Location: San Francisco, CA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
The Corporate Network Engineering team owns Anthropic's corporate network: the wired, wireless, and edge infrastructure in our offices and research facilities around the world, and the standards, management systems, and telemetry that let a small team run them. We hold that network to the bar of a production service — designed for failure, managed as code, observable end-to-end, and secure by default — while delivering reliable connectivity to the people who depend on it every day.
You'll set the technical direction together with your engineers and own the final decision on it and on the architecture standards, review and guide designs and the hard trade-offs, and lead vendor and platform decisions. You'll lead and grow a small team of network engineers: set priorities, drive decisions to closure, hire, and develop people. The team is small and the scope is broad, so this role needs real depth in campus and edge networking, judgment about what to standardize, automate, buy, and build, and the range to go from a wiring-closet decision to a budget defense in the same afternoon.
You'll report to the head of IT Engineering and partner closely with our Buildouts, AV, and Endpoint teams; with Security Engineering on network security, authentication, and detections; with Physical Security, whose systems are critical for protecting Anthropic employees and depend on a reliable network; with Workplace, Real Estate, Procurement, and external logistics and integration partners on new site buildouts; and with our production networking teams, whose bar for reliability and automation is the one we hold ourselves to. Your work will directly shape how we scale to AI Safety Level 4 and beyond.
Responsibilities
Lead and grow the Corporate Network Engineering team — hiring, development, performance, planning, and prioritization
Set technical direction with the team and own the final call on architecture standards across edge, campus switching, wireless, segmentation, out-of-band management, and telemetry; review designs and risky changes, and step in on the hard problems
Own reliability and operations: monitoring people act on, incident response and post-incident reviews that produce changes, an on-call and escalation model a small team can sustain, change safety, and lifecycle currency
Move the fleet toward network-as-code: templated configuration with change control, staged rollouts, drift detection, and automation that removes operational toil
Partner with Security Engineering and Detection & Response on network authentication, segmentation, and the network as a detection source
Deliver networks for new offices and research facilities and upgrade existing sites through live migrations — with Buildouts, AV, Physical Security, Workplace, Real Estate, and our logistics partners — while keeping interruptions to employees minimal
Own vendor, carrier, and integrator relationships and the network hardware budget: evaluations, contracts, lead times, and multi-year refresh
You may be a good fit if you
Have 10+ years designing, building, and operating enterprise campus and edge networks, including at least one environment with dozens of sites across regions
Have 5+ years leading engineers, including at least 3 years as a people manager
Lead through technical judgment: whether or not you've been hands-on-keyboard lately, you can go from architecture to protocol behavior to failure modes with your engineers, and your reviews make their designs better
Default to the secure design, then do the creative work to make it painless for the people using it — and can walk an executive or an engineer through the trade-off and make a recommendation
Have run the operational side, not just designed it: out-of-band access, monitoring people act on, an on-call model a small team can sustain, and change safety
Are pragmatic about what to build, buy, or automate, have run vendor evaluations with real money at stake, and chase problems across organizational boundaries to the actual root cause
Communicate clearly with engineers, executives, contractors, and landlords, and can bring a room of senior engineers with strong opinions to a decision they'll commit to
Want real technical ownership with a small team — including if you've led a larger organization before — and care about building infrastructure for an organization trying to get AI right
Strong candidates may also
Have led corporate networking at a company that added offices faster than it added network engineers
Have implemented certificate-based network authentication (802.1X/EAP-TLS or equivalent) and identity- or device-based segmentation at scale
Have shipped network configuration as code and built telemetry pipelines that security and support teams actually use
Have designed dense wireless for large event spaces and high-occupancy floors
Have been through multiple office builds with real estate and construction teams — including networks that physical security systems depend on — and know what to ask for before the walls close
Have managed integrators, MSPs, or smart-hands providers as an extension of a small team while keeping design authority in-house
Technical Skills
We're looking for deep, hands-on experience in each of these — not surface familiarity:
Enterprise edge: firewalls and routing (HA design, routing protocols, policy management across a fleet)
Campus switching and high-density enterprise wireless (L2/L3 design, redundancy, RF design, 6 GHz, high-density venues)
Segmentation and access control (certificate-based 802.1X, dynamic segmentation, guest and IoT isolation)
Out-of-band management and secure, auditable administrative access
Network automation and configuration as code (Python, templating, vendor APIs, source control, CI)
Network observability (streaming telemetry, flow and log pipelines)
Physical infrastructure for buildouts (MDF/IDF design, structured cabling, power and cooling, carrier and path diversity)
Deadline to apply: None. Applications will be received on a rolling basis.
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$285,000
—
$325,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: New York City, NY
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
Claude serves millions of individual users alongside enterprise clients. Safeguards Engineering develops the foundational infrastructure that ensures its safe use: robust access controls, active abuse detection, real-time probes and classifiers within the inference pipeline, offline monitoring for review, and the underlying systems powering it all. Operating at scale and velocity, we continuously adapt to technology whose capabilities and risks evolve weekly.
The Safeguards Data team owns the data lifecycle for Safeguards—routing user data and safety metadata from online systems into offline storage and enabling access for downstream teams. Our goal is to provide privacy-safe access to sensitive data for approved uses while ensuring performance, reliability, and minimal blast radius. We prioritize security by design, embedding controls directly into systems operating across AWS, GCP, Azure, and customer-managed environments.
This is a systems engineering position within a small, newly established team. Rather than managing an existing backlog, you will have the autonomy to own a problem domain, establish its technical vision, and shape the team's trajectory.
Key responsibilities
Design, build, and operate the stores, pipelines, schemas, and APIs that Safeguards' detection, evaluation, investigation, and review systems read from.
Build privacy-safe interfaces that allow ML training, evaluation, and investigation workflows to utilize sensitive data without requiring broad access to raw records, ensuring access is tied to purpose and built-in lineage.
Scale the distributed storage, ingestion, and processing systems operated by Safeguards, maintaining cost efficiency, reliability, and portability across deployment environments.
Collaborate with investigators, researchers, legal, privacy, and security teams to translate operational requirements into functional mechanisms and systems for safe data utilization.
Uphold a high operational bar by participating in the on-call rotation, leading incident reviews, and continuously reducing manual operational overhead.
Lead through technical design by authoring foundational proposals and conducting cross-team architectural reviews.
Minimum qualifications
Have strong systems fundamentals (processes, threads, RPC, storage, and how systems fail) and have built and operated large-scale, fault-tolerant distributed systems
Have built and operated systems that handle sensitive or high-value data, with access, privacy, retention and security controls designed in from the start
Have a track record of building platforms or internal tooling that other teams widely adopt
Have led the technical design of projects that span several engineers or teams
Learn quickly and adapt: you're comfortable with ambiguity, a fast pace, and systems or languages you haven't used before
Care about the impact of your work and about making AI safe, use good judgment about what matters most, and can explain technical trade-offs to non-technical partners
Preferred qualifications
Proficiency in one or more systems languages (e.g., C, C++, Rust, Go)
8+ years of experience as a software engineer, and a Bachelor's degree in Computer Science, Software Engineering or comparable professional experience
Experience building data infrastructure for ML: training datasets, offline batch inference or evaluation
Experience with data governance requirements in a regulated or high-sensitivity domain
Fluency with agentic coding tools such as Claude Code
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$320,000
—
$485,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Dallas, Texas
Who We Are:
Galaxy Digital Inc. (Nasdaq: GLXY) is a global leader in digital assets and data center infrastructure, growing the economy that runs on code. Galaxy delivers the onchain infrastructure that connects institutions to digital assets, including trading, advisory, asset management, staking, self-custody, and tokenization. Galaxy also develops and operates data center infrastructure to power AI and HPC workloads. Anchored by its Helios campus in Texas, Galaxy is building a multi-gigawatt pipeline of more than 5.7 GW of potential capacity, positioning it among the largest and fastest-growing data center developers in North America.
The Company is headquartered in New York City, with offices across North America, Europe, the Middle East, and Asia.
Additional information about Galaxy's businesses and products is available on
www.galaxy.com
.
What We Value:
We are a diverse team of free thinkers, and fast movers united to help investors and creators energize the global economy. We are looking for individuals who thrive in a culture of builders and overachievers and embrace high performance, transparent feedback, and a mission-first approach. Our culture shapes our way of working and gets us where we want to be.
Seek Excellence.
Be Selective To Be Effective.
Be Highly Aligned, Loosely Coupled.
Disagree Transparently.
Encourage Independent Decision-Making.
Build Dream Teams.
Who You Are:
The Senior Mechanical Engineer, Data Center Operations Engineering & Reliability provides full-lifecycle mechanical engineering support across the data center portfolio, from site design and construction through commissioning, turnover,
and enduring operations.
This role serves as an operations-focused technical owner for mechanical infrastructure, ensuring systems are designed, built, commissioned, maintained, and operated in a way that protects uptime, preserves design intent, supports redundancy models, and improves long-term asset reliability.
The role partners with site operations, design and construction, commissioning, controls/BMS, vendors, OEMs, finance, and enterprise reliability leadership to translate design decisions and construction outcomes into safe, maintainable, and reliable operations.
What You’ll Do:
This position supports the enterprise reliability strategy, maintenance governance, asset lifecycle planning, engineering standards, RCA discipline, technical escalation model, commissioning lessons learned, and continuous improvement objectives owned by the VP, Operational Reliability & Engineering.
Key Responsibilities
1. Site Design and Pre-Construction Support
Provide mechanical engineering input during site selection, concept design, schematic design, design development, and construction document reviews.
Review mechanical design packages for operational readiness, maintainability, service access, system redundancy, capacity, resiliency, and preservation of design intent.
Evaluate mechanical system designs, including chilled water systems, air-cooled and water-cooled chillers, pumps, cooling towers, CRAH/CRAC units, heat exchangers, economizers, valves, piping, filtration, humidification, water treatment systems, and supporting infrastructure.
Identify design risks that could create future operational issues, single points of failure, maintenance access constraints, reliability gaps, or lifecycle cost exposure.
Participate in constructability reviews, value engineering discussions, submittal reviews, RFI resolution, equipment selection reviews, and design standard updates.
Partner with design and construction teams to ensure mechanical systems align with enterprise standards, OEM requirements, warranty protections, and long-term operating expectations.
2. Construction, Commissioning, Turnover, and Operational Readiness
Support construction-phase technical reviews to ensure installed mechanical systems remain aligned with approved design intent, redundancy models, sequence requirements, and operating requirements.
Review and provide input on commissioning plans, functional performance tests, integrated systems tests, failure-mode tests, and sequence-of-operations validation.
Validate that mechanical alarms, controls sequences, set points, trends, and BMS visibility support safe and reliable operations.
Ensure turnover packages include complete O&M manuals, as-built drawings, asset data, warranty information, spare parts requirements, PM tasks, training materials, and vendor service requirements.
Confirm site operations teams are prepared to operate, maintain, and troubleshoot mechanical systems before handoff to enduring operations.
Capture construction and commissioning lessons learned and incorporate them into standards, operating procedures, maintenance programs, and future designs.
3. Enduring Operations and Reliability Engineering
Serve as a mechanical technical escalation point for site operations during incidents, abnormal operating conditions, environmental excursions, equipment failures, and reliability concerns.
Analyze mechanical system performance trends, including temperature, humidity, flow, pressure, valve position, pump performance, chiller efficiency, economizer operation, and controls stability.
Lead or support root cause analysis for mechanical incidents, near misses, recurring alarms, capacity constraints, and equipment failures.
Develop corrective and preventive actions that eliminate repeat failure modes and reduce operational risk.
Partner with controls/BMS teams to improve alarm rationalization, monitoring, trending, sequence performance, and operator visibility.
Provide engineering guidance for live-site maintenance activities, system isolations, change management reviews, MOPs, SOPs, EOPs, and risk assessments.
Own the mechanical sequence-of-operations documentation as a living artifact post-turnover, ensuring it stays current as systems, set points, and control strategies evolve during enduring operations.
4. Maintenance, Asset Lifecycle, and Risk Management
Define, review, and improve preventative maintenance standards for critical mechanical equipment across the operating portfolio.
Ensure maintenance practices align with OEM recommendations, warranty requirements, contractual uptime commitments, and site-specific operating conditions.
Support reliability-centered maintenance and predictive maintenance programs where appropriate, using asset condition, failure history, service records, and operating data.
Develop mechanical asset criticality frameworks to prioritize inspection, maintenance, testing, spare parts, capital replacement, and engineering oversight.
Partner with finance, operations, and reliability leadership to support long-term capital replacement forecasts tied to equipment degradation, age, risk, and lifecycle cost.
Review vendor service quality, maintenance documentation, corrective maintenance effectiveness, and spare parts strategies for critical mechanical systems.
Own the water treatment and chemistry monitoring program for chilled water and condenser water systems, including chemistry limits, treatment equipment performance, ongoing monitoring cadence, and coordination with water treatment vendors to protect system integrity and heat transfer efficiency.
5. Standards, Governance, and Continuous Improvement
Develop and maintain mechanical engineering standards, operating playbooks, troubleshooting guides, technical bulletins, and review frameworks for the operations organization.
Support management of change processes to ensure mechanical modifications are reviewed for reliability, redundancy impact, maintainability, documentation, training, and operational readiness.
Translate site-level incidents, near misses, asset performance issues, and commissioning findings into portfolio-wide improvements.
Help establish engineering competencies, technical training content, and qualification expectations for mechanical operations support.
Reduce single points of technical dependency by documenting knowledge, coaching site teams, and strengthening internal engineering capability.
Promote disciplined risk evaluation, technical documentation, and cross-functional decision-making across design, construction, commissioning, and operations.
What We’re Looking For:
Required Qualifications
Bachelor's degree in Mechanical Engineering or a closely related technical discipline.
8-10 years of progressive mechanical engineering experience, with at least 5 years supporting data centers, mission-critical facilities, central plants, industrial facilities, or other 24x7 high-availability environments.
Demonstrated experience supporting mechanical infrastructure across design review, construction support, commissioning, turnover, maintenance, troubleshooting, and enduring operations.
Strong working knowledge of data center or mission-critical mechanical systems, including cooling plants, air handling systems, pumps, heat rejection equipment, piping, valves, controls, and redundancy configurations.
Experience reviewing mechanical drawings, equipment submittals, sequence-of-operations documents, commissioning scripts, test reports, O&M manuals, and maintenance documentation.
Ability to troubleshoot complex mechanical issues in live operational environments and make sound recommendations that balance uptime, safety, cost, schedule, and long-term reliability.
Experience with preventative maintenance, root cause analysis, corrective action planning, asset lifecycle management, and operational risk assessment.
Strong communication skills with the ability to explain technical issues clearly to site operations, leadership, vendors, design teams, construction teams, and commissioning partners.
Preferred Qualifications
10+ years of mechanical engineering experience in large-scale data center, mission-critical, or multi-site critical infrastructure environments.
Professional Engineer license or Engineer-in-Training certification.
Experience serving as a senior mechanical technical escalation point for live operational facilities.
Experience supporting new data center builds, major expansions, retrofits, integrated systems testing, and operational turnover.
Knowledge of Uptime Institute Tier concepts, ASHRAE guidance, OEM maintenance requirements, and data center availability expectations.
Experience with BMS platforms, mechanical controls troubleshooting, alarm strategy, trend analysis, and sequence optimization.
Familiarity with predictive maintenance technologies, thermal modeling, CFD, digital asset management, CMMS data quality, or reliability analytics.
Experience developing mechanical standards, SOPs, MOPs, EOPs, RCA templates, training materials, and engineering governance processes.
Key Competencies
Mission-critical mechanical engineering expertise.
Operational reliability mindset and strong risk recognition.
Ability to identify design, construction, commissioning, and operating issues before they become outages.
Practical understanding of how design and construction decisions impact long-term operations.
Strong troubleshooting, incident response, and root cause analysis capability.
Clear technical communication and cross-functional leadership.
Discipline around change management, documentation, governance, and lessons learned.
Ability to create scalable standards for a growing operating portfolio.
Success Measures
Improved mechanical system reliability and reduced repeat mechanical incidents.
Strong uptime performance across supported data center sites.
Successful transition of new sites from design and construction into stable operations.
Reduction in emergency corrective maintenance related to mechanical systems.
Improved mechanical asset health visibility and long-term capital replacement planning.
Standardized mechanical maintenance practices, technical documentation, and operating expectations across the portfolio.
Fewer design, commissioning, and turnover issues impacting operations.
Increased technical capability of site operations teams and reduced reliance on external consultants for core mechanical expertise.
Overall reduction in operational SLA violation risk due to operational support (programs/processes/tooling).
What We Offer (Dallas):
Competitive base salary and discretionary bonus
Flexible Time Off (i.e. unlimited paid vacation days)
Company paid Holidays (14)
Company paid sick leave
Company-paid health and protective benefits for employees, partners, and other dependents
3% 401(k) company contribution
Generous paid Parental Leave
Free virtual coaching and counseling sessions through Ginger
Free daily snacks in-office
Smart, entrepreneurial, and fun colleagues
Employee Resource Groups
*Benefits may vary depending on location.
Apply now and join us as we grow the economy that runs on code.
Galaxy respects diversity and seeks to provide equal employment opportunities to all employees and job applicants for employment without regard to actual or perceived age, race, color, creed, religion, sex or gender (including pregnancy, childbirth, lactation and related medical conditions), gender identity or gender expression (including transgender status), sexual orientation, marital or partnership or caregiver status, ancestry, national origin, citizenship status, disability, military or veteran status, protected medical condition as defined by applicable state or local law, genetic information or predisposing genetic characteristic, or other characteristic protected by applicable federal, state, or local laws and ordinances.
We will endeavor to make a reasonable accommodation to the known limitations of a qualified applicant with a disability unless the accommodation would impose an undue hardship on the operation of our business. If you believe you require such assistance to complete the application process or to participate in an interview, please contact
careers@galaxy.com.
Location: Home Based - Americas; Home Based - APAC; Home based - EMEA
With
more than 10 billion pulls
, Canonical's container images are trusted by developers worldwide to build and run software securely and at scale. That trust rests on our commitment to
hardened, production-ready
images.
We are advancing the state of the art with a
new generation of Ubuntu-based container images
we call "rocks": minimal images engineered for performance and usability and backed by long-term security commitments. As a member of the team, you will own the path from upstream source to published image, turning open source software into tested, signed, and continuously maintained artifacts that developers can deploy with confidence.
This is fast-paced, multi-disciplinary software engineering. Because most of the software we package originates from third-party upstreams, you will work across a broad range of container technologies and hundreds of open source projects, often in several programming languages, integrating and maintaining them so they are easy to consume on Ubuntu. Automation is central to the role: you will build the pipelines that package, build, test, and publish images at scale.
Your seniority in this role will reflect your software engineering experience and your ability to mentor and guide more junior colleagues.
Location:
This is a globally remote role
This role entails
Build and maintain a growing portfolio of high-quality, hardened container images
Design and operate automated CI/CD pipelines that build, test, scan, sign, publish, promote, and retire images across environments and architectures
Write tooling and tests to assess security compliance and cloud-native compatibility
Work closely with the community and partners to share container expertise and keep our portfolio current with new features, patches, and applications
Collaborate with our product security, platform, infrastructure, and customer-facing teams
Contribute technical input to the team's decision-making
Set the standard for quality, defining image standards that span security, compatibility, performance, size, and developer experience
Grow our knowledge base and write about the work we do
Work in a collaborative, agile, and globally distributed environment
Mentor colleagues and contribute to hiring
Work from home with global travel of up to 15% for internal and external events
What we are looking for in you
Proficiency in Bash and Python
Experience working with CI/CD systems (e.g. GitHub Actions, Jenkins)
Experience building container images
Command of at least one container management or orchestration tool (e.g. Docker, Podman, or Kubernetes)
Hands-on experience with Linux systems, package management, build systems, release engineering, or artifact pipelines
Clear communication and end-to-end ownership, spanning design, review, documentation, operation, and cross-team collaboration
A commitment to sharing knowledge and helping those around you grow
A genuine appetite for learning and for working outside your comfort zone
A Bachelor's degree or equivalent in Computer Science, a STEM field, or a similar discipline
An exceptional academic track record from both high school and university
Business level written and spoken English.
Sincere personal motivation aligned with our mission.
International travel 2-4 times a year for company events up to two weeks long.
0-7 years relevant experience.
In addition we expect that you will match our values, by being:
Precise, taking care to deliver correctness and clarity.
Reliable, delivering high quality work that builds trust and confidence.
Accessible, collaborating to build products and systems that are usable.
Adroit, blending enthusiasm, knowledge, adaptability, style and character.
Nice-to-have skills
A security-oriented maintenance mindset: you can investigate dependency and vulnerability findings, assess their impact, and deliver a safe fix
An understanding of software supply chain security, with some experience generating and consuming artifacts such as SBOMs, signatures, provenance, or CVE reports
Familiarity with GitOps principles and workflows
Familiarity with additional languages such as Go or Rust
Hands-on experience building minimal and distroless container images
Knowledge of the OCI specifications
Familiarity with security or compliance frameworks such as CIS, NIST, FedRAMP, or DISA STIG
Evidence of contributions to open source projects
A passion for embedding security across all stages of the engineering lifecycle (DevSecOps), and an interest in using AI or agentic development responsibly and safely
Relevant Linux, container, or cloud-native certifications (such as CKS or DCA) are welcome
If your experience is close but does not match every requirement, we encourage you to apply. We value transferable experience from Linux packaging, release engineering, build systems, platform engineering, and open-source maintenance.
What we offer colleagues
We consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to ensure we recognize outstanding performance. In addition to base pay, we offer a performance-driven annual bonus. We provide all team members with additional benefits, which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally.
Distributed work environment with twice-yearly team sprints in person
Personal learning and development budget of USD 2,000 per year
Bi-annual compensation review
Company recognition rewards
40 days annual leave per annum, including public holidays and our All Company holiday periods
Maternity and paternity leave
Team Member Assistance Program & Wellness Platform
Opportunity to travel to new locations to meet colleagues, with Priority Pass for lounge access
About Canonical
Canonical is a pioneering tech firm at the forefront of the global move to open source. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation, and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. We are founder-led, profitable, and growing.
Powered by worldwide distributed collaboration since our inception in 2004, we believe tech and business leadership can emerge anywhere. We have no central headquarters. Most of us work from home, but we are exceptionally disciplined about this. We have very high expectations of all colleagues, and are champions of excellence. Working here is a step into the future and will challenge you to think differently, work smarter, learn new skills, and raise your game.
Canonical is an equal opportunity employer
We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products.
Whatever your identity, we will give your application fair consideration
.
Location: San Francisco, CA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the Role
We are looking for a Finance & Strategy (FP&A) Systems Engineer to join our Finance Systems team at Anthropic. In this role, you will be responsible for building and maintaining platforms that support our core Financial Planning, Forecasting and Analytics processes. You will bring deep hands-on expertise in EPM platforms like Anaplan, Pigment and data platforms like BigQuery, who writes integrations, tooling, and production code that connect them to Anthropic’s ERP and data warehouse systems. You'll work closely with Corporate Finance & strategy stakeholders to translate business requirements into innovative technical solutions, maintain data integrity, and drive continuous improvements to our financial systems infrastructure.
You'll manage day-to-day Finance system operations, support critical financial processes and monthly Forecasting cycles, and take on more ambitious system projects over time, including using Claude to automate FP&A work, help build scalable solutions that enable efficient financial planning, forecasting, and reporting as we continue to grow.
Responsibilities
Systems Administration and Support
Serve as a primary system administrator for our financial planning platform (Pigment), maintaining system health and optimal performance
Manage Finance applications, data, user access & security, system configurations, version management to ensure appropriate controls and governance.
Provide technical support and troubleshooting for end-users, resolving issues and answering system-related questions
System Development and Enhancement
Design, build, and maintain applications, Financial models and workflows with in-house tools and EPM platform like Pigment to support financial planning, budgeting, forecasting, and reporting processes
Develop and maintain secure dataflows, integrations using Rest APIs to connect FP&A platforms, data warehouse with enterprise systems (e.g., Workday Financials, Salesforce CRM, etc.)
Develop SQL-based data models, ETL pipelines, and reporting infrastructure to support financial close, forecasting, and business intelligence.
Business Partnership and Process Improvement
Partner with Finance & Strategy (FP&A), Accounting, and other Finance teams to understand business problems and use AI tools to build cutting edge solutions
Support Monthly Forecast, Annual & Long Range planning, Workforce planning, OPEX Forecasting, Balance Sheet & Cash flow forecasting processes.
Identify and implement process and Finance platform improvements.
Participate in testing and validation of system changes, ensuring accuracy and reliability
Assist with training and onboarding of new system users
Data Management and Quality
Ensure the accuracy and integrity of financial data across systems
Develop and maintain data validation rules and quality checks
Troubleshoot data discrepancies and work with relevant teams to resolve issues
Support data migration and transformation activities as needed
Minium Qualifications
Have 8+ years of experience in FP&A systems - EPM platforms, Finance data warehouse, with a focus on financial planning, forecasting and analysis.
Have hands-on experience administering and developing solutions in enterprise planning platforms (e.g., Pigment, Anaplan, Adaptive Planning, or similar EPM tools)
Possess strong engineering and technical skills including advanced SQL and data modeling skills, creating and maintaining system integrations and data pipelines.
Have demonstrated ability to translate business requirements into technical specifications and system designs.
Have a strong understanding of FP&A processes, financial reporting, and accounting principles
Preferred Qualifications
Techno-functional: you're someone who is a CFA but also a hands on developer.
Experience owning changes inside a shared production codebase alongside a product engineering team
Warehouse and analytics-engineering skills such as dbt, BigQuery, or comparable
Experience building robust Finance applications with LLMs
Knowledge of programming or scripting languages (Python, JavaScript, etc.)
Experience with Financial planning & analysis (CFA), experience with pre-IPO companies, supporting rapid growth and scaling financial systems accordingly.
Understanding of financial data security and compliance requirements
Certification in relevant planning platforms (e.g., Pigment, Anaplan Model Builder)
Project management skills and experience leading system implementation workstreams
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$205,000
—
$270,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: San Francisco, California
Workplace: Hybrid
WHO WE ARE
Notion is the collaborative AI workspace where teams and agents think together https://www.youtube.com/watch?v=vkpYpWfEK5s. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion.
Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work.
To be eligible for this role, you need to graduate in December 2026 and be able to start full time by January/February 2027.
WHAT YOU'LL ACHIEVE:
- You'll work with others to plan, shape, and build new product features from start to finish: through conception, research, implementation, and maintenance. For example, you might work on driving adoption, by instrumenting key onboarding moments and iterating on activation flows.
- You'll help improve performance and reliability, or polish existing features. For example, you might update our spell checker to sync dictionaries across browsers or improve search to index file attachments.
- You'll build internal tools to support simplicity and productivity for the whole team. This might include writing a script to import user feedback into Notion.
QUALIFICATIONS:
- Pursuing a bachelor's or master’s degree in computer science, engineering, or another related field.
- To be eligible for this role, you need to graduate by Dec 2026 and be able to start FTE by January/February 2027.
- Previous internship experience.
- Working towards a proficiency of one or more programming languages such as TypeScript, Node.js, or Python.
SKILLS YOU'LL NEED TO BRING:
- Impact-driven approach to technology: You see technologies as tools to achieve user impact rather than ends in themselves. You care more about building successful systems that solve real problems than about using specific tech stacks or following trends.
- You stay current with the latest tools like Codex, Claude Code, and other AI-assisted development environments. You're pragmatic about choosing the right tool for the job, focusing on what delivers the most value to users.
- Thoughtful problem-solving: For you, problem-solving starts with a clear and accurate understanding of the context. You can decompose tricky problems and work towards a clean solution, by yourself or with teammates. You're comfortable asking for help when you get stuck. You think about the implications of what you're building and how it will impact real people's lives.
- Team player: For you, work isn't a solo endeavor. You enjoy collaborating cross-functionally to accomplish shared goals, and you care about learning, growing, and helping others to do the same.
- Passion for web applications: You can work with others to build and maintain quality user interfaces for a big audience, using Web technologies like HTML, CSS, JavaScript, and a modern UI framework like React.
- Familiarity with backend systems: You understand how parts of a system fit together—from the user interface to the data model. Familiarity with database systems like Postgres, MySQL or MongoDB is a plus.
NICE TO HAVES:
- You have experience with any part of our technology stack: React, TypeScript, Node.js, Postgres, and Elasticsearch.
- You’re a builder who finds joy in building software solutions for yourself or others.
- You care about the interaction between technology and society, the ways in which they inform each other, and our responsibility as technologists to be conscious of that relationship.
- You've heard of computing pioneers like Ada Lovelace, Douglas Engelbart, Alan Kay, and others—and understand why we're big fans of their work.
Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role’s scope and complexity, and the candidate’s experience and expertise, and may vary from the range provided below. For roles based in San Francisco or New York City, the estimated salary range for this role is $135,000 - $155,000
#LI-Onsite
A NOTE ON AI
You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on.
EQUAL OPPORTUNITY & ACCOMMODATIONS
We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know.
Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.
Location: San Francisco, California; New York, New York
Workplace: Hybrid
WHO WE ARE
Notion is the collaborative AI workspace where teams and agents think together https://www.youtube.com/watch?v=vkpYpWfEK5s. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion.
Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work.
This internship will take place from May 17 - August 6 or June 14 - Sept 3 (based on your summer schedule) and you will need to be able to work out of our NY or SF office during this time.
WHAT YOU'LL ACHIEVE:
- Write clean, secure, tested, and documented code.
- Design & enhance the Notion product with new capabilities with an AI first mindset
- Develop, fix and debug software for across our full stack: web services, databases, applications, tools while leveraging modern frameworks and tooling.
QUALIFICATIONS:
- Pursuing a bachelor's or master’s degree in computer science, engineering, or another related field. Must graduate before Summer 2028.
- This internship will take place from May 17 - August 6 or June 14 - Sept 3 (based on your summer schedule) and you will need to be able to work out of our NY or SF office during this time.
- Previous internship experience.
- Working towards a proficiency of one or more programming languages such as Typescript, Node.js, or Python.
- You find large challenges exciting and enjoy discovering problems as much as solving them.
- You are able to problem-solve and adapt to changing priorities in a fast-paced, dynamic environment.
SKILLS YOU’LL NEED TO BRING:
- Thoughtful problem-solving: For you, problem-solving starts with a clear and accurate understanding of the context. You can decompose tricky problems and work towards a clean solution, by yourself or with teammates. You're comfortable asking for help when you get stuck.
- Put users first: You think critically about the implications of what you're building, and how it shapes real people's lives. You understand that reach comes with responsibility for our impact—good and bad.
- Not ideological about technology: To you, technologies and programming languages are about tradeoffs. You may be opinionated, but you're not ideological and can learn new technologies as you go.
- Empathetic communication: You communicate nuanced ideas clearly, whether you're explaining technical decisions in writing or brainstorming in real time. In disagreements, you engage thoughtfully with other perspectives and compromise when needed.
- Team player: For you, work isn't a solo endeavor. You enjoy collaborating cross-functionally to accomplish shared goals, and you care about learning, growing, and helping others to do the same.
- AI enthusiast: You have built or prototyped features with AI technologies (LLMs, Embeddings, ML) and are interested in learning more
NICE TO HAVES:
- You have expertise with specific technologies that are part of our stack, including Typescript, React, Python.
- You've heard of computing pioneers like Ada Lovelace, Douglas Engelbart, Alan Kay, and others—and understand why we're big fans of their work.
- You have interests outside of technology, such as in art, history, or social sciences.
Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role’s scope and complexity, and the candidate’s experience and expertise, and may vary from the range provided below. For roles based in San Francisco or New York City, the estimated hourly range for this role is $57/hr for Bachelors and $61/hr for Master’s.
#LI-Onsite
A NOTE ON AI
You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on.
EQUAL OPPORTUNITY & ACCOMMODATIONS
We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know.
Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.
Location: San Francisco, California; New York, New York
Workplace: Hybrid
WHO WE ARE
Notion is the collaborative AI workspace where teams and agents think together https://www.youtube.com/watch?v=vkpYpWfEK5s. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion.
Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work.
This internship will take place from January 25 - April 16 and you will need to be able to work out of our NY or SF office during this time.
WHAT YOU'LL ACHIEVE:
- Write clean, secure, tested, and documented code.
- Design & enhance the Notion product with new capabilities with an AI first mindset
- Develop, fix and debug software for across our full stack: web services, databases, applications, tools while leveraging modern frameworks and tooling.
QUALIFICATIONS:
- Pursuing a bachelor's or master’s degree in computer science, engineering, or another related field. Must graduate before December 2027.
- This internship will take place from January 25 - April 16 and you will need to be able to work out of our NY or SF office during this time.
- Previous internship experience.
- Working towards a proficiency of one or more programming languages such as Typescript, Node.js, or Python.
- You find large challenges exciting and enjoy discovering problems as much as solving them.
- You are able to problem-solve and adapt to changing priorities in a fast-paced, dynamic environment.
SKILLS YOU’LL NEED TO BRING:
- Thoughtful problem-solving: For you, problem-solving starts with a clear and accurate understanding of the context. You can decompose tricky problems and work towards a clean solution, by yourself or with teammates. You're comfortable asking for help when you get stuck.
- Put users first: You think critically about the implications of what you're building, and how it shapes real people's lives. You understand that reach comes with responsibility for our impact—good and bad.
- Not ideological about technology: To you, technologies and programming languages are about tradeoffs. You may be opinionated, but you're not ideological and can learn new technologies as you go.
- Empathetic communication: You communicate nuanced ideas clearly, whether you're explaining technical decisions in writing or brainstorming in real time. In disagreements, you engage thoughtfully with other perspectives and compromise when needed.
- Team player: For you, work isn't a solo endeavor. You enjoy collaborating cross-functionally to accomplish shared goals, and you care about learning, growing, and helping others to do the same.
- AI enthusiast: You have built or prototyped features with AI technologies (LLMs, Embeddings, ML) and are interested in learning more
NICE TO HAVES:
- You have expertise with specific technologies that are part of our stack, including Typescript, React, Python.
- You've heard of computing pioneers like Ada Lovelace, Douglas Engelbart, Alan Kay, and others—and understand why we're big fans of their work.
- You have interests outside of technology, such as in art, history, or social sciences.
Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role’s scope and complexity, and the candidate’s experience and expertise, and may vary from the range provided below. For roles based in San Francisco or New York City, the estimated hourly range for this role is $57/hr for Bachelors and $61/hr for Master’s.
#LI-Onsite
A NOTE ON AI
You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on.
EQUAL OPPORTUNITY & ACCOMMODATIONS
We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know.
Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.
Location: Bangalore, India
GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster.
The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems.
Co-create the future with us
as we build technology that transforms how the world develops software.
*
Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab.
About the role
As a Senior Backend Engineer, you will design, implement, and evolve product capabilities while solving high-scope backend problems and influencing the technical and product direction of our teams. You will move beyond "assigned work" to actively improve the quality, reliability, and performance of our systems. You will work across product, frontend, infrastructure, data, and security boundaries, making sound architectural trade-offs, communicating complex ideas clearly in an asynchronous environment, and helping define the standards for a high-scale, global product.
Why you’ll love this role
High Impact:
You aren't just shipping features; you are shaping the architecture of a global platform used by millions.
Technical Agency:
You will influence team objectives, technical direction, and long-range goals, helping us solve problems of high scope and complexity.
Innovative Culture:
You will get to experiment with and integrate agentic AI into production engineering workflows, moving beyond simple prompt engineering to build resilient, AI-assisted systems.
Autonomy:
You will thrive in our remote-first, asynchronous organization, where clear written communication and self-direction are the pillars of success.
User-Centric Collaboration:
You’ll partner closely with PMs and designers to shape requirements, ensuring every technical decision delivers genuine value to our users.
What you’ll do
Drive Technical Direction:
Design and ship moderate to complex backend features with minimal guidance, making pragmatic choices between modular-monolith code, shared components, or independently operated services.
Raise the Bar:
Advocate for product quality, security, availability, and performance. You will define backend standards for style, maintainability, testing, APIs, and operational readiness.
Mentor & Lead:
Mentor associate and intermediate engineers, remove technical blockers, and improve team delivery practices through code and design reviews.
Operational Excellence:
Diagnose and prevent performance/reliability issues at scale. Participate in incident response and act as a technical owner where appropriate.
AI Integration:
Use AI in production engineering work to improve outcomes, evaluate its effectiveness, and coach others on responsible, high-judgment use.
What you’ll bring
Deep Backend Expertise:
A strong command of backend architecture, APIs, data systems, and performance tuning in a complex product or service environment.
Adaptability:
Proficiency in modern backend languages and a deep understanding of systems programming. We value the ability to learn and adapt over mastery of a single language.
Architectural Judgment:
Experience designing or evolving modular backend boundaries, bounded contexts, and migration-safe architectures.
Influence:
Ability to lead through influence, technical judgment, and clear written communication, effectively bridging the gap between product needs and technical reality.
Agentic AI Expertise:
Proven experience building or operating agentic systems in production—moving beyond prompt engineering to architecting loops, tool-use, and error-handling strategies that ensure reliability at scale.
Helpful experience
Experience with high-throughput distributed systems, concurrency, or profiling.
Hands-on experience with containerized production operations (e.g., Kubernetes).
Deep database performance knowledge (e.g., PostgreSQL, ClickHouse, schema evolution, partitioning).
Background in large-scale modular monoliths or event-driven systems.
Public technical communication, open-source maintenance, or experience in developer-focused SaaS.
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: Remote
Workplace: Remote
Phantom https://phantom.com is on a mission to connect the world to the freedom of open markets. Tens of millions of people all over the world use Phantom to access global markets that never close, including perpetuals, prediction markets, tokenized assets, stablecoins and memes. Phantom users are able to discover the markets that matter and the cultural moments that shape them, building conviction through real-time data and the verified performance of top traders. With self-custody and access to open networks at its core, Phantom lets them control their financial moves in the same app they use to safely store or spend money worldwide.
Phantom has reached #1 in Google Play's finance category and consistently ranks in the top 50 apps across all categories. Check out our Forbes Fintech 50 https://www.forbes.com/sites/ninabambysheva/2026/02/23/inside-phantoms-battle-plan-to-win-the-crypto-fueled-superapp-war/ and CNBC and Statista's World's Top Fintech Companies 2026 https://www.cnbc.com/worlds-top-fintech-companies-2026/!
We are around 180 people, fully remote, backed by a $150M Series C investment from a16z, Sequoia Capital and Paradigm.
This role is fully remote; however, we’re only open to candidates based in the US, EU and UK.
RESPONSIBILITIES
- SDLC Infrastructure Ownership: Own and evolve CI/CD infrastructure using GitHub Actions and Kubernetes, with a focus on reliability, scalability, and developer velocity.
- Mobile Release Automation: Automate release workflows including building, signing, and distributing binaries and managing app store submissions across iOS, Android, and Chrome.
- e2e Test Automation: Oversee and improve automated end-to-end testing with Maestro and Playwright across mobile and web.
- CI/CD Optimization: Improve pipeline performance, reliability, and observability to support rapid, high-confidence releases.
- Developer Experience: Partner with engineering teams on SDLC and DevEx improvements, including preview environments and tooling such as Appetize.
- Security & Compliance: Help ensure build, release, and deployment systems meet the security and compliance expectations of a financial product.
- Technical Leadership: Set standards and drive improvements across build, test, release, and deployment workflows, partnering closely with product and engineering teams.
QUALIFICATIONS
- 8+ years of experience in DevOps, Platform Engineering, SRE, Systems Engineering, or a related role, with experience operating at a senior or staff level.
- Strong experience with AWS and CI/CD systems such as GitHub Actions or GitLab CI.
- Strong experience with Docker, Kubernetes, and Infrastructure-as-Code tools such as Terraform or Pulumi.
- Experience supporting CI/CD and release infrastructure for production mobile applications, including iOS and Android.
- Experience working in financial services, fintech, or another environment with meaningful security and compliance requirements.
- Strong track record of improving developer workflows and partnering across engineering teams.
- Nice-to-have: Experience with React Native and/or Expo, mobile preview environments, or Appetize.
- Nice-to-have: Blockchain/crypto experience.
Why Work With Us
Phantom's journey to becoming a global trading app began with making crypto easier to use. Today, we’re building on that foundation to help people discover the markets that matter, make informed financial moves, and safely store or spend their money worldwide. Joining Phantom means helping shape that next chapter: building products that bring the freedom of open markets to more people.
- Build for global impact: Create products used by tens of millions of people, making innovative financial markets more accessible to users around the world.
- Make complexity feel simple: Solve meaningful challenges across design, engineering, and user experience to make discovering markets and managing money seamless.
- Put users in control: Help build a future where people have greater freedom over their assets and financial decisions, with security and self-custody at the foundation.
Benefits (only available to full-time employees)
- Competitive salary and equity
- Comprehensive insurance (medical/dental/vision): base plan 100% covered
- Flexible hours and a long-standing, supportive remote environment
- Unlimited vacation: Take time when you need it (and we really mean it!)
- 401(k) retirement plan
- Wellness stipend
- Weekly meal stipend
- Learning & Development stipend
- Remote / WFH set-up stipend
We strongly encourage candidates of all backgrounds to apply. We believe that our work is stronger with a variety of perspectives, and we’re eager to further diversify our company. If you have a background that you feel would make an impact at Phantom, please consider applying. We’re committed to building an inclusive, supportive place for you to do the best work of your career.
By submitting your resume and application materials, you acknowledge and agree that Phantom Technologies, Inc. ("Phantom") collects and processes your personal information (including application materials, interview records, and related data) to evaluate your candidacy. Phantom may use AI-powered tools and third-party service providers for transcription, note-taking, scheduling, and other administrative tasks. Phantom does not sell your information and your materials will be handled securely and in accordance with applicable data protection laws.
Location: England; United States
Workplace: Remote
ABOUT DOCKER
Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout.
We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default.
_______________________________________________________________________
THE ROLE
The Developer Experience team builds the backend systems and product capabilities that help developers understand, secure and ship software with confidence. The team powers important parts of Docker Scout, Docker Hardened Images and the workflows that turn supply-chain data into useful developer experiences.
Our systems are deliberately polyglot. Today that includes Clojure and Go services, event-driven workflows, Kafka, legacy Datomic components and newer Spanner-backed services. We will keep evolving the stack as the product and business change. We are looking for an adaptable backend engineer who can become effective in an unfamiliar codebase, choose technology pragmatically and help other engineers do the same. Clojure experience is useful, but it is not a requirement and this is not a Clojure-specialist role.
We make extensive use of AI-assisted engineering tools. We expect engineers to use them thoughtfully, validate their output and remain accountable for the quality, security and operability of what ships. At Staff level, you will also help the team turn good individual practice into repeatable workflows, controls and shared standards.
As a Staff Software Engineer, you will lead ambiguous, cross-team work from problem definition through measurable outcomes. You will remain hands-on in code while shaping architecture, raising operational standards and creating enough clarity for several engineers and partner teams to move quickly. Work may span developer-facing features, build and artefact workflows, data and event pipelines, platform evolution and integrations with Docker's build and security systems.
SUCCESS IN THIS ROLE LOOKS LIKE
You will succeed by finding the highest-leverage problem, creating momentum before every detail is known and bringing people with you. Within your first year, teams should be delivering more confidently because you have made system boundaries clearer, reduced operational risk, connected technical choices to customer outcomes and helped senior engineers take on larger work.
_______________________________________________________________________
RESPONSIBILITIES
- Set technical direction for major backend and developer-experience initiatives across Clojure, Go and adjacent systems.
- Turn ambiguous product or platform problems into clear plans, staged decisions and measurable outcomes.
- Design, build and operate distributed services, event pipelines, databases and APIs with strong security and reliability characteristics.
- Lead cross-team delivery, surface risks early and remove technical or organisational blockers without waiting for formal authority.
- Make pragmatic recommendations about when to retain, evolve or replace existing components, including the continued reduction of legacy Datomic dependencies.
- Partner with Product, Design, Security and other engineering teams to connect technical investment to developer and business outcomes.
- Improve observability, incident readiness, performance and service ownership across the Developer Experience estate.
- Improve engineering leverage through appropriate automation, AI-assisted workflows and controls that preserve human accountability.
- Mentor senior engineers, raise the quality of design and code reviews and create reusable patterns that multiply the team.
- Stay hands-on through implementation, debugging and the team's paid on-call rotation.
- Communicate decisions and trade-offs clearly in a remote, async-first environment.
_______________________________________________________________________
QUALIFICATIONS
REQUIRED
- 8+ years of software engineering experience, with demonstrated technical leadership on production systems at scale.
- Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience
- Deep experience designing, building and operating production backend or platform systems.
- Strong programming ability in at least one production language, with evidence of becoming effective in unfamiliar languages and codebases.
- Experience with distributed systems, event-driven architectures, APIs, relational or distributed databases and cloud-native infrastructure.
- A track record of leading complex initiatives that crossed team or organisational boundaries.
- Strong technical and product judgement, including the ability to explain constraints, alternatives, customer outcomes and business trade-offs.
- Evidence of influencing without authority and improving the effectiveness of other experienced engineers.
- An operational mindset that treats observability, resilience, incident response and on-call ownership as part of engineering.
- Comfort using AI-assisted engineering tools critically while retaining ownership of the result.
- Clear written and spoken communication suited to a remote, async-first company.
HELPFUL, BUT NOT REQUIRED
- Production experience with Go, Clojure or both.
- Experience with Spanner, Datomic, Kafka or other distributed data and streaming platforms.
- Experience with build systems, containers, artefact workflows or developer tooling.
- Experience evolving a platform, database or language strategy without disrupting product delivery.
- Experience building security or software supply-chain products.
_______________________________________________________________________
WHAT TO EXPECT
FIRST 30 DAYS
- Build context on Developer Experience products, customers, architecture and current priorities.
- Pair across Clojure, Go, Datomic and Spanner-backed systems and ship a useful production change.
- Understand the operational profile of the team's services, including on-call and recurring failure modes.
- Build working relationships with Product, Design, Security and adjacent engineering teams.
- Learn the team's AI-assisted engineering practices and identify where shared controls or workflows would improve them.
FIRST 90 DAYS
- Lead the technical framing and delivery plan for one significant team or cross-team problem.
- Contribute production code in the parts of the stack needed to move that work forward.
- Identify and begin addressing a material reliability, observability, data or architectural weakness.
- Establish a mentoring and design-review cadence that helps other engineers own larger decisions.
ONE YEAR OUTLOOK (FIRST YEAR)
- Be a trusted technical leader for Developer Experience and a sought-after partner across Docker.
- Deliver at least one material product or platform outcome spanning multiple teams or systems.
- Improve the reliability, clarity and delivery speed of the backend and data estate.
- Shape pragmatic evolution across Clojure, Go, Datomic, Spanner and future technologies without turning technology choice into the goal.
- Grow other senior engineers into broader ownership and reduce the number of decisions that depend on a small set of people.
Visa sponsorship: Docker considers visa sponsorship on a case-by-case basis based on business needs.
_______________________________________________________________________
COMPENSATION & EQUITY
All full-time roles include equity. Final compensation is determined on factors including but not limited to experience, skills, qualifications, and location.
Europe: €110,500 – €181,500 base
United States: $170,350 – $275,550 base
______________________________________________________________________
POSTING INFORMATION
- Open vacancy: This posting is for an existing open role.
- AI in hiring: Docker may use AI-assisted tools during our recruiting process.
- Interview recordings: Candidates will be invited to opt in to interview recordings to support interviewer calibration and consistent evaluations. Recordings are optional and require explicit consent.
______________________________________________________________________
PERKS & BENEFITS
- Remote-first by design – Work from your home, with offices in Seattle and Paris for connection and collaboration.
- Flexibility that fits your life – We trust you to manage your schedule while delivering great work.
- Time to recharge – Generous PTO, designated quarterly Whaleness Days, and a designated end-of-year Whaleness break.
- Home office support – Set up your workspace for comfort and success.
- Technology stipend – Equivalent to US$100 net per month to help support your work.
- Learning & development – Annual stipend for conferences, courses, certifications, and continued learning.
- Parental leave – 16 weeks of paid parental leave after six months of employment.
- Equity for all full-time employees – Share in Docker's long-term success as we continue to grow.
- Comprehensive benefits – Medical, retirement, and paid holidays vary by country.
- Docker swag – Because representing the whale never gets old.
Docker is proud to be an equal opportunity employer. We are committed to building a team that reflects a broad range of backgrounds, experiences, and perspectives. We believe diverse teams build better products, make better decisions, and better serve our global community.
#LI-REMOTE
Location: England; United States
Workplace: Remote
ABOUT DOCKER
Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout.
We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default.
_______________________________________________________________________
THE ROLE
The Secure Build team builds and operates the infrastructure behind Docker's container builds. The team owns Docker Build Cloud and Auto Builds while developing the next generation of trusted build and CI capabilities.
Software is being changed faster than ever, but CI remains a bottleneck and a major trust boundary. Developers and software agents need to run build and test work quickly without exposing secrets, losing local-to-cloud parity or accepting an unverifiable result. Our direction is to make Docker the trusted place CI runs and turn that constraint into an accelerator.
The technical work spans Go services, container and build technology, cloud infrastructure, isolated execution and software supply-chain security. It also requires disciplined operation of the production systems customers rely on today. Docker Build Cloud and Auto Builds will need targeted reliability and operational improvements while useful capabilities evolve towards a coherent Secure Build platform.
As a Senior Software Engineer, you will turn these problems into practical product and technical outcomes. You will own substantial work from discovery and design through production, make sound security and reliability trade-offs, and stay close to the experience of developers and the agents they delegate work to.
We make extensive use of AI-assisted engineering tools. We expect engineers to use them thoughtfully, validate their output and remain accountable for the quality and security of what ships.
SUCCESS IN THIS ROLE LOOKS LIKE
You will succeed by becoming an end-to-end owner for secure, reliable build infrastructure. Within your first year, you should have delivered a material secure-build or CI capability, reduced operational risk in Docker Build Cloud or Auto Builds, and become a trusted partner to the teams and customers that consume the platform.
_______________________________________________________________________
RESPONSIBILITIES
- Turn developer, agent and security problems into clear requirements, staged technical decisions and measurable outcomes.
- Design, build and operate Go services and APIs that power Docker's build and secure-CI infrastructure.
- Develop isolation, identity, policy, provenance, attestation and signing capabilities for trusted build and test jobs.
- Work with container, OCI, BuildKit, cloud and isolated-execution technologies to deliver secure and reproducible workflows.
- Own features from technical design through rollout, observability, incident response and ongoing maintenance.
- Keep Docker Build Cloud and Auto Builds reliable, make targeted improvements that reduce operational load, and help their capabilities evolve towards the wider Secure Build direction.
- Make practical security trade-offs and use threat modelling to guide designs without blocking delivery.
- Design for a clear developer experience, including workflows initiated or consumed by software agents.
- Partner with Product, Security, Developer Experience, Registry and other platform teams on end-to-end customer workflows.
- Participate in the team's paid on-call rotation and drive improvements from incidents and recurring operational work.
- Communicate decisions, risks and progress clearly in a remote, async-first environment.
_______________________________________________________________________
QUALIFICATIONS
REQUIRED
- 6+ years of software engineering experience, with demonstrated technical leadership on production systems at scale.
- Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience
- Strong backend engineering experience building and operating distributed systems in production.
- Production experience with Go and the ability to write, test, review and debug maintainable Go services.
- Experience with containers and build or CI systems, such as OCI, BuildKit, Buildx, GitHub Actions or comparable platforms.
- Experience with cloud-native infrastructure and a major cloud platform.
- A strong operational mindset covering observability, reliability, incident response and on-call ownership.
- Evidence of taking a feature or service from an ambiguous problem through production operation and measurable results.
- Working knowledge of security boundaries, identity, secrets and common software supply-chain risks.
- A strong product mindset and care for developer workflows, including experiences used by software agents.
- Clear written and spoken communication suited to a remote, async-first company.
HELPFUL, BUT NOT REQUIRED
- Experience with Kubernetes.
- Experience with SLSA, in-toto, SBOM, VEX, Sigstore, cosign, provenance or artefact signing.
- Experience with sandboxing, microVMs, untrusted workload execution or multi-tenant infrastructure.
- Experience building hosted CI runners, remote builders or developer-platform infrastructure.
- Experience with agentic development workflows or building systems used programmatically by software agents.
- Experience evolving a legacy production system while delivering new capabilities.
_______________________________________________________________________
WHAT TO EXPECT
FIRST 30 DAYS
- Build context on Docker Build Cloud, Auto Builds and the Secure Build product and technical direction.
- Pair with the Secure Build team on core services, deployments and operational practices.
- Ship a useful production change and take part in an operational review or incident-learning session.
- Understand the secure-CI threat model and build relationships with DHI, Registry and Developer Experience.
FIRST 90 DAYS
- Own a secure-build feature or reliability improvement from problem definition through production.
- Contribute materially to the secure-CI architecture, including isolation, identity, policy or signed evidence.
- Deliver an observable improvement to the reliability or operability of an existing build service.
- Demonstrate strong product judgement across developer and agent workflows.
ONE YEAR OUTLOOK (FIRST YEAR)
- Be a trusted senior technical owner on the Secure Build team.
- Deliver a material secure-CI or trusted-build capability used by customers or internal product teams.
- Improve the reliability and maintainability of Docker Build Cloud and Auto Builds while helping their useful capabilities converge with the wider platform.
- Contribute to the team's architecture for isolated execution, brokered access and verifiable build outcomes.
- Help establish strong product, design, review and operational practices as the team grows.
Visa sponsorship: Docker considers visa sponsorship on a case-by-case basis based on business needs.
_______________________________________________________________________
COMPENSATION & EQUITY
All full-time roles include equity. Final compensation is determined on factors including but not limited to experience, skills, qualifications, and location.
Europe: €94,040 – €155,650 base
United States: $160,900 – $260,700 base
______________________________________________________________________
POSTING INFORMATION
- Open vacancy: This posting is for an existing open role.
- AI in hiring: Docker may use AI-assisted tools during our recruiting process.
- Interview recordings: Candidates will be invited to opt in to interview recordings to support interviewer calibration and consistent evaluations. Recordings are optional and require explicit consent.
______________________________________________________________________
PERKS & BENEFITS
- Remote-first by design – Work from your home, with offices in Seattle and Paris for connection and collaboration.
- Flexibility that fits your life – We trust you to manage your schedule while delivering great work.
- Time to recharge – Generous PTO, designated quarterly Whaleness Days, and a designated end-of-year Whaleness break.
- Home office support – Set up your workspace for comfort and success.
- Technology stipend – Equivalent to US$100 net per month to help support your work.
- Learning & development – Annual stipend for conferences, courses, certifications, and continued learning.
- Parental leave – 16 weeks of paid parental leave after six months of employment.
- Equity for all full-time employees – Share in Docker's long-term success as we continue to grow.
- Comprehensive benefits – Medical, retirement, and paid holidays vary by country.
- Docker swag – Because representing the whale never gets old.
Docker is proud to be an equal opportunity employer. We are committed to building a team that reflects a broad range of backgrounds, experiences, and perspectives. We believe diverse teams build better products, make better decisions, and better serve our global community.
#LI-REMOTE
Location: San Francisco, CA
Workplace: OnSite
ABOUT US
At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
ABOUT THE ROLE
Cloud providers and Systems Integrators help LangChain reach customers that our direct sales and customer engineering teams can't reach on their own. This role is the technical foundation behind that ecosystem.
You'll build the reference architectures, integration patterns, and enablement programs that make partner motions work technically: co-sell with cloud hyperscalers, and independent delivery capability at systems integrators and global systems integrators (GSIs). You build with and for a partner, whose technical team then takes what you built to dozens of their own clients.
About the role
AWS, Google Cloud, and Microsoft Azure help LangChain reach customers that our direct sales and customer engineering teams can't reach on their own. This role is the technical foundation behind those cloud alliances.
You'll build the reference architectures, integration patterns, and co-sell assets that make our cloud motions work technically. That covers marketplace listings and private offers, joint solutions with cloud field teams, and technical wins on named accounts. You build with and for each cloud provider, and their partner and field teams then take what you built to many of their own customers. When a cloud deal involves a services partner, you make sure that partner can deliver on LangChain.
Key responsibilities
Cloud partner engineering (AWS, GCP, Azure)
- Own the technical relationship with partner and field teams at AWS, Google Cloud, and Microsoft Azure
- Build reference architectures and integration patterns for running LangChain, LangGraph, DeepAgents and LangSmith on each cloud, including integrations with each provider's native AI and data services (for example Amazon Bedrock, Gemini Enterprise, AzureAI)
- Support the technical side of co-sell: joint solution briefs, deployment guides, and validated architectures that cloud sellers can bring to their customers
- Partner with cloud account teams on solutioning for named accounts, from discovery through technical win
- Keep our marketplace listings, deployment options, and co-sell technical assets current as the product evolves
- Enable cloud field and partner teams through workshops, demos, and technical briefings so they can position LangChain without pulling in our engineers for every deal
- Build and maintain joint technical plans with each cloud provider, turning shared account and industry priorities into a concrete set of reference assets
Marketplace motions with services partners
- Support systems integrators and resellers when they're part of a cloud deal, such as marketplace private offers transacted through a channel partner or joint deployments on a customer's cloud
- Give those partners the technical assets they need to scope and deliver LangChain on AWS, GCP, or Azure, using existing reference architectures and implementation guides rather than a standalone enablement program
Partner technical evangelism and feedback
- Serve as a technical escalation point for complex deployments sourced through cloud partners
- Represent LangChain at cloud provider events, summits, and joint webinars
- Gather feedback from cloud partners and the field, and route it back to product and engineering
What we're looking for
7+ years of experience in a technical, partner-facing or customer-facing role such as Partner Engineer, Partner Solutions Architect, Solutions Architect, or Sales Engineer. Experience at or alongside a hyperscaler is a strong plus. We also like former founders and technical leaders, so if you have an unusual background but the right skill set, you're welcome to apply.
Cloud and partner experience
- Track record of working with AWS, Google Cloud, or Microsoft Azure partner and field teams to drive co-sell, from joint solution design through technical win
- Familiarity with cloud marketplace mechanics such as listings, private offers, and channel partner offers, and with hyperscaler co-sell programs
- Experience enabling a partner's field or technical teams so they can position and deploy a product without depending on you for every deal
- Comfortable working across engineering, partnerships, and sales at the same time
- Strong presentation and technical communication skills, able to translate between technical and business stakeholders, including C-suite executives
Agent engineering and development
- Hands-on experience building with LLM frameworks such as langchain, langgraph, or similar, including RAG patterns and agent architecture
- Experience designing evaluation frameworks and iterating on prompts and agent behavior based on results
- Strong Python skills
Cloud architecture and integration
- Deep working knowledge of at least one of AWS, GCP, or Azure, and familiarity with the other two. Strong background in GCP or Azure preferred.
- Hands-on experience with cloud AI platforms and managed model services
- Experience designing integrations, sample repositories, or reference architectures that other teams can pick up and reuse
- Familiarity with vector stores, tool integration, and API design in agentic systems
Key attributes
- You build credibility with a cloud provider's technical and field teams and act as their trusted advisor on LangChain
- Building and evangelizing are both part of the job. You're equally comfortable writing an integration and presenting it at a cloud summit
- You build assets that scale. A reference architecture should work across every cloud account team, not only the one in front of you
- You're comfortable with variety. AWS, GCP, and Azure each have their own programs, sellers, and ways of working, and switching between them doesn't throw you off
LOCATION:
San Francisco
COMPENSATION:
$185K to $225K
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks.
We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
BENEFITS
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
Location: Lisbon
Workplace: Hybrid
Role Highlights:
- Title: AIT Engineering Team Lead
- Department: Global Manufacturing Organization
- Reports to: Head of MAITE, Optics
- Location: Lisbon, Portugal
- Type of Contract: Permanent
- Working model: On-site
- Employment is subject to applicable security screening (incl. SUPO, where required)
Why this role matters:
ICEYE is seeking a Team Lead, AIT Engineering to lead the AIT Engineering function responsible for the assembly, integration, and testing of satellite systems and optical payloads.
This is a technical leadership and people management role in an early-stage production environment, where products, processes, and manufacturing capabilities are continuously evolving. You will lead and develop the AIT Engineering team while acting as the technical focal point for AIT activities during spacecraft builds and integration campaigns.
The role sits at the interface between Engineering and Production. You will work closely with optical, mechanical, electrical, systems, quality, and production teams to translate design intent into robust, manufacturable, integrable, and testable processes, while ensuring that feedback and issues identified during production are effectively driven back into Engineering.
You will also support the integration and validation of externally supplied optical payloads, working with internal engineering teams and external suppliers to ensure successful integration into the satellite platform.
The role requires a strong background in spacecraft AIT, system integration, or complex hardware integration, combined with the ability to lead people, coordinate technical activities, develop robust processes, and drive execution in a fast-paced production environment.
This is a talent pool posting.
We are building our Lisbon manufacturing organisation ahead of site ramp-up. We expect this role to open formally in Q4 2026. Applying now registers your interest early and puts you at the front of the process when the req goes live.
Who We Are
ICEYE is the world leader in sovereign intelligence from space. We deliver persistent monitoring capabilities to detect and respond to changes in any location on Earth.
ICEYE owns the world's largest and most advanced SAR (synthetic aperture radar) satellite constellation. To our customers we provide intelligence with unmatched quality, latency and revisit times, in any weather, day or night. To governments who choose to operate their own constellation we provide this proven capability as a sovereign system.
ICEYE-built constellations serve customers in defence and intelligence, environmental monitoring, insurance and emergency management. We enable fast decisions that contribute to a safer future.
Founded and headquartered in Finland, ICEYE operates globally with over 1000 employees across Europe, North America, the Middle East, and Asia-Pacific.
What you will do
- Lead and develop the AIT Engineering team, providing technical direction, mentoring, and clear priorities.
- Lead the assembly, integration, and testing of spacecraft systems, acting as the technical focal point during spacecraft builds.
- Support the integration and validation of externally supplied optical payloads into the spacecraft platform.
- Combine technical leadership with hands-on involvement in spacecraft integration, testing, troubleshooting, and verification.
- Ensure AIT readiness before builds, including tools, GSE, procedures, documentation, hardware, and engineering support.
- Drive structured problem-solving and root cause analysis of integration and test issues, ensuring lessons learned are fed back into Engineering and production.
- Act as the bridge between Production and Engineering, translating design requirements into practical, manufacturable, and testable integration processes.
- Work closely with Systems, Mechanical, Electrical, Optical, Quality, Manufacturing, and external suppliers to resolve integration challenges.
- Define and continuously improve AIT processes, procedures, test methods, tooling, fixtures, and technical documentation.
- Support production ramp-up by improving integration efficiency, repeatability, reliability, and scalability.
- Mentor engineers and build strong technical capabilities within the AIT organization.
What we’re looking for
Must haves:
- 5+ years of hands-on experience in spacecraft AIT, system integration, testing, or production of complex hardware systems.
- Strong experience with spacecraft integration and system-level testing across multiple engineering disciplines.
- Experience with optical systems, optomechanics, optical payloads, or Earth Observation systems.
- Experience working with complex precision hardware in cleanroom or controlled environments.
- Strong system-level understanding across mechanical, electrical, optical, and systems engineering.
- Experience with DFM / DFT principles and translating design requirements into manufacturable and testable solutions.
- Experience with AIT processes, test procedures, verification, and technical documentation.
- Experience with GSE, tooling, fixtures, or test setups used for integration and testing.
- Strong troubleshooting skills, including structured root cause analysis and corrective actions.
- Experience working with MES, ERP, test data management, or similar production systems.
- Experience with Lean manufacturing or continuous improvement methodologies.
- Strong understanding of configuration-controlled production and engineering environments.
- Strong communication and stakeholder management skills.
- Strong written and spoken English.
Nice-to-haves:
- Experience with optical alignment and metrology, including focus, tilt, centering, boresight, interferometry, collimators, or MTF.
- Experience supporting environmental testing, such as thermal vacuum, vibration, or EMC.
- Experience working with external suppliers or partners, particularly payload suppliers.
- Experience supporting products from prototype through production ramp-up.
- Experience with PDR, CDR, PRR, or equivalent technical and production readiness reviews.
- Experience with PFMEA, process capability, or other manufacturing engineering tools.
- Experience in Lean manufacturing, industrialization, or production scale-up.
Application Process
- Talent Acquisition interview
- Hiring manager interview
- Technical interview, including a technical challenge
- Hiring team + director-level interview
- Offer
Working at ICEYE
At ICEYE, you’ll join a diverse and highly engaged team united by the ambition to make the impossible possible. As a global scale-up, we combine speed and ambition with the opportunity to take real ownership from day one. Your growth, wellbeing, and success are a priority, with continuous professional development, training opportunities, and a culture where collaboration is how we win.
How We Work (Our Values)
- Make the impossible possible: We set ambitious goals and stay calm under pressure. We bring grit, optimism, and ownership when things get hard, and we keep moving until we find a way.
- Be curious: Go deep, ask questions, listen carefully, and think critically. Understand the “why” behind decisions.
- See the big picture: Stay close to what’s happening across the company so you can make better decisions. Consider how your work affects others.
- Drive effective teamwork: Create psychological safety, invite different perspectives, and build inclusive teams. There are no bad questions.
- Act as one team: We win together. We match tasks to the right owner and stay agile as priorities shift.
- Have fun: What we do matters—and it should be enjoyable. Celebrate progress, take pride in results, and share the wins.
Benefits
Our benefits are designed to support your health and wellbeing, at work and beyond. We keep improving them based on employee feedback, and offerings vary by location. Talent Acquisition will confirm what applies for this role and location during the process.
Base salary range for this position is dependant on experience, and will be negotiated individually.
Our Commitment to Diversity, Equity, and Inclusion
We want ICEYE to be a place where people can be themselves and do great work. Different backgrounds and perspectives make us stronger, which is why we work to create an environment where people feel included, respected, and able to speak up. Whatever your background, we want you to bring your authentic self to the table.
We’re committed to fair, inclusive hiring and equal opportunity. Everyone is welcome to apply. If you need any adjustments or support during the recruitment process, tell us—we’ll do our best to help.
Apply now to start your ICEYE journey, and help us continue to make the impossible possible together. Read more about ICEYE and working with us at iceye.com http://iceye.com.
Location: Espoo
Workplace: OnSite
Role highlights:
- AIT Mechanical Test Engineer
- Location: Espoo, Finland
- Department: Global Manufacturing Organisation
- Reports to: AIT Engineering Team Manager
- Employment type: Permanent
- Workplace model: On-site
- Employment is subject to applicable security screening (incl. SUPO, where required)
Why this role matters:
As an AIT Mechanical Test Engineer, you own mechanical and environmental test readiness for ICEYE's satellite platform: vibration, shock, mass properties, and fastened or mechanism interfaces. You will personally set up, run, and troubleshoot vibration test campaigns end-to-end, working in close partnership with structural and mechanical designers to ensure every subsystem can be built and verified reliably as ICEYE scales GEN4 satellite production toward a weekly build cadence.
Who We Are
ICEYE is the world leader in sovereign intelligence from space. We deliver persistent monitoring capabilities to detect and respond to changes in any location on Earth.
ICEYE owns the world's largest and most advanced SAR (synthetic aperture radar) satellite constellation. To our customers we provide intelligence with unmatched quality, latency and revisit times, in any weather, day or night. To governments who choose to operate their own constellation we provide this proven capability as a sovereign system.
ICEYE-built constellations serve customers in defence and intelligence, environmental monitoring, insurance and emergency management. We enable fast decisions that contribute to a safer future.
Founded and headquartered in Finland, ICEYE operates globally with over 1000 employees across Europe, North America, the Middle East, and Asia-Pacific.
Your day-to-day responsibilities
- Own mechanical and environmental test readiness for vibration testing (random vibration, sine burst/sweep, sine-on-random/random-on-random, resonance search and dwell), shock, mass properties/CG verification, and fastener torque and thread-locking integrity testing
- Personally set up, operate, and troubleshoot the vibration test system (electrodynamic shaker, slip table, head expander) and its control software, including electronic, hydraulic, and pneumatic sub-systems
- Design or evaluate test fixtures, considering structural dynamics principles and force/overturning moment budgets, and coordinate fixture fabrication
- Author test procedures and reports that are technically correct, version-controlled, and executable on the floor without interpretation
- Act as the mechanical test point of contact for engineering and production when structural behaviour during test is unclear, unexpected, or blocking
- Work in a "2-in-a-box" partnership with structures and mechanical designers to derive and verify test levels and assess testability of design changes
- Own Tier-2 technical support for mechanical test non-conformances and anomalies -- triage, root cause, corrective action, and closure
- Analyse test data and communicate results and recommendations clearly to engineering teams, while mentoring AIT technicians on mechanical test execution
What we’re looking for
Must haves:
- Degree in Mechanical Engineering, Aerospace Engineering, or a closely related discipline
- 3-5 years of hands-on experience in vibration, shock, or environmental test engineering in a hardware-intensive environment (aerospace, defence, automotive, or similar)
- Direct, hands-on experience operating electrodynamic shaker systems and vibration test control software across sine, random, shock, and sine burst/sweep testing
- Solid understanding of structural dynamics and environmental test methods, with working knowledge of relevant standards (RPUG, MIL-STD-1540/810, NASA GEVS, or ECSS)
- Experience designing or evaluating test fixtures and deriving test levels from mass properties and force/OTM budgets
- Ability to read and interpret mechanical drawings, ICDs, and test specifications, translating them into executable test procedures
- Excellent English communication skills, written and verbal, across engineering and production audiences
Nice to haves:
- Hands-on experience with Vibration Research software (VibrationVIEW / ObserVIEW)
- Experience in spacecraft, aerospace, defence, or other high-reliability mechanical test environments
- Familiarity with satellite structural qualification or acceptance test campaigns
- Exposure to HALT/HASS or other accelerated environmental test methods
- Experience supporting new test equipment acquisition, FAT/SAT, and commissioning
- Proficiency with Jira or equivalent engineering tracking and NC management systems
Application Process
- Talent Attraction interview
- Hiring manager interview
- Technical interview, including a technical challenge
- Final interview
- Offer
Working at ICEYE
At ICEYE, you’ll join a diverse and highly engaged team united by the ambition to make the impossible possible. As a global scale-up, we combine speed and ambition with the opportunity to take real ownership from day one. Your growth, wellbeing, and success are a priority, with continuous professional development, training opportunities, and a culture where collaboration is how we win.
How We Work (Our Values)
- Make the impossible possible: We set ambitious goals and stay calm under pressure. We bring grit, optimism, and ownership when things get hard, and we keep moving until we find a way.
- Be curious: Go deep, ask questions, listen carefully, and think critically. Understand the “why” behind decisions.
- See the big picture: Stay close to what’s happening across the company so you can make better decisions. Consider how your work affects others.
- Drive effective teamwork: Create psychological safety, invite different perspectives, and build inclusive teams. There are no bad questions.
- Act as one team: We win together. We match tasks to the right owner and stay agile as priorities shift.
- Have fun: What we do matters—and it should be enjoyable. Celebrate progress, take pride in results, and share the wins.
Benefits
Our benefits are designed to support your health and wellbeing, at work and beyond. We keep improving them based on employee feedback, and offerings vary by location. Talent Acquisition will confirm what applies for this role and location during the process.
Our Commitment to Diversity, Equity, and Inclusion
We want ICEYE to be a place where people can be themselves and do great work. Different backgrounds and perspectives make us stronger, which is why we work to create an environment where people feel included, respected, and able to speak up. Whatever your background, we want you to bring your authentic self to the table.
We’re committed to fair, inclusive hiring and equal opportunity. Everyone is welcome to apply. If you need any adjustments or support during the recruitment process, tell us—we’ll do our best to help.
Apply now to start your ICEYE journey, and help us continue to make the impossible possible together. Read more about ICEYE and working with us at iceye.com http://iceye.com.
Location: Kazakhstan; Kyrgyzstan; Uzbekistan
Workplace: Hybrid
Salmon is a technology-driven financial company building a banking and lending platform across Southeast Asia, starting in the Philippines.
We combine global fintech expertise with deep local market knowledge to make financial services simple, accessible, and useful for millions of people across the region.
7M+ app downloads. 2M+ monthly active users. 7,000+ partner stores. US$310M+ raised from leading global investors.
Manila-based, globally distributed, and hybrid-first — our team spans 45+ countries.
If you want to solve complex problems at scale and impact how millions of people access and manage money, come build with us.
Southeast Asia's fintech moment starts here.
About the role
You'll build and own the data pipelines and lakehouse architecture that turn raw data into reliable inputs powering products used by millions of people.
What you'll do
- Design and run batch and streaming pipelines on Databricks and Apache Spark over AWS, ingesting from databases, APIs, and event streams.
- Shape our lakehouse architecture on S3 and Delta Lake, including medallion (Bronze / Silver / Gold) layering and storage optimization.
- Work directly with analytics, engineering, and product teams to turn raw data into reliable, usable inputs for the business.
What you'll own
- Own projects end to end — from stakeholder alignment and design review through implementation, launch, and ongoing support.
- Build self-service data solutions that let other teams deliver their own data needs, designed to scale and extend easily as new sources and use cases are added.
- Build and maintain scalable ETL/ELT pipelines that are fault-tolerant and cost-optimized.
- Optimize Spark jobs end to end — cluster sizing, caching, joins, shuffles, partitioning, and storage formats (Parquet, Delta).
- Manage Databricks Workflows, jobs, cluster configurations, and the underlying infrastructure — security policies, resources, and access — responding to failures and performance issues.
- Implement data governance and access control with Unity Catalog across accounts and environments, including handling of PII.
What makes you a strong fit
- Hands-on experience with Databricks and strong proficiency in Apache Spark (PySpark and/or Scala).
- Strong Python for data engineering, plus SQL and Spark SQL for transformation and analytics.
- Experience with Delta Lake and lakehouse architectures, including performance optimization.
- Proven ownership — you've run projects where you knew the weak points, gathered feedback, and made your solutions easy to scale and maintain.
- Experience writing clean, testable, maintainable code with Git-based version control.
- Experience with infrastructure-as-code such as Terraform or Ansible is a plus — not required, and easy to pick up on the job.
What we offer
Build what's next in Southeast Asian fintech.
Ownership and flexibility
- Stock option plan — four-year vesting with a 25% cliff after the first year
- Hybrid-first, with fully remote work available for eligible roles and core collaboration hours from 12:00 to 19:00 Manila time (UTC+8)
- Company-provided tools and equipment
- Office in Bonifacio Global City, Manila — a modern, walkable district at the centre of the Philippines' growing tech scene
Health and time off
- Medical insurance support for you and your family through co-funding or reimbursement, depending on your location and subject to policy limits
- Access to an internal mental health support specialist
- 22 vacation days, Philippine public holidays, and 15 sick days
- 105 days of paid maternity leave and up to 14 days of paid paternity leave for employees relocating to Manila
Relocation and family support
- Relocation support for you, your family — including flights, two weeks of accommodation, visas, paperwork, and logistics
- Reimbursement of eligible pet relocation expenses
- US$2,500 per year for flights home
- Baby and family stipends for employees relocating to Manila: US$1,000 per month for each child under two and US$500 per month for each child aged two to 18
Growth and team experience
- Opportunities to learn and share your expertise through internal expert meetups, external conferences, speaking opportunities, and industry publications
- Company-sponsored trips to Manila to meet and work with your team in person
- Regular team offsites, sports activities, and team events
- High-performing teams can earn a dedicated beach house week in Southeast Asia
Considering a move to Manila? See what life with Salmon looks like https://www.youtube.com/watch?v=nYQLKhuZHIE&t=34s
Location: New York; Canada; United States
Workplace: Remote
WHO ARE WE?
Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems.
We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that.
We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft.
We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us!
Why this role?
We're building the foundational infrastructure that will define how the world thinks about and deploys AI, and we want the sharpest, most curious people to help us do it. As a member of our Analytics & Data Insights team, you'll tackle the kind of problems that don't have textbook answers yet, launch products that didn't exist a year ago, and help enterprises understand what foundational AI actually means for their bottom line.
As a Data Engineer, you will:
- Work directly on new customer experiences built on one of the most advanced AI systems in the world
- Collaborate daily with researchers and engineers who are some of the best in the world at what they do
- Run implementations end-to-end and see initiatives through to real outcomes
- Partner across research, marketing, sales, and finance to help define how Cohere grows, with your recommendations feeding directly into products and strategy
You may be a good fit if you have:
- 5+ years of experience working on production-grade data processing systems
- Strong command of Python and SQL
- Experience with distributed data processing frameworks such as Apache Beam, Spark, or Flink, alongside large-scale data system design
- The ability to transform unstructured data into performant datasets in relational databases and blob storage
- Familiarity with modern analytics stack tooling such as BigQuery, Airflow, or dbt
- Knowledge of Java or Golang (nice to have)
- Experience with Kubernetes (nice to have)
- Genuine excitement about AI - you follow the research, have opinions, and enjoy being in the weeds
- Comfort operating at the edge of what's known, with a desire to build something genuinely new rather than optimise what already exists
FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS:
- A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch.
- Full health and dental benefits, including a separate budget for mental health.
- RRSP matching, 401K, Pension Scheme.
- 100% Parental Leave top-up for up to 6 months, for either parent.
- Annual enrichment benefits:
Arts & culture, fitness/wellness, quality time, and a workspace improvement credit.
Education & learning stipend for conferences, courses, and coaching.
- 6 weeks of paid vacation (30 working days!)
- Budget for traveling to other offices if you are remote, plus an annual company offsite.
HOW AND WHERE WE WORK:
- Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon.
- For those in the office: a daily lunch program, plenty of snacks, and regular community and social events.
- For those not near an office: a co-working benefit so you can work alongside others in your city.
- Everyone receives a $500 home office stipend to set up your workspace properly.
If any of the above doesn’t line up exactly with your experience, we still encourage you to apply.
We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs.
We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider.
Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.
New York City, NY
seniorDallas, Texas
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Настройте подбор, и подходящие вакансии будут приходить в Telegram.
ГибридСтажёрSan Francisco, California; New York, New York
ГибридСтажёрSan Francisco, California; New York, New York
seniorBangalore, India
УдалённоВеликобритания, США; This role is fully remote; however, we’re only open to candidates based in the US, EU and UK; We strongly encourage candidates of all backgrounds to apply
УдалённоEngland; United States
УдалённоseniorEngland; United States
ОфисSan Francisco, CA
ГибридleadLisbon
ОфисEspoo
ГибридKazakhstan; Kyrgyzstan; Uzbekistan; Hybrid-first, with fully remote work available for eligible roles and core collaboration hours from 12:00 to 19:00 Manila time (UTC+8); Relocation and family support; Relocation support for you, your family — including flights, two weeks of accommodation, visas, paperwork, and logistics; Reimbursement of eligible pet relocation expenses