковой подсистемой;
— Понимание партиционирования, ключей сортировки, TTL, storage policies, disks, volumes, data skipping indexes;
— Опыт изменения топологии ClickHouse-кластера или глубокое понимание порядка и рисков таких изменений;
— Опыт настройки TLS/SSL для ClickHouse;
— Опыт эксплуатации MariaDB в продуктивной или близкой к продуктивной среде;
— Понимание MariaDB, InnoDB, транзакций, индексов, блокировок, deadlocks, isolation levels;
— Опыт настройки и диагностики репликации MariaDB;
— Понимание GTID, binary logs, relay logs, replication lag, failover и рисков master-master-репликации;
— Опыт настройки backup/restore MariaDB и проверки восстановимости резервных копий;
— Опыт диагностики производительности MariaDB: slow query log, EXPLAIN, индексы, locks, buffer pool, disk IO;
— Опыт эксплуатации Linux-серверов;
— Понимание влияния CPU, RAM, disk IO, network и filesystem на работу ClickHouse и MariaDB;
— Опыт настройки мониторинга и алертов для ClickHouse, MariaDB и инфраструктуры;
— Опыт работы с Prometheus, Grafana, Zabbix или аналогичными системами мониторинга;
— Опыт автоматизации через Ansible, Bash, Python или аналогичные инструменты;
— Умение аккуратно проводить изменения в production: план работ, оценка рисков, rollback-план, проверка результата;
— Умение писать техническую документацию: инструкции, runbook’и, чек-листы, postmortem-отчёты.
Желательные требования:
— Опыт или уверенное понимание Galera Cluster;
— Опыт эксплуатации ClickHouse и MariaDB в составе SIEM, SOC, log management, observability, telemetry или других высоконагруженных систем;
— Опыт работы с большими объёмами данных: десятки или сотни ТБ;
— Опыт работы с ClickHouse Keeper или ZooKeeper;
— Опыт эксплуатации ClickHouse / MariaDB на bare metal;
— Опыт работы с LUN, DAS, локальными дисковыми массивами и S3-совместимыми объектными хранилищами;
— Опыт нагрузочного тестирования ClickHouse и MariaDB;
— Опыт построения процедур disaster recovery;
— Опыт подготовки архитектурных и эксплуатационных документов для заказчиков;
— Опыт работы с ProxySQL, MaxScale, HAProxy, Keepalived, Pacemaker / Corosync или аналогичными решениями;
— Опыт проведения регламентных работ с минимальным downtime;
— Опыт аудита продуктивных инсталляций у заказчиков.
Условия:
— Постоянная занятость;
— Работа с продуктивной, тестовой и лабораторной инфраструктурой;
— Взаимодействие с командой эксплуатации, инженерами SIEM, разработчиками, архитекторами и техническими представителями заказчика;
— Участие в планировании изменений, разборе инцидентов и развитии архитектуры хранения данных.
Задачи:
— Разрабатывать backend-сервисы на C++20 для электронной трейдинговой платформы.
— Работать с логикой переговоров и исполнения сделок.
— Разрабатывать интеграции с внутренними и внешними системами.
— Работать с микросервисной и распределенной архитектурой.
— Участвовать в проектировании новой функциональности.
— Разбираться с проблемами в production вместе с QA и Support.
— Работать в международной команде разработчиков и представителей бизнеса.
Требования:
— 5+ лет коммерческой разработки на C++.
— Сильный C++17/20.
— Хорошее понимание STL, templates и generic programming.
— RAII, object lifetime, data structures & algorithms.
— Базовое понимание multithreading и concurrency.
— Опыт разработки под Linux.
— Опыт работы со сложными backend / distributed systems.
— Умение самостоятельно разбираться в проблемах, сообщать о блокерах и нормально работать с командой.
— Английский B2+.
Будет большим плюсом:
— Опыт в electronic trading / financial markets.
— Знание FIX, market data, exchanges, order management.
— Опыт с fixed income / equities / derivatives.
— Опыт с FlatBuffers / Protobuf.
— Опыт с Redis, messaging / pub-sub.
— Знание Python.
— Опыт с CMake / Conan.
Условия:
— Долгосрочная работа над большой production-системой, без коротких проектов и bench.
— Международная команда сильных C++ инженеров.
— Полностью удаленный формат работы.
— Локации: Польша, Португалия, Испания, Грузия.
— Релокационный пакет в Польшу.
Location: San Francisco
Workplace: OnSite
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:
Modal's LLM inference platform delivers frontier performance https://modal.com/blog/kimi-k3-by-moonshot-now-available-on-modal for open-source models with best-in-class elasticity and developer experience, made in part possible by our custom runtime with GPU memory snapshots https://modal.com/blog/gpu-mem-snapshots and multi-cloud substrate https://modal.com/blog/resource-solver.
We're looking for a leader to own the direction and execution of this platform to continue to establish us as the clear market leader, working closely with customers like Cognition, Doordash, Ramp, and many more. You'll be leading a group of highly talented engineers working on our market-leading LLM inference offering, spanning the serving stack, routing infrastructure, internal agentic optimization platform, and the user-facing product surface area.
This is a hands-on leadership role — expect to split your time between technical contribution, product shaping and people management depending on what the team needs. You'll set direction, remove blockers, and build a strong engineering culture as your team tackles hard problems in distributed computing, frontier inference serving, and performance optimization.
RESPONSIBILITIES:
Team
- Recruit, hire, and grow a high-performing team of engineers; run regular 1:1s focused on coaching, feedback, and career growth.
- Set clear performance expectations, hold a high bar, and build an environment where engineers do their best work.
- Foster a culture of ownership, accountability, customer obsession, and continuous improvement.
Technical and Product Direction
- Drive technical and product decisions through design reviews, code reviews, and architectural discussions.
- Lead our efforts working with customers with novel or frontier workloads so they can be successful running on Modal.
- Translate learnings from frontier customers into a roadmap for our internal optimization platform and user-facing product, so that gains from optimization and research efforts are accessible to all of our users.
- Establish standards for reliability and product excellence; ensure the team owns projects end-to-end, from spec through production.
Cross-Functional Leadership
- Partner with business operations and compute strategy on continuing to develop our strategy for compute purchases across a variety of accelerators.
- Collaborate with GTM on product launches, positioning, and improving win rates for inference opportunities.
- Help guide the roadmap for teams building the infrastructure platform underlying inference, as well as adjacent product teams.
REQUIREMENTS:
- 10+ years of industry experience, including 3+ years in a leadership role
- Track record building high-performance systems at scale
- Strong background in cloud infrastructure
- Deep knowledge of low-level OS foundations (Linux kernel, file systems, containers, etc.)
- Nice to have: Experience working with LLM inference in production and familiarity with underlying concepts like engines, kernels, routing, KV cache management and speculative decoding.
Location: Amsterdam; Berlin
Workplace: Hybrid
ABOUT MOTHERDUCK
Don’t let the quirky name fool you: At MotherDuck, we’re on a mission to make data warehousing fun, frictionless, and ducking awesome for developers and data practitioners building blazing fast internal and customer-facing analytics experiences. We're building a cloud-hosted version of DuckDB, working hand-in-hand with the creators of the fastest-growing and fastest-improving query engine on the planet. Unlike other databases, MotherDuck was architected to unify local development with cloud operations to bridge the gap between software and data engineering workflows. Our team is a mix of thoughtful, passionate, and empathetic data industry veterans.
WHAT YOU WILL DO
The Database team is the bridge between DuckDB and the cloud. We own the core server and client extension logic that lets DuckDB run seamlessly, whether it's local or in the cloud, and we work in C++ right alongside the DuckDB codebase itself. Our mission is to push the boundaries of embedded database performance, distributed execution, and user experience, all while staying closely connected to DuckDB Labs (the team behind DuckDB) to align on APIs and shape what's next.
Day to day, we drive major projects in dual execution, resource assignment, and system reliability, while also handling incoming issues and lending our DuckDB expertise to other teams. We collaborate closely across MotherDuck and with the wider DuckDB community, making sure people get the best of both local and cloud worlds. It's a small, high-agency team with big ambitions... the kind of place where engineers own impactful projects, share what they learn, and help shape how modern analytics gets built.
This role is ideally based in Amsterdam or Berlin, but we are also open to great candidates remotely in Europe.
Key Responsibilities:
- Own major projects in our dual execution stack, so DuckDB can process queries seamlessly whether they're running locally or in the cloud.
- Help build a cloud platform that dynamically assigns resources, so DuckDB stays efficient whether someone's running a tiny workload or pushing our biggest, highest-memory instances.
- Lead cross-functional work with our frontend, platform, and infrastructure teams to keep the user experience coherent end to end.
- Push the state of the art in embedded database performance, distributed execution, and DuckDB internals.
- Deepen your DuckDB expertise and share it with the rest of the company through mentorship and documentation.
- Work directly with our support team to debug issues, learn from real usage patterns, and prioritize the improvements that matter most.
- Improve systems holistically... spotting architectural challenges early and clearing bottlenecks before they become problems.
- Mentor teammates and help raise the bar for engineering practices across the team.
- Work closely with DuckDB Labs (which grew out of the Database Architectures group at CWI, where vectorized execution and DuckDB were born) to help align on APIs and shape where DuckDB goes next.
WHAT YOU BRING
- You've built and shipped complex backend systems, and you know what great looks like.
- You're fluent in a backend language like C++, Rust, Java, or similar systems languages, and you're comfortable working close to the metal. (C++ and Rust are the biggest plus here, and we love a great Java engineer too.)
- A good foundation in query engines, execution plans, indexing, and performance optimization techniques.
- Hands-on experience with DuckDB is a huge plus, no matter what level you're coming in at.
- You've worked with cloud infrastructure, networking, and building low-latency distributed systems.
- You can scope and lead projects that span multiple collaborators and cross-functional dependencies.
- You take pride in clear thinking, careful design, and thoughtful tradeoffs.
- You're comfortable mentoring peers and helping build a collaborative, high-agency environment.
- You enjoy engaging with the wider community, whether that's open-source conversations or working directly with DuckDB Labs.
WHAT WE PROVIDE
- The opportunity to participate and contribute to DuckDB, one of most popular modern open source analytical databases.
- Competitive salary and stock options so you have a stake in our flock’s success.
- Flexible time off – take the time you need to recharge, explore, or just have a lazy day by the pond.
- A good pension plan
- Legendary company events – we bring the whole flock together once a year for unforgettable summits in fun locations, plus 1-2 team gatherings a year to keep our bonds strong.
- Hybrid work environment – Spend three days a week in the office collaborating with the flock, and work from wherever you’re most productive the rest of the time—whether that’s your home office, a coffee shop, or a peaceful lakeside retreat. We have to warn you though, most of us like the office so much we come anyway. It’s on the river Ij, with a great lunch every day.
PLEASE APPLY
Does this role sound appealing to you, but you’re missing some of the requirements or don’t quite think you’re qualified? Please apply anyway. Research has shown that underrepresented groups in technology often shy away from roles which aren’t a 100% match. We aim to build a diverse team and will strongly consider applicants who bring many of the requirements plus have other experiences which round out their qualifications.
MotherDuck is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. MotherDuck is committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities.
Location: EMEA; Romania; Bulgaria; Kenya; Portugal; United Kingdom; Spain; Brazil; South Africa; Argentina; Armenia
Workplace: Remote
✨ ONE PLATFORM, A WHOLE WORLD OF OPPORTUNITY
The best jobs have always clustered in a handful of the world's wealthiest cities. But talent is everywhere. Oyster set out to close that gap - building a global employment platform that lets companies hire, pay, and care for brilliant people anywhere.
We're proof that a high-performing culture doesn't need an office. Distributed across 60+ countries since 2020, we've built something the industry keeps noticing:
- Ranked #10 of 250 on TIME and Statista's 2026 list of America's Top WorkTech Companies https://www.oysterhr.com/library/oyster-hr-named-10-of-americas-top-worktech-companies-of-2026-by-time
- Named one of America's Greatest Startup Workplaces 2026 https://www.oysterhr.com/library/oyster-2026-newsweek-award by Newsweek
- A G2 Spring 2026 Leader https://www.oysterhr.com/library/oyster-named-best-roi-for-any-global-employment-platform-for-g2-spring-2026 across Employer of Record, Global Employment, Multi-country Payroll, and HR Compliance
- The only B Corp-certified global employment platform ~ independently verified since 2023
Two of those rankings measured our business impact from the outside. One measured how our own people feel about working here. They landed in the same place ~ because at Oyster, culture and performance aren't separate conversations. They're the same one.
And we're just getting started. If you want to do the best work of your career alongside people who care as much as you do, we'd love for you to apply.
👩💻 THE ROLE
Location: While this position is posted in a specific location, all of Oyster’s positions are fully remote and you can work from home. Forever. To create the best experience for our new hire, this role requires you to be based within UTC−6 to UTC+3.
Oyster’s Data Engineering team is building the foundational AI platform layer that will enable teams across Oyster to develop, deploy, and operate secure, production-grade AI capabilities. As a Senior Data Engineer focused on AI Platform, you’ll work at the intersection of data engineering, platform engineering, and applied AI. You’ll build the data pipelines, services, integrations, and reusable platform capabilities that power AI use cases across Oyster.
You’ll leverage Oyster’s existing AWS and Snowflake data platform to make enterprise data accessible, reliable, secure, and useful for AI, supporting capabilities such as LLMs, RAG, embeddings, vector search, AI agents, tool calling, and AI workflows.
This is not a traditional data engineering role focused primarily on analytics pipelines or reporting. You’ll help define and build the data and platform foundations that let AI systems move from experimentation to reliable production, working closely with Engineering, Product, IT, and other teams across Oyster.
Key Responsibilities
- Design and build data pipelines and platform capabilities that support AI applications, knowledge systems, and AI workflows.
- Build and maintain data and knowledge pipelines for ingestion, transformation, chunking, embeddings, retrieval, vector search, metadata, and knowledge management.
- Develop secure, reusable ways for AI systems to access enterprise data and systems using APIs, MCP, tool calling, and similar patterns.
- Build reusable services, libraries, frameworks, and developer tooling that make it easier for engineering teams to build and productionize AI capabilities.
- Apply strong data engineering practices around data modeling, data quality, lineage, access, reliability, and governance to AI-related data and systems.
- Help establish patterns for AI deployment, observability, evaluation, and lifecycle management, including quality, latency, reliability, security, and cost.
- Partner with engineers and stakeholders to take AI use cases from prototype to production, ensuring the underlying data and infrastructure are scalable and maintainable.
- Ensure AI platform capabilities meet Oyster’s security, privacy, access control, and data governance requirements.
- Evaluate emerging AI and data technologies and determine where they can create meaningful value for Oyster.
Core Requirements
- 5+ years of experience in data engineering, platform engineering, backend engineering, ML engineering, or a related discipline, with experience building and operating production systems.
- Strong Python and SQL skills.
- Strong data engineering fundamentals, including data pipelines, data modeling, data quality, orchestration, and secure data access.
- Experience with Snowflake, Databricks, or comparable modern data platforms, and tools such as dbt, Airflow, or similar.
- Hands-on experience building or supporting production systems using LLMs / generative AI.
- Practical experience with one or more of RAG, embeddings, vector search, tool/function calling, AI agents, or enterprise knowledge systems.
- Experience building data or platform capabilities that are reusable across teams, rather than only developing one-off solutions.
- Experience taking systems from experimentation to reliable production, including considerations around scalability, observability, performance, and maintainability.
- Solid understanding of security, authentication/authorization, privacy, and data governance, particularly in the context of enterprise data.
- Strong communicator who can work across Engineering, Product, and IT to turn ambiguous AI and data problems into practical engineering solutions.
Bonus
- Experience with AWS Bedrock or other managed foundation-model platforms.
- Hands-on experience with MCP (Model Context Protocol) or similar approaches for connecting AI systems to enterprise tools and data.
- Experience with LLM evaluation, observability, monitoring, or AI quality.
- Experience with LangChain, LangGraph, or similar frameworks.
- Experience with vector databases or search technologies.
- Experience implementing AI security, governance, or responsible AI practices.
- Experience building internal developer platforms, SDKs, APIs, or reusable infrastructure for engineering teams.
- Experience working across data engineering and AI/ML platform environments.
YOU'LL ALSO NEED
- A reliable home internet connection (or be able to get one).
- Fluent English language skills.
HOW WE WORK TOGETHER AT OYSTER
Our values guide the work we do, the decisions we make, and the culture that makes Oyster what it is. We make it happen—progress is our default setting. We drive change, we build and give trust, and we move as one united team.
Our mission is to create a more equal world of work: helping companies everywhere hire, pay, and care for talent anywhere. Everything we do ladders up to our mission. We embrace asynchronous, collaborative work and share how we operate in the Oyster Public HQ https://oysterhr.notion.site/Welcome-to-The-Reef-Oyster-s-Open-Source-Employee-Guide-fc482e3f107c4afd8c85ed217f1d0c1d so other global teams can learn from us.
HOW YOU WORK
With diverse locations, cultures, and needs, we created How YOU Work; https://oysterhr.notion.site/How-YOU-work-ac16c1932e314ffd8cb693e332458395 a program supporting your whole human experience at Oyster:
- Work from anywhere: Oyster has no borders or HQ. As long as work is timely, your team is supported, and you're authorized to work where you live, you can work from anywhere.
- Paid time off: Enjoy 40 days off per year (including holidays and vacation), or more if required by your country.
- Mental health support: Access Plumm https://oysterhr.notion.site/Plumm-3b5e7e70dec6428e975f68f25972cfb7, our mental well-being service.
- Wellbeing allowance: Each month, receive a wellbeing allowance in your ThanksBen wallet to spend on a wide range of options.
- Flexible parental leave: All new parents are eligible for at least three months’ paid leave, with job protection for up to 12 months or as required locally.
- WFH stipend: Receive a stipend for your laptop and home office equipment to get you set up quickly.
✨ THE BEST JOBS SHOULD BE AVAILABLE TO EVERYONE
We embrace diverse perspectives and intentionally build our product and company with an inclusive, global mindset. We encourage you to apply, even if you don’t meet every criterion, and are committed to a trust-based, thriving environment.
Oyster is committed to ensuring equal opportunity of employment for qualified persons with disabilities and actively fosters an inclusive work environment. If you require reasonable accommodations throughout the recruiting process, please email jobs@oysterhr.com with the subject line: Interview Accommodations.
Our available positions are on our careers page. Our team will only contact you from an @oysterhr.com email, and we will never ask for money as part of an interview process or job offer. If you receive a suspicious email about Oyster jobs or are directed to a site other than www.oysterhr.com/careers http://www.oysterhr.com/careers, please report it via our Compliance and Ethics Helpline https://faceup.com/c/8tpzyyye.
Location: Europe
Workplace: Remote
As a Backend Engineer on Coder's Enterprise Experience team, you'll build the features that help large organizations run Coder in production with confidence. The team owns what administrators and operators need to run Coder well. That covers how it scales, how it's upgraded, how reliably it performs, how it's observed and reported on, how activity is held accountable, and how it's secured.
You'll join a cross-functional team of backend, platform, and QA engineers who own the operator experience end to end. You'll ship features from design through production and partner with product and design to solve real operator problems.
WHAT YOU'LL DO HERE
- Build features end to end, from a design you write within the team's existing approach through production rollout.
- Write database migrations that follow the team's patterns for schema compatibility and safe upgrades.
- Build the observability, reporting, and audit features administrators rely on to see what their deployment is doing.
- Build features that keep enterprise deployments secure, following the team's security practices.
- Help investigate and resolve scalability bottlenecks under production-like load, from database access patterns to concurrency in coderd.
- Help resolve backend issues surfaced by Coder operators and administrators.
- Document the features you build so a reviewer and the next engineer do not have to decode them.
- Participate in code reviews, contribute to RFC-style design discussions, and join the on-call rotation.
WHAT WE'RE LOOKING FOR
- 2+ years of professional software engineering experience.
- Professional experience writing and shipping Go.
- Working understanding of Go's concurrency model, including goroutines, channels, and the sync package.
- Comfortable with SQL, schema changes, and writing migrations.
- Strong verbal and written communication skills, including surfacing blockers and uncertainty early.
- Solid debugging skills and the persistence to work a problem, and to escalate early when stuck.
- A self-motivated, analytical engineer who enjoys difficult technical challenges.
BONUS TACOS IF YOU HAVE
- (Tacos? If you need an ice-breaker, ask how we say thanks by giving tacos!)
- Experience investigating performance under real-world load, including debugging race conditions.
- Experience with observability, audit, or security features in an enterprise product.
- Experience with major cloud providers, Kubernetes, and container orchestration.
- Experience building or operating distributed systems at a meaningful scale.
- Curiosity about the latest developer tooling.
OUR TECH STACK
- Backend: Go, Postgres, Kubernetes, gRPC
- Observability: Prometheus, Grafana
- CI/CD: GitHub Actions
- General: GitHub, Slack, Discord, Notion
ABOUT CODER
Coder is the leading platform for AI development Infrastructure, enabling enterprises to securely run human and AI-driven development workflows in consistent, governed environments. Coder provides self-hosted, agent-ready workspaces that unify developer productivity and platform governance. With Coder, enterprises can confidently evolve from human-only development to AI-assisted and autonomous workflows, without sacrificing security, compliance, or performance. Learn more at coder.com http://coder.com.
INTERVIEW PROCESS
We believe that the interview process should be transparent, consistent, and enjoyable. We value your time and hope to complete the interview process in two to four weeks, if schedules allow. Through your interviews, you will meet a mix of individual contributors, managers, and senior leaders.
AI USE DURING THE INTERVIEW PROCESS
As an AI company, Coder embraces the use of AI tools, and we want to be transparent about our expectations as you navigate our interview process.
Not permitted: Using AI assistance during conversational interviews.
Permitted: Using AI tooling for take-home assessments. Please flag where and to what extent it was used in your take-home. Your submission will not be penalized for using AI as long as it is done honestly.
OUR USE OF AI IN HIRING
We use AI tools to help manage our recruitment process efficiently and fairly. Specifically:
- Ashby and Brainerr help us review inbound applications by surfacing candidates who best match the role requirements we've defined. This tool does not make hiring decisions; it helps our team prioritize which applications to review first.
- Granola takes notes during our interview calls so our team can focus on the conversation with you.
All hiring decisions are made by humans. Our team reviews applications, conducts interviews, and makes final selections. AI tools assist us but never replace human judgment, and these practices are conducted in compliance with applicable data protection, AI governance, and labor laws. Your data is not used to train AI models.
In accordance with New York City Local Law 144, an independent bias audit has been conducted on "Automated Employment Decision Tools"; results are available for Ashby https://www.ashbyhq.com/downloadables/ashby-bias-audit-08-2024.pdf.
If you're applying for a role at Coder and have questions about how we use AI in our process, or if you'd like to request information about the data we collect, please contact careers@coder.com.
CODER IS A PROUD EQUAL OPPORTUNITY EMPLOYER
We are committed to providing equal employment opportunities to qualified applicants and do not discriminate on the basis of race, color, ancestry, religion, sex, pregnancy, gender, gender identity, gender expression, sexual orientation, national origin, age, marital status, genetic information, disability, protected veteran status or any other characteristic protected by federal, state, or local laws.
DomainTools is looking for a Principal Product Manager to join its Product team. This role is responsible for growing and refining data products that drive threat intelligence solutions, with API-first delivery and integration into UI, AI, and third-party experiences and workflows. It is a strategic role with high impact and visibility inside and outside the company.
The ideal candidate is a strong leader and successful product manager with a track record of delivering market-leading data products, based on insights from direct customer interaction and big-data analysis.
The product manager is expected to contribute solid knowledge of business constraints and prioritize opportunities, deep knowledge of users and customers, and understanding of platforms customers use to engage with products. They must track industry trends and competitive landscape relevant to their products.
The product manager collaborates closely with engineering, marketing, sales, and solutions engineering teams to deliver world-class solutions. This is an individual contributor role requiring influence through data and logic.
Basic Qualifications:
— Minimum 7 years in cybersecurity or data-related product management, delivering data-driven analytics and products
— Deep knowledge of business and customers, understanding data product usage and value
— Experience with threat intelligence products, threat feeds, APIs, and related technologies
— Experience interacting with customers using data warehousing, data science, and Big Data technologies
— Experience integrating data products into third-party environments (customer and partner ecosystems)
— Experience working with Agile (kanban/scrum) development teams and processes
— Excellent people skills working cross-functionally from ideation to market
— Excellent writing, communication, and presentation skills
— US-based with willingness to accommodate core hours overlapping 9am-3pm US Pacific time
Preferred Qualifications:
— Experience in cybersecurity investigations, threat defense, incident response, or related activities
— Solid understanding of cybersecurity market and modern security architectures
— Familiarity with cybersecurity data domains including DNS, IP, TLS/SSL certificates, web crawl, BGP, NetFlow data
— Experience with real-time data collection, processing, and delivery
— Experience with large language models (LLMs) and agentic workflows
— Experience with data products leveraging predictive analytics / machine learning (ML)
— Experience with distributed systems and cloud computing
Location: Poland
Workplace: Remote
Coder is looking for a Customer Support Engineer to join our dynamic, collaborative team. In this pivotal role, you’ll work hand-in-hand with our Product and Customer Success teams, making a direct and lasting impact on our fast-growing business. As part of a small, agile group, your expertise will be highly visible, helping shape the future of our Customer Support function.
We’re looking for someone who thrives in a fast-paced environment built on open communication, continuous learning, and creative problem-solving. You are proactive, detail-oriented, tactful, and endlessly curious about new technologies. With a natural instinct for automation, process improvement, and exceptional customer experiences, you’ll troubleshoot complex issues, deliver timely and effective solutions, and communicate with clarity and empathy.
Above all, you’ll be a passionate advocate for our customers by driving satisfaction, fostering success, and elevating the support experience at every touchpoint.
What you’ll do here
- Reproduce and debug customer issues by building or using existing test environments and tools
- Communicate tactfully with customers
- Gather information, provide diagnostic and resolution steps, convey process and product guidance and follow up after issues are resolved
- Solve incoming technical support requests in a timely manner, including high-severity urgent cases
- Identify and communicate product usage trends, bugs and feature requests
- Guide and mentor new team members on processes and procedures
- Collaborate with Enterprise Account Managers to schedule, coordinate, and lead customer debugging calls
- Document and record all activity with customers in accordance to both internal and external security standards
- Help build out the scope of the team by contributing to product documentation, customer knowledge base, and best practices guides
- Continuously improve process and tools in collaboration with the team
- Periodic on-call rotation for production-down issues
What we’re looking for
- 3+ years of customer support engineering experience (or comparable customer-facing technical role), preferably for mission-critical software
- 3+ years supporting enterprise-sized companies
- 2+ years diagnosing production network connectivity and performance issues
- Excellent problem solving, analytical and troubleshooting experience
- Experience communicating clearly and effectively, both verbally and in writing
- Experience with Terraform
- Experience with major cloud platforms, distributed systems, microservices architecture, and containerization (e.g., Kubernetes)
- Experience with scripting tool of choice to help automate reproduction environments (e.g., Bash, Python, Ruby)
- Ability to read complex code for troubleshooting
- Experience with GitHub
- Experience with REST APIs and command line tools
- Well-organized, excellent work ethics, attention to detail, and ability to learn new technologies quickly
- Experience working in a startup environment
Bonus tacos if you have
- (Tacos? If you need an ice-breaker, ask how we say thanks by giving tacos!)
- DevOps Engineering, Software Engineering, and/or System Administration experience
- Software-defined networking experience (e.g., Tailscale)
- Experience supporting engineering teams and associated tooling
ABOUT CODER
Coder is the leading platform for AI development Infrastructure, enabling enterprises to securely run human and AI-driven development workflows in consistent, governed environments. Coder provides self-hosted, agent-ready workspaces that unify developer productivity and platform governance. With Coder, enterprises can confidently evolve from human-only development to AI-assisted and autonomous workflows, without sacrificing security, compliance, or performance. Learn more at coder.com http://coder.com.
INTERVIEW PROCESS
We believe that the interview process should be transparent, consistent, and enjoyable. We value your time and hope to complete the interview process in two to four weeks, if schedules allow. Through your interviews, you will meet a mix of individual contributors, managers, and senior leaders.
AI USE DURING THE INTERVIEW PROCESS
As an AI company, Coder embraces the use of AI tools, and we want to be transparent about our expectations as you navigate our interview process.
Not permitted: Using AI assistance during conversational interviews.
Permitted: Using AI tooling for take-home assessments. Please flag where and to what extent it was used in your take-home. Your submission will not be penalized for using AI as long as it is done honestly.
OUR USE OF AI IN HIRING
We use AI tools to help manage our recruitment process efficiently and fairly. Specifically:
- Ashby and Brainerr help us review inbound applications by surfacing candidates who best match the role requirements we've defined. This tool does not make hiring decisions; it helps our team prioritize which applications to review first.
- Granola takes notes during our interview calls so our team can focus on the conversation with you.
All hiring decisions are made by humans. Our team reviews applications, conducts interviews, and makes final selections. AI tools assist us but never replace human judgment, and these practices are conducted in compliance with applicable data protection, AI governance, and labor laws. Your data is not used to train AI models.
In accordance with New York City Local Law 144, an independent bias audit has been conducted on "Automated Employment Decision Tools"; results are available for Ashby https://www.ashbyhq.com/downloadables/ashby-bias-audit-08-2024.pdf.
If you're applying for a role at Coder and have questions about how we use AI in our process, or if you'd like to request information about the data we collect, please contact careers@coder.com.
CODER IS A PROUD EQUAL OPPORTUNITY EMPLOYER
We are committed to providing equal employment opportunities to qualified applicants and do not discriminate on the basis of race, color, ancestry, religion, sex, pregnancy, gender, gender identity, gender expression, sexual orientation, national origin, age, marital status, genetic information, disability, protected veteran status or any other characteristic protected by federal, state, or local laws.
About Openbase:
Openbase.ai is an AI gateway that helps developers and businesses access multiple AI models through one API, simplifying model access, routing, and usage management to enable teams to focus on building AI products. The MVP is ready.
The opportunity:
Work directly with the founder to grow Openbase into a business with repeatable customer acquisition, strong retention, and disciplined operations. Own commercial execution including finding first customers, testing acquisition channels, improving onboarding, building partnerships, and organizing people and systems to grow. Aim to reach 10,000 users with clear milestones for activated developers, retained customers, paying accounts, and profitable usage.
What you will own:
1. Go-to-market and customer acquisition:
— Identify strongest initial customer segments (AI startups, independent developers, agencies, software teams).
— Develop positioning and explain why developers should choose Openbase.
— Launch and improve acquisition via X, SEO, AI search engines, developer communities, partnerships, targeted outbound.
— Test paid campaigns with budgets, conversion tracking, criteria for scaling or stopping.
— Build growth roadmap with weekly experiments and monthly acquisition targets.
2. Developer activation and retention:
— Own journey from website visit to signup, first API request, first payment, ongoing usage.
— Collaborate with engineering to remove onboarding friction, improve documentation, quickstarts, integration examples.
— Engage directly with developers to understand usage and retention.
— Establish onboarding communications, customer support, reactivation campaigns.
— Turn successful implementations into case studies and referrals.
3. Sales and partnerships:
— Personally source and close early customers.
— Build qualified pipeline of startups and businesses with recurring AI usage.
— Develop distribution partnerships with developer tools, AI communities, accelerators, complementary platforms.
— Coordinate technical evaluations and customer requirements with engineering.
— Build repeatable sales process as demand grows.
4. Business execution and team management:
— Translate company goals into weekly priorities, accountable owners, delivery dates.
— Recruit and manage freelancers, agencies, future hires across growth, content, developer relations, customer success.
— Own marketing budget allocation and evaluate spending against results.
— Coordinate customer needs with product and engineering priorities.
— Implement workflows and automation to reduce manual work.
5. Metrics and commercial performance:
— Maintain dashboard covering acquisition, activation, retention, paying customers, API usage.
— Track customer acquisition cost, conversion rates, retention by channel.
— Separate customer spending from provider costs and Openbase’s retained revenue and gross profit.
— Monitor promotional credits and infrastructure costs to keep growth economically sound.
— Provide founder with weekly view of results, blockers, decisions needed.
What we are looking for:
— Experience leading growth and commercial execution at early-stage SaaS, API, developer-tools, or AI infrastructure company.
— Evidence of acquiring users from early starting point with specific numbers and personal contribution.
— Understanding of developer audiences and technical product adoption.
— Ability to understand API integration, follow documentation, discuss onboarding with engineers.
— Hands-on ability to run experiments, analyze funnels, conduct customer calls, manage delivery.
— Experience managing budgets and external specialists.
— Strong written English, sound judgment, comfort working directly with founder.
— Experience with usage-based pricing, developer relations, technical SEO, AI model platforms is relevant.
Why join:
— Direct ownership of Openbase’s launch and growth.
— Close collaboration with founder and engineering team.
— Opportunity to build commercial function from earliest stage.
— Scope to take on broader company leadership as business grows.
How to apply:
Send CV or LinkedIn profile with brief answers to questions about past product growth, acquisition channels, approach to first 1,000 activated developers, personal execution vs specialists, location, availability, compensation expectations, and example of growth experiment or operating system built.
Location: Romania; Brazil; Peru; Sweden; Colombia; Argentina; Cyprus; South Africa; Czech Republic; Hungary; Mexico; Chile; Poland; Bulgaria
Workplace: Remote
BUILDING THE FUTURE OF OPEN FINANCE
Payward - the parent company behind Kraken, NinjaTrader, Breakout, xStocks, Payward Services and CF Benchmarks - has spent the last 15 years building one of the most modern and globally accessible financial infrastructure platforms in the industry, built to advance an open, global financial system.
Before you apply, we encourage you to explore our culture page https://www.kraken.com/culture to understand what drives us and how we work.
THE TEAM
Founded in 2011, Kraken is one of the world's longest-standing crypto platforms, trusted by over 10 million individuals and institutions across the globe. It offers spot trading, margin, futures, staking, and OTC services, with products built for both individual investors and institutional clients.
Our Platform and Core Engineering teams build the systems that make Kraken secure, resilient, and scalable. Their impact isn’t measured by customer-facing features, but by the strength, correctness, and leverage of the foundations they create. These teams power Kraken systems behind the scenes — enabling product teams to move fast while meeting the highest standards for reliability, compliance, and security.
Engineers design shared services, internal platforms, and critical infrastructure that support company-wide initiatives. They optimize for safety, scalability, observability, auditability, and operational excellence — often operating in regulated, security-sensitive, and risk-heavy environments where precision matters.
We’re looking for engineers with deep systems ownership and an architecture-first mindset — builders who take pride in long-lived services, thrive in complex environments, and are motivated by strengthening the backbone of the crypto ecosystem.
THE OPPORTUNITY
- Design and implement robust Rust services and foundational libraries that power Kraken’s core infrastructure, prioritizing correctness, security, and long-term maintainability.
- Write reusable, testable, and highly efficient code built for scale, observability, and operational resilience in production environments.
- Collaborate on large-scale distributed systems architecture, shaping low-latency, fault-tolerant services that support global trading and internal platforms.
- Work alongside hundreds of experienced Rust engineers, contributing to a high-bar engineering culture grounded in ownership, rigor, and craftsmanship.
WHAT YOU BRING
- 7+ years of software engineering experience
- Experience building and scaling shared systems, internal platforms, and supporting multiple product roadmaps
- Proficient in writing network services or asynchronous code in Rust
- Have a security-first mindset during system design to ensure robustness
- Demonstrate the ability to autonomously debug issues across the stack (OS, network, application)
- Apply a solid understanding of distributed systems and technologies, including RPC protocols, Kafka, and Event-Driven Systems, to design scalable solutions
- Collaborate effectively with product teams to gather requirements and constraints for designing appropriate systems
- Take complete end-to-end ownership of systems and libraries
Unless a specific application deadline is stated in the job posting, applications are accepted on an ongoing basis.
Please note, applicants are permitted to redact or remove information on their resume that identifies age, date of birth, or dates of attendance at or graduation from an educational institution.
We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance.
OUR COMMITMENT
Payward is powered by people from around the world and we celebrate the diverse talents, backgrounds, contributions, and unique perspectives that everyone brings to the table. We hire based on merit, seeking out people with the right abilities, knowledge, and skills for the job. We encourage you to apply for roles where you don't fully meet the listed requirements, especially if you're passionate or knowledgeable about crypto.
We may ask candidates to complete job-related skills or work-style assessments as part of our hiring process. These assessments evaluate competencies relevant to the role and are applied consistently across candidates for similar positions. Results are considered alongside experience and interviews, and are not the sole basis for any employment decision.
As an equal opportunity employer, we don't tolerate discrimination or harassment of any kind, whether based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status, or any other protected characteristic as outlined by federal, state, or local laws.
Stay connected
Follow us on Twitter https://twitter.com/krakenfx
Learn on the Kraken Blog https://blog.kraken.com/#:~:text=Enter%20your%20email%20address
Connect on LinkedIn https://www.linkedin.com/company/kraken-exchange/
Candidate Privacy Notice https://www.kraken.com/legal/candidate-privacy-notice
ГибридLondon, UK
106 000 – 150 000 GBP
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.
