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.
The Opportunity:
Grafana Labs is looking for an
Strategic Account Executive, Growth
who will be responsible for prospecting and growing existing business across the
West region
. You will identify, nurture and close opportunities with existing customers. You will manage forecasts and track customer data. We're strong proponents of a consultative sales approach - learn about the customer's needs first before talking about our products. Your expertise will be critical in helping articulate the value of our products, work with the customer during the trial phase and hand off a strong relationship to our Customer Success team.
What You’ll Be Doing:
Identify new opportunities to expand Grafana usage within a set of current customers
Meet and exceed individual quarterly and annual sales goals
Manage all aspects of the sales process (prospecting, sales meetings, product demos, proofs of concept, proposals, negotiations and account management)
Cultivate sales through outbound prospecting and inbound leads
Be able to understand and convey the value of both Grafana Cloud and Grafana Enterprise
Become an expert in managing your sales pipeline in Salesforce
Manage quote creation, order processing, and day-to-day customer requests
What Makes You a Great Fit:
5+ Years of Experience in Infrastructure Technology Sales
Demonstrated history of consistent goal achievement in a highly competitive environment (top 10% performer)
Energetic, upbeat, entrepreneurial, tenacious team player
Adaptable and with demonstrable experience in high velocity technology companies
Experience using Salesforce
You will need to be an excellent communicator in all channels (in person, online, in writing) and able to form strong working relationships both in person and virtually
Bonus Points For:
Familiarity with open source technology is a significant advantage
Experience using Command of the Message and MEDD(P)ICC is ideal
Compensation & Rewards:
In the United States, the OTE (On-Target Earnings) compensation range for this role is $32
0,000 - $340,000.
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.
*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: San Francisco, CA
Workplace: Hybrid
About Niantic Spatial
AI has learned from almost everything online, but it still struggles with the physical world, where 99.5% of economic activity happens. It doesn’t know where things are, how spaces fit together, or what changes over time.
That’s one of the biggest unsolved problems in AI, and it’s the one we’re solving at Niantic Spatial. We build spatial AI models and services so people and machines can reason, learn and act safely in the physical world. We turn camera imagery, video, sensor data and archives into accurate, AI-readable representations of real places that robots can train in and machines can use to know exactly where they are.
In physical AI, mistakes have real consequences. That’s why we build AI grounded in measured reality, not guesswork, so the people and machines relying on it can trust it to get things right.
Our team built some of the world’s most widely used maps. Now we’re building something bigger: a living, measured record of the real world that machines can query, learn from and use to understand how places change over time. If you want to help AI understand the world we actually live in, come build with us.
About the Role
Niantic Spatial makes the physical world computable, helping people and machines collaborate safely by aligning how they understand reality. One of the fundamental problems we're helping autonomy teams and engineers overcome is the sim-to-real gap for visual-spatial understanding. We're applying our team's decades of experience encoding the world precisely as it is at Google Maps, Google Earth, and Niantic Labs to build the scalable real-to-sim stack for embodied AI.
We're looking for a Senior Computer Vision Engineer to join our Embodied AI team, focused on 3D scene understanding and semantics. A reconstructed environment is only useful to a robot once it knows what is in it: which surfaces are floor, which objects can be grasped, moved, or opened, where one room ends and another begins. You'll work hand in hand with our Research Scientists to take advances in open-vocabulary perception, 3D semantic labeling, and scene graph construction and turn them into reliable capabilities that embodied AI teams can use in production.
This is an applied research role. You'll live at the boundary between a research prototype and a production pipeline: adapting methods so they hold up on messy customer captures, lifting 2D semantic signals into geometrically consistent 3D, defining what "semantically correct" means for a downstream policy, and feeding what you learn back into the research agenda. You understand that the difficult part is often not the core method, but the messy inputs, edge cases, operational constraints, and downstream requirements surrounding it. You care about quality, cost, latency, and reliability, and you know that a system is only successful when people can depend on it. This is a hands-on engineering role for someone who wants to build, ship, and own outcomes. You'll help shape both the technology and the product, while remaining close to the code and the problems our customers are trying to solve.
What You'll Do
- Productionize 3D Scene Understanding Capabilities - Turn research prototypes in open-vocabulary segmentation, 3D semantic and instance labeling, affordance prediction, and scene graph construction into reliable pipeline components and services that operate across varied customer data and environments.
- Own End-to-End Output Quality - Ensure that reconstructed environments carry labels, instances, and relationships that are consistent, complete, and correct enough for downstream simulation and policy learning, and define what "correct enough" means for each customer workflow.
- Bridge Research and Production - Work day to day with the Embodied AI Research Scientist: pressure-test new methods on real customer data, identify where they break, and bring production and customer constraints back into research planning to prioritize the advances that matter most.
- Make Systems Robust to the Real World - Diagnose failures caused by capture quality, scene complexity, scale, calibration, coordinate conventions, and other assumptions that prototypes often leave implicit.
- Build Evaluation and Quality Infrastructure - Create datasets, regression tests, quality gates, and benchmarking tools that help the team measure whether changes improve the system.
- Improve Performance, Throughput, and Cost - Profile and optimize GPU and distributed workloads, reduce unnecessary reruns, and help establish the economics of running reconstruction at scale.
- Work Across the Product Boundary - Partner with Embodied AI product and engineering teams to understand customer requirements and deliver capabilities that fit real training, evaluation, and deployment workflows. Help evolve the representations, tooling, and operational systems that allow reconstructed environments to move reliably into customer applications.
What You'll Bring
- 5+ years of computer vision experience and a bachelor's degree or equivalent,
- Significant experience building and operating production computer-vision, machine-learning, graphics, or data-processing systems.
- Deep hands-on experience with scene understanding: semantic, instance, or panoptic segmentation; open-vocabulary detection and segmentation; or vision-language models applied to perception.
- Experience taking 2D perception into 3D, such as multi-view label fusion, 3D semantic segmentation, instance tracking across views, or scene graph construction over reconstructed geometry.
- Experience delivering reliable computer-vision or 3D systems used by other teams or customers, including the evaluation that proved they worked..
- Practical command of 3D and spatial data, including geometry, camera models, coordinate frames, calibration, and metric scale.
- Strong Python and PyTorch skills, with the ability to work in C++ or other performance-oriented environments when needed.
- Experience with cloud infrastructure, GPU workloads, distributed processing, or large-scale data pipelines.
Nice to Have
- Hands-on experience with 3D reconstruction, photogrammetry, structure from motion, Gaussian splatting, neural rendering, or meshing.
- Experience with SLAM, visual positioning, localization, or large-scale mapping systems.
- Experience with robotics, simulation, or embodied AI applications, in particular how semantic labels are consumed by a policy or a simulator.
- Built evaluation or benchmarking infrastructure for perception or reconstruction systems.
- Experience optimizing large-scale GPU inference workloads for cost, throughput, or latency.
- A publication record or contributions to widely used open-source perception codebases.
- Advanced degree in computer vision, robotics, machine learning, or a related field.
Competencies
- Relentless bias for action. You make decisions and ship as if the company’s success depends on it, because it does. You set the pace, and drive the people around you to rise to it.
- Intellectually honest. You know there’s just one job that underpins every other in a startup: find the truth. You are relentless in your pursuit of it, including when it challenges your own convictions, and you raise concerns when you see them — even when it's uncomfortable, and especially when it's unpopular.
- Pragmatic. You have no patience for not-invented-here Syndrome and analysis paralysis. You find the fastest path to a working capability without one-way doors that undermine scaling.
- Strong systems instincts. You understand that production quality includes reliability, observability, cost, latency, maintainability, and usability—not just algorithmic accuracy.
- Comfort with ambiguity. You can make progress when the problem, data, and requirements are still evolving.
Compensation & Benefits
Base salary range of $229,500 to $255,000 per year. Compensation also includes an annual bonus, equity, and a comprehensive benefits package including medical, dental, and vision coverage, 401(k), and more.
Location & Work Model
This role is based in our San Francisco office, with three days per week in office.
Inclusive Application
We know the strongest candidates don't always tick every box. If you're excited about this role and believe you could do it well, we encourage you to apply even if your experience doesn't match every qualification listed - you may be exactly who we're looking for.
Equal Opportunity
Niantic Spatial is an equal opportunity employer. Individuals seeking employment at Niantic Spatial are considered without regard to race, color, ancestry, national origin, religion, creed, age, gender (including pregnancy, childbirth, breastfeeding or related medical conditions), marital status, physical or mental disability, medical condition, genetic information, military or veteran status, gender identity, gender expression, sexual orientation, or any other protected category under applicable laws. Niantic Spatial will also consider qualified applicants with criminal histories in accordance with applicable laws. Please contact your recruiter if you want to request an accommodation for the job application or interview process.
Candidate Privacy
I understand that by submitting my job application, the information I provide as part of that application will be used in accordance with Niantic Spatial's Privacy Notice for Job Applicants and Candidates https://www.nianticspatial.com/applicant-privacy-notice.
Location: Remote; Seattle, WA; London; New York, NY; San Francisco, CA
Workplace: Remote
We are building AI to simulate the world through merging art and science.
We believe that world models are at the frontier of progress in artificial intelligence. Language models alone won’t solve the world’s hardest problems – robotics, disease, scientific discovery. Real progress requires models that experience the world and learn from their mistakes, the same way that humans do. And this kind of trial and error can be massively accelerated when done in simulation, rather than in the real world.
World models offer the most clear path to general-purpose simulation, changing how stories are told, how scientific progress is made and how the next frontiers of humanity are reached.
Our team consists of creative, open minded, caring and ambitious people who are determined to change the world. We aspire to continuously build impossible things and our ability to do so relies on building an incredible team. If you are driven to do the same, we'd love to hear from you.
*Titles posted to our careers page are updated regularly to best advertise the role and expected seniority, but internally we have a flat titling system with two types of titles: one for individual contributors and one for people managers.
ABOUT THE ROLE
Open to hiring remote across North America and London — we also have offices in NYC, San Francisco, Seattle, and London.
We're building a tool that makes content creation easy and accessible for all types of creatives. Our users love it. Runway has an actively engaged and growing community of passionate artists and creators worldwide. And we're scaling the systems behind our support team so we can keep delivering delightful experiences as that community grows.
We're looking for a Support Systems Engineer who ships production code, not tickets and specs: someone who takes a fix from proposal to merged PR themselves. This role reports directly to the Head of Customer Experience.
WHAT YOU’LL DO
- Own the AI support agent, our ticketing system and other Support tools end to end: authentication (JWT), response logic, routing, escalation paths and tone, tested in staging before it sees live traffic
- Ship daily product changes that remove ticket volume. Recent example: extending automatic refund eligibility to one-click credit purchases, accidental upgrades and month-based proration on annual terms
- Build and maintain internal CX tooling as real software, not one-offs: scripts, jobs, dashboards, admin surfaces
- Run QA and evals with real test suites and pass/fail rubrics, plus monitoring and alerts for outages, bugs and volume spikes
- Own releases: staged rollouts, a regression suite before every ship, clear rollback criteria, a writeup when something reaches production
- Build the CX reporting the org runs on: volume, deflection, CSAT, reply and resolution time, escalation accuracy, agent spend. You own the correctness and availability of the queries.
- Build and stage the guardrails on refunds, account changes and anything touching money or PII, including the audit trail
- Keep the knowledge base accurate and structured for the agent to parse, and manage the handoff into the ticketing system
- Keep the CX roadmap and the coverage model current, sequenced against priorities set by the Head of CX, so gaps show up before they bite
- Run the day-to-day with our AI platform vendor: weekly working session, joint roadmap, issues filed with reproductions
- Carry signal across teams: Product and Engineering on bugs and rollouts, Customer Education on self-serve, community on Discord and the forums, GTM and Analytics on routing and reporting
WHAT YOU’LL NEED
- 5+ years in Customer Experience, Support Engineering or Support Operations, with real time spent writing code
- You ship production code in codebases you didn't write: read TypeScript, trace logic through someone else's service, put up a PR that survives review. Our stack is TypeScript and Node.js on AWS
- Hands-on experience building and tuning AI or LLM-powered support workflows: prompt and context engineering, routing, escalation design, evals
- SQL experience. You own the reporting, so you shouldn't be waiting on Analytics for it
- Code-level experience with a billing or payments API: invoices, prorations, refunds. A large share of consumer tickets live here
- Git, PR review, CI, staging and feature flags as your default way of working
- Real QA and eval experience: you can define rubrics, build test suites and calibrate against what good looks like
- Judgment about where a fix belongs, in code, in the agent or in the knowledge base
- A track record carrying signal between support, product and other functions and turning it into action
- Comfort managing your own work in a fast-moving environment, high ownership and high autonomy
- Genuine interest in AI, creative tools or both
WHAT SETS YOU APART
The most successful person in this role treats the agent and the systems around it like a product they own. They watch where it fails, ship the fix and check whether it worked. They build reporting people actually use. And they show up with improvements no one asked for yet.
FOR YOUR APPLICATION
During our interview process, you'll have several chances to get acquainted with the Runway product and use all the features our team has built, and that starts now. As part of your application, instead of a cover letter, we ask that you try out the Runway product, specifically build a custom workflow.
Runway strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity for our team. Our salary ranges are based on competitive market rates for our size, stage and industry, and salary is just one part of the overall compensation package we provide.
There are many factors that go into salary determinations, including relevant experience, skill level and qualifications assessed during the interview process, and maintaining internal equity with peers on the team. The range shared below is a general expectation for the function as posted, but we are also open to considering candidates who may be more or less experienced than outlined in the job description. In this case, we will communicate any updates in the expected salary range.
Lastly, the provided range is the expected salary for candidates in the U.S. Outside of those regions, there may be a change in the range, which again, will be communicated to candidates.
WORKING AT RUNWAY
Great things come from great teams. https://www.youtube.com/watch?v=kwmj4ato2kw&ab_channel=Runway We’d love to hear from you.
We’re committed to creating a space where our employees can bring their full selves to work and have equal opportunity to succeed. So regardless of race, gender identity or expression, sexual orientation, religion, origin, ability, age, veteran status, if joining this mission speaks to you, we encourage you to apply.
More about Runway
- Universal World Simulator https://runwayml.com/world-simulator.html
- GWM-1 https://runwayml.com/research/introducing-runway-gwm-1
- Gen-4.5 https://runwayml.com/research/introducing-runway-gen-4.5
- General World Models https://runwayml.com/research/introducing-general-world-models
- Robotics SDK https://runwayml.com/research/introducing-runway-gwm-1#robotics-section
- Conversational Real-time Agents https://runwayml.com/research/introducing-runway-gwm-1#avatars-section
- Runway Studios https://runwayml.com/studios
We're excited to be recognized as a best place to work:
Crain's https://www.crainsnewyork.com/awards/best-places-work-2023 | InHerSight https://www.inhersight.com/companies/best/city/new-york-city-ny | BuiltIn NYC https://builtin.com/awards/new-york-city/2024/best-places-to-work | INC https://www.inc.com/best-workplaces/2024
Location: Remote, Canada; Remote, United States
GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster.
The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems.
Co-create the future with us
as we build technology that transforms how the world develops software.
*
Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab.
An overview of this role
As a Senior Developer Advocate at GitLab, you'll help technical audiences understand and use our intelligent orchestration platform where teams and their AI agents ship secure software faster. You'll go deep on the product, especially GitLab Duo Agent Platform and our newer capabilities, and continuously discover real-world workflows that teams care about. You'll turn that hands-on knowledge into demos, blog posts, videos, and presentations, and bring what you learn from customers and the developer community back to GitLab.
This role focuses on showing the product in action and building relationships with customers and the community. You'll help cover events and work across U.S. and Canadian time zones.
What you'll do
Deeply understand GitLab's platform, especially our AI agent capabilities, and continuously find productive, real-world use cases worth showing.
Create product content, including videos, blog posts, presentations, and social clips that show key use cases for GitLab in the user interface and terminal.
Produce video content end to end: script, record, and edit product walkthroughs and demos, and collaborate with GitLab's video team on longer or higher-production pieces.
Deliver product demos and participate in analyst briefings.
Engage with customers through webinars, customer meetings, and other conversations.
Participate in the developer community by engaging on the GitLab forum and Discord, following the conversations happening on social platforms, in newsletters, and at events, and making sure GitLab has a voice in the ones that matter.
Answer technical questions that come through the sales team, and partner with support, sales, and product on developer-facing educational content.
Use hands-on product experience to share feedback with product teams and test new features.
Contribute to technical research and analysis of the developer tools landscape.
Travel requirement up to 20% for events and customer meetings.
What you'll bring
Hands-on technical experience. You understand how software gets built, with a focus on everything that happens after code is written, and can talk about it credibly with engineers.
Understanding of artificial intelligence and its use in software development, from coding all the way to production. You have built and operated agentic systems and infrastructure.
The ability to explain technical products clearly. You can demo a product, record a walkthrough, or speak at a conference without it feeling forced.
Fluency in developer social platforms. You know what's interesting to the people we're trying to reach and can participate in the conversation with credibility.
Curiosity and self-direction. You're already finding the next thing worth talking about, following the right people, and noticing opportunities.
Experience engaging with customers, developers, or technical communities.
Ability to work independently and collaborate across sales, engineering, product, and other teams.
About the team
The Developer Advocacy team creates content that shows GitLab in use, engages with customers and the developer community, and brings hands-on product feedback to GitLab teams. The team also contributes technical research and analysis, while partnering with other groups to share its findings.
The base salary range for this role’s listed level is currently for residents of the United States only. This range is intended to reflect the role's base salary rate in locations throughout the US. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location. The base salary range does not include any bonuses, equity, or benefits. See more information on our
benefits
and
equity
. Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary.
United States Salary Range
$115,200
—
$194,400 USD
How GitLab Supports Full-Time Employees
Benefits to support your health, finances, and well-being
Flexible Paid Time Off
Team Member Resource Groups
Equity Compensation & Employee Stock Purchase Plan
Growth and Development Fund
Parental Leave
Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from
underrepresented groups
are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application.
Country Hiring Guidelines:
GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process.
Privacy Policy:
Please review our
Recruitment Privacy Policy.
Your privacy is important to us.
GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also
GitLab’s EEO Policy
and
EEO is the Law
. If you have a disability or special need that requires
accommodation
, please let us know during the
recruiting process
.
Location: Ireland, Dublin
Why Sony Interactive Entertainment?
Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity.
Role overview
We're looking for a Staff Network Systems Engineer to help drive the transition of our global network infrastructure from manually managed and inconsistent configurations to a standardised, version-controlled and increasingly automated operating model.
This hands-on staff-level individual contributor will establish Infrastructure as Code practices, reusable automation, automated validation and safe delivery pipelines. The role will reduce configuration drift, make changes repeatable and auditable, and help the wider team adopt modern software-engineering practices.
Working across network engineering, security, architecture and platform teams, you'll help frame and influence technical direction, create practical standards and guardrails, and remain actively involved in enterprise network engineering and operational delivery.
What you'll be doing:
Assess the network estate, toolchain and operational workflows; identify sources of configuration variance, manual effort and change risk; and help define a phased modernisation roadmap.
Establish the Infrastructure as Code operating model, including the authoritative source of truth, configuration standards, source control, peer review, testing, release governance and secure handling of credentials.
Build reusable automation using object-oriented or comparable programming languages such as Python and Go (Golang), together with Terraform, Ansible, APIs and configuration-management tooling.
Develop CI/CD pipelines with automated linting, testing, intended-state validation, drift detection, policy checks, approvals, controlled rollout and reliable rollback patterns.
Partner with engineering, architecture and security teams to translate network intent into version-controlled implementations and influence reference architectures, standards, lifecycle plans and service roadmaps.
Lead the safe migration of existing services into the automated model while remaining hands-on during complex delivery, business-as-usual operations, critical changes, troubleshooting and major incidents.
Participate in technical authority and design-review forums, mentor engineers, and ensure automation becomes a sustainable team capability rather than knowledge held by a single specialist.
What we are looking for:
A strong track record of modernising network infrastructure through automation or Infrastructure as Code in a large, complex production environment.
Strong software-engineering skills in object-oriented or comparable programming languages such as Python and Go (Golang), including maintainable code, structured data, API integration, testing, error handling and documentation.
Practical experience with Terraform, Ansible or comparable tooling, including reusable, idempotent automation components and controlled infrastructure delivery.
Strong working knowledge of Git, pull-request workflows, CI/CD pipelines, automated testing, release controls, policy enforcement and secrets management.
Deep enterprise networking knowledge across routing, switching, wireless, resilient design, network access control and secure remote connectivity, together with advanced Juniper Mist, EX Series and Junos experience or equivalent platform expertise.
Expert troubleshooting and engineering judgement, with experience supporting operational delivery, complex changes, major incidents and root-cause improvement.
Staff-level influence and communication skills, including shaping technical direction across teams, building consensus, contributing to governance forums and developing other engineers.
Desirable Experience
Network APIs and data models, including REST, NETCONF, RESTCONF, JSON, YAML and YANG-based workflows.
GitHub Enterprise, GitHub Actions, automated policy enforcement, artefact management and developer enablement.
Azure or AWS networking, enterprise authentication, Zero Trust principles and network observability platforms.
Architecture governance, technical authority panels, strategic vendor engagement and globally delivered service operations.
High-availability gaming, digital-media, creative or similarly demanding production environments.
Work Expectations and Measures of Success
This is a staff-level role combining hands-on engineering with technical leadership across a global network environment. You'll build production automation, guide others and remain engaged with operational delivery. The objective is to establish an engineering system the team can operate and improve over time while maintaining secure, resilient and supportable network services.
Success will be demonstrated through:
Increased coverage of network infrastructure managed through version-controlled automation.
Reduced configuration drift, manual intervention, operational toil and dependency on individual subject-matter experts.
Shorter and more predictable change lead times, with improved auditability, validation and rollback confidence.
Lower change-failure rates, maintained service reliability and faster recovery from configuration-related incidents.
Sustained adoption of automation standards, modules and delivery practices across the wider engineering team.
At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location.
Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location.
In addition, this role is eligible for SIE’s top-tier benefits package that includes paid time off, wellness program and coveted employee discounts for Sony products. This role also may be eligible for a bonus package. Click
here
to learn more.
Base $109,400 - $164,000 + Bonus & Benefits.
Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks.
Please refer to our
Candidate Privacy Notice
for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights.
Equal Opportunity Statement:
Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category.
We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond.
Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.
Location: Mexico City
Workplace: Remote
We are looking for an Enterprise Account Executive to drive net-new logo acquisition across enterprise accounts across Mexico.
WHAT YOU WILL BE DOING:
- Identify, develop, and advance strategic opportunities; build and manage a high-quality pipeline; close both short-term Cloud monthly agreements and larger annual committed spend contracts.
- Clearly articulate and evangelize the ClickHouse vision, positioning, and technical differentiation in the market.
- Lead value-driven, solution-oriented sales engagements that align ClickHouse to measurable customer outcomes.
- Represent and promote the innovation happening across ClickHouse and ClickHouse Cloud within your territory.
- Maintain rigorous pipeline hygiene by documenting use cases, decision criteria, stakeholders, next steps, and forecasts in Salesforce.
- Deliver accurate monthly forecasts with strong visibility into deal progression and risk factors.
- Contribute to the regional user and developer ecosystem by participating in and hosting meetups, events, and community engagement initiatives in key metro markets.
- Operate with urgency, ownership, and accountability in a fast-paced, high-growth environment.
WHAT YOU BRING ALONG:
- Proven ability to orchestrate cross-functional resources — including Solutions Architects, leadership, and executive stakeholders — to drive complex opportunities to successful outcomes.
- Ability to align ClickHouse Cloud solutions to customer business objectives, technical requirements, and long-term growth initiatives.
- Recent experience working with GenAI or AI-native companies and an understanding of their data infrastructure needs.
- 6+ years of enterprise SaaS sales experience; familiarity with open-source business models strongly preferred; demonstrated experience selling Cloud or infrastructure software required.
- Passion for building long-term customer relationships and collaborating cross-functionally within diverse, high-performance teams.
- Strong business acumen and technical fluency, with excellent written and verbal communication, negotiation, and executive presentation skills.
PERKS
- Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries.
- Healthcare - Employer contributions towards your healthcare.
- Equity in the company - Every new team member who joins our company receives stock options.
- Time off - Flexible time off in the US, generous entitlement in other countries.
- A USD$500 Home office setup if you’re a remote employee.
- Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites.
CULTURE - WE ALL SHAPE IT
As part of a rapidly scaling start-up, you will be instrumental in shaping our culture.
Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse.
EQUAL OPPORTUNITY & PRIVACY
ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.
Location: Remote, United States
GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster.
The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems.
Co-create the future with us
as we build technology that transforms how the world develops software.
*
Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab.
This is a future opportunity that may not be immediately available, but we're proactively building our pipeline of exceptional talent. At GitLab, we believe in connecting with outstanding professionals before we have an urgent need, allowing us to move quickly when the right moment arises. If you are excited about co-creating the future as we're building the most comprehensive AI-powered DevSecOps platform, we want to hear from you.
Location: San Francisco
An overview of this role
As a Strategic Account Executive on our AMER Enterprise team, you'll help large, regulated organizations adopt, implement, and expand their use of GitLab’s AI-powered DevSecOps platform. You’ll focus on strategic enterprise prospects and customers, guiding them through complex DevSecOps and software delivery transformations across areas like CI/CD automation, secure development, and infrastructure modernization. In this role, you'll act as a key connector between customer stakeholders and GitLab’s field organization so GitLab is seen as a trusted, long-term partner before, during, and after the sale. In your first year, you’ll be expected to build and manage a healthy enterprise pipeline, create repeatable sales motions, and drive successful rollouts and adoption that translate into measurable results and long-term expansion.
What you'll do
Support GitLab’s strategic large prospects and customers as a trusted advisor throughout their DevSecOps journey.
Drive the full sales cycle in large, complex enterprises, including prospecting, qualifying, developing, and closing new opportunities across your assigned accounts.
Provide strong account leadership and direction in both the pre-sales and post-sales process to ensure customers realize value from GitLab’s AI-powered DevSecOps platform.
Coordinate closely with Solutions Architects, Customer Success, Support, and strategic channel partners to design and execute account strategies that drive adoption, expansion, and retention.
Develop and execute structured account plans based on customer business needs, including opportunity mapping, stakeholder alignment, and multi-threaded engagement across technical and business teams.
Ensure successful rollout and ongoing adoption through proactive account management activities, regular business reviews, and clear alignment on customer outcomes.
Prepare and deliver accurate activity and forecast reports, and contribute to root cause analysis on wins and losses while sharing lessons learned with account managers, marketing, and technical teams.
Act as the voice of the customer by sharing feedback and product ideas, and use a consultative approach to create proposals, quotes, and presentations that clearly link GitLab’s solutions to customer business objectives.
What you'll bring
A true desire to see customers achieve meaningful outcomes and long-term value from their investment in GitLab.
Experience driving complex B2B software sales cycles with large enterprises, ideally in DevSecOps, software development tools, or adjacent SaaS solutions.
Proven success selling into large, strategic organizations, with the ability to build trusted relationships with C-level and senior stakeholders across business and technical teams.
Able to provide a high degree of account management and control, working under minimal supervision on complex opportunities while maintaining clear communication and alignment.
Ability to generate new business and expand existing accounts through consultative, multi-stakeholder sales motions that result in sustainable, long-term partnerships.
Experience collaborating with strategic channel partners to develop opportunities, co-sell, and support successful customer adoption.
Excellent negotiation, presentation, and closing skills, with effective written and verbal communication that influences internal and external stakeholders.
Preferred experience with Git, software development tools, application lifecycle management, or security/application security tools.
You share our values and work in accordance with them, use GitLab in your daily work, and are able to travel if needed while following GitLab’s travel policy.
About the team
The Enterprise Sales team is responsible for driving growth, adoption, and long-term value for GitLab's AI-powered DevSecOps platform with our largest and most strategic customers. As a Strategic Account Executive on the AMER Enterprise team, you'll be part of a distributed, all-remote team that works asynchronously across regions and partners closely with GitLab's sales engineering, marketing, and customer success teams. We value transparency, collaboration, and a consultative approach, and we support one another through shared account planning, regular deal reviews, and knowledge sharing focused on enterprise customers across regulated and large-scale environments.
The base salary range for this role’s listed level is currently for residents of the United States only. This range is intended to reflect the role's base salary rate in locations throughout the US. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location. The base salary range does not include any bonuses, equity, or benefits. See more information on our
benefits
and
equity
. Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary.
United States Salary Range
$124,000
—
$186,600 USD
How GitLab Supports Full-Time Employees
Benefits to support your health, finances, and well-being
Flexible Paid Time Off
Team Member Resource Groups
Equity Compensation & Employee Stock Purchase Plan
Growth and Development Fund
Parental Leave
Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from
underrepresented groups
are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application.
Country Hiring Guidelines:
GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process.
Privacy Policy:
Please review our
Recruitment Privacy Policy.
Your privacy is important to us.
GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also
GitLab’s EEO Policy
and
EEO is the Law
. If you have a disability or special need that requires
accommodation
, please let us know during the
recruiting process
.
Location: London
Workplace: Hybrid
About Niantic Spatial
AI has learned from almost everything online, but it still struggles with the physical world, where 99.5% of economic activity happens. It doesn’t know where things are, how spaces fit together, or what changes over time.
That’s one of the biggest unsolved problems in AI, and it’s the one we’re solving at Niantic Spatial. We build spatial AI models and services so people and machines can reason, learn and act safely in the physical world. We turn camera imagery, video, sensor data and archives into accurate, AI-readable representations of real places that robots can train in and machines can use to know exactly where they are.
In physical AI, mistakes have real consequences. That’s why we build AI grounded in measured reality, not guesswork, so the people and machines relying on it can trust it to get things right.
Our team built some of the world’s most widely used maps. Now we’re building something bigger: a living, measured record of the real world that machines can query, learn from and use to understand how places change over time. If you want to help AI understand the world we actually live in, come build with us.
About the Role
Niantic Spatial makes the physical world computable, helping people and machines collaborate safely by aligning how they understand reality. One of the fundamental problems we're helping autonomy teams and engineers overcome is the sim-to-real gap for visual-spatial understanding. We're applying our team's decades of experience encoding the world precisely as it is at Google Maps, Google Earth, and Niantic Labs to build the scalable real-to-sim stack for embodied AI.
Niantic Spatial's R&D Team in London is seeking a Research Scientist to push the frontiers of Spatial AI, advancing our Large Geospatial Model as a dedicated member of the Embodied AI group. You will invent and develop algorithms and systems that sit at the cross-section of computer vision, machine learning, AI, graphics, and robotics.
We're passionate about discovery, so we're looking for scientists who want to learn, publish, teach, and deploy every new invention.
What You'll Do
- Develop New Spatial Representations - Develop new spatial representations that embodied AI can learn from, train in, and act on.
- Advance Real-to-Sim Pipelines - Advance real-to-sim pipelines connecting real-world observations, 3D reconstruction, simulation, and robotic policy learning.
- Solve Emerging Spatial Problems - Solve emerging problems that relate to spatial intelligence, 3D scene representation, training data, model efficiency, and interactive systems.
- Take Capabilities Through to Evidence - Take new capabilities through to evidence: what changed for the policy, not only what changed in the reconstruction.
- Build Prototypes - Build proof of concept prototypes, initially for internal use, where some will need to run at production scale on customer data.
- Collaborate Across Research and Product - Collaborate closely with researchers, engineers, and product partners to bring novel models to production.
- Publish Your Work - Publish and present your work.
What You'll Bring
- A PhD in computer vision, robotics, graphics, machine learning, or a related field, or equivalent research experience, with a publication record at top venues.
- Substantial expertise in robotics or embodied AI, including experience in sim-to-real transfer, domain randomization, policy evaluation, and simulation-based learning.
- Deep experience with 3D scene representations: Gaussian splatting, neural fields, meshes, point clouds, or implicit representations.
- You have applied generative or diffusion models to 3D data, such as scene completion, inpainting, relighting, or novel view synthesis from sparse capture.
- You have worked on 3D semantics, open-vocabulary scene understanding, or scene graphs.
- Proficiency in Python and Deep Learning libraries such as PyTorch.
- GPU or graphics programming experience, such as custom CUDA kernels, shaders, or differentiable rendering.
- A track record of contributing to widely used open-source research codebases.
Nice to Have
- Proficiency in C++.
Compensation & Benefits
Base salary range of £103,500 to £202,500. Compensation also includes an annual bonus, equity, and a comprehensive benefits package.
Location & Work Model
This role is based in our London office, with three days per week in office.
Inclusive Application
We know the strongest candidates don't always tick every box. If you're excited about this role and believe you could do it well, we encourage you to apply even if your experience doesn't match every qualification listed - you may be exactly who we're looking for.
Equal Opportunity
Niantic Spatial is an equal opportunity employer. Individuals seeking employment at Niantic Spatial are considered without regard to race, color, ancestry, national origin, religion, creed, age, gender (including pregnancy, childbirth, breastfeeding or related medical conditions), marital status, physical or mental disability, medical condition, genetic information, military or veteran status, gender identity, gender expression, sexual orientation, or any other protected category under applicable laws. Niantic Spatial will also consider qualified applicants with criminal histories in accordance with applicable laws. Please contact your recruiter if you want to request an accommodation for the job application or interview process.
Candidate Privacy
I understand that by submitting my job application, the information I provide as part of that application will be used in accordance with Niantic Spatial's Privacy Notice for Job Applicants and Candidates https://www.nianticspatial.com/applicant-privacy-notice.
Location: Remote, Canada; Remote, United States
GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster.
The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems.
Co-create the future with us
as we build technology that transforms how the world develops software.
*
Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab.
About the role
Customer Experience Operations is building out the foundation needed to grow and support Professional Services at GitLab. We are looking for a Staff Professional Services Operations Lead to establish scalable operations across PS, supporting planning and resource management, operational tooling and cadences, delivery operations, financial performance, systems partnership, and go-to-market alignment.
Reporting to the Director of Customer Experience Operations, you will be a strategic and hands-on partner to PS leadership. You will help move the organization from manual, disjointed processes to connected, reliable, and increasingly automated ways of working. Your work will give leaders better visibility into pipeline, capacity, staffing, delivery economics, and growth and will ensure our teams have what they need to successfully deliver.
What you’ll do
Mature the PS operating cadence, including forecasting & planning alignment, business reviews, performance reporting, and executive readouts.
Establish connected capacity, utilization, and resource management practices across billable and non-billable roles, including skill-based staffing and hiring planning.
Improve visibility and deliver insights into project economics, including rate cards, fully loaded costs, burden rates, project margin, fixed-fee budgets, utilization, and revenue recognition.
Partner with Finance, Sales, Customer Success, CX Engineering, Solutions Architecture, and Delivery to improve PSA, time-tracking, CRM, reporting, and related tooling.
Define requirements and lead process improvements, automations, and efficiency drivers across Professional Services, Operations, and newly integrated services teams.
Improve go-to-market alignment by tracking PS attach, connecting PS planning to account and renewal timelines, and enabling earlier PS involvement in deal strategy and account planning.
Partner cross functionally to deliver improvements in service catalog, pricing and packaging, SKU governance, and partner or channel delivery models.
Document processes, clarify roles and decision rights, and partner with Analytics to build self-service reporting that reduces dependencies of PS leadership for day-to-day execution.
What you’ll bring
10+ years’ experience in Professional Services Operations, Services Operations, Revenue Operations, or a related function in a technology or subscription business.
Deep understanding of PS business models, including time and materials, fixed-fee, and blended engagements.
Experience owning and developing forecasting and planning processes that connect sales pipeline to delivery capacity, staffing, bookings, and revenue.
Experience with resource management, utilization, project margin, delivery operations, PSA systems, or services go-to-market operations.
Experience leading process and systems improvements across evolving organizations.
Strong analytical, business judgment, communication, and stakeholder management skills.
A pragmatic, hands-on approach to solving ambiguous operational problems.
Hands-on experience with Kantata or a comparable Professional Services Automation (PSA) platform.
Ability to translate business requirements into system workflows, data definitions, reporting requirements, and automation opportunities.
Deep familiarity with revenue recognition processes and the systems partnership required between Professional Services and Finance.
Nice to have
Experience integrating two or more services organizations, operating models, or systems or driving operations transformation and maturity.
Experience improving PS attach, deal structuring, account planning, or services participation in the sales cycle.
Experience with partner, channel, or customer-funded delivery models.
Experience working in a distributed or all-remote organization.
The base salary range for this role’s listed level is currently for residents of the United States only. This range is intended to reflect the role's base salary rate in locations throughout the US. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location. The base salary range does not include any bonuses, equity, or benefits. See more information on our
benefits
and
equity
. Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary.
United States Salary Range
$139,200
—
$235,200 USD
How GitLab Supports Full-Time Employees
Benefits to support your health, finances, and well-being
Flexible Paid Time Off
Team Member Resource Groups
Equity Compensation & Employee Stock Purchase Plan
Growth and Development Fund
Parental Leave
Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from
underrepresented groups
are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application.
Country Hiring Guidelines:
GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process.
Privacy Policy:
Please review our
Recruitment Privacy Policy.
Your privacy is important to us.
GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also
GitLab’s EEO Policy
and
EEO is the Law
. If you have a disability or special need that requires
accommodation
, please let us know during the
recruiting process
.
Location: United States & Canada
Workplace: Remote
About WorkOS 🚀
WorkOS builds modern developer tools and APIs that make it easy for companies to become Enterprise Ready. Our platform powers authentication, identity, authorization, and other critical infrastructure that developers need to securely scale their products to large organizations.
We recently raised a $100M Series C, valuing the company at $2B, led by Meritech and Sapphire with participation from Greenoaks, Craft, Abstract, and Audacious. WorkOS powers enterprise features for many of the fastest-growing AI companies, including OpenAI, Cursor, and Perplexity, Sierra, and Plaid.
As AI reshapes software, WorkOS is at the frontier of Human and Agent Authentication, Identity, and Access Control helping companies answer a new critical question: who are your agents, and what are they allowed to do? Our fast-growing customer base includes hundreds of modern software companies building the next generation of enterprise-ready products.
ABOUT THE SECURITY PLATFORM TEAM
The Infrastructure Security team provides and supports the primitives that enable engineering to securely build applications and meet compliance obligations, while abstracting away the underlying complexity for the best possible developer experience.
Our work centers on workload identity and authorization: how internal applications authenticate to each other and to the services they depend on, and how that access is granted and enforced. We're replacing static secrets with short-lived identity credentials, bringing identity-based authentication to the services engineers use every day, and unifying how authorization is managed across the company.
We're a platform engineering team with a security mission. We measure success by the security outcomes we enable and by how much engineers enjoy building on what we ship — the secure path should be the easiest path.
WHO WE'RE LOOKING FOR
- A platform builder. You love building infrastructure that other engineers rely on every day, and you sweat the developer experience details that make adoption effortless.
- Fluent in service-to-service auth. You know authentication and authorization deeply: JWTs, X.509 certificates, and when to reach for each.
- A systems thinker. You reason carefully about bootstrapping, circular dependencies, availability, and failure modes, especially for infrastructure that everything else depends on.
- A pragmatic migrator. You know that shipping the primitive is half the job. You can drive adoption across many teams, meet them where they are, and retire the legacy path.
- A strong partner to engineering. You build trust with engineers by understanding their priorities and making security frictionless.
- Excited about AI. You're embracing AI and automation to scale platform work and reduce toil.
- Curious and humble. You ask the basic questions, enjoy untangling complex systems, and bring others along with you.
RESPONSIBILITIES
- Build workload identity infrastructure. Make short-lived identity credentials a default part of every application's runtime environment, in partnership with application platform owners.
- Bring identity-based authentication to internal services. Work with the owners of major internal dependencies to support identity certificates, make them the golden path for newly onboarding applications, and drive migration of existing ones.
- Eliminate static secrets. Replace all static passwords and service tokens with short-lived identity credentials, and build identity-authenticated egress proxies and API abstractions that inject and automatically rotate managed secrets for the external dependencies that still require them.
- Unify authorization. Build a single interface and framework through which authorization policies are centrally managed and enforced.
QUALIFICATIONS
- 5+ years of experience in software engineering, with a focus on security-related platform, infrastructure, or distributed systems.
- Strong working knowledge of secrets management, fine-grained authorization, and workload identity systems.
- Familiarity with the Kubernetes ecosystem and authentication/authorization technologies such as JWTs, X.509 certificates, PKI, cert-manager, SPIFFE/SPIRE, and OPA.
- Experience building and operating production infrastructure that other teams depend on, with attention to availability and failure modes.
- Proven ability to drive cross-team adoption of platform capabilities or lead large-scale migrations.
Benefits and Perks (US Only) 💖
At WorkOS, we offer resources that emphasize personal and familial well-being. We offer healthcare coverage for you and your family, including medical, dental, and vision. We offer parental leave, paid-time off and fully remote working arrangements.
- 401k matching
- Competitive Equity
- Healthcare, dental and vision coverage
- FSA, ST/LT Disability, Voluntary Life
- Carrot fertility benefits
- 20 days paid vacation + 10 holidays + unlimited sick leave
- 12 weeks fully paid parental leave
- Fitness: Monthly stipend for gyms, yoga classes, race registrations or whatever keeps you active
- Wellness: Monthly stipend for a massage, meditations class, therapy, or activities that enhance your well-being
- Commuter benefits for hybrid employees in SF/NYC
- Unlimited token usage!
Please inquire directly with our recruiting team for benefits available to those working outside the US.
Equal Opportunity Employer
WorkOS is an equal opportunity employer, committed to diversity and inclusiveness. We will consider all qualified applicants without regard to race, color, nationality, gender, gender identity or expression, sexual orientation, religion, disability or age.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Location: United States & Canada
Workplace: Remote
About WorkOS 🚀
WorkOS builds modern developer tools and APIs that make it easy for companies to become Enterprise Ready. Our platform powers authentication, identity, authorization, and other critical infrastructure that developers need to securely scale their products to large organizations.
We recently raised a $100M Series C, valuing the company at $2B, led by Meritech and Sapphire with participation from Greenoaks, Craft, Abstract, and Audacious. WorkOS powers enterprise features for many of the fastest-growing AI companies, including OpenAI, Cursor, and Perplexity, Sierra, and Plaid.
As AI reshapes software, WorkOS is at the frontier of Human and Agent Authentication, Identity, and Access Control helping companies answer a new critical question: who are your agents, and what are they allowed to do? Our fast-growing customer base includes hundreds of modern software companies building the next generation of enterprise-ready products.
About the Security team
The Security team at WorkOS is responsible for keeping the data and identities of hundreds of millions of users secure. Security is fundamental to our products, and customer trust is the foundation of our success.
We are a highly collaborative group with a strong engineering mindset. Our security program is shaped by hands-on experience attacking and defending systems, and applying lessons from across the industry. We embrace the latest advancements in practices and tooling that make modern security teams effective.
We are comfortable in code and collaborate often with engineering to create products that are secure by default.
Who we’re looking for
- Risk-focused and pragmatic. You excel at identifying and reasoning about security risk in real-world contexts. You prioritize ruthlessly, always asking: what's the most effective way to reduce risk right now and in the long term?
- A builder who can break things. You're comfortable reading and writing code, and you have a passion for deeply understanding the products you secure. You think like an attacker to find subtle, high impact vulnerabilities and like a defender to design pragmatic, effective mitigations.
- A strong partner to engineering. You build trust with engineers by understanding their priorities, making security frictionless, and finding ways to make the secure path, the easiest path.
- Excited about AI. You're embracing AI and automation to scale security and reduce toil.
- Curious and humble. You ask the basic questions, enjoy untangling complex systems, and bring others along with you.
Responsibilities
- Lead secure design efforts. Partner with engineering teams on secure design and code reviews. Identify and prioritize risks early in the product lifecycle.
- Build secure by default systems. Develop paved paths that systemically reduce risk and make secure development the easiest path for engineers.
- Perform offensive security testing. Conduct penetration tests and code audits on new and existing products from an adversarial lens.
- Improve our security tooling. Integrate and improve our static analysis, supply chain security, and vulnerability management capabilities across engineering pipelines.
- Operate our responsible disclosure program. Run and improve our program by furthering automation, validating submissions, and coordinating remediation.
- Improve our products. Write and ship code to remediate vulnerabilities in production systems and improve the security posture of WorkOS products.
- Work directly with customers. Help build our customers' trust by directly engaging with their security-related questions and concerns.
Qualifications
- 5+ years of experience in a security engineering or security-focused software engineering role.
- Ability to execute across a wide range of security functions such as security assessments, penetration testing, responsible disclosure, security tooling integration, etc.
- Familiarity with and experience using common industry tooling.
- Proven ability to identify vulnerabilities in software, demonstrated through CVEs, bug bounty, blog posts, or prior work experience.
- Strong written and verbal communication skills, particularly in partnering with engineering teams.
- Comfortable reading and writing code, and able to effectively leverage AI during the process.
- Bonus: Experience in the authentication and identity domain.
- Bonus: Experience writing production level code, especially developing security features.
Benefits and Perks (US Only) 💖
At WorkOS, we offer resources that emphasize personal and familial well-being. We offer healthcare coverage for you and your family, including medical, dental, and vision. We offer parental leave, paid-time off and fully remote working arrangements.
- 401k matching
- Competitive Equity
- Healthcare, dental and vision coverage
- FSA, ST/LT Disability, Voluntary Life
- Carrot fertility benefits
- 20 days paid vacation + 10 holidays + unlimited sick leave
- 12 weeks fully paid parental leave
- Fitness: Monthly stipend for gyms, yoga classes, race registrations or whatever keeps you active
- Wellness: Monthly stipend for a massage, meditations class, therapy, or activities that enhance your well-being
- Commuter benefits for hybrid employees in SF/NYC
- Unlimited token usage!
Please inquire directly with our recruiting team for benefits available to those working outside the US.
Equal Opportunity Employer
WorkOS is an equal opportunity employer, committed to diversity and inclusiveness. We will consider all qualified applicants without regard to race, color, nationality, gender, gender identity or expression, sexual orientation, religion, disability or age.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Location: San Francisco, CA; New York, NY
Workplace: OnSite
ABOUT US
Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia.
We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do.
Our co-founders are Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/. Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google’s AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace.
ABOUT THE TECH, MEDIA & TELECOM TEAM
- We work with some of the world's most influential and recognizable companies, from global telecommunications providers and leading media brands to technology platforms that power businesses worldwide.
- We build agents for the moments that matter, helping our customers rise to the occasion when service disruptions, major product launches, or global events like the World Cup https://www.linkedin.com/posts/claybavor_at-sierra-we-are-very-proud-to-have-partnered-activity-7491200203899760641-I27d?utm_source=share&utm_medium=member_desktop&rcm=ACoAABYjELMBZfjrg-wrv53M1tVXGe93FF3eTww drive millions of customer interactions.
- We bring Sierra’s Horizon https://sierra.ai/product/horizon vision to TMT by building agents that transform the entire customer relationship:
- Telecommunications: Turn one of the most frustrating customer experiences into one of the most personal, with agents that understand each subscriber, optimize their plan and savings, anticipate opportunities to add value, and earn their loyalty over time.
- Media: Turn every subscription into an ongoing, personalized relationship, with agents that help each subscriber get the most from their experience through the right content, offer, plan, and support from their free trial through retention.
- Technology: Bring the white-glove customer experience traditionally reserved for the largest enterprise accounts to every customer, helping them adopt the product, discover new ways to get value, expand their usage, and successfully renew.
WHAT YOU’LL DO
- Design and deliver production-grade AI agents https://sierra.ai/blog/meet-the-ai-agent-engineer: You'll build and ship highly performant, reliable, and intuitive AI agents that are central, mission-critical and drive revenue directly to Sierra's growth. These aren't prototypes—they are powerful, scalable systems running in production environments across industries like finance, healthcare, and commerce.
- Drive the Agent Development Life Cycle https://sierra.ai/blog/agent-development-life-cycle (ADLC): You'll have complete ownership and autonomy from initial pilot through deployment and continuous iteration. You'll be responsible for building, tuning, and evolving AI agents in production environments, defining the standard for ADLC best practices along the way.
- Partner with large enterprises and cutting-edge startups: You’ll work directly with leaders at some of the world’s largest enterprises to understand their most pressing business challenges, and build AI agents that transform how they operate at scale. You'll also partner with the most cutting-edge startups in Silicon Valley, embedding AI agents across their entire business stack to drive innovation and efficiency.
- Build the future of the platform: Your direct work with customers will guide the evolution of Sierra's core platform. You'll surface unmet needs, prototype new tools and features, and collaborate with research, product, and platform to shape the future of AI agent development and Sierra's product.
EXAMPLE PROJECTS
These are some examples of projects that engineers on our team have worked on recently:
- Create agents that pursue goals over weeks and months, reasoning about when to reach out, which channel to use, and what next action will move a customer relationship forward.
- Develop personalization and experimentation systems powered by Sierra's Context Engine https://sierra.ai/blog/context-engine that combine customer data, behavior, prior conversations, and real-time context to determine the right offer or experience, then learn from every interaction and experiment to autonomously improve personalization over time.
- Design conversational discovery agents that reason across huge content catalogs and rich subscriber context, using interests, history, entitlements, and the moment at hand to help someone quickly find something they'll actually want to watch, read, or listen to.
- Build agents that troubleshoot deeply integrated telecommunications and connected-device experiences, reasoning across account, billing, network, and device systems to diagnose issues and take the actions needed to resolve them.
- Experiment with new voice experiences and Voice Personas https://sierra.ai/blog/introducing-voice-personas tailored to each brand, customer, and moment, bringing the right empathy, energy, and conversational style to everything from navigating a frustrating telecom billing issue to helping someone discover their next favorite show or find the plan that's right for them.
WHAT YOU'LL BRING
- Experience building and scaling end-to-end production systems.
- Strong technical problem-solving skills, especially in fast-changing, ambiguous environments.
- A builder and tinkerer's mindset with high agency - you find creative ways to overcome obstacles and ship.
- Comfort working directly with customers to understand their needs and solve real-world problems.
- Excellent communication skills—clear, direct, and persuasive across technical and non-technical audiences.
- Excitement in the Tech, Media & Telecom space and a care for helping some of the world’s top brands continue to build brand loyalty with their customers.
EVEN BETTER...
- Experience building or deploying AI/LLM systems in production
- Have been a founder or founding engineer - you know what it means to balance craft, ownership, and speed
- Familiarity with tools that power today's AI agents: eval frameworks, agent tooling, RAG pipelines, and prompt engineering
- Prior experience with React, TypeScript, and/or Go
- Previous roles where you interfaced with customers or led technical projects with external stakeholders
OUR VALUES
- Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work.
- Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it.
- Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve.
- Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time.
- Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements.
WHAT WE OFFER
We want our benefits to reflect our values and offer the following to full-time employees:
- Flexible (unlimited) paid time off
- Medical, dental, and vision benefits for you and your family
- Life insurance and disability benefits
- Retirement plan dependent on country of employment
- Parental leave
- Fertility and family building benefits through Carrot
- Lunch, as well as delicious snacks and coffee to keep you energized
- Discretionary benefit stipend giving people the ability to spend where it matters most
- Free alphorn lessons
These benefits are further detailed in Sierra's policies, may vary by region, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies.
BE YOU, WITH US
We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply even if your experience doesn't precisely match the job description. We strive to evaluate all applicants consistently without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.
Location: San Francisco, CA; New York, NY; Atlanta, GA
Workplace: OnSite
ABOUT US
Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia.
We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do.
Our co-founders are Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/. Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google’s AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace.
ABOUT THE TRAVEL, TRANSPORTATION AND HOSPITALITY TEAM
- The Travel, Transportation and Hospitality (TTH) supports some of the largest airlines, hotel chains, rental car brands, cruise lines and travel tech companies in the world. Our customers are frontiers in the travel space, and are true thought partners in shaping our platform, helping reinvent what hospitality looks like in this new era. Our customers rely on us to not only deliver standout customer experiences, driving stronger growth in their business.
- Our TTH team is constantly pushing the bounds of what is possible within this industry and beyond. We help support our customers in the moments that matter — whether that’s proactively encouraging new bookings to prepare for exciting events, or helping guests rebook their flights or stays during times of distress. We help our customers maximize the lifetime value of their guests and build products to delight guests at every touchpoint.
- We’re a small and scrappy team, and we support each other with any deliverables we have to meet. Every engineer on TTH is also a product-led thinker; every PM on TTH is tinkering and developing tangible prototypes; and every strategist on TTH is capable of owning an agent end to end. As a part of this team, you’ll set the standard on what it means to go beyond your role, and help build the travel industry of the future.
WHAT YOU’LL DO
- Design and deliver production-grade AI agents https://sierra.ai/blog/meet-the-ai-agent-engineer: You'll build and ship highly performant, reliable, and intuitive AI agents that are central, mission-critical and drive revenue directly to Sierra's growth. These aren't prototypes—they are powerful, scalable systems running in production environments across industries like finance, healthcare, and commerce.
- Drive the Agent Development Life Cycle https://sierra.ai/blog/agent-development-life-cycle (ADLC): You'll have complete ownership and autonomy from initial pilot through deployment and continuous iteration. You'll be responsible for building, tuning, and evolving AI agents in production environments, defining the standard for ADLC best practices along the way.
- Partner with large enterprises and cutting-edge startups: You’ll work directly with leaders at some of the world’s largest enterprises to understand their most pressing business challenges, and build AI agents that transform how they operate at scale. You'll also partner with the most cutting-edge startups in Silicon Valley, embedding AI agents across their entire business stack to drive innovation and efficiency.
- Build the future of the platform: Your direct work with customers will guide the evolution of Sierra's core platform. You'll surface unmet needs, prototype new tools and features, and collaborate with research, product, and platform to shape the future of AI agent development and Sierra's product.
EXAMPLE PROJECTS
These are some examples of projects that engineers on our team have worked on recently:
- Building innovative multimodal experiences: Spearhead cross-cutting initiatives, partnering with the voice and Experience SDK teams to bring to life embedded voice mode in mobile apps. This brand new product allows users to talk, tap and text with our agents all in a single view — unlocking communication through rich visualizations, and accuracy in input collection with chat, with the ease and efficiency of voice.
- Shipping complex booking experiences: Build personalized booking flows, including leveraging Google Maps APIs to support searching for properties via an embedded map view, developing a recommendation engine based on past reservations and orchestrating seamless payment collection to complete the full booking lifecycle.
- Abstracting complex systems into packages: Modernize legacy reservations systems by creating Sierra packages that optimize querying and updating trips for customers across the board. You’ll be challenged to think deeply about how to orchestrate each step of these workflows to maximize efficiency while upholding reliability and accuracy.
- Improving the capabilities of our built in integrations: Expand platform extensibility by introducing new capabilities to our existing integrations. An example is extending our MCP integrations to support MCP UI, which allows customers to dynamically host their custom UI resources on our embedded chat windows.
WHAT YOU'LL BRING
- Experience building and scaling end-to-end production systems.
- Strong technical problem-solving skills, especially in fast-changing, ambiguous environments.
- A builder and tinkerer's mindset with high agency - you find creative ways to overcome obstacles and ship.
- Comfort working directly with customers to understand their needs and solve real-world problems.
- Excellent communication skills—clear, direct, and persuasive across technical and non-technical audiences.
- Excitement in the travel space and a genuine care for helping improve the guest experience as a whole. Our customers care deeply about their guests, and we carry that through what we build every day.
EVEN BETTER...
- Language Fluency: Professional fluency in both Spanish and English.
- Experience building or deploying AI/LLM systems in production
- Have been a founder or founding engineer - you know what it means to balance craft, ownership, and speed
- Familiarity with tools that power today's AI agents: eval frameworks, agent tooling, RAG pipelines, and prompt engineering
- Prior experience with React, TypeScript, and/or Go
- Previous roles where you interfaced with customers or led technical projects with external stakeholders
OUR VALUES
- Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work.
- Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it.
- Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve.
- Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time.
- Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements.
WHAT WE OFFER
We want our benefits to reflect our values and offer the following to full-time employees:
- Flexible (unlimited) paid time off
- Medical, dental, and vision benefits for you and your family
- Life insurance and disability benefits
- Retirement plan dependent on country of employment
- Parental leave
- Fertility and family building benefits through Carrot
- Lunch, as well as delicious snacks and coffee to keep you energized
- Discretionary benefit stipend giving people the ability to spend where it matters most
- Free alphorn lessons
These benefits are further detailed in Sierra's policies, may vary by region, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies.
BE YOU, WITH US
We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply even if your experience doesn't precisely match the job description. We strive to evaluate all applicants consistently without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.
ГибридseniorSan Francisco, CA
УдалённоRemote; Seattle, WA; London; New York, NY; San Francisco, CA; Lastly, the provided range is the expected salary for candidates in the U.S
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УдалённоseniorRemote, Canada; Remote, United States; and Canadian time zones; The base salary range for this role’s listed level is currently for residents of the United States only
Ireland, Dublin
География найма не уточнена
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УдалённоMexico City
УдалённоRemote, United States; The base salary range for this role’s listed level is currently for residents of the United States only
ГибридLondon
УдалённоRemote, Canada; Remote, United States; The base salary range for this role’s listed level is currently for residents of the United States only
