Location: 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
This is an overnight shift role with working hours of 12:00am - 7:00am EST.
As a Support Engineer on our U.S. Government Support Engineering team, you operate at the critical intersection of Support and Engineering, enabling public sector organizations and United States government agencies to run GitLab in some of the most secure and constrained environments in the world. Your work directly supports national security missions, including customers operating within FedRAMP-authorized, air-gapped, and classified or semi-classified environments where traditional troubleshooting approaches are not always possible.
In this role, you will engage deeply with GitLab through the command line; analyzing logs, system behavior, and application performance with strong Linux fundamentals and an understanding of how GitLab’s components interact end-to-end. You may partner with Product and Engineering to reproduce and document edge-case defects using sanitized or redacted data, or contribute directly to the product by opening merge requests that resolve customer-impacting issues. Beyond resolving individual cases, you’ll help strengthen GitLab by improving documentation, support workflows, and institutional knowledge, ensuring that lessons learned in highly regulated environments benefit the broader platform; all while working in a fully remote, highly collaborative environment built on trust, autonomy, and shared ownership.
Some examples of our projects:
A tool to quickly analyze strace output
A solution to capture the state of a customer’s server for easier troubleshooting
A functionality to ChatOps to make it easier to identify user accounts on GitLab.com
What you’ll do
Collaborate closely with public sector customers, including U.S. government agencies, the Department of War, and Intelligence Community organizations, to diagnose, troubleshoot, and resolve complex issues in GitLab deployments operating under strict security, compliance, and operational constraints.
Perform deep, hands-on technical investigations using Linux command-line tooling and GitLab internals to analyze logs, system performance, and application behavior, often with limited telemetry or incomplete datasets. You will trace issues across infrastructure, application, and code paths to identify root causes, recommend mitigations, and drive durable fixes; frequently partnering with GitLab Product, Development, and Infrastructure teams to ensure outcomes that meet both mission and platform reliability requirements.
Create and update clear, reusable documentation and support content based on real customer interactions to improve self-service and reduce repeated issues.
Participate in regular
pairing sessions
with other Support Engineers and act as a
stable counterpart
to cross-functional teams to share knowledge and improve support processes.
Contribute to building and refining internal support tools and workflows, including automation and troubleshooting utilities, to make diagnosing and resolving issues more efficient.
Participate in weekday and weekend on-call rotations, providing timely emergency support for self-managed customers operating in restricted and compliance-focused environments.
Support the growth of the team by reviewing applications and assessments, and participating in interviews and hiring decision discussions.
What you’ll bring
Due to government security requirements, you must be a United States Citizen (defined as any individual who is a citizen of the United States by law, birth, or naturalization) to be eligible for this position
Experience managing customer-facing cases across the full support lifecycle, from initial inquiry and triage through reproduction, escalation, and resolution
Strong Linux systems administration knowledge, with the ability to troubleshoot performance and configuration issues in complex environments
Familiarity with AI/LLM-powered developer tooling and gateway architectures (for example GitLab Duo, AI gateway configurations, or similar model-serving/proxy layers), including how they're deployed and troubleshot in self-managed or air-gapped environments
Ability to use scripting languages (preferably Ruby or Bash) and work within model-view-controller frameworks (preferably Ruby on Rails) to investigate and resolve issues
Practical experience with Git and continuous integration/continuous delivery (CI/CD) workflows
Skill in creating and maintaining clear, accurate support content and technical documentation
Ability to explain complex technical topics in a clear, empathetic way to customers and coworkers with varying technical backgrounds
Familiarity with DevOps practices and container-orchestration technologies such as OpenShift and Kubernetes
Understanding of common information security and compliance concepts and controls (for example DISA STIG and SELinux), and eligibility to work on United States federal customer environments as required for this role
About the team
At GitLab Federal, LLC, the U.S. Government Support Engineering team partners with public sector organizations and United States government agencies to support GitLab in highly secure, mission-critical environments. Our work directly enables national security outcomes, supporting customers across the Intelligence Community, Department of War, and other federal, state, and local government entities operating within regulated and restricted boundaries.
We are embedded within Support Engineering and work closely with Product, Development, Infrastructure, Customer Success, and Sales to solve complex, high-impact technical challenges. Our team frequently dives into code, logs, and architectural behavior to understand not just what is failing, but why; especially in environments with sanitized data, limited visibility, and strict compliance controls such as FedRAMP. We collaborate asynchronously across time zones and through structured pairing and discussion to share knowledge, strengthen solutions, and continuously improve how GitLab supports secure, air-gapped, and regulated deployments, while upholding GitLab's standards for rigor, transparency, and technical excellence.
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
$95,200
—
$160,800 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
.
УдалённоRemote, United States; This is an overnight shift role with working hours of 12:00am - 7:00am EST; We collaborate asynchronously across time zones and through structured pairing and discussion to share knowledge, strengthen solutions, and continuously improve how GitLab supports secure, air-gapped, and regulated deployments, while upholding GitLab's standards for rigor, transparency, and technical excellence; The base salary range for this role’s listed level is currently for residents of the United States only
Location: San Francisco
Workplace: OnSite
ABOUT US:
AI NEEDS A NEW INFRASTRUCTURE LAYER. WE'RE BUILDING IT AT MODAL.
Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now.
Our customers include category-defining companies like Ramp https://modal.com/blog/how-ramp-built-a-full-context-background-coding-agent-on-modal, Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale.
We've passed $1B in annualized run rate, up 15x from a year ago. In October 2026 we raised a $750M Series D led by Accel at a $15.75B valuation.
Our team includes creators of popular open-source projects (e.g.,Seaborn https://github.com/mwaskom/seaborn,Luigi https://github.com/spotify/luigi), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience.
THE ROLE:
Modal’s Inference Runtime team owns the container runtime stack used to run inference and training workloads across our fleet. We work at the boundary of Linux, containers, filesystems, storage, GPU drivers, and distributed systems.
Our goal is to make demanding ML workloads start quickly, run efficiently, and remain securely isolated, whether they use a single GPU, hundreds of gigabytes of memory, or multiple GPUs connected with RDMA.
We’re looking for a systems engineer who enjoys working deep in the stack. You’ll build production runtime infrastructure in Rust and Go, diagnose difficult Linux and performance problems, and help determine the architecture of Modal’s container platform. You’ll also work closely with maintainers of gVisor and contribute to the runtime itself when the right fix belongs upstream.
WHAT YOU'LL WORK ON:
- Make container startup, checkpoint, and restore dramatically faster for large inference and training workloads
- Build multi-GPU and accelerator-aware snapshotting, including efficient handling of GPU memory and RDMA-enabled workloads
- Design zero-copy and low-copy data paths between container memory, filesystems, storage, and Modal’s runtime
- Optimize large snapshot pipelines using techniques such as parallel uploads, direct I/O, incremental snapshots, and more efficient memory handling
- Improve container image and filesystem performance across EROFS, FUSE, page caches, overlay filesystems, and remote storage
- Extend our sandboxed runtime to support new GPUs, drivers, profiling tools, and device capabilities across NVIDIA and AMD hardware
- Debug complex failures involving system calls, virtual memory, process lifecycle, kernel behavior, GPU drivers, and container isolation
- Safely roll out runtime and kernel changes across a heterogeneous fleet using compatibility controls, scheduling constraints, feature flags, and observability
- Work across the runtime, scheduler, storage, and GPU infrastructure, and take ambiguous production problems from investigation through deployment
YOU MAY BE A FIT IF:
- You have strong Linux systems knowledge, particularly processes, virtual memory, filesystems, system calls, scheduling, namespaces, cgroups, and signals
- You’ve built or debugged container runtimes, sandboxes, the Linux kernel, or similarly low-level infrastructure
- You have strong programming ability in Rust, Go, or another systems language, and an interest in becoming productive in both Rust and Go
- You’ve profiled and improved systems where memory movement, I/O, synchronization, or kernel interactions dominate performance
- You’re comfortable debugging across abstraction boundaries, from application behavior down through runtimes, drivers, and the kernel
- You can turn loosely defined production problems into well-designed, reliable systems
- You want to own important infrastructure and work closely with both internal teams and customers
NICE-TO-HAVE:
Any of the following would be helpful, but none is required:
- gVisor, runsc, runc, OCI runtimes, seccomp, or checkpoint/restore systems
- Linux kernel development, virtualization, sandboxing, kernel modules, or device proxying
- CUDA, ROCm, GPU drivers, accelerator virtualization, or GPU profiling
- RDMA and high-performance networking
- FUSE, EROFS, direct I/O, mmap, page-cache behavior, or storage engines
- Large-memory or multi-GPU inference and training systems
- Contributions to open-source systems software
Prior gVisor or machine-learning experience is not required. We care more about strong systems fundamentals, curiosity, and the ability to learn unfamiliar parts of the stack.
WHY THIS ROLE:
The container runtime is directly on the critical path for inference performance. Improvements here can substantially reduce cold starts, increase token throughput, unlock new accelerator types, and make previously impractical workloads possible.
This is an opportunity to work on unusually deep systems problems with immediate production impact. You’ll have room to shape the architecture, contribute to open-source runtime technology, and take ownership of foundational infrastructure used by every inference and training workload on Modal.
Location: Los Angeles, CA
Workplace: onsite
About Spin.AI
Spin.AI is a global SaaS security company based in Palo Alto, CA, protecting enterprises from SaaS ransomware, Shadow IT, non-compliance, data loss, and data leak disasters in the cloud.
SpinOne is an all-in-one SaaS data protection platform built for mission-critical applications such as Google Workspace, Microsoft 365, Salesforce, Slack, and Atlassian. We deliver the most innovative last line of cyber defense, along with SaaS data management and protection, for more than 2,000 organizations worldwide. Learn more at https://spin.ai/
About the Role
We are looking for a hungry, energetic Regional Sales Manager to join our growing security team. Reporting directly to our VP of Sales, this role will focus on selling Spin.ai's industry-leading Browser Security solution - a fast-growing market - as well as its recently acquired, best-of-breed SaaS DLP solution, DoControl. This role centers on cutting-edge security, combining top-tier SaaS-level DLP and Browser Security capabilities into a solution no other vendor in the market is able to match. This is a net-new-logo role focused on the Mid-Market/Enterprise space, with an average deal size of $100,000.
What You'll Do:
Pipeline Creation
Work with the VP of Sales and Partner Manager to source deals through our growing partner network - Optiv, Defy, and others
Build market awareness by attending trade shows, building relationships, and following up relentlessly
Partner with Marketing and the SDR team on strategic, focused outbound and inbound management efforts
Deal Management
Drive deals from sourcing to closed-won, including discovery, demos, and Proof-of-Value (POV) execution, negotiations, and procurement
Multi-thread accounts and build relationships from the executive level down to ensure deal alignment and success
Partner with the Principal Solutions Engineer to deliver effective, relevant demos and POVs
Align internal teams as needed to support account success - product requests, financial approvals, etc.
Market Expertise
Maintain deep knowledge of the Browser Security and DLP space
Understand Spin.ai's differentiators and know every competitor inside and out
Fluently pitch the combined Browser + DLP solution, with the ability to sell each individually or jointly as needed
Ask the right discovery questions to uncover each prospect's real challenge
Partner with Product to provide feedback on where we can continue to improve and enhance the solution
Keep Salesforce up to date and maintain a clean, accurate forecast, fulfilling MEDDPICC requirements to ensure each deal is properly qualified, with gaps identified and resolution paths in place
What You Bring:
Cybersecurity Experience:
A proven track record successfully selling enterprise deals ($100K+) for 3+ years, with consistent quota attainment
Domain Knowledge:
Strong understanding of the Browser Security and DLP space, ideally with experience selling similar products
Partner Experience:
A track record of selling with and through channel partners in the cybersecurity space
Positive Attitude:
A mindset focused on positivity and finding ways to do more, every day
Grit and Drive:
Willingness to get hands-on, go above and beyond, leverage internal resources, and do what it takes to drive success for yourself and your prospects
What We Offer:
$300k OTE plus Uncapped Commissions
Unlimited PTO
Hybrid Office Model
Paid Holidays
Premium health, dental, vision, and life insurance, 100% covered by the company
401(k)
Employee Wellness Program
Why Spin.AI:
Inc. 5000 list for 2026! 🚀
Overall Ranking: #3,309
Industry Ranking: #107
Metro Ranking: #114
State Ranking: #463
Forbes Named Spin.AI One of America's Best Startup Employers
THREE
Years in a Row (2024- 2026)
Work in a fast-moving, high-impact cybersecurity company recognized by
Gartner, Forrester, and G2
.
Collaborative, transparent culture – your ideas and experiments matter.
Direct impact: your work translates into real business growth and visibility.
Growth opportunities and performance-based rewards.
Why join Spin.AI?
This is an incredible opportunity to join a fast-paced team with high growth potential to become a new unicorn or decacorn within the next few years.
Dream team of highly motivated and talented people, ambitious goals and challenges that require high analytical, management and communication skills.
EEO Statement
Equal Opportunity Employer
Spin.AI is proud to be an equal opportunity employer and is committed to maintaining a diverse and inclusive work environment. All qualified applicants will receive considerations for employment without regard to race, color, religion, sex, age, disability, marital status, familial status, sexual orientation, pregnancy, genetic information, gender identity, gender expression, national origin, ancestry, citizenship status, veteran status, and any other legally protected status under federal, state, or local anti-discrimination laws.
View The EEO is the Law poster and its supplement.
Disability Accommodation
For individuals with disabilities that need additional assistance at any point in the application and interview process, please contact our HR Manager, Shushan Akopian via shushan@spin.ai.
Location: New York
Workplace: OnSite
ABOUT US:
AI NEEDS A NEW INFRASTRUCTURE LAYER. WE'RE BUILDING IT AT MODAL.
Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now.
Our customers include category-defining companies like Ramp https://modal.com/blog/how-ramp-built-a-full-context-background-coding-agent-on-modal, Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale.
We've passed $1B in annualized run rate, up 15x from a year ago. In October 2026 we raised a $750M Series D led by Accel at a $15.75B valuation.
Our team includes creators of popular open-source projects (e.g.,Seaborn https://github.com/mwaskom/seaborn,Luigi https://github.com/spotify/luigi), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience.
THE ROLE:
We’re looking for a Legal Operations Lead to join us as the first dedicated legal operations hire at Modal. You’ll own the systems, records, and workflows that let a small legal team keep pace with a high-growth tech company, and you’ll have an opportunity to build most of them from scratch.
This is a great fit for a highly organized, systems-oriented operator who thrives in a fast-paced environment and wants to build operational foundations, not just maintain them. You’ll report to our General Counsel and collaborate closely with the Finance, BizOps, GTM, and People teams.
WHAT YOU’LL WORK ON:
- Build and maintain contract operations, including designing the contract lifecycle management workflows and approval logic, and continuing to iterate and improve those processes
- Design a legal intake process to support and route legal requests from internal stakeholders
- Make the legal function faster with AI, and build and configure tooling to make us more efficient
- Manage corporate administration and record-keeping, including Board and stockholder matters, signature coordination, and building a knowledge management system and database
- Be the point person for corporate compliance, including entity management, foreign and domestic qualifications and filings, and coordination with registered agents
- Support stock administration and cap table hygiene
- Manage outside counsel and legal spend
YOU MAY BE A FIT IF:
- You have 5+ years in legal operations, contract operations, or a corporate paralegal role, preferably at a high-growth technology company
- You’ve built and documented processes from the ground up, not just executed existing ones
- You have experience configuring workflows and templates within Ironclad or a similar CLM
- You have experience with AI tools and good instincts about where they help and where they quietly introduce risk
- You have sound judgment about what to handle and what to escalate
NICE-TO-HAVE:
- Exposure to corporate and equity administration
- Familiarity with Carta or a similar equity administration platform
We're looking for a manager to own the performance of our Document Processing team and lead the Processing Supervisors who run it day to day. If you think in systems, lead through others, and measure what matters, this role is for you.
Location: Remote - US
Who we are
At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to
hundreds of thousands of businesses
and empower millions of developers worldwide to craft personalized customer experiences.
Our dedication to
remote-first work
, and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands.
.
Hiring and how we work
We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions!
Also, while we are a remote-first company, you may be asked to report in person on an ad-hoc basis for team gatherings, functional off-sites or customer meetings.
.
See yourself at Twilio
Join the team as a Staff Mobile Software Engineer for Stytch, where you'll shape the next generation of identity and fraud prevention products.
About the job
As a Staff Mobile Software Engineer you will help scale Stytch’s core identity and fraud products as we bring Stytch capabilities to Twilio’s full customer base, delivering secure, developer-first identity and fraud prevention experiences. You’ll build mobile SDK products that power authentication, fraud detection and prevention as well as emerging agentic identity use cases. You’ll partner closely with product and engineering leadership to design and deliver high-impact customer-facing features, and evolve our platform for Twilio’s scale. This is a rare chance to operate like a startup within Twilio: you’ll work in a high-ownership environment with startup speed, backed by Twilio’s reach and scale.
Responsibilities
Build and own the mobile SDKs for Stytch’s identity and fraud detection platforms on Twilio—go deep on device internals for complex signal collection to improve identification of bad actors and ship new SDK surfaces powering core authentication flows, including agenting and non-human identity use cases.
Partner with Product and Engineering leadership to set direction, translate customer needs into product capabilities, and deliver high-impact roadmap features.
Collaborate across Twilio and Stytch teams to align on architecture, integrate platform capabilities, and unblock cross-team initiatives.
Operate with deep technical ownership: author design docs, drive key technical decisions, review code, and stay close to the systems you ship.
Build in ambiguity—break down complex problems, make pragmatic tradeoffs, and design developer experiences that delight our customers.
Improve production quality and resilience through strong observability, incident response and remediation.
Mentor and support other engineers through pairing, feedback, and knowledge-sharing, helping raise the team’s technical bar and culture.
Qualifications
Twilio values diverse experiences from all kinds of industries, and we encourage everyone who meets the required qualifications to apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table!
Required
6+ years of professional mobile engineering experience, with deep experience in designing, building and maintaining mobile applications.
Android development experience, fluent in Kotlin or Java.
Expertise in mobile development ecosystems, frameworks, 3rd party libraries.
Deep understanding of software engineering best practices, including monitoring, observability, and building maintainable systems.
Experience making high-impact technical decisions and leading technical initiatives.
A proven track record of driving technical excellence while keeping customer needs at the center of your work.
Deep understanding of software engineering best practices, including monitoring, observability, and building for the long term.
Exceptional communication and collaboration skills, with the ability to influence and align stakeholders.
Bachelor’s degree in Computer Science or related industry experience.
Excellent written and verbal communication skills.
Schedule: ability to work non-standard, on-call rotation weekend and holiday hours.
Desired
iOS development experience.
Familiarity with Kotlin Multiplatform, C/C++, Swift or Go.
Experience building developer tools or SDKs.
Builder at heart. Through a hobby or your profession, you are passionate about being hands on and seeing your work come to life.
Location
This role will be remote in either the US or Canada.
Travel
We prioritize connection and opportunities to build relationships with our customers and each other. For this role, you may be required to travel occasionally to participate in project or team in-person meetings.
What We Offer
Working at Twilio offers many benefits, including competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location.
Compensation
The estimated pay ranges for this role are as follows:
Based in Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, Vermont or Washington D.C. : $171,120 - $213,900
Based in New York, New Jersey, Washington State, or California (outside of the San Francisco Bay area): $181,200 - $226,500
Based in the San Francisco Bay area, California: $201,280 - $251,600
This role may be eligible to participate in Twilio’s equity plan and corporate bonus plan. All roles are generally eligible for the following benefits: health care insurance, 401(k) retirement account, paid sick time, paid personal time off, paid parental leave.
The successful candidate’s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location.
Twilio thinks big. Do you?
We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That's why we seek out colleagues who embody our values — something we call
Twilio Magic
. Additionally, we empower employees to build
positive change in their communities
by supporting their volunteering and donation efforts.
So, if you're ready to unleash your full potential, do your best work, and be the best version of yourself, apply now! If this role isn't what you're looking for,
please consider other open positions.
.
Stay alert to recruitment fraud
We care about your safety. Scammers sometimes impersonate Twilio recruiters through fake job postings, emails, websites, or messages. Please ensure you are engaging with an official @
twilio.com
email address. We will never ask for payment, gift cards, cryptocurrency, or banking information during the recruiting process. We do not make job offers without a formal interview process or conduct interviews exclusively through text-based messaging apps.
.
Twilio is proud to be an equal opportunity employer.
We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Additionally, Twilio participates in the E-Verify program in certain locations, as required by law.
Location: New York
Workplace: OnSite
ABOUT US:
AI NEEDS A NEW INFRASTRUCTURE LAYER. WE'RE BUILDING IT AT MODAL.
Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now.
Our customers include category-defining companies like Ramp https://modal.com/blog/how-ramp-built-a-full-context-background-coding-agent-on-modal, Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale.
We've passed $1B in annualized run rate, up 15x from a year ago. In October 2026 we raised a $750M Series D led by Accel at a $15.75B valuation.
Our team includes creators of popular open-source projects (e.g.,Seaborn https://github.com/mwaskom/seaborn,Luigi https://github.com/spotify/luigi), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience.
THE ROLE:
We’re looking for a Senior Commercial Counsel to join us as the first commercial lawyer at Modal. This is a high-impact role for someone who wants to draft and negotiate a wide variety of commercial agreements and build the templates, playbooks, and positions that guide our operations. You’ll report to our General Counsel and collaborate closely with the Sales, BizOps, Finance, and Engineering teams and help build the foundation for a small but growing legal team.
WHAT YOU’LL WORK ON:
- Own customer contracting, including MSAs, service orders, NDAs, DPAs, and BAAs, negotiating directly with customers and partnering with the Sales team throughout the full deal cycle
- Lead vendor-side contracting, including capex procurement, SaaS tools, and consulting arrangements, among others
- Build and maintain contract repositories, template libraries, and contract playbooks
- Partner with Legal Operations on our CLM, including approval workflows and escalation logic
- Review and revise operational policies (terms of service, privacy policy, acceptable use, and website terms) and customer-facing marketing materials
YOU MAY BE A FIT IF:
- You have approximately 5-10 years of combined law firm and in-house experience negotiating commercial technology agreements, with meaningful time supporting an enterprise sales motion
- You have a JD and active bar membership in good standing in New York or California
- You’re deeply familiar with SaaS contracting
- You’ve worked extensively within Ironclad or a similar CLM
- You can build templates and playbooks from scratch
- You have working knowledge of privacy and regulatory data protection frameworks, such as GDPR and HIPAA
- You have sound commercial judgment and know how to balance risk with the business needs of a high-growth tech company
NICE-TO-HAVE:
- Experience with infrastructure, compute, or datacenter supply agreements
Location: United States
About Nebius:
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
The role
Nebius is looking for a U.S. Regional Intelligence Analyst to be responsible for developing an up-to-date and in-depth regional understanding of the environment in which Nebius operates across the United States, with a focus on states, local authorities, sites, projects, and stakeholders relevant to the company’s operations and growth plans.
The role includes monitoring and analyzing political, regulatory, legal, public, and infrastructure-related developments; assessing community activity and local activism; and identifying trends and changes involving energy, the power grid, environmental matters, planning, and permitting that may affect the company and its existing or planned projects.
The Analyst will collect and integrate information from diverse sources into regional assessments, site reviews, and decision-focused briefings. The role will support management and internal teams by identifying emerging risks, changes, and opportunities and providing the local and regional context required for planning and informed decision-making.
Your responsibilities will include:
Monitor and analyze political, governmental, regulatory, and legal developments at the federal, state, and local levels across the United States.
Monitor changes in policy, legislation, permitting, and planning processes that may affect the company’s operations and existing or planned projects.
Assess the local environment surrounding company sites, including community activity, activism, protests, and public sentiment.
Map and analyze relevant stakeholders, including authorities, elected officials, local organizations, community groups, and professional bodies.
Monitor media trends, public narratives, and reputational issues relating to the company, its sites, and its operations in the United States.
Analyze developments involving the power grid, energy market, water, infrastructure, and environmental matters that may affect sites and projects.
Identify
emerging changes, risks, and opportunities of potential significance to the company’s regional operations.
Prepare regional assessments, state and site reviews, profiles, alerts, and decision-focused briefings.
Provide research support for site and project evaluations, executive visits, meetings, and business activities in the United States.
Collaborate with internal teams to align monitoring activities and deliverables with the company’s business and professional needs.
Maintain an up-to-date regional intelligence picture and provide ongoing reporting on material developments affecting the company’s sites and projects in the United States.
We expect you to have:
At least eight years of experience in regional research, commercial or business intelligence, risk analysis, policy research, political and regulatory research, or another relevant professional field.
Demonstrated experience researching and analyzing the U.S. environment at the federal, state, and local levels.
Strong familiarity with the structure of the U.S. government, legislative and regulatory processes, local authorities, and planning and permitting procedures.
Ability to conduct in-depth research using open sources, databases, official documents, public records, legal and regulatory sources, media, and social media.
Experience analyzing stakeholders, community activity, local activism, public trends, and reputational issues.
Demonstrated ability to integrate information from different sources, identify trends and early signals, and develop clear, well-founded assessments.
Experience preparing reviews, assessments, and briefings for management and internal stakeholders.
Ability to work independently, manage multiple assignments, and meet deadlines while adapting to changing priorities.
Sound judgment, accuracy, discretion, and the ability to handle sensitive information responsibly.
Bachelor’s degree in a relevant field such as political science, international relations, law, public policy, economics, U.S. studies, or a comparable discipline.
It will be an added bonus if you have:
Previous experience in a research firm, commercial intelligence firm, consulting firm, global company, or international corporate environment.
Experience researching infrastructure, energy, the power grid, data centers, technology, or large-scale projects.
Familiarity with site-evaluation processes, land use, permitting, environmental regulation, and local government in the United States.
Experience supporting market entry, business expansion, or the evaluation of projects and transactions.
Professional or academic experience in the United States and direct familiarity with the local business and public environment.
Experience using artificial intelligence tools, digital research tools, professional databases, and Microsoft Office applications.
Key employee benefits in the US:
Health insurance:
100% company-paid medical, dental, and vision coverage for employees and families.
401(k) plan:
Up to 4% company match with immediate vesting.
Parental leave:
20 weeks paid for primary caregivers, 12 weeks for secondary caregivers.
Remote work reimbursement:
Up to $85/month for mobile and internet.
Disability & life insurance
: Company-paid short-term, long-term and life insurance coverage.
Pay Transparency
We offer competitive compensation and benefits packages. Actual compensation will be determined based on job-related factors, including experience, skills, qualifications, the level at which the candidate is hired, and geographic location, consistent with applicable law.
Base Compensation Range
$121,100
—
$151,300 USD
Benefits & Perks:
Competitive compensation
Career growth and learning opportunities
Flexibility and ownership
Collaborative and innovative culture
Opportunity to work on impactful AI projects
International environment and talented teams
What's it like to work at Nebius:
Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
Equal Opportunity Statement:
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.
If you need accommodations during the application process, please let us know.
Location: Torrance, United States
We are hiring Avionics Hardware Engineers to own flight critical electronics across design, bring up, test, and integration. This role is intended for engineers with experience in complex electronic systems who can take responsibility for avionics subsystems and operate effectively in a hightempo development environment. Engineers in this role may own areas such as motor controllers, avionics backplanes, power distribution, or outward facing avionics test and integration.
RESPONSIBILITIES
Own avionics hardware from architecture and schematic design through PCB layout, bring-up, and production support
Drive design decisions including component selection, interfaces, and system tradeoffs
Lead hardware bring-up, debugging, and root-cause analysis across lab, integration, and flight test
Collaborate cross-functionally to ensure avionics hardware meets performance, reliability, and mission requirements
Define and execute hardware validation strategies appropriate to development and flight maturity
Produce clear technical documentation covering designs, test results, and engineering changes
Partner with manufacturing and suppliers to transition hardware from prototype to production
Continuously improve designs based on test results, field data, and evolving requirements
BASIC QUALIFICATIONS
Bachelor's degree in electrical engineering or related field
Proven end-to-end ownership of avionics or highnreliability electronic hardware
Strong experience with PCB design, bringnup, and lab debugging
Ability to operate autonomously and drive hardware issues to closure
PREFERRED QUALIFICATIONS
Avionics, aerospace, missile, space, automotive, or defense hardware experience
Experience with motor controllers, backplanes, power electronics, or flight hardware
Familiarity with MILnSTD or aerospace hardware standards (e.g., DOn254 exposure)
Embedded systems or FPGAnadjacent hardware experience
Experience supporting hardware in integration, test, or flight environments
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: 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: New York, NY
Who We Are:
Galaxy Digital Inc. (Nasdaq: GLXY) is a global leader in digital assets and data center infrastructure, growing the economy that runs on code. Galaxy delivers the onchain infrastructure that connects institutions to digital assets, including trading, advisory, asset management, staking, self-custody, and tokenization. Galaxy also develops and operates data center infrastructure to power AI and HPC workloads. Anchored by its Helios campus in Texas, Galaxy is building a multi-gigawatt pipeline of more than 5.7 GW of potential capacity, positioning it among the largest and fastest-growing data center developers in North America.
The Company is headquartered in New York City, with offices across North America, Europe, the Middle East, and Asia.
Additional information about Galaxy's businesses and products is available on
www.galaxy.com
.
What We Value:
We are a diverse team of free thinkers, and fast movers united to help investors and creators energize the global economy. We are looking for individuals who thrive in a culture of builders and overachievers and embrace high performance, transparent feedback, and a mission-first approach. Our culture shapes our way of working and gets us where we want to be.
Seek Excellence.
Be Selective To Be Effective.
Be Highly Aligned, Loosely Coupled.
Disagree Transparently.
Encourage Independent Decision-Making.
Build Dream Teams.
Who You Are
The Data Center Business Operations Manager is responsible for building, implementing, and continuously improving the operating frameworks, processes, and services that enable the business to operate consistently and effectively across locations and functions. This role owns the development of enterprise-level business operations standards, including processes, procedures, governance, taxonomy, naming conventions, documentation standards, tools, and operating expectations that teams use across the organization. The Business Operations Manager partners closely with Finance, Procurement, Legal, HR, IT, and other corporate functions to translate company requirements into practical processes that meet the needs of the business and can be effectively implemented at the site and functional level.
The Business Operations Manager also leads the development and management of Workplace Services programs that require consistency and coordination across the organization, including vehicle fleet, uniforms, transportation services, culinary programs, and other shared operational services. The Business Operations Manager establishes the program strategy, standards, processes, and expectations, while onsite Program Managers and local teams are responsible for implementing and managing those programs at the site level.
This role requires someone who can move fluidly between strategy and execution: designing scalable enterprise processes, partnering with corporate functions, building operational programs, and ensuring those programs can be successfully implemented in the field.
What You’ll Do
Business Operations & Enterprise Standards
Design, implement, and continuously improve enterprise-level business operations processes, procedures, workflows, governance standards, templates, tools, and operating expectations.
Establish and maintain consistent standards for how information is organized and managed, including taxonomy, naming conventions, documentation standards, project structures, reporting conventions, and other common ways of working.
Develop scalable frameworks and playbooks that teams can use to execute work consistently across departments, projects, and locations.
Identify recurring friction, process gaps, unclear ownership, inefficient handoffs, and inconsistencies across the business and implement scalable solutions.
Monitor adoption and effectiveness of business operations processes and standards, identifying gaps and driving continuous improvement as business needs evolve.
Cross-Functional Process & Project Support
Partner closely with Finance, Procurement, Legal, HR, IT, and other corporate functions to translate company-wide requirements into practical processes that appropriately support the needs of the business.
Partner with Finance and Procurement on the development and rollout of processes related to budgeting, forecasting, purchasing, vendor management, financial controls, and other requirements.
Support Legal with project management and cross-functional coordination for initiatives requiring structured planning, ownership, milestones, dependencies, and follow-through.
Workplace Services Programs
Build and oversee enterprise Workplace Services programs that support consistent, efficient operations across locations.
Establish the strategy, standards, processes, service expectations, and governance for programs such as vehicle fleet, uniforms, transportation services, culinary services, onsite office space and other shared workplace or operational services.
Partner with Procurement, Finance, Legal, and other stakeholders to establish appropriate vendor strategies, contracts, budgets, controls, and service-level expectations for Workplace Services programs.
Develop enterprise playbooks and implementation standards for Workplace Services programs, providing clear direction to onsite Program Managers and local teams responsible for execution.
Monitor program performance, service quality, cost, compliance, and business needs across locations and continuously improve programs as the organization evolves.
Identify opportunities to standardize services, improve the employee experience, reduce operational friction, create efficiencies, and appropriately leverage enterprise scale.
Standards & Governance
Establish enterprise program management standards, methodologies, tools, templates, and expectations that the team can apply across the organization.
Develop and maintain standards for work management systems, ensuring information is structured consistently and provides meaningful visibility across projects, departments, and locations.
Partner with PMO to establish appropriate reporting standards, dashboards, KPIs, portfolio reporting, and operating reviews to provide visibility into business priorities, execution, risks, dependencies, and capacity.Establish effective meeting, communication, and operating rhythms, including portfolio reviews, leadership updates, cross-functional operating reviews, and escalation mechanisms.
Establish priorities, expectations, and operating standards for regional Program Managers and ensure their work aligns with broader business priorities and enterprise operating practices.
Provide coaching, guidance, and development to regional Program Managers while creating accountability for execution and results.
Ensure regional Program Managers effectively support sites within their respective regions by coordinating cross-functional initiatives, resolving operational issues, implementing enterprise programs, and maintaining visibility into local priorities, risks, and dependencies.
Partner with site and functional leaders to ensure regional Program Manager resources are deployed against the highest-priority business needs.
What We’re Looking For
6+ years of experience in business operations, strategy and operations, program management, PMO operations, workplace operations, or a similar cross-functional role.
Demonstrated experience designing and implementing scalable operating processes across multiple teams, functions, or locations rather than simply administering existing processes.
Experience developing enterprise standards, operating procedures, governance frameworks, playbooks, taxonomies, documentation standards, and common ways of working.
Strong understanding of how business operations interact with Finance, Procurement, Legal, HR, IT, and other corporate support functions.
Experience translating corporate policies, controls, and functional requirements into practical operating processes that meet the needs of the business.
Experience building or managing shared operational or Workplace Services programs, such as fleet, transportation, food and beverage/culinary, uniforms, facilities-related services, or other enterprise services.
Strong program and project management capabilities, with experience establishing governance, accountability, reporting, and operating rhythms across complex organizations.
Experience with portfolio reporting, KPI development, dashboards, process documentation, and project/work management platforms.
Strong process-improvement mindset with the ability to identify root causes, simplify workflows, standardize where appropriate, and drive adoption of new ways of working.
Ability to influence and create accountability across teams without direct reporting authority.
Strong analytical, organizational, and communication skills with the ability to translate complex requirements into clear, executable processes.
Comfortable operating at both the strategic and detailed execution levels—able to design enterprise operating models and programs while remaining close enough to execution to ensure they work in practice.
PMP or equivalent project/program management certification preferred.
The base salary ranges included below will be commensurate with candidate experience, expertise and local market. Final offer amounts are determined by multiple factors, including candidate experience and expertise. At Galaxy, we maintain a total compensation philosophy which consists of a competitive base salary, annual bonus, and equity incentives.
What We Offer (US):
Competitive base salary and discretionary bonus
Hybrid/Flexible Working Arrangements
Flexible Time Off (paid)
3% 401(k) company contribution
Company-paid health and protective benefits for employees, partners, and other dependents
Generous paid Parental Leave
Competitive family planning benefits for US employees
Opportunities to learn about the Crypto industry
Smart, entrepreneurial, and fun colleagues
Free daily snacks and weekly breakfasts/lunches
Employee Resource Groups
Free coaching and counseling sessions through Headspace
*Benefits may vary depending on location.
Apply now and join us as we grow the economy that runs on code.
The base salary ranges included below will be commensurate with candidate experience, expertise and local market. Final offer amounts are determined by multiple factors, including candidate experience and expertise. At Galaxy, we maintain a total compensation philosophy which consists of a competitive base salary, annual bonus, and equity incentives.
Base Salary Range
$129,000
—
$207,000 USD
Galaxy respects diversity and seeks to provide equal employment opportunities to all employees and job applicants for employment without regard to actual or perceived age, race, color, creed, religion, sex or gender (including pregnancy, childbirth, lactation and related medical conditions), gender identity or gender expression (including transgender status), sexual orientation, marital or partnership or caregiver status, ancestry, national origin, citizenship status, disability, military or veteran status, protected medical condition as defined by applicable state or local law, genetic information or predisposing genetic characteristic, or other characteristic protected by applicable federal, state, or local laws and ordinances.
We will endeavor to make a reasonable accommodation to the known limitations of a qualified applicant with a disability unless the accommodation would impose an undue hardship on the operation of our business. If you believe you require such assistance to complete the application process or to participate in an interview, please contact
careers@galaxy.com.
Location: Remote - US
Who we are
At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to
hundreds of thousands of businesses
and empower millions of developers worldwide to craft personalized customer experiences.
Our dedication to
remote-first work
, and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands.
.
Hiring and how we work
We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions!
Also, while we are a remote-first company, you may be asked to report in person on an ad-hoc basis for team gatherings, functional off-sites or customer meetings.
.
See yourself at Twilio
Join the team as Twilio’s next Sr Financial Manager, Partnerships.
About the job
As Sr. Manager of GTM Finance for Global Partnerships, you will serve as the primary strategic co-pilot to the VP of Global Partnerships. You will design economic models driving our ecosystem strategy across Cloud Marketplaces (AWS, GCP, Azure), Global Systems Integrators (GSIs), and ISVs—ensuring partner incentive investments accelerate usage-based revenue while achieving profitability goals.
Responsibilities
In this role, you’ll:
Serve as the primary, trusted financial and strategic advisor to the VP of Global Partnerships and his global leadership team
Marketplace Strategy (AWS, GCP, Azure): partner with the marketplace and other cross functional teams in R&D, Marketing, GTM to optimize Twilio’s business through cloud marketplaces
Ecosystem Monetization: design revenue-share frameworks and co-sell incentives tailored to Twilio’s business
Program & MDF ROI: Build analytical frameworks to measure the return on Market Development Funds (MDF), partner tier rebates, and GSI enablement investments
Executive Decision Support: Deliver synthesized quarterly board-level narratives on partner-attributed versus partner-sourced trends as well as other strategic partner-related priorities
Long-Range Planning: lead global partner forecasting, capacity planning, and multi-year investment modeling
Unit Economics: Define, build, and monitor critical partner metrics including Partner-Sourced vs. Partner-Influenced Revenue, Margin-Adjusted CAC, and payback periods
Commercial Models: Partner with Sales and Legal to evaluate, model, and approve non-standard partner contracts and bespoke commercial structures
Develop robust financial models for new market expansion, evaluating the build-vs-buy-vs-partner economics for emerging international regions and product integrations
Partner closely with Corporate Accounting and Commission teams to ensure accurate, timely accruals for partner rebates, referral fees, and MDF contra-revenue adjustments
Own the global forecasting, budgeting, and month-end accruals for global partnership programs and incentives
Collaborate with RevOps, GTM Systems, and Data Engineering to build scalable, automated reporting infrastructure
Forge cross-functional alliances to identify margin drivers and scale cost-efficiency within the partner ecosystem.
Execute agile scenario planning and ad-hoc analyses for senior leadership regarding partnership investments.
Qualifications
Twilio values diverse experiences from all kinds of industries, and we encourage everyone who meets the required qualifications to apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table!
Required:
8+ years of FP&A experience in a progressive financial role
Strong financial modeling skills, with experience in forecasting, budgeting, and reporting
Excellent business acumen and ability to influence stakeholders with data-driven insights
Comfortable working with ambiguity and problem-solving across multiple teams
Ability to work independently and think strategically
Excellent verbal and written communication skills
Highly proficient with Google Sheets or Excel
Desired:
Bachelor’s degree in Finance, Business, Economics or related field, or equivalent experience
Experience with Anaplan, Tableau, Looker, and Oracle a plus
Location
This role will be remote,
but is not eligible to be hired in CA, CT, NJ, NY, PA, WA.
Travel
We prioritize connection and opportunities to build relationships with our customers and each other. For this role, you may be required to travel occasionally to participate in project or team in-person meetings.
What We Offer
Working at Twilio offers many benefits, including competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location.
Compensation
*Please note the salary range information provided applies only to candidates residing in California, Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, New Jersey, New York, Vermont, Washington D.C., and Washington State due to local requirements. Compensation for candidates in other locations will be discussed during the hiring process. Please note that hiring for this role is not restricted to the locations listed above.
The estimated pay ranges for this role are as follows:
Based in Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, Vermont or Washington D.C. : $141,520.00-$176,900.00.
Based in New York, New Jersey, Washington State, or California (outside of the San Francisco Bay area): $149,840.00-$187,300.00.
Based in the San Francisco Bay area, California: $166,400.00-$208,000.00.
This role may be eligible to participate in Twilio’s equity plan and corporate bonus plan. All roles are generally eligible for the following benefits: health care insurance, 401(k) retirement account, paid sick time, paid personal time off, paid parental leave.
The successful candidate’s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location.
Applications for this role are intended to be accepted until 10/12/26 but may change based on business needs.
Twilio thinks big. Do you?
We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That's why we seek out colleagues who embody our values — something we call
Twilio Magic
. Additionally, we empower employees to build
positive change in their communities
by supporting their volunteering and donation efforts.
So, if you're ready to unleash your full potential, do your best work, and be the best version of yourself, apply now! If this role isn't what you're looking for,
please consider other open positions.
.
Stay alert to recruitment fraud
We care about your safety. Scammers sometimes impersonate Twilio recruiters through fake job postings, emails, websites, or messages. Please ensure you are engaging with an official @
twilio.com
email address. We will never ask for payment, gift cards, cryptocurrency, or banking information during the recruiting process. We do not make job offers without a formal interview process or conduct interviews exclusively through text-based messaging apps.
.
Twilio is proud to be an equal opportunity employer.
We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Additionally, Twilio participates in the E-Verify program in certain locations, as required by law.
Чем предстоит заниматься: Развитие каналов привлечения запускать и развивать каналы привлечения пользователей (Telegram, MAX и другие площадки); создавать и настраивать ботов и автоматизированные сценарии коммуникации;
Location: San Francisco; New York City
Workplace: Hybrid
Perplexity is AI for people who expect more. On the data team, that means building the systems that make our data reliable, understandable, and usable by both humans and AI.
We're looking for an analytics engineer or data engineer who wants to build the foundation for an AI-native data organization. You'll design core data models, pipelines, semantic layers, data quality systems, governance practices, and warehouse workflows that power the entire company: helping teams make strategic decisions, operate the business, and move faster with trusted data. You'll also make sure those systems are secure, privacy-aware, and legible to AI agents, data scientists, and the rest of the company.
This role is for someone who can operate at the boundary of analytics engineering, data engineering, data governance, and internal product. You care about dimensional modeling, dbt standards, cost-aware warehouse design, access controls, privacy, and the details that make data trustworthy. You also believe AI should make the data stack faster, easier to maintain, and more accessible across the company without weakening security or governance.
WHAT YOU'LL DO
- Build the core data foundation - design and maintain high-quality data models, marts, and pipelines that make analysis fast, reliable, and reusable.
- Manage the data warehouse - help own warehouse architecture, environments, permissions, performance, cost, data lifecycle, and operational hygiene so the platform scales cleanly.
- Make the warehouse AI-readable - own the documentation, semantic context, metadata, lineage, and retrieval patterns that AI systems depend on to understand and query Perplexity's data correctly.
- Own data modeling standards - define and champion dbt patterns, dimensional modeling practices, naming conventions, tests, and review processes.
- Lead data governance practices - define standards for access, ownership, lineage, documentation, retention, quality, and sensitive data handling across the analytical warehouse.
- Build with security and privacy in mind - partner with engineering, security, legal, and finance where needed to ensure data access, sharing, and AI-enabled workflows are appropriate and controlled.
- Automate data quality and maintenance - build AI-assisted workflows that detect issues, explain root causes, suggest fixes, generate tests, and reduce manual firefighting.
- Improve data team productivity - automate repetitive workflows, improve tooling, streamline development, and make it easier for data scientists and stakeholders to answer questions.
- Partner across the company - work closely with data scientists, engineering, product, finance, and GTM teams to translate analytical needs into durable data systems.
- Shape tooling decisions - evaluate build-versus-buy tradeoffs, manage vendor relationships when needed, and choose tools that scale with the team.
WHAT WE'RE LOOKING FOR
- 6+ years of experience as an analytics engineer, data engineer, data scientist, or closely related role.
- Deep SQL expertise - you can reason about correctness, performance, joins, grain, and edge cases in complex warehouse queries.
- Strong data modeling experience - you've worked hands-on with dbt (or a similar transformation framework) in production, and you understand dimensional modeling, data contracts, testing, and how analytical schemas should evolve.
- Pipeline ownership - you've built, maintained, debugged, and improved production data pipelines.
- Warehouse management experience - you've worked with warehouse administration, access patterns, permissions, performance tuning, cost management, or operational ownership.
- Governance mindset - you think clearly about data ownership, access controls, privacy, retention, lineage, auditability, and the risks of making data too easy to access.
- AI-native working style - you already use AI to speed up development, documentation, QA, exploration, and repetitive workflow automation.
- Stakeholder fluency - you know how to turn messy analytical requirements into trusted models, metrics, and reusable data assets.
- Autonomy and execution - you can take projects from ambiguous problem to production-quality system with minimal oversight.
- Operational judgment - you care about reliability, governance, security, cost, and long-term maintainability.
BONUS
- Snowflake administration, optimization, cost management, or warehouse performance tuning.
- Experience with RBAC, PII handling, data classification, retention policies, audit workflows, or privacy/security reviews.
- Experience with Databricks or other modern data infrastructure.
- Experience building semantic layers, metrics layers, metadata systems, or data catalogs.
- Python experience for data tooling, automation, orchestration, or quality checks.
- Previous experience as an early analytics engineer or data engineer at a high-growth startup.
WHY THIS ROLE
- Own the foundation - your work will determine how fast and confidently the company can use data.
- Build for humans and AI - the next generation of data infrastructure needs to be understandable by agents as well as analysts.
- High leverage - better models, pipelines, and tools multiply every data scientist and every stakeholder who depends on data.
- Small team, broad scope - you'll have room to define standards, choose tools, and ship systems that become company-wide defaults.
Location: Austin, in-person
Role Summary
As a
Lead Accountant
at inKind, you will play a critical role in strengthening the technical accounting, financial reporting, and accounting operations that support our continued growth.
This is a senior individual contributor role designed for an experienced accountant who combines a strong
public accounting / Big 4 foundation
with the ability to operate hands-on in a fast-paced, high-growth environment. You will serve as a technical accounting resource across the Finance organization, helping evaluate complex transactions, establish accounting treatment and policies, strengthen controls, and ensure our financial reporting remains accurate, scalable, and GAAP compliant.
You will work closely with the Controller and broader Finance team while partnering across Legal, Operations, Product, and other areas of the business. The ideal candidate can move comfortably between researching a complex accounting issue, preparing technical accounting documentation, reviewing financial statements, supporting an audit, and improving the underlying processes and systems that produce our financial information.
This is an opportunity to bring the rigor and technical foundation of public accounting into a growing fintech and hospitality technology business where you can have significant ownership and impact.
Who You Are
You have a strong foundation in
technical accounting and U.S. GAAP
, ideally developed within a Big 4 or other leading public accounting firm.
You enjoy solving complex accounting questions and can translate technical guidance into practical recommendations for the business.
You are comfortable operating as a senior individual contributor and taking ownership of complex accounting matters from research through implementation.
You combine technical rigor with commercial judgment and understand that accounting needs to support a rapidly evolving business.
You are highly analytical, process-oriented, and exceptionally detail-focused.
You are comfortable challenging existing processes and identifying opportunities to improve controls, reporting, systems, and automation.
You can communicate complex accounting concepts clearly to both Finance and non-Finance stakeholders.
You thrive in an environment where priorities evolve quickly and where you are expected to independently identify and solve problems.
Responsibilities / Essential Functions
Serve as a key
technical accounting resource
for the Finance organization, researching and evaluating complex accounting matters under U.S. GAAP.
Assess the accounting implications of
new products, contracts, partnerships, financing arrangements, investments, acquisitions, and other complex or non-routine transactions
.
Prepare clear, well-supported
technical accounting memoranda and position papers
, documenting conclusions and recommendations for management and external auditors.
Develop, maintain, and improve accounting policies and procedures as the organization and its products continue to scale.
Support the preparation and review of timely and accurate financial statements, including balance sheets, income statements, cash flow statements, and supporting schedules.
Lead and review complex areas of the
month-end, quarter-end, and year-end close
, ensuring balances and transactions are appropriately recorded, supported, and reconciled.
Review general ledger activity and account reconciliations, investigate unusual or complex transactions, and ensure appropriate accounting treatment.
Partner with the Controller on complex accounting areas including
revenue recognition, leases, equity and stock-based compensation, debt and financing arrangements, business combinations, consolidations, and other applicable accounting matters
.
Play a key role in external audits, including preparing supporting documentation, responding to technical accounting questions, coordinating audit requests, and resolving issues with external auditors.
Strengthen the company's financial reporting environment through improved
internal controls, documentation, reconciliation processes, and accounting procedures
.
Identify opportunities to improve and automate accounting workflows, reducing manual processes while increasing accuracy, consistency, and scalability.
Partner with FP&A and other Finance team members to ensure consistency between accounting results, management reporting, forecasting, and financial analysis.
Collaborate cross-functionally with Legal, Operations, Product, Technology, and other teams to understand new business initiatives and proactively identify their accounting implications.
Provide technical accounting guidance and mentorship to other members of the Accounting and Finance team.
Support tax filings, financial due diligence, financing activities, and other strategic Finance initiatives as required.
Help build the accounting infrastructure, policies, and controls necessary to support inKind as the business continues to grow in scale and complexity.
Required Skills / Qualifications
Bachelor’s degree in Accounting, Finance, or a related field.
CPA strongly preferred.
5+ years of progressive accounting experience
, including meaningful experience within a Big 4 or other nationally recognized public accounting firm.
Strong technical knowledge of
U.S. GAAP
and experience researching and documenting complex accounting matters.
Experience preparing or reviewing technical accounting memoranda and supporting accounting conclusions with authoritative guidance.
Strong understanding of financial statements, general ledger accounting, reconciliations, month-end close, and financial reporting.
Experience supporting complex financial statement audits and working directly with external auditors.
Demonstrated ability to evaluate complex or unusual transactions and determine appropriate accounting treatment.
Strong analytical and problem-solving skills with exceptional attention to detail.
Excellent written and verbal communication skills, particularly the ability to explain complex accounting concepts clearly.
Ability to operate independently, manage multiple priorities, and take ownership of work in a fast-paced environment.
Preferred Skills / Qualifications
Big 4 audit or accounting advisory experience strongly preferred.
CPA with experience serving technology, fintech, financial services, marketplace, or other high-growth clients.
Experience transitioning from public accounting into a high-growth private company environment.
Experience with technical accounting topics such as
ASC 606, ASC 842, ASC 718, ASC 805, debt and equity instruments, consolidations, and complex financing transactions
.
Experience with
NetSuite
or another enterprise ERP system.
Experience working with accounting systems, data integrations, SQL, financial reporting tools, or accounting automation.
Experience supporting companies through periods of rapid growth, financing transactions, M&A, or increasing audit and reporting complexity.
Experience designing or improving internal controls and accounting processes within a scaling organization.
Work Environment
The candidate in this position will be primarily located in an office environment and exposed to lighting, temperature, and noise-level conditions typical of that environment.
This position is based in
Austin, Texas
, with an expectation of regular in-person collaboration from our downtown Austin office.
inKind is committed to providing reasonable accommodations in employment opportunities for individuals with disabilities. To request disability accommodation, please contact the inKind People Team at careers@inkind.com.
Some of Our Benefits
Generous PTO and company holiday policy + company-paid Short-Term Disability
100% employer-covered health and dental insurance for our direct employees (a set plan is covered, with higher-tier healthcare coverage available at the employee’s additional cost; dependent coverage is at the employee’s cost); vision plan available at the employee’s additional cost
Child Care Benefits and generous parental leave
Dog-friendly workspace in a secure building with great views of downtown Austin
Daily lunches and snacks
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: 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.
ОфисSan Francisco
ОфисLos Angeles, CA
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