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Location: Foster City, CA Workplace: Hybrid Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, Replit is democratizing software development by removing traditional barriers to application creation. ABOUT THE ROLE We're looking for a Security Engineer with deep incident response experience to help defend Replit, a fast-moving, cloud-native AI vibe-coding platform. You'll be the person who takes charge when something goes wrong. You'll lead investigations from first signal to root cause, coordinate containment across Security, SRE, and Engineering, and keep stakeholders informed while the incident is moving fast. This isn't a pure responder role. We want a well-rounded security engineer who has run real incidents and wants to make the next one faster. You'll write the scripts, automations, and tooling that take manual work out of triage, evidence collection, and containment. You'll also turn lessons from each incident into better detections, playbooks, and platform hardening.   RESPONSIBILITIES Incident Response - Serve as incident commander or technical lead for security incidents, from detection and triage through containment, eradication, recovery, and post-incident review. - Coordinate response across Security, SRE, Engineering, Legal, and leadership. Drive decisions under pressure and keep a clear record of actions taken. - Communicate incident status, impact, and risk clearly to technical and executive audiences. - Participate in and help shape the security on-call rotation. Investigation & Forensics - Investigate suspicious activity across cloud infrastructure, containers, identity systems, and application layers using SIEM, Cloud Logging, telemetry, and host and container artifacts. - Determine scope, root cause, attacker behavior, and blast radius for confirmed incidents. - Quickly assess whether emerging threats (0-days, active exploitation campaigns, bug bounty findings, customer reports) apply to Replit, and whether we're already affected. IR Automation & Tooling - Build scripts, automations, and tools (Python, Go, Bash, or directly on Replit) that speed up response, such as automated enrichment, evidence collection, credential and session revocation, workload isolation, and alert triage. - Develop and maintain response playbooks and runbooks, and automate them where possible. - Integrate response workflows with SIEM, SOAR, ticketing, and chat tooling to cut time-to-contain. Detection & Continuous Improvement - Turn incident findings into new or improved detections, logging coverage, and visibility. - Lead blameless post-incident reviews and drive remediation items to completion. - Run tabletop exercises and simulations to test readiness and find gaps.   REQUIRED SKILLS & EXPERIENCE - Proven experience leading or serving as technical lead on security incidents in a cloud or SaaS environment. - Strong hands-on investigation skills with SIEM, cloud audit logs, and log-based analysis. Comfortable working through large datasets under time pressure. - Proficiency writing production-quality scripts or tools in Python, Go, or Bash for investigation and automation. - Solid knowledge of cloud architecture and security, especially Google Cloud Platform (IAM, audit logging, GKE, networking). - Working knowledge of Kubernetes and containers, including how to investigate and contain compromised workloads. - Understanding of identity systems, SaaS architectures, and common cloud attack paths (credential theft, privilege escalation, supply chain, token abuse). - Familiarity with software engineering fundamentals, CI/CD pipelines, and package ecosystems, so you can work effectively with Engineering on code-level fixes. - Understanding of IR frameworks and lifecycle (for example NIST 800-61), plus the vulnerability lifecycle and exploitability analysis.   PREFERRED QUALIFICATIONS - Experience building or operating SOAR or other response automation platforms. - Digital forensics experience with cloud, Linux hosts, or containers. - Experience with threat intelligence, threat hunting, or security research. - Experience with bug bounty programs or coordinated vulnerability disclosure. - Familiarity with detection-as-code practices and writing detection rules. - Experience in fast-paced, cloud-native, or AI/ML-driven environments. - Relevant certifications (such as GCIH, GCFA, GCFR), or equivalent hands-on experience. WHAT WE VALUE - Curiosity & initiative: Strong desire to understand attacker behaviors, emerging threats, and how they apply to real-world systems. - Speed & analytical rigor: Ability to quickly assess high-risk vulnerabilities with clear, evidence-based reasoning. - Collaboration: Comfort working across cross-functional teams spanning Security, SRE, Engineering, and Infrastructure. - Clear communication: Ability to explain findings, risks, and mitigation strategies to stakeholders at all levels. - Ownership mindset: Takes initiative to drive investigations, improvements, and remediations to completion. - Continuous learning: Passion for staying up to date on new vulnerabilities, exploit trends, and cloud-native security best practices. Full-Time Employee Benefits Include: 💰 Competitive Salary & Equity 💹 401(k) Program with a 4% match (US Only) ⚕️ Health, Dental, Vision and Life Insurance 🩼 Short Term and Long Term Disability 🚼 Paid Parental, Medical, Caregiver Leave 🏝 Flexible Time Off (FTO) + Holidays 🚗 Commuter Benefits (In-Office & US Only) 📱 Monthly Wellness Stipend 🧑‍💻 Autonomous Work Environment 🖥 In Office Set-Up Reimbursement (In-Office Only) 🚀 Quarterly Team Gatherings ☕ In Office Amenities (In-Office Only) Want to learn more about what we are up to? - Self-driving Company https://replit.com/blog/self-driving-company - Replit Agent at Scale https://replit.com/blog/evaluating-and-improving-agent-at-scale - AI Adoption https://replit.com/blog/ai-adoption - Build Open-Source Apps https://replit.com/build/open-source-app-builder   Interviewing + Culture at Replit - Operating Principles https://blog.replit.com/operating-principles - Reasons not to work at Replit https://blog.replit.com/reasons-not-to-join-replit To achieve our mission of making programming more accessible around the world, we need our team to be representative of the world. We welcome your unique perspective and experiences in shaping this product. We encourage people from all kinds of backgrounds to apply, including and especially candidates from underrepresented and non-traditional backgrounds.

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 .

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: Torrance, United States As a Senior Thermal Engineer, you will own the thermal engineering methodology across our missile systems. You will define thermal architectures, develop high-fidelity thermal models, and use first-principles analysis, simulation, and hardware testing to ensure our vehicles perform reliably in some of the most demanding thermal environments imaginable. You'll work across aerodynamics, structures, electrical, propulsion, systems, manufacturing, and test engineering to develop integrated thermal solutions from concept through flight. Your work will span transient mission analysis, electronic unit thermal management, specialized ground testing, and flight-test instrumentation and data analysis. This role is ideal for an engineer who enjoys moving fluidly between analytical models, real hardware, and flight data—and who wants to directly influence vehicle architecture and design decisions from day one. RESPONSIBILITIES Thermal design and analysis of unmanned air vehicles at conceptual, preliminary, and detailed design maturities Define thermal system architectures and material selection strategies for vehicles operating in demanding flight environments Thermal analysis of flight vehicles using standard thermal analysis codes and engineering/hand methods Transient thermal analysis for time-varying mission profiles Ground test planning, execution, and analysis in specialized thermal test facilities Flight test planning, execution, and post-flight thermal data analysis Use first principles and MATLAB/Python models to inform design decisions Collaborate with aerodynamics, structures, electrical, and systems engineers on integrated solutions Present thermal status at formal reviews internally and with customers Prepare formal documentation (specifications, test procedures, technical reports) BASIC QUALIFICATIONS BS or higher degree in Aerospace Engineering, Mechanical Engineering, or Applied Physics In-depth understanding of heat transfer, fluid dynamics, and high-temperature environments 5+ years of experience in aerospace thermal engineering on rocket, spacecraft, aircraft, or missile programs Experience with electronic unit thermal analysis and control to component junctions Ground testing experience with thermal instrumentation and data acquisition Strong programming skills in MATLAB, Python, or similar for tool development Experience preparing formal documentation CAD experience with SolidWorks or Siemens NX Ability to obtain and hold a U.S. security clearance PREFERRED SKILLS AND EXPERIENCE MS or higher degree in Aerospace Engineering, Mechanical Engineering, or Applied Physics with focus on heat transfer and fluid dynamics Experience with material ablation response modeling in extreme thermal environments Knowledge of material degradation and surface phenomena under demanding conditions Experience with specialized thermal ground test facilities Flight test experience including instrumentation design and post-flight analysis Experience with Thermal Desktop/SINDA Experience with manufacturing and assembly of thermal systems Active U.S. security clearance

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 Partner Manager to join our growing security team. Reporting directly to our VP of Sales, this role will focus on building Spin.ai's partner network - initially focusing on the Google Workspace partner ecosystem, then growing into security-specific partnerships. You will help sell Spin.ai's recently acquired industry leader in Google Workspace Security, DoControl, as well as Spin.ai's growing Browser Security solution, combining the two into a powerful, best-of-breed security offering. With the foundation already built - working with leading GWS partners such as SADA, Pythian, and Wursta - we're looking for someone who can take over the running motion and, most importantly, push it to the next level with their knowledge and expertise. What You'll Do: Partner Sourcing Identify net-new Google Workspace and security resellers to work with, and book intro meetings to communicate joint value Attend local and global events to grow and maintain relationships, representing Spin.ai as a leading Google Workspace DLP and Browser Security solution Work with the VP of Sales and Account Executives to schedule initial account-mapping sessions and start driving joint pipeline Complete and sign relevant reseller agreements, and negotiate and confirm margins Partner Deal Sourcing Work with the partner sales team and Spin.ai 's sales team to build joint pipeline - this includes writing emails for partner reps to send to their customers, following up on those threads, and creating slides for their recurring customer calls Enable the partner sales team to effectively position and sell Spin.ai security solutions through weekly 1:1 account mappings and the materials listed above Stay involved as needed from deal sourcing through closed-won to ensure strong engagement from both sides and a successful outcome for all parties Partner Relationship Management Partnerships are a relationship game - maintain key relationships across all major partners to keep Spin.ai top of mind and seen as a trusted partner This includes weekly 1:1s with key reps, traveling for lunches, dinners, and events, and staying in regular, informal contact (text) Market Expertise Maintain deep knowledge of the Google Workspace DLP and Browser Security space Understand Spin.ai's differentiators and know every competitor inside and out Fluently pitch the combined DLP + Browser Security solution, with the ability to sell each individually or jointly as needed Ask the right discovery questions to effectively communicate joint value in partner intro meetings What You Bring: Google Workspace Partner Experience: 3+ years of experience successfully working and selling within the Google Workspace partner ecosystem (SADA, 66degrees, Pythian, etc.) Domain Knowledge: Strong understanding of DLP and Browser Security Security Partner Experience: Google Workspace is the primary focus, but you also have the drive and ability to grow into building security-specific partnerships (Optiv, etc.) 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: Torrance, United States As a Flight Software Engineer, you will play a key role in designing, developing, and testing flight software that powers these advanced systems. You'll work closely with multidisciplinary teams to deliver high-performance, real-time embedded software that operates reliably under extreme conditions. This is a hands-on role for an engineer who thrives on solving hard problems, building robust systems from the ground up, and moving fast without compromising quality. RESPONSIBILITIES Design, develop, and test real-time embedded flight software for missile systems Collaborate with GNC engineers, systems engineers, and hardware teams to ensure seamless integration Implement and maintain software for high-reliability, safety-critical environments Support simulation, hardware-in-the-loop (HIL), and flight testing to validate performance Participate in root cause analysis and debugging across software and system interfaces Follow rigorous software lifecycle practices, including configuration management and verification Contribute to defining and improving development processes, tools, and standards Stay informed on emerging technologies and best practices relevant to flight software and real-time systems BASIC QUALIFICATIONS Bachelors or Master's degree in Computer Science, Electrical Engineering, Aerospace Engineering, or related field Experience: Open to candidates across all experience levels, from early-career engineers to senior technical contributors. Professional experience, internships, research, open-source contributions, or other hands-on technical work will be considered. Proficiency in C/C++ and experience with real-time operating systems (RTOS) Familiarity with hardware/software integration and real-time system constraints Experience working with GNC systems or similar control-intensive applications Strong understanding of testing practices including simulation and HIL environments Excellent problem-solving skills and attention to detail Ability to work effectively in a fast-paced, multidisciplinary team environment Active or eligible for a Top-Secret security clearance PREFERRED SKILSS AND EXPERIENCE Experience developing flight software for missile, launch vehicle, or spacecraft systems Exposure to FPGA-based systems and embedded software optimization techniques Knowledge of secure software development and cybersecurity best practices Familiarity with agile or iterative development methodologies Hands-on experience with software verification, validation, and integration in defense environments

Location: 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: Torrance, United States As an Embedded Software Engineer you will be at the forefront of creating, developing, and testing the software that drives and simulates our flight systems. Your role involves close collaboration with fellow Client's engineers across software and hardware domains to implement and debug software across the entire technology stack from applications and operating systems to networking, firmware, and simulation, ensuring complete mission success. We seek intelligent, collaborative, an driven engineers of all levels who are passionate about problem-solving and eager to contribute to an extraordinary mission. If you thrive in challenging environments and are excited by the prospect of making a tangible impact, we want to hear from you. RESPONSIBILITIES Autonomous Systems: Design and implement reliable autonomous software systems, along with the simulations required to validate their precision and dependability. Comprehensive Software Development: Manage the entire software development process, from initial design, prototyping, and testing, to final integration and deployment for mission-critical applications. System Testing: Evaluate test outcomes and troubleshoot issues necessitating detailed investigations, including hands-on integration and debugging of hardware/software systems. Develop tools to facilitate testing across various environments: virtualized hardware, real hardware-in-the-loop, and vehicle-in-the-loop testing. COLLABORATION Partner with multidisciplinary engineering teams to brainstorm, design, and develop next-generation hypersonic missile capabilities, including advanced guidance algorithms and integrated seeker image processing. Project Leadership: Lead major projects that propel Client's mission forward, ensuring alignment with overall objectives and occasionally traveling to launch and customer sites for testing and operations. Enhance Standards and Practices: Continuously improve software standards and best practices within the software team, fostering an environment of ongoing improvement and innovation. BASIC QUALIFICATIONS Educational Background: Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, Mathematics, or a related STEM field, or equivalent practical experience. Experience: Open to candidates across all experience levels, from early-career engineers to senior technical contributors. Professional experience, internships, research, open-source contributions, or other hands-on technical work will be considered. Technical Proficiency: Experience with systems programming in languages such as C++, Python, or Rust, and familiarity with Linux-based development environments. Experience may include work with low-level systems such as Linux kernel development, hardware interfaces, or driver development (e.g., UART, I2C, or similar peripherals). PREFERRED SKILLS AND EXPERIENCE Programming Expertise : Proven proficiency in C++, Rust, or similar systems programming languages. System Experience: Practical experience with real-time embedded systems or distributed computing environments in Linux-based systems, including developing high-quality Linux-based C++ software for common processors and microcontrollers (e.g., PowerPC, x86, ARM). TECHNICAL SKILLS Proficiency in Linux, including Bash shell scripting, network troubleshooting, and performance analysis (strace, ftrace, etc.), with strong skills in debugging, performance optimization, and unit testing. System Knowledge: Comprehensive understanding of computer architecture and networking protocols (TCP, UDP, etc.). Problem-Solving: Innovative problem-solving approach using first-principles thinking, including developing prototypes to validate key design concepts and quantify technical constraints.

Location: 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: Torrance, United States 📍 Location: Torrance, CA 📄 Employment Type: Full-Time 🏢 Work Arrangement: 100% On-site, Monday–Friday 🚀 Start Date: TBD 💰 Compensation: TBD — based on skills and experience Important Screening Requirements Bachelor’s degree in Computer Science, Computer Engineering, Electrical Engineering, Mathematics, or a related STEM field , or equivalent practical experience. Open to candidates across experience levels, including early-career engineers and senior technical contributors . Experience with systems programming using C++, Python, Rust, or similar languages . Familiarity with Linux-based development . Experience with low-level systems, hardware interfaces, or embedded software. Must be able to work on-site in Torrance, CA . U.S. work authorization and export-control eligibility requirements may apply. Security clearance or other U.S. Government authorization may be required depending on the position. Embedded Software Engineer- JD About the Role We are seeking Embedded Software Engineers to develop, test, and integrate software that drives and simulates advanced flight systems. The role spans multiple layers of the technology stack, including applications, operating systems, networking, firmware, and simulation . Engineers will work closely with hardware and software teams to build and debug mission-critical systems. Embedded Software Engineer- JD What We’re Looking For We’re looking for engineers at all experience levels who enjoy working close to the hardware , solving difficult systems problems, and building reliable software for complex flight systems. Embedded Software Engineer- JD Key Responsibilities Design and implement reliable autonomous software systems. Develop simulations used to validate software precision and system dependability. Participate throughout the software development lifecycle, from design and prototyping through testing, integration, and deployment . Evaluate test results and troubleshoot complex hardware/software issues. Perform hands-on integration and debugging across software and hardware systems. Develop tools supporting virtualized hardware, hardware-in-the-loop, and vehicle-in-the-loop testing . Collaborate with multidisciplinary engineering teams on advanced flight-system capabilities. Contribute to guidance algorithms and integrated seeker image-processing efforts. Lead major software projects when appropriate. Support testing and operations at launch or customer sites when required. Improve software standards, development practices, and engineering processes. Embedded Software Engineer- JD Required Qualifications Bachelor’s degree in Computer Science, Computer Engineering, Electrical Engineering, Mathematics, or related STEM field, or equivalent practical experience. Experience with systems programming in C++, Python, Rust, or similar languages . Familiarity with Linux-based development. Understanding of low-level systems programming and hardware interfaces. Experience with interfaces such as UART and I2C is valuable. Strong problem-solving and debugging skills. Ability to work effectively in a multidisciplinary engineering environment. Embedded Software Engineer- JD Preferred Qualifications Strong C++ or Rust experience. Real-time embedded or distributed computing experience. Experience with Linux systems. Experience working with PowerPC, x86, ARM, or similar architectures . Bash, networking, and performance-analysis tools. Experience with debugging, performance optimization, and unit testing. Knowledge of TCP/UDP networking . Experience building prototypes from first principles. Embedded Software Engineer- JD

Location: Remote, United Kingdom GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. What this role is about You'll manage a team of Assigned Support Engineers who provide relationship-based technical support to GitLab's biggest enterprise customers. ASEs work proactively with customers to find root causes and prevent repeat issues, which is different from working a ticket queue. They also turn their actions and activity into outcomes and deliverables that show customers the ROI they get from GitLab. You'll build a team that works independently, owns issues from start to finish, and knows when to ask for help. When a customer relationship is in trouble, you'll work alongside the account teams to bring it back to health. You'll also help improve the ASE program in ways that matter to customers and to the company. What you'll do Hire, coach, and develop ASEs. Hold regular 1:1s, give direct feedback, deal with performance issues early, and build a team where people feel safe raising problems. Pay attention to engagement and retention, and coach the team on GitLab's values and operating principles. Train ASEs to run technical interviews so the hiring pipeline doesn't depend on you. Set clear goals and expectations, track progress across onboarding, relationships, escalations, and KPIs, and connect the team's work to company priorities. Help ASEs prioritize across accounts when everything feels urgent. Lead escalations from start to finish. Work with Engineering, Product, Sales, and Customer Success to get the right people moving, and keep the customer informed and confident in the plan. Work alongside the account teams to bring at-risk customers back to health, including renewal and expansion risk driven by support concerns. Build the recovery plan, drive the technical side, and report on progress until the customer is stable. Help ASEs translate their actions and activity into outcomes, deliverables, and ROI, and present that to customers and executives in clear decks that cover what happened, what you're doing about it, and what comes next. Work with the ASE leadership team on initiatives that improve the program and customer outcomes, and see yours through to results. Partner with Sales, Customer Success, CSMs, Product, and Engineering to push for what customers need, and contribute utilization and onboarding data to capacity and headcount planning with Finance and sales leadership. Document how the team works and find ways to make it more efficient through tools, process changes, and automation. Use AI well in your own work and coach ASEs to do the same. What you'll bring 5+ years in technical support, with at least 2 years managing customer-facing technical teams. Experience with high-touch or assigned support for enterprise customers. Professional services delivery counts. Experience across Self-Managed, GitLab Dedicated, and GitLab.com is a plus. A strong record of handling escalations with both internal teams and customers. You stay calm, keep people aligned, and know when to bring in leadership. The ability to turn a complicated or nuanced situation into a clear written story and tie activity to outcomes with numbers. A customer-centric approach balanced with good judgment about what the service, the team, and the company can deliver, and experience working with account teams to bring struggling customers back to health. A record of getting work done across teams through influence and strong working relationships. You can work with Sales, CS, and account teams to set clear expectations for the ASE service and find the right path for each customer. Willingness to be available outside standard hours, including weekends, for the occasional critical escalation or customer-impacting incident. Comfort with ambiguity and change. You keep a team steady while priorities, processes, and the program evolve, and you explain the reasons for changes so people stay engaged. A strong technical foundation to guide engineers in complex, production-critical environments, including Linux system administration and web application development concepts. Familiarity with Git, DevOps practices, or GitLab is helpful. A history of developing engineers at different skill levels through real feedback, mentoring, and clear expectations. Process skills that make a team more efficient without adding bureaucracy, and comfort leading a remote, globally distributed team using metrics and customer feedback. About the team The ASE team is spread across AMER, EMEA, and APAC and works mostly async, with regular pairing sessions, 1:1s, and Slack. We support GitLab's largest and most strategic customers, who run GitLab in production-critical environments. We dig into code and logs, work across departments, and focus on root cause, trends, preventing repeat issues, and providing the technical acumen that helps customers get the most value out of GitLab for their business. How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process .

Location: 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 | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic is seeking a member to join Financial Reporting team within Accounting. In this role, you will own some of the most important pieces of our external reporting: the consolidated statement of cash flows, subsidiary and other compliance-related reporting, and the peer benchmarking that keeps our disclosures clear and comparable. This is a hands-on individual contributor role for someone who wants to shape how a financial reporting function works, not just run it. Our team builds with Claude every day, and you will help design the workflows and automation that make our reporting faster, more accurate, and more scalable. You will partner closely with Technical Accounting, Controllership, Tax, Legal, FP&A, Corporate Development, and our external auditors. If you enjoy owning complex reporting end to end, have strong judgment on disclosure, and are excited to reinvent how financial reporting gets done with AI, we would love to hear from you. Key responsibilities Own the consolidated statement of cash flows end to end, including preparation, supporting schedules, classification analysis, non-cash disclosures, and review with our external auditors Lead subsidiary and other compliance-related reporting, such as entity-level and special-purpose financial statements, lender and covenant reporting, and other regulatory or contractual reporting requirements Lead the adoption of new accounting standards: impact assessment, data and system changes, disclosure drafting, controls, and review with our external auditors Lead stock-based compensation reporting, including the expense and award-activity roll-forwards Contribute to the preparation and review of periodic SEC filings (Forms 10-Q and 10-K) and related disclosures Contribute to peer disclosure benchmarking, including frequent and proactive review of peer disclosures and assessment of Anthropic's disclosures in comparison to peers Partner with valuation specialists, Technical Accounting, Tax, and Corporate Development on purchase accounting and post-close reporting for acquired entities Identify opportunities to leverage Claude and automation tools to improve reporting processes, with a hands-on willingness to test and adopt new technologies as they emerge Build and maintain Claude-powered reporting workflows (e.g., roll-forwards, tie-outs, disclosure drafting, benchmarking) and document them so the broader team can use and extend them Design and maintain the process documentation and controls that support your areas, and serve as a primary point of contact for auditors on them Minimum qualifications Hands-on ownership of a statement of cash flows, including preparation, classification under ASC 230, and support for audit review Experience with subsidiary, statutory, or other compliance-related reporting (e.g., entity-level financial statements, lender or covenant reporting, regulatory filings) Experience using Claude or similar AI tools to build new financial reporting workflows or automation Strong working knowledge of US GAAP and SEC reporting requirements, including Regulation S-X and S-K Clear, concise written and verbal communication, including the ability to explain complex accounting topics to non-accounting partners Sound judgment and comfort owning ambiguous work, setting priorities, and meeting filing deadlines with minimal oversight Passion for Anthropic's mission to build safe, transformative AI systems Preferred qualifications 12+ years of experience in financial reporting, SEC reporting, or public accounting, including time at a public company or one preparing to go public Have built or run a peer disclosure benchmarking program, including use of EDGAR full-text search or XBRL data Have built reusable Claude or similar AI skills, agents, or processes Experience with international statutory reporting or consolidation of special-purpose entities CPA or equivalent certification The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $230,000 — $300,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: New York Office Job Title: Channel Partner Manager, Americas Location: United States, Remote The Business Development & Partnerships team plays an important role in our go-to-market strategy by building and scaling the ecosystem that surrounds Chainalysis, from technology alliances to system integrators and resellers. The team is responsible for identifying and developing inorganic growth opportunities, unlocking new routes to market, and fostering a diverse partner ecosystem that amplifies our reach while making it easier for customers to buy and deploy Chainalysis. The Channel Partnerships Manager, Americas will own the day-to-day management of channel partners across the region, with a focus on activating, enabling, and growing a defined set of channel partners. This role is focused on regional execution and will be responsible for helping partners and internal field teams work together more effectively to drive pipeline, revenue, and market coverage in the Americas. In this role, you’ll: - Build strong working relationships with key partners in-region, including SI’s, consulting firms, resellers, distributors, and MSPs, and serve as the primary point of contact for partner engagement within the geo. - Drive partner enablement so partners can effectively position Chainalysis, qualify opportunities, navigate sales plays, and work within our channel processes and requirements. - Develop and execute joint plans with priority partners in AMER to increase partner-sourced pipeline, improve partner engagement, and expand partner contribution to regional growth. - Work closely with regional sales leaders, AEs, RevOps, Marketing, and Partnerships to align partners to the right accounts, opportunities, and go-to-market motions in-region. - Identify high-potential regional partners to prioritize, grow existing partner performance, and help recruit new partners where there is clear market opportunity or coverage need. - Support internal field enablement in AMER so sellers understand when and how to engage partners, the relevant program guidelines, and how to work effectively with indirect routes to market. - Run a consistent operating cadence with top partners, including business reviews, pipeline check-ins, account mapping, and escalation management where needed. - Track partner activity and outcomes in partnership with RevOps and sales, including partner-sourced pipeline, training progress, and overall partner performance in the region. - Coordinate closely with the broader Partnerships team to ensure regional execution is aligned to the overall program while remaining focused on in-market partner activation and revenue growth. We’re looking for candidates who have: - Proven experience managing channel, reseller, MSP, VAR, and SI relationships at a B2B technology or services company. - Demonstrated ability to enable partners effectively, including training on value proposition, sales plays, qualification, and how to work opportunities with internal sales teams. - Experience driving measurable business outcomes through partners, including partner-sourced pipeline - Strong cross-functional collaboration skills, with experience working closely with sales, marketing, RevOps, and other internal stakeholders to execute partner plans. - Strong commercial judgment and execution skills, including the ability to prioritize partners, manage competing opportunities, and navigate ambiguity in a fast-moving environment. - Experience working in the US or in a multi-country region with different market dynamics, sales motions, and partner maturity levels. - Strong communication and stakeholder management skills, with the ability to build credibility internally and externally. - Knowledge of the crypto and blockchain ecosystem and how it ties into the financial services industry, and the ability to ramp quickly on Chainalysis products, use cases, and customer needs in order to enable partners effectively. - Background in crypto, financial services, fintech, and/or compliance software. Nice to have experience: - Experience at a consulting/services firm advising clients on digital asset initiatives - Experience with PRM tools, deal registration processes, account mapping, and partner performance tracking. - Experience building channels in an environment where direct sales and indirect routes to market must coexist and be carefully governed. - Comfort working across time zones and in a highly matrixed global organization. AI at Chainalysis AI is not a feature at Chainalysis - it is a new way of working. One that turns instructions into work done, and helps us move faster than the threats we're built to counter, and we expect our employees to take ownership of the output and ensure quality. As the world's most trusted blockchain analytics platform, Chainalysis sits at a rare intersection of proprietary data, regulatory relationships and crypto expertise that makes it uniquely placed to shape and lead the next era of AI-driven intelligence - and we expect everyone here, regardless of role, to be an active part of it. AI fluency is tied directly to how we measure performance and how we plan to win. There is no substitute for your own curiosity. We provide the tools, workflows, and space to experiment - but the expectation is that you develop these capabilities yourself, bring ideas, and collaborate across teams to reinvent the way work gets done. We are not using AI to do less. We are using it to do what was never possible before. About Chainalysis Chainalysis is the blockchain data platform, making it easy to connect the movement of digital assets to real-world services. Powered by deep blockchain data and AI, organizations can investigate illicit activity, manage risk exposure, and develop innovative market solutions built on the industry's most trusted blockchain intelligence. Our mission is to build trust in blockchains, blending safety and security with an unwavering commitment to growth and innovation. You belong here.  At Chainalysis, we believe that diversity of experience and thought makes us stronger. With both customers and employees around the world, we are committed to ensuring our team reflects the unique communities around us. We’re ensuring we keep learning by committing to continually revisit and reevaluate our diversity culture. We encourage applicants across any race, ethnicity, gender/gender expression, age, spirituality, ability, experience and more. If you need any accommodations to make our interview process more accessible to you due to a disability, don't hesitate to let us know. You can learn more here https://go.chainalysis.com/rs/503-FAP-074/images/Interview%20Accommodations%20Request.pdf. We can’t wait to meet you.

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.