Location: San Francisco, CA | New York City, NY | Seattle, WA
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
Anthropic trains and serves frontier AI models on some of the largest and most diverse accelerator fleets in the world, and the hardware those models run on is one of the most direct levers we have on capability, cost, and reliability. Our Hardware Systems team owns the system-level architecture of that compute — from the package boundary out through boards, racks, interconnect, power, cooling, and the datacenter interface.
We're hiring senior hardware systems architects and technical leads who can work broadly across the hardware stack and go deep where it's needed, and who have the judgment to make and own directional calls — what to build, what to buy, what to co-design with a partner. You'll set architecture, write the specs that partners and internal teams build against, and own the validation and qualification strategy that proves the result.
The skillsets we need span power, cooling, mechanical, interconnect, signal integrity, data and control plane, system management, reliability and serviceability — applied across networking, compute, storage, and accelerator systems.
You'll work closely with our ML performance, infrastructure software, supply chain, and datacenter teams, and directly with hardware vendors and partners across the stack. And because this is Anthropic, you'll have Claude as a genuine collaborator — we expect this team to push on what AI-assisted hardware design and review can look like.
Key responsibilities
Own system path-finding and architecture for your domain across the breadth of compute Anthropic deploys — from concept and requirements through spec, design review, and deployment — and act as a reviewer and thought partner across the others.
Write and own high-level requirements and specifications — system, board, interface, rack — that partners and internal teams build against.
Review partner and vendor designs against our requirements, make the build / buy / co-design calls with supply chain and partnership teams, and surface misalignment or schedule risk early enough to act on it.
Drive the interconnect and networking architecture that ties our systems together — scale-up and scale-out fabrics, NICs and switches, optics, and topology.
Drive board-, chassis-, and system-level architecture with our partners — major component placement, PCB architecture, connector and cable design, and power and thermal budgeting — at the chassis, rack, and data-hall level.
Develop performance simulations, hardware models, and "what-if" scenarios to evaluate and choose between candidate hardware architectures.
Define validation, bring-up, and qualification strategy for new platforms — including the telemetry and reliability targets they need to hit in the fleet — and track the technology roadmaps and vendor landscape that shape what we deploy in the short and long term.
Partner with ML performance and infrastructure software teams so hardware decisions land well for the workloads that actually run on them.
Help shape how hardware engineering operates at Anthropic — develop and apply AI-assisted approaches to design, spec review, and validation; establish review forums, spec standards, and partner engagement.
Minimum qualifications
Deep, hands-on expertise in at least one core hardware-systems domain (e.g., interconnect, power, thermal) for large-scale compute or networking systems.
Experience owning hardware system architecture at scale — machine, rack, row, and cluster — and authoring specifications and requirements.
Experience taking hardware from architecture through bring-up and high-volume production deployment.
Experience working with external hardware vendors and partners — reviewing their designs and holding them to a specification.
Ability to reason about trade-offs across adjacent hardware domains (e.g., interconnect ↔ power ↔ thermal ↔ mechanical) rather than within a single one.
Track record of technical leadership — owning directional decisions and their consequences, and driving alignment across teams and partners.
Comfort operating with high autonomy and limited process in a fast-moving, ambiguous environment.
Strong written communication — you'll write specs and reviews that many teams depend on.
Preferred qualifications
8+ years in hardware systems architecture or engineering for hyperscale, HPC, AI/ML, or high-end networking platforms.
Experience with AI accelerator systems (GPU, TPU, or other custom ASIC platforms) and their scale-up / scale-out fabrics.
Familiarity with the chip-package-system interface and co-design.
Experience establishing a new function, program, or engineering practice.
Comfort working with — and curiosity about pushing — AI tools as part of an engineering workflow.
Degree in EE, CE, ME, CS, or a related field, or equivalent experience.
Depth in one or more of:
High-speed SerDes, PCIe/CXL, Ethernet/InfiniBand, and optical interconnect.
BMC and platform firmware, hardware root of trust, and secure boot.
48V/HVDC power delivery and direct liquid cooling.
Fleet-scale reliability engineering and RAS architecture.
Signal and power integrity.
Representative projects
Define the scale-up and scale-out interconnect architecture for a next-generation training platform, from link budget and topology through switch / NIC / optics selection and the bring-up and validation plan.
Architect the management and control plane for a new hardware system: BMC and host control, power / reset sequencing, secure boot and attestation, and the telemetry surface the fleet needs.
Own the rack-level power and thermal architecture for a liquid-cooled accelerator rack, and the interface spec between that rack and the datacenter that hosts it.
Build the reliability model and RAS strategy for a multi-thousand-node fleet — failure budgets, derating policy, telemetry requirements, and serviceability targets — and drive the design changes that hit them.
Run the technical evaluation of a partner's proposed system design against our requirements, write up where it falls short, and drive the changes end to end.
Prototype an AI-assisted workflow for partner design review and spec consistency checking, and put it to work on a live platform.
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.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
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.
San Francisco, CA | New York City, NY | Seattle, WA
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
As an AV Production Specialist, you'll own the day-to-day operation of the event technology behind how Anthropic communicates — the all-hands, the executive presentations, the live broadcasts. You are the owner of these productions: accountable for their technical outcome from the moment a request arrives through to the follow-up after the room clears, and the technical partner our executives, events team, and communications partners rely on to make them land.
This is an operations role with engineering depth behind it. You'll work across the same technology stack as our broadcast engineering practice with your center of gravity in execution and service. You'll keep our event spaces in a state of readiness through preventative maintenance, and be the calm, capable presence that executives, comms partners, and event producers learn to trust. Your work directly enables the collaboration and transparency that advance our AI safety mission.
Responsibilities
Live Event Production & Run-of-Show
Own the technical execution of live and hybrid events, from small executive presentations to company-wide all-hands broadcasts reaching thousands of participants
Serve as technical director for live productions across the full range, up to and including executive presentations and company-wide broadcasts Operate production systems during live events including video switchers, audio consoles, camera systems, playback, and streaming encoders
Build and run the technical run-of-show: cue sheets, source lists, rehearsal schedules, and backup plans
Direct contractors and onsite technicians during productions, delegating clearly under time pressure
Troubleshoot and escalate complex production issues with clear diagnostic context
Communicate status, risk, and resolution to non-technical stakeholders in clear, calm, jargon-free language
Handle confidentiality and access requirements for sensitive sessions, including recording and streaming controls
Event Intake, Scoping & Scheduling
Own the event technology intake process end-to-end: request triage, technical scoping conversations, and staffing
Right-size production approach to event type, translating stakeholder goals into an equipment and staffing plan that fits the constraints and scope of our team’s SLA
Take on genuinely novel events and leave a repeatable standard behind — a template, runbook, or gear list that makes the next one easier than the first and repeatable by the team
Maintain the event technology calendar and coordinate coverage across the AV Operations team
Partner with Events, Internal Communications, and Workplace teams on lead times, expectations, and readiness
Support Operations & Room Health
Execute preventative maintenance programs and recurring room sweeps across event spaces and conference rooms
Maintain and test inventory of equipment including wireless microphones, cameras, and portable production gear pre event, following event production framework
Contribute to runbooks, standard operating procedures, and knowledge base documentation
Surface recurring operational pain points to AV Engineering as candidates for systemic fixes
You May Be a Good Fit If You:
Have 8+ years of hands-on experience in AV operations, live event production, or technical event support
Have owned the technical side of live productions end-to-end — not just operated a single position
Bring working fluency across event audio, video, camera, and streaming systems, with enough depth to diagnose problems rather than only report them
Are energized rather than drained by being the front-facing technical partner to executives and event producers
Bring structure to ambiguity by building systems for repeatable events
Strong Candidates May Also Have:
Technical direction for corporate broadcasts, conferences, or multi-camera productions
Q-SYS DSP platform, including reading and reasoning about existing audio/video routing and control designs
PTZ and professional camera systems, camera control units, and multi-camera workflows
Video conferencing platforms and hardware including Google Meet, Zoom Rooms, and hybrid meeting technologies
Live streaming workflows including encoders and encoding settings, contribution and delivery protocols (RTMP, SRT, HLS)
Network fundamentals for AV-over-IP including multicast, VLANs, QoS, and bandwidth management
Ticketing and workflow systems such as Jira, and building intake or request workflows within them
Coordinating AV contractors, integrators, and labor for event coverage
Role Specific Location Policy:
This role will be based in our San Francisco HQ
This role is expected to be in office 5 days per week
Occasional evening and early-morning coverage is expected around major events
4-6 weeks of travel annually will be expected for this role for distributed event support as needed
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.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
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: Remote - United States
Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit
www.redditinc.com
.
The Messaging Infra team is looking to hire a Senior Software Engineer who is excited to solve large scale streaming infrastructure and distributed messaging infrastructure problems.
Reddit’s mission is to bring community and belonging to everyone in the world. Reddit is a community of communities where people can dive into anything through experiences built around their interests, hobbies, and passions. With more than 50 million people visiting 100,000+ communities daily, it is home to the most open and authentic conversations on the internet. From pets to parenting, skincare to stocks, there’s a community for everybody on Reddit. For more information, visit redditinc.com.
Our messaging layer receives 50+ millions of messages/second serving 100GB/s of network traffic. We do this while efficiently storing over a petabyte of live topic data across ~1k brokers. As a senior engineer, you will partner closely with your team and our biggest users (ML/AI/Search) to build technical solutions that can scale to Reddit’s product growth. You’ll do this while maintaining an extremely high availability and reliability bar to ensure that Reddit’s users continue to get a great experience across our entire product portfolio.
In your day-to-day, you can expect to:
Contribute to developing the team and organization’s long term technical strategy.
Refine and maintain our messaging infrastructure to support the asynchronous communication of services supporting hundreds of millions of users.
Own the infrastructure (managed and self-hosted) that supports produce and consume requests along with the necessary tooling and automation to efficiently operate the infrastructure.
Who you might be:
5+ years of experience building internet-scale software, preferably with a focus on machine learning storage infrastructure.
Software development experience in one or more general purpose programming languages; Golang, Python, C++, Java
Experience working closely with technologies like Kafka, and Kubernetes. Strimzi is a huge plus!
Hands-on experience implementing features, optimizations, and bug fixes to distributed messaging systems.
Excellent communication skills to collaborate with stakeholders in engineering, data science, machine learning, and product.
Degree in Computer Science or equivalent technical field.
Benefits:
Comprehensive Healthcare Benefits and Income Replacement Programs
401k with Employer Match
Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
Family Planning Support
Gender-Affirming Care
Mental Health & Coaching Benefits
Flexible Vacation & Paid Volunteer Time Off
Generous Paid Parental Leave
#LI-Remote
Pay Transparency:
This job posting may span more than one career level.
In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit
https://www.redditinc.com/careers/
.
To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below.
The base salary range for this position is:
$190,800
—
$267,100 USD
In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews.
During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable. We will not sell your personal information or disclose it to any third party for their marketing purposes. We will delete any recording of your interview promptly after making a hiring decision. For more information about how we will handle your personal information, including our retention of it, please refer to our
Candidate Privacy Policy for Potential Employees and Contractors
.
Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve. Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.
Location: San Francisco, CA | New York City, NY
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the Team
Foragers is a new Field Services team within our physical infrastructure organization. We're the boots on the ground for Anthropic's physical infrastructure: the people who get hardware into racks, gear commissioned, and sites handed over. The team is being stood up now, so early hires shape how we operate. This role is the lab-focused counterpart to our traveling field engineers. Instead of covering sites across the country, you own our Bay Area hardware labs from end to end.
About the Role
Your mission is to ensure our hardware labs are functional, useful, and ready to support the growing number of teams and projects that need access to physical hardware. You’d own what shows up, how it’s powered, cooled, cabled, tracked, set up, and made functional. This includes both standard hardware (think typical accelerator setups) and more specialized ones like ensuring our security teams have access to all the right headers and other hardware instrumentation on the machines.
Understanding and anticipating the needs of the various teams that rely on the labs will be another critical part of this role. You’ll be expected to take a lot of ownership and initiative over the lab and what’s in it, including reaching out to partner teams to figure out what they’d need in the future and making sure it’s there before it starts to block them. This will require you to collaborate closely with those partner teams, so a breadth of knowledge around hardware is extremely useful.
You’d be the first dedicated lab manager, so part of this role will include shaping it to scale from our current lab to much larger ones.
What You’ll Do
Run the physical lab across both sites: receiving and staging, rack-and-stack, cabling, power distribution and load planning, cooling, floor layout
Bring up new server and accelerator platforms as they arrive, from crate to a machine someone can SSH into: firmware and BIOS/UEFI setup, out-of-band management, OS install, network provisioning
Own hardware procurement for the lab: work with teams on what's coming, order ahead of need, chase quotes and lead times, keep receiving and inventory in order
Own RMA processes end-to-end for lab hardware: triage, swap, ship, track, close; drive vendor escalations
Build the one-off setups engineers ask for: debug and programming harnesses (JTAG/SWD/UART), remote power switching, console and KVM access, and the occasional improvised fix for hardware running outside the conditions it was designed for
Oversee smarthands and contractor work on-site (electricians, cabling crews, riggers, integrators, OEM field engineers): scope it, dispatch it, validate the quality
Handle physical access, asset auditing, and lifecycle tracking for hardware that is expensive and sometimes pre-release
Write it down: build the playbooks and lightweight tooling (inventory, remote power, console access) so remote teams can use the lab without pinging you for every step
Who You Are
Hands-on experience running a hardware, systems, or datacenter lab, or a similar physical compute environment: rack-and-stack, copper and fiber cabling, power distribution (PDUs, circuits, phase balancing)
Working knowledge of server hardware and its management plane: BMC/IPMI/Redfish, BIOS/UEFI configuration, serial console, PXE/network boot, firmware updates
Enough Linux and networking (VLANs, DHCP, DNS, basic switch config) to take a bare machine to a state a remote engineer can use
Have managed vendors, contractors, quotes, and freight for physical equipment
Comfortable and safe with power tools, bench power supplies, and a wiring or rack elevation diagram
Work independently with minimal supervision , and know when to ask
Bias toward action and comfort with ambiguity: you'd rather move and adjust than wait for perfect information
Communicate clearly and directly, especially when flagging risks or blockers
Strong Candidates May Also Have
Stood up a lab or datacenter room from empty: layout, power and cooling budget, first round of purchasing
Time around high-density accelerator systems (GPU/TPU-class racks), liquid cooling, or pre-release/NPI hardware bring-up
Electronics bench skills: soldering and rework, scope and multimeter, custom cable and debug harnesses, JTAG probes, light fabrication (3D printing, drilling, mounting)
Supported hardware security, firmware, or platform bring-up work
Experience with DCIM or asset-management tooling (NetBox, ServiceNow, etc.)
Bought hard-to-source or specialty hardware and dealt with the compliance and logistics that come with it
Location
This role is based in our San Francisco office (500 Howard St). Travel to nearby lab spaces is required so expect to be in-office more frequently than Anthropic's standard 25% hybrid baseline.
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
—
$405,000 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.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
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, CA | New York City, NY
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
Anthropic is looking for an Engineering Manager to lead the Search Platform team. This team builds the search stack behind Claude: the indexes, retrieval and ranking systems and serving infrastructure that power web search across
claude.ai
, the API and agentic surfaces.
Search is core to how Claude answers questions about the world, and the team owns both the problem and the solution end to end: growing the index, improving retrieval quality and running the serving stack at production scale. The same platform also serves research workloads, so demand comes from multiple user surfaces, often at the same time.
The role carries a product dimension. Search sits close to the user experience and PM coverage is thin at times, so often the EM helps decide what a good search experience looks like, not just how to build it. You'll partner with product teams shipping search-backed features, research teams that depend on retrieval quality and capacity, and the infrastructure teams that run the systems underneath.
We're looking for someone with real search experience who can be hands-on when needed: reviewing designs, digging into relevance regressions and holding their own in technical debates.
Key Responsibilities
Lead and grow the team of engineers building Anthropic's search platform: indexing, retrieval, ranking and serving
Own the strategy and roadmap for the platform and how Claude's search needs are met over time
Own search quality: evaluation methodology, relevance measurement, regression detection and the ranking improvements they drive
Operate the platform at scale, balancing product traffic against research and training demand while holding a high bar on reliability, latency and cost
Wear the product hat when the work calls for it: prioritize what the search experience needs, sequence launches and represent search in product discussions
Drive cross-team collaboration with product, research and infrastructure partners; articulate dependencies, risks and progress clearly
Be hands-on where it matters: design reviews, incident follow-ups and the occasional deep dive into why relevance moved
Recruit, close and retain strong engineers in a competitive market
Minimum Qualifications
Significant experience managing engineering teams, including hiring and growing a team through rapid change
Direct experience building or operating search systems at scale: indexing, retrieval, ranking or query serving
Enough technical depth to be hands-on when needed; you can review designs, read code and engage credibly with senior ICs
A product mindset and comfort making product calls when there isn't a PM in the room
A track record of running high-scale, latency-sensitive production systems with real reliability requirements
Strong cross-functional skills; you can align product, research and infrastructure partners with different priorities
Experience recruiting and closing senior engineers
Interest in AI safety and Anthropic's mission
Preferred Qualifications
Experience with the economics of search: index freshness, storage and serving costs, quality vs cost tradeoffs
Background in embeddings, ranking models or ML-based retrieval
Experience migrating traffic off a vendor onto in-house infrastructure
Exposure to LLM products and the retrieval demands of large-scale training and inference
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
—
$405,000 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.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
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: India
ABOUT THE ROLE
Human Archive (YC W26) is hiring someone to lead our end-to-end data annotation operations.
You will work directly with the founder to build and manage a high-performing annotator workforce for robotics data. Your job is to ensure we consistently have the right people, quality, and throughput across multiple projects running simultaneously.
This is a highly hands-on role for someone who is excellent with people, metrics, and fast-moving operations.
WHAT YOU WILL DO
- Recruit, evaluate, and manage high-quality data annotators
- Maintain a high bar for annotation quality and workforce performance
- Allocate annotators across multiple simultaneous projects
- Track daily throughput, quality, attendance, utilisation, and project targets
- Build dashboards and operating systems with our engineering team
- Identify bottlenecks and improve annotation workflows
- Design incentives that help teams consistently meet daily targets
- Forecast staffing requirements for upcoming projects
- Manage team leads and resolve day-to-day operational issues
- Build processes that can scale from hundreds to thousands of annotators
WHO WE ARE LOOKING FOR
- Extremely good with people and frontline teams
- Strong analytical ability and comfort with metrics and dashboards
- Excellent at prioritisation and resource allocation
- Highly organised and able to manage multiple projects at once
- Creative about incentives, hiring, performance, and operations
- Clear, direct, and fast communicator
- High ownership, energy, urgency, and agency
- Comfortable working in a demanding, fast-changing startup environment
Experience at companies such as Surge AI, Scale AI, Mercor, Turing, Outlier, Remotasks, or similar workforce and data-operations businesses is a strong advantage.
We care more about your ability to execute than your degree, credentials, or years of experience.
LOCATION
On-site in Bangalore.
Location: India
ABOUT HUMAN ARCHIVE
Human Archive is a research lab focused on modeling human embodied intelligence.
Humans are the most sophisticated biological systems we have ever observed, yet we still do not fully understand ourselves. Research into human physical intelligence — including the human hand, proprioception, and vision — remains largely unsolved. Our mission is to recover human embodied intelligence as a learned model. To achieve this, we build custom hardware products, deploy them globally at scale, and publish research. Today, our data is used for robotics and world modeling, but the broader opportunity is advancing scientific research into intelligence itself.
Founded by Stanford and UC Berkeley researchers, we are lean, deeply technical, and operate at extreme speed, taking on unglamorous and conventionally impossible problems that directly unlock step-function gains in model capability.
The deployment of capable humanoids at scale will permanently redefine human labor. Undesirable physical work will disappear, and human effort will shift toward a new era of abundant creativity.
We are building the infrastructure to accelerate that transition by assembling the Human Archive mafia. You will own meaningful systems from day one and see your work directly impact model capabilities. This is a once-in-a-generation inflection point. If you want to help reshape physical labor and work on problems that matter at civilizational scale, join us.
THE OPPORTUNITY
This role is ideal for someone early in their career (1–5 years of experience, or an exceptional dropout) who wants real operational ownership, not a rotational apprenticeship. You’ll work closely with the co-founders and Head of Operations in a high-trust role at the center of execution at Human Archive.
You will own the end-to-end lifecycle of field operations globally, including sourcing and structuring partnerships to unlock access to real-world labor environments, deploying and supporting field teams, and ensuring clean data offload, audit, and closure. Your mandate is to turn site access into reliable, repeatable, high-velocity data collection, even in messy, real-world conditions.
You will build and run core operating systems: coordinating site readiness, managing kits and logistics, leading large field teams during on-site execution, and enforcing post-site workflows that guarantee data quality and operational closure. This is a hands-on execution role: you’ll plan, but you’ll also be on the ground supporting field teams, unblocking hardware and deployment issues, tightening processes, and making sure things actually get done.
WHAT YOU’LL DO
- Source and manage deployment partnerships globally
- Own field operations from site readiness through post-site closure
- Lead field teams and ensure reliable execution during deployments
- Run high-velocity data collection campaigns under real-world constraints
- Work directly with sensing hardware, deployment kits, upload systems, and offloading workflows
- Troubleshoot hardware, deployment, and operational issues in the field
- Improve operational systems across deployments, audits, inventory, and payouts
- Work closely with hardware, software, and operations teams during deployments
WHAT WE’RE LOOKING FOR
- Strong execution ability and willingness to take ownership in fast-moving environments
- Ability to manage deployments and field teams under real-world constraints
- Strong technical intuition and comfort working directly with hardware and operational tooling
- Strong communication skills and ability to make decisions quickly with limited information
- Highly resilient, resourceful, and comfortable solving difficult operational problems
- Prior experience in operations, logistics, consulting, marketplaces, field work, or startups is a plus
Location: India
Workplace: OnSite
ABOUT THE ROLE
Human Archive deploys cameras and other hardware for large-scale egocentric data collection.
We are setting up an internal mini dark store that will manage cameras, power banks, charging stations, cables, storage devices, and other equipment used by our field teams.
We are looking for someone to design the operating system for this facility and manage its day-to-day operations.
Location: Gurgaon
WHAT YOU WILL DO
- Set up and manage our hardware dark store
- Create systems for inventory tracking, storage, dispatch, and returns
- Issue cameras and equipment to field teams every morning
- Collect and reconcile all equipment at the end of the day
- Track which person has each device or accessory
- Ensure cameras, power banks, and other equipment are charged and ready
- Identify missing, damaged, or faulty equipment
- Maintain accurate daily inventory records
- Manage repairs, replacements, and procurement requirements
- Design processes that can scale as our operations grow
- Hire and manage additional store or inventory staff as required
WHO WE ARE LOOKING FOR
- Experience managing a dark store, warehouse, fulfilment centre, or inventory operation
- Strong operational discipline and attention to detail
- Comfortable working with physical hardware and high-volume daily dispatches
- Able to build simple, reliable systems from scratch
- Comfortable managing frontline teams and day-to-day operations
- Ownership mindset and willingness to work hands-on
Experience at companies such as Blinkit, Zepto, Instamart, Swiggy, Amazon, Flipkart, Delhivery, or similar operations-driven businesses is a strong advantage.
ABOUT HUMAN ARCHIVE
Human Archive is a research lab focused on modeling human embodied intelligence.
Humans are the most sophisticated biological systems we have ever observed, yet we still do not fully understand ourselves. Research into human physical intelligence — including the human hand, proprioception, and vision — remains largely unsolved. Our mission is to recover human embodied intelligence as a learned model. To achieve this, we build custom hardware products, deploy them globally at scale, and publish research. Today, our data is used for robotics and world modeling, but the broader opportunity is advancing scientific research into intelligence itself.
Founded by Stanford and UC Berkeley researchers, we are lean, deeply technical, and operate at extreme speed, taking on unglamorous and conventionally impossible problems that directly unlock step-function gains in model capability.
The deployment of capable humanoids at scale will permanently redefine human labor. Undesirable physical work will disappear, and human effort will shift toward a new era of abundant creativity.
We are building the infrastructure to accelerate that transition by assembling the Human Archive mafia. You will own meaningful systems from day one and see your work directly impact model capabilities. This is a once-in-a-generation inflection point. If you want to help reshape physical labor and work on problems that matter at civilizational scale, join us.
Location: Paris, France
Workplace: Hybrid
HEALTH CAN’T WAIT.
Not for symptoms to get worse. Not for a six‑month appointment. Not for a system to catch up. But that’s exactly how healthcare works today. You wait, until you can’t.
Alan exists to end the wait.
Health is a universal right, and we believe this right can only become real when it’s coupled with prevention. We need to stop treating health as something we repair and start treating it as something we build, every day. It’s not solely a question of willpower. It’s the healthcare system itself that needs to work for everyone, in a sustainable way.
So we are building the new standard in prevention insurance. Alan is the first company that integrates insurance, prevention, and care into a single, acclaimed user experience.
We are on an incredible journey to build a global leading company, with a unique culture https://alan.com/en/careers. We already partner with 40K+ companies of all sizes, serving more than 1M+ members, and have reached €800M+ in ARR.
Prevention as the new norm. That's what we're building with our team of 1000+ people. If it speaks to you: we're hiring across France, Spain, Belgium, and Canada. And beyond.
People joining Alan are often surprised and delighted by our innovative working method. We have a set of cultural values https://alan.com/about/company-culture that guide our approach to work, such as:
🎯 What drives us — We're obsessed with helping our members live healthier
Mission is the Boss: long-term thinking, seeking our mission success above all else.
Member & customer-led: obsessively focused on solving members & customers problems and creating the most delightful experiences.
🏆 How we build excellence — We hire the best people and give them platform to succeed
Champions of excellence: extremely high standards and talent density.
Distributed ownership: accountable enlightened despots, everyone owns their decisions and results.
Radically transparent: all information is accessible and written-first, so everyone can make the best decisions asynchronously
🤝 How we grow together — We help each other improve through honest feedback and bold thinking
Optimistic alchemy: optimists who collaborate with genuine care and support teammates.
Empathetic challengers: direct, caring feedback combined with praises to help each other grow professionally
Bold & creative contrarians: think differently to achieve greatness, try new approaches
⚡ How we move fast — We fight complexity and focus on what matters most
Disciplined in execution: taking decisive actions with focus that compounds success over time
Fight for simplicity: only high impact processes, smart frugality
💡 THE MISSIONS
Alan has grown to nearly 900 Alaners, with close to 300 hires completed in H1 2026 alone.
The Workplace team is the engine behind the experience Alaners have every day — from their first day to the daily rhythm of office life. As the company scales, we need to scale with it and enhancing Alaners' experience wherever they work from, whether through the operational backbone of the office (vendors, procurement, RSE).
The role will be affected to a single contract: Workplace Experience.
While this profile comes with a clear focus area from the start, scopes are designed to evolve within the team, giving real room to grow over time.
The positions is based in Paris and require an onsite presence at least 4 days per week.
Detailed missions
- Lead and support projects for the long-term improvement of our work environment as we grow
- Contribute to Alan's growth through building and running scalable processes and documentation, leveraging data, AI and automation
- Manage external providers and stakeholders: contractualization, invoicing, performance monitoring, tenders
- Create and maintain secure, safe and comfortable work environments for all Alaners, in line with our Healthy Business positioning
- Interact daily with cross-functional teams:
- People — culture, onboarding and offboarding, perks, analytics, labor law
- IT — facilities, network, room equipment, process automation, analytics
- Security — office and work environment safety policies, crisis reaction
- Finance — budget monitoring, taxes, invoicing, cost optimization
- Legal — compliance, agreements
- Contribute to the "on-call" rotation (daily run Office Management tasks)
👀 MORE SPECIFICITIES ON THE PROFILE WE'RE LOOKING FOR (LEVEL RANGE TARGETED ON OUR LEVEL GRID: B0-B1)
Specific missions
- Run day-to-day office operations at Valmy — our Paris HQ: office tours, maintenance follow-up, supply and equipment management
- Manage and challenge the full vendor portfolio: onboarding, performance monitoring, contract tracking, invoicing, RFPs
- Own office procurement: purchases, budget tracking, cost optimization, reporting
- Lead Alan's RSE (Corporate Social Responsibility) approach: audit current practices, benchmark comparable organizations, build a prioritized action plan and drive concrete initiatives
Key outcomes by 1 year
- Office operations at Valmy are running smoothly and reliably — daily rounds, maintenance follow-up and supply management are handled with no recurring gaps
- Vendor portfolio is documented and tracked: contracts, invoices and performance are monitored consistently
- Led at least two vendor reviews or benchmarking processes, produced clear findings and took corresponding decisions autonomously
- Led an RSE audit: assessed what exists at Alan, benchmarked comparable organizations, proposed a realistic and prioritized action plan, and launched at least 2 concrete actions
- Automated at least 3 manual or recurring tasks
You may be a great fit if you are:
- An Office Manager with 2–4 years of experience, with a procurement or vendor management dimension, from a scale-up or fast-growing company
- A Facilities coordinator who has managed multiple vendors simultaneously and owned budget lines
- An operational profile with concrete RSE delivery experience
🙌 PERKS & BENEFITS https://alan.com/about/life-at-alan/a/perks
At Alan, we believe that being in good health is a basic need, and it starts with our employees. This is why Alaners are provided with a stimulating environment and perks ensuring they are happy, efficient and spend only high-quality time with co-workers.
Therefore, we offer:
- All the tools you need. Top of the range equipment: Macbook Pro, keyboard, laptop stand, monitor, and Bose noise-canceling headphones.
- Flexible vacation policy and flexible working hours. Organize your time as you wish.
- Transport. Country-specific commuter benefits.
- Personal growth through coaching: At Alan, coaching isn't just a perk - it's core to who we are. Every Alaner is paired with a dedicated coach from day one, who helps maximize their impact, nurture engagement, and navigate Alan's values to develop their full potential. Learn more about our coaching culture https://alan.com/en/blog/discover-alan/a/alan-culture-excellence-through-coaching.
- Learning & Training opportunities. A highly flexible Training policy free books and budget to attend and speak at conferences if the opportunity arises.
- Fair rewards. Generous equity packages complement your base salary.
- Delightful healthcare insurance. Extremely comprehensive health insurance - 100% of the contribution covered by Alan for you and your family.
- Parental leave. Extended parental leave for all new parents.
IMPORTANT NOTE: WE HIRE PEOPLE, NOT ROLES.
If you're excited about this opportunity but don't check every box, we'd love to hear from you. Everyone, no matter how underrepresented, should feel free to apply as it can only bring learnings or success.
If you identify yourself as a woman: Did you know that research shows women often apply only when meeting 100% of requirements?
Remember, this is just a guide, not a checklist.
We'll be thrilled to receive your application!
🔖 Check out our About Alan https://alan.com/about and Career https://alan.com/careers pages, as well as our Medium https://medium.com/alan, blog https://blog.alan.com/ and Glassdoor page https://www.glassdoor.com/Overview/Working-at-Alan-EI_IE1696043.11,15.htm for more info.
Location: France - Remote
Who is Tenable?
Tenable® is the Exposure Management company. Over 40,000 organizations around the globe rely on Tenable to understand and reduce cyber risk. Our global employees support 65 percent of the Fortune 500, 50 percent of the Global 2000, and large government agencies. Come be part of our journey!
What makes Tenable such a great place to work?
Ask a member of our team and they’ll answer, “Our people!” We work together to build and innovate best-in-class cybersecurity solutions for our customers; all while creating a culture of belonging, respect, and excellence where we can be our best selves. When you’re part of our #OneTenable team, you can expect to partner with some of the most talented and passionate people in the industry, and have the support and resources you need to do work that truly matters. We deliver results that exceed expectations and we win together!
Your Role:
The Regional Sales Director is responsible for leading France & BeneLux sales teams of highly skilled, seasoned sales individuals. The Regional Sales Director will map the course, develop the vision, implement annual plans and is accountable for delivering measurable results that achieves and exceeds revenue and margin targets for 2026 and beyond.
Your Opportunity:
Act as the front-line manager for the French and BeneLux team.
Accurately manage, inspect and report in a predictable manner on all aspects of pipeline development and forecasts for the region.
Work closely with new as well as established channel partners to generate new business opportunities.
Develop go to market plan for your specific region.
Lead negotiations for large complex deals.
Work closely with leadership for other functions such as Sales Engineering, Channel, finance, legal, R&D and marketing to ensure efficient alignment to regional activities and to enable optimum sales performance.
Direct sales responsibility for accounts in the region and attain revenue goal for new product sales.
Initiate, establish and maintain contact with team members, prospects, clients, and partners within assigned territory.
Develop recommendations for growth, opportunities for growth, and key target accounts in the assigned territory.
Develop and maintain a complete knowledge of Tenable’s products.
Manage active field presence by traveling up to 50% of the time across the France and BeneLux regions to meet with clients, partners, and team members.
What You'll Need:
10+ years of senior level management experience of direct reports in a fast paced, highly competitive, ever-changing sales environment.
Min 6 years experience selling Security Products: Vulnerability Management, Continuous Monitoring, IDS/IPS, SIEM, DLP, Compliance, Encryption, access Management, Authentication, etc.
Strong knowledge and understanding on how to sell multi-product software solutions.
Strong working knowledge of MEDDPICC.
Focus on forecast quality and accuracy.
Minimum of 8+ years in quota carrying sales role with demonstrated success.
Extensive experience negotiating large complex deals with extremely complex terms, conditions, price pressures and considerations.
Proven track record working with channel and technology partners to build strategic and cooperative sales campaigns together.
Strong command of English and French.
History of coordination within an internal set of multi-functional teams such as Sales Engineers, Inside Reps, Field Marketing, Professional Services, and Channel Management to ensure target quotas as achieved and exceeded.
Reference-able domain expertise of the French and BeneLux region, accounts, decision makers and channel partner.
Be a coach to your direct team, as well as a keen interest in raising the bar in the entire team covering the region.
Willingness and ability to accommodate up to 50% travel for regional business needs.
#LI-AV1
#LI-Remote
This is the expected salary range for this position in the primary job location, depending on experience and qualifications. Compensation for the role will depend on a number of factors, including the candidate's qualifications, skills, competencies, location and experience, and may fall outside of the range shown. Employees are also eligible for variable compensation in addition to base pay (commission for sales roles, bonus for non-sales roles), depending on company and individual performance. Tenable also offers a variety of Competitive wellness and financial benefits.
EU Pay Range
€117.000
—
€156.333,33 EUR
We’re committed to promoting Equal Employment Opportunity (EEO) at Tenable - through all equal employment opportunity laws and regulations at the international, federal, state and local levels. If you need a reasonable accommodation due to a disability during the application or recruiting process, please contact
Recruiting@Tenable.com
for further assistance.
Tenable Data Consent Statement
Tenable is committed to protecting the privacy and security of your personal data. Depending on your location, one or more of the following notices may apply to you:
General Applicant Privacy Notice
California Applicant Privacy Notice
EU/EEA/UK Applicant Privacy Notice
We're looking for a Product Manager to own end-to-end mobile app - from product vision to hands-on delivery.
This is not a backlog-management role. You'll be the product owner with high autonomy, working as an individual contributor (no direct reports) and reporting directly to the Product Lead.
What you'll own
Vision → roadmap.
Shape the vision for our mobile app and break it down into an executable roadmap.
Product discovery.
Continuously uncover and validate user needs.
Hypotheses & experiments.
Design and run experiments, working hand-in-hand with marketing so the product always leaves room for marketing hypotheses.
Delivery.
Organize yourself and the team around shipping - you own the fact that features actually go live.
Data.
Make data-informed decisions and work fluently with metrics.
Prototyping.
Prototype fast and validate ideas cheaply.
AI workflows.
Optimize product and team processes with AI.
Mobile specifics.
Account for mobile B2C realities - store release cycles, retention, monetization, onboarding.
Must-haves
4+ years in product management, most of it in B2C mobile apps (EdTech a strong plus).
Sharp product discovery skills.
Data fluency and an experimental mindset.
Strong self- and team-organization for delivery.
Rapid prototyping.
Experience optimizing workflows with AI.
Solid understanding of mobile app specifics.
Nice to have
Strong UX/UI skills.
Strategic thinking.
What we value
Extreme ownership · Bias for action · Result-oriented · Systems thinking.
Why You’ll Love Working With Us
Meaningful product work:
You’ll help build scalable EdTech products that support real users and influence how people learn and grow.
Remote-first setup:
We’re a global remote team, with regular overlap for collaboration.
AI-enabled workflow:
We provide access to AI subscriptions and modern tools to help you work faster, automate routine tasks, and focus on higher-impact analytical work.
Health support:
We offer medical expense compensation.
Work-life balance:
You’ll have flexible paid time off, including 21 days of annual leave plus 10 bank holidays.
Collaborative culture:
You’ll work with product-minded, curious, and driven people who value ownership, clear communication, and data-driven decisions.
Hiring process
Intro call → Technical interview → Values interview → Product case (1 hour with the product team).
Location: Spain; United Kingdom
Workplace: remote
Help Us Build The Future of Travel
At Airalo, we're making it easier for people to stay connected wherever they travel. As the world's first eSIM store, we help millions of travelers access affordable mobile data in 200+ countries and regions around the world.
Today, we're a team of 400+ people across 60+ countries, building a product used by travelers every day. We've grown quickly, but we've worked hard to keep what matters: trust, ownership, and the freedom for people to do great work without unnecessary layers or bureaucracy.
We're fully remote by design, genuinely global, and united by a shared mission to make travel simpler for everyone.
Your Next Destination
Location: Remote, anywhere in Spain or the UK.
Contract:
Spain: Full-time, permanent contrato indefinido via Deel (our employer of record in Spain)
UK: Full-time, permanent
Benefits: Learn more about our benefits here in this link - https://airalo-public.notion.site/Benefits-25396a97ffca81fb9bc1f0be479f1be3?pvs=74
Languages: English is our main working language day to day, so you'll need to be comfortable communicating in it both in meetings and async.
Curious what it's actually like to work at Airalo? We've put together a guide for each of the hubs we hire from most, covering our benefits, remote culture, employment setup, and what our team values most:
Life at Airalo · España: https://airalo-public.notion.site/life-at-airalo-espana
Life at Airalo · United Kingdom: https://airalo-public.notion.site/life-at-airalo-united-kingdom
Airalo is looking for a Performance Marketing lead to drive app-first performance across the regions. You’ll lead end-to-end strategy and execution across key performance channels, scaling efficient growth while maintaining best-in-class campaign hygiene and measurement rigor.
You’ll work closely with Regional Directors to align on strategy, budget allocations, and priorities—this role requires strong collaboration and stakeholder management making a real impact on how we execute our Growth.
What you'll do:
Own UA growth strategy and execution for Airalo (app-first), where performance marketing is a primary lever.
Manage and optimize a $20M+ annual performance marketing budget, including forecasting, pacing, and scaling decisions, in close collaboration with Regional Directors to ensure alignment and confidence.
Lead Paid Performance Marketing across various channels (e.g., Social, Google UAC, and others at scale: oversee campaign architecture, audience strategy, bidding/optimization, and ongoing iteration to hit CPI/CPS and growth goals.
Own measurement and reporting: weekly performance reads, deep dives, and insights that translate into clear actions; strong understanding of iOS/mobile measurement nuances and constraints.
Maintain exceptional campaign hygiene: naming conventions, QA, structure, guardrails, geo/creative rotation, budget reallocation, and performance monitoring.
Partner cross-functionally with Regional Directors, Data Science, Creative Strategists, Influencer/Brand, Product, and external agencies to unlock incremental growth.
Present to senior leadership: deliver monthly executive-level business reviews for your regions, clearly communicating what’s working, what’s not, and what’s next.
What you'll bring:
7+ years in performance marketing / user acquisition for mobile apps, ideally in competitive categories or scaled environments (travel experience a plus).
Deep expertise in Meta and Google UAC (app acquisition), and any other relevant performance marketing channel, including creative testing at scale and structured optimization practices.
Experience managing large budgets (ideally $20M+ annually or comparable scale) with strong forecasting and pacing discipline.
Strong stakeholder management experience, comfortable partnering with Director/VP-level stakeholders.
Strong analytical skillset and fluency in performance KPIs (CPI, CPS, CVR, CTR, CAC, LTV).
Strong understanding of mobile attribution + iOS measurement realities (SKAN/privacy impacts, signal loss, incrementality thinking).
Extremely detail-oriented and loves being in-platform—campaign hygiene is a must-have.
Familiarity with tools like Adjust (or other MMPs), Looker, BigQuery, and experimentation/incrementality frameworks.
Why People Join Us
🇪🇸 Why people join us in Spain
We started Airalo to make staying connected effortless, wherever you are in the world. Today, millions of travelers rely on our eSIMs, and many of the people building the product were customers first.
Our team is united by a shared belief that great work happens when people are trusted to own what they do. As Airalo continues to grow, so do the opportunities to learn, take on new challenges, and make a real impact.
For many of our teammates in Spain, it's the combination of stability, flexibility, and genuine work-life balance that makes Airalo feel like home.
🇬🇧 Why people join us in the UK
We started Airalo to make staying connected effortless, wherever you are in the world. Today, millions of travelers rely on our eSIMs, and many of the people building the product first discovered us as customers.
Our team spans 60+ countries, but what people often notice quickly is how work actually feels here. There's trust to own what you do, space to focus without constant layers of process, and a clear sense of what you're responsible for from day one.
As Airalo continues to grow, people tend to stay for a mix of things: the chance to work on a product used globally, the autonomy to shape how they work, and the opportunity to keep taking on new challenges without getting stuck in one lane.
Before You Hit Apply
By applying, you acknowledge and agree that, in case of successful application, Airalo may request to run background checks as a condition for entering into an agreement with you. Rest assured that these checks will only occur upon your prior consent and at the end of the selection process, and will be strictly limited to what is allowed under the laws that are applicable to you. All data that you share or that we collect in connection with such checks will be processed in accordance with our Privacy Policy, available here: www.airalo.com/more-info/privacy-policy?srsltid=AfmBOooBT0rXAj1FaNelZ3VfN0wvhwzvAoxdtHnOKSVETpiSjiXVuycy
We sincerely thank all applicants in advance for submitting their interest in this opportunity. Airalo is an equal-opportunity employer and values diversity, equity & inclusion. We do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We are committed to providing reasonable accommodations upon request for individuals with disabilities throughout our job interview process.
At Airalo, we believe in roaming-free recruitment. Just as we provide clear connectivity for travelers, we provide clear salary ranges for our candidates. 🌍
📍 UK: £80,800 – £116,000
📍 Spain: €65,600 – €94,500
📍 UAE: 367,000 - 497,000 AED
Your Home Destination 🛫: Local market rates and cost of living vary, so your specific range depends on where you’re based. Most people join in the first half of the band, which leaves you plenty of room to grow, and you’ll see exactly how that looks from day one. In exceptional cases, where a candidate’s skills and experience clearly exceed what the role requires, we’re happy to talk about going higher. We’ll walk through your range together on your first call with our Talent team, so we’re all aligned for takeoff! 🎒✨
Location: Europe
We are toogeza, a Ukrainian recruiting company that is focused on hiring talents and building teams for tech startups worldwide. People make a difference in the big game, and we may help to find the right ones.
Currently, we are looking for an experienced Founder’s Associate to join one of toogeza’s clients - Zibra AI.
About Zibra AI
Zibra AI is the data infrastructure company for physical AI and 3D-heavy domains serving customers in Gaming, Film, and Industrial verticals. Customer logos span DNEG, Sony, NVIDIA, Tencent, and around 20 more. We're backed by leading investors including a16z.
We're now entering a major expansion phase: a large hiring plan is underway and the company will roughly double in size over the next 4- 6 months.
The role
You'll work directly with the founders and executive team as the operating engine of the Founders Office. This is not a classic execution-generalist role. Your core job is orchestration: making sure the projects that matter most to the founders — fundraising, strategic partnerships, key hires, flagship customer relationships — move forward on time, with the right people held accountable and nothing falling through the cracks. Think of it as program management for the company's most strategic work, combined with the research, analysis, and materials that power founder-level decisions.
What you'll do
- Drive strategic projects to completion. Own the tracking, cadence, and follow-through on founders-office initiatives across the company. You won't execute every workstream yourself — you'll make sure the owners do, and escalate early when things slip.
- Research and synthesis. Turn markets, competitors, customers, and data into crisp summaries and recommendations the founders can act on in minutes, not hours.
- Materials and decks. Prepare and polish investor decks, partner proposals, board updates, and internal strategy documents to a standard we'd put in front of a16z.
- Stakeholder relationships. Help the CEO maintain and develop relationships with key stakeholders — investors, strategic partners, and flagship customers: preparing for meetings, tracking commitments, and keeping follow-ups moving.
- Whatever the moment needs. In a company doubling in six months, the highest- leverage problem changes weekly. You'll go where the leverage is.
What we're looking for
- Extreme proactivity and ownership. You close loops without being chased, spot problems before they land, and act without waiting for instructions.
- Excellent project management. You can run multiple parallel workstreams involving senior people and keep all of them honest — politely, but relentlessly.
- Strong analytical and writing skills. You turn complex, messy information into clear, structured output — documents, models, one-pagers, decks.
- Judgement and discretion. You'll handle confidential information across fundraising, hiring, and partnerships, and represent the founders with investors and executives.
- 1–4 years in a fast-paced, high-accountability environment — consulting, banking, VC, or an operational/analytical role at a high-growth startup. Deep-tech or B2B infrastructure exposure is a plus, not a requirement.
Where this role goes
This position is designed to evolve. As the company scales 2x and the structure develops, the role can grow into Chief of Staff, Account Manager (owning key strategic accounts), or Product Owner, depending on your strengths and where the business needs leverage most. You'll have a front-row seat — and a hand on the wheel — as a deep-tech company scales through its steepest growth phase.
Why now
Zibra sits at the intersection of two compounding waves: the explosion of 3D and simulation data, and the rise of physical AI. The technical foundation is proven, the customer list is real, and the next six months will define the company's trajectory. You'll be in the room for all of it.
What’s next?
If this role sounds like a fit — we’d love to hear from you! Just send over your CV and anything else you’d like us to consider.
We’ll review everything within five working days, and if your background matches what we’re looking for, we’ll get in touch to set up a call and get to know each other better.
Location: Tbilisi, Georgia
About Wolt
At Wolt, we create technology that brings joy, simplicity and earnings to the neighborhoods of the world. In 2014 we started with delivery of restaurant food. Now we’re building the delivery of (almost) everything and you’ll find us in over 500 cities in 30 countries around the world. In 2022 we joined forces with DoorDash and together we keep on dreaming big and expanding across the globe.
Working at Wolt isn’t always easy, but it’s definitely exciting. Here you’ll learn more, build more, and ship more than in most other companies. You’ll be challenged a lot, but also have a lot of fun on the way. So, if you’re a self-starter with drive and entrepreneurial spirit, this could be the ride of your life.
Are you an experienced customer experience professional with leadership skills and a strong passion for being strategic and using insights to deliver exceptional service?
#WOLT-GEO-SA
Does leading support within one of Europe’s fastest-growing tech companies sound like your next adventure? If the answers to the questions are "yes" then keep reading!
Wolt is a Finnish technology company and we're best known for our delivery platform. On our mobile apps or website, customers can order their favorite meals from our restaurant partners. We launched in Georgia in April 2018 and have since then started conquering the food delivery scene in Tbilisi, Batumi, Rustavi and Kutaisi and other cities in Georgia.
As our team is growing, we're looking for a Support Manager to join our Shared Service Center team in Georgia! In our Support team there is no typical day. To be successful in this role you will need to be independent, customer-oriented, and have excellent interpersonal and relationship-building skills to provide best support to our Customers, Restaurants and Courier Partners. We are looking for someone who takes ownership beyond the obvious and who can take that extra step to support the team.
As our Support Manager you will lead our Shared Service Center team and inspire the high-quality standard of service that we provide to our customers and partners. With their excellent management skills, our Support Managers ensure that our Support Leads are running the operations between customers, restaurant partners and courier partners smoothly.
What you’ll be doing
Work together with the Head of Support and take full ownership of the experience and satisfaction of the customers and partners
Contribute to strategic initiatives and their execution in order to constantly improve the service proposition
Guide and coach the team in order to improve the associate’s performance, personal development and happiness
Implement new work procedures and features and encourage feedback around these
Analyze and optimize customer and partner touchpoints and look for patterns in incoming requests and workforce management to then put them into actions and improvements.
Together with the Content, Training and Quality team, develop the quality and content processes within the Support operations in line with the training operations
Collaborate closely with other teams to meet the needs of the customers and improve overall level of service.
Lead by example and show what customer-obsessed means: At Wolt, the Support Team knows that customer interactions serve a larger purpose than simply fixing problems. The Support Manager will lead by example and raise the bar for the way support is provided at Wolt.
Our humble expectations
You can formulate yourself very well, both verbally as well as in written form in English and Georgian.
You are customer obsessed and have experience in Customer Support or Customer Service.
You have 3-5 years of experience in leading a team, preferably leading a leadership team or other more senior team
You enjoy working together and leading a growing team, and making sure your colleagues always understand the purpose of what they do and what defines a great performance.
Multitasking is your strong suit and you’re prepared to manage multiple incoming interactions simultaneously, and effortlessly determine which to prioritise.
You are able to translate data into actions and make the rest of the core team understand how Customer Support is progressing, so you need to have good Excel skills.
You have a can-do attitude and are ready to roll up your sleeves and get to work in a fast-paced startup environment.
You have strong presentational skills and proficiency in Office tools
Any trainings or experience in people or project management are an advantage
A degree in Business Administration is a strong plus!
Next steps
If you are excited about working in a high-growth environment, taking ownership, and being part of an extremely ambitious team, then click below to apply and get the conversation going!
We will be reviewing applications on an on-going basis, so if this sounds like an opportunity you want to pursue, apply today!
Our Commitment to Diversity and Inclusion
We’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel.
Beware of recruitment scams: DoorDash, Deliveroo, and Wolt will never ask you to pay money or share sensitive financial information during hiring — learn more about our legitimate recruiting process at
Recruitment Scam Awareness - DoorDash
.
Location: San Francisco, CA | Seattle, WA
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 seeking a Director, Technical Accounting – M&A to join our Finance team at Anthropic. In this role, you will support the company's accounting for mergers, acquisitions, strategic investments, and other complex capital transactions. You will report to the Senior Director, Technical Accounting – M&A
As Anthropic continues to scale rapidly and deploy capital into acquisitions, strategic investments, joint ventures, and novel commercial structures, you will be a key technical resource on structuring alternatives, consolidation outcomes, and financial statement impact. You will partner closely with Corporate Development, Legal, Tax, Treasury, FP&A, and leadership to ensure that deal economics are accurately reflected under US GAAP and that positions are defensible to external auditors, valuation specialists, and future regulators.
This is a builder role: you'll help operate and continuously sharpen the controls, valuation governance, and close-ready documentation expected of a large accelerated filer, working alongside the Senior Director as the function takes shape. If you thrive on being in the room when deals are shaped — and then making the accounting land cleanly — we want to hear from you.
In this role, you will:
Execute technical accounting for business combinations, asset acquisitions, joint ventures, and related financing/equity structures
Partner with and influence Corporate Dev to steer deal structures toward preferred terms and outcomes
Perform accounting due diligence on prospective transactions, advising Corporate Development and leadership on GAAP, control, and earnings implications before terms are finalized
Execute end-to-end purchase accounting — acquirer and acquisition-date identification, consideration measurement (contingent consideration, rollover equity, replacement awards), and recognition/measurement of assets, liabilities, and goodwill
Execute post-close integration accounting — conforming accounting policies, system/ledger onboarding, working capital true-ups, earn-out remeasurement, and push-down considerations
Assess and monitor consolidation and investment classification for investees and structured arrangements — VIE/primary-beneficiary analysis, reconsideration events, equity method, measurement alternative, and fair value through earnings — and support impairment and observable-price-change reviews
Manage third-party valuation specialists; review PPA, intangible asset valuations, contingent consideration fair values, and impairment analyses
Author and defend technical accounting policies & memoranda; partner closely with external auditors on M&A, investment, and consolidation matters
Partner with Tax on deal structuring and ASC 740/basis-difference impacts; with Treasury and Legal on equity, SAFE/convertible, and other financing instruments
Help refine the deal-accounting operating model — diligence checklists, Day-1 close playbooks, opening balance sheet procedures, measurement-period tracking, integration workplans, and SOX-ready controls over non-routine transactions
Prepare and review transaction-related disclosures for quarterly and annual filings, including pro forma financial information and significance testing
Present transaction accounting conclusions and financial statement impacts to leadership and cross-functional stakeholders in clear, decision-ready terms
Monitor standard-setting and SEC developments affecting business combinations, consolidation, and investments; support adoption and cross-functional education
You may be a good fit if you:
Have 10+ years of progressive accounting experience, including 4+ years owning complex M&A and strategic investment accounting transactions end-to-end
Hold an active CPA license
Bring significant Big 4 experience — ideally in a National Office, Transaction/Deal Advisory, or Capital Markets/Accounting Advisory group — paired with in-house experience at a high-growth or public technology company
Have contributed to multiple closed acquisitions and minority/strategic investments, including at least one transaction of meaningful scale or complexity
Possess deep command of US GAAP for business combinations, consolidation, equity method, and fair value measurement, with a track record of positions that withstand auditor and regulator scrutiny
Are fluent in valuation concepts and can direct and challenge third-party specialists on PPA, contingent consideration, and impairment models
Have operated within a deal-accounting or investments-accounting function, contributing to playbook and controls design
Communicate effectively with Corporate Development and Legal on structuring trade-offs, translating technical conclusions for cross-functional and senior stakeholders
Demonstrate exceptional written and verbal communication, translating complex deal accounting into clear business implications
Excel at hands-on technical execution in a fast-paced, ambiguous environment, partnering closely with the Senior Director on strategic judgment calls
Are proficient with accounting systems (Workday preferred), consolidation tools, and advanced Excel/modeling
Curious about and quick to adopt new AI tools, including Claude and Claude for Finance
Strong candidates may also:
Have deep, practitioner-level expertise in one or more of the following:
Business combinations and asset acquisitions (ASC 805), including contingent consideration, replacement share-based awards, and step acquisitions
Consolidation and investment classification (ASC 810, 323, 321), including VIE/primary-beneficiary analysis, basis differences, and the measurement alternative
Fair value measurement, acquired financial instruments, and goodwill/intangibles (ASC 820, 815, 825, 350, 360), including impairment testing and IPR&D
Have led accounting for carve-outs, divestitures, spin-offs, or legal-entity rationalizations, including standing up SOX-compliant controls over non-routine/complex transactions
Have prepared or reviewed pro forma financial information and registration-statement disclosures (Article 11 of Regulation S-X, S-X Rule 3-05/1-02(w) significance testing, S-1 processes)
Have experience with novel AI/technology deal structures — acqui-hires, IP/license-heavy transactions, data and compute arrangements, revenue-share partnerships, and strategic investor rights — and are passionate about leveraging AI to accelerate diligence, memo drafting, and close
Deadline to apply:
None. Applications will be reviewed 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:
$230,000
—
$300,000 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.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
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, CA | New York City, NY | Seattle, WA
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
Code RL at Anthropic drives reinforcement learning efforts behind Claude's coding capabilities, creating and scaling agentic coding environments. This is an engineering role with unusual latitude to set technical direction and standards.
You'll be part of a team solving the engineering side of research efforts such as embedding with research teams, getting up to speed on their systems and needs, and designing the frameworks, APIs, and infrastructure that let researchers move faster, then rotating off, leaving behind well-oiled systems those teams can understand, own, and maintain themselves. Your remit also includes the ongoing health of production RL runs: maintainable, monitored, and straightforward to triage.
The team's problem space spans the client side of sandboxed execution for agentic RL environments, large-scale data processing jobs, the lifecycle of production datasets, and the frameworks researchers build environments on. You won't own all of this yourself, you'll take on the slices where your depth matters most. You'll be a strong fit if you have deep expertise in Python, a refined sense of taste for API and framework design, and hard-won intuition for how complex systems fail — especially silently. You should be comfortable diving into messy research code, finding the load-bearing abstractions, and improving them incrementally while researchers continue to build on top of your work.
Key responsibilities
Design widely-used APIs, frameworks, and abstractions that other engineers and researchers build on, with careful attention to interface legibility and principled defaults
Embed with research teams on a rotational basis: understand their engineering needs, build systems and APIs that support their work, and transfer ownership so teams can maintain those systems after you rotate off
Work directly in research codebases, improving reliability and structure without slowing down the research they support
Anticipate silent failure modes and prevent them structurally through type safety, well-designed invariants, targeted testing, and refactors that shrink the surface area for bugs
Contribute to the reliability of production RL systems, including monitoring, regression detection, and triage tooling
Help define engineering standards, review practices, and design patterns for a new team, and mentor researchers and engineers in adopting them
Minimum qualifications
Deep expertise in Python, including static typing, safe async and concurrency patterns, and writing performant Python code
A track record of designing intuitive, safe APIs or frameworks that other engineers or teams adopted and built on
Experience working productively in large, evolving, or research-style codebases that you didn't originally write
Demonstrated ability to anticipate failure modes — especially silent ones — and prevent them structurally through system design, type safety, and testing
Strong written and verbal communication skills, including the ability to explain system designs to collaborators with varied engineering backgrounds
Comfort with ambiguity: able to scope your own work from a loosely defined problem and drive it to a maintainable outcome
Preferred qualifications
Experience building infrastructure, tooling, or frameworks for machine learning research or RL workflows
Familiarity with reinforcement learning concepts, agentic systems, or LLM training pipelines
Experience building or operating large-scale distributed systems
Experience building client libraries or SDKs on top of sandboxed, containerized, or remote execution platforms
Experience with large-scale data processing or dataset lifecycle management
Experience designing plugin systems or extensible class hierarchies used across an organization
Experience embedding with or consulting for other teams, including successfully handing off systems for others to own
Experience defining code standards, lint rules, or static verification approaches adopted across multiple teams
Prior experience as a technical lead, or setting engineering standards for a team
Prior experience maintaining an open source project
Representative projects
These are examples of the challenges the team tackles; no one person will work on all of them:
Design a base RL environment abstraction general enough to be subclassed across a wide range of environments
Design a model-tool interface for sandboxed agentic environments that has explicit serialization semantics
Partner with the platform teams that own the sandbox runtime to specify low-level features that improve the integrity of agentic coding tasks
Design probes that catch sandbox regressions early
Design the lifecycle and maintenance scheme for a production dataset
Lead a research code refactor replacing loosely structured data containers with equivalents that carry stronger correctness guarantees, without breaking the experiments that depend on them
Design lint rules and code-style requirements that favor statically verifiable patterns — including patterns less likely to be overlooked by an LLM reviewing or writing the code — to shrink the surface area for silent bugs
Build the access layer that lets researchers discover and reuse data artifacts across teams
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:
$405,000
—
$625,000 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.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
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, CA | New York City, NY
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
Anthropic's Environments organization builds and maintains the infrastructure that improves Claude’s capabilities through reinforcement learning. That includes the frameworks researchers use to build environments and the infrastructure responsible for running them. The team's mission is to productionize research. You'll embed with research teams, get up to speed on how they work, and design the frameworks and APIs that let them move faster, building systems the team can understand, own, and maintain themselves. Scope also includes keeping production RL runs healthy, maintainable, monitored, and easy to triage.
You'll be a strong fit if you have deep expertise in Python, a refined sense of taste for API and framework design, and good intuition for how complex systems fail, especially silently. It's a bonus if you've built and operated a stateful distributed system, such as a workflow engine, actor framework, or durable-execution runtime, where correctness depends on getting shared state and recovery right. You should be comfortable diving into messy research code, finding the abstractions that matter, and improving them incrementally while researchers continue to build on your work. You should also be comfortable using AI tools to accelerate your own development, but have an impulse towards deep verification.
Key responsibilities
Design widely used APIs, frameworks, and abstractions that other engineers and researchers build on, making correct usage the default and ruling out entire classes of errors structurally
Own the platform layers that sit beneath every environment, including the agent runtime
Build the tooling that lets environment owners understand, debug, and maintain their environments in production without needing an infrastructure engineer in the loop
Embed with research teams on a rotational basis, work directly in their codebases without slowing down the research they support, and transfer ownership when you rotate off
Anticipate silent failure modes and prevent them structurally through type safety, well-designed invariants, targeted testing, and refactors that reduce the room for correctness issues
Drive adoption of new frameworks across the organization, including deprecations and cutovers
Help define the engineering standards, review practices, and design patterns for a new team, and mentor researchers and engineers in adopting them
Minimum qualifications
Deep expertise in Python, including static typing, safe async and concurrency patterns, and writing performant code
Strong taste in API and framework design, the ability to explain why an interface is right or wrong rather than just recognizing it, and a track record of other engineers or teams adopting and building on frameworks you have built
Experience designing or operating stateful concurrent or distributed systems, and reasoning carefully about failure, retries, idempotency, and consistency
A habit of verification: you measure before you conclude, and you build the checks that let a system show it's correct
Experience working productively in large, evolving, or research-style codebases that you didn't originally write
Strong written and verbal communication with collaborators of varied engineering backgrounds, and comfort with ambiguity: able to scope your own work from a loosely defined problem and drive it to a maintainable outcome
Preferred qualifications
Experience building infrastructure, tooling, or frameworks for machine learning research or RL workflows, and familiarity with agentic systems or LLM training pipelines
Experience building agent frameworks, orchestration engines, or multi-agent systems, including checkpoint and restore, replay, and coordination of long-running stateful processes
Experience using AI coding tools on code where correctness matters, with good judgment about what to delegate and how to make the results verifiable
Experience building client libraries or SDKs on top of sandboxed, containerized, or remote execution platforms
Experience with large-scale data processing, dataset lifecycle management, or data lineage systems
Experience designing serialization schemes, plugin systems, or extensible class hierarchies used across an organization
Experience embedding with or consulting for other teams and handing off systems for others to own, or defining code standards adopted across teams, or prior experience as a technical lead
Representative projects
These are examples of the challenges the team tackles:
Design a base RL environment abstraction that can be subclassed to support the large majority of environments built across RL
Redesign the model-tool interface for sandboxed agentic environments so that state is guaranteed to survive serialization, making it structurally impossible to write a tool that silently loses state
Design the state-sharing and recovery model for multi-agent workloads, so that losing a sandbox partway through a task becomes a transparent resume rather than lost work
Define the failure and retry model for a sandboxed execution platform, distinguishing infrastructure faults from genuine task outcomes so that each is handled correctly
Build the tooling that lets an environment owner diagnose why their environment is unhealthy in a production run, and fix it themselves
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:
$405,000
—
$605,000 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.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
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, 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're standing up a dedicated executive support function within IT, and we're hiring the IT Support Engineer who will build it. IT Support is the front door for every employee technology need at Anthropic, and this role creates its most visible lane: white-glove support for our executives, their administrative business partners (ABPs), and our board.
You'll define what that service looks like: the support model for execs, board, and ABPs, the runbooks behind it, the intake and escalation paths, and the trusted relationships with ABPs and exec staff that make it work. You'll set the bar for discretion and polish as you go. You'll also be the person our leadership reaches when technology gets in the way. The requests that land in this lane range from routine to highly sensitive, and many arrive urgent: an executive locked out minutes before a meeting, an AV issue in a room full of leadership, a board member who needs setup handled quietly and correctly the first time. You own the request end to end and pull in specialist functions or IT Engineering pods as needed.
Responsibilities
Stand up the executive support intake channels and run it: monitor, respond, and follow through on every request from executives, ABPs, and board members
Define the white-glove service model for discretion-sensitive asks and deliver to it, holding confidentiality under pressure
Design the board-meeting AV support playbook with the AV pod, and provide AV support for executive rooms and board meetings, from setup and pre-checks through live triage
Create exec-support runbooks and SLAs that keep the service consistent as it grows
Build trusted relationships with ABPs and executive staff, and establish clear intake paths so leadership knows exactly where to go
Handle ABP escalations and exec-urgent issues calmly, and route into specialist lanes or IT Engineering pods when a request needs them
Establish the board member device, account, and access setup process with our Onboarding lane
Work the shared ticket queue with the SF Core team: walk-ups, desk-side help, hardware swaps, it-assist overflow, and AV T1 triage
Participate in the Core on-call rotation and contribute to the knowledge base and runbooks
Maintain a regular on-site presence in San Francisco
You may be a good fit if you have
7+ years of experience in IT support and 3+ years in executive support
Experience standing up a service or program from scratch, such as an executive support desk, a VIP support function, or a white-glove service
Experience supporting executives, their assistants, or a board to a white-glove standard
A track record of handling sensitive requests with discretion, and the judgment to know what stays confidential without being told
Strong hands-on IT support fundamentals: macOS-primary fleets, identity and access, SaaS troubleshooting, hardware lifecycle
AV fluency for executive rooms and board meetings: you can set up, verify, and fix a room under time pressure
Composure when an urgent escalation lands, and the judgment to know when to pull in help
High polish and low ego: you take pride in service quality and still pick up whatever the team needs, including the ordinary queue work
A security-first mindset and excellent judgment about when user experience yields to security requirements
Comfort with ambiguity: you can make progress before the process exists, and you enjoy shaping how things should work
The instinct to write things down: runbooks, KB articles, and status updates that keep people informed
Nice to have
Experience supporting a C-suite or board of directors at a company with significant security or compliance requirements
AV depth beyond first response, such as broadcast, live events, or room design input
Experience building runbooks, self-service content, or support automation
Experience supporting AI/ML research environments or highly technical user bases
Deadline to apply: None. Applications will be received on a rolling basis.
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$180,000
—
$265,000 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.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
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.
San Francisco, CA
УдалённоseniorRemote - United States
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