Location: Torrance, United States
As an Embedded Software Engineer you will be at the forefront of creating, developing, and testing the software that drives and simulates our flight systems. Your role involves close collaboration with fellow Client's engineers across software and hardware domains to implement and debug software across the entire technology stack from applications and operating systems to networking, firmware, and simulation, ensuring complete mission success. We seek intelligent, collaborative, an driven engineers of all levels who are passionate about problem-solving and eager to contribute to an extraordinary mission. If you thrive in challenging environments and are excited by the prospect of making a tangible impact, we want to hear from you.
RESPONSIBILITIES
Autonomous Systems: Design and implement reliable autonomous software systems, along with the simulations required to validate their precision and dependability.
Comprehensive Software Development: Manage the entire software development process, from initial design, prototyping, and testing, to final integration and deployment for mission-critical applications.
System Testing: Evaluate test outcomes and troubleshoot issues necessitating detailed investigations, including hands-on integration and debugging of hardware/software systems. Develop tools to facilitate testing across various environments: virtualized hardware, real hardware-in-the-loop, and vehicle-in-the-loop testing.
COLLABORATION
Partner with multidisciplinary engineering teams to brainstorm, design, and develop next-generation hypersonic missile capabilities, including advanced guidance algorithms and integrated seeker image processing.
Project Leadership: Lead major projects that propel Client's mission forward, ensuring alignment with overall objectives and occasionally traveling to launch and customer sites for testing and operations.
Enhance Standards and Practices: Continuously improve software standards and best practices within the software team, fostering an environment of ongoing improvement and innovation.
BASIC QUALIFICATIONS
Educational Background: Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, Mathematics, or a related STEM field, or equivalent practical experience.
Experience: Open to candidates across all experience levels, from early-career engineers to senior technical contributors. Professional experience, internships, research, open-source contributions, or other hands-on technical work will be considered.
Technical Proficiency: Experience with systems programming in languages such as C++, Python, or Rust, and familiarity with Linux-based development environments. Experience may include work with low-level systems such as Linux kernel development, hardware interfaces, or driver development (e.g., UART, I2C, or similar peripherals).
PREFERRED SKILLS AND EXPERIENCE
Programming Expertise :
Proven proficiency in C++, Rust, or similar systems programming languages.
System Experience: Practical experience with real-time embedded systems or distributed computing environments in Linux-based systems, including developing high-quality Linux-based C++ software for common processors and microcontrollers (e.g., PowerPC, x86, ARM).
TECHNICAL SKILLS
Proficiency in Linux, including Bash shell scripting, network troubleshooting, and performance analysis (strace, ftrace, etc.), with strong skills in debugging, performance optimization, and unit testing.
System Knowledge: Comprehensive understanding of computer architecture and networking protocols (TCP, UDP, etc.).
Problem-Solving: Innovative problem-solving approach using first-principles thinking, including developing prototypes to validate key design concepts and quantify technical constraints.
Location: Torrance, United States
📍
Location:
Torrance, CA
📄
Employment Type:
Full-Time
🏢
Work Arrangement:
100% On-site, Monday–Friday
🚀
Start Date:
TBD
💰
Compensation:
TBD — based on skills and experience
Important Screening Requirements
Bachelor’s degree in
Computer Science, Computer Engineering, Electrical Engineering, Mathematics, or a related STEM field
, or equivalent practical experience.
Open to candidates across experience levels, including
early-career engineers and senior technical contributors
.
Experience with systems programming using
C++, Python, Rust, or similar languages
.
Familiarity with
Linux-based development
.
Experience with low-level systems, hardware interfaces, or embedded software.
Must be able to work
on-site in Torrance, CA
.
U.S. work authorization and export-control eligibility requirements may apply.
Security clearance or other U.S. Government authorization may be required depending on the position. Embedded Software Engineer- JD
About the Role
We are seeking
Embedded Software Engineers
to develop, test, and integrate software that drives and simulates advanced flight systems.
The role spans multiple layers of the technology stack, including
applications, operating systems, networking, firmware, and simulation
. Engineers will work closely with hardware and software teams to build and debug mission-critical systems. Embedded Software Engineer- JD
What We’re Looking For
We’re looking for engineers at all experience levels who enjoy working
close to the hardware
, solving difficult systems problems, and building reliable software for complex flight systems. Embedded Software Engineer- JD
Key Responsibilities
Design and implement reliable autonomous software systems.
Develop simulations used to validate software precision and system dependability.
Participate throughout the software development lifecycle, from
design and prototyping through testing, integration, and deployment
.
Evaluate test results and troubleshoot complex hardware/software issues.
Perform hands-on integration and debugging across software and hardware systems.
Develop tools supporting
virtualized hardware, hardware-in-the-loop, and vehicle-in-the-loop testing
.
Collaborate with multidisciplinary engineering teams on advanced flight-system capabilities.
Contribute to guidance algorithms and integrated seeker image-processing efforts.
Lead major software projects when appropriate.
Support testing and operations at launch or customer sites when required.
Improve software standards, development practices, and engineering processes. Embedded Software Engineer- JD
Required Qualifications
Bachelor’s degree in Computer Science, Computer Engineering, Electrical Engineering, Mathematics, or related STEM field, or equivalent practical experience.
Experience with systems programming in
C++, Python, Rust, or similar languages
.
Familiarity with Linux-based development.
Understanding of low-level systems programming and hardware interfaces.
Experience with interfaces such as
UART and I2C
is valuable.
Strong problem-solving and debugging skills.
Ability to work effectively in a multidisciplinary engineering environment. Embedded Software Engineer- JD
Preferred Qualifications
Strong C++ or Rust experience.
Real-time embedded or distributed computing experience.
Experience with Linux systems.
Experience working with
PowerPC, x86, ARM, or similar architectures
.
Bash, networking, and performance-analysis tools.
Experience with debugging, performance optimization, and unit testing.
Knowledge of
TCP/UDP networking
.
Experience building prototypes from first principles. Embedded Software Engineer- JD
Location: Remote, United Kingdom
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.
What this role is about
You'll manage a team of Assigned Support Engineers who provide relationship-based technical support to GitLab's biggest enterprise customers. ASEs work proactively with customers to find root causes and prevent repeat issues, which is different from working a ticket queue. They also turn their actions and activity into outcomes and deliverables that show customers the ROI they get from GitLab.
You'll build a team that works independently, owns issues from start to finish, and knows when to ask for help. When a customer relationship is in trouble, you'll work alongside the account teams to bring it back to health. You'll also help improve the ASE program in ways that matter to customers and to the company.
What you'll do
Hire, coach, and develop ASEs. Hold regular 1:1s, give direct feedback, deal with performance issues early, and build a team where people feel safe raising problems.
Pay attention to engagement and retention, and coach the team on GitLab's values and operating principles.
Train ASEs to run technical interviews so the hiring pipeline doesn't depend on you.
Set clear goals and expectations, track progress across onboarding, relationships, escalations, and KPIs, and connect the team's work to company priorities. Help ASEs prioritize across accounts when everything feels urgent.
Lead escalations from start to finish. Work with Engineering, Product, Sales, and Customer Success to get the right people moving, and keep the customer informed and confident in the plan.
Work alongside the account teams to bring at-risk customers back to health, including renewal and expansion risk driven by support concerns. Build the recovery plan, drive the technical side, and report on progress until the customer is stable.
Help ASEs translate their actions and activity into outcomes, deliverables, and ROI, and present that to customers and executives in clear decks that cover what happened, what you're doing about it, and what comes next.
Work with the ASE leadership team on initiatives that improve the program and customer outcomes, and see yours through to results.
Partner with Sales, Customer Success, CSMs, Product, and Engineering to push for what customers need, and contribute utilization and onboarding data to capacity and headcount planning with Finance and sales leadership.
Document how the team works and find ways to make it more efficient through tools, process changes, and automation. Use AI well in your own work and coach ASEs to do the same.
What you'll bring
5+ years in technical support, with at least 2 years managing customer-facing technical teams.
Experience with high-touch or assigned support for enterprise customers. Professional services delivery counts. Experience across Self-Managed, GitLab Dedicated, and GitLab.com is a plus.
A strong record of handling escalations with both internal teams and customers. You stay calm, keep people aligned, and know when to bring in leadership.
The ability to turn a complicated or nuanced situation into a clear written story and tie activity to outcomes with numbers.
A customer-centric approach balanced with good judgment about what the service, the team, and the company can deliver, and experience working with account teams to bring struggling customers back to health.
A record of getting work done across teams through influence and strong working relationships. You can work with Sales, CS, and account teams to set clear expectations for the ASE service and find the right path for each customer.
Willingness to be available outside standard hours, including weekends, for the occasional critical escalation or customer-impacting incident.
Comfort with ambiguity and change. You keep a team steady while priorities, processes, and the program evolve, and you explain the reasons for changes so people stay engaged.
A strong technical foundation to guide engineers in complex, production-critical environments, including Linux system administration and web application development concepts. Familiarity with Git, DevOps practices, or GitLab is helpful.
A history of developing engineers at different skill levels through real feedback, mentoring, and clear expectations.
Process skills that make a team more efficient without adding bureaucracy, and comfort leading a remote, globally distributed team using metrics and customer feedback.
About the team
The ASE team is spread across AMER, EMEA, and APAC and works mostly async, with regular pairing sessions, 1:1s, and Slack. We support GitLab's largest and most strategic customers, who run GitLab in production-critical environments. We dig into code and logs, work across departments, and focus on root cause, trends, preventing repeat issues, and providing the technical acumen that helps customers get the most value out of GitLab for their business.
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: Torrance, United States
We are hiring experienced Avionics Hardware Engineers to specialize in high-speed digital design, flight computer architecture, and advanced avionics hardware development across our avionics organization. This role is ideal for engineers with deep EE fundamentals and hands-on ownership experience designing complex embedded hardware for mission-critical systems.
Engineers in this role focus on flight computer architecture, high-speed digital board design, system bring-up, and hardware validation across real flight hardware. The ideal candidate has experience owning complex board designs from architecture through integration and thrives in fast-paced hardware development environments.
RESPONSIBILITIES
Design and develop advanced board-level electrical hardware including schematic capture, PCB layout oversight, component selection, and interface definition.
Own high-speed digital and embedded flight computer architectures including processors, memory systems, and board-level integration
Perform board bring-up, validation, debugging, and root-cause analysis in the lab
Test reference boards and early prototypes using standard lab equipment
Drive signal integrity, power integrity, and hardware reliability considerations throughout the design lifecycle
Work with avionics, embedded software, test, and manufacturing teams to iterate designs quickly
Support hardware/software integration and troubleshooting across avionics platforms
Document designs, test results, and engineering changes clearly
BASIC QUALIFICATIONS
Bachelor's degree in electrical engineering or related field
Strong experience with complex digital or mixed-signal hardware design
Experience with high-speed digital systems, embedded processors, memory interfaces, and board-level architecture
Experience with PCB design tools (Altium preferred)
Hands-on experience with oscilloscopes, logic analyzers, and power supplies
Strong understanding of core EE principles including digital systems, signal integrity, power distribution, and hardware debugging
Comfortable working in a fast-paced, highly collaborative environment
PREFERRED QUALIFICATIONS
Experience owning flight computer, avionics, or embedded compute hardware architectures
Experience taking complex PCBAs from concept through bring-up, validation, and integration
Exposure to embedded systems, firmware, or FPGA interaction
Familiarity with aerospace, automotive, robotics, defense, or other high-reliability hardware environments
Familiarity with interfaces such as Ethernet, SPI, I2C, UART, CAN, PCIe, or DDR memory systems
Basic scripting or programming experience (Python, C/C++)
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.
As a manager of Applied AI Engineers for Anthropic's Megas segment, you will lead a team of deeply technical engineers embedded with our largest and most strategic accounts. These companies are partner-customers: they are among our biggest revenue drivers and also some of our most important go-to-market distribution channels. Each one consumes Claude to transform its own business and distributes Claude through its platforms and marketplaces. Your team works hands-on with their product and engineering organizations as they build on Claude: co-designing complex technical solutions, advising on architecture, developing evaluation frameworks, and guiding them through the most advanced implementation patterns for LLMs.
You will hire, coach, and grow this team while staying close enough to the technology to set a high bar for engineering judgment. Your engineers work in account-aligned pods alongside Applied AI Architects, and you'll partner closely with pod leads, Mega Sales, Partnerships, Product, and Research. You'll guide your team from technical discovery through production deployment, turn wins at one Mega into reference architectures and patterns that compound across the others, and channel Mega-driven requirements back into Anthropic's product and research roadmap, all while maintaining our high standards for safety and reliability. This is a fast-moving space at the frontier of what's possible with LLMs, and you'll help define how we scale technical impact across our most important relationships.
Responsibilities
Build, coach, and grow a team of Applied AI Engineers serving Mega accounts: hire strong technical builders, develop them through structured feedback and clear competency expectations, and create scalable onboarding for a customer-facing technical role.
Staff engineers into account-aligned pods alongside Applied AI Architects, balancing deep account continuity with flexibility to move expertise where the segment needs it most.
Set performance goals aligned with each Mega's technical account plan and the segment's consumption objectives, and establish the metrics, reporting cadence, and dashboards that keep pod leads and cross-functional stakeholders informed on team health and impact.
Serve as a senior technical advisor to Mega product and engineering leaders as they deploy production Claude workloads: guiding architecture design, evaluation strategy, and advanced prompting, agentic, and implementation patterns from discovery through deployment.
Lead hands-on co-build initiatives with Mega engineering teams, from prototypes and pilots to production deployments, in support of each account's joint roadmap with Anthropic.
Help navigate the partner-customer duality: support both direct consumption and the distribution of Claude through Mega platforms and marketplaces, and exercise sound judgment about what we build together and share.
Act as a technical escalation point for your team's accounts, and partner with pod leads and Mega Sales to sequence technical work for maximum customer value.
Build shared assets across pods, including reference architectures, agentic patterns, and eval frameworks, so that what one pod learns benefits every Mega account.
Collaborate with Product and Research to surface Mega-driven requirements with the right weight and context, advocating for high-impact product changes without becoming a feature-request pass-through.
Champion scalable public and internal assets documenting the latest LLM prompting, evaluation, agentic, and architecture techniques; contribute thought leadership through talks, blog posts, and white papers.
Maintain strong, current knowledge of LLM capabilities, implementation patterns, and the AI product development stack, and translate it into practical guidance for your team and customers.
Travel to customer sites for workshops, executive technical sessions, implementation support, and relationship building, and represent Anthropic at conferences and speaking engagements.
You may be a good fit if you have
6+ years of experience in technical roles such as Forward Deployed Engineer, Software Engineer, Solutions/Sales Engineer, or Technical Product Manager.
4+ years of experience operating in a formal leadership capacity, ideally with some tenure as a manager of managers/multiple teams. Former technical founders are also encouraged to apply.
Demonstrated success hiring, coaching, and scaling customer-facing technical teams, ideally in a fast-moving or hypergrowth environment.
Experience supporting large, named strategic accounts at a platform, infrastructure, or model company, ideally where the account was both a customer and a partner.
Production experience with LLMs, including advanced prompt engineering, agent development and frameworks, evaluation frameworks, transcript analysis, MCP, and deployment at scale, with the technical depth to set engineering standards and review your team's work credibly.
Strong programming skills with proficiency in Python or TypeScript and experience building production applications.
A track record engaging senior technical stakeholders (CTOs, CPOs, and engineering leaders) and influencing technical architecture and partner product roadmaps.
Experience working in or running mixed pre-sales and hands-on engineering teams (for example, SA + FDE or SE + delivery).
The ability to navigate ambiguity and execute across domains with intellectual openness, finding simple solutions to complex problems.
A high-cooperation mindset for cross-organizational collaboration across Sales, Partnerships, Product, and Research, balancing competing priorities with integrity.
Exceptional communication skills to convey technical concepts to diverse stakeholders while maintaining a low ego and collaborative approach.
Passion for advancing safe, beneficial AI systems through creative technical applications.
Strong candidates may also have
Background at a hyperscaler, foundation model lab, or large ISV in a strategic-accounts or alliances technical role.
Experience with marketplace, embed/OEM, or co-sell motions.
Prior forward-deployed engineering leadership.
Experience leading technical teams through periods of rapid scale, balancing immediate execution with durable, long-term architectural and platform decisions.
Experience coaching engineers from purely technical roles into customer-facing, advisory work.
Executive briefing and public speaking presence.
Deadline to apply
None. Applications will be reviewed on a rolling basis.
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$320,000
—
$405,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: San Francisco, CA • New York, NY
Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us!
The AI Research team at Figma is working on the cutting edge of AI and Design. We work on optimizing agentic systems for design quality and end user experience. We build robust evaluators for Design and post-train models. We are a very collaborative, close-knit and impact-focused team of researchers and research engineers working on some of the most challenging technical problems at the intersection of AI and creativity.
We are seeking PhD interns with expertise in machine learning and artificial intelligence to develop innovative AI solutions for design and creative products. Through both fundamental and applied research, your work will contribute to new AI-driven features in Figma products.
This internship can take place in Winter 2027 or Summer 2027 in San Francisco or New York.
What you’ll do at Figma:
Drive fundamental and applied research in Generative AI with Figma product use cases in mind
Formulate and implement new modeling approaches both to improve the effectiveness of Figma’s current AI models as well as enable the launch of entirely new AI-powered product features
Explore the boundaries of what is possible with the current technology set and experiment with novel ideas
Depending on your project, you may have the opportunity to publish your research in leading AI/ML conferences
We'd love to hear from you if you have:
Are a 4th or 5th year senior Ph.D student in AI, Machine Learning, Computer Vision, Natural Language Processing, Human Computer Interaction or a related field
Proven expertise in AI through publications on recent advancements in AI, such as Large Language Models or Agentic systems
Track record in applying machine learning techniques to projects in academia or industry
Experience in Python and machine learning frameworks (such as PyTorch, TensorFlow)
Experience solving sophisticated problems and comparing alternative solutions, trade-offs, and diverse points of view to determine a path forward
While it’s not required, it’s an added plus if you also have:
Related industry experience via a past internship or full-time role
Experience communicating your solutions effectively to different audiences
Experience using AI-assisted development tools (e.g., GitHub Copilot, ChatGPT, Claude) to write, debug, and optimize code
At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you’re excited about this role but your past experience doesn’t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.
Pay Transparency Disclosure
This internship role is based in either Figma’s San Francisco or New York hub offices, and has the hourly base pay rate stated below. Figma also offers interns a housing stipend and travel reimbursement. Figma’s compensation and benefits are subject to change and may be modified in the future.
Internship
$74
—
$74 USD
At Figma we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Figma is an
equal opportunity workplace
- we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status
,
or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.
We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to
accommodations-ext@figma.com
. These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities.
Examples of accommodations include but are not limited to:
Holding interviews in an accessible location
Enabling closed captioning on video conferencing
Ensuring all written communication be compatible with screen readers
Changing the mode or format of interviews
To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates keep their cameras on during video interviews. Additionally, if hired you will be required to attend in person onboarding.
By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with
Figma's Candidate Privacy Notice
.
Application limits:
To help candidates focus on the opportunities most relevant to their skills and experience, Figma limits the number and frequency of applications. These limits apply to all roles:
Candidates may submit up to 5 applications during any rolling 30-day period.
Candidates may not reapply to the same role while an application is active or within 90 days of receiving a rejection.
Once the applicable days has passed, candidates are welcome to apply again.
Location: San Francisco, CA | Seattle, WA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
Anthropic is seeking a member to join Financial Reporting team within Accounting. In this role, you will own some of the most important pieces of our external reporting: the consolidated statement of cash flows, subsidiary and other compliance-related reporting, and the peer benchmarking that keeps our disclosures clear and comparable.
This is a hands-on individual contributor role for someone who wants to shape how a financial reporting function works, not just run it. Our team builds with Claude every day, and you will help design the workflows and automation that make our reporting faster, more accurate, and more scalable. You will partner closely with Technical Accounting, Controllership, Tax, Legal, FP&A, Corporate Development, and our external auditors.
If you enjoy owning complex reporting end to end, have strong judgment on disclosure, and are excited to reinvent how financial reporting gets done with AI, we would love to hear from you.
Key responsibilities
Own the consolidated statement of cash flows end to end, including preparation, supporting schedules, classification analysis, non-cash disclosures, and review with our external auditors
Lead subsidiary and other compliance-related reporting, such as entity-level and special-purpose financial statements, lender and covenant reporting, and other regulatory or contractual reporting requirements
Lead the adoption of new accounting standards: impact assessment, data and system changes, disclosure drafting, controls, and review with our external auditors
Lead stock-based compensation reporting, including the expense and award-activity roll-forwards
Contribute to the preparation and review of periodic SEC filings (Forms 10-Q and 10-K) and related disclosures
Contribute to peer disclosure benchmarking, including frequent and proactive review of peer disclosures and assessment of Anthropic's disclosures in comparison to peers
Partner with valuation specialists, Technical Accounting, Tax, and Corporate Development on purchase accounting and post-close reporting for acquired entities
Identify opportunities to leverage Claude and automation tools to improve reporting processes, with a hands-on willingness to test and adopt new technologies as they emerge
Build and maintain Claude-powered reporting workflows (e.g., roll-forwards, tie-outs, disclosure drafting, benchmarking) and document them so the broader team can use and extend them
Design and maintain the process documentation and controls that support your areas, and serve as a primary point of contact for auditors on them
Minimum qualifications
Hands-on ownership of a statement of cash flows, including preparation, classification under ASC 230, and support for audit review
Experience with subsidiary, statutory, or other compliance-related reporting (e.g., entity-level financial statements, lender or covenant reporting, regulatory filings)
Experience using Claude or similar AI tools to build new financial reporting workflows or automation
Strong working knowledge of US GAAP and SEC reporting requirements, including Regulation S-X and S-K
Clear, concise written and verbal communication, including the ability to explain complex accounting topics to non-accounting partners
Sound judgment and comfort owning ambiguous work, setting priorities, and meeting filing deadlines with minimal oversight
Passion for Anthropic's mission to build safe, transformative AI systems
Preferred qualifications
12+ years of experience in financial reporting, SEC reporting, or public accounting, including time at a public company or one preparing to go public
Have built or run a peer disclosure benchmarking program, including use of EDGAR full-text search or XBRL data
Have built reusable Claude or similar AI skills, agents, or processes
Experience with international statutory reporting or consolidation of special-purpose entities
CPA or equivalent certification
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$230,000
—
$300,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
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 | 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
As a Manager, Compute Accounting at Anthropic, you will execute day-to-day accounting for our compute and cloud infrastructure spend, ensuring accurate financial reporting and robust controls as we scale. You'll be responsible for preparing compute cost accounting, including accruals, prepaids, accounts payable reconciliation, expense classification, and commitment tracking. This role requires hands-on month-end close experience, strong organizational skills, and the ability to build scalable processes and controls in a high-growth environment, with a strong appetite for process improvement and automation.
You'll work directly with Engineering, Procurement, and Finance & Strategy to resolve issues and ensure that costs are captured accurately and in compliance with our agreements. As Anthropic's compute footprint expands rapidly across multiple cloud service providers, you'll help operate the financial controls and processes that enable us to manage compute spend measured in the tens of billions of dollars with precision and confidence. You'll also support internal and external audit requests.
Key responsibilities
Own the accounting lifecycle for compute and cloud infrastructure expenses, ensuring accurate and timely recording of all costs through monthly close, reconciliations, accruals, prepaids, journal entries, and flux analysis
Review and interpret cloud service provider and infrastructure contracts to ensure proper accounting treatment, commitment tracking, and compliance with contractual terms
Track and reconcile commitment-based agreements, ensuring proper recognition and disclosure of multi-year purchase obligations
Perform accounts payable and vendor statement reconciliations, working with cloud service providers to resolve discrepancies and ensure billing accuracy
Build scalable processes and controls that can grow with the organization, and develop reporting and monitoring systems to provide visibility into compute spending patterns and trends
Support internal and external audit requests on compute cost accounting and commitment disclosure matters
Work with Engineering and cloud service providers to investigate issues and see them through to resolution
Build monthly and quarterly financial reporting packages for leadership reviews
Drive process improvement and automation initiatives—redesigning close workflows, building automated data pipelines and reporting, and leveraging AI tooling—and contribute to cross-functional projects from scoping through delivery
Minimum qualifications
7+ years of progressive operational accounting experience
CPA (or equivalent) with a strong understanding of GAAP
Strong, hands-on month-end close experience, with a proven ability to prepare accruals, reconciliations, and journal entries accurately and on time
Significant experience accounting for cloud service or compute infrastructure expenses, including review of associated contracts
Experience with cloud service provider cost structures and the unique challenges of accounting for consumption-based services
Strong written and verbal communication skills, with the ability to explain issues to vendors, engineers, and other non-finance stakeholders in clear, simple terms
Strong analytical abilities and comfort working with a high volume of transactions
Proven experience building accounting processes, controls, and policy in high-growth environments
Strong organizational skills and attention to detail, with a track record of seeing issues through to resolution
Proficiency with modern ERP systems (Workday preferred)
Preferred qualifications
Have experience mentoring junior accounting professionals
A track record of leading process transformation, automation, or finance systems projects from scoping through delivery
Strong analytical and problem-solving skills, with the ability to dive deep into large datasets to identify issues and opportunities
Comfort with cross-functional partnership in fast-paced environments where priorities can shift quickly
SQL and BigQuery proficiency, enabling direct data analysis and validation against source systems
Python skills for building automation and analytical tools
Experience at cloud service providers, data center operators, or technology companies with consumption-based or usage-based business models
Background combining Big 4 accounting experience with industry roles at technology companies
Exposure to infrastructure lease or asset structures, including colocation, GPU clusters, networking equipment, or data center buildouts
Track record of implementing automated reconciliation and reporting solutions
Familiarity with commitment-based purchasing agreements and their accounting implications
Proficiency with AI-assisted tools (including Claude) for enhancing financial analysis, memo drafting, and close automation
Experience supporting rapid growth and scaling initiatives
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:
$160,000
—
$190,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: San Francisco, CA | Seattle, WA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
Anthropic is seeking a Senior Manager, M&A Finance Integration to run the finance function's role in each transaction, from LOI through Day 1 readiness and post-close execution, and to own the program management of Anthropic's growing legal entity footprint.
This is a build-and-run opportunity. Reporting to the Director, M&A Finance Integration, you will be the day-to-day operator of the M&A Finance Integration program: you will scope and drive the finance integration plan for each deal, coordinate finance workstreams alongside Corporate Development, Legal, and People, and be the connective tissue between deal teams and the functions that execute. You will also own the end-to-end legal entity lifecycle (setup, migration, and wind-down) for acquired entities and newly formed subsidiaries, and turn what we learn from every deal and legal entity set up into a maintained playbook and template library.
The ideal candidate has operated in a similar function at a high-growth technology company, brings enough accounting fluency to know when a closing spreadsheet or entity plan looks wrong, and thrives on building rigorous, repeatable processes while deals are live.
Key responsibilities
Deal Integration Planning & Execution
Scope and own the finance integration plan for each transaction across every phase, from LOI and due diligence through signing, sign-to-close, and Day 90, spanning finance functions
Tailor the plan to the integration model (full integration vs. standalone subsidiary) and define each function's baseline activities and standalone-specific deltas
Ensure every function is engaged at the right phase, with clear owners, dependencies, and escalation paths
Run the integration operating rhythm: workstream check-ins, issue logs, risk registers, RACI matrices, decision logs, and status reporting to finance leadership
Negotiate deliverables and trade-offs directly with functional leads; escalate to the Director with a recommendation when priorities conflict
Day 1 Readiness & Post-Close Execution
Drive Finance Day 1 readiness: bank account control and signers, payroll cutover, AP/AR continuity, ERP entity, cost-center and project-code setup, chart-of-accounts mapping, and expense policy communication
Run the Day 1 checklist and 30/60/90-day follow-through, ensuring acquired entities are onboarded without disruption to the close cycle
Coordinate the closing spreadsheet, net working capital mechanics, and post-close true-up with Corporate Development, Legal and Technical Accounting
Serve as a primary finance point of contact for the target's finance team and Corporate Development's integration lead during transition
Scope, track, and manage external advisor engagements and unblock issues as they arise
Stakeholder Management & Communication
Act as a credible counterpart to Corporate Development, finance functional leads, and target finance leadership on integration substance
Communicate integration and entity status to leadership through clear dashboards and written briefings
Mentor team members and contractors as the function grows
Handle confidential deal information with discipline
Legal Entity Lifecycle Program Management
Build and run the end-to-end entity setup process: decision documentation, incorporation, tax registrations, banking, ERP entity creation, functional-currency assessment, payroll or employer-of-record bridge, and statutory / compliance calendar onboarding, with a named owner for each step across US and international entities
Own the entity wind-down process, including customer and vendor off-boarding, final payroll and employee transfers, account closure, intercompany settlement, and final statutory filings, in partnership with Legal, Tax, and the involved finance functions
Design and maintain a single entity tracker with per-entity, per-workstream implications and status, aligned with adjacent entity programs (e.g., infrastructure and special-purpose entities) so they share one backbone
Playbook, Templates & Infrastructure
Build and own the Legal Entity Playbook: a repeatable, end-to-end framework covering entity formation, migration, and wind-down for acquired entities and newly formed subsidiaries in the US and internationally
Own and maintain sections of the modular M&A Finance Integration Playbook: per-function deliverables by phase, standard operating procedures, and the template library
Lead post-deal retrospectives and drive the resulting changes into the playbook and templates
Identify and implement tooling and automation, including AI-assisted solutions, for recurring program work such as status synthesis, tracker updates, escalations and draft communications
Minimum qualifications
Demonstrated end-to-end ownership of at least two finance integration projects or entity set up projects, from planning through post-close execution, including project plan ownership and executive reporting
Working accounting fluency across the areas your stakeholders own: the close calendar, chart of accounts, intercompany, statutory reporting, purchase accounting fundamentals, and the finance implications of common deal structures (asset vs. stock, acquihire vs. strategic, full integration vs. standalone)
Strong program-management capability: comfortable scoping ambiguous work, owning multiple parallel workstreams, and managing to milestones without extensive oversight
Experience with ERP systems (NetSuite, Oracle, SAP, or equivalent) in an acquisition and migration context
Cross-functional credibility with Legal, Tax, People, Corporate Development, and Finance sub-functions, and the ability to drive outcomes across competing timelines and risk tolerances
Comfort operating under deal-environment time pressure and confidentiality, with sound judgment when processes are being defined in real time
Excellent written and verbal communication, with the ability to distill complex operational issues into clear, decision-ready briefings
Preferred qualifications
10+ years in finance, accounting, or finance operations, with at least 3 years running cross-functional programs at a high-growth technology company, with a focus in M&A integration or legal entity programs
Have built or significantly contributed to a finance integration playbook, template library, or integration management office infrastructure from scratch
Bring international entity experience: new-jurisdiction setup, statutory audit and local GAAP obligations, employer-of-record bridges, transfer pricing and intercompany agreements
Have worked with standalone-subsidiary integration models, consolidation bridges, and equity-method investments
Be an active user of AI tools in their own workflow and excited to push program management toward automation
Hold a CPA, ACA, ACCA, or CA qualification
Be genuinely excited about AI safety and aligned with Anthropic's mission to build reliable, interpretable, and steerable AI systems
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:
$190,000
—
$230,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Austin, in-person
About inKind
inKind is transforming restaurant financing and customer engagement through an innovative fintech platform that provides restaurants with growth capital while helping consumers discover and enjoy dining experiences nationwide.
As inKind continues to scale, our Finance organization is increasingly powered by technology, automation, and interconnected data. We’re looking for a
Finance Systems & Automation Analyst
who can help operate, troubleshoot, and improve the systems and workflows behind our accounting and financial processes.
Position Summary
This is not a traditional accounting role, and we are not looking for a software engineer.
We are looking for a
systems-oriented problem solver
who is naturally good at understanding how things work, breaking complicated processes into logical steps, working with financial data, and figuring out what is happening when something doesn’t work as expected.
You will sit at the intersection of
Finance, Accounting, Data, and Technology
, helping operate and improve the automated workflows that support our financial infrastructure.
A significant portion of the role will involve working in
NetSuite
, alongside tools such as Google Sheets, SQL, internal data sources, integrations, and third-party platforms.
You do not need to be an expert programmer. You do need to be comfortable looking at an unfamiliar process, dataset, formula, query, or piece of logic and methodically figuring out how it works.
The ideal person has strong numerical intuition, exceptional attention to detail, and the curiosity to ask not only
“Is this number correct?”
but also
“Where did this number come from, how did it get here, and how could we make this process better?”
What You Will Do
Finance & Accounting Operations
Operate and maintain recurring accounting and finance workflows, including cash transaction categorization, journal entry preparation and uploads, reconciliations, and weekly/monthly reporting processes.
Work extensively within NetSuite to support accounting operations, investigate issues, manage imports, and maintain accurate financial information.
Manage the inputs and outputs of automated finance processes, including data validation, CSV preparation and uploads, exception handling, and transaction-level corrections.
Adapt established processes to accommodate one-off transactions, new business scenarios, and evolving Finance requirements.
Support weekly and monthly accounting close activities and maintain the automated workflows supporting those processes.
Systems, Data & Automation
Monitor automated financial data flows from source systems through accounting, forecasting, and reporting outputs.
Ensure the continued availability, completeness, and accuracy of transaction history, balances, forecasts, and other financial information used across the organization.
Build, maintain, and troubleshoot automated financial workflows across accounting systems, internal data sources, and third-party platforms.
Investigate issues across Google Sheets logic, SQL queries, CSV imports, integrations, NetSuite, and other financial systems.
Trace data through multiple systems to identify where errors or inconsistencies originate.
Independently resolve routine systems and data issues while identifying the source, scope, and appropriate escalation path for more complex problems.
Process Improvement & Problem Solving
Break complex financial processes into clear, logical steps and identify opportunities to simplify or automate them.
Understand existing formulas, queries, scripts, integrations, and workflows well enough to troubleshoot and improve them.
Identify repetitive manual processes that could be standardized, automated, or eliminated.
Support the implementation of new products, systems, and business processes as they interact with Accounting and Finance.
Create ad-hoc reporting, tools, and analyses to answer new business questions.
Partner across Finance, Accounting, Product, Engineering, Data, and other teams to translate business requirements into practical solutions.
Document processes and workflows so that systems remain understandable, scalable, and maintainable as the company grows.
What We Are Looking For
Strong
systems thinking
— you naturally break problems into inputs, rules, dependencies, outputs, and exceptions.
Strong
numerical intuition
and an ability to recognize when financial data does not make sense.
Comfort working with large datasets and identifying patterns, anomalies, and inconsistencies.
Ability to approach ambiguous problems with limited context and determine what questions need to be answered first.
Strong attention to detail without losing sight of the broader process or business objective.
Comfort learning unfamiliar systems, tools, formulas, and technical concepts independently.
Ability to read and reason through existing formulas, queries, or code even if you would not consider yourself a developer.
Ability to troubleshoot systematically rather than relying on trial and error.
Strong communication skills and the ability to explain technical or financial processes in straightforward terms.
Tools & Technical Experience
Experience with some combination of the following is valuable:
NetSuite
or another ERP/accounting platform
Advanced
Google Sheets or Excel
SQL
and relational data
Large structured datasets
Financial reporting and reconciliation
APIs, integrations, or third-party data connectors
Automated workflows or low-code automation tools
Financial or accounting data structures
Deep expertise in every tool is
not required
. We care more about your ability to understand unfamiliar systems, reason through problems, and learn quickly than expertise in a particular programming language.
Salary:
$80,000 - $90,000 DOE + Benefits
Who we are:
inKind connects passionate diners with exceptional restaurants across the country. inKind partners with thousands of restaurants and has millions of users who want to discover great places, dine confidently, and earn meaningful rewards.
Through the inKind app, guests earn 20% back every time they dine, turning everyday meals into something more rewarding. From celebrated restaurant groups like José Andres and Michael Mina to beloved neighborhood favorites, inKind helps diners explore the best restaurants in town while supporting the restaurants and chefs who shape how their cities eat.
Rooted in hospitality and built on a win-win philosophy, inKind exists to help great restaurants thrive while inspiring guests to dine out more often. Every meal creates value on both sides of the table, empowering diners to savor more while strengthening the restaurant community.
inKind is an Equal Opportunity Employer. We believe that diversity is vital to inKind's ability to provide our clients with the best recommendations and are committed to fostering a varied and inclusive work environment. Your race, color, ancestry, religion, gender, gender identity, national origin, sexual orientation, age, marital status, disability status, veteran status, or any other protected category have no bearing on our hiring decisions.
By submitting this application, you acknowledge that inKind Cards, Inc. may share the information you provide with trusted third-party service providers, including fraud detection and application processing partners, to evaluate your application and ensure the integrity of our hiring process. Your information will be handled in accordance with our
Privacy Policy
. For California residents and others with applicable rights, please review our privacy notice for information about your rights regarding your personal data.
Location: Munich, Germany
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
Anthropic's consulting and systems integration partners now sell and deliver Claude work at growing volume, and selling alongside partners is working. What matters next is delivery: whether the partner completes the work, whether the customer's Claude usage grows and holds, and whether the outcome is good enough that the customer asks for that partner again.
The Partner Success Lead owns that outcome. You will hold a book of in-flight customer engagements across a set of managed partners in EMEA. From the day our Partner Delivery program matches a customer engagement to a partner in your book, you own it to a completed outcome: the work finishes on scope, the customer's Claude usage grows, and a stalled engagement gets diagnosed and unblocked before the customer disengages. You wake up every day on one question: what is each partner in my book doing, and is the work getting done.
Key responsibilities
Own every customer engagement in your book from partner match to completed outcome. Know the state of each one every week: scope, timeline, blockers, and the customer's Claude usage trend.
Run the weekly delivery review across your book, and bring stalled or at-risk engagements to the weekly at-risk account review with a diagnosis, an owner, and a specific ask rather than a status list.
Unblocking. Partner capacity, scope creep, customer readiness, product questions, deal-registration conflicts, and customer dissatisfaction with partner work: get each issue to the right internal team and stay on it through resolution.
Own delivery quality and consumption across your book. Track engagements completed on time, time from match to completion, delivered consumption and weekly active use on the customer accounts your partners serve, and the accounts trending toward at-risk.
Build senior relationships with each managed partner's practice and delivery leadership. Together with the Partner Account Manager and other Anthropic counterparts, establish the executive-level trust that lets you ask a partner to restaff, escalate, or invest — and be taken seriously — when an engagement needs it.
Build each partner's Claude practice as the compounding work: certified bench depth, one repeatable offering in a chosen industry lane, and a published customer story from each completed engagement, so the next engagement needs less from you.
Turn what works into methodology. Convert the moves you prove in your book into named, reusable best practices — engagement review packs, unblocking plays, practice-building guides — written clearly enough to be shared at scale across partners, the Partner Success team, and the contract delivery team running the same loop.
Run the quarterly practice review with each managed partner's alliance and delivery leads: joint goals on completed customer engagements, customer adoption, certified practitioners, references, and industry positioning.
Present and persuade across audiences. Deliver partner executive briefings, practitioner enablement sessions, and internal reviews with equal command — this role is regularly the voice of Partner Success in front of a partner's leadership, a delivery team, a customer, or Anthropic's own leadership.
Steward funding requests from partners in your book. Recommend for or against co-investment and program funding requests against a stated outcome, and reconcile against milestones. The bar is outcomes, not consultant hours.
Work the handoffs cleanly: from Partner Sales when a partner deal closes, and from the Partner Delivery program when an engagement is matched to a partner in your book. Coordinate with the Partner Account Manager on any strategic partner that has one, with Customer Success Managers on customer-side account health, and with Anthropic's direct sales field on joint accounts.
Instrument your book and know its numbers: engagements in flight and completed, stall rate and days to unblock, delivered consumption per partner, certified practitioner counts, and partner health trajectory.
Run your book Claude-first. Telemetry drafts the diagnosis; you validate it and act. Claude drafts your review packs, status notes, and escalation briefs; you own the judgment, the exceptions, and the unblocking. Feed what you see in the field back into the packages, playbooks, tier rules, and health rubric the team runs on.
Minimum qualifications
Experience owning a high-volume book of concurrent customer engagements, projects, or accounts (roughly 10 to 30 at a time) to completed outcomes, in a partner success, customer success, delivery management, or technical account management role.
Ability and appetite to build structure, clarity, and programmatic motions out of in-flight work, while delivering engagement by engagement. You have written something down — a review format, a checklist, a play — that others ran without you, and you want to do more of that; growing that into the operating playbook a wider team runs is the senior end of this role, not the entry bar. This role scales by what you write down, not by added hours.
Track record of a number tied to completed work and customer behavior (on-time delivery, adoption, retention, consumption, expansion) rather than contract signature, and an operating rhythm you built to hit it.
Judgment on delivery quality: you can review a partner's engagement plan or scope and tell whether it will finish on time and produce usage, and you ask the follow-up question that surfaces the real risk.
Escalation and unblocking judgment across a matrix (partner, customer, direct sales, customer success, product): you know which stall belongs to whom, you get help fast, and you stay engaged to resolution.
A convincing speaker and presenter to all kinds of audiences: partner executives, delivery practitioners, customers, and internal leadership. You can carry a quarterly practice review, an enablement session, and an executive escalation in the same week and land each one.
Deep understanding of how customer success works in a usage-based business; you have held a number tied to customer behavior and can read a consumption trend and act on it.
Enough technical fluency to be credible in a delivery review. You do not need to write code, but you can follow a partner architect's walkthrough of a real Claude engagement and ask the substantive second question.
Active daily use of Claude or another large language model as part of how you work: preparing reviews, drafting account plans, and analyzing your book. We will ask you to walk us through a recent deliverable.
Preferred qualifications
5 to 8 years working with consulting and systems integration partners, or in delivery-facing customer success at a software company, cloud platform, or partner-led business.
Direct experience with systems integrators (global firms such as Accenture, Deloitte, Capgemini, Infosys, TCS, or Wipro, or regional and boutique firms) and an understanding of how their delivery practices are staffed and run.
Experience running at-risk or red account reviews and turning stalled work around.
Experience anchoring a surge team: setting the playbook and the review pack that a group of contract or offshore delivery coordinators ran, and holding the quality bar across them.
Depth in a specific industry vertical (financial services, healthcare, public sector, retail, or manufacturing) where you have carried a book of partners or customers.
Experience stewarding co-investment funding or market development funding against specific outcomes, with formed opinions about what works and what does not.
Experience running quarterly business reviews with consulting firm practice leads, and a sense of what makes them productive rather than ceremonial.
Experience on a new team where the operating model was being written while you ran the book, and you shipped both.
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:
€160.000
—
€220.000 EUR
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: United States
As a Flight Software Engineer, you will play a key role in designing, developing, and testing flight software that powers these advanced systems. You'll work closely with multidisciplinary teams to deliver high-performance, real-time embedded software that operates reliably under extreme conditions. This is a hands-on role for an engineer who thrives on solving hard problems, building robust systems from the ground up, and moving fast without compromising quality.
Responsibilities:
Design, develop, and test real-time embedded flight software for missile systems
Collaborate with GNC engineers, systems engineers, and hardware teams to ensure seamless integration
Implement and maintain software for high-reliability, safety-critical environments
Support simulation, hardware-in-the-loop (HIL), and flight testing to validate performance
Participate in root cause analysis and debugging across software and system interfaces
Follow rigorous software lifecycle practices, including configuration management and verification
Contribute to defining and improving development processes, tools, and standards
Stay informed on emerging technologies and best practices relevant to flight software and real-time systems
Basic Qualifications:
Bachelors or Master's degree in Computer Science, Electrical Engineering, Aerospace Engineering, or related field
Experience: Open to candidates across all experience levels, from early-career engineers to senior technical contributors.
Professional experience, internships, research, open-source contributions, or other hands-on technical work will be considered.
Proficiency in C/C++ and experience with real-time operating systems (RTOS)
Familiarity with hardware/software integration and real-time system constraints
Experience working with GNC systems or similar control-intensive applications
Strong understanding of testing practices including simulation and HIL environments
Excellent problem-solving skills and attention to detail
Ability to work effectively in a fast-paced, multidisciplinary team environment
Active or eligible for a Top-Secret security clearance
Preferred Skills and Experience:
Experience developing flight software for missile, launch vehicle, or spacecraft systems
Exposure to FPGA-based systems and embedded software optimization techniques
Knowledge of secure software development and cybersecurity best practices
Familiarity with agile or iterative development methodologies
Hands-on experience with software verification, validation, and integration in defense environments
Location: United States
As an Embedded Software Engineer you will be at the forefront of creating, developing, and testing the software that drives and simulates our flight systems. Your role involves close collaboration with fellow client engineers across software and hardware domains to implement and debug software across the entire technology stack from applications and operating systems to networking, firmware, and simulation, ensuring complete mission success. We seek intelligent, collaborative, and driven engineers of all levels who are passionate about problem-solving and eager to contribute to an extraordinary mission. If you thrive in challenging environments and are excited by the prospect of making a tangible impact, we want to hear from you.
Responsibilities:
Autonomous Systems: Design and implement reliable autonomous software systems, along with the simulations required to validate their precision and dependability.
Comprehensive Software Development: Manage the entire software development process, from initial design, prototyping and testing, to final integration and deployment for mission-critical applications.
System Testing: Evaluate test outcomes and troubleshoot issues necessitating detailed investigations, including hands-on integration and debugging of hardware/software systems. Develop tools to facilitate testing across various environments: virtualized hardware, real hardware-in-the-loop, and vehicle-in-the-loop testing.
Collaboration:
Partner with multidisciplinary engineering teams to brainstorm, design, and develop next-generation hypersonic missile capabilities, including advanced guidance algorithms and integrated seeker image processing.
Project Leadership: Lead major projects that propel Client's mission forward, ensuring alignment with overall objectives and occasionally traveling to launch and customer sites for testing and operations.
Enhance Standards and Practices: Continuously improve software standards and best practices within the software team, fostering an environment of ongoing improvement and innovation.
Basic Qualifications:
Educational Background: Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering,
Mathematics, or a related STEM field, or equivalent practical experience.
Experience: Open to candidates across all experience levels, from early-career engineers to senior technical contributors.
Professional experience, internships, research, open-source contributions, or other hands-on technical work will be
considered.
Technical Proficiency: Experience with systems programming in languages such as C++, Python, or Rust, and familiarity with
Linux-based development environments. Experience may include work with low-level systems such as Linux kernel development, hardware interfaces, or driver development (e.g., UART, I2C, or similar peripherals).
Preferred Skills and Experience:
Programming Expertise:
Proven proficiency in C++, Rust, or similar systems programming languages.
System Experience: Practical experience with real-time embedded systems or distributed computing environments in Linux-based systems, including developing high-quality Linux-based C++ software for common processors an microcontrollers (e.g., PowerPC, x86, ARM).
Technical Skills:
Proficiency in Linux, including Bash shell scripting, network troubleshooting, and performance analysis (strace, ftrace, etc.), with strong skills in debugging, performance optimization, and unit testing.
System Knowledge: Comprehensive understanding of computer architecture and networking protocols (TCP, UDP, etc.).
Problem-Solving: Innovative problem-solving approach using first-principles thinking, including developing prototypes to validate key design concepts and quantify technical constraints
Location: United States
We are hiring experienced Avionics Hardware Engineers to specialize in high-speed digital design, flight computer architecture, and advanced avionics hardware development across our avionics organization. This role is ideal for engineers with deep EE fundamentals and hands-on ownership experience designing complex embedded hardware for mission-critical systems. Engineers in this role focus on flight computer architecture, high-speed digital board design, system bring-up, and hardware validation across real flight hardware. The ideal candidate has experience owning complex board designs from architecture through integration and thrives in fast-paced hardware development environments.
Responsibilities:
Design and develop advanced board-level electrical hardware including schematic capture, PCB layout oversight, component selection, and interface definition
Own high-speed digital and embedded flight computer architectures including processors, memory systems, and board-level integration
Perform board bring-up, validation, debugging, and root-cause analysis in the lab
Test reference boards and early prototypes using standard lab equipment
Drive signal integrity, power integrity, and hardware reliability considerations throughout the design lifecycle
Work with avionics, embedded software, test, and manufacturing teams to iterate designs quickly
Support hardware/software integration and troubleshooting across avionics platforms
Document designs, test results, and engineering changes clearly
Basic Qualifications:
Bachelor's degree in electrical engineering or related field
Strong experience with complex digital or mixed-signal hardware design
Experience with high-speed digital systems, embedded processors, memory interfaces, and board-level architecture
Experience with PCB design tools (Altium preferred)
Hands-on experience with oscilloscopes, logic analyzers, and power supplies
Strong understanding of core EE principles including digital systems, signal integrity, power distribution, and hardware debugging
Comfortable working in a fast-paced, highly collaborative environment
Preferred Qualifications:
Experience owning flight computer, avionics, or embedded compute hardware architectures
Experience taking complex PCBAs from concept through bring-up, validation, and integration
Exposure to embedded systems, firmware, or FPGA interaction
Familiarity with aerospace, automotive, robotics, defense, or other high-reliability hardware environments
Familiarity with interfaces such as Ethernet, SPI, I2C, UART, CAN, PCIe, or DDR memory systems
Basic scripting or programming experience (Python, C/C++
Location: Montreal, Canada
ON-SITE IN MONTREAL IS PREFERRED; REMOTE OR HYBRID IS POSSIBLE FOR THE RIGHT CANDIDATE.
Open for candidates in Canada as well as the US
Tasks
Contribute to the
system architecture design
of advanced digital telecom payloads.
Support system-level
performance and functional analysis
, including link budgets and signal routing paths.
Participate in
Failure Detection, Isolation, and Recovery (FDIR)
strategy development and analysis.
Assist in
RF signal analysis
and system-level integration activities.
Contribute to the creation and
maintenance of payload performance budgets
.
Support requirements derivation, traceability, and management across subsystems.
Collaborate with cross-functional teams to define interfaces and ensure end-to-end system performance.
Participate in design reviews, technical documentation, test planning, and troubleshooting throughout the development lifecycle.
Must haves
Bachelor’s or Master’s degree in Electrical Engineering, Telecommunications, or a related field.
2–5 years of experience in space systems, satellite communications, or a related discipline.
Foundational knowledge of
digital signal processing
,
RF systems
, and
telecommunications architectures
.
Relevant Experience with testing of satellite subsystems.
Strong attention to detail, analytical mindset, and team-oriented approach.
Effective communication and technical documentation skills.
Must be eligible to work in Canada and capable of obtaining necessary security clearance.
Complementary skills/knowledge
Previous experience in Space and/or Constellation Operations
Knowledge of requirements Management tools such as DOORS/Windchill/Jama
Demonstrated capability to efficiently work autonomously and with little to no supervision
Strong written and verbal communications skills in English, knowledge of French will be considered favorably
УдалённоMontreal, Canada; Open for candidates in Canada as well as the US
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 an engineer on this team, you'll sit at the intersection of IT and facilities. You'll build the power models, availability models, topology and load management requirements that operate more efficiently against our physical envelope. Your work will directly shape which sites we lease, what SLAs we sign, how far we oversubscribe, and where workloads are placed.
What You'll Do
Topology and load management.
Own the power and cooling topology of our fleet as a living dataset, validate it and its telemetry against how the buildings really behave, and define how load management behaves under failure across chips and capacity providers, from requirements through commissioning and incident support.
Reliability modeling.
Build and audit availability models of data center electrical and mechanical systems, define Cloud availability zones and failure domains, from a single site to the whole fleet.
Power modeling and load forecasting.
Build models of power draw from chip to rack to facility, by workload and hardware generation, and use them to set capacity planning targets, design envelope, and load forecasting.
Partner diligence.
Work with data center developers, operators, cloud providers and chip vendors to drive design improvements and hold them to SLA-grade performance, with technical diligence on their architectures, reliability studies, rack power specifications and operator interfaces.
What We're Looking For
Deep knowledge of data center power distribution and cooling architectures, redundancy schemes, and how they interact with IT load profiles.
Depth in at least one of: reliability engineering, power modeling and energy scheduling, or load management and controls (telemetry, IT/OT interfaces, load transfer and shedding systems).
Familiarity with SCADA/BMS/EPMS, telemetry pipelines, and control systems. Experience with software that bridges IT and OT.
Exposure to accelerator deployments and their power management interfaces, or to capacity overallocation in large compute fleets, strongly preferred.
Ability to translate between infrastructure engineering, software teams, legal and commercial teams, and external partners.
Required Qualifications
Bachelor's degree in Electrical Engineering, Mechanical Engineering, Power Systems, Reliability Engineering, Controls Engineering, or a related field
5+ years of experience in data center infrastructure, facility engineering, or reliability engineering
Demonstrated experience with data center power distribution and cooling system architectures, and infrastructure failure mode management
Demonstrated experience in at least one of the following:
Building quantitative reliability or availability models (Monte Carlo, fault tree, reliability block diagram, or FMEA)
Building power, energy or capacity models and forecasts from measured data
Building, testing or operating software-based power management, load shedding, or control systems
Track record of cross-functional collaboration across hardware, software, and facilities teams
Preferred Qualifications
Experience in more than one of the three focus areas above
Experience with accelerator-class deployments, rack power architectures, and their power management interfaces
Experience with integrated systems testing and commissioning (L4/L5), or writing sequences of operation
Experience with SLA development, availability commitments, or service credit frameworks in leases or cloud contracts
Experience with energy storage, microgrid integration, demand response, or behind-the-meter generation
Exposure to ML or optimization techniques applied to infrastructure or energy systems
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$320,000
—
$405,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Atlanta, Georgia; Toronto, Ontario; Athens, Georgia
Workplace: Hybrid
Artificial Intelligence. Actual Impact.
At Docebo, we’re using AI to change how people learn at work—and we mean actually change it. We’re an AI-powered learning platform that helps organizations create, deliver, and manage training all in one place. But our real mission goes deeper: we help teams move faster, work smarter, and focus on the work that truly matters. Our platform is built with intelligent, time-saving tools that personalize learning, eliminate busywork, and turn training from a checkbox into a superpower. The result? Better experiences for learners and real results for businesses.
We’re shaping the future of learning with a team that isn’t afraid to challenge the status quo. If you're excited by the idea of using AI to make work-life better for real people–you’ll feel right at home here. And it’s not just what we build, it’s how we show up. At Docebo, our values aren’t just posters on the wall—they guide how we work every day. We call it the Docebo Heart: trust by default, assume positive intent, and create space for different perspectives to thrive.
So… what are you waiting for? Join 900+ Docebians around the world and help us reinvent the way people learn, because learning never stops.
THE ADVENTURE AHEAD 🚀
As our Vice President, Information Security, you will step up as the de facto security leader owning Docebo’s global security strategy across product, cloud, GRC, and AI. This is not an advisory tower role; you will operate at executive altitude while staying close to real architecture, engineering decisions, threat modeling, and control execution. You will drive hard, measurable risk reduction while pioneering AI-first security practices that empower our business to move fast with complete confidence.
THE DAY-TO-DAY 🗓️
- Architect Global Strategy: Own and evolve Docebo’s enterprise security roadmap across product security, cloud hardening, GRC, privacy, and incident response to achieve measurable control maturity.
- Embed Security by Design: Partner deeply with Product and Engineering to integrate threat modeling, secure SDLC, CI/CD security, identity controls, and vulnerability remediation into core engineering workflows.
- Pioneer AI-First Security: Build robust governance and controls for AI products and internal tooling while harnessing AI to automate detection, vulnerability management, and threat response.
- Champion Customer Trust: Lead compliance programs (SOC 2, ISO 27001) backed by real controls, and represent Docebo with executive credibility in board updates, audits, and enterprise customer due diligence.
- Elevate Defense Operations: Strengthen security telemetry, threat intelligence, and detection across cloud and corporate environments to protect against emerging modern attack patterns.
- Empower High-Impact Teams: Lead and coach a talented security team, building a high-accountability culture focused on clear outcomes, rapid execution, and continuous learning.
YOUR SUPERPOWERS ⚡
- Proven Executive Leadership: Significant experience leading information security programs in a software, SaaS, or tech product environment with a track record of executive and board collaboration.
- Deep Technical Foundations: Hands-on mastery of application security, cloud security (AWS), infrastructure, identity systems, secure SDLC, and modern vulnerability management.
- Mandatory Certification: Active CISSP credential backed by a deep understanding of SOC 2, ISO 27001, privacy regulations, and enterprise SaaS security standards.
- Collaborative Business Driver: Exceptional ability to forge trusted partnerships across Product, Engineering, Legal, and Sales, acting as an enabler who balances security with business velocity.
- Outcome-Focused Execution: A clear track record of using metrics and business risk language to make decisive, risk-informed choices in complex, ambiguous environments.
BONUS POINTS 🎯
- AI Security Expertise: Hands-on experience securing AI-enabled products and LLMs, or utilizing AI tools to scale security operations and automated testing.
- Advanced Technical Certifications: Additional credentials such as CISM, CISA, CCSP, AWS Security Specialty, or GIAC, combined with offensive security or red teaming experience.
- Enterprise & Public Sector Reach: Proven experience navigating FedRAMP standards, public-sector requirements, and high-growth global SaaS expansion.
OUR HYBRID WORK PHILOSOPHY 🤝
Great work can happen anywhere but coming together helps us go further. Our team spends three days a week in the office (Tuesday-Thursday) to collaborate, solve problems, and learn from each other. With flexibility the rest of the week, it’s a balance designed to help everyone do their best work and keep growing.
OUR TOTAL REWARDS PHILOSOPHY 🎉
Our Total Rewards Philosophy centers around three core areas to reward and care for our People:
- Rewarding Impact: We lead with competitive pay to reward the impact, skills and traits that fuel our success.
- Fostering Holistic Wellbeing: We care deeply about and invest in the whole person with programs that support our people’s physical, mental, and financial well-being.
- Empowering Our Talent Culture: We build a culture of trust and empowerment by designing our rewards and benefits with transparency, equity, and flexibility, enabling our people to do their best work and stay for the long haul.
OUR PROMISE TO YOU 😍
- Financial Wellness: Own a piece of Docebo through our Employee Share Purchase Plan (ESPP) at a 15% discount, plus a competitive compensation package.
- Your Well-Being, Covered: You’ll get access to health benefits, so you can get the care you need when you need it.
- Rest, Relax, Repeat: Rest and recharge with paid vacation days, two company-wide Docebo Days, floating holidays for cultural celebrations, and your birthday off!
- Family First: We provide coverage offering you time with your little one(s) so you can soak up all those precious moments. Fun fact: we had 30 Docebian babies join the family in 2025!
- Connections That Count: Connect with global communities through our Employee Resource Groups (including PRIDE, DWA, BIDOC, and Green Ambassadors) and company-wide events that keep the fun rolling all year long.
ABOUT DOCEBO 💙
At Docebo, we create seamless, AI-powered learning experiences for over 3,000 customers worldwide. We have successfully achieved two IPOs (TSX: DCBO & NASDAQ: DCBO https://www.docebo.inc/home/default.aspx), been recognized as a top SaaS e-learning solution, and are growing exponentially in the process. We're a global company, with office across North America, EMEA, APAC, and beyond. Our team is guided by five core values—Grow Together Win Together, Build with Our Customer, Clear is Kind, Own Outcomes, Progress Over Perfection—that shape everything we do. If this resonates with you, now is the perfect time to join one of the fastest-growing learning technology companies in the world.
Docebo is an Equal Employment Opportunity employer https://www.eeoc.gov/sites/default/files/2022-10/EEOC_KnowYourRights_screen_reader_10_20.pdf. We are committed to diversity and inclusion in our workforce. All qualified applicants and employees will receive consideration for employment regardless of their race, colour, religion, sex (including pregnancy, gender identity, and sexual orientation), national origin, citizenship status, age, disability, genetic information, or any other category protected under applicable law.
As a federal contractor, Docebo is committed to the principles of affirmative action and equal employment opportunity for protected veterans and individuals with disabilities. Docebo does not discriminate because of protected veteran status or on the basis of disability, and Docebo takes affirmative action to employ and advance in employment qualified protected veterans and individuals with disabilities.
Any individuals requiring a reasonable accommodation or would like to voluntarily disclose a disability or protected veteran status to assist with their employment application should send an e-mail to their recruiter directly.
Location: Remote, Canada; Remote, United States
GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster.
The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems.
Co-create the future with us
as we build technology that transforms how the world develops software.
*
Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab.
An overview of this role
You'll lead GitLab's Dedicated Infrastructure team, combining hands-on technical leadership with team development. Working with the team's Product Manager, you'll balance delivery speed and quality, guide architecture decisions, and lead the team through incidents.
You'll demonstrate ideas through proofs of concept, give team members meaningful feedback, and use data to make prioritization and risk decisions.
What you’ll do
Partner with the team's Product Manager to set clear priorities and deliver with quality and speed.
Maintain at least 99.9% availability for Dedicated infrastructure, strengthen security, and automate operations to support more tenants at scale.
Give your team clear direction and meaningful feedback, and build shared ownership of development and operations.
Improve the platforms and tools your team owns so feature implementers can manage their services in production through self-service workflows.
Recruit, onboard, and develop productive team members, supporting their growth and accountability.
Lead by example with proofs of concept and artificial intelligence (AI)-assisted approaches. Simplify processes and automate repetitive manual work.
Model effective incident management, lead timely resolution and escalation, and document and teach best practices across GitLab.
Use data to prioritize work, quantify impact, and manage risk and technical debt. Explain technical trade-offs to stakeholders to support their decisions.
What you’ll bring
A track record of building and owning large-scale distributed services, with the technical depth to evaluate architecture and guide technical strategy.
Experience with fleet management, Terraform, Amazon Web Services (AWS), and automated provisioning at a scale of 20 or more clusters.
Experience owning services with 99.99% availability service-level objectives (SLOs), and an understanding of the operational practices needed to sustain them.
Experience using AI tools to improve team productivity, with lessons learned from both successes and missteps.
Experience building and managing accountable, high-performing teams, including addressing underperformance and making difficult performance decisions when needed.
The ability to lead complex projects to completion without relying on a dedicated Technical Program Manager.
Experience leading distributed, remote teams effectively.
About the team
We build and operate the large-scale distributed infrastructure for GitLab Dedicated, our hosted software as a service (SaaS) platform. Our work centers on availability, security, fleet management, and automated provisioning across tenants. We also build self-service platforms and tools that enable feature implementers to own their services in production.
At GitLab, our mission is simple: to enable everyone to contribute to and co-create the software that powers our world. We collaborate asynchronously, with autonomy, accountability, and transparency guiding how we work.
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
$152,800
—
$259,200 USD
How GitLab Supports Full-Time Employees
Benefits to support your health, finances, and well-being
Flexible Paid Time Off
Team Member Resource Groups
Equity Compensation & Employee Stock Purchase Plan
Growth and Development Fund
Parental Leave
Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from
underrepresented groups
are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application.
Country Hiring Guidelines:
GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process.
Privacy Policy:
Please review our
Recruitment Privacy Policy.
Your privacy is important to us.
GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also
GitLab’s EEO Policy
and
EEO is the Law
. If you have a disability or special need that requires
accommodation
, please let us know during the
recruiting process
.
Torrance, United States
УдалённоRemote, United Kingdom
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