Location: GE; PL
Workplace: remote
Overview:
SOFTSWISS is looking for an Incident Response Analyst to join our on-call incident response team. In this role, you will respond to and investigate security incidents across the company, coordinate incident response with relevant teams, and help ensure timely and effective resolution of incidents
.
Key responsibilities:
Participation in security incident response
Performing basic primary incident response measures/triage
Execution (and monitoring of execution) of tasks assigned based on planning results
Development and updating of playbooks for alert verification
Monitoring alerts in compliance with SLA
Submitting proposals for optimizing tools and processes used
The position operates on a 2-on-2-off shift pattern, encompassing a 12-hour day shift, a 12-hour night shift the next day, and 2 free days after that
Required Experience:
Basic indicator of compromise (IoC) analysis skills using publicly available tools (VirusTotal, AnyRun, etc.)
Experience working with Splunk/Clickhouse/SQL at the level of writing simple search queries and interpreting results
Experience working with SOAR/IRP
General understanding of current cyber threats and main attack methods
Basic programming skills in Python, PowerShell, or Bash for automating routine tasks
Knowledge of operating systems (Linux/Windows) at a junior system administrator level
Understanding of the MITRE ATT&CK framework and Cyber Kill Chain
Ability to analyze and process large volumes of data, including logs and triage
Strong communication and teamwork skills: able to clearly articulate thoughts, ask relevant questions, and effectively collaborate with colleagues across different teams, especially during incident response
Analytical and flexible mindset: able to approach issues from different perspectives, build logical chains, make informed decisions, and independently suggest solutions
Proactivity and ownership: takes responsibility for decisions and results, double-checks own work, learns from mistakes and feedback, and actively develops professional skills
Nice to have:
Knowledge of information security best practices (NIST, ISO) and ability to cite them when necessary
Basic knowledge of Docker and Kubernetes, understanding their monitoring features
Experience writing correlation rules in SIEM
Experience with NTA (Network Traffic Analysis) tools
Experience working with online reputation services (VT, AnyRun, IPAbuseDB, etc.)
Experience developing instructions for alert verification and/or writing information security incident response scenarios
Experience with Kafka, ELK, Graylog, etc
Strong Linux system administration experience
Expertise in network, host, and cloud-based analysis and investigation
A strong understanding of attack pipelines (MITRE ATT&CK Framework, Cyber Kill-Chain)
Familiarity with CI/CD, software development lifecycle, and Infrastructure-as-Code (Terraform/Ansible/etc)
Proficiency in automation (Bash/PowerShell, Python)
Experience with log collection, delivery, and normalization
Strong knowledge of open-source solutions for endpoint & infrastructure security, such as Audit.d, Sysmon, AppArmor, SELinux, etc
Fundamental static and dynamic malware analysis skills
Offensive experience (penetration testing, red teaming)
Main Advantages
Private health insurance
Sports benefits
Comprehensive Mental Health Program
Free English lessons (online)
Local language courses
Paid time off
Maternity leave support
Referral program rewards
Upskilling, internal workshops, and participation in professional conferences and corporate events
Location: Spain, Remote
Workplace: remote
The Trainer is our pedagogical and platform expert within the Professional Services (PS) team. Your mission is to empower our clients to build Collaborative Learning organizations by mastering our platform and methodology. You aren't a technical expert; you are a pedagogical and platform expert who ensures that clients don’t just "use" the software, but master it to drive long-term engagement.
By owning our "One-to-Many" offer (Engagement Academy & Stadium webinars), you ensure that every client, from their first day of implementation, has the knowledge and confidence to make their project a success. You don't just deliver content; you develop a scalable learning ecosystem that ensures every client gets the best start possible by mastering our Collaborative Learning methodology.
You will work closely with the Customer Success Team and Product teams to ensure our training offer addresses the actual friction points and needs of our client base.
Within 1 month, you will:
Master our Platform's core user experience and the Collaborative Learning methodology
Become a platform expert (from a user & admin perspective) and get certified on our methodology.
Shadow existing Stadium webinars and Academy workflows to understand the current "One-to-Many" engine.
Connect with colleagues worldwide through virtual coffee chats and team-building activities.
Within 3 months, you will:
Host your Stadium webinars and receive peer feedback on your ability to drive platform engagement.
Identify and execute your updates on the Engagement Academy to align with the latest product releases.
Define your quarterly priorities in relation to the Support & Services roadmap with your coach.
Actively contribute to our internal knowledge base (Confluence) to share best practices on platform usage and client engagement.
Within 6 months, you will:
Lead a project to improve the One-to-Many strategy (e.g., new webinar formats, gamification of the Academy, or localized content).
Participate in Discovery Meetings with Product Managers to share insights on how clients actually
use
and
adopt
the platform.
Analyze Academy completion rates and Stadium satisfaction scores to iterate on the training Catalog.
Build new processes and update Confluence with the information needed for the team's daily work.
Within 12 months, you will:
Onboard and mentor new Trainers, teaching them how to turn platform features into compelling learning stories.
Take full ownership of a recurring team pillar (e.g.,being the internal referral for complex solution training).
Develop advanced toolkits and training paths based on the most successful client use cases.
The Skills Set:
3+ years of successful experience as a Trainer OR successful client-facing experience in Customer Success/Care.
You are recognized for your listening and teaching skills
You express your ideas in a clear and concise manner, both in writing and orally
You are proactive and prefer working in a strong results-oriented culture
A past experience in the learning industry is a plus
You have excellent overall writing skills in a number of different styles/tones, and impeccable spelling and grammar in German and English.
Enthusiasm for our working environment explained here:
https://bit.ly/Convexity360L
What we offer:
Compensation:
Package includes base salary and a variable component 📈
Benefits:
Work From Home allowance, social security, health insurance, unemployment insurance, common contingency, salary guarantee fund, lunch vouchers. Leave requests are subject to local policies.
Balance:
Flexible hours, Total work from home possible anywhere in Spain 🏠
Diversity, Equity, and Inclusion
: We have 6 active ERGs including Mental Health, Environmental/Sustainability, Women, Parents, LGBTQIA2S+, and Ethnic Diversity. Each group has at least one executive team member serving as a member of the group, bringing greater awareness to each group’s activities and providing a quick path to impact 🤝
Corporate Social Responsibility
: Review our CSR Charter: 360learning.com/blog/corporate-social-responsibility-charter 🌎🌏🌍
Culture:
A framework that will help you make an impact - envision our way of working and our Convexity Culture:
https://bit.ly/Convexity360L
& find out more about the teams, product and processes
https://bit.ly/42H1ggC
🚀👩🏻💻🏆
Interview Process:
Phone Screen with our Talent Acquisition Manager
Discovery Meeting with our LEC Coach
Case Study Meeting with our LEC Coach and a member of the team
Clarification Meeting with our Head of professional Services EMEA
Culture Fit Meeting with our VP Global Professional Services
Offer !
Who We Are
360Learning enables companies to upskill from within by turning their experts into champions for employee, customer, and partner growth. With our LMS for collaborative learning, Learning & Development teams can accelerate upskilling with the help of internal experts instead of slow top-down training. 360Learning is the easiest way to onboard and upskill employees, train customer-facing teams, and enable customers and partners–all from one place.
360Learning powers the future of work at 1,700 organizations. Founded in 2013, 360Learning has raised $240 million with 400+ team members across North America and EMEA.
Learning Includes Everyone.
In concert with our culture, 360Learning believes learning includes everyone and that means embracing the strengths of diversity, connectedness, and inclusion. Through conscientious efforts, our global footprint celebrates cultures, perspectives, and experiences from all over the world to support our platform that is built for all regardless of race, ethnicity, gender identity or expression, sexual orientation, religion, age, neurodiversity, disability status, citizenship, veteran status or any other aspect which makes an individual unique or protected by laws and regulations in the locations where we operate. Thus, 360Learning is proud to be an equal opportunity workplace, and we commit to continue this throughout our processes for recruitment, compensation, benefits, performance, promotion, and all other conditions and terms of employment. We want to learn from and with you!
Location: Berlin, Remote
Workplace: remote
The Trainer is our pedagogical and platform expert within the Professional Services (PS) team. Your mission is to empower our clients to build Collaborative Learning organizations by mastering our platform and methodology. You aren't a technical expert; you are a pedagogical and platform expert who ensures that clients don’t just "use" the software, but master it to drive long-term engagement.
By owning our "One-to-Many" offer (Engagement Academy & Stadium webinars), you ensure that every client, from their first day of implementation, has the knowledge and confidence to make their project a success. You don't just deliver content; you develop a scalable learning ecosystem that ensures every client gets the best start possible by mastering our Collaborative Learning methodology.
You will work closely with the Customer Success Team and Product teams to ensure our training offer addresses the actual friction points and needs of our client base.
Within 1 month, you will:
Master our Platform's core user experience and the Collaborative Learning methodology
Become a platform expert (from a user & admin perspective) and get certified on our methodology.
Shadow existing Stadium webinars and Academy workflows to understand the current "One-to-Many" engine.
Connect with colleagues worldwide through virtual coffee chats and team-building activities.
Within 3 months, you will:
Host your Stadium webinars and receive peer feedback on your ability to drive platform engagement.
Identify and execute your updates on the Engagement Academy to align with the latest product releases.
Define your quarterly priorities in relation to the Support & Services roadmap with your coach.
Actively contribute to our internal knowledge base (Confluence) to share best practices on platform usage and client engagement.
Within 6 months, you will:
Lead a project to improve the One-to-Many strategy (e.g., new webinar formats, gamification of the Academy, or localized content).
Participate in Discovery Meetings with Product Managers to share insights on how clients actually
use
and
adopt
the platform.
Analyze Academy completion rates and Stadium satisfaction scores to iterate on the training Catalog.
Build new processes and update Confluence with the information needed for the team's daily work.
Within 12 months, you will:
Onboard and mentor new Trainers, teaching them how to turn platform features into compelling learning stories.
Take full ownership of a recurring team pillar (e.g.,being the internal referral for complex solution training).
Develop advanced toolkits and training paths based on the most successful client use cases.
The Skills Set:
3+ years of successful experience as a Trainer OR successful client-facing experience in Customer Success/Care.
You are recognized for your listening and teaching skills
You express your ideas in a clear and concise manner, both in writing and orally
You are proactive and prefer working in a strong results-oriented culture
A past experience in the learning industry is a plus
You have excellent overall writing skills in a number of different styles/tones, and impeccable spelling and grammar in German adn English
Enthusiasm for our working environment explained here:
https://bit.ly/Convexity360L
What we offer:
Compensation:
Package includes base salary, a variable component and equity 📈
Benefits:
Work From Home perks, 1 month parental leave for the second parent.
Balance:
Flexible hours, Total work from home possible anywhere in Germany 🏠
Diversity, Equity, and Inclusion
: We have 6 active ERGs including Mental Health, Environmental/Sustainability, Women, Parents, LGBTQIA2S+, and Ethnic Diversity. Each group has at least one executive team member serving as a member of the group, bringing greater awareness to each group’s activities and providing a quick path to impact 🤝
Corporate Social Responsibility
: Review our CSR Charter: 360learning.com/blog/corporate-social-responsibility-charter 🌎🌏🌍
Culture:
A framework that will help you make an impact - envision our way of working and our Convexity Culture:
https://bit.ly/Convexity360L
& find out more about the teams, product and processes
https://bit.ly/42H1ggC
🚀👩🏻💻🏆
Interview Process:
Phone Screen with our Talent Acquisition Manager
Discovery Meeting with our LEC Coach
Case Study Meeting with our LEC Coach and a member of the team
Clarification Meeting with our Head of professional Services EMEA
Culture Fit Meeting with our VP Global Professional Services
Offer !
Who We Are
360Learning enables companies to upskill from within by turning their experts into champions for employee, customer, and partner growth. With our LMS for collaborative learning, Learning & Development teams can accelerate upskilling with the help of internal experts instead of slow top-down training. 360Learning is the easiest way to onboard and upskill employees, train customer-facing teams, and enable customers and partners–all from one place.
360Learning powers the future of work at 1,700 organizations. Founded in 2013, 360Learning has raised $240 million with 400+ team members across North America and EMEA.
Learning Includes Everyone.
In concert with our culture, 360Learning believes learning includes everyone and that means embracing the strengths of diversity, connectedness, and inclusion. Through conscientious efforts, our global footprint celebrates cultures, perspectives, and experiences from all over the world to support our platform that is built for all regardless of race, ethnicity, gender identity or expression, sexual orientation, religion, age, neurodiversity, disability status, citizenship, veteran status or any other aspect which makes an individual unique or protected by laws and regulations in the locations where we operate. Thus, 360Learning is proud to be an equal opportunity workplace, and we commit to continue this throughout our processes for recruitment, compensation, benefits, performance, promotion, and all other conditions and terms of employment. We want to learn from and with you!
Location: San Francisco, CA | New York City, NY | Seattle, WA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
We are seeking a Recruiting Analytics Data Engineer to join our People Data Solutions team, focusing on building and maintaining the data infrastructure that powers our recruiting analytics capabilities. You'll be the technical foundation for our recruiting analytics team, designing scalable data architectures and implementing robust data models that enable evidence-based decision-making across Anthropic.
This role sits at the intersection of data engineering and recruiting analytics - you'll build the technical foundation for insights about recruiting funnels, interviews, and workforce planning while working with a team that's actively experimenting with AI to transform how we understand and support our workforce.
Key responsibilities
Data Infrastructure & Modeling
Refactor and optimize our existing BigQuery tables to create a scalable data foundation that supports and enables AI-driven data insights across the company
Design scalable data architectures and build dimensional models that transform raw HR data into trusted, reusable datasets for self-serve analytics while maintaining performance
Implement data governance including documentation, lineage tracking, quality monitoring, and proactive alerting systems
Ensure appropriate data access controls including row and column-level security for sensitive candidate data
Pipeline Development & Integration
Build and maintain ETL/ELT pipelines using dbt and Google BigQuery to integrate data from our HRIS (Workday), ATS (Greenhouse), and internal tools
Create reliable data flows that handle both real-time needs and batch processing requirements
Design fault-tolerant data pipelines with proper error handling and monitoring to ensure data freshness
Automate data quality checks and validation across all pipelines
Analytics Engineering & Modeling
Develop semantic layers and comprehensive documentation that make complex recruiting data accessible to non-technical users
Build data products that standardize key metrics like offer accept rate, time to fill, and headcount movement
Partner with data scientists, software engineers, recruiting teams, and various other stakeholders to build scalable data models that serve needs across the company
Minimum qualifications
Are an expert in BigQuery including optimization and partitioning
Have built dimensional models and understand slowly changing dimensions
Are proficient in SQL, Python, and modern tools like dbt and Fivetran
Have implemented data security and privacy controls in cloud warehouses
Can translate HR concepts into scalable data models
Communicate effectively with both technical and business stakeholders
Preferred qualifications
Have 5+ years in data engineering
Familiarity with ATS platforms (Greenhouse, Lever) and their data structures
Experience with building semantic layers for data agents
Experience building data pipelines for survey data and text analytics
Knowledge of graph databases or network analysis libraries
Background in privacy-enhancing technologies or sensitive data handling
Previous experience in high-growth technology companies or AI/ML organizations
Familiarity with workforce planning and predictive analytics use cases
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
—
$380,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: San Francisco, CA | New York City, NY
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
We're looking for a product marketer to join the Claude Platform Product Marketing team. You'll drive go-to-market for launches across the platform, from new API features and developer tools to the capabilities that ship with new models.
In this role, you'll partner with Product to bring new capabilities to market, write the positioning and messaging that explain what each one does and who it's for, and give Sales the narratives and materials they need to win technical deals. If you've run launches for developer platforms, API products, or technical infrastructure and want to launch new capabilities every week, this role is for you.
Responsibilities
Lead end-to-end go-to-market planning and execution for new platform products, features, and capabilities
Develop compelling product messaging, positioning, and value propositions aligned with technical audience needs
Drive product launches that generate market momentum, from flagship releases to incremental feature updates
Design and implement developer marketing campaigns to drive API adoption and platform usage
Support sales enablement initiatives that equip our teams to win: battlecards, pitch materials, customer stories, and objection handling
Partner with Product to shape roadmap priorities based on competitive intel, customer research, and field feedback
Work closely with Developer Relations, Comms, Creative, Marketing, and Sales to effectively bring new products to market
Minimum requirements
Have a proven track record of developing and executing go-to-market strategies for API products or developer tools, including successful product launches
Have a strong technical background with the ability to understand and communicate complex AI features to both technical and non-technical audiences
Excel at cross-functional collaboration, particularly in aligning Product, Sales, and Marketing strategies
Possess strong storytelling skills with a demonstrated ability to create diverse marketing content, including blogs, presentations, sales collateral, website copy, and customer case studies
Have exceptional writing skills with a demonstrated ability to adapt tone, style, and complexity for diverse audiences (executives, technical users, end customers) and formats (long-form content, product briefs, email campaigns, social media)
Preferred requirements
Have 10+ years of product marketing experience and at least 5 years focused on developer platforms, APIs, or technical products
Experience in highly competitive markets requiring sharp differentiation
A background in marketing AI/ML products or developer tools to enterprise buyers
Experience working closely with Sales teams on strategic, technical deals
Role-specific policy:
For this role, we expect all staff to be able to work from our San Francisco or New York office at least 2 days a week. We encourage you to apply even if you might need some flexibility for an interim period of time for relocation.
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
—
$320,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: United States
Workplace: Remote
ABOUT MATTER LABS
Matter Labs builds private cryptographic infrastructure that lets regulated institutions settle directly with each other without exposing data, ceding control, or waiting days. Global finance moves $4 quadrillion a year on systems designed for paper and telex. The institutions that built them - from clearing houses to exchanges to the world's largest banks, institutions are now actively replacing them. We're building what comes next.
Our core product, Prividium, gives each institution its own private environment (a Prividium Zone) with independent governance and built-in interoperability across counterparties, asset classes, and jurisdictions. Interoperability happens through zero-knowledge proofs: one party proves a transaction is valid without revealing any underlying data to the counterparty. The only private settlement infrastructure built on zero-knowledge cryptography.
Founded in 2018. Backed by a16z and Union Square Ventures. A fully remote team of around 70 with eight years of production zero-knowledge infrastructure behind us, now pointed at the biggest problem in institutional finance.
THE ROLE
You will be a product engineer embedded with our institutional customers, taking Prividium from a signed deal to a live chain inside their environment. Our customers include banks, custodians, and clearing houses whose existing systems carry years of regulatory, audit, and operational requirements.
Your job is to uncover those requirements, design an end-to-end solution, and work with the customer's engineers to bring it into production. You will make recommendations, challenge requests that do not solve the underlying problem, and identify what should become part of the platform.
We are hiring two product engineers to design and deliver complete customer solutions. Both need the judgment and technical depth to own customer work independently, from initial discovery through production
WHAT YOU WILL DO
- Work with customers to clarify their needs and design the whole solution across authorization, data layers, integrations, and deployment.
- Make product decisions: investigate the underlying problem, quantify the need, and recommend what to build and what to defer.
- Own delivery from the first conversation through production, including integration code, permissioning, upgrade paths, and the customer's runbook. Work can span DevOps, frontend, and integrations, and you will learn what is needed to finish it.
- Build working reference applications that prove use cases such as collateral movement, tokenized deposit transfer, and settlement flows, and can be adapted for subsequent customers.
- Triage customer issues, including problems in self-hosted environments. Diagnose what you can resolve, distinguish configuration issues from platform problems, and bring engineering or on-call support in when needed.
- Participate in a shared on-call rotation covering Prividium and our hosted services.
- Work with Product, Sales, and core engineering on which accounts to go deep on and which solutions should become reusable platform capabilities.
WHAT WE ARE LOOKING FOR
- A record of designing and shipping complete systems used by real customers. You can explain the architecture, the decisions you made, and what you personally owned.
- Product judgment and systems thinking. You can turn an ambiguous customer problem into a solution, explain the trade-offs, and choose an appropriate scope.
- The ability to write, debug, and maintain production software, with fluency in a language such as TypeScript, Rust, Go, Java, C#, or Python. You can pick up our stack and adapt to unfamiliar technologies.
- Experience owning and operating production software, including responding to incidents. You take responsibility for how the solution works after it ships.
- Customer communication and independent judgment. We should be able to trust you to work with a customer for a week, make progress, and recognize when to ask for help.
- Curiosity about the problem and the product. You investigate difficult or unfamiliar parts of the work, seek out what you need to learn, and can explain why you made a particular design choice.
- An understanding of how large organizations work, including documentation, identity and entitlements, enterprise authentication and networks, controls, and operational expectations.
Your experience could come from product engineering, forward deployed engineering, solutions architecture, enterprise transformation, infrastructure engineering, or founding a company. We value evidence of ownership, adaptability, and working products across those backgrounds. Startup experience is a plus, but it is not required.
WORK MODEL & PAY
- Competitive base salary
- Performance-based variable compensation and a long-term token incentive are additional. Both are paid in ZK tokens. New-hire token grants vest over four years with a one-year cliff.
- Fully remote, with roughly 10 to 25 percent travel to customer sites depending on which accounts you carry.
- Shared on-call rotation covering Prividium and our hosted services. Everyone in this role is on it.
- Our customers are in North America and Europe, so we need working-hours overlap with those time zones.
Location: San Francisco, California; Los Angeles, California; San Diego, California
Workplace: Remote
Temporal is a paradigm shift in modern application development, and one of the fastest developer movements in recent memory. We recently raised our $550M Series E to power the future of durable applications, and have become the orchestrator of choice for production agentic workloads.
In this role, you will own key accounts, navigate complex organizations and sell to highly technical stakeholders. You will lead with our hybrid value proposition, helping customers adopt both Temporal Cloud and self-hosted Temporal to meet their unique operational, regulatory, and performance requirements.
As a strategic partner to these organizations, your focus will be to guide them through adoption of Temporal as an enterprise-wide standard, leading with a services-first engagement model. You will work closely with our Resident Architects, partners, and cross-functional teams to deliver a unified enterprise experience that builds stakeholder trust and drives delivery against key business and technical objectives.
Come work with some of the brightest minds in the tech industry and help transform how modern applications are built. You will contribute to the growth of a category-defining company at the forefront of innovation.
WHAT YOU'LL DO
- Own and manage the entire sales lifecycle, from prospecting to close, with a focus on acquiring and expanding our presence within strategic accounts
- Develop and execute strategic account plans to land and expand within large enterprise organizations
- Position Temporal as a mission-critical platform supporting high-performance, resilient workloads with strict SLA and uptime requirements
- Engage with technical stakeholders to understand their operational needs and map Temporal solutions to their architecture and requirements
- Navigate conversations around infrastructure, security, compliance, and performance across both SaaS and self-hosted environments
- Drive enterprise adoption by aligning Temporal to business continuity, scalability, and developer productivity initiatives
- Identify and expand high-value opportunities by embedding Temporal into the customer's platform and SDLC ecosystem
WHAT YOU'LL BRING
- 10+ years of enterprise software sales experience, with a track record of selling technical platform solutions to engineers, architects, and executives
- Experience navigating infrastructure and platforms in enterprise environments with a focus on positioning solutions to mission-critical use cases
- Ability to sell services engagements, positioning enablement, certification, and long-term operational success as the foundation of a strategic partnership
- Proven success closing deals within large, multi-stakeholder enterprise organizations with a track record of achieving or exceeding sales targets
- Strong understanding of cloud, infrastructure, and developer tooling ecosystems
- Comfort operating cross-functionally across Sales, Marketing, Product, Engineering, Legal and Solutions Architecture to support growth within key accounts
- Familiarity with consumption-based pricing models and their implications for enterprise procurement
- Outstanding communication and negotiation skills, with the ability to present complex technical concepts to both technical and executive audiences
- Entrepreneurial mindset with a passion for solving large-scale customer challenges in a fast-paced, high-growth environment
Temporal Technologies is an Equal Opportunity Employer. Temporal Technologies does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status, or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need. We embrace and celebrate differences and diversity.
Temporal is committed to providing access, equal opportunity, and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. If you need to request a reasonable accommodation, please let your Recruiter know so we can assist.
Задачи:
— писать контент на английском: посты, треды, статьи, туториалы и кейсы;
— развивать X, Reddit, GitHub, Discord и другие AI-комьюнити;
— запускать коллаборации с AI-компаниями, KOLs и разработчиками;
— работать с email, SEO и органическим ростом;
— тестировать маркетинговые гипотезы и анализировать результат в GA4, PostHog и других инструментах;
— создавать короткие видео и простую графику.
Требования:
— от 1 года опыта в digital, community или content marketing;
— английский B2+;
— понимание культуры X, Reddit, Discord;
— сильные навыки письменной коммуникации;
— базовое понимание аналитики и UTM;
— самостоятельность, инициативность и интерес к AI/Tech.
Будет плюсом:
— опыт с AI, SaaS, developer tools или open-source;
— понимание AI/LLM, developers, self-hosted и локальных моделей;
— SEO, GA4, Google Ads;
— опыт работы с технической аудиторией, KOLs и международными партнёрами;
— техническое или математическое образование.
Условия:
— международные AI-продукты и глобальную аудиторию;
— прямое взаимодействие с CMO и продуктовой командой;
— возможность быстро вырасти в Marketing Manager;
— обучение за счёт компании;
— 28 дней отпуска + 100% больничных;
— гибкое начало рабочего дня;
— выплаты в рублях, валюте или USDT.
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 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.
As a member of the Applied AI team at Anthropic, you will be a Forward Deployed Engineer (FDE) who embeds directly with our most strategic customers to drive transformational AI adoption. You will collaborate closely with customer teams to ship advanced AI applications that solve real world business problems. Our FDEs engage with customers to accelerate the adoption of existing products and create new applications built on our models.
Working closely with our Post-Sales, Product, and Engineering teams, you'll combine engineering expertise, an understanding of frontier AI applications, and customer-facing skills to understand customer workflows and develop innovative solutions that address complex business challenges while maintaining our high standards for safety and reliability.
You will sit at the frontier of enterprise AI deployments and serve as one of our founding FDEs who helps to shape our forward-deployed motion. We expect our FDEs to operate autonomously, thrive under ambiguity, and represent Anthropic at the highest level in customer environments. This is a significant responsibility: you’ll play a key role in championing our mission in the enterprise.
Responsibilities
Work within customer systems to build production applications with Claude models, ensuring that these products meet customer requirements.
Deliver technical artifacts for customers like MCP servers, sub-agents, and agent skills that will be used in production workflows.
Provide white glove deployment support for Anthropic products in enterprise environments.
Identify and codify repeatable deployment patterns and contribute insights back to our Product and Engineering teams.
Maintain strong knowledge of the latest developments in LLM capabilities, implementation patterns, and AI product development stacks.
Build long term relationships with customers and proactively identify new opportunities for AI deployment throughout the lifecycle of an engagement.
Travel frequently (25-50%) to customer sites to build in person with customers.
Be a champion for Anthropic’s mission in the field.
You May Be a Good Fit If You Have
4+ years of experience in a technical, customer facing role such as Forward Deployed Engineer, or as a Software Engineer with consulting or product experience. Former technical founders are also encouraged to apply.
Production experience with LLMs including advanced prompt engineering, agent development, evaluation frameworks, and deployment at scale.
Strong programming skills with proficiency in Python (and ideally in one or more additional languages like TypeScript, Java, etc) and experience shipping production applications
High agency with an ability to navigate ambiguity present in complex organizations.
High cooperation mindset for cross-organizational collaboration, balancing competing priorities with integrity.
Passion for advancing safe, beneficial AI systems through creative technical applications.
Strong communication skills to conduct discovery with customers and to convey technical concepts to diverse stakeholders while maintaining a low ego and collaborative approach.
A background in financial services, healthcare/life sciences, or another enterprise vertical is a plus.
Experience with enterprise IT systems and/or AI deployment patterns is a plus.
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:
£225,000
—
£255,000 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.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Продукты:
— Atomic Agent — open-source local-first AI-агент, работающий на устройстве пользователя.
— AI/ML API — платформа с 400K+ пользователей для доступа к AI-моделям через единый API.
— Atomic Bot — простой запуск OpenClaw в один клик.
Задачи:
— писать контент на английском: посты, треды, статьи, туториалы и кейсы;
— развивать X, Reddit, GitHub, Discord и другие AI-комьюнити;
— запускать коллаборации с AI-компаниями, KOLs и разработчиками;
— работать с email, SEO и органическим ростом;
— тестировать маркетинговые гипотезы и анализировать результат в GA4, PostHog и других инструментах;
— создавать короткие видео и простую графику.
Требования:
— от 1 года опыта в digital, community или content marketing;
— английский B2+;
— понимание культуры X, Reddit, Discord;
— сильные навыки письменной коммуникации;
— базовое понимание аналитики и UTM;
— самостоятельность, инициативность и интерес к AI/Tech.
Будет плюсом:
— опыт с AI, SaaS, developer tools или open-source;
— понимание AI/LLM, developers, self-hosted и локальных моделей;
— SEO, GA4, Google Ads;
— опыт работы с технической аудиторией, KOLs и международными партнёрами;
— техническое или математическое образование.
Условия:
— международные AI-продукты и глобальную аудиторию;
— прямое взаимодействие с CMO и продуктовой командой;
— возможность быстро вырасти в Marketing Manager;
— обучение за счёт компании;
— 28 дней отпуска + 100% больничных;
— гибкое начало рабочего дня;
— выплаты в рублях, валюте или USDT.
Локация: Москва / Санкт-Петербург, офис. Удалённый формат не рассматриваем.
Требуемый уровень английского: B2+.
Location: Remote-Friendly (Travel-Required) | San Francisco, CA | Seattle, WA | New York City, NY
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
Claude Code is changing how engineering organizations build software, and most of them need someone to show them how. That's you.
Technical Architects help customers get real work done with Claude Code, Claude Tag (Claude Code as an agent in Slack), and the enterprise admin controls that decide whether a rollout succeeds. You'll teach customers, partners and Anthropic's own field teams. Just as important, you'll train the trainers who carry that knowledge to everyone else.
We're hands-on AI engineers who would rather teach than sell. You'll work alongside customer engineering organizations, teaching them about Claude Code and shepherding rollouts with advanced admin knowledge. Most weeks you're in front of an audience with Claude Desktop or a terminal open: thousands of engineers on a public webinar one day, a customer's platform team in their own conference room the next week, office hours in between. The prep material often reaches you the day before.
The team is growing quickly this year, scope will grow as new products ship, and the people who join now will shape how it works.
Responsibilities
Teach in every format.
Take a standing rotation on Anthropic's public webinars in front of thousands of engineers at a time. Lead workshops and multi-day onsites, in person and virtual, built around a customer's own codebase and questions. Host office hours and multi-week cohorts where engineers, partners, and account teams bring live problems.
Teach the teachers.
Run train-the-trainer programs for customer technologists and champions, and certify them to deliver Anthropic's material.
Empower admins.
Educate enterprise admins on the technical requirements for a strong rollout by guiding them through single sign-on, permissions, connectors, spend controls, data-handling policy, and other advanced topics.
Build fast with Claude.
Turn a request into a polished deck, demo repository or plugin within a day, using the tools you teach. Explore new features the day they ship. Pick up a teammate's material and deliver it as if you wrote it.
Bring field signal back to product.
Tell the Claude Code, Claude Tag and Cowork teams what customers run into, specifically enough that they can fix it.
Be the technical voice in the room.
Partner with account executives, customer success managers, Applied AI Architects, support engineers and partner leads.
Travel.
Expect 30 to 50%, in bursts around onsites, workshops and events.
You may be a good fit if you have
5+ years as a software engineer, solutions architect, developer advocate or similar. You still ship code and regularly teach engineering audiences.
Current engineering range.
You've shipped code other people depend on. You can go deep with a senior engineer anywhere in the stack. You use Claude Code or a similar agentic tool every day and have opinions about it.
Big-stage presence.
You've held large live audiences. You sound practiced with material you got that morning, and a broken demo doesn’t faze you.
Range in one conversation.
You can go from banter to a rigorous design discussion, and both feel natural.
Care for people.
You do right by a struggling customer, and you won't leave a confused room behind.
Initiative.
You build things without waiting for permission, and you say when an idea is half-formed, including your manager's.
Steadiness
when priorities shift, timelines are short and colleagues are under pressure.
Comfort with ambiguity
in a fast-moving industry and product suite.
A stake in safe AI.
You care that large organizations deploy AI responsibly, and you want to help them do it.
You love being on the frontier.
You want to work at the edge of what’s possible and help define what comes next.
Strong candidates may also have
Depth in enterprise identity and security review (SAML, OIDC, SCIM, SOC 2, HIPAA).
Experience running Claude on Amazon Bedrock or Google Cloud Vertex AI.
Time with regulated industries or with systems-integrator partners.
A public record of technical teaching: talks, courses, videos or writing.
An interest outside technology you can talk about with the same energy.
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:
$250,000
—
$365,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: San Francisco, CA | New York City, NY
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the Role
We're building Anthropic's search platform team to create scalable, efficient search capabilities that power Claude's ability to access and retrieve information. In this role, you'll design and implement core search systems from the ground up.
Responsibilities:
Work with a small, senior team of engineers and researchers to build Anthropic’s search platform from scratch
Establish metrics and tooling to measure and improve search quality
Enhance search algorithms and indexing mechanisms to boost search accuracy and efficiency
You may be a good fit if you:
5+ years building complex distributed systems in production
Solid grasp of search fundamentals: indexing, retrieval, ranking
Strong coding skills in Python, Go, Java, or similar languages
Hands-on experience with high-volume data processing architectures
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$320,000
—
$405,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: United Kingdom
Workplace: Remote
Coder is looking for an Enterprise Account Manager to grow our diverse customer base. You’ll help bring Coder’s platform to some of the largest companies in the world, who are focused on executing AI-centric software development at scale. This role is about building trusted relationships, shaping deals, and making sure enterprise customers clearly see the value we deliver.
Day to day, you will manage the full sales cycle, from sourcing opportunities to closing contracts. You’ll work side by side with engineers, buyers, and internal partners to remove friction and move complex deals forward.
What you’ll do here
- Build and close a strong pipeline of enterprise accounts with large engineering organizations
- Generate qualified opportunities through outbound prospecting and inbound leads
- Lead compelling demos that differentiate Coder, and communicate our value with clarity and conviction
- Collaborate with Sales Engineers to deliver a thorough technical evaluation
- Partner with decision-makers and technical stakeholders throughout the sales cycle
- Travel as needed to support deals and customer relationships
What we’re looking for
- 5+ years in software sales with a strong prospecting background (ideally Developer, Agent, DevSecOps, or Cloud Native Computing Foundation (CNCF) technologies)
- 3+ years selling into Fortune 500 companies
- Experience engaging with software engineering leaders and technical decision-makers
- Understanding of DevOps, CI/CD, platform engineering, and developer tools
- Experience with GenAI & Agentic development tools (Cursor, Claude, Windsurf, Goose, Copilot, etc)
- Comfortable with outbound motion and partnering with Sales Engineers
- Track record of exceeding quota and pipeline goals
- Strong communication skills - written, verbal, and in presentations
- Familiarity with different sales cycles (startup, midsize, enterprise)
- Creative, analytical, and highly self-motivated
- Ability to travel up to 15%
Bonus tacos if you have
- A technical background or meaningful experience with open source software
- Curiosity about emerging AI workflows, developer tools, and general tech trends
About Coder
Coder is the leading platform for AI development Infrastructure, enabling enterprises to securely run human and AI-driven development workflows in consistent, governed environments. Coder provides self-hosted, agent-ready workspaces that unify developer productivity and platform governance. With Coder, enterprises can confidently evolve from human-only development to AI-assisted and autonomous workflows, without sacrificing security, compliance, or performance. Learn more at coder.com http://coder.com.
Interview process
We believe that the interview process should be transparent, consistent, and enjoyable. We value your time and hope to complete the interview process in two to four weeks, if schedules allow. Through your interviews, you will meet a mix of individual contributors, managers, and senior leaders.
AI use during the interview process
As an AI company, Coder embraces the use of AI tools, and we want to be transparent about our expectations as you navigate our interview process.
Not permitted: Using AI assistance during conversational interviews.
Permitted: Using AI tooling for take-home assessments. Please flag where and to what extent it was used in your take-home. Your submission will not be penalized for using AI as long as it is done honestly.
Coder is a proud Equal Opportunity Employer
We are committed to providing equal employment opportunities to qualified applicants and do not discriminate on the basis of race, color, ancestry, religion, sex, pregnancy, gender, gender identity, gender expression, sexual orientation, national origin, age, marital status, genetic information, disability, protected veteran status or any other characteristic protected by federal, state, or local laws.
ABOUT CODER
Coder is the leading platform for AI development Infrastructure, enabling enterprises to securely run human and AI-driven development workflows in consistent, governed environments. Coder provides self-hosted, agent-ready workspaces that unify developer productivity and platform governance. With Coder, enterprises can confidently evolve from human-only development to AI-assisted and autonomous workflows, without sacrificing security, compliance, or performance. Learn more at coder.com http://coder.com.
INTERVIEW PROCESS
We believe that the interview process should be transparent, consistent, and enjoyable. We value your time and hope to complete the interview process in two to four weeks, if schedules allow. Through your interviews, you will meet a mix of individual contributors, managers, and senior leaders.
AI USE DURING THE INTERVIEW PROCESS
As an AI company, Coder embraces the use of AI tools, and we want to be transparent about our expectations as you navigate our interview process.
Not permitted: Using AI assistance during conversational interviews.
Permitted: Using AI tooling for take-home assessments. Please flag where and to what extent it was used in your take-home. Your submission will not be penalized for using AI as long as it is done honestly.
OUR USE OF AI IN HIRING
We use AI tools to help manage our recruitment process efficiently and fairly. Specifically:
- Ashby and Brainerr help us review inbound applications by surfacing candidates who best match the role requirements we've defined. This tool does not make hiring decisions; it helps our team prioritize which applications to review first.
- Granola takes notes during our interview calls so our team can focus on the conversation with you.
All hiring decisions are made by humans. Our team reviews applications, conducts interviews, and makes final selections. AI tools assist us but never replace human judgment, and these practices are conducted in compliance with applicable data protection, AI governance, and labor laws. Your data is not used to train AI models.
In accordance with New York City Local Law 144, an independent bias audit has been conducted on "Automated Employment Decision Tools"; results are available for Ashby https://www.ashbyhq.com/downloadables/ashby-bias-audit-08-2024.pdf.
If you're applying for a role at Coder and have questions about how we use AI in our process, or if you'd like to request information about the data we collect, please contact careers@coder.com.
CODER IS A PROUD EQUAL OPPORTUNITY EMPLOYER
We are committed to providing equal employment opportunities to qualified applicants and do not discriminate on the basis of race, color, ancestry, religion, sex, pregnancy, gender, gender identity, gender expression, sexual orientation, national origin, age, marital status, genetic information, disability, protected veteran status or any other characteristic protected by federal, state, or local laws.
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 Head of Strategic Startups at Anthropic, you will own the strategy, organization, and commercial outcomes for Anthropic's relationships with the world's most important AI-native startups. This is the segment where the next generation of category-defining companies is being built on Claude, and where Anthropic's commercial, product, and partnership decisions compound fastest.
You will lead a team of Account Executives who own Anthropic's most strategic AI-native accounts, and be accountable for a revenue line spanning expansion, retention, and net-new strategic wins. Beyond running the business, you will define what "strategic" means for Anthropic in the startup ecosystem: which companies we bet on, how we structure partnerships with them, how we engage investors and accelerators, and how the signal from this segment shapes our product roadmap and go-to-market model.
You will be a member of the GTM leadership team and a visible voice for Anthropic in the startup and venture community, helping ensure that the companies defining the future of AI choose to build it safely, and with us.
Responsibilities:
Set the multi-year strategy for Anthropic's Strategic Startups business, including segmentation, coverage model, partnership structures, and investment priorities, and secure executive alignment on it
Build, lead, and scale a high-performing team of Account Executives, including hiring, coaching, and developing sellers and establishing a strong operating cadence across the team
Own the segment's revenue plan and P&L-level outcomes, including forecasting, capacity planning, quota design, and resource allocation, with direct accountability to GTM and company leadership
Personally lead Anthropic's relationships with a portfolio of the highest-leverage AI-native startups, engaging founders, CEOs, and CTOs on multi-year commercial, technical, and partnership agreements
Design and negotiate novel commercial and partnership structures (credits programs, strategic pricing, co-development, joint go-to-market) that create durable, mutually beneficial relationships with breakout companies
Serve as the executive voice of the startup segment inside Anthropic, bringing structured customer and market insight to Product, Engineering, Pricing, and Finance and influencing roadmap and packaging decisions accordingly
Partner with Enterprise Sales, Solutions, Partnerships, and Customer Success leadership to define handoffs, shared accounts, and escalation paths as startups scale into enterprise customers
Establish the systems of record for the segment: account planning, customer health, executive business reviews, deal governance, and the metrics leadership uses to run the business
Represent Anthropic externally with founders, investors, and at industry events, articulating our approach to safe, frontier AI and why it matters for companies building on it
Lean in to support building Anthropic's presence across the startup ecosystem.
You may be a good fit if you:
Have 15+ years of experience in enterprise or technical software sales, with 7+ years leading sales teams
Have been a founder or have worked previously as a Business Development leader securing large contracts.
Have owned a significant revenue line with full accountability for plan, forecast, and results, and have a track record of consistently outperforming it
Have built or materially scaled a sales or account management organization, including designing coverage models, compensation plans, and operating rhythms
Bring deep, first-hand familiarity with the startup ecosystem, including relationships with founders, venture investors, and accelerators, and an instinct for identifying which early-stage companies will become the ones that matter
Have sold or led sales of technical, consumption-based, or platform products (APIs, infrastructure, developer tools, ML/AI), and are credible in conversations with technical founders and CTOs
Have structured and closed complex, non-standard commercial and partnership agreements at the executive level
Are a strong cross-functional leader who has influenced product, pricing, and go-to-market decisions well beyond your own organization
Are analytically rigorous and comfortable making decisions with imperfect data in a rapidly evolving market
Are motivated by Anthropic's mission and care about how frontier AI is deployed, not just how fast it grows
Strong candidates may also:
Have led a startups or emerging-companies segment at a cloud, infrastructure, or AI platform company through a period of hypergrowth
Have founder, operator, or venture experience, and understand the pressures and decision-making of a high-growth startup from the inside
Have built ecosystem programs (startup credits, accelerator partnerships, investor programs) that meaningfully drove adoption of a developer platform
Have hired and developed leaders who went on to run their own organizations
Have experience leading through a market where the product and competitive landscape shifts quarterly
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:
$550,000
—
$750,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Remote, Canada; Remote, Poland; Remote, United Kingdom; Remote, United States
GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster.
The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems.
Co-create the future with us
as we build technology that transforms how the world develops software.
*
Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab.
About the role
We are looking for a Principal Engineer to help build GitLab Duo Agent Platform, the agentic orchestration layer that runs AI agents and flows across the entire software lifecycle.
Principal Engineers at GitLab are recognized experts across multiple technology domains and represent the senior technical leadership within their organization. In this role you will set technical direction for a significant part of the Agent Platform, working across several teams to turn agentic capabilities into something engineering organizations can actually depend on: predictable, observable, governable, and fast enough to sit in the critical path of real development work.
The Agent Platform is not a single service. It spans agent execution and orchestration, flow definition and event-driven triggering, the AI Catalog through which customers discover and manage agents, model routing and evaluation, and the governance surface that decides which agents may act where and under whose identity. It runs on GitLab.com, GitLab Dedicated, and Self-Managed installations, including deployments that use self-hosted models to meet compliance requirements. You will work on the parts of that system where the hard architectural questions live, and you will do it hands-on.
This role reports into the VP of the AI Engineering organization and works closely with Engineering Managers, Staff Engineers, Product Management, Infrastructure and Security.
What you'll do
Define the technical direction for a significant area of Duo Agent Platform across several teams, and partner with Engineering Managers and Product to turn it into a roadmap with a six-month horizon.
Build the orchestration layer that makes agents and flows reliable: session lifecycle, tool invocation, context assembly, concurrency, retries, timeouts, and failure modes that degrade gracefully instead of stalling a developer's workflow.
Hands on work on driving topics throughout the whole organisation from POC level, architecture to full implementation.
Participate in Incident Management on-call rotation, to help meet availability goals for GitLab.com.
Strong product builder and ownership mentality. Understanding of product strategy, technical strategy, delivering customer value and iteration towards a successful product
Write clear, opinionated design documents, architecture narratives, and decision records that let other teams make aligned decisions. Ensure the architecture holds across multi-tenant GitLab.com, Dedicated, and Self-Managed deployments, including self-hosted model configurations, and respects data governance boundaries in each.
Use the platform on our own work, find where it falls short of what we claim, and feed that back through improvements into the product.
Mentor Staff and Senior Engineers, and raise the bar for experimentation rigor and cross-team collaboration.
Work across the whole platform on different projects, features and teams. This reaches across:
Design the extensibility surface so customers can build custom agents and flows, connect their own tools and internal systems, and bring external agents such as Claude Code and Codex into GitLab workflows without weakening the platform's guarantees.
Drive down the cost and latency of agentic requests, and work with Product on how model selection, routing, and credit consumption behave as usage grows.
Define the evaluation practice for the platform: offline benchmarks and online experiments that measure task completion, correctness, tool-call accuracy, latency, and cost per task, and that catch regressions before customers do.
Build the governance and safety surface with Security and Compliance: policy-driven controls over which agents and models may run where, permission and identity semantics that align to existing roles and group structure, human-in-the-loop checkpoints, traceability of every flow session, and audit that stands up to enterprise review.
Complete Interview Training and participate in hiring for the department as a technical interviewer or panel member.
Take part in on-call or operational support where your team’s ownership model requires it.
What you'll bring
8+ years of software engineering experience, including 3+ years at Staff, Principal level or equivalent senior technical leadership.
Hands-on production experience building on large language models: agent loops, tool calling, context management, retrieval, prompt and model evaluation. Experience shipping this to real users, not only prototyping it.
Strong background in distributed systems, including service decomposition, fault tolerance, observability, and operational resilience under multi-tenant load.
A track record of defining evaluation frameworks and using benchmark and experiment results to make architecture decisions, rather than shipping on intuition.
Experience designing human-in-the-loop controls, safety guardrails, and responsible AI practices for systems that act on a customer's behalf.
Ability to drive alignment across Engineering, Product, Infrastructure, and Security on problems that start out ambiguous.
Experience mentoring senior engineers and shaping technical direction across multiple teams without direct authority.
Comfort working in one or more of Ruby, Go, Python, or TypeScript, and willingness to work across the stack the platform spans.
Excellent written and asynchronous communication, and the ability to work effectively in a fully remote, globally distributed organization.
About the team
The AI engineering organisation is building the product and infrastructure that make GitLab an effective environment for running agents across the software development lifecycle. We’re distributed across the world and partner with teams throughout GitLab to help the GitLab Duo Agent Platform become the backbone of GitLab's AI features. You will report directly to the VP of Engineering for AI and especially work together with all the teams, the engineering management and other principal engineers in the AI department. This is an opportunity to lead a consequential group as AI changes how software is built.
The base salary range for this role’s listed level is currently for residents of the United States only. This range is intended to reflect the role's base salary rate in locations throughout the US. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location. The base salary range does not include any bonuses, equity, or benefits. See more information on our
benefits
and
equity
. Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary.
United States Salary Range
$250,000
—
$325,000 USD
How GitLab Supports Full-Time Employees
Benefits to support your health, finances, and well-being
Flexible Paid Time Off
Team Member Resource Groups
Equity Compensation & Employee Stock Purchase Plan
Growth and Development Fund
Parental Leave
Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from
underrepresented groups
are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application.
Country Hiring Guidelines:
GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process.
Privacy Policy:
Please review our
Recruitment Privacy Policy.
Your privacy is important to us.
GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also
GitLab’s EEO Policy
and
EEO is the Law
. If you have a disability or special need that requires
accommodation
, please let us know during the
recruiting process
.
Location: 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
As a Deployment Manager on the Beneficial Deployments team, you will guide customers from a signed contract into a live, governed, and adopted deployment so that customers achieve tangible impact rather than simply incremental improvement with Claude. You'll guide organizations from contract signature to production deployment across Claude for Enterprise, Claude Code, and our API products, fundamentally changing how they work and deliver on their missions.
You'll be the technical hands that switch Claude on. Before any organization can drive adoption, before any champion can ship their first workflow, someone has to connect Claude to the customer's identity provider, get the right people provisioned into the right workspaces, and walk their CISO through how it all comes together. That's your work. You turn "we've signed the contract" into "our employees can log in, with the right access, under the right policies, the way our security team expects."
This is a high-leverage role where you'll pioneer scalable activation methodologies that enable hundreds of nonprofit customers to unlock transformative use cases and realize measurable outcomes at unprecedented speed. You won't just follow playbooks. You'll design the frameworks and repeatable processes that can be deployed consistently across diverse customer environments, and you'll shape them into programs that reach customers we could never serve one at a time.
You'll operate at the intersection of technical deployment, enablement, and program design. Some days you'll be in the weeds with a customer's IT team debugging a SAML assertion; other days you'll be stepping back to ask how the last ten deployments should change the next hundred. Your systems-thinking approach will directly shape how we activate customers, and your strategic management will ensure every customer achieves meaningful outcomes within their first 90 days. By identifying patterns across activations, you'll build replicable approaches to organizational change while maintaining the agility to customize solutions for each customer's unique transformation journey.
Responsibilities:
Own the complete activation journey from contract signature to production deployment, orchestrating cross-functional resources and customer teams to ensure rapid time-to-value across Claude for Enterprise, Claude Code, and API products.
Deploy Claude inside customer environments. Configure and troubleshoot SSO (SAML), SCIM and JIT provisioning, MCP connectors, admin policy templates, and seat-assignment logic across Okta, Entra ID, Ping, and Google Workspace. Deliver informative transitions to Support for deeper issues that require investigation or engineering support.
Act as a trusted advisor to customer CISOs and CTOs on governance and enterprise setup. Bring a clear point of view on best practices, help security and IT leadership make the design decisions that determine whether a deployment holds up over time
Light up the capabilities that make Claude valuable. Enable and govern MCP connectors to the customer's systems, ensure Skills, Projects, and other capabilities are turned on and configured for their use cases, and work with their IT team on the approvals and OAuth consent this requires, so that day one feels ready
Design and scale activation frameworks by identifying patterns across deployments and building templated playbooks that balance standardization with customization for breakthrough outcomes.
Turn playbooks into programs. Package what works into repeatable, increasingly self-serve motions (deployment checklists, admin enablement sessions, onboarding cohorts, Claude-powered guidance) so that activation quality no longer depends on you being in the room.
Drive organizational transformation by developing change management strategies, rollout plans, and Train-the-Trainer programs that build internal AI champions and catalyze adoption across customer organizations.
Define and track success metrics across activation rate, time-to-value, customer satisfaction, and operational efficiency, using data to continuously optimize the motion.
Channel customer insights back to Product, Support, and Security teams, serving as voice of the customer so that repeat deployment blockers get solved once.
You may be a good fit if you have:
5+ years in customer-facing technical roles such as implementation management, technical account management, technical onboarding, solutions consulting, or customer success, with a track record of running multiple concurrent enterprise deployments with documented handoffs.
Experience serving nonprofits or mission-driven organizations. You've worked with (or inside) them and you understand how they differ from commercial enterprises.
Hands-on, sustained ownership of enterprise identity integration work. SAML, OIDC, SCIM v2, and JIT provisioning across at least two major identity providers (Okta, Entra ID, Ping, Google Workspace). You can debug a broken SAML assertion or a misconfigured SCIM attribute map without escalating, and you know when a Support handoff is the right call.
Experience advising CISOs, CTOs, or IT leadership on enterprise governance and setup for a SaaS or AI platform, with an informed point of view on org topology, access models, RBAC, and OAuth.
Working knowledge of security and compliance frameworks (SOC 2, ISO 27001, HIPAA, GDPR) sufficient to anticipate what a customer's security review will ask, and to know when to bring in our AI Security Specialist.
You've designed, shipped, and measured programs that serve many customers at once: onboarding cohorts, enablement series, admin academies, lifecycle or engagement motions. You naturally ask "how might we scale this?", turn 1:1 moments into 1:many programs, and instrument what you build so you know what's working.
Hands-on fluency with AI in your own workflow. You've prototyped, generated content, analyzed accounts, or replaced internal processes with LLMs, and you can talk concretely about what worked, what didn't, and what's next. You don't wait for AI tooling to arrive; you build it.
Organizational change and enablement experience including developing rollout strategies, navigating stakeholder resistance, building internal champions, and designing programs that drive adoption at scale.
Comfort building in ambiguity. This is a new role on the team, and what you build becomes the template. You'll thrive creating structure where none exists, adapting quickly as the business evolves, and learning continuously.
Data-driven and metrics-oriented. Experience setting and tracking success metrics from day one, using data to optimize approaches, and demonstrating impact to diverse stakeholders.
Logistics
Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience.
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.
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:
$200,000
—
$265,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Remote-Friendly (Travel Required) | Canada
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 a Transaction Manager for Canada at Anthropic, you'll drive the commercial sourcing and transaction execution process for our Canadian data center capacity deals. You'll lead RFP processes, negotiate term sheets, and serve as the central leader ensuring seamless stakeholder alignment from initial sourcing through lease execution.
Responsibilities:
Help identify data center capacity opportunities and options through management of network relationships across data center developer, broker, and power contacts.
Lead the RFP and commercial sourcing process for Canadian data center deals, managing developer outreach, proposal evaluation, and competitive selection across multiple markets
Negotiate term sheets and manage the LOI process, structuring commercial terms that meet Anthropic's technical and business requirements while maintaining strong developer partnerships
Create the bridge from LOI to executed transaction, ensuring all commercial, technical, and legal requirements are satisfied for deal closure
Serve as project manager for cross-functional stakeholder engagement, coordinating due diligence teams, internal and external legal counsel, network organization, platform
Act as the single point of contact (SPOC) for auxiliary organizations including networks, deployments, and government relations, providing regular updates on transaction progress and leasing process status
Develop and maintain transaction timelines, tracking critical path items and proactively identifying risks that could impact deal closure
Document and refine transaction processes and playbooks to enable scalable deal execution as Anthropic expands its infrastructure footprint
Ensure all stakeholder requirements are captured and addressed in commercial agreements, translating technical and operational needs into contractual terms
-Manage complex digital infrastructure development activities to a construction ready state, through a developer or directly
Marry the right projects, capital stacks and developers at the right stages
Support the development of the long term data center supply strategy
You may be a good fit if you:
Have 10+ years of experience in transaction management, commercial real estate, data center leasing, or infrastructure procurement
Possess a proven track record of managing complex, multi-stakeholder transactions from sourcing through execution
Have strong negotiation skills with experience structuring term sheets, LOIs, and commercial agreements
Excel at project management and can coordinate across legal, technical, finance, and operational teams simultaneously
Have experience with RFP processes and competitive sourcing for large-scale infrastructure or real estate transactions
Demonstrate exceptional communication skills, able to serve as an effective liaison between internal stakeholders and external partners
Are highly organized with strong attention to detail while maintaining focus on strategic deal objectives
Can operate effectively in fast-paced, ambiguous environments where processes are being built alongside execution
Have a collaborative mindset and can build trust with diverse stakeholder groups across the organization
Expert in the Canadian Leasing Compute space
It's a bonus if you:
Have experience with data center or hyperscale infrastructure transactions specifically
Understand technical requirements for AI/ML workloads including power density, cooling, and network connectivity
Have worked with legal teams on complex lease negotiations or infrastructure agreements
Possess familiarity with data center developer ecosystems and market dynamics
Have experience in high-growth technology companies managing infrastructure expansion
Understand utility coordination, power procurement, or energy considerations in data center transactions
Have a background in corporate development, strategic partnerships, or infrastructure investment
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
УдалённоSpain, Remote
УдалённоBerlin, Remote
Не хотите искать каждый день?
Настройте подбор один раз, и подходящие вакансии будут сами приходить в Telegram.
Настройте подбор, и подходящие вакансии будут приходить в Telegram.
San Francisco, CA | New York City, NY | Seattle, WA
San Francisco, CA | New York City, NY; We encourage you to apply even if you might need some flexibility for an interim period of time for relocation
УдалённоUnited States; Our customers are in North America and Europe, so we need working-hours overlap with those time zones
УдалённоseniorSan Francisco, California; Los Angeles, California; San Diego, California
seniorUnited States - Remote
London, UK
УдалённоГеография найма не уточнена
San Francisco, CA | New York City, NY
УдалённоUnited Kingdom
headSan Francisco, CA
УдалённоRemote, Canada; Remote, Poland; Remote, United Kingdom; Remote, United States; The base salary range for this role’s listed level is currently for residents of the United States only
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