Location: Remote - US
Workplace: Remote
ABOUT US
At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
ABOUT THE ROLE:
This position can be based remotely in
We’re looking to bring on an experienced frontend engineer to develop and enhance new features on LangSmith, our enterprise platform product for LLM application observability, testing, and debugging.
WHAT YOU WILL DO
- Develop new user-facing features using React & Typescript
- Build reusable components and front-end libraries for future use
- Translate designs and wireframes into high-quality code
- Optimize components for maximum performance across a vast array of web-capable devices and browsers
- Collaborate with fullstack and backend developers and UX/UI designers, to enhance usability
WHAT YOU WILL BRING
- Extensive front-end engineering experience with strong proficiency in React, JavaScript and TypeScript
- Hands-on experience with front-end development tools like Babel, Vite, Webpack, NPM, and Yarn
- Familiarity with REST APIs and experience working closely with fullstack and backend engineers
- Knowledge of modern authorization mechanisms, such as JWTs
- A passion for user experience, design and building clean, engaging, and intuitive interfaces
- Strong written and oral communication skills, with the ability to explain technical concepts clearly and concisely to both technical and non-technical stakeholders
- The DNA to thrive in a start-up, fast-paced environment. You view unstructured environments as an opportunity to make the most impactful work and to help define what's next.
- An ownership mind-set. You are self-driven and look for opportunities to make an impact.
- Strong computer science fundamentals, ideally with a degree in computer science or related field.
Compensation
Annual salary range: $180,000-$240,000 USD
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks.
We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
BENEFITS
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
Location: 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 seeking a Software Engineer to help build the technical foundation for how Anthropic educates customers and enterprises at scale, and to shape what that even means when AI is the delivery mechanism, not just the subject being taught.
Your work will define how millions of people experience learning about Claude: how content is served and adapted in real time, how assessments respond to what a learner actually understands, how credentialing systems verify genuine competence rather than course completion, and how the entire platform evolves as fast as the product it teaches. You'll build the infrastructure that makes AI-native education real — not as a concept, but as a working system that people interact with every day.
You’ll own the technical vision for our AI-driven educational experience: the platform layer, enterprise readiness features, the data architecture, the AI-augmented pipelines, the integrations, and the delivery systems. You'll work with a handful of highly technical educational collaborators to own the technical vision and execution for how Anthropic’s education team delivers educational experiences at scale, and you'll build the AI-augmented pipelines and platform capabilities that let a small team of educators operate with reach and responsiveness that would otherwise require an organization ten times larger.
This is an engineering role for someone who genuinely cares about how people learn. You'll make platform decisions that are deeply educational, and you need the judgment to make those decisions well, not just implement someone else's spec. You'll interface closely with Anthropic's security, infrastructure, and data teams, and you'll partner with trainers and educators on the GTM, devrel, and education teams who will be your primary stakeholders.
Responsibilities
Architect and own Anthropic’s enterprise ready education platform and infrastructure — authentication/SSO, learner data models, content delivery, credentialing, and progress tracking — designed for scale, AI-forward features, and reliability from day one
Own the technical vision for how Anthropic delivers AI-driven educational experiences and shaping what's possible, not just building what's requested. You’ll determine what to build, what to extend, and what to replace as needs evolve
Build AI-augmented pipelines for content generation, real-time adaptation, assessment delivery, and quality assurance — working closely with the education team to understand what these systems need to do pedagogically
Design platform capabilities that enable genuinely new kinds of empowering learning experiences — adaptive paths, competency-based progression, AI-evaluated demonstrations of skill — not just digital versions of traditional courses
Interface with Anthropic's security, infrastructure, and data teams to ensure education systems meet organizational standards and integrate cleanly with existing architecture
Build platform abstractions that let non-engineers on the team configure, extend, and experiment with educational experiences without engineering bottlenecks
Make product-level decisions about how the platform works — you're shaping what the learning experience is, not just serving it
You may be a good fit if you have
7+ years of software engineering experience, with demonstrated ability to take a platform from zero to production at scale
Genuine passion for education — you think about how people learn, you have opinions about what educational technology should look like in an AI-native world, and you want to build it
A strong eye for quality educational content, with a sense of the complex systems that produce it
Full-stack engineering skills with particular strength in backend systems: databases, APIs, authentication, reliability, and infrastructure
Experience building and operating platforms that serve many concurrent users reliably
Comfort with ambiguity and ownership: you'll need to translate pedagogical intent into technical architecture without heavy specification
Experience interfacing with security and infrastructure teams to meet organizational requirements while maintaining development velocity
A working practice of using AI tools in your own engineering workflows — and genuine curiosity about how AI fundamentally changes what educational platforms can be
Strong candidates may also have
Experience building or significantly contributing to learning platforms, credentialing systems, or educational technology products
Background in or exposure to learning science, instructional design, or educational research
Experience with SSO/identity (SAML, OAuth), badging standards (Open Badges), or LTI integrations
Familiarity with building systems that incorporate LLM capabilities as core infrastructure
Prior work at a high-growth company where you built platform infrastructure that other teams depended on
Experience designing systems that non-technical users configure and operate
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.
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: UK, London
Workplace: OnSite
Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further.
ABOUT THE ROLE
As IT Operations & Cyber Lead, you will manage Humanoid’s corporate IT environment, ensuring it is secure, reliable, and scalable as the company grows.
This is a hands-on leadership role, combining responsibility for end-user computing, identity and access management, corporate networking, and cyber security operations.
You will partner closely with:
- Engineering team, who manage product infrastructure (AWS, CI/CD, robotics environments);
- ITSM Lead, who manages service process, management and support
- The IT Director, to align on overall strategy, operational reliability, governance, and security maturity with business growth.
WHAT YOU'LL DO
- Own Humanoid’s corporate IT environment – covering endpoints, networks, identity, and security – ensuring reliability, scalability, and compliance.
- Lead end-user computing and identity management, including device lifecycle, MDM, SSO/MFA, and access provisioning in partnership with ITSM.
- Implement, operate and continually improve cyber defences across endpoints and SaaS platforms: vulnerability management, EDR/SIEM, and incident response.
- Manage vendors and core infrastructure partners, ensuring cost-effective delivery, timely patching, and contract governance.
- Maintain secure, high-performance connectivity for offices, labs, and remote users; coordinate with Engineering on network separation and integration.
- Define and enforce IT and security standards, policies, and backup / recovery procedures that meet ISO 27001 / SOC 2 / GDPR expectations.
- Monitor and report IT and security health, highlighting risks, incidents, and KPIs to the IT Director, and feed improvements into the IT roadmap.
WHAT WE'RE LOOKING FOR
- Proven experience leading IT operations and cyber operations in high-growth or technology-driven organisations.
- Hands-on expertise in:
- Identity & Access Management (Google Workspace, Azure AD, Okta or similar)
- Endpoint Management (Intune, Jamf, or similar)
- Corporate Networking (LAN / Wi-Fi / VPN / firewalls)
- Cyber Security Operations (EDR, SIEM, vulnerability management, incident response)
- Demonstrated ability to define and enforce standards and processes that combine agility with control.
- Strong vendor and stakeholder-management capability.
- Excellent communication skills; able to bridge technical and non-technical audiences.
- Comfortable in a start-up/scale-up environment — pragmatic, adaptable, and ownership-driven.
Desirable
- Experience supporting ISO 27001 or SOC 2 certification efforts.
- Experience automating IT workflows via scripting (PowerShell, Python, or equivalent).
- Exposure to robotics, IoT, or AI product environments.
- Knowledge of ITIL-based service processes.
- Familiarity with secure development or DevSecOps concepts.
WHAT WE OFFER
- Competitive equity: stock options with meaningful upside as we scale.
- 30+ paid days off, including 23 days of annual leave, all UK bank holidays, and additional company closure days (including Christmas–New Year shutdown).
- Private healthcare, including virtual and in-person care.
- Pension scheme with 8% total contribution (5% employee, 3% employer) on full earnings.
- Free daily breakfast, catered lunch, and snacks in-office.
- Work at the frontier - collaborate daily with world-class engineers, researchers, and product experts building the next generation of AI and humanoid robotics.
- Real ownership - direct access to founding leadership, meaningful input on product direction, and the ability to drive key initiatives from day one.
Location: UK, London
Workplace: OnSite
Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further.
ABOUT THE ROLE
Humanoid is seeking a highly driven and experienced Product Program Manager to join our Product Department. This critical role will lead the end-to-end development and delivery programme and relevant product-related projects for Humanoid's next-generation bipedal humanoid robot fleet solution – from Alpha prototype to production version, and from early adoption to mass deployment and further to different version obsolescence.
As the anchor for the development, launch and deployment process, you will drive cross-functional coordination across Product, Engineering, Operations, and Marketing teams to ensure that the solution is delivered on-time, on-cost, on-quality, and on-spec.
This is a highly collaborative role, requiring deep expertise in programme delivery and budget management across both technical and non-technical workstreams, as well as in product lifecycle for products that combine cutting edge hardware and software technologies. You will work closely with Engineering's Technical Program Managers (TPMs), who own the detailed technical execution of the mechanical, actuation, controls, perception and other AI systems that underpin safe and reliable bipedal locomotion, manipulation and interaction, to ensure their workstreams are integrated into the overall programme plan, as well as other key stakeholders. The ideal candidate will possess strong leadership skills, a structured delivery and product-oriented mindset, and the ability to operate confidently across a diverse stakeholder landscape.
WHAT YOU'LL DO
- Lead the full lifecycle programme management of the humanoid robot fleet solution development & deployment – from planning, design, prototyping, testing, manufacturing to launch, early to mass deployment, version update to obsolescence or repurposing.
- Act as the central coordination point between Product, Engineering, Operations, Manufacturing, Supply Chain, Marketing, Business Development and Finance to align resources, schedules, and deliverables.
- Develop and maintain programme plans, risk registers, dependency maps, and stage gates to ensure structured and transparent delivery.
- Champion best-in-class governance, reporting, and communication processes to ensure all stakeholders remain informed and engaged.
- Identify and mitigate programme risks and issues early to maintain momentum and resolve delivery challenges.
- Support the Product Department in defining scope, prioritisation, and trade-off decisions throughout the development & deployment cycles.
- Drive alignment between cross-functional teams and facilitate decision-making to unblock issues across technical and operational domains.
- Own programme budget planning and management across development, testing, tooling, and deployment phases – building and maintaining the budget, tracking actual spend against plan, forecasting variances, managing change control on cost impacts, and reporting budget performance to senior stakeholders.
- Partner with Engineering's Technical Program Managers (TPMs) to drive delivery of the bipedal locomotion, whole-body control, sensor integration, and safety/certification workstreams – ensuring their technical plans and test campaigns are reflected in the overall programme schedule and dependencies, with progress reported transparently to stakeholders. TPMs own the detailed technical execution and design decisions; this role owns the programme-level integration, sequencing, and accountability for outcomes.
- Work with Engineering TPMs, Supply Chain, and Finance to manage the commercial, budget, and schedule aspects of supplier/partner relationships for critical bipedal subsystems (actuators, gearboxes, batteries, sensors), and to translate technical KPIs (e.g. locomotion performance, MTBF, production readiness) into programme-level cost, schedule, and quality reporting.
WHAT WE'RE LOOKING FOR
- Bachelor’s degree or higher in Mechanical, Electrical, Mechatronics, Manufacturing, Industrial Design Engineering or a closely related technical discipline.
- 7+ years of experience in programme or project management roles within technology or product development environments, preferably in Robotics or Consumer electronics environments, having followed different stages of product lifecycles.
- Formal project management qualification (PMP, PRINCE2, or equivalent).
- Proven track record of successfully delivering complex, multi-disciplinary hardware and/or software product development programmes.
- Strong experience in managing cross-functional teams spanning engineering, operations, manufacturing, finance, and supply chain.
- Excellent communication, stakeholder management, and problem-solving skills.
- Ability to work in a fast-paced and evolving environment, driving clarity and direction across multiple teams.
- Experience owning or managing programme budgets for complex hardware/technology programmes, including cost tracking, forecasting, and reporting.
- Experience partnering with technical/engineering leads (e.g. Technical Programme Managers) on complex hardware programmes – ideally including legged or bipedal robotics, or closely related fields such as locomotion research or actuator-driven mechatronic systems – with enough technical fluency (actuators, controls, sensors, robotics safety standards) to translate technical risk into programme impact and make informed scope and trade-off decisions, without requiring hands-on engineering ownership.
Nice to have:
- Direct experience working on or managing a bipedal or legged humanoid robot programme, from prototype through to production and deployment.
- Experience with mass-production ramp-up of complex robotic or mechatronic hardware, including supplier qualification and manufacturing scale-up.
- Familiarity with simulation-to-real transfer, digital twin practices, or reinforcement-learning-based control as used in modern humanoid development.
WHAT WE OFFER
- Competitive equity: stock options with meaningful upside as we scale.
- 30+ paid days off, including 23 days of annual leave, all UK bank holidays, and additional company closure days (including Christmas–New Year shutdown).
- Private healthcare, including virtual and in-person care.
- Pension scheme with 8% total contribution (5% employee, 3% employer) on full earnings.
- Free daily breakfast, catered lunch, and snacks in-office.
- Work at the frontier - collaborate daily with world-class engineers, researchers, and product experts building the next generation of AI and humanoid robotics.
- Real ownership - direct access to founding leadership, meaningful input on product direction, and the ability to drive key initiatives from day one.
Location: Cape Town, South Africa
We are looking for a Finance Database Engineer to join our growing team. This role sits at the intersection of finance, technology, and engineering, and will be responsible for building and maintaining scalable data solutions that support financial reporting and operational decision-making.
This is a hands-on role with significant ownership, where you will work closely with finance and operations teams to improve data visibility, accuracy, and efficiency across the organization.
Primary Responsibilities:
Design, build, and maintain data pipelines and applications using Microsoft Azure and Microsoft Fabric
Develop and optimize SQL data models to support financial reporting and analysis
Build and maintain Power BI dashboards and reporting solutions for business stakeholders
Ensure data accuracy and integrity through validation, reconciliation, and issue investigation
Own end-to-end data workflows, from ingestion through transformation and reporting
Collaborate with finance and operations teams to translate business needs into scalable data solutions
Identify opportunities to improve data processes, automation, and system performance
Work closely with IT teams to ensure security, governance, and compliance of financial data.
Optimize SQL queries and improve report performance.
Focuses on transforming raw data into reliable reporting models.
Requirements
Bachelor’s degree in computer science, Computer Engineering, Information Systems, or a related field.
3+ years of experience in data engineering, analytics engineering, or software engineering with financial order Information
DP-700 Certification (Preferred)
Technical Requirements
Experience with Microsoft Azure.
Hands-on experience with Microsoft Fabric (Lakehouse, Data Warehouse, Data Factory).
Experience with Power Query, DAX, and SQL with large, complex datasets.
Familiarity with Git and/or Azure DevOps for version control.
Knowledge of Python for data processing and automation (preferred).
Experience integrating data through APIs or external data sources.
Understanding of data warehousing concepts and dimensional modeling.
Ability to work in mixed time zones with various teams including Pacific Standard (USA)
Experience building reports and data models in Power BI
Strong understanding of ETL/ELT pipelines and data validation processes
Experience working with financial or operational data is a strong plus
Soft skills requirements:
Strong analytical and problem-solving skills.
Ability to communicate technical concepts to non-technical stakeholders.
Excellent stakeholder management and collaboration skills.
Strong organizational and time management skills.
Continuous improvement mindset with a proactive approach to automation and process optimization.
Location: EMEA Remote
About
Customer.io
Over 8,000 companies — from scrappy startups to global brands — use our platform to send billions of emails, push notifications, in-app messages, and SMS every day.
Customer.io
powers automated communication that people actually want to receive. We help teams send smarter, more relevant messages using real-time behavioral data.
About the role
Hi, I'm Matt Lane, Manager of Account Management at
Customer.io
, and I'm looking for a Senior Account Manager to join our EMEA team. This is a revenue ownership role — you'll manage a portfolio of mid-market and enterprise accounts, driving renewals, identifying expansion opportunities, and building the kind of relationships that make customers want to grow with us. You'll be part of a tight-knit EMEA team and a key commercial voice for the accounts you own.
This role is open to candidates based in the UK or Ireland only.
What we value
Commercial ownership — you treat your book of business like it's yours, because it is
Forecasting discipline and data-driven decision-making, not gut feel
Multi-threaded relationships — you build trust across the org, not just with one champion
Expansion through value, not feature gates or mechanical levers
Close partnership with Customer Success — you see CS as a collaborator, not a handoff
What you'll do
Own the full commercial strategy for a portfolio of mid-market and enterprise accounts — renewals, expansion, and churn mitigation
Drive growth by helping customers adopt
Customer.io
more strategically, identifying new use cases and articulating ROI clearly
Forecast renewal and expansion pipeline accurately with a clear, repeatable methodology
Build multi-threaded relationships from day-to-day operators to Directors and VPs, becoming a trusted commercial advisor
Partner closely with Customer Success on account health and with Sales on expansion deals
Engage Legal and Finance on complex renewals and collaborate cross-functionally to move deals forward
What we're looking for
3+ years in Sr. Account Management, Sales, or a related SaaS commercial role with direct ownership of a revenue number (5+ years preferred)
Experience managing $5m ARR, predominantly in the MM space
Proven ability to grow customer spend outside of overages or true-ups — genuine expansion through adoption and value articulation
A forecasting methodology you can walk through clearly — it doesn't need to be a named framework, just logic you own
Comfortable pulling usage data, tracking health scores, and building your own dashboards
Strong communicator — clear and persuasive with both technical and non-technical stakeholders
Based in the UK or Ireland
Compensation & Benefits
We believe in transparency. Starting salary for this role is $151,700k - $212,00k OTE USD(or equivalent in local currency) depending on experience and subject to market rate adjustment. In addition to base salary, this role includes an equity grant in the form of stock options, so you share in the success you help build.
We know our people are what make us great, and we're committed to taking great care of them. Our inclusive benefits package supports your well-being and growth, including
100% coverage of medical, dental, vision, mental health, and supplemental insurance premiums for you and your family
. We also offer
16 weeks paid parental leave, unlimited PTO
, stipends for remote work and wellness, a professional development budget, and more.
See full benefits here →
Our Process
No gotchas, no trick questions - just a clear, human process designed to help both of us make an informed decision.
30-minute video call with a Recruiter
45-minute video call with the Hiring Manager
Take-Home Assignment
1-hour Assignment Review Call with the team
All final candidates will be asked to complete a background check and employment verifications as part of our pre-employment process.
Join us!
Check out our
careers page
for more information about why you should
come work with us!
We believe in empathy, transparency, responsibility, and, yes, a little awkwardness. If you're excited by what you read — apply now.
Location: London, UK
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 Engineer focused on builds and design, you'll design and implement the systems that enable world-class collaboration and communication across offices. This role is critical as we rapidly expand our physical footprint, with plans for multiple new offices and expansions over the coming years.
You'll be responsible for architecting AV solutions from concept through commissioning, ensuring our conference rooms, event spaces, and collaboration areas provide frictionless experiences that enable our teams to advance AI safety research. You'll help establish standards and systems that scale efficiently while pushing the boundaries of what's possible in workplace collaboration technology.
This is an opportunity to shape how a cutting-edge AI research organization communicates and collaborates, building infrastructure that supports everything from small team meetings to company-wide all-hands broadcasts reaching thousands of remote participants.
Responsibilities
Lead AV design, procurement, and programming for new office builds, expansions, and retrofits across our global portfolio
Create and maintain AV system designs including schematic drawings, line diagrams, and elevation plans
Program and commission AV systems to meet specific use cases and user requirements
Execute successful "first day of business" deployments for new offices, ensuring all systems are operational for day-one occupancy
Attend build coordination meetings with architects, contractors, and workplace teams to drive AV requirements and integration
Innovate and test emerging AV technologies to optimize productivity and enable premium experiences for existing and upcoming spaces
Develop automated solutions to improve system reliability and reduce operational overhead
Partner with Security and IT teams to ensure AV systems meet enterprise security requirements
Create comprehensive documentation for all systems including programming logic, troubleshooting guides, and operational procedures
Oversee operations globally to ensure seamless AV operations and service delivery standards are consistently met
Manage relationships with AV integrators and vendors to ensure project success
Assist with AV operations support including event production and system maintenance as needed
You may be a good fit if you
Have 8+ years of experience designing and implementing AV systems in an enterprise environment
Are proficient in control system programming utilizing the Q-Sys ecosystem or similar
Have hands-on experience with video conferencing platforms, particularly Google Meet
Can read and create AV technical drawings including schematics, line diagrams, and rack elevations
Understand digital signal processing (DSP) concepts for audio, including acoustic echo cancellation, noise reduction, EQ/dynamics, and automixing
Are familiar with enterprise video distribution, streaming technologies, and broadcast standards
Can manage multiple projects simultaneously while meeting aggressive timelines
Collaborate effectively with non-technical stakeholders to translate requirements into technical solutions
Have excellent troubleshooting skills and are comfortable diving into complex integrated systems
Care about creating exceptional user experiences through technology
Are excited about the opportunity to build scalable AV infrastructure from the ground up
Strong candidates may also have
Experience with Logitech video conferencing ecosystem and management platforms
Certifications such as Q-Sys Level 2, CTS, or CTS-D
Familiarity with control scripts using Lua within Q-Sys
Background in broadcast production or live event engineering
Experience with Netgear network switches running AV over IP systems (QLAN, Dante, SMPTE 2110)
Familiarity with digital signage platforms (Appspace or similar)
Understanding of acoustical design principles for conference spaces
Track record of successful large-scale office technology deployments
Previous experience performing AV installations
Background working in high-growth technology companies
Experience with Google Workspace administration
Role Specific Location Policy:
This role will be based in our London office
This role is expected to be in office 75% of the time
This position will require up to 8 weeks of domestic and international travel to help with new office build outs
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:
£210,000
—
£250,000 GBP
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: San Francisco, 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 Engineer focused on builds and design, you'll design and implement the systems that enable world-class collaboration and communication across offices. This role is critical as we rapidly expand our physical footprint, with plans for multiple new offices and expansions over the coming years.
You'll be responsible for architecting AV solutions from concept through commissioning, ensuring our conference rooms, event spaces, and collaboration areas provide frictionless experiences that enable our teams to advance AI safety research. You'll help establish standards and systems that scale efficiently while pushing the boundaries of what's possible in workplace collaboration technology.
This is an opportunity to shape how a cutting-edge AI research organization communicates and collaborates, building infrastructure that supports everything from small team meetings to company-wide all-hands broadcasts reaching thousands of remote participants.
Responsibilities
Lead AV design, procurement, and programming for new office builds, expansions, and retrofits across our global portfolio
Create and maintain AV system designs including schematic drawings, line diagrams, and elevation plans
Program and commission AV systems to meet specific use cases and user requirements
Execute successful "first day of business" deployments for new offices, ensuring all systems are operational for day-one occupancy
Attend build coordination meetings with architects, contractors, and workplace teams to drive AV requirements and integration
Innovate and test emerging AV technologies to optimize productivity and enable premium experiences for existing and upcoming spaces
Develop automated solutions to improve system reliability and reduce operational overhead
Partner with Security and IT teams to ensure AV systems meet enterprise security requirements
Create comprehensive documentation for all systems including programming logic, troubleshooting guides, and operational procedures
Oversee operations globally to ensure seamless AV operations and service delivery standards are consistently met
Manage relationships with AV integrators and vendors to ensure project success
Assist with AV operations support including event production and system maintenance as needed
You may be a good fit if you
Have 8+ years of experience designing and implementing AV systems in an enterprise environment
Are proficient in control system programming utilizing the Q-Sys ecosystem or similar
Have hands-on experience with video conferencing platforms, particularly Google Meet
Can read and create AV technical drawings including schematics, line diagrams, and rack elevations
Understand digital signal processing (DSP) concepts for audio, including acoustic echo cancellation, noise reduction, EQ/dynamics, and automixing
Are familiar with enterprise video distribution, streaming technologies, and broadcast standards
Can manage multiple projects simultaneously while meeting aggressive timelines
Collaborate effectively with non-technical stakeholders to translate requirements into technical solutions
Have excellent troubleshooting skills and are comfortable diving into complex integrated systems
Care about creating exceptional user experiences through technology
Are excited about the opportunity to build scalable AV infrastructure from the ground up
Strong candidates may also have
Experience with Logitech video conferencing ecosystem and management platforms
Certifications such as Q-Sys Level 2, CTS, or CTS-D
Familiarity with control scripts using Lua within Q-Sys
Background in broadcast production or live event engineering
Experience with Netgear network switches running AV over IP systems (QLAN, Dante, SMPTE 2110)
Familiarity with digital signage platforms (Appspace or similar)
Understanding of acoustical design principles for conference spaces
Track record of successful large-scale office technology deployments
Previous experience performing AV installations
Background working in high-growth technology companies
Experience with Google Workspace administration
Role Specific Location Policy:
This role will be based in our San Francisco office
This role is expected to be in office 75% of the time
This position will require up to 8 weeks of domestic and international travel to help with new office build outs
Deadline to apply: None. Applications will be received on a rolling basis.
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$285,000
—
$325,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Poland
Company Background
Our client is a leading global data center provider delivering hyperscale and edge infrastructure solutions across the Americas, EMEA, and Asia-Pacific. With 80+ data centers in 20+ countries, they partner with industry leaders such as Google, Oracle, NVIDIA, and Microsoft Azure to power the world’s digital infrastructure. Recognized as a USA TODAY Top Workplace for four consecutive years, the company continues to expand its global footprint and customer ecosystem.
Project Description
The project focuses on developing and maintaining an enterprise integration layer that connects the client’s operational platforms, cloud services, and corporate applications across a complex business environment. The specialist will help enable secure, reliable, and scalable communication between in-house and SaaS systems, supporting the automation and consistent flow of business data across the organization.
Technologies
MuleSoft / Azure Integration Services / UiPath / Workato
REST, SOAP APIs
Python, PowerShell, Bash
ETL
Event-driven architectures
Azure Service Bus / AWS SQS / Kafka
What You'll Do
Build, test, deploy, and support integrations across enterprise systems, including ERP, HRIS, FinOps, ITSM, and in-house operational platforms;
Design and implement scalable and secure data flows using MuleSoft, REST/SOAP APIs, event-driven patterns, ETL pipelines, and middleware platforms;
Establish integration standards, reusable patterns, and governance practices to reduce point-to-point integrations and technical debt;
Collaborate with HR, Finance, IT, cloud, and infrastructure teams to translate business requirements into technical integration solutions;
Develop automation scripts and pipelines using Python, PowerShell, and Bash to streamline data transfers, system events, and operational workflows;
Build and maintain CI/CD pipelines for reliable, testable, and auditable integration deployments;
Implement monitoring, alerting, and observability for integration pipelines, troubleshoot data flow issues, and maintain technical documentation;
Connect master data management and FinOps data flows with enterprise applications while supporting data accuracy, latency, and governance requirements;
Support routine administration of enterprise systems, including user access updates and maintenance of system records;
Contribute to preparing enterprise data for future AI/ML use cases;
Job Requirements
7+ years of experience in enterprise integration engineering, systems architecture, or a related technical role, with progressively increasing scope;
Solid experience with iPaaS or middleware platforms, such as MuleSoft, Azure Integration Services, UiPath, or Workato; MuleSoft experience is preferred;
Hands-on experience designing and implementing REST and SOAP API integrations across heterogeneous enterprise systems;
Experience integrating ERP, HRIS, ITSM, and/or FinOps platforms in a multi-cloud environment;
Proficiency in scripting and automation using Python, PowerShell, and/or Bash;
Working knowledge of ETL patterns, event-driven architectures, and message queue systems;
Strong understanding of data security, access control, and zero-trust integration principles;
Ability to translate ambiguous business requirements into concrete and well-documented technical designs;
Experience collaborating across engineering, infrastructure, and business stakeholder groups;
Nice To Have
Experience working in data center, critical facilities, or industrial/OT environments, or the ability to rapidly learn domain-specific operational systems;
Hands-on experience with FinOps tooling, such as Apptio or Azure Cost Management, and cost data pipelines;
Experience administering enterprise back-office business systems, such as NetSuite, Coupa, Rippling, BlackLine, or Ironclad;
Experience integrating Rippling, ADP, or comparable HRIS platforms with downstream financial and operational systems;
Familiarity with ServiceNow or comparable ITSM platforms and their integration capabilities;
Experience using AI-powered agentic coding tools and IaC technologies, such as Terraform or Bicep;
Exposure to AI/ML pipeline architectures and data preparation workflows for intelligent operations;
Experience with Agile and DevOps practices at scale;
What Do We Offer
The global benefits package includes:
Technical and non-technical training for professional and personal growth;
Internal conferences and meetups to learn from industry experts;
Support and mentorship from an experienced employee to help you professional grow and development;
Health insurance;
Sports activities to promote a healthy lifestyle;
Flexible work options, including remote and hybrid opportunities;
Referral program for bringing in new talent;
Work anniversary program and additional vacation days.
Location: San Francisco, CA; Boston, MA; New York, NY
Workplace: OnSite
ABOUT US
At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
About The Role:
We’re looking to add a frontend engineer to develop and enhance new features on LangSmith, working on our enterprise platform product for LLM application observability, testing, and debugging.
*This role can be based in our San Francisco, New York, or Boston office. Employees within commuting distance work from the office five days per week. Candidates who live outside commuting distance (e.g. >1hr each way), may be eligible for hybrid arrangements depending on location and role requirements.
What You Will Do:
- Develop new user-facing features using React & Typescript
- Build reusable components and front-end libraries for future use
- Translate designs and wireframes into high-quality code
- Optimize components for maximum performance across a vast array of web-capable devices and browsers
- Collaborate with fullstack and backend developers and UX/UI designers, to enhance usability
What You Will Bring:
- 2+ years of Front-end engineering experience with strong proficiency in React, JavaScript and TypeScript
- Hands-on experience with front-end development tools like Babel, Vite, Webpack, NPM, and Yarn
- Familiarity with REST APIs and experience working closely with fullstack and backend engineers
- Knowledge of modern authorization mechanisms, such as JWTs
- A passion for user experience, design and building clean, engaging, and intuitive interfaces
- Strong written and oral communication skills, with the ability to explain technical concepts clearly and concisely to both technical and non-technical stakeholders
- The DNA to thrive in a start-up, fast-paced environment. Views unstructured environments as an opportunity to figure out the most impactful work and help define the future success of the company
- An ownership mind-set. You are self-driven and look for opportunities to make an impact.
- Strong computer science fundamentals, ideally with a degree in computer science or related field
Compensation
- Annual salary range: $160,000-$195,000 USD
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks.
We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
BENEFITS
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
Location: United States (Remote)
Workplace: Remote
ABOUT ONEPAY
OnePay is the consumer fintech trusted by millions of Americans to make money better.
Our financial system is broken. High fees, low rates, and too few ways to actually grow your money. We’re fixing it. And we’re moving fast.
We’re an all-in-one financial services platform that brings together banking, high-yield savings, credit cards, point-of-sale lending, investing, and crypto in one place. We also partner with employers, HCM providers, gig platforms, and others to deliver embedded financial services to millions of employees and frontline workers.
We’re backed by Walmart, the world’s largest retailer, and Ribbit Capital, one of fintech’s most respected investors, giving us rare scale, distribution, and the opportunity to build something truly category-defining.
But what really sets OnePay apart is how we move. Our customers don’t have time to wait… and neither do we. This place moves fast, and we’re looking for people who are:
- Ready to run
- Hungry and driven by urgency
- Exceptional at what they do, with low ego
- Comfortable operating in motion
THE ROLE
As an Analytics Engineer at OnePay, you'll own the analytics foundation (dbt models, testing, and Databricks BI) so the business can move fast on trusted data. We build for humans and AI, so you’ll use AI tools (Claude Code, Cursor) daily to move faster and design models, metrics, and documentation that agents and analysts can both rely on.
WHAT YOU’LL DO
- Design and build production dbt models on Databricks that the organization uses as the source of truth for what’s happening in the business
- Support external reporting with accurate, governed data that stakeholders and partners can trust
- Own data quality: testing, CI/CD, documentation, and patterns the team follows
- Build and evolve Databricks dashboards and semantic metrics for self-service across the business
- Partner with Data Engineering, Analytics Engineering, and analytics stakeholders to turn messy business problems into durable data products
- Drive AI-native workflows: Cursor/Claude (or equivalent) in daily development; model and doc design that works for LLM consumers
YOU BRING
- 3+ years in analytics engineering or equivalent: you’ve owned production models end-to-end, not just ad hoc analysis
- Expert SQL and deep dbt experience (architecture, incremental models, tests, macros, CI/CD)
- Strong Databricks BI (or equivalent semantic layer) delivery
- AI-savvy in practice: you already use AI coding tools daily, validate outputs rigorously, and design data for both humans and agents
- Proven ability to execute in ambiguity: startup pace, incomplete specs, bias toward shipping
- Clear communicator across technical and non-technical audiences
- Owner mentality: you see what’s broken, fix it, and raise the bar for others
TOOLS WE USE
We use Typescript front to back, with node and NestJS frameworks for server code and React Native for our iOS, Android, and Web clients. We run on a highly distributed cloud-native stack with Kubernetes and AWS, and scale and resiliency are at the heart of everything we build. We also embrace agentic development, so engineers have their choice of a variety of models and agent harnesses, including Claude Code, Cursor, Codex, and more to fit their workflow. While you don't need experience with our exact stack, familiarity with modern software engineering practices will help you ramp up quickly.
WHAT WE OFFER
- Competitive base salary, stock options, and health benefits from Day 1
- 401(k) plan with company match
- Remote-friendly (US), flexible time off (FTO), and opportunities for growth
- A high-growth, mission-driven, inclusive culture where your work has real impact
STANDARD INTERVIEW PROCESS
Our process varies by role. Most candidates go through:
- AI-assisted initial screen
- Interview with Talent Partner
- Technical or Hiring Manager Interview
- Team Interview
- Executive Interview
- Offer!
EQUAL EMPLOYMENT OPPORTUNITY
To build technology and products that are used and loved by people and solve real-world problems, we need to build a team with many different perspectives and experiences. We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We encourage candidates from all backgrounds to apply. Applicants in need of special assistance or accommodation during the interview process or in accessing our website may contact us at talent@onepay.com.
Location: Houston; Austin; Dallas; San Antonio
Workplace: Remote
WHO ARE WE?
Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems.
We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that.
We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft.
We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us!
Why this role?
Role Overview:
In this role, you will have ownership of the full sales cycle - from identifying leads to closing deals with Global 2000, large enterprises within the Energy (oil and gas) and Utility sectors. We’re looking for an approachable and compelling communicator who loves working with prospects to uncover their needs and feels comfortable developing tailored value propositions around how Cohere’s platform can help them achieve their business goals. You’ll lay the foundation for Cohere’s growth by owning your territory and collaborating with teammates across customer success, sales development, marketing, and solution architecture. You’ll be the voice of the field and help our product and engineering teams prioritize the Cohere roadmap with customer-centric care. It’s a highly self-directed role, so you should be someone who thrives in an unstructured and quickly evolving environment. And your opportunity for impact will be astronomical — Cohere has skies-the-limit potential, and you’ll help us reach it.
Key Responsibilities:
As a Strategic Account Executive focused on the Energy & Utilities industry, you will:
- Focus on net-new logo acquisition via outbound activity and relationship building with key stakeholders while also bringing a strong network of key decision-maker and influencer contacts and relationships in the energy (oil and gas) and utility industries to accelerate engagements, drive strategic partnerships and win sales opportunities
- Work closely with customers and prospects as a consultative, trusted advisor who deeply understands their challenges and goals, their technology ecosystem, and will tailor solutions to drive measurable impact for their businesses
- Work in close partnership with channel partners to find opportunities to scale outreach and customer satisfaction in your region
- Collaborate with product and engineering teams as well as customer success on strategic motions to deliver solutions to large enterprise customers
- Collaborate with Sales Development Representatives to drive top of funnel activity
- Own the full sales cycle – from initial outreach through proof-of-concept, pilot, deal close, and deployment ; this is not a transactional sale that you can walk away from after the contract is signed but rather requires ongoing oversight of the project to ensure success
Key Responsibilities:
You may be a good fit if you have:
- 8+ years of previous B2B sales experience with Global 2000, large enterprises in the energy (oil and gas) and utility sectors, negotiating and closing transformational multi-year (2-5 year) SaaS deals in the 7 figure range, and a track record of high performance and exceeding quota
- Previous experience as a technical consultative salesperson, selling complex products, such as developer tools, API products, or AI / NLP solutions, are a plus, with a focus on applications in the energy (oil and gas) and utility sector
- Previous experience working with customers during the deployment phase of the engagement, aligning on how best to configure and customize the solution that supports success in production and builds trust to set up for expansion and growth
- Previous experience working with channel partners such as cloud hyperscalers and system integrators to drive sales cycles and hit shared revenue goals
- High tolerance for ambiguity - as an early sales hire, you’ll have to be a self-starter, doer and a strategist who is capable of wearing many hats and doing what it takes to figure out a path to success
- Curiosity - you want to go deep on NLP and become an expert on our technology while considering how to fit into a large organization’s technology landscape with a focus on its applications in the energy (oil and gas) and utility sectors
- Fantastic communication skills - you are a great listener, have a knack for understanding what matters most to others, build strong relationships, can speak to the c-suite, and feel comfortable speaking to both technical and non-technical audiences in the energy (oil and gas) and utility sectors
Qualifications:
- Deep understanding of the energy (oil and gas) and utility industries, including key trends, challenges, and opportunities
- Ability to articulate the value of AI and NLP solutions in the context of energy (oil and gas) and utility operations, such as predictive maintenance, supply chain optimization, and customer engagement
- Experience working with regulatory and compliance requirements specific to the energy (oil and gas) and utility industries
Cohere is committed to fair and transparent pay practices. The salary range listed for this role reflects the expected base compensation. Actual compensation offered will be determined by factors such as location, level, job-related knowledge, skills, education, and experience.
FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS:
- A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch.
- Full health and dental benefits, including a separate budget for mental health.
- RRSP matching, 401K, Pension Scheme.
- 100% Parental Leave top-up for up to 6 months, for either parent.
- Annual enrichment benefits:
Arts & culture, fitness/wellness, quality time, and a workspace improvement credit.
Education & learning stipend for conferences, courses, and coaching.
- 6 weeks of paid vacation (30 working days!)
- Budget for traveling to other offices if you are remote, plus an annual company offsite.
HOW AND WHERE WE WORK:
- Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon.
- For those in the office: a daily lunch program, plenty of snacks, and regular community and social events.
- For those not near an office: a co-working benefit so you can work alongside others in your city.
- Everyone receives a $500 home office stipend to set up your workspace properly.
If any of the above doesn’t line up exactly with your experience, we still encourage you to apply.
We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs.
We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider.
Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.
Location: New York, NY; San Francisco, CA
Workplace: OnSite
ABOUT US
Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia.
We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do.
Our co-founders are Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/. Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google’s AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace.
WHAT YOU’LL DO
- Lead the design and delivery of production-grade AI agents: We believe the best managers lead from being hands-on and close to the work. Our managers operate as ICs for their first 3-6 months at Sierra, and then evolve to manage and grow a team of engineers, all while building highly performant, reliable, and intuitive AI agents that are central, mission-critical, and directly drive Sierra’s growth. These aren’t prototypes—they are powerful, scalable systems running in production environments across industries like finance, healthcare, and commerce. You’ll ensure technical excellence, operational reliability, and high customer impact.
- Own the Agent Development Life Cycle (ADLC): You’ll both build directly, and guide your team through the full lifecycle—from initial pilot through deployment and continuous iteration—coaching engineers to set and maintain the standard for ADLC best practices. You’ll ensure projects are delivered on time, meet customer needs, and scale effectively in production environments.
- Partner with large enterprises and cutting-edge startups: You’ll collaborate with leaders at some of the world’s largest enterprises to understand their most pressing business challenges, and guide your team in building AI agents that transform how they operate at scale. You’ll also work with innovative startups in Silicon Valley, embedding AI agents across their entire business stack to drive innovation and efficiency.
- Shape the future of the platform: Your team’s direct work with customers will guide the evolution of Sierra’s core platform. You’ll surface unmet needs, prioritize initiatives, and collaborate with research, product, and platform teams to shape the future of AI agent development and Sierra’s product.
WHAT YOU'LL BRING
- Experience building and scaling, as well as leading engineering teams that build and scale, end-to-end production systems
- Strong technical problem-solving skills and the ability to guide teams through ambiguous, fast-changing environments
- A leadership style that comes from being hands-on, and blends high standards with empathy, fostering both speed and quality
- Proven ability to work closely with customers and translate business needs into technical deliverables
- Excellent communication skills across technical and non-technical audiences
- Degree in Computer Science or related field, or equivalent professional experience.
EVEN BETTER...
- AI-related experience (experience developing AI agents a plus).
- Experience building or deploying AI/LLM systems in production
- Background as a founder, engineering lead, or startup builder with high ownership and urgency
- Familiarity with tools for today’s AI agents: eval frameworks, agent tooling, RAG pipelines, and prompt engineering
- Prior experience with React, TypeScript, and/or Go
- Experience interfacing with customers or leading technical projects with external stakeholders
OUR VALUES
- Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work.
- Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it.
- Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve.
- Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time.
- Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements.
WHAT WE OFFER
We want our benefits to reflect our values and offer the following to full-time employees:
- Flexible (unlimited) paid time off
- Medical, dental, and vision benefits for you and your family
- Life insurance and disability benefits
- Retirement plan dependent on country of employment
- Parental leave
- Fertility and family building benefits through Carrot
- Lunch, as well as delicious snacks and coffee to keep you energized
- Discretionary benefit stipend giving people the ability to spend where it matters most
- Free alphorn lessons
These benefits are further detailed in Sierra's policies, may vary by region, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies.
BE YOU, WITH US
We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply even if your experience doesn't precisely match the job description. We strive to evaluate all applicants consistently without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.
Location: North America
Workplace: Remote
At Linear, we're building the product development system for teams and agents. AI is fundamentally changing how software gets built, and we’re shaping the tools this new era requires.
Founded in 2019, Linear has become the platform of choice for more than 50,000 companies (including OpenAI, Coinbase, and Ramp) to plan, build, and ship their products. Today, our team is distributed across North America, Europe, and Australia, and we’re continuing to grow internationally. What unites us is relentless focus, fast execution, and a deep care for software craftsmanship.
The Data team works across Linear, supporting Product, Engineering, and GTM. We own our data pipelines, warehouse, dashboards, analysis, and integrations with third-party tools. As a small team, we focus on building systems that make data accessible and useful across Linear. We’re looking for someone who wants to help shape how we architect, build, and use data as we grow.
Location & work mode
Linear is a remote-first company, with optional co-working offices in San Francisco, New York, and London. This role is open to candidates based in North America. You can work from anywhere within this region. We value deep focus and async collaboration, with intentional moments to connect in person through team off-sites, optional co-working, and occasional travel.
What you’ll do
- Work across Product and GTM (Marketing, Sales, Customer Success, and Finance) to turn ambiguous questions and operational needs into useful metrics, models, analyses, and workflows
- Build and maintain dbt models and pipelines that create trusted views of our product, customers, and business
- Design clear, maintainable data models and improve the testing, documentation, performance, and reliability of our data stack
- Build dashboards and self-service reporting in Metabase and Hex, and dig deeper when the answer requires more than a chart
- Operationalize data through reverse ETL and partner with GTM Engineering on the scoring, segmentation, automations, and internal tools that help our teams scale
- Balance fast, pragmatic answers with durable solutions, recognizing when a one-off request should become a reusable model or workflow
- Find ways to leverage emerging tools, LLMs, and coding agents to accelerate development, analysis, testing, and documentation while maintaining a high bar for correctness
What we're looking for
- 8+ years of experience in analytics engineering, data analytics, or data engineering, ideally at a fast-moving software company
- Exceptional SQL and strong hands-on experience with dbt and a modern cloud data warehouse
- Track record of owning data projects end-to-end, from shaping an ambiguous problem to shipping something people rely on
- Strong data modeling judgment: you think clearly about grain, reusable components, interfaces, dependencies, and maintainability without relying on a single prescribed methodology
- Analytical judgment: you know when to answer quickly, when to investigate deeply, and how to turn complex findings into a clear recommendation
- Comfortable moving between technical implementation and business context, from debugging a data model to understanding product adoption or sales efficiency
- High ownership mentality: self-directed, pragmatic, and willing to challenge a request or approach when something does not make sense
- Strong communication skills and experience partnering directly with both technical and non-technical teams
- Comfortable using LLMs and coding agents as part of your day-to-day development workflow
Our tech
This stack reflects the systems you’ll work in. You’re not expected to have experience with everything listed, but you should be comfortable learning quickly and working across the full lifecycle of data.
- Data Warehouse: Snowflake, dbt Cloud
- Dashboards / Analysis: Metabase, Hex
- ETL / rETL: Hevo, Fivetran
- GTM tools: Hubspot, Pocus, Clay
What we offer
We're a small, focused team that cares deeply about the quality of our work and the people we do it with. Here's what you can expect:
- Competitive salary and equity
- Employee-friendly equity terms including early exercise in the US and extended exercise windows
- Daily meal and coffee stipend on every workday
- Paid co-working space or desk
- Health coverage (based on country requirements)
- 5 weeks paid vacation, plus local statutory holidays
- 4 months paid parental leave
- Paid month off after 4 years & every 2 years thereafter
- Regular team events and off-sites
- Remote-first with no required commute
Compensation
For US-based candidates, the expected cash compensation range for this role is $192,000—$208,000. For sales roles, this range represents on-target earnings (OTE), including base salary and variable compensation; for all other roles, it represents base salary. Final compensation is determined based on job-related knowledge, skills, and experience. For sales roles, actual earnings vary based on sales performance. Equity is a meaningful part of all offers at Linear.
Learn how we think and work
- A story about our mission: Read Me https://linear.app/readme
- Our hiring process: How we hire at Linear https://linear.app/now/how-we-hire-at-linear
- How we work: Designing remote work at Linear https://linear.app/now/designing-remote-work-at-linear
- How Linear uses Linear: How our Customer Experience team works in Linear https://linear.app/now/cx-in-linear
- A video series: Conversations on Quality https://linear.app/quality
- Building our teams: Why and how we do work trials at Linear https://linear.app/blog/why-and-how-we-do-work-trials-at-linear
- Our recent tender offer: Sharing Linear’s growth with the people building it https://linear.app/now/sharing-growth-with-the-people-building-linear
Linear is an equal opportunity employer. We do not discriminate based on race, color, religion, gender identity or expression, sexual orientation, national origin, age, disability, veteran status, or any other protected characteristic under applicable law.
Location: San Francisco, CA; US - Remote; New York, NY; Atlanta, GA
Workplace: OnSite
ABOUT US
Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia.
We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do.
Our co-founders are Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/. Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google’s AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace.
WHAT YOU'LL DO
- GTM technical expert: Own the end-to-end technical pre-sales process by scoping customer use cases, articulating business value, designing and demoing Sierra’s incredible platform, leading technical and architecture reviews, and serving as the trusted technical expert throughout the sales cycle.
- Cross-functional work: You will work directly with our Sales, Product and Agent Engineering teams to both drive our GTM function, as well as continuously improve our Agents through our customer-driven product development philosophy.
- Lead & support our customers: As a GTM and technical leader in the earliest conversations with our future customers, you will both understand and anticipate their needs to continue our industry-leading AI solution.
WHAT YOU'LL BRING
- Language fluency - professional fluency in both Spanish and English
- 5-7+ years experience in Sales Engineering, Solutions Engineering or customer-facing technical sales.
- Past experience in demo building, and presenting, and working with customers or clients in the GTM function.
- Experience in relationship-building with potential customers, including executives and technical leaders.
- Experience in leading the sales process with Enterprise customers.
- Ability to connect a prospect’s specific business problems and Sierra’s solutions and explain them to both a technical and non-technical audience
- Ability to leverage AI tools efficiently as a regular part of your technical sales motion — discovery prep, solution design, demo and prototype building, technical proposals. With that, you know where these tools can help and where human judgment still is required. Importantly, you own the accuracy of anything you put in front of a customer, whether or not AI helped you build it. This ownership looks like us not saying "[AI tool of choice] built this", but "I built this with [AI tool of choice]."
- Bachelor's Degree or above; bonus if in Computer Science or related field, or equivalent professional experience.
EVEN BETTER...
- Experience translating code, technical logic and user requirements to product and engineering requirements.
OUR VALUES
- Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work.
- Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it.
- Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve.
- Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time.
- Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements.
WHAT WE OFFER
We want our benefits to reflect our values and offer the following to full-time employees:
- Flexible (unlimited) paid time off
- Medical, dental, and vision benefits for you and your family
- Life insurance and disability benefits
- Retirement plan dependent on country of employment
- Parental leave
- Fertility and family building benefits through Carrot
- Lunch, as well as delicious snacks and coffee to keep you energized
- Discretionary benefit stipend giving people the ability to spend where it matters most
- Free alphorn lessons
These benefits are further detailed in Sierra's policies, may vary by region, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies.
BE YOU, WITH US
We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply even if your experience doesn't precisely match the job description. We strive to evaluate all applicants consistently without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.
Location: San Francisco, CA; US - Remote; New York, NY; Atlanta, GA
Workplace: OnSite
ABOUT US
Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia.
We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do.
Our co-founders are Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/. Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google’s AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace.
WHAT YOU'LL DO
- GTM technical expert: Own the end-to-end technical pre-sales process by scoping customer use cases, articulating business value, designing and demoing Sierra’s incredible platform, leading technical and architecture reviews, and serving as the trusted technical expert throughout the sales cycle.
- Cross-functional work: You will work directly with our Sales, Product and Agent Engineering teams to both drive our GTM function, as well as continuously improve our Agents through our customer-driven product development philosophy.
- Lead & support our customers: As a GTM and technical leader in the earliest conversations with our future customers, you will both understand and anticipate their needs to continue our industry-leading AI solution.
WHAT YOU'LL BRING
- Language fluency - professional fluency in both Brazilian Portuguese and English
- 5-7+ years experience in Sales Engineering, Solutions Engineering or customer-facing technical sales.
- Past experience in demo building, and presenting, and working with customers or clients in the GTM function.
- Experience in relationship-building with potential customers, including executives and technical leaders.
- Experience in leading the sales process with Enterprise customers.
- Ability to connect a prospect’s specific business problems and Sierra’s solutions and explain them to both a technical and non-technical audience
- Ability to leverage AI tools efficiently as a regular part of your technical sales motion — discovery prep, solution design, demo and prototype building, technical proposals. With that, you know where these tools can help and where human judgment still is required. Importantly, you own the accuracy of anything you put in front of a customer, whether or not AI helped you build it. This ownership looks like us not saying "[AI tool of choice] built this", but "I built this with [AI tool of choice]."
- Bachelor's Degree or above; bonus if in Computer Science or related field, or equivalent professional experience.
EVEN BETTER...
- Experience translating code, technical logic and user requirements to product and engineering requirements.
OUR VALUES
- Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work.
- Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it.
- Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve.
- Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time.
- Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements.
WHAT WE OFFER
We want our benefits to reflect our values and offer the following to full-time employees:
- Flexible (unlimited) paid time off
- Medical, dental, and vision benefits for you and your family
- Life insurance and disability benefits
- Retirement plan dependent on country of employment
- Parental leave
- Fertility and family building benefits through Carrot
- Lunch, as well as delicious snacks and coffee to keep you energized
- Discretionary benefit stipend giving people the ability to spend where it matters most
- Free alphorn lessons
These benefits are further detailed in Sierra's policies, may vary by region, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies.
BE YOU, WITH US
We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply even if your experience doesn't precisely match the job description. We strive to evaluate all applicants consistently without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.
Location: 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
As an AV Operations Specialist, you'll be accountable for how the AV spaces perform, how support requests get resolved, and how events land in the space you're responsible for. This role will help own all areas within the AV landscape. In a given week you might execute a preventative maintenance sweep across a floor of conference rooms, work the support queue and drive a recurring failure to root cause, and then run technical coverage for an all-hands or an executive presentation that evening.
You'll be the regional presence our AV Engineering and Production teams build on — the person who catches problems before users report them, and who turns what you learn on the ground into standards the rest of the team can run from. Your work directly enables the collaboration and transparency that advance our AI safety mission.
Responsibilities
Site Ownership & Room Health
Serve as the AV owner for your office — accountable for the health, readiness, and performance of every room and event space in the building
Execute preventative maintenance programs and recurring room sweeps on a defined cadence, not only in response to tickets
Maintain accurate inventory of room systems, peripherals, wireless microphones, cameras, and portable production gear, including spares strategy and replacement cycles
Coordinate AV scope for office moves, room reconfigurations, and new-space readiness in partnership with Workplace and AV Engineering
Know your estate: maintain the room documentation, as-builts, and site-specific gotchas that make your office supportable by anyone on the team
Support Operations
Help own the AV support queue — triage, prioritization, resolution, and escalation with clear diagnostic context
Participate in the regional AV on-run rotation (West, East, or EMEA), covering AV issues during local business hours alongside the daily room-check discipline
Systematically isolate faults to a point in the signal chain rather than reaching for reboots and cable swaps
Drive recurring issues to root cause and surface them to AV Engineering as candidates for platform-level or design-level fixes
Contribute to runbooks, standard operating procedures, and knowledge base documentation that other technicians follow
Event Support & Production
Provide technical coverage for live and hybrid events in your office — from small executive presentations and team meetings through to all-hands and company-wide broadcasts
Operate event production systems including audio consoles, video switchers, camera systems, playback, and streaming encoders
Run pre-event readiness: walkthroughs, rehearsals, source checks, gear staging, and failover planning
Handle scoping conversations with requesters — translating what a stakeholder wants the event to feel like into an equipment and staffing plan that fits the team's SLA
Turn novel one-off events into repeatable standards — a template, runbook, or gear list that makes the next one easier for the whole team
Vendor Direction & Cross-functional Partnership
Direct AV integrators, contractors, and event labor on site, holding them to defined scope, SLAs, and quality standards
Partner with Workplace, Events, and IT on lead times, expectations, and readiness
Act as the regional feedback loop to AV Engineering — what's failing, what's missing, and what the standard should be
Communicate status, risk, and resolution to non-technical stakeholders in clear, calm, jargon-free language
You May Be a Good Fit If You:
Have 8+ years of hands-on experience in AV operations, workplace technology, or technical event support
Have owned a standing estate — the same rooms, the same stakeholders, week over week — and were accountable for how those spaces performed over time
Bring working fluency across room systems, event audio, video, camera, and streaming, with enough depth to diagnose problems rather than only report them
Are comfortable being the only AV person in the building, and can prioritize independently across maintenance, support, and events
Bring structure to ambiguity — checklists, intake processes, maintenance cadences, and documentation
Are energized rather than drained by being the front-facing technical partner to executives, event producers, and everyone else who walks up to you in a hallway
Take ownership end-to-end, from noticing a recurring failure to getting it permanently fixed
Thrive in a fast-moving environment where standards are being written rather than inherited
Strong Candidates May Also Have Experience With:
Q-SYS DSP platforms — comfortable navigating and reasoning about existing audio/video routing and control designs
Logitech CollabOS and Sync, Google Meet hardware, Zoom Rooms, and enterprise room system administration
Preventative maintenance and room-sweep programs across a distributed room fleet
Broadcast video switchers such as Blackmagic ATEM, Ross Carbonite, or NewTek TriCaster
Digital audio mixing consoles such as Yamaha DM7 or CL/QL series, and Shure wireless systems
PTZ camera systems and multi-camera workflows
Ticketing and workflow systems such as Jira, and participation in an on-run rotation
Coordinating AV contractors, integrators, and labor for site support and event coverage
CTS certification or equivalent demonstrated capability
Role Specific Location Policy:
This role will be based in our New York office
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 may be expected for this role for distributed support, office buildout support, and event coverage 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:
$230,000
—
$285,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
San Francisco, CA | New York City, NY
ОфисleadUK, London
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New York City, NY; Execute preventative maintenance programs and recurring room sweeps on a defined cadence, not only in response to tickets
