Location: Remote
Workplace: Remote
Phantom https://phantom.com is on a mission to connect the world to the freedom of open markets. Tens of millions of people all over the world use Phantom to access global markets that never close, including perpetuals, prediction markets, tokenized assets, stablecoins and memes. Phantom users are able to discover the markets that matter and the cultural moments that shape them, building conviction through real-time data and the verified performance of top traders. With self-custody and access to open networks at its core, Phantom lets them control their financial moves in the same app they use to safely store or spend money worldwide.
Phantom has reached #1 in Google Play's finance category and consistently ranks in the top 50 apps across all categories. Check out our Forbes Fintech 50 https://www.forbes.com/sites/ninabambysheva/2026/02/23/inside-phantoms-battle-plan-to-win-the-crypto-fueled-superapp-war/ and CNBC and Statista's World's Top Fintech Companies 2026 https://www.cnbc.com/worlds-top-fintech-companies-2026/!
We are around 180 people, fully remote, backed by a $150M Series C investment from a16z, Sequoia Capital and Paradigm.
Platform security is foundational to protecting Phantom and the systems our users rely on. We’re hiring a Senior Platform Security Engineer to own and improve security across our AWS and Kubernetes environments. You’ll work directly with infrastructure and engineering teams to secure the control planes, identities, workloads, and deployment systems behind our most critical products.
We’re building an AI-native security team that aggressively uses AI to expand the speed, depth, and reach of our work. We’re looking for a strong security engineer with high agency who can identify the risks that matter, build practical controls, and own problems through verified remediation. This is a hands-on role for someone who is comfortable working in production systems, writing code and infrastructure, responding to incidents, and making security improvements without slowing down the teams building on the platform.
This role is fully remote; however, we’re only open to candidates based in the US and Canada.
RESPONSIBILITIES
- AWS Security: Own and improve security across Phantom’s multi-account AWS environment, including IAM, Identity Center, networking, compute, storage, secrets, logging, and organization-level guardrails.
- Kubernetes Security: Secure production Kubernetes environments running on Amazon EKS, including cluster configuration, workload identity, RBAC, admission controls, network boundaries, secrets, container security, and tenant isolation.
- Identity and Access: Design least-privilege access models for engineers, services, and automation. Build scoped, auditable, and time-bound access paths for sensitive production systems.
- Mission-Critical Systems: Protect the infrastructure supporting products and services that handle sensitive data and high-value operations.
- Cloud Security Architecture: Lead security design for new infrastructure, platform services, and major architectural changes.
- Infrastructure and Policy as Code: Build reusable security controls using tools such as Pulumi, Terraform, Kubernetes policy engines, and automated configuration validation.
- CI/CD and Supply Chain Security: Harden build, deployment, and release systems, including GitHub Actions, workload federation, build runners, dependencies, artifacts, signing, provenance, and access to production environments.
- Security Automation: Build tools that identify and remediate cloud and Kubernetes risks at scale. Apply AI-assisted workflows where they materially improve analysis, coverage, or response speed.
- Cross-Functional Leadership: Partner closely with Infrastructure, SRE, Developer Experience, and product engineering teams. Establish practical platform-security standards and help teams adopt them.
QUALIFICATIONS
- 7+ years of experience in platform security, cloud security, infrastructure security, security engineering, or a closely related engineering role.
- Deep, hands-on experience securing production AWS environments. You understand IAM and resource policies, workload identity, network security, secrets management, logging, organization-level controls, and the ways these systems fail in practice.
- Deep experience securing Kubernetes in production, preferably Amazon EKS, including RBAC, workload identity, admission policy, network policy, pod security, secrets, and cluster hardening.
- Experience designing or securing mission-critical systems where compromise, excessive privilege, or loss of availability could have significant customer or business impact.
- Strong understanding of identity, authorization, least privilege, isolation, and blast-radius reduction across both human and machine access.
- Experience securing CI/CD and software supply chains, including GitHub Actions or similar systems, build runners, workload federation, artifacts, and production deployment paths.
- Experience writing and reviewing infrastructure as code using Pulumi, Terraform, CloudFormation, or similar tools.
- Ability to write production-quality code or automation in a language such as TypeScript, Python, Go, or Rust.
- High agency and ownership. You can take an ambiguous platform-security problem from initial investigation through implementation and verified remediation.
- Clear communication and a strong track record of partnering with infrastructure and engineering teams while maintaining a high security bar.
NICE TO HAVES
- Experience with AWS Nitro Enclaves or other trusted execution environments, including attestation, isolation boundaries, secure key handling, and operational lifecycle management.
- Experience securing financial, payments, wallet, custody, or other high-value transaction systems.
- Familiarity with key-management infrastructure, AWS KMS, CloudHSM, cryptographic signing systems, or secrets-management platforms.
- Experience operating or securing multi-region Kubernetes and AWS environments at significant scale.
- Familiarity with service meshes and cloud-native networking technologies such as Istio, PrivateLink, Transit Gateway, or eBPF-based controls.
- Experience with GitHub OIDC, Argo CD, Helm, Crossplane, or Kubernetes-based infrastructure delivery.
- Experience using cloud-security and observability platforms such as Wiz, Datadog, GuardDuty, Security Hub, or CloudTrail.
- Experience building policy-as-code, automated remediation, or security tooling used by a large engineering organization.
- Familiarity with blockchain infrastructure or self-custodial wallet architecture.
The target base salary for this role will range between $200,000 to $250,000 with the addition of equity and benefits. This is determined by a few factors including your skillset, prior relevant experience, quality of interviews and market factors (such as location) at the point in time of offer.
Why Work With Us
Phantom's journey to becoming a global trading app began with making crypto easier to use. Today, we’re building on that foundation to help people discover the markets that matter, make informed financial moves, and safely store or spend their money worldwide. Joining Phantom means helping shape that next chapter: building products that bring the freedom of open markets to more people.
- Build for global impact: Create products used by tens of millions of people, making innovative financial markets more accessible to users around the world.
- Make complexity feel simple: Solve meaningful challenges across design, engineering, and user experience to make discovering markets and managing money seamless.
- Put users in control: Help build a future where people have greater freedom over their assets and financial decisions, with security and self-custody at the foundation.
Benefits (only available to full-time employees)
- Competitive salary and equity
- Comprehensive insurance (medical/dental/vision): base plan 100% covered
- Flexible hours and a long-standing, supportive remote environment
- Unlimited vacation: Take time when you need it (and we really mean it!)
- 401(k) retirement plan
- Wellness stipend
- Weekly meal stipend
- Learning & Development stipend
- Remote / WFH set-up stipend
We strongly encourage candidates of all backgrounds to apply. We believe that our work is stronger with a variety of perspectives, and we’re eager to further diversify our company. If you have a background that you feel would make an impact at Phantom, please consider applying. We’re committed to building an inclusive, supportive place for you to do the best work of your career.
By submitting your resume and application materials, you acknowledge and agree that Phantom Technologies, Inc. ("Phantom") collects and processes your personal information (including application materials, interview records, and related data) to evaluate your candidacy. Phantom may use AI-powered tools and third-party service providers for transcription, note-taking, scheduling, and other administrative tasks. Phantom does not sell your information and your materials will be handled securely and in accordance with applicable data protection laws.
УдалённоКанада, США; This role is fully remote; however, we’re only open to candidates based in the US and Canada; We strongly encourage candidates of all backgrounds to apply
Arango delivers a unified, natively multimodel contextual data platform that powers AI agents, assistants, and applications with the unified, current, and trusted business context needed to reason, decide, and act at scale. The Arango Contextual Data Platform connects...
Location: San Francisco, California
Workplace: Hybrid
WHO WE ARE
Notion is the collaborative AI workspace where teams and agents think together https://www.youtube.com/watch?v=vkpYpWfEK5s. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion.
Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work.
ABOUT THE ROLE:
This role will be based in San Francisco. We work from our offices on Mondays, Tuesdays and Thursdays (our Anchor Days) because we do our best thinking and building together in person. We’re looking for someone who’s excited to work alongside the team during those days.
You’ll build the systems that let any knowledge worker leverage fast, scalable databases without having to become a DBA.
You’ll be a hands-on technical leader, helping set the architectural direction and roadmap as we take a new product from early alpha to general availability. You’ll work directly with early customers to shape foundational technical and product decisions. Then, together, we’ll work on scaling as adoption and workloads grow.
This is a backend-leaning role with work spanning the stack. You might build the systems that provision and manage a fleet of customer Postgres instances, design how user-defined schemas evolve safely, or make complex queries execute efficiently. You’ll also follow those systems into the product: improving how a table loads, how users understand a slow operation, or how an agent safely works with their data.
You’ll help shape the architecture and the product together. Some problems call for a better abstraction, others for a better default, and others for rethinking what we ask the user to do in the first place. You’ll work with teammates and customers to find those answers, ship practical solutions, and evolve them as usage grows.
Our stack includes Postgres, Go, TypeScript, Node.js, and React.
ABOUT THE TEAM:
The people who understand a business best aren’t always the people who can build its software. A support lead knows how tickets should be triaged. An operations manager knows how inventory should move. But turning that knowledge into a reliable system often means finding an engineer, provisioning a database, and building an application.
We’re building database infrastructure for everyone else. We want everyday knowledge workers to bring their data into Notion, connect it, and build workflows around it. And do so with the power of a real database (Postgres!) and the approachability of a tool they already know.
AI agents make that opportunity even bigger: helping people build and operate systems they couldn’t have created on their own.
For our team, this is much more than putting a friendly interface on Postgres. It means making hard database problems disappear from the user’s workflow without sacrificing correctness, performance, or flexibility. How do you let someone reshape a live database as easily as editing a document? Make the right indexes exist without asking someone to become a DBA? Let a weekend experiment grow into a company’s system of record without anyone having to rearchitect it?
WHAT YOU'LL ACHIEVE:
- Take a new product from alpha to general availability. Work with early customers to understand what matters, iterate on feedback, and help shape what we ship.
- Make real customer workloads fast. Improve query execution, indexing, and client data loading so performance holds up as datasets grow and workflows become more demanding.
- Build systems businesses can trust with their data. Make schema changes, concurrent writes, permissions, and recovery reliable enough for customers to build essential workflows on top.
- Make powerful capabilities approachable. Turn database provisioning, migrations, and indexes into a reliable, easy-to-use product experience that gives people the power of a database without the burden of managing one.
- Build for the customers who come next. Automate database provisioning and fleet operations, strengthen observability, and evolve the architecture so we can serve many, many customers.
SKILLS YOU'LL NEED TO BRING:
- Production relational database experience (e.g., Postgres or MySQL). You’ve made decisions about schemas and indexes, analyzed database performance, and debugged issues involving transactions, locking, or concurrency. Your experience goes beyond accessing a database through an ORM.
- Engineering experience and technical leadership. You bring 10+ years of experience building and operating production software, with a track record of setting technical direction and leading complex, cross-team initiatives from concept through delivery. You identify the most important problems to solve, turn ambiguous goals into a technical strategy, and align engineers and partner teams around a practical plan. You stay hands-on while helping others make better decisions through design reviews, mentorship, and clear technical guidance.
- Strong backend engineering fundamentals. You’ve built services that need to remain correct under concurrency and failure. You can reason about retries, partial failures, consistency, and the trade-offs involved in reliable reads and writes.
- A systematic approach to performance. You use query plans, traces, profiles, and experiments to find bottlenecks and verify improvements. You’re willing to follow a problem across storage, services, and client code rather than stopping at a team boundary.
- Product judgment. You’re interested in who will use what you build, not just how it works. You can turn a customer’s problem into a technical approach and recognize when a better default or simpler workflow would solve it more effectively.
- Willingness to work across the stack. You bring backend depth, but you’re comfortable learning unfamiliar systems and working in client code when that’s what delivering a good experience requires.
- Fluency with AI-assisted engineering. You use AI to accelerate exploration, implementation, and testing while taking responsibility for understanding and validating the result.
NICE TO HAVES:
- Experience managing fleets of databases or building database platforms, including provisioning, upgrades, backups, and recovery.
- Deep Postgres expertise, such as advanced query optimization, performance tuning, or workload isolation for large datasets and high-concurrency workloads.
- Experience building query layers, sync engines, change-data-capture pipelines, permission systems, or other reusable data abstractions.
Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role’s scope and complexity, and the candidate’s experience and expertise, and may vary from the range provided below. For roles based in San Francisco, the estimated base salary range for this role is $234,000 – $352,000 per year.
By clicking “Submit Application”, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion’s Global Recruiting Privacy Policy https://notion.notion.site/Notion-Global-Recruiting-Privacy-Policy-fc3eb4e829354a26a2bb6fd5e289b550. https://dev.notion.so/a3ce416456924276a59de91bca740028?pvs=21
#LI-Onsite
A NOTE ON AI
You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on.
EQUAL OPPORTUNITY & ACCOMMODATIONS
We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know.
Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.
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: Remote
Workplace: Remote
At Adapty, we make it easy for mobile apps to manage in-app purchases and paywalls. We power 20K+ apps, process $3B+ in subscriptions every year, and have been growing fast for the last four years. Our mission is simple: make apps rich.
We are a team of 210+ passionate, product-driven people who love solving big challenges. Backed by top investors like 500 Startups and Surface Ventures, we are building one of mobile's fastest-growing SaaS companies and aiming for number one worldwide.
Why this role matters
Adapty runs on infrastructure we own and operate ourselves: a Proxmox and Ceph platform across OVH, Hetzner and bare metal, with parts of the stack in AWS and GCP. That platform processes billions of dollars of subscription volume a year, and today too much of it depends on a single engineer.
You are joining to take that platform over: fully owned, fully described in code, and cheap to run at scale. In your first months you will own Proxmox and Ceph end to end, drive resource rightsizing, and lead the split of our development workloads into a separate cluster.
What you'll do
- Own our Proxmox and Ceph platform end to end — capacity, upgrades, performance and incident response
- Run infrastructure across OVH, Hetzner and bare metal, alongside workloads in AWS and GCP
- Drive resource rightsizing: find where we overpay, size it correctly, and prove the saving in the bills
- Lead the separation of development workloads into a dedicated cluster, without downtime for production
- Keep everything as code — Terraform, Ansible, ArgoCD and GitLab CI, with no manual changes in production
- Own reliability: on-call, incident response, root cause analysis and the runbooks that follow
- Support the data layer our product runs on — PostgreSQL, ClickHouse, Aerospike
About you
- 10+ years working with infrastructure and physical hardware, not only managed cloud
- 5+ years running Kubernetes and cloud platforms in production
- Hands-on with bare metal and providers like OVH and Hetzner, plus AWS and/or GCP
- Strong with Terraform, Ansible, ArgoCD and GitLab CI — you describe infrastructure in code by default
- Real FinOps experience: you can name what infrastructure cost before and after you touched it
- You take problems all the way to the root cause and to the fix, including outside your formal scope
- You say things directly — risks and bad news arrive early, not after the incident
Nice to have
- Production experience with Proxmox and Ceph specifically
- PostgreSQL, ClickHouse or Aerospike at scale
- Experience splitting shared environments into isolated clusters
- Building observability and on-call practice from scratch
- High-load B2B SaaS background
WHAT'S IN IT FOR YOU
- Strong product with industry-best metrics. Adapty is among the top 5% fastest-growing SaaS companies.
- Exceptional compensation directly tied to your results.
- Direct communication and ownership. No bureaucracy, no politics, just impact.
- Flexible remote work. Join us from anywhere or work onsite in our Belgrade or London offices.
- Professional support. Language learning, sports, health insurance, laptop coverage, and more.
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’re 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'll 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.
What you need
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
.
Location: Berlin
Workplace: OnSite
ABOUT PEEC AI
Peec AI is the analytics platform for AI search. People increasingly discover products and make buying decisions through ChatGPT, Claude, Gemini, and Google's AI Overviews instead of traditional search, and most brands have no idea where they show up in those answers. Peec gives marketing, SEO, and growth teams the data to see exactly that: how visible their brand is across AI platforms, how they compare to competitors, and where to win.
We are defining this category, and the market is moving with us. Peec is a Series A company backed by 20VC and Singular, that went from $0 to $15M ARR in 18 months, with a 100+ person team across our Berlin HQ and our New York office.
ABOUT THE ROLE
We are hiring a Fullstack Engineer for our Growth team. You will run experiments across the whole self-serve journey: from the moment someone first hears of Peec AI to the day they renew, refer a friend or leave. That covers the website, signup, pricing and checkout, the trial and onboarding. It also covers the moments in the product where we ask people to do something, like connect a tool, invite a teammate or upgrade. You can work on any of these, and we decide together where the focus goes each month or quarter.
You come up with the hypothesis, design the experiment and discuss it with the team. Then you run the rest of the loop yourself: build it, instrument it, ship it behind a flag, read the result and write down what happened.
You report to the VP of Growth and work with our Growth PM, our growth engineer, and the marketing and design teams.
WHAT YOU'LL DO
- Go after big swings. We size every idea first and look for changes that could move a funnel step by 30 to 40 percentage points. It is fine if most of them fail.
- Build and improve the experimentation infrastructure. Feature flags, assignment at the account level, exposure logged when someone becomes eligible, outcomes recorded on the server, and holdouts we read.
- Keep conversion data accurate. Event design, funnel definitions and readouts the team can rely on.
- Own what you ship after launch. You watch it, read the result on the date you set, and decide whether we keep it, change it or remove it.
- Build internal tools that let the team run more experiments with less manual work.
WHAT WE'RE LOOKING FOR
- You have run growth experiments end to end. You formed the hypothesis, designed the test, built it and read the result. Not advised on them, not analysed someone else's.
- You write production code today. Strong React and TypeScript on the frontend, comfortable in Node.js and databases on the backend. Our stack is React, Node.js and Next.js.
- You know what your volume can detect. You can size a test, say how long it needs to run, and tell us when a result is not readable.
- SQL and analytics fluency. Funnels, cohorts, event design.
- B2B SaaS experience.
- You ship with Claude Code, Cursor or equivalent.
- Product judgement. You can tell which changes need a test, which can ship without one, and which are not worth building.
- Product taste. You care about how the things you ship look and feel. You can turn an idea into a screen that belongs in our product, and you know when to bring in our design team.
BONUS POINTS
- You set up an experimentation practice from scratch and grew it into a regular part of how the team works.
- Product-led growth experience. Onboarding, activation, paywalls, pricing, checkout.
- Acquisition experience. Website and signup experiments, SEO or paid funnels.
- Experiments on low-volume B2B funnels, where only big changes are readable.
- Experimentation platforms and feature flags. Statsig, GrowthBook, PostHog, or your own.
- Billing and subscriptions. Stripe or similar.
- You founded a company, or you were an early engineer at one.
- Side projects and experiments you can show us.
WHAT WE OFFER
- Exciting and challenging work with real impact and ownership at one of Europe's fastest-growing Series A startups
- Regular team events and off-sites
- Aggressive equity compensation package
- Paid Dinner & Uber home when working late
- The most beautiful office space and work environment in Berlin
Задачи:
— Переводить бизнес-задачи в архитектурные и технические решения
— Развивать AI-продукты, интеграции, новые каналы и источники данных
— Определять затрагиваемые компоненты, API, контракты, модели данных и бизнес-семантику
— Декомпозировать разработку на проверяемые задачи для AI coding agents
— Проверять сгенерированный код, проводить code review, тестирование и выпуск изменений
— Отвечать за стабильность, безопасность и конечный результат
Требования:
— Опыт промышленной разработки от 3 лет
— Бэкграунд в аналитике данных, BI или системном анализе
— Умение работать с бизнес-требованиями, метриками, моделями данных и интеграционными контрактами
— Практический опыт промпт-инжиниринга: проектирование, тестирование и оптимизация промптов для LLM, построение многошаговых AI-флоу и достижение стабильного качества ответов
— Практический опыт с LLM, AI-агентами, RAG, tool calling, structured outputs и MCP
— Уверенное знание TypeScript или Python, API, SQL, Git, CI/CD и автоматизированного тестирования
— Понимание принципов работы современных языковых моделей, ограничений LLM и способов повышения качества генерации
— Системное мышление, самостоятельность и ответственность за продукт целиком
Будет преимуществом:
— Опыт создания и оптимизации сложных промптов для различных AI-сценариев (reasoning, extraction, generation, classification)
— Опыт создания evals, guardrails и контроля качества AI-ответов
— Опыт работы с React, Telegram-ботами, BI-платформами и семантическими слоями
Условия:
— Конкурентную заработную плату (обсуждается индивидуально)
— Профессиональный рост и участие в масштабных проектах
— Работу в крупном холдинге с активной цифровой трансформацией
— Сильную ИТ-команду и поддержку руководства
— Необходимость краткосрочного приезда в солнечный Ташкент для оформления
Задачи:
— Переводить бизнес-задачи в архитектурные и технические решения
— Развивать AI-продукты, интеграции, новые каналы и источники данных
— Определять затрагиваемые компоненты, API, контракты, модели данных и бизнес-семантику
— Декомпозировать разработку на проверяемые задачи для AI coding agents
— Проверять сгенерированный код, проводить code review, тестирование и выпуск изменений
— Отвечать за стабильность, безопасность и конечный результат
Требования:
— Опыт промышленной разработки от 3 лет
— Бэкграунд в аналитике данных, BI или системном анализе
— Умение работать с бизнес-требованиями, метриками, моделями данных и интеграционными контрактами
— Практический опыт промпт-инжиниринга: проектирование, тестирование и оптимизация промптов для LLM, построение многошаговых AI-флоу и достижение стабильного качества ответов
— Практический опыт с LLM, AI-агентами, RAG, tool calling, structured outputs и MCP
— Уверенное знание TypeScript или Python, API, SQL, Git, CI/CD и автоматизированного тестирования
— Понимание принципов работы современных языковых моделей, ограничений LLM и способов повышения качества генерации
— Системное мышление, самостоятельность и ответственность за продукт целиком
Будет преимуществом:
— Опыт создания и оптимизации сложных промптов для различных AI-сценариев (reasoning, extraction, generation, classification)
— Опыт создания evals, guardrails и контроля качества AI-ответов
— Опыт работы с React, Telegram-ботами, BI-платформами и семантическими слоями
Условия:
— Конкурентную заработную плату (обсуждается индивидуально)
— Профессиональный рост и участие в масштабных проектах
— Работу в крупном холдинге с активной цифровой трансформацией
— Сильную ИТ-команду и поддержку руководства
— Необходимость краткосрочного приезда в солнечный Ташкент для оформления
Location: Poland
OUR HIRING PROCESS:
We will review your application against our job requirements. We do not employ machine learning technologies during this phase as we believe every human deserves attention from another human. We do not think machines can evaluate your application quite like our seasoned recruiting professionals—every person is unique. We promise to give your candidacy a fair and detailed assessment.
We may then invite you to submit a video interview for the review of the hiring manager. This video interview is often followed by a test or short project that allows us to determine whether you will be a good fit for the team.
At this point, we will invite you to interview with our hiring manager and/or the interview team. Please note: We do not conduct interviews via text message, Telegram, etc. and we never hire anyone into our organization without having met you face-to-face (or via Zoom). You will be invited to come to a live meeting or Zoom, where you will meet our INFUSE team.
From there on, it’s decision time! If you are still excited to join INFUSE and we like you as much, we will have a conversation about your offer. We do not make offers without giving you the opportunity to speak with us live.
INFUSE is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our
Privacy Policy
We're looking for Senior AI Engineers to design, build and run LLM-powered agents and AI features in production. You'll work across the full lifecycle: from scoping a use case with stakeholders, through architecture and development, to deployment, evaluation and ongoing improvement.
This is a hands-on role for engineers who think like product owners: you understand the business problem, define what success looks like in numbers, ship to real users, and own the result after launch.
Our stack: Python and TypeScript/Node.js, PostgreSQL, Kafka, Docker, GitHub Actions, AWS. We run multiple LLM providers (Anthropic, OpenAI, Google, AWS Bedrock and others) behind a shared LLM gateway, with MCP for tool access. We work AI-native: agentic coding tools are part of how engineering gets done here, and we provide official Anthropic Claude certification for our engineers.
As part of our team, your responsibilities in this role will include:
Design and build LLM agents and agentic workflows: tool use via MCP, structured outputs, retrieval (RAG), multi-step orchestration, human review steps where needed.
Build and maintain MCP servers and tool layers that give agents governed access to company data and systems.
Own quality and cost: evals and golden sets, per-agent telemetry (tokens, cost, latency, accuracy), prompt and model versioning, provider failover and model routing.
Ship through CI/CD like any other production service: tests and evals in the pipeline, containerized deploys, monitoring, rollbacks.
Contribute to shared platform pieces: the agent template, the LLM gateway, observability.
Work directly with business stakeholders to scope, prioritize and validate use cases. Push back when something doesn't need an agent.
Use AI coding tools daily. Claude Code is our default; deep experience with a comparable agentic tool also works. You drive the tool, verify its output and catch its mistakes.
Our ideal candidate possesses the following skills:
5+ years of software engineering experience, with production systems you've designed, shipped and supported.
Proven experience building LLM-based agents or agentic workflows that reached production with real users.
Hands-on experience with agent frameworks and SDKs: Claude Agent SDK, Claude Managed Agents, Pydantic AI, LangGraph or similar. You can also explain what you'd build without one.
Hands-on experience with MCP and RAG: you've built MCP servers or equivalent tool layers, and retrieval pipelines over real, messy data.
Experience with multiple LLM providers and with AWS Bedrock: model selection, routing, fallbacks, cost and rate-limit management.
Strong Python and SQL. Comfortable in TypeScript/Node.js.
Solid production engineering on AWS: Docker, CI/CD, testing, observability.
Product thinking and business focus: you start from the problem and its cost, define success in measurable terms, and own outcomes.
Daily use of agentic coding tools (Claude Code, Codex, Cursor or similar), with the judgment to verify what they produce.
Clear communication with technical and non-technical stakeholders, in English.
Nice to have:
LLM observability or gateway tooling (Langfuse, LiteLLM, OpenTelemetry for LLM traces or similar).
B2B contact and company data: enrichment, deduplication, matching.
Cloud operations or FinOps: monitoring, incident handling, cost management.
Event-driven or workflow-engine experience (Kafka, Temporal or similar).
Experience replacing no-code or workflow-tool automations with production code.
What we offer:
Fully remote work format;
A collaborative and creative environment that values initiative and experimentation;
Paid time off and sick leave;
Reduced working hours on Fridays during the summer;
Days-off on US national holidays + your birthday;
Schedule: 14 PM - 23 PM EEST (Kyiv time).
Location: San Francisco, CA | New York City, NY
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
The IT Operations team keeps Anthropic running. We make sure every employee can do their best work without friction. We're hiring an IT Operations Engineer to develop our global asset management and hardware lifecycle program across our offices in San Francisco, New York, Seattle, London, Dublin and Sydney. You will bring program expertise to how we track hardware as inventory through its whole life: procurement and receiving, the inventory of record, assignment, refresh, collection and recovery, e-waste and secure disposal, and reseller relationships, iterating and scaling practices as we mature. The same person runs day-to-day operations for our corporate mobile program in addition to expertise in management of laptop and workstation lifecycle operations.
You'll partner with several teams within the IT, Security and business operations organizations: IT Hardware Ops runs procurement, fleet logistics, onboarding and offboarding, the storage room, and physical intake. The Endpoint pod owns MDM, device policy and enrollment. Finance owns the budget and vendor contracts. Hardware requests that come through the IT Support queue land with the IT Support team, and you'll help define how they are handled.
Responsibilities
Strategy and Tooling
Develop the global asset management strategy: the lifecycle model, the data we keep on every device, and how each office executes against it
Select, implement and administer the asset management tool, define its data model and integrations, and partner with IT Engineering where the work needs platform-level access
Contribute to and develop the processes on-site engineers in each office execute against, including the storage room process
Support the evaluation and onboarding of a hardware lifecycle services vendor and, once in place, run the day-to-day relationship
Inventory and Assignment
Establish the inventory of record across systems and keep it accurate, from receiving through disposal: every device, its state, its location, and who has it
Run audits of who-has-what and reconcile physical counts against the system of record
Manage demo, loaner, and travel device inventories, ensuring devices are accurately tracked through complex logistical deployments
Maintain up-to-date inventory counts and make strategic purchasing decisions in support new hire onboarding and peripherals stock levels
Procurement and Refresh
Support hardware purchasing through our reseller and vendor relationships, working from the refresh calendar
Build out the refresh calendar and advance it across offices
Reconcile purchase orders, deliveries and invoices with Accounting and vendors so that what was ordered, received, and billed line up
Collection, E-waste and Disposal
Develop device collection and recovery workflows: offboarding returns, refresh swaps, remote-employee returns and the BPO fleet, including the shipping and tracking that goes with them
Build the e-waste program: certified recycling and secure disposal partners in each region, data destruction records, and the chain of custody from collection to certificate
Handle equipment under legal hold or other chain-of-custody requirements
BPO and Contingent Fleet
Provision, track and recover the device fleet for our BPO partners, and be the day-to-day hardware contact for those vendors
Corporate Mobile
Run day-to-day operations for the corporate mobile program and write its runbook
Manage deployment, break-fix, and carrier relationships associated with a mobile device fleet
Automation
Identify repetitive work throughout the operation and automate it with the tools at hand (scripts, systems integrations / connectors, AI tools)
You may be a good fit if you
Have implemented an asset management and lifecycle program for a multi-office fleet, not only run one: taken it from spreadsheets or nothing to a system of record and defined the processes around it (procurement, inventory, assignment, refresh, collection and disposal), ideally in a fast-paced or high-growth environment
Have selected or implemented an asset management platform such as Jira Assets, Snipe-IT or similar, and developed the data model
Have run an e-waste or secure disposal program with certified partners and chain-of-custody records
Have managed reseller or vendor relationships for hardware purchasing and asset disposal
Write things down: runbooks, how-to guides and knowledge base articles
Recognize when a request reaches past this role and route platform work to IT Engineering, policy to the Endpoint pod, and budget to Finance
Strong candidates may also
Have supported a corporate mobile program or carrier account
Have basic scripting experience (Bash or Python) for inventory or reporting automation
Have experience using AI tools to improve personal or team productivity
Have been the hands-on asset contact for an ISO 27001 or SOC 2 audit: pulled extracts from the register, produced disposal certificates and evidence of returned assets
Deadline to apply: None. Applications will be received on a rolling basis.
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$180,000
—
$230,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
