Infrastructure Software Engineer, Energy Storage 

The Infrastructure Engineer is responsible for designing, building, and maintaining the foundational platform infrastructure that enables our engineering team to develop and deploy Battery Energy Storage Systems reliably and at scale. This role serves as a force-multiplier across the organization, owning edge fleet management, server provisioning, and deployment automation while ensuring systems are secure, scalable, and performant. The position partners closely with cross-functional engineering teams to translate early deployment learnings into platform improvements and drive resolution of scalability, reliability, and security challenges. Success in this role requires deep technical expertise, a collaborative mindset, and the ability to thrive in an ambiguous, fast-paced, early-stage environment. 

Responsibilities will include: 

• Design and own the rollout of edge Kubernetes fleet management, automated server provisioning, and software update pipelines to support scalable and reliable system deployment. 
• Evaluate server hardware and operating systems to help define the architecture of the organization's next-generation energy storage platform. 
• Identify and resolve hard infrastructure problems, including scalability bottlenecks, reliability gaps, performance issues, and security vulnerabilities. 
• Build and maintain tooling and services used to validate software systems at scale, including performance and reliability testing frameworks. 
• Serve as a technical resource for the broader engineering team through pair programming, in-office working sessions, and hands-on project leadership. 
• Translate learnings from early deployments and customer pilots into concrete, measurable improvements to platform infrastructure. 
• Reinforce a team culture grounded in engineering excellence, curiosity, inclusivity, and a willingness to take action and learn from mistakes. 

Desired Qualifications: 

• 5+ years of relevant industry experience in infrastructure, platform, or site reliability engineering. 
• Strong grasp of system design principles and real-world experience building available, reliable, scalable, and secure distributed systems. 
• Experience designing, implementing, and maintaining secure network systems and infrastructure. 
• Genuine interest in server hardware fundamentals and how software and hardware interact at the platform level. 
• Ability to work comfortably with ambiguity, prototype solutions iteratively, and learn rapidly from early-stage work. 
• Strong written and verbal communication skills, with the ability to explain complex systems clearly to both technical and non-technical audiences. 
• Ability to manage multiple workstreams, shifting priorities, and competing deadlines in a fast-paced, early-stage environment. 

THE ROLE

As an Applied Research Engineer at Snorkel AI, you will own the infrastructure that powers our model training and evaluation work. This is a hands-on role where you will build and operate GPU cluster infrastructure, training pipelines, and the tooling that allows our research and engineering teams to run experiments reliably and at scale. You will work closely with research scientists and engineers, translating training requirements into robust, reproducible systems—and proactively removing infrastructure blockers before they slow down the work that matters most.

Snorkel AI operates in a fast-paced, high-impact environment. We are looking for someone who takes pride in operational excellence, loves solving complex distributed systems problems, and thrives when given real ownership.

Location: Redwood City or San Francisco — OR REMOTE

MAIN RESPONSIBILITIES

• Set up and manage GPU cluster infrastructure on major cloud providers (e.g., AWS HyperPod) for distributed model training, including networking, provisioning, and cost tracking.
• Build and operate job orchestration and scheduling systems (e.g., Kubernetes, Slurm, or cloud-native equivalents) to reliably launch and manage training, rollout, and evaluation jobs across multi-node clusters.
• Integrate and maintain ML training frameworks and post-training pipelines, ensuring they run stably and reproducibly at scale.
• Set up and maintain experiment tracking, dataset versioning, and model artifact management to support fast iteration.
• Monitor and optimize cluster health, inter-node communication, and resource utilization; implement fault tolerance and auto-recovery so long-running jobs survive node failures.
• Work closely with research scientists and ML engineers to understand requirements, unblock experiments, and evolve infrastructure as our training workloads needs change.

PREFERRED QUALIFICATIONS

• Hands-on experience managing GPU clusters on major cloud providers, including provisioning, network configuration, and cost management.
• Experience with distributed compute orchestration tools such as Kubernetes, Slurm, or equivalent cluster management systems.
• Working knowledge of distributed training concepts: parallelism strategies, memory optimization techniques, and inter-node communication.
• Experience with setting up, managing, and integrating ML experiment tracking and data/model versioning tools..
• Strong Python proficiency and solid software engineering fundamentals such as version control, modular design, and automation.
• Ability to work in a fast-moving, iterative environment and take end-to-end ownership of ambiguous infrastructure problems.
• Hands-on experience with post-training workflows such as supervised fine-tuning (SFT) or reinforcement learning (RLHF, GRPO, or similar) is a strong plus, but not required.

This role is a great fit for engineers who love building reliable systems close to the frontier of AI research. We welcome applicants from a wide range of backgrounds—whether your experience comes from industry, research labs, or direct hands-on work with distributed infrastructure at scale.

BE YOUR BEST AT SNORKEL

Joining Snorkel AI means becoming part of a company that has market proven solutions, robust funding, and is scaling rapidly—offering a unique combination of stability and the excitement of high growth. As a member of our team, you’ll have meaningful opportunities to shape priorities and initiatives, influence key strategic decisions, and directly impact our ongoing success. Whether you’re looking to deepen your technical expertise, explore leadership opportunities, or learn new skills across multiple functions, you’re fully supported in building your career in an environment designed for growth, learning, and shared success.

Snorkel AI is proud to be an Equal Employment Opportunity employer and is committed to building a team that represents a variety of backgrounds, perspectives, and skills. Snorkel AI embraces diversity and provides equal employment opportunities to all employees and applicants for employment. Snorkel AI prohibits discrimination and harassment of any type on the basis of race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local law. All employment is decided on the basis of qualifications, performance, merit, and business need.

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

About the role

We are seeking a Senior Security Engineer to build and lead our Offensive Security program. In this role, you will attack Chime’s services, applications, and infrastructure to discover security issues and report them to our internal technology teams. This position will offer you the opportunity to grow your technical and leadership skills while being part of a collaborative and dynamic team that finds joy in problem-solving and innovating together at Chime.

The ideal candidate will be an offensive cybersecurity professional with a passion for analyzing codebases, testing hypotheses, and designing tools to impact web applications and their infrastructure. This Engineer will work closely with teams throughout Information Security, as well as provide technical leadership and advice to teams and leaders throughout Chime. You will be in direct contact with teams in a variety of business verticals, giving you first hand knowledge about how Chime is built and how it operates at a deep, technical level. Additionally, you will leverage the knowledge you gain about Chime to find new ways to break services, processes, and infrastructure throughout the company.

We're a small, dedicated team that’s always thinking of innovative ways to tackle challenging security problems. We take on ambitious projects that have a significant impact on our members and help build a strong security culture within our company. The team encourages discussing the problems we are solving, the methods we use, and celebrating our accomplishments through public blogs and at conferences. If these resonate with the way you work, we'd love to hear from you.

The base salary offered for this role and level of experience will begin at $181,000 and up to $250,000. Full-time employees are also eligible for a bonus, competitive equity package, and benefits. The actual base salary offered may be higher, depending on your location, skills, qualifications, and experience.

In this role, you can expect to

• Independently manage complete red team exercises.
• Partner with Engineering, Product, IT, and other business functions to drive security improvement across the organization
• Research emerging attack vectors, vulnerabilities and techniques
• Utilize your offensive skills to identify weaknesses and build defenses against those who may point their attacks at Chime
• Develop custom payloads and exploits
• Emulate adversaries like cybercriminals and insider threats by attacking web applications, cloud platforms and supporting services(Kubernetes / Container Orchestration platforms etc.) 
• Collaborate closely with detection engineers to build high fidelity alerting based on emerging attack vectors and tactics, techniques and procedures
• Participate in purple-team exercises to mature the security program

To thrive in this role, you have

• 4+ years of combined experience in either an offensive security, red teaming, or application security role.
• Experience in conducting surreptitious cloud based attacks
• Experience with developing custom tools and payloads which bypass defensive products, and remain undetected in a mature network environment
• Ability to perform unsupervised red team engagements and experience with performing  adversarial simulation
• Ability to explain vulnerabilities and weaknesses to non-technical stakeholders
• (Nice to have) Relevant certifications: OSCP (Offensive Security Certified Professional), OSCE (Offensive Security Certified Expert) and OSEE (Offensive Security Exploitation Expert), Certified Red Team Operator (CRTO), GIAC Red Team Professional certification (GRTP)

#LI-Hybrid #LI-JC1

About the role

As a Customer Support Engineer at a pioneering AI company, you'll be the first line of defense to support customers as they build out training, fine tuning, and inference solutions with Together AI. You'll dive deep into complex technical challenges, providing swift and effective solutions while serving as a product expert. As a part of the Customer Experience organization, you will collaborate closely with product and sales, driving continuous improvement of our offerings. This is an exciting opportunity for a deeply technical professional passionate about AI and customer success to make a significant impact in a fast-paced, innovative environment.

Responsibilities

• Engage directly with customers to tackle and resolve complex technical challenges involving our cutting-edge Kubernetes GPU clusters; ensure swift and effective solutions every time.
• Become a product expert in our GPU Cluster service, serving as the last line of technical defense before issues are escalated to Engineering and Product teams.
• Collaborate seamlessly across Engineering, Research, and Product teams to address customer concerns; collaborate with senior leaders both internally and externally to ensure the highest levels of customer satisfaction.
• Transform customer insights into action by identifying patterns in support cases and working with Engineering and Go-To-Market teams to drive Together’s roadmap (e.g., future models to support)
• Maintain detailed documentation of system configurations, procedures, troubleshooting guides, and FAQs to facilitate knowledge sharing with team and customers.
• Be flexible in providing support coverage during holidays, nights and weekends as required by business needs to ensure consistent and reliable service for our customers.

Requirements

• 3+ years of experience in a customer-facing technical role with at least 1 year in a support function in AI or supporting a mission-critical API in SaaS
• Strong technical background, with knowledge of AI, ML, GPU technologies and their integration into high-performance computing (HPC) environments.
• Familiarity with infrastructure services (e.g., Kubernetes, SLURM), infrastructure as code solutions (e.g., Ansible) high-performance network fabrics, NFS-based storage management, container infrastructure, and scripting and programming languages.
• Foundational understanding in the installation, configuration, administration, troubleshooting, and securing of compute clusters.
• Complex technical problem solving and troubleshooting, with a proactive approach to issue resolution
• Ability to work cross-functionally with teams such as Sales, Engineering, Support, Product and Research to drive customer success.
• Strong sense of ownership and willingness to learn new skills to ensure both team and customer success.
• Excellent communication and interpersonal skills, with the ability to explain complex technical concepts to non-technical stakeholders.
• Ability to operate in dynamic environments, adept at managing multiple projects, and comfortable with frequent context switching and prioritization.

About Together AI

Together AI is a research-driven artificial intelligence company. We believe open and transparent AI systems will drive innovation and create the best outcomes for society, and together we are on a mission to significantly lower the cost of modern AI systems by co-designing software, hardware, algorithms, and models. We have contributed to leading open-source research, models, and datasets to advance the frontier of AI, and our team has been behind technological advancement such as FlashAttention, Hyena, FlexGen, and RedPajama. We invite you to join a passionate group of researchers in our journey in building the next generation AI infrastructure. 

Compensation

We offer competitive compensation, startup equity, health insurance, and other benefits, as well as flexibility in terms of remote work. The US base salary range for this full-time position is: $160,000-230,000K + equity + benefits. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge.

Equal Opportunity

Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more.

Please see our Privacy Policy at https://www.together.ai/privacy

About the Role

We’re hiring a Support Leader to own and scale Together AI’s customer support function across two distinct, technically demanding domains: API Support (billing, serverless inference, and dedicated inference) and GPU Support (large-scale GPU infrastructure for model training workloads). You’ll work closely with Together AI’s VP of Customer Experience and partner tightly with SRE, Inference Platform, and Engineering to represent customers internally and drive resolution at speed. This is a player-coach role: you’ll be hands-on in escalations. 

Our support operation runs 24/7. Our GPU infrastructure customers hold us to high-stakes SLAs on training workloads. Our API customer base spans thousands of PLG and enterprise accounts relying on our serverless and dedicated inference endpoints. Both domains need a leader who can keep pace technically and build the operational muscle to scale.

Responsibilities

Team Leadership and Mentorship

• Directly manage and develop a team of support engineers and technical account specialists across API Support and GPU Support functions.
• Establish clear performance expectations, career growth paths, and a coaching culture leveraged to identify skill gaps and build training programs to close them.
• Run structured 1:1s, team reviews, and escalation retrospectives.

Operationalization and Scaling

• Assess and overhaul support workflows, SLA frameworks, and escalation playbooks
• Build triage, prioritization, and handoff protocols that allow the team to scale with customer growth without proportional headcount growth.
• Define and own support KPIs: SLA attainment, time-to-resolution, escalation rate, CSAT

GPU Infrastructure Support (Hands-On)

• Jump into complex, active GPU infrastructure issues alongside your team. Investigate NCCL and InfiniBand failures, SSH connection stalls, Kubelet TLS misconfigurations, GPU/RDMA provisioning timeouts, NFS RDMA mount failures, VAST storage failures, network fabric degradation, etc.
• Manage high-stakes SLA obligations with GPU cloud customers running multi-thousand-GPU training workloads
• Coordinate closely with SRE and infrastructure engineering on hardware-level issues and cluster bringup.

 API and Inference Support (Hands-On)

• Own the support surface for Together AI’s API platform: serverless inference, dedicated inference endpoints (self-serve and managed), billing, rate limits, model upload (BYOM), and API authentication.
• Represent the team on complex cases: dedicated endpoint startup failures, safetensors validation errors, NFS/storage performance issues on inference clusters, billing disputes and negative-balance enforcement, and rate limit escalations.
• Work with the Inference Platform, Commerce, and Product teams to surface patterns and drive fixes upstream.

Escalation and Cross-Functional Partnership

• Be the escalation point for your team’s highest-severity customer issues — triage fast, communicate clearly to customers and internal stakeholders, and drive to resolution.
• Partner with SRE, Engineering, and Sales on shared priorities. Represent the support team’s perspective in cross-functional planning.
• Own the relationship with support tooling vendors and drive improvements to alerting, SLA tracking, and ticket routing.

Customer Feedback Loop

• Systematically analyze ticket patterns and surface product and infrastructure gaps to Engineering and Product. Turn support signal into actionable roadmap input.
• Build documentation and self-service resources that reduce inbound volume over time.

Requirements

• 10+ years of support engineering or technical support leadership experience, with at least 3 years managing a team.
• Demonstrated experience leading infrastructure support or cloud operations. You understand how large-scale workloads behave on distributed systems. 
• Working knowledge of AI infrastructure. You know how APIs work, can reason about latency and throughput issues, and understand the operational surface of a managed inference platform.
• Technical depth to be a credible player-coach. Ability to guide engineers through root cause analysis, and bring credibility to customer-facing escalations.
• Experience running SLA-driven support operations with real accountability. Familiarity with Pylon or equivalent support ticketing platforms (Zendesk, etc.) and PagerDuty-style alerting systems.
• Strong communication skills, especially under pressure. You can write a clear, concise customer-facing update in the middle of a live incident and distill a complex infrastructure issue into a crisp internal escalation.
• Startup mindset. You’re comfortable building process where none exists, and you thrive in environments where priorities shift fast.

About Together AI

Together AI is a research-driven artificial intelligence company. We believe open and transparent AI systems will drive innovation and create the best outcomes for society, and together we are on a mission to significantly lower the cost of modern AI systems by co-designing software, hardware, algorithms, and models. We have contributed to leading open-source research, models, and datasets to advance the frontier of AI, and our team has been behind technological advancement such as FlashAttention, Hyena, FlexGen, and RedPajama. We invite you to join a passionate group of researchers in our journey in building the next generation AI infrastructure. 

Compensation

We offer competitive compensation, startup equity, health insurance, and other benefits, as well as flexibility in terms of remote work. The US base salary range for this full-time position is: $290,000 - $310,000K + equity + benefits. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge. 

Equal Opportunity

Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more. Please see our Privacy Policy at https://www.together.ai/privacy

About the role

As a Forward Deployed Engineer (FDE) focused on large scale GPU clusters, you will be a hands-on technical partner to our strategic customers – the world’s leading AI model builders. You will partner with our SAs as a deep-domain specialist in large-scale infrastructure, storage, high-performance networking, and cluster orchestration. As key contributors to the CX, Engineering, and Sales organizations, FDEs add tremendous value by ensuring we can meet the requirements of our most complex POCs, facilitate successful platform adoption for our strategic customers, and guide tailored optimization efforts - directly impacting company growth and the hardening of our core platform.

Responsibilities

• Cluster Hardening & Validation: Design and execute rigorous pre-handover test suites (NCCL, DCGM, GPU Burn) to ensure clusters are stable under the extreme stress of multi-node training.
• Technical Partnership: Act as the primary technical point of contact for model labs, helping them tune their orchestration layer (Kubernetes or SLURM) for maximum throughput.
• Infrastructure Optimization: Profile and debug low-level bottlenecks in InfiniBand (IB) fabrics, NVLink topologies, and high-performance storage systems.
• Opinionated Onboarding: Build reference designs and "out-of-the-box" configurations for training frameworks to reduce customer time-to-train.
• Benchmarking & Migration: Lead complex benchmarking exercises to demonstrate the performance impact of migrating to new hardware families or Together AI’s optimized infrastructure.
• Product Feedback Loop: Directly influence our hardware and software roadmap by surfacing edge cases and performance gaps found during customer deployments.

Requirements

• Experience: 5+ years in a technical role, with a strong focus on Large-Scale GPU Infrastructure.
• Orchestration Mastery: Deep, hands-on experience with Kubernetes (specifically GPU-operator and device plugins) and/or SLURM for workload scheduling.
• Networking & Interconnects: Expert knowledge of InfiniBand, RoCE, and NVLink; ability to diagnose network failures that degrade collective communication (NCCL).
• Storage Knowledge: Familiarity with parallel file systems (VAST or Weka preferred) and object storage, specifically in the context of large-scale checkpointing.
• Benchmarking Skills: Ability to run and interpret training benchmarks and communication tests to validate cluster health and performance.
• Coding & Automation: Proficiency in Python and shell scripting; experience with Ansible or similar tools for automated cluster configuration.
• Willingness to dive into the customer's stack to solve hard problems and comfortable with the high-stakes, fast-paced environment of frontier model labs.

About Together AI

Together AI is a research-driven artificial intelligence company. We believe open and transparent AI systems will drive innovation and create the best outcomes for society, and together we are on a mission to significantly lower the cost of modern AI systems by co-designing software, hardware, algorithms, and models. We have contributed to leading open-source research, models, and datasets to advance the frontier of AI, and our team has been behind technological advancements such as FlashAttention, Hyena, FlexGen, and RedPajama. We invite you to join a passionate group of researchers on our journey in building the next generation of AI infrastructure. 

Compensation

We offer competitive compensation, startup equity, health insurance, and other benefits, as well as flexibility in terms of remote work. The US base salary range for this full-time position is: $270,000 - $300,000 OTE + equity + benefits. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge. 

Equal Opportunity

Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more.

Please see our Privacy Policy at https://www.together.ai/privacy

About the Role

As a Senior Network Engineer at Together, you are responsible for designing, implementing, and maintaining our network infrastructure to ensure seamless connectivity and optimal performance for all user-facing services and production systems. As both a strategic planner and a hands-on engineer, you apply sound networking principles, operational discipline, and advanced automation to our network environments.

You specialize in networking systems—including routing, switching, network security, and protocols—implementing best practices for availability, reliability, and scalability. You have a keen interest in network design, optimization, and emerging technologies in HPC-based data center networking.

Outstanding problem-solving abilities and a comprehensive understanding of fundamental network theory are also critical to your success.

Requirements

• 8+ years of professional experience building, managing, and supporting large-scale hybrid data center networks (excluding enterprise networks).
• High level of proficiency with TCP/IP networking architecture and technologies such as BGP, OSPF, VXLAN, EVPN, and QoS.
• Experience developing network automation pipelines using Python, Ansible, or other languages/tools utilized in infrastructure automation.
• Proficient in using tools such as Wireshark, tcpdump, nmap, MTR, and curl to identify connectivity issues, latency problems, and network bottlenecks.
• Experience designing and supporting multi-tenant networks
• Hands-on experience deploying and supporting network devices from Cisco, Arista, Juniper, and Mellanox.
• Experience working with cloud networks such as AWS, GCP, and Azure.
• Solid experience working in and troubleshooting within a Linux environment.

Responsibilities

• Design, deploy, manage and maintain global multi-vendor, multi-protocol high performance compute networks.
• Analyze data to diagnose and identify root causes to network issues to minimize downtime
• Evaluate and recommend network technologies, hardware, and software solutions.

• Participate in design reviews to ensure the proposed network architecture aligns with business needs and is optimized for performance, scalability, and reliability. 
• Manage relationships with external vendors and partners to test and verify hardware and software selections.

• Develop, and deploy systems and tools to keep all networks running reliably and efficiently
• Establish and implement industry best practices and contribute to the design of new scalable network solutions
• Ensure compliance with IT governance standards and best practices.
• Lead projects to address complex technical challenges, directly contributing to roadmaps and partner alongside the best engineers in the industry to develop world-class solutions

Preferred

• Knowledge of RoCE and Infiniband protocols a plus
• Experience with Docker, Kubernetes, or Slurm a plus 
• Understanding of AI training workloads and the demands they exert on networks a plus

About Together AI

Together AI is a research-driven artificial intelligence company. We believe open and transparent AI systems will drive innovation and create the best outcomes for society, and together we are on a mission to significantly lower the cost of modern AI systems by co-designing software, hardware, algorithms, and models. We have contributed to leading open-source research, models, and datasets to advance the frontier of AI, and our team has been behind technological advancement such as FlashAttention, Hyena, FlexGen, and RedPajama. We invite you to join a passionate group of researchers and engineers in our journey in building the next generation AI infrastructure.

Compensation

We offer competitive compensation, startup equity, health insurance and other competitive benefits. The US base salary range for this full-time position is: $190,000 - $250,000 + equity + benefits. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge.

Equal Opportunity

Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more.

Please see our privacy policy at https://www.together.ai/privacy  

About the Role

Together AI is building the AI Acceleration Cloud, an end-to-end platform for the full generative AI lifecycle, combining the fastest LLM inference engine with state-of-the-art AI cloud infrastructure.

As a Senior AI Infrastructure Engineer, you will play a key role in building the next generation AI cloud platform – a highly available, global, blazing-fast cloud infrastructure that virtualizes cutting-edge ML hardware (GB200s/GB300s, BlueField DPUs) and enables state-of-the-art ML practitioners with self-serve AI cloud services, such as on-demand + managed Kubernetes and Slurm clusters. This platform serves both our internal SaaS products (inference, fine-tuning) and our external cloud customers, spanning dozens of data centers across the world.

Responsibilities

• Design, build, and maintain performant, secure, and highly-available backend services/operators that run in our data centers and automate hardware management, such as Infiniband partitioning, in-DC parallel storage provisioning, and VM provisioning.
• Design and build out the IaaS software layer for a new GB200 data center with thousands of GPUs.
• Work on a global multi-exabyte high-performance object store, serving massive datasets for pretraining.
• Build advanced observability stacks for our customers with automated node lifecycle management for fault-tolerant distributed pretraining.
• Perform architecture and research work for decentralized AI workloads
• Work on the core, open-source Together AI platform
• Create services, tools, and developer documentation
• Create testing frameworks for robustness and fault-tolerance

To be successful, you’ll need to be deeply technical and possess excellent communication, collaboration, and diplomacy skills. You have strong fundamental software development skills. In addition, you have strong systems knowledge and troubleshooting abilities. 

Requirements

• 5+ years of professional software development experience and proficiency in at least one backend programming language (Golang desired)
• 5+ years experience writing high-performance, well-tested, production quality code
• Demonstrated experience with building and operating high-performance and/or globally distributed micro-service architectures across one or more cloud providers (AWS, Azure, GCP)
• Excellent communication skills – able to write clear design docs and work effectively with both technical and non-technical team members
• Deep experience with Kubernetes internals a big plus, such as implementing non-trivial Kubernetes operators, device/storage/network plugins, custom schedulers, or patches thereon or Kubernetes itself
• Deep experience with VMs/hypervisors a big plus, such as QEMU/KVM, cloud-hypervisor, VFIO, virtio, PCIE passthrough, Kubevirt, SR-IOV
• Deep experience with DC networking tech + solutions a big plus, such as VLAN, VXLAN, VPN, VPC, OVS/OVN
• Experience with Cluster API or similar a big plus
• Experience working on high-performance compute, networking, and/or storage a big plus
• Experience virtualizing GPUs and/or Infiniband a big plus
• Strong systems knowledge across compute, networking, and storage, including concurrency, memory management, performant I/O, and scale
• Experience with infrastructure automation tools (Terraform, Ansible), monitoring/observability stacks (Prometheus, Grafana), and CI/CD pipelines (GitHub Actions, ArgoCD)
• Experience building IaaS or PaaS systems at scale a plus
• Experience with DPUs/SmartNICs a plus
• GPU programming, NCCL, CUDA knowledge a plus 

About Together AI

Together AI is a research-driven artificial intelligence company. We believe open and transparent AI systems will drive innovation and create the best outcomes for society, and together we are on a mission to significantly lower the cost of modern AI systems by co-designing software, hardware, algorithms, and models. We have contributed to leading open-source research, models, and datasets to advance the frontier of AI, and our team has been behind technological advancement such as FlashAttention, Hyena, FlexGen, and RedPajama. We invite you to join a passionate group of researchers in our journey in building the next generation AI infrastructure.

Compensation

We offer competitive compensation, startup equity, health insurance, and other benefits, as well as flexibility in terms of remote work. The US base salary range for this full-time position is: $160,000 - $230,000 + equity + benefits. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge.

Equal Opportunity

Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more.

Please see our privacy policy at https://www.together.ai/privacy  

About the Role

As a Senior Infrastructure Technical Program Manager (TPM) at Together AI, you will be at the core of building, optimizing, and scaling the global GPU resources needed for a pioneering AI infrastructure company. Your role is crucial in ensuring that the backbone of our AI models, thousands of GPUs distributed around the world, operates efficiently and reliably, enabling cutting-edge AI advancements that democratize access to AI technology globally.  You will drive cross-functional excellence by streamlining critical workflows and enhancing communication across internal and external teams. Join top engineers, researchers, and innovators to shape the future of AI infrastructure and power the next generation of AI-driven solutions.

Responsibilities

• Product Development: Design and build products for AI researchers, developers, and enterprise customers, translating technical requirements into product features and collaborating with research, engineering, and design teams. Develop and execute strategic plans for the Observability, Storage, Network Engineering, and Security infrastructure teams.
• End-to-End Product Ownership: Own a comprehensive product roadmap, detailing key features, enhancements, and releases. Drive end-to-end product development, manage development and testing, and lead launches.
• Stakeholder Engagement: Engage with stakeholders to understand their needs, pain points, and feedback. Drive initiatives to enhance customer satisfaction and loyalty through product improvements and innovative solutions.
• Cross-Functional Execution: Lead and align diverse cross-functional teams — including Research, Engineering, DevOps, SRE, and Go-to-Market — to ensure seamless project delivery and organizational success.

Requirements

• ML Product or Infrastructure Experience: 5+ years of experience building and scaling AI/ML-powered products and infrastructure, specifically collaborating with research and engineering teams.
• Proven experience with large-scale technology deployments, including cloud computing platforms, decentralized cloud infrastructure, and distributed systems (e.g., containerization and orchestration tools).
• Familiarity with the technical domains of Observability, Storage, Network Engineering, and Security for infrastructure.Experience with cloud computing platforms, decentralized cloud infrastructure, and/or similar large-scale technology deployments.
• Familiarity with cloud-based technologies (e.g., AWS, Google Cloud, or Azure)
• Technical Foundation: Bachelor's or Master's degree in Machine Learning, Computer Science, Engineering, or a related field.  
• Exceptional analytical and problem-solving skills, with a demonstrated ability to identify and proactively mitigate technical risks
• Experience using AI tools, such as ClaudeCode or similar, to accelerate analytical progress.
• Executive and Organizational Acumen
• Proven ability to thrive in a fast-paced, ambiguous startup environment, prioritizing complex tasks and managing multiple simultaneous projects.
• Strong organizational abilities to build cross-functional alignment and establish clear, focused priorities.
• A proactive and collaborative team-oriented approach, demonstrating a willingness to drive necessary outcomes across the company.
• Excellent communication and program management skills for effective collaboration with both internal stakeholders and external vendors.

About Together AI

Together AI is a research-driven artificial intelligence company. We believe open and transparent AI systems will drive innovation and create the best outcomes for society, and together we are on a mission to significantly lower the cost of modern AI systems by co-designing software, hardware, algorithms, and models. We have contributed to leading open-source research, models, and datasets to advance the frontier of AI, and our team has been behind technological advancement such as FlashAttention, Hyena, FlexGen, and RedPajama. We invite you to join a passionate group of researchers in our journey in building the next generation AI infrastructure.

Compensation

We offer competitive compensation, startup equity, health insurance and other competitive benefits. The US base salary range for this full-time position is: $225k to 265k + equity + benefits. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge. This is a hybrid role based in the Bay Area.

Equal Opportunity

Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more.

Please see our privacy policy at https://www.together.ai/privacy

What We're Looking For

Lightning AI is seeking a Senior Storage Infrastructure Engineer to join our Infrastructure Engineering team.

In this role, you will focus on building and operating the storage systems that power large-scale AI/ML training, inference, and HPC workloads. You will work at the intersection of software, hardware, and operations—developing automation, improving reliability, and scaling distributed storage systems across our bare-metal infrastructure.

You will help own the data plane of our storage infrastructure, supporting high-throughput, low-latency data access for some of the most demanding AI workloads. You’ll play a key role in managing and evolving our storage stack (including VAST and S3-compatible systems like Ceph), ensuring performance, reliability, and efficiency at scale.

We’re flexible on location for this team. This role can work hybrid out of one of our US-based hubs (Seattle, NYC, or SF) or fully remote within the U.S., with occasional company and team offsites. We are not able to provide visa sponsorship for this position at this time.

What You'll Do

Storage Systems & Infrastructure

• Operate and scale distributed storage systems, including VAST and S3-compatible object storage (e.g., Ceph)
• Improve performance, reliability, and efficiency of storage systems supporting large-scale AI/ML workloads
• Troubleshoot complex storage and data path issues across hardware and software layers
• Optimize storage performance to support high-throughput, low-latency AI training and inference workloads

Automation & Tooling

• Build and maintain automation for provisioning, managing, and monitoring storage infrastructure
• Develop Python-based tools and workflows to reduce manual operational overhead
• Improve lifecycle management of storage clusters, from deployment through maintenance and scaling

Systems & Operations

• Manage and operate Linux-based systems in production, including bare-metal environments
• Partner with infrastructure and data center teams on hardware bring-up, upgrades, and issue resolution
• Support capacity planning, utilization tracking, and forecasting for storage systems
• Leverage monitoring and telemetry to diagnose issues and improve system performance and reliability

Cross-Functional Collaboration

• Work closely with Infrastructure Engineering, Network Engineering, and Platform teams to integrate storage into the broader platform
• Contribute to design discussions around new infrastructure deployments and scaling strategies
• Help define best practices for operating storage systems in high-performance computing environments

What You'll Need

Required Qualifications

• 5+ years of experience in infrastructure engineering, systems engineering, or related roles
• Hands-on experience operating distributed storage systems (e.g., VAST, Ceph, or similar)
• Strong Linux systems experience in production environments
• Proficiency in Python or similar scripting/programming languages for automation
• Experience working with bare-metal infrastructure and hardware-oriented systems
• Ability to debug complex issues across system boundaries (storage, OS, hardware, networking)
• Experience with storage networking protocols (e.g., NFS or similar)
• Experience with capacity planning, monitoring, and performance tuning

Ideal Experience

• Experience with VAST storage systems in production environments
• Experience operating S3-compatible object storage at scale
• Data center operations experience, including working with physical hardware
• Familiarity with AI/ML or HPC workloads and their storage requirements
• Background in high-performance or low-latency distributed systems
• Familiarity with high-performance data transfer technologies (e.g., RDMA, GPU Direct Storage)
• Experience supporting GPU-based workloads or large-scale compute clusters

Compensation

About the Role:

Planet is developing the next generation of small satellite buses, featuring high-resolution optical imaging payloads, a space-based data center connected by optical inter-satellite links (OISLs), and high-speed RF/Microwave communication links. We continuously iterate on and develop small spacecraft communication systems—including board-level hardware, antennas, and ground station equipment—to achieve record data rates and link performance. Our system utilizes proprietary and industry-standard modems, transceivers across several bands, optical laser communication systems, and a worldwide network of ground stations.

We are seeking an experienced Satcom Modem Engineer to develop and mature our next-generation onboard satcom links, ground radios, and antenna systems, pushing the frontiers of satellite communications. You will architect, design, simulate, implement, and validate cutting-edge software-defined Satcom radios. Responsibilities include characterizing the SDR link performance of Planet’s next-generation S through Ka-band and optical terminals, selecting vendors, and managing subcontractors for Satcom solutions. You will facilitate and conduct rigorous testing on space and ground communication subsystems to ensure flight readiness. Success requires close collaboration with RF, EE, Flight SW, systems engineering, missions, and manufacturing teams.

The ideal candidate thrives in an agile, fast-paced environment and is comfortable with ambiguity.

This is a full-time, hybrid role which will require you to work from our San Francisco office 3 days per week.

Impact You'll Own:

• Develop GnuRadio-based ground modem solutions.
• Architect, design, and verify space segment software-defined radios and modems.
• Lead on-orbit performance validation for end-to-end satellite communications systems.
• Lead RF/MW/Optical Communications system integration and testing.

What You Bring:

• Strong experience with DSP algorithms, digital communication theory, and implementation (including digital modulation, synchronization, error correction, floating-point, and fixed-point design).
• Experience with Software Defined Radios (SDR), specifically GNU Radio and Linux development tools.
• Experience defining and measuring radio performance metrics in real time (e.g., SNR, BER, PER, and constellation visualization).
• Experience with state-of-the-art RF System-on-Chip (SoC) implementations.
• BS in Electrical/Computer Science or equivalent experience with a focus on digital communicatons.

What Makes You Stand Out: 

• MS or Ph.D. in Electrical Engineering with a focus on digital communications.
• Expertise in Matlab and Simulink for modem design.
• Experience with SDR platforms and associated signal processing libraries (e.g., GNURadio).
• Proficiency in Linux, Python, and data analysis tools.
• Experience with optical communications and links for space applications.
• Expertise in Radar and/or Phased Array technology.

Application Deadline:

August 1, 2026 at 11:59pm PST

EAR/ITAR Requirements:

This position requires access to export-controlled information, and as such, employment (or hiring of a contractor) is contingent upon the candidate’s ability to access all applicable export-controlled information without additional export licensing being required by the Bureau of Industry and Security and/or the Directorate of Defense Trade Controls.

Benefits While Working at Planet:

These offerings are dependent on employment type and geographical location, based upon applicable law or company policy.

• Comprehensive Medical, Dental, and Vision plans
• Health Savings Account (HSA) with a company contribution
• Generous Paid Time Off in addition to holidays and company-wide days off 
• 16 Weeks of Paid Parental Leave
• Wellness Program and Employee Assistance Program (EAP)
• Home Office Reimbursement
• Monthly Phone and Internet Reimbursement
• Tuition Reimbursement and access to LinkedIn Learning
• Equity
• Commuter Benefits (if local to an office)
• Volunteering Paid Time Off

Compensation:

The US base salary range for this full-time position at the commencement of employment is listed below.  Additionally, this role might be eligible for discretionary short-term and long-term incentives (bonus and equity). The final salary range is determined by job related experience, skills and location.  The range displays our typical hiring range for new hire salaries in US locations only.  Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

#TeamNextdoor

Nextdoor (NYSE: NXDR) is the essential neighborhood network. Neighbors, public agencies, and businesses use Nextdoor to connect around local information that matters in more than 350,000 neighborhoods across 11 countries. Nextdoor builds innovative technology to foster local community, share important news, and create neighborhood connections at scale. Download the app and join the neighborhood at nextdoor.com.

Meet Your Future Neighbors

At Nextdoor, machine learning is one of the most important teams we are growing. Machine learning is starting to transform our product through personalization, driving major impact across different parts of our platform including newsfeed, notifications, ads relevance, connections, search, and trust. Our machine learning team is lean but hungry to drive even more impact and make Nextdoor the neighborhood hub for local exchange. We believe that ML will be an integral part of making Nextdoor valuable to our members. We also believe that ML should be ethical and encourage healthy habits and interaction, not addictive behavior. We are looking for great engineers who believe in the power of the local community to empower our members to make their communities great places to live. 

At Nextdoor, we offer a warm and inclusive work environment that embraces a hybrid and remote employment experience, providing a flexible experience for our valued employees. The hiring team will go over these expectations with you if you are being considered for a role near one of our offices in San Francisco, Los Angeles, Chicago, Dallas, New York, and London.

The Impact You’ll Make

• You will be part of a scrappy and impactful team building data-intensive products, working with data and features, building machine learning models, and sharing insights around data and experiments. You will be working closely with the product team and the Data Science team on a daily basis. Finally, you will help build the foundational patterns that ML engineers will use for years to come as we ramp up our effort to introduce machine learning into our platform
• Collect and gather datasets to build machine learning (ML) models that make real-time decisions for the Nextdoor platform
• Analyze datasets and use important features to build low-latency models for decisions that need to be made quickly
• Deploy ML models into production environments and integrate them into the product
• Run and analyze live user-facing experiments to iterate on model quality by measuring the impact on business metrics
• Collaborate with other engineers and data scientists to create optimal experiences on the platform
• Participate in in-person Nextdoor events such as trainings, off-sites, volunteer days, and team-building exercises
• Build in-person relationships with team members and contribute to Nextdoor’s company culture

What You’ll Bring To The Team

• 4+ years of industry experience in applying machine learning at scale 
• Experience with recommendation systems, deep learning models, feed/notification relevance, knowledge graphs, Ads, or NLP at scale is required
• Experience building ML models for consumer-facing products
• Proven engineering skills, with experience in writing and maintaining high-quality production code
• Ability to work with and analyze large amounts of data
• Ability to succeed in a dynamic startup environment
• Eagerness to explore and apply AI and emerging technologies to reimagine how work gets done
• B.S. in Computer Science, Applied Math, Statistics, Computational Biology or a related field

Rewards

Compensation, benefits, perks, and recognition programs at Nextdoor come together to create one overall rewards package.

The starting salary for this role is expected to range from $170,000 to $334,000 on an annualized basis, or potentially greater in the event that your 'level' of proficiency exceeds the level expected for the role. The salary range will be determined by the candidate’s geographic location.

We also expect to award a meaningful equity grant for this role. With quarterly vesting, your first vest date would be within the first 3 months of your start date.

Overall, total compensation will vary depending on your relevant skills, experience, and qualifications.

We have you covered! Nextdoor employees can choose between a variety of great health plans. We cover 100% of your personal monthly premium for health, dental, and vision – and provide a OneMedical membership for concierge care.

At Nextdoor, we empower our employees to build stronger local communities. To create a platform where all feel welcome, we want our workforce to reflect the diversity of the neighbors we serve. We encourage everyone interested in our mission to apply. We do not discriminate on the basis of race, gender, religion, sexual orientation, age, or any other trait that unfairly targets a group of people. In accordance with the San Francisco Fair Chance Ordinance, we always consider qualified applicants with arrest and conviction records.

For information about our collection and use of applicants’ personal information, please see Nextdoor's Personnel Privacy Notice, found here.

#LI-Hybrid #LI-Remote

About the Role:

We’re looking for an experienced Staff Software Engineer to help architect and build the systems that power Redpanda’s vision for the Agentic Data Plane (ADP), while also shaping the technical culture behind them.

In this role, you will design and develop our ADP product, building on our Bring Your Own Cloud, Serverless, and Redpanda Connect offerings. You will lead system architecture, develop new features, and operate ADP and Redpanda Cloud, helping us meet our 99.99% SLA. You will raise the engineering bar across the Cloud team and collaborate closely with Cloud, Core, and Platform engineering, as well as pre- and post-sales teams, to build robust, scalable systems with a strong emphasis on stability and zero-downtime upgrades.

This is a hybrid role based in our San Francisco office.

You Will: 

• Design, build and operate ADP and cloud services across AWS, GCP, and Azure, including control plane and data plane components
• Convert ambiguous product requirements into clear technical designs and executable workstreams
• Lead the technical direction of large projects within ADP, and contribute to architecture discussions that span ADP and adjacent Cloud teams
• Anticipate technical risks and proactively mitigate them to ensure timely, high quality delivery
• Set and uphold high standards for reliability, scalability, performance, and security
• Identify and champion new features, process improvements, and strategic initiatives that enhance engineering culture and operational excellence
• Participate in the on-call escalation chain; helping reduce escalations and improve operational health
• Build tools and services for automated infrastructure provisioning, deployment, and self-healing
• Make resilience and observability integral to the systems you own, enabling us to run enterprise-grade agentic systems and service in the cloud

You Have:

• Significant experience designing and operating  large-scale, reliable systems in public cloud environments
• A track record of leading large technical projects end-to-end, from design and planning, to execution and production operations
• Strong proficiency in Go (or comparable systems language with willingness to ramp)
• Experience with AI-assisted software development workflows including tools like Claude Code
• Production experience with Kubernetes, including running and operating workloads 
• Working knowledge of at least one of AWS / Azure / GCP, including IaC for system and network infrastructure
• Familiarity with stream processing concepts
• Excellent written and verbal communication skills; comfortable working in a globally distributed, async environment (e.g., GitHub)
• Ability to collaborate effectively with engineering, product, and customer-facing stakeholders 

Nice to Have:

• Experience building Kubernetes operators for stateful / storage workloads
• Experience building or operating SaaS platforms
• Experience with streaming platforms as a user or provider
• Exposure to production agentic systems and building agentic workflows

U.S. base salary range for this role is $220,000 - $260,000.Our salary ranges are determined by role, level, and location. We strive to consider each candidate's job-related skills, location, experience, relevant education or training to determine individual base salary. Your talent partner will share more about the specific salary range for your preferred location during the hiring process.

The Role: 

The Forge IT Operations team is responsible for designing, building, and maintaining the corporate infrastructure that delivers reliable, secure operation of our corporate IT ecosystem and SaaS services.  

In this role, you will be responsible for the hands-on configuration and administration of the network and endpoint infrastructure to ensure that Forge employees can efficiently and securely perform their day-to-day duties. The IT Network and MDM Engineer will design, implement, maintain, and support our growing network and endpoints. You will be part of the IT Operations team responsible for designing and developing scalable, maintainable, available infrastructure architectures that meet our business objectives.  

You will work closely across the IT Operation team to continuously improve and automate our ability to perform and adjust to new challenges.  

You love working with a skilled, energetic, and motivated team and are passionate about providing high-quality operational support while continuously improving quality, automating, and honing your skills. You are motivated, goal-oriented, persistent, and a skilled negotiator. You will strive to implement a strategy of service management and operational best practices relevant to Forge’s corporate infrastructure with a strategic view to meet the current needs while considering future direction.  

In this role, you will be called upon to display initiative toward improvement and optimization. Our ideal candidate will have over five years of experience managing network infrastructure and endpoints, experience with Cisco, Juniper, and Ubiquiti network technologies and Microsoft Intune, excellent documentation, communication, and project management skills, and aspires to join a high-performance team of technology enthusiasts providing quality customer service and effective technical solutions, in a fast-paced, dynamic, team-oriented environment.   

Location: This role requires 2-3 days a week in office in San Francisco, CA.

Responsibilities:  

• Configure and install various network devices and services (e.g., routers, switches, firewalls, load balancers, VPN, QoS) 
• Maintain Microsoft 365/Intune configuration, administration and deployments 
• Perform maintenance and upgrades, including service packs, patches, hotfixes, and security configurations 
• Own and administer organizations on macOS management platform Iru - (formerly Kandji) to ensure all devices meet security, compliance and operational standards.  
• Manage and maintain device lifecycle using Microsoft Intune (Windows). 
• Within MDM - design, implement, and maintain automated policies for deployment. 
• Monitor performance and ensure system availability and reliability. • Provide Level-3 support and troubleshooting to resolve issues 
• Work within established configuration and change management policies to ensure awareness, approval, and success of changes made to the infrastructure 
• Select and implement security tools, policies, and procedures with the company’s security team 
• Operational responsibility for the network and endpoint infrastructure 
• Participate in the testing and evaluation of new technologies 
• And any other duties as assigned 

Qualifications:  

• Undergraduate degree in Computer Science, Information Technology, or related field of study, or equivalent work experience 
• 5+ years of Network Engineer/Administration experience 
• Experience with Microsoft 365 technologies, configuration, and administration. (e.g., Active Directory, Intune, Office, Azure) 
• Hands-on network engineering and scripting experience 
• Deep understanding of networking protocols (e.g., IPSEC, HSRP, BGP, OSPF, 802.11, QoS) 
• Hands-on experience with monitoring, network diagnostic, and network analytics tools 
• Physical requirements: operate a computer for 8 hours per day; give and receive detailed information through verbal and written communication

Preferred Qualifications

• Demonstrated experience in leading process improvement and organization change initiatives 
• Strong verbal, written, and interpersonal communication skills • CCNP or higher (CCIE and/or CISSP highly valued) 
• Experience with scripting languages and automation tools 
• Experience with SaaS administration 
• Working knowledge of ITIL framework 
• Knowledge of tools used in ITSM environment 

For residents of San Francisco, CA the annual salary range for this role is $110,000 - $140,000+ annual bonus. Final offers may vary from the amount listed based on geography, candidate experience and expertise, bonus, and other factors

The Role

Turing builds large-scale datasets and reinforcement learning (RL) environments that power post-training for the world’s leading AI labs and enterprises. We create RL environments to evaluate and improve our customers' models on complex, long-range, multi-step workflows across high-GDP-value domains such as Finance, Sales, Retail, Developer Tools, Collaboration, Customer Experience. 

The environments vary depending on the model capability being evaluated / improved, a few examples of environment types are listed here: 

1. Environments for Software Engineering / coding agents 
2. UI-Environments for Computer-Use/Browser-Use agents 
3. MCP-based Environments for general function-calling agents across various enterprise and consumer applications

The Staff Research Engineer – Code will own end-to-end the creation of datasets, RL environments, and evals for frontier AI labs in the domain of coding agents and software engineering. This is a hands-on technical leadership role where you influence revenue directly – you will be mapped to one or more AI labs and interface directly with researchers / engineers at those labs to understand their needs and build data offerings to address those needs. To achieve this, you will build and manage teams of software engineers, researchers, QAs, and contractors/data-annotators from Turing’s talent pool of 4M+ developers.  

You’ll be responsible for delivering projects at frontier quality and scale—owning data quality, throughput, and timely delivery. You’ll define and manage data pipelines, validation workflows, and review processes to ensure datasets meet the highest standards for realism, correctness, and diversity. You’ll also develop automations, synthetic data generation systems, and internal tools to scale production efficiently. 

In short, you’ll run your project like a startup within Turing, owning both the technical architecture and the operational execution required to produce best-in-class datasets/environments/evals to make the world’s best coding agents and models even better at real-world coding tasks across the software development lifecycle.

What you’ll do

1. End-to-End Ownership: Data Quality, Process Design, and Team Building

• Lead the creation of datasets, rl environments, and evals focused on Coding Agents / Software Engineering for one or more AI lab customers.
• Ensure that everything you ship to clients meets frontier standards for realism, correctness, diversity, and difficulty.
• Set up quality rubrics, automated validation scripts, and human review processes for every stage of data generation.
• Build and lead cross-functional teams of software engineers, researchers, QAs, and data creators drawn from Turing’s 4M+ developer network.
• Interview, onboard, train, and mentor team members to ensure consistent output quality and technical excellence.

2. Collaborate with Researchers at Frontier Labs

• Act as the primary technical point of contact for your customer projects, interfacing directly with researchers and engineers at frontier AI labs to understand their coding agent roadmap and model data needs, to gather feedback, and to co-define success criteria for your projects.
• Provide regular progress updates, surface insights from model evaluations, and incorporate client feedback to improve future iterations.

3. Drive Research, Sales Enablement, and Industry Thought Leadership

• Fine-tune models in-house on Turing-generated datasets or Turing-rl-environment generated trajectories to determine model improvement as a proof of data quality
• Proactively build benchmarks and run evals on frontier models and coding agents to identify strengths and weaknesses on SWE tasks, and leverage these insights to inform product roadmap
• Equip customer-facing teams with the Evaluation reports, sample datasets, and trainings to enable them to communicate your data offerings to customers most effectively
• Publish research papers and technical posts on Turing’s data products, innovations in our synthetic data generation / automation pipelines, evaluations of frontier agents and models, and Turing’s model fine-tuning results on our datasets.

4. Build Tools and Infrastructure

• Oversee development of internal tools that accelerate data generation and verification (e.g., automated data scraping pipelines, unit test generators, repo sandboxing).
• Design dashboards and APIs for customers to run model evals, view performance reports, and integrate Turing data directly into their post-training pipelines.

What we’re looking for

• Post-training experience on SWE tasks or experience building coding agents: We expect that you have a deep understanding of data ingredients and design principles that lead to measurable coding model improvements, either from fine-tuning models to improve SWE capabilities or building your own coding agents to improve upon SWE capabilities of the base model.
• Engineering Management experience: have led teams of engineers in the past, including interviewing/hiring them and setting up QA processes.Hands-on technical capability: Fluency in Python and proficiency in one or more major languages (C++, Java, Go, Rust, or JS).
• Operational leadership: Proven ability to manage complex data pipelines, multi-stakeholder delivery, and concurrent high-stakes projects.
• Cross-functional communicator: ability to communicate clearly with researchers at frontier AI labs, subject matter experts for various domains, and diverse teams.
• Background in Computer Science, Machine Learning, or related technical field preferred.

Why Turing

• Work directly with the world’s leading AI labs and enterprises at the cutting edge of post-training and RL environment design.
• Real impact (path to AGI): your datasets and environments will directly influence the trajectory toward Artificial General Intelligence and, ultimately, Superintelligence. Coding is the core reasoning substrate of intelligence—advancing models’ ability to understand, design, and write code is effectively advancing their capacity for logic, planning, and abstract thought.
• Real Impact (GDP): automating software engineering unlocks one of the largest productivity frontiers in history. The software engineering market represents trillions in global GDP, and every percentage gain in automation translates to profound efficiency and innovation benefits across all industries.
• Talent-dense team, where you'll find high autonomy, rapid iteration, and an exceptional learning curve.

Compensation: $250,000 to $350,000 OTE + Equity

We are looking for an experienced Senior or Staff Engineer for our SRE, InfraSec team, to guide the security of our cloud-based infrastructure. As a Staff SRE, you will be very hands-on technically while also mentoring a small team of SREs.

The InfraSec team collaborates closely with other engineering teams to ensure that our infrastructure adheres to the highest security standards. They build essential security infrastructure and implement controls that reinforce the platform’s security posture.

This is an SRE team, which means you can expect a highly hands-on approach, tackling the technical challenges of implementing large scale solutions.This team is deeply involved in the technical aspects of security and the nuances of its actual implementation.

This role can sit in our New York City, Austin, Seattle or San Francisco offices on a hybrid basis, or it can be fully remote while working from a location based in either Eastern or Central time zones.

Responsibilities:

Cloud Security Design and Implementation:  

• Help lead the design and deployment of security solutions for cloud platforms (AWS, Azure, GCP), including network and compute security, identity management, and cloud security posture management (CSPM)

Automation and Monitoring:  

• Build automated solutions for real-time security monitoring, logging, and alerting in cloud environments. Leverage native cloud services and third-party tools for runtime security monitoring and anomaly detection

Security Tooling:

• Evaluate, implement, and manage cloud-native security tools and platforms for endpoint security, identity management (IAM), and CSPM 

Qualifications:

Experience:  

• 6+ years of experience in SRE, infrastructure engineering or similar role, with a strong focus on security work, with ideally 2+ years in a senior or staff engineering role

Security Mindset:

• A comprehensive understanding of all facets of cloud environment security, spanning from foundational OS networking layers to cloud provider configurations. Proven experience in leading projects within security-focused areas, such as runtime scanning, security observability, CSPM, and more

Cloud Expertise:  

• Strong experience with at least one cloud platform (AWS, Azure, GCP), including expertise in IAM, VPC networking, security groups, and cloud security tools (e.g., GuardDuty, Security Hub, CloudTrail)

Coding/Automation:  

• Proficiency in at least one programming language (we use Golang but are language agnostic when it comes to hiring ) and experience with infrastructure-as-code tools (Terraform, CloudFormation, Ansible) to automate security configurations and processes

Linux and Networking

• Understanding of the underlying Linux and networking concepts, including low-level fundamentals, and how they work together in complex systems

Communication and Leadership Skills:  

• Strong ability to explain complex security concepts to both technical and non-technical teams. Ability to lead a small technical team and ensure success both meeting the team goals as well as personal growth for all team members

About MongoDB

MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform—the most widely available, globally distributed database on the market—helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and nearly 60,000 customers—including 75% of the Fortune 100 and AI-native startups—relying on MongoDB for their most important applications, we’re powering the next era of software.

Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. 

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

MongoDB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Req ID: 1263064630

Who we are

About Stripe

Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career.

About the team

Before Stripe, every growing internet platform had a payments team. Today, every growing internet platform has an Identity team. Identity verification has become core economic infrastructure for online businesses — enabling them to digitally verify their users' identities for fraud prevention, regulatory compliance, and trust and safety purposes.

At Stripe, we're building something more ambitious than a verification product. Our vision is to build the world's most trusted store of verified identities — a single, global, reusable, risk-scored representation of every individual who interacts with Stripe and beyond. This Identity Store becomes a platform with compounding network effects: more verifications enrich the store; a richer store produces better fraud signals; better signals mean lower friction for trusted users; lower friction drives more adoption.

Our product today serves millions of verifications per month for customers like OpenAI, Shopify, and WhatNot, and powers identity verification across multiple internal Stripe products including Fraud, Link, Connect, and Crypto. The problems ahead — adversarial AI and deepfake defense, networked identity infrastructure, progressive verification platforms, and low friction KYC APIs — sit at the frontier of what's possible in identity engineering.

What you’ll do

As a Staff Engineer on the Identity team, you will own the technical direction of one of Stripe's most strategically important product areas. This is not a role defined by task execution — it's a role defined by technical judgment, architectural influence, and the ability to turn an ambitious vision into a reliable, scalable system.

Responsibilities

• Own technical strategy — Define the architecture for Identity's core systems (Identity Store, headless verification platform, fraud detection infrastructure), make build-vs-buy-vs-partner decisions, and surface technical risks before they become customer-facing failures
• Lead 0-1 platform development — Architect net-new systems including the Identity Store, Networked Identity platform, and advanced fraud detection pipeline (behavioral biometrics, deepfake discriminators, adversarial training). Drive the evolution from a hosted-UI product to a headless-API and embedded-components platform
• Drive cross-functional alignment — Be the primary technical voice in roadmap and resourcing discussions. Partner with ML, product, legal, and engineering leads across Risk, Fraud, Link, Connect, and Crypto to ensure Identity's abstractions serve the full breadth of Stripe's product surface
• Raise the technical bar — Set engineering standards across ML, backend, mobile, and front-end; lead design reviews; and mentor senior engineers on the judgment needed to operate a high-stakes, externally-facing product
• Operate with ownership — Be accountable for reliability, scalability, and security of the systems you design — including the observability and alerting that catch model drift and fraud pattern shifts before customers do

Who you are

We’re looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.

Minimum requirements

• 10+ years of software engineering experience, including 5+ years of experience in a strategic technical leadership role.
• Experience leading engineering team(s) working on API design, abstractions, frameworks, or client libraries (e.g. building internal or external developer products). 
• Proven track record of delivering pragmatic solutions that accelerate business growth 
• Ability to adjust conversations from high-level discussions to detailed coding 
• Thrives on a high level of autonomy and responsibility 
• Clear and persuasive writing and in-person communication 
• Strong problem-solving skills, critical thinking, determination, and a growth mindset 
• Ability to work effectively with a diverse group of people, genuinely caring for each other and contributing to high level of psychological safety for all team members and partner
• Has experience in a range of software languages and frameworks. Examples of what we work with include:
• Languages: primarily Ruby and Typescript, but also Python, Scala, Java, Go, and SQL (Spark and Trino dialects)
• Frameworks: React, GraphQL Kafka, Protobuf, Airflow, Bazel, Temporal, 
• Others: Mongo, Splunk, Prometheus

Preferred qualifications

• Experience with identity verification, fraud detection, or trust and safety systems — especially systems with adversarial inputs at scale
• Familiarity with ML systems in production: model serving, training pipelines, observability, drift detection, and the feedback loops that keep models accurate under adversarial conditions
• Experience building platform products with multiple consumer types — internal platform teams and external developers — where API backward compatibility and abstraction quality are first-class concerns
• Prior experience with 0-1 product builds: you've started with a blank page and ended with a production system, and you have clear opinions about what makes that process go well or poorly
• Exposure to the technical stack we work with: primarily Ruby and TypeScript on the backend and web, Python for ML and data pipelines, with infrastructure spanning Kafka, Temporal, Protobuf, React, and distributed data stores
• Experience navigating ambiguity in a fast-moving organization — you can make confident technical decisions with incomplete information and update gracefully when new constraints emerge

Why Stripe Identity

• The market is at an inflection point. The global identity verification market is growing at ~15% CAGR, from $12.5B in 2024 to $21.8B by 2028. Competitors have more features today — but none of them have Stripe's moat: payments signals, fraud network, consumer graph, and KYC data spanning the full financial ecosystem. We're building to win the next decade, not the last one.
• The problems are genuinely hard. Adversarial ML against deepfakes and face swaps. Distributed identity graph architecture with real-time freshness requirements. Progressive verification APIs that minimize friction without sacrificing fraud detection accuracy. These are unsolved problems — not just at Stripe, but in the industry.
• You'll work on systems that matter immediately. The verifications we run protect real users from real fraud. When our recall improves by 10 points, that's millions of dollars in prevented fraud losses for customers who rely on us. When our mobile SDK completion rate rises, thousands more legitimate users successfully onboard each month.
• The team is small enough that your judgment shapes the architecture. This isn't a role where you inherit decisions made five years ago. It's a role where the decisions you make in 2026 are the ones the team will build on through 2029.

The Position: 

OPSWAT is now searching for Tier 2 Technical Support Engineer to join our Customer Support team. The role focuses on diagnosing and resolving complex technical issues and escalated issues from tier 1 support and ensuring customer satisfaction through timely responses. We are looking for an energetic and motivated person who likes interacting with customers, tinkering with software, learning about new technologies, and “doing what it takes,” to contribute to OPSWAT’s quick growth.

Responsibilities:

• Handle complex technical issues and escalated ones from tier 1 support via phone, case system, and chat.
• Provide advanced troubleshooting and support for OPSWAT solutions via log analysis, system diagnostics, network configurations.
• Conduct remote sessions with customers.
• Reproduce customer issues in lab environments and validate solutions and bug fixes.
• Evaluate the complexity of issues and escalate to tier 3 support.
• Collaborate with Tier 1 and Tier 3 support well.
• Work closely with technically oriented customers (typical customers are engineers and IT personnel).
• Provide status updates to customers, adhering to SLA and commitments.
• Maintain clear and professional communication to ensure positive customer experience and CSAT
• Contribute to the KBs creation and updates for customer’s self-service.
• Mentor L1 support and contributes to support process improvement.
• Get involved in professional delivery services.
• Get involved in other side projects and operations per request.

Minimum requirements:

• A good foundation of basic networking concepts.
• Basic knowledge of Linux, with an interest in expanding the knowledge.
• Ability to think logically, analyze logs and troubleshoot computer software and IT related issues.
• Troubleshooting SCADA communications issues
• Hands-on understanding of major DevOps tools: Docker, Kubernetes (GCP GKE), CI/CD tools, Terraform, Ansible, Monitoring & Logging Tools (Zipkin, Sentry, Prometheus, ELK stack).
• Strong spoken and written English.
• Excellent communication and interpersonal skills.
• A proven customer-oriented attitude.
• Strong team collaboration abilities and organizational skills.
• At least 2-4 years of Experience in providing customer support of technical software products or a technical helpdesk environment or a related field.

 Nice to have

• Bachelor’s degree in computer science (CS), or technical discipline, or equivalent experience.
• Experience working with offshore teams. 
• Familiarity with computer programing.
• Technical familiarity with Mac OS.
• Cybersecurity domain experience, including file security, device security, network security, etc.
• Network integration skillsets (e.g. Cisco, Dell-EMC, Juniper, Aruba, Ruckus, Meraki, Aerohive, Extreme, etc).
• Certifications/Training: Relevant SCADA or PLC OEM certifications.
• Experience in Control System Design, PLC Programming, & SCADA Development
• Experience in Cloud Based Services (e.g. AWS, GCP).
• Experience working on Linux based infrastructure.
• Experience working with scripting languages such as bash script, PowerShell, and Python.
• Configuration and management of databases such as MySQL, Mongo.

About the role

We are seeking a Staff Software Engineer to build and operate the safety, oversight, and intervention mechanisms that protect Claude on third-party cloud service provider (CSP) platforms. As the engineer responsible for Safeguards on those surfaces, you will ensure that every request served through our CSP partners is monitored for misuse, enforced against policy, and compliant with the data residency and privacy commitments that enterprise CSP customers expect.

You will sit at the seam between the Safeguards organization and the Cloud Inference team: taking classifiers, detection signals, and enforcement policies developed by Safeguards and making them run reliably inside a CSP partner’s infrastructure at serving-path latency and scale. You will own the architecture that lets our safeguards operate within those constraints without gaps. You will build, deploy and operate the multi-layered defenses that catch unwanted model behavior in real time, the telemetry pipelines that give us situational awareness over CSP traffic, and the enforcement hooks that let us act quickly when something goes wrong. Your work will directly determine whether Anthropic can ship frontier models on CSP platforms at the same safety bar we hold ourselves to on our first-party API.

Responsibilities:

• Build, deploy and operate real-time safeguards infrastructure—classifiers, rate limits, enforcement actions, and intervention hooks—embedded directly in the third-party CSP inference serving path
• Design and maintain the data residency and privacy architecture for safeguards signals on CSP platforms, ensuring we can detect abuse and monitor model behavior while honoring regionalization boundaries and enterprise contractual commitments
• Develop telemetry, logging, and evaluation pipelines that give Safeguards, Policy, and T&S operational teams situational awareness over CSP traffic and close the visibility gap between third-party and first-party serving
• Dive into the CSP serving stack to identify the lowest-impact points to gather signals or introduce interventions without degrading latency, stability, or overall architecture
• Hold a high operational bar: own on-call, drive root-cause analyses and postmortems for safeguards incidents on CSP platforms, and build systems that reduce the human intervention required to keep Claude safe
• Work closely with Safeguards research, Policy & Enforcement, the Cloud Inference team, and CSP partner contacts to turn detection research and policy decisions into production enforcement that works inside a partner’s cloud.

You may be a good fit if you:

• Have a Bachelor’s degree in Computer Science, Software Engineering, or comparable experience
• Have 7+ years of experience in high-scale, high-reliability software development, ideally with exposure to trust & safety, anti-abuse, fraud, or integrity systems
• Are proficient in Python and comfortable working across the stack—from request-path services to data pipelines to internal tooling
• Think adversarially: you can see a system from a bad actor’s perspective, anticipate how they will respond to countermeasures, and design defenses in depth rather than single points of enforcement
• Have experience scaling infrastructure to accommodate rapid traffic growth while keeping latency and reliability within tight budgets
• Are deeply interested in the potential transformative effects of advanced AI systems and are committed to ensuring their safe development
• Have strong communication skills and can explain complex technical and risk tradeoffs to non-technical stakeholders across Policy, Legal, and partner organizations
• Enjoy working in a fast-paced, early environment; comfortable with adapting priorities as driven by the rapidly evolving AI space

Strong candidates may also have experience with:

• Building trust and safety, anti-spam, fraud, or abuse detection and mitigation mechanisms for AI/ML systems, or the infrastructure to support these systems at scale
• Machine learning serving infrastructure (GPUs/TPUs, inference servers, load balancing) and the operational realities of running models in production
• Major cloud platform internals—IAM, Network/service perimeter controls, regional resource constraints, cloud-native logging/monitoring—or experience shipping software that runs inside a partner’s cloud rather than your own
• Data residency, privacy engineering, or compliance-constrained architectures, particularly where telemetry has to stay within regional or contractual boundaries
• Working closely with operational and human-review teams to build custom internal tooling, admin UX, and alerting
• Adversarial mindset: has shipped defenses against motivated attackers before, knows what it feels like when they adapt, and can sprint to close a gap before it becomes an incident
• Comfortable operating at the intersection of platform/infra engineering and trust & safety—neither a pure infra engineer nor a pure T&S engineer, but someone who can credibly do both
• Has shipped software that runs inside someone else’s infrastructure (partner cloud, embedded deployment, or similar) and knows how to get things done when you don’t control the whole stack
• Senior enough to own a cross-team seam independently, drive consensus across orgs, and make latency/safety tradeoff calls without escalation
• TypeScript or Rust, and agentic coding tools such as Claude Code

Senior Security Engineer

Our Engineering Standards at Karbon:

Balance Speed and Quality

Engineers are expected to balance delivery speed with a strong commitment to quality, meeting agreed timelines while producing reliable, maintainable, and well-tested solutions. Sound judgment in making trade-offs between velocity and long-term sustainability is essential.

Collaborate Effectively

Engineering is collaborative by default. Team members are expected to contribute constructively in design discussions, reviews, and planning, communicate clearly about progress and risks, and support shared team outcomes in both hybrid and distributed environments.

Build and Maintain Systems

Engineers are responsible for building new capabilities while maintaining and improving existing systems. This includes designing scalable solutions, reducing technical debt, supporting operational stability, and contributing to continuous improvement.

Operate with Autonomy

A high degree of autonomy is expected. Given clear objectives, engineers should independently translate problems into actionable technical approaches, proactively identify improvements, and continuously expand relevant technical expertise.

Ownership and Accountability

Ownership is fundamental. Engineers are accountable for the quality, performance, and customer impact of their work from design through post-release support, and are expected to follow through on commitments.

AI-Enabled Engineering

AI is reshaping how software is built, and we are committed to leveraging it as a force multiplier for creativity, impact, and capability. Engineers are expected to confidently apply strong technical fundamentals while embracing AI tools and approaches to enhance productivity, problem-solving, and innovation. Curiosity, adaptability, and enthusiasm for integrating AI into meaningful product development are essential.

Contribute to Team Culture

Engineers contribute positively to a culture of professionalism, transparency, low bureaucracy, and mutual respect, strengthening team performance through authenticity, curiosity, and collaboration.

About the Role! 

Seeking a development & cloud focused Senior Security Engineer to join our expanding security team.

The ideal candidate will have passion for AppSec, Cloud and AI. They will be a skilled communicator and relationship builder capable of promoting and building security practices across the organization and into our development processes.

AI is reshaping practices across the board and at Karbon we’re fully committed. We don’t see AI as a replacement but as a force multiplier. We’re looking for Security Engineers who are confident in network & security fundamentals, driven to grow, and excited by the challenges and opportunities AI brings.

What You’ll Own:

• Partner with different areas within Karbon - You will make sure security is embedded from the start from feature design and development to participating in design reviews and threat modelling.
• Balance Security and Delivery - You know how to balance delivery needs with security and can communicate security risks and issues to non technical stakeholders. You understand when it's important to push back, when to compromise and how to work with delivery teams to reach a great outcome.
• You keep up to date on the latest technologies and approaches - You are excited by the new developments such as AI bring to security but also understand the importance of security foundational practices such as good account hygiene, least privilege, attack surface reduction and MFA.
• Identify and assess security risks introduced by AI tools - You’ll assist with reviewing the risks of AI tooling usage & Integration and AI-generated code.
• Apply AI-assisted tooling to accelerate security work - you understand the impact AI can have and utilize it across many areas including triage, threat detection, code review, and documentation.
• Flexibility and confidence to work across multiple security domains - We’re a small team responsible for Security at a fast moving company and you’ll get exposure to many different security domains; you could be assisting with refining and investigating corporate IT security processes in the morning, reviewing a cloud hosted system after lunch and then tweaking detection rules!
• Work effectively as part of a team - Security is a team sport and you understand the need to build relationships and trust across the organization to enhance Karbon’s security posture. You are happy to answer questions and offer advice to teams that will reach out for your assistance.
• Own your work - You take pride in your work, feeling a deep sense of responsibility for the products we develop and ensuring we keep our customers' valuable data secure. This sense of ownership is paramount, and you share this commitment.
• Bring your passion and personality - Your creativity, curiosity, and authentic self make the team stronger. If you've worked in highly political environments, you'll find our culture, free from office politics and valuing openness and authenticity, a refreshing change.
• Help us measure improvement and steer our roadmap - Contribute to Security Metrics so we can track progress and feedback into our roadmap.

What Sets You Apart

4+ years experience in a security or development role across most of the following:

• Collaborating with teams to review designs & implementations for security issues and embedding good security practices across software development
• Triaging issues and reports, assisting teams to remedy items and testing fixes
• Working with external penetration test companies to validate and prioritize findings
• Conducting risk and vulnerability assessments of web applications and APIs and third party suppliers and integrations
• Configuring and tuning SAST, SCA and DAST Tooling
• Working with build/deployment pipelines to incorporate security tooling (Github Actions or Azure Devops YAML based pipelines)
• Assisting with implementing security focused alerting and detections and automations
• Conducting and facilitating organizational & developer focused security training
• Assisting with operational security items such as EDR alerts and MDM
• Contributing to our security roadmap

In addition you’ll need:

• Strong communication skills (spoken and written) 
• Some of the following Languages/Frameworks: Microsoft .NET/C#, JavaScript (we use React and EmberJS frameworks and, Python)
• At least one cloud platform: Azure, AWS or GCP (we use Azure predominantly)
• Working knowledge of PowerShell or Bash and Python
• Working knowledge of at least one AI development tool e.g. Claude Code, GitHub Co-Pilot etc
• Portswigger Burp or similar
• Certifications such as Offsec OSCP & AWAE, GIAC, Burp Practitioner, PJPT, Microsoft/AWS development and cloud related are nice to have
• Experience with securing AI applications, systems and AI tooling would be highly regarded

Why Work at Karbon?

• Gain global experience across Australia, New Zealand, UK, and Canada
• Strong benefits package including:
• Flexible Time Off with an encouraged 4 weeks use per year
• Company paid medical for you and eligible spouse/partner and dependents
• Paid dental and vision and eligible spouse/partner and dependents
• 401(k) with company matching
• Flexible Spending Account
• Up to 8 weeks paid parental leave
• Work-from-home stipend
• Work with (and learn from) an experienced, high-performing team
• A collaborative, team-oriented culture that embraces diversity, invests in development and provides consistent feedback
• Be part of a fast-growing company that firmly believes in promoting high performers from within

#TeamNextdoor

Nextdoor (NYSE: NXDR) is the essential neighborhood network. Neighbors, public agencies, and businesses use Nextdoor to connect around local information that matters in more than 350,000 neighborhoods across 11 countries. Nextdoor builds innovative technology to foster local community, share important news, and create neighborhood connections at scale. Download the app and join the neighborhood at nextdoor.com.

Meet Your Future Neighbors

At Nextdoor, machine learning is one of the most important teams we are growing. Machine learning is starting to transform our product through personalization, driving major impact across different parts of our platform, including newsfeed, notifications, ad relevance, connections, search, and trust. Our machine learning team is lean but hungry to drive even more impact and make Nextdoor the neighborhood hub for local exchange. We believe that ML will be integral to making Nextdoor valuable to our members. We also believe that ML should be ethical and encourage healthy habits and interaction, not addictive behavior. We are looking for great engineers who believe in the power of the local community to empower our members to make their communities great places to live. 

At Nextdoor, we offer a warm and inclusive work environment that embraces a hybrid and remote employment experience, providing a flexible experience for our valued employees. The hiring team will go over these expectations with you if you are being considered for a role near one of our offices in San Francisco, Los Angeles, Chicago, Dallas, New York, and London.

The Impact You’ll Make

• You will be part of a scrappy and impactful team building data-intensive products, working with data and features, building machine learning models, and sharing insights around data and experiments. You will work closely with the Product and Data Science teams on a daily basis. Finally, you will help build the foundational patterns that ML engineers will use for years to come as we ramp up our effort to introduce machine learning into our platform
• Collect and gather datasets to build machine learning (ML) models that make real-time decisions for the Nextdoor platform
• Analyze datasets and use important features to build low-latency models for decisions that need to be made quickly
• Deploy ML models into production environments and integrate them into the product
• Run and analyze live user-facing experiments to iterate on model quality by measuring impact on business metrics
• Collaborate with other engineers and data scientists to create optimal experiences on the platform
• Participate in in-person Nextdoor events such as trainings, off-sites, volunteer days, and team building exercises
• Build in-person relationships with team members and contribute to Nextdoor’s company culture

What You’ll Bring To The Team

• B.S. in Computer Science, Applied Math, Statistics, Computational Biology, or a related field
• 5+ years of industry/academic experience in applying machine learning at scale
• Experience in building ML models for advertising products
• Proven engineering skills. Experience in writing and maintaining high-quality production code
• Ability to work with and analyze large amounts of data
• Ability to succeed in a dynamic startup environment
• Eagerness to explore and apply AI and emerging technologies to reimagine how work gets done

Rewards

Compensation, benefits, perks, and recognition programs at Nextdoor come together to create one overall rewards package.

The starting salary for this role is expected to range from $205,000 to $355,000 on an annualized basis, or potentially greater in the event that your 'level' of proficiency exceeds the level expected for the role. Compensation may also vary by geography.

We also expect to award a meaningful equity grant for this role. With quarterly vesting, your first vest date would be within the first 3 months of your start date.

Overall, total compensation will vary depending on your relevant skills, experience, and qualifications.

We have you covered! Nextdoor employees can choose between a variety of great health plans. We cover 100% of your personal monthly premium for health, dental, and vision – and provide a OneMedical membership for concierge care.

At Nextdoor, we empower our employees to build stronger local communities. To create a platform where all feel welcome, we want our workforce to reflect the diversity of the neighbors we serve. We encourage everyone interested in our mission to apply. We do not discriminate on the basis of race, gender, religion, sexual orientation, age, or any other trait that unfairly targets a group of people. In accordance with the San Francisco Fair Chance Ordinance, we always consider qualified applicants with arrest and conviction records.

For information about our collection and use of applicants’ personal information, please see Nextdoor's Personnel Privacy Notice, found here.

#LI-Hybrid #LI-Remote

The Role:  

Forge’s quality engineering team’s charter is to improve product quality. We thrive on holding high standards, obsessing over our customers, and living our values of being bold, humble and accountable.

We are seeking a Staff Quality Engineer with at least 8 years of experience owning and delivering quality for large complex financial trading systems. This role will work on our trading team. We are looking for a senior, technical and customer focused candidate who will also embody Forge values. The ideal candidate thrives in team settings and is motivated by creating success all around them through strong communication, shipping great product experiences, and making data-driven decision

Location: This role requires 2-3 days a week in office in our San Francisco, CA office

Responsibilities: 

• Build comprehensive bottoms up Test Strategies for our platform services organization
• Write tests plans covering various customer use cases – functional, compliance & legal aspects
• Engage is projects from the initiation phase to identify gaps in requirement and failure modes in design
• Be a force multiplier to help developers shift testing left
• Automate tests based on what’s most valuable and high priority and help adopt best practices to improve code quality
• Collaborate with Forge’s product, design, information security and business team members to quickly grasp domain knowledge.
• Develop concise, articulate, and detailed documentation[RP1] [AD2] 
• Participate in scope definition, requirements analysis, functional and technical design, application build, product configuration, unit testing, and production deployment.
• Provide technical expertise and ownership in the diagnosis and resolution of issues, including the determination and provision of workaround solution or escalation to service owners.
• Identify defect trends and partner with development teams to fix the root cause
• Leverage artificial intelligence technologies to improve the impact and efficiency of testing

Qualifications: 

• Bachelor’s degree in Computer Science, Engineering, or related field (or 5 years software engineering experience)
• 8-12 years of software testing experience
• Fintech, Trading or Financial services industry experience
• Experience in leading quality efforts for internet applications
• Physical requirements: operate a computer for at least 8 hours per day; give and receive detailed information through verbal and written communication

For residents of the SF, CA the annual salary range for this role is $180,000 - $200,000 + annual bonus. Final offers may vary from the amount listed based on geography, candidate experience and expertise, bonus, and other factors

The Role:  

Forge’s quality engineering team’s charter is to improve product quality. We thrive on holding high standards, obsessing over our customers, and living our values of being bold, humble and accountable.

We are seeking a Staff Quality Engineer with at least 8 years of experience owning and delivering quality for large complex financial trading systems. This role will work on our trading team. We are looking for a senior, technical and customer focused candidate who will also embody Forge values. The ideal candidate thrives in team settings and is motivated by creating success all around them through strong communication, shipping great product experiences, and making data-driven decision

Location: This role requires 2-3 days a week in office in our Soho, NY office

Responsibilities: 

• Build comprehensive bottoms up Test Strategies for our platform services organization
• Write tests plans covering various customer use cases – functional, compliance & legal aspects
• Engage is projects from the initiation phase to identify gaps in requirement and failure modes in design
• Be a force multiplier to help developers shift testing left
• Automate tests based on what’s most valuable and high priority and help adopt best practices to improve code quality
• Collaborate with Forge’s product, design, information security and business team members to quickly grasp domain knowledge.
• Develop concise, articulate, and detailed documentation[RP1] [AD2] 
• Participate in scope definition, requirements analysis, functional and technical design, application build, product configuration, unit testing, and production deployment.
• Provide technical expertise and ownership in the diagnosis and resolution of issues, including the determination and provision of workaround solution or escalation to service owners.
• Identify defect trends and partner with development teams to fix the root cause
• Leverage artificial intelligence technologies to improve the impact and efficiency of testing

Qualifications: 

• Bachelor’s degree in Computer Science, Engineering, or related field (or 5 years software engineering experience)
• 8-12 years of software testing experience
• Fintech, Trading or Financial services industry experience
• Experience in leading quality efforts for internet applications
• Physical requirements: operate a computer for at least 8 hours per day; give and receive detailed information through verbal and written communication

For residents of the NY, NY the annual salary range for this role is $180,000 - $200,000 + annual bonus. Final offers may vary from the amount listed based on geography, candidate experience and expertise, bonus, and other factors

The Role:  

Forge’s quality engineering team’s charter is to improve product quality. We thrive on holding high standards, obsessing over our customers, and living our values of being bold, humble and accountable.

We are seeking a Staff Quality Engineer with at least 8 years of experience owning and delivering quality for large complex financial trading systems. This role will work on our trading team. We are looking for a senior, technical and customer focused candidate who will also embody Forge values. The ideal candidate thrives in team settings and is motivated by creating success all around them through strong communication, shipping great product experiences, and making data-driven decision

Location: This position is remote in Denver, CO. We intend to open an office in Denver and once we do, we will require hybrid attendance onsite at least 9 days each month.

Responsibilities: 

• Build comprehensive bottoms up Test Strategies for our platform services organization
• Write tests plans covering various customer use cases – functional, compliance & legal aspects
• Engage is projects from the initiation phase to identify gaps in requirement and failure modes in design
• Be a force multiplier to help developers shift testing left
• Automate tests based on what’s most valuable and high priority and help adopt best practices to improve code quality
• Collaborate with Forge’s product, design, information security and business team members to quickly grasp domain knowledge.
• Develop concise, articulate, and detailed documentation[RP1] [AD2] 
• Participate in scope definition, requirements analysis, functional and technical design, application build, product configuration, unit testing, and production deployment.
• Provide technical expertise and ownership in the diagnosis and resolution of issues, including the determination and provision of workaround solution or escalation to service owners.
• Identify defect trends and partner with development teams to fix the root cause
• Leverage artificial intelligence technologies to improve the impact and efficiency of testing

Qualifications: 

• Bachelor’s degree in Computer Science, Engineering, or related field (or 5 years software engineering experience)
• 8-12 years of software testing experience
• Fintech, Trading or Financial services industry experience
• Experience in leading quality efforts for internet applications
• Physical requirements: operate a computer for at least 8 hours per day; give and receive detailed information through verbal and written communication

For residents of the Denver, CO area, the annual salary range for this role is $155,000 - $175,000 + annual bonus. Final offers may vary from the amount listed based on geography, candidate experience and expertise, bonus, and other factors

The Sr. Customer Solutions Engineer is a customer-facing technical role responsible for enabling the successful integration of FORT products into customer robotic systems and platforms. This engineer will serve as FORT's primary technical presence at customer sites, guiding integration design, resolving implementation challenges, and ensuring customers achieve full functional and safety compliance with FORT's control systems. 

This is a high-impact, high-visibility position requiring strong technical depth, strong interpersonal communication, and the ability to operate independently in fast-paced industrial environments.

Key Responsibilities

• Travel to customer sites (up to 80%) to support integration of FORT wireless E-Stop and remote-control products into AGVs, AMRs, and custom automation platforms 
• Conduct integration design reviews, site assessments, and technical walkthroughs with customer engineering teams.
• Advise on integration architecture, including CAN bus topology, wiring schematics, and API-based software integration.
• Apply functional safety principles to validate safety-rated system designs
• Deliver remote integration support when appropriate with FORT customers. 
• Produce field reports, integration guides, and configuration documentation for internal and customer use.

Required Qualifications

• Bachelor's degree in Electrical Engineering, Mechanical Engineering, Robotics, or related field
• 3–7 years in systems engineering, field applications, or technical integration in robotics or industrial automation
• Hands-on experience with CAN bus protocols and API integration in industrial contexts
• Working knowledge of electrical systems, control schematics, and functional safety standards
• Ability to travel up to 80%, including occasional international travel

Preferred Qualifications

• Experience integrating wireless control or E-Stop systems into mobile robotics platforms
• Familiarity with ROS, PLC-based systems, or industrial protocols (EtherNet/IP, Modbus)

The base salary for this position ranges from $115,000 to $150,000, based on qualifications, experience, and the level at which the candidate is hired. Total compensation may also include additional incentives and benefits.

The Senior Solutions Engineer Opportunity

Reporting to the Senior Manager of Solutions Engineers, the Sr Solutions Engineer (Corporate New Business) is a functional business consultant,  with a passion for technology and the advanced ability to develop, position and demonstrate product-specific solutions during sales cycles, while achieving quarterly and annual sales goals for an assigned territory. A background in software development and experience with developer-centric identity platforms (such as Auth0) can be particularly impactful, enabling you to deeply understand and articulate the value of Auth0 by Okta from a technical implementer's perspective.

What you’ll be doing 

• Work alongside the Corporate/New Business (employee size 300-1249) sales team as the technical and domain expert of a customer-facing sales team to help Customers understand the value of Okta’s solutions
• Understand customer challenges and business issues especially those faced by development and product teams - and provide product demonstrations to align our solutions with customer needs.
• Answer product features and technical questions from customers, partners and Okta colleagues.
• Plan and deliver Proof Of Concepts for customers who have more complex use cases, collaborating with other Okta engineering teams as needed. This will include scripting and coding to showcase Auth0’s capabilities.
• Provide feedback to product management about product enhancements that can address customer needs and provide additional value.
• Share and learn best practices and re-usable assets with other Solutions Engineers to enhance the quality and efficiency of the team.
• Stay current on competitive analysis and market differentiation.
• Support marketing events including executive briefings, conferences, user groups, and trade shows.
• At times, be asked to learn and lead your team as a subject matter expert (SME) with various product solutions and/or competitive knowledge.

What you’ll bring to the role

• 8+ years pre-sales engineering experience.
• A passion to serve the Customer, demonstrated in a customer-facing role, such as consulting or support, but ideally in a pre-sales capacity.
• An ability to quickly communicate complex ideas around a technical topic, ideally on the fly, using a whiteboard.
• Deployed apps in cloud platforms: AWS, Azure, GCP, Vercel, etc.
• Experience with at least one standard network security protocol. (eg. OAuth, OAuth2, SAML, LDAP)
• Experience working with REST APIs, API Gateways, and SDKs
• Hands-on experience in one or more of the following areas: web (JavaScript, HTML, frontend frameworks) development, mobile (iOS, Android) development, backend (Java, C#, Node.js, Python, PHP, Ruby) development, IP-based real-time communications.
• Leverage your software development background to effectively communicate with technical audiences, including developers, architects, and DevOps engineers, translating their requirements into robust solutions.
• An understanding of core security concerns within a typical application. (password hashing, SSL/TLS, encryption at rest, XSS, XSRF)
• Exceptional communicator.
• Confident dispensing knowledge to a highly skilled and experienced audience, presenting to large rooms filled with experts in the field
• Territory management skills, including pipeline building and working with Sales counterparts to guide execution excellence.
• Typically 25% travel.
• Bachelor's degree in Engineering, Computer Science, MIS or a comparable field is preferred.

You might also have (not mandatory):

• Hands-on experience with Generative AI or LLM technology such as LangChain, GenKit, LlamaIndex, etc.
• Experience integrating with microservices, data lakes, or customer data platforms.
• Developed ReBAC or Fine Grain Authorization models.
• Diagramming experience for user journey flows, complex architecture diagrams, etc.

Preferred Experience (bonus points):

• Trusted Advisor in your sales region (Area Sales Director and Area Vice President)
• Experience leading highly strategic technical sales plays, targeting new account acquisitions, or transferrable experiences preferred.
• Creation of reusable artifacts to be adopted by the presales and/or sales community.
• Publication of thought leadership documentation externally annually.
• Technical leader among peers and a mentor to help grow others in the segment.

LI#Remote

LI#CM

P7161_3396398

The Solutions Engineer Team

We believe Solutions Engineers at Okta are involved in all stages of the customer’s digital transformation.  Solutions Engineers are experienced using presentations, email, phone and social media to connect with customers virtually and in-person. We are looking for great teammates who can build and deliver sales presentations and customized product demonstrations to help educate Okta’s Customers (everyone from developers to product managers to C-level executives) on best practices during their cloud security technology journey. We believe Okta’s Solutions Engineers empathize with Customers and quickly discern their true technical needs by asking detailed, clarifying questions while presenting solutions that specifically address those needs. Okta Solution Engineers have the rare combination of technical acumen and business insight; in a career where you can utilize both. As a Solutions Engineer at Okta, you will further develop each of these skills by advising a diverse set of customers on the value they will gain by using Okta’s Identity Platform.

The Solutions Engineer Opportunity

Reporting to the Senior Manager of Solutions Engineers Enterprise West, the Solutions Engineer is a functional business consultant,  with a passion for technology and the advanced ability to develop, position and demonstrate product-specific solutions during sales cycles, while achieving quarterly and annual sales goals for an assigned territory.

What you’ll be doing

• Work alongside the sales team as the technical and domain expert of a customer-facing sales team to help Customers understand the value of Okta’s solutions
• Understand customer challenges and business issues and provide product demonstrations to align our solutions with customer needs
• Answer product feature and technical questions from customers, partners and Okta colleagues
• Plan and deliver Proof Of Concepts for customers who have more complex use cases, collaborating with other Okta engineering teams as needed
• Provide feedback to product management about product enhancements that can address customer needs and provide additional value
• Share and learn best practices and re-usable assets with other Solutions Engineers to enhance the quality and efficiency of the team
• Stay current on competitive analysis and market differentiation
• Support marketing events including executive briefings, conferences, user groups, and trade shows
• At times, be asked to learn and lead your team as a subject matter expert (SME) with various product solutions and/or competitive knowledge

What you’ll bring to the role

• 8+ years pre-sales engineering experience and solution selling.
• A passion to serve the Customer, demonstrated in a customer-facing role, such as presales or professional services, but ideally in a pre-sales capacity.
• An ability to quickly communicate complex ideas around a technical topic, ideally on the fly, using a whiteboard.
• Deployed apps in cloud platforms: AWS, Azure, GCP, Vercel, etc.
• Experience with at least one standard network security protocol. (eg. OAuth, OAuth2, SAML, LDAP)
• Experience working with REST APIs and SDKs
• Hands-on experience in one or more of the following areas: web (JavaScript, HTML, frontend frameworks) development, backend (Java, C#, Node.js, Python) development, scripting (Bash, Powershell, Perl)
• An understanding of core security concerns within a typical application. (password hashing, SSL/TLS, encryption at rest, XSS, XSRF)
• You're an exceptional communicator, adept at simplifying complex technical concepts for diverse audiences, including highly skilled experts in large group settings.
• A confident and articulate presenter, you excel at sharing knowledge and insights with experienced technical professionals and large expert audiences.
• Demonstrated ability to effectively communicate complex technical information to highly skilled and experienced audiences, whether one-on-one or in large presentations.
• Territory management skills, including pipeline building and working with Sales counterparts to guide execution excellence
• Diagramming experience for user journey flows, complex architecture diagrams, etc.
• Typically 25% travel.
• Bachelor's degree in Engineering, Computer Science, MIS or a comparable field is preferred.

You ideally have

• Proven experience designing, implementing, and managing Privileged Access Management (PAM) solutions in enterprise environments.
• Deep understanding of the challenges and best practices associated with securing privileged accounts, including just-in-time (JIT) access, session recording, credential vaulting, and secrets management.
• Practical experience managing Windows Server, Active Directory, LDAP, and Federation services.
• Proficiency in UNIX/Linux, database security, network security, scripting, and DevOps practices preferred.
• Relevant experience with enterprise applications, security management, systems management, identity management, and/or policy management solutions, particularly in the areas of Identity and Privileged Access

P24432_3342674

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Okta- Solutions Engineer- SLED

The Solutions Engineer Team

We believe Solutions Engineers at Okta are involved in all stages of the customer’s digital transformation.  Solutions Engineers are experienced using presentations, email, phone and social media to connect with customers virtually and in-person. We are looking for great teammates who can build and deliver sales presentations and customized product demonstrations to help educate Okta’s Customers (everyone from developers to product managers to C-level executives) on best practices during their cloud security technology journey. We believe Okta’s Solutions Engineers empathize with Customers and quickly discern their true technical needs by asking detailed, clarifying questions while presenting solutions that specifically address those needs. Okta Solution Engineers have the rare combination of technical acumen and business insight; in a career where you can utilize both. As a Solutions Engineer at Okta, you will further develop each of these skills by advising a diverse set of customers on the value they will gain by using Okta’s Identity Platform.

The Solutions Engineer Opportunity

Reporting to the Senior Manager of Solutions Engineers, the Solutions Engineer is a functional business consultant,  with a passion for technology and the advanced ability to develop, position and demonstrate product-specific solutions during sales cycles, while achieving quarterly and annual sales goals for an assigned territory.

What you’ll be doing 

• Work alongside the sales team as the technical and domain expert of a customer-facing sales team to help Customers understand the value of Okta’s solutions
• Understand customer challenges and business issues and provide product demonstrations to align our solutions with customer needs
• Answer product feature and technical questions from customers, partners and Okta colleagues
• Plan and deliver Proof Of Concepts for customers who have more complex use cases, collaborating with other Okta engineering teams as needed
• Provide feedback to product management about product enhancements that can address customer needs and provide additional value
• Share and learn best practices and re-usable assets with other Solutions Engineers to enhance the quality and efficiency of the team
• Stay current on competitive analysis and market differentiation
• Support marketing events including executive briefings, conferences, user groups, and trade shows
• At times, be asked to learn and lead your team as a subject matter expert (SME) with various product solutions and/or competitive knowledge

What you’ll bring to the role

• 3-5+ years pre-sales engineering experience.
• A passion to serve the Customer, demonstrated in a customer-facing role, such as consulting or support, but ideally in a pre-sales capacity.
• An ability to quickly communicate complex ideas around a technical topic, ideally on the fly, using a whiteboard.
• Deployed apps in cloud platforms: AWS, Azure, GCP, Vercel, etc.
• Experience with at least one standard network security protocol. (eg. OAuth, OAuth2, SAML, LDAP)
• Experience working with REST APIs, API Gateways, and SDKs
• Hands-on experience in one or more of the following areas: web (JavaScript, HTML, frontend frameworks) development, mobile (iOS, Android) development, backend (Java, C#, Node.js, Python, PHP, Ruby) development, IP-based real-time communications
• An understanding of core security concerns within a typical application. (password hashing, SSL/TLS, encryption at rest, XSS, XSRF)
• Exceptional communicator.
• Confident dispensing knowledge to a highly skilled and experienced audience, presenting to large rooms filled with experts in the field
• Territory management skills, including pipeline building and working with Sales counterparts to guide execution excellence
• Typically 25% travel.
• Bachelor's degree in Engineering, Computer Science, MIS or a comparable field is preferred.

You might also have (not mandatory):

• Hands-on experience with Generative AI or LLM technology such as LangChain, GenKit, LlamaIndex, etc.
• Experience integrating with microservices, data lakes, or customer data platforms.
• Developed ReBAC or Fine Grain Authorization models
• Diagramming experience for user journey flows, complex architecture diagrams, etc.

#LI-San Francisco

#LI-RZ

P24424_3330263

The Security Governance Team

If you want to be a part of a dynamic, forward-thinking Governance, Risk and Compliance organization focused on building a best-in-class, cutting edge governance program, come join the Security Governance Team at Okta. As a critical foundation of GRC, the Security Governance team’s mission is to provide the documentation, policy adherence, and advisory backbone needed to drive secure operations and behaviors at Okta and position the company as a global leader in security best practices. We are seeking a dedicated and detail-oriented Principal Data Security Engineer to join our team. The ideal candidate will drive Okta’s internal data security strategy and uplift capabilities for safeguarding sensitive information throughout the company.

The Role

The Principal Data Security Engineer will be the business owner of Okta’s data protection tool suite and will be responsible for envisioning, implementing, and maturing data security strategies across Okta, including enforcement of data retention, authoring and implementing data encryption and obfuscation minimums, establishing secure key management best practices, uplifting data handling controls and safeguards, and automating security workflows. This role demands a high level of technical expertise and deep experience with data security applications and services, such as Okta, Crowdstrike, and Palo Alto Networks. This role will work closely with a wide array of internal stakeholders, such as Data Loss Prevention (DLP) Engineering, Defensive Cyber Operations, Defensive Cyber Engineering, and Legal, as well as technology and cloud support teams. This role requires a thorough understanding of DLP technologies such as data security posture management (DSPM), endpoint detection and response (EDR), and cloud access security broker (CASB) as well as significant working experience in the data security and protection domain.

The right candidate will have experience operating in a mature security control environment, will have a strong background in managing mature data security and privacy functions in corporate settings, and will possess a proven track record of successfully implementing complex projects in cross-collaborative teams. The ideal Principal Data Security Engineer will be able to identify and drive appropriate data security strategy that mitigates Okta’s key security risks, including recommending enhancements such as compensating controls and other preventative measures.

The Principal Data Security Engineer will have strong familiarity with security compliance frameworks (e.g., NIST, ISO, PCI) and will be competent in summarizing complex scenarios for management review. If you are a self-starter who wants to make a difference in a global cloud security company, come help us lead the way.

What you'll be doing

• Serve as the business owner of Okta’s data protection tool suite
• Evaluation and implementation of security tools and services
• Design, establish, and implement the strategy for a multi-year data security maturity roadmap
• Identify patterns and trends in data loss incidents to enhance preventative and detective measures
• Collaborate with the Cyber Defense Team and Technology, Data & Intelligence (TDI) Team to realize data security controls within Okta’s data security technology stack
• Oversee and manage the development, implementation, and uplift of DLP rules
• Work closely with technology teams, Legal, Compliance, and other business units to ensure execution of comprehensive data protection strategies
• Provide clear and concise reports and documentation on data loss incidents and resolutions
• Ability to manage complex projects, including identifying dependencies and evaluating impact

What you'll bring to the role

• Bachelor’s degree in Information Security, Computer Science, or equivalent experience 
• 10+ years of experience in information security with a focus on data security and privacy
• Strong understanding of data protection principles and technologies
• Experience with network security, endpoint security, and cloud security solutions
• Certifications such as CISSP, CISA, CISM, or CDPSE are preferred
• Demonstrated experience working in commercial security roles aligned with security compliance frameworks (e.g., NIST, ISO, PCI)
• Experience in building productive relationships and driving collaboration with both technical and non-technical teams
• Clear ability to communicate the desired business outcomes and requirements to technologists building solutions
• Ability to operate effectively in a remote environment
• Self-starting, self-motivated, self-directed, and self-sufficient

Requirements

• Deep understanding of data security, data protection, and data privacy workstreams and related tooling (DSPM, DLP, CASB..etc)
• Demonstrated experience managing projects and data security tool implementations at a large/comparably sized company, ideally in a regulated industry; and/or Big 4 candidates with related engagement experience
• Strong security background; security certification preferred (e.g., CISA, CISM, CISSP, CDPSE)
• Bachelor’s degree or higher in cybersecurity or a related technical focus area and/or equivalent practical experience
• Strategic thinker with strong analytical and critical thinking skills
• Experience managing small teams and/or more junior team members is strongly preferred

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#LI-HYBRID

P16924_3342877

More broadly, Discord is about empowering people to find belonging in all kinds of communities, and those people trust us to keep their communications safe. Our Platform Security Engineering team protects the systems we use to create Discord, making the “secure way” the “easy way.”

We’re looking for a Staff Engineer to advance this mission through security expertise, software development, and operational excellence. In this technical leadership role, you’ll articulate and pursue the most leveraged opportunities to reduce security risk across Engineering, designing and building lovable “paved paths” for managing identities and access, shipping code, configuring cloud infrastructure, and operating services.

If you’re a security engineer who’s deeply curious, eager to own technically and socially complex projects, and excited to improve security and privacy at Discord, read on!

What you'll do

• Shape company-wide security strategy and lead software engineering projects on a highly-autonomous and horizontally-integrated team with a lot of leverage. This is a code-forward role!
• Develop and apply best-in-class secure baselines for cloud infrastructure.
• Secure first- and third-party software supply chains, from the dev environment through CI/CD and into production.
• Build and own identity and access management (IAM) systems that are user-friendly and promote least privilege.
• Manage infrastructure vulnerabilities while supporting rapid growth for Engineering.
• Consult on risk assessments, architectural designs, threat models, code reviews, and more—pragmatically balancing security with other business considerations.

Example projects

• Support IAM with scalable platform solutions (check out https://discord.com/blog/access-a-new-portal-for-managing-internal-authorization).
• Build tooling to prevent and address vulnerabilities across our infrastructure.
• Integrate service-to-service authentication and authorization into Discord’s internal developer platform.

What we look for

• 5+ years of experience building and operating production systems or infrastructure
• 5+ years of experience writing software in a general-purpose programming language (we mainly use Python and Rust)
• 4+ years of experience securing systems with millions of users
• Experience mentoring junior ICs and leading technical projects involving multiple engineers and spanning multiple quarters
• Experience designing and building software for customers (internal or external) beyond your immediate team
• Experience securing cloud environments (e.g. GCP, Cloudflare, AWS)
• Experience defining and orchestrating containers (e.g. via Kubernetes, Docker, Distroless, OCI)
• Familiarity with build and CI/CD technologies (e.g. Terraform, Bazel, Buildkite)
• Understanding of modern authentication and authorization concepts (e.g. RBAC, OAuth, Zero Trust network architectures, mTLS)

Bonus points if you have…

• Developed and debugged distributed systems atop GCP and Cloudflare
• Led complex migrations or risk management programs across an engineering organization
• A system to discover industry tools that can multiply your team’s impact
• Experience securing multi-cloud environments
• Built or operated a service mesh (e.g. Envoy, Istio)
• Managed and secured VMs or bare-metal hosts (e.g. Linux, Salt)

The US base salary range for this full-time position is $248,000 to $279,000 + equity + benefits. Our salary ranges are determined by role and level. Within the range, individual pay is determined by additional factors, including job-related skills, experience, and relevant education or training. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include equity, or benefits.

The Database Infrastructure team develops and operates all of Discord’s databases and data services. Those systems store the data of Discord's 200M+ monthly active users—including trillions of messages! We work across multiple areas: databases, disk storage and Rust-based data access services. We're a small team whose work has a huge impact on our company's success and ability to grow!

Some blog posts from the team:

• How Discord Indexes Trillions of Messages
• How Discord Stores Trillions of Messages
• How Discord Supercharges Network Disks for Extreme Low-Latency

You will:

• Build and operate large-scale, reliable and performant data systems with ScyllaDB, PostgreSQL, ElasticSearch, Linux and Rust.
• Collaborate with product and infrastructure teams to develop storage primitives enabling all of Discord.
• Exercise "First Principles Thinking" to always deliver what matters most to our users.
• Work with a talented team of engineers who have built one of the largest communication platforms in the world.

You have:

• 2-4 years of experience with building backend infrastructure
• Ability to troubleshoot, debug, and test complex systems in a live, production environment
• Strong operating systems, distributed systems, and concurrency control fundamentals
• Proficiency with at least one statically-typed programming language: e.g. Rust, Go, Java, C, C++
• Comfortable working in fast paced environments

Bonus Points:

• Experience with highly-available and distributed databases: e.g. ScyllaDB, Cassandra, Vitess, Postgres w/HA, etc.
• Experience with Rust
• Knowledge of DevOps tools like Salt, Terraform or Kubernetes

More things that might interest you:

• We’ve tackled a lot of fascinating technical challenges over the years, and blogged about it regularly:
  • How Discord Stores Trillions of Messages
  • 25% or 6 to 4: The 11/6/23 Authentication Outage
  • How Discord Supercharges Network Disks for Extreme Low Latency
  • Why Discord is switching from Go to Rust
  • How Discord Indexes Billions of Messages
  • How Discord Stores Billions of Messages
  • How Discord Indexes Trillions of Messages
• One of our team members even wrote a book on ScyllaDB
• We present at conferences:
  • How Discord Indexes Trillions of Messages by Vicki Niu
  • How Discord Performs Database Upgrades at Scale by Ethan Donowitz

The US base salary range for this full-time position is $160,000 to $180,000 + equity + benefits. Our salary ranges are determined by role and level. Within the range, individual pay is determined by additional factors, including job-related skills, experience, and relevant education or training. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include equity, or benefits.

We're looking for a Staff Software Engineer to join our Mobile Architecture team to help lead the technical vision for Discord's mobile experience across iOS and Android.

You'll work on performance-critical systems using React Native, focusing on delivering an exceptional mobile experience that feels instantaneous. As a Staff Engineer, you'll drive technical direction, mentor other engineers, and tackle the most complex challenges facing our mobile platforms. Our goal is to build products that our customers absolutely love—products that are functional, reliable, usable, and delightful, with performance as a core feature.

What you'll be doing

• Lead technical direction and architecture decisions for Discord's mobile platform, particularly around React Native optimization and performance
• Build and optimize foundational mobile libraries and infrastructure that power Discord's mobile apps on iOS and Android
• Drive solutions to challenging performance problems including Time-to-Interactive (TTI), memory optimization, crash reduction, and jank elimination
• Lead React Native infrastructure initiatives and upgrades, helping maintain Discord's position at the forefront of RN adoption
• Architect scalable mobile solutions using React Native, TypeScript/JavaScript, with native development in Swift/Kotlin when needed for performance-critical paths
• Collaborate with cross-functional teams and influence technical decisions across the organization
• Mentor engineers on the team and help elevate the technical capabilities of the mobile organization
• Set best practices and engineering standards for mobile development at Discord

What you should have

• 8+ years experience as a software engineer working on large, cross-platform software projects.
• 1+ years experience as a software engineer working on a production React Native application at scale, and/or React Native foundational libraries.
• Experience writing clean, maintainable code and establishing engineering best practices
• Problem-solving mindset with ability to debug complex issues across the stack
• Passion for creating excellent user experiences and attention to performance details
• Excellent communication skills with ability to influence technical decisions and build consensus
• Demonstrated ability to mentor and guide other engineers

Bonus Points

• Native mobile development experience (iOS with Swift/Objective-C or Android with Kotlin/Java)
• Experience with mobile performance optimization and profiling tools
• Background in build and release processes for mobile apps
• Active participation in the React or React Native communities
• Experience optimizing applications for varying network conditions or international markets

Candidates must reside in or be willing to relocate to the San Francisco Bay Area (Alameda, Contra Costa, Marin, Napa, San Francisco, San Mateo, Santa Clara, Solano, and Sonoma counties). Relocation assistance may be available.

The US base salary range for this full-time position is $248,000 to $279,000 + equity + benefits. Our salary ranges are determined by role and level. Within the range, individual pay is determined by additional factors, including job-related skills, experience, and relevant education or training. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include equity, or benefits.

Discord's Infrastructure organization is the backbone of everything our users experience. From the real-time delivery of 40M+ events per second to storing trillions of messages, our systems power the connections between 200M+ active users. As a Principal Engineer in this organization, you'll operate across our infrastructure teams to shape our technical vision and keep Discord running reliably at massive scale.

This is a role for someone who thrives at the intersection of deep technical expertise and organizational leadership. You'll contribute to the long-term infrastructure roadmap, tackle our most complex and ambiguous technical challenges, and ensure Discord's systems remain reliable, efficient, and ready for the next 200M users.

You will:

• Lead Discord's most critical infrastructure initiatives.
• Define and drive the technical vision and multi-year roadmap for Infrastructure, aligning teams around shared architectural principles.
• Partner with leadership across the company to ensure infrastructure capabilities enable product innovation.
• Design systems that balance reliability, cost-efficiency, and scalability.
• Mentor and grow senior engineers across multiple teams, raising the technical bar organization-wide.
• Represent Discord's engineering culture externally through blog posts, conference talks, and open source contributions.

You have:

• 10+ years of experience building and operating large-scale distributed systems.
• Experience architecting complex infrastructure serving hundreds of millions of users with strict uptime requirements.
• Deep expertise in backend systems, databases, and the operational realities of running systems at scale.
• Ability to navigate significant ambiguity and make sound technical decisions that hold up over time.
• Experience influencing technical direction across many teams without direct authority.
• Strong communication skills and you can articulate complex technical concepts to any audience and build alignment around your vision.
• A passion for mentorship and raising the capabilities of engineers around you.

Bonus points:

• Experience with Rust, Elixir, or Python in production systems.
• Expertise with distributed databases like ScyllaDB, Cassandra, or similar.
• Expertise building large scale chat products.
• History of open source contributions.

Things that might interest you:

• Our languages: Rust, Elixir, and Python.
• Our databases: ScyllaDB, Postgres and Elasticsearch.
• Our systems are deployed in Google Cloud.
• Our infrastructure teams shared many blog posts over the years. Some highlights:
• How Discord Stores Trillions of Messages
• Maxjourney: Pushing Discord’s Limits with a Million+ Online Users in a Single Server
• Modern Image Formats at Discord: Supporting WebP and AVIF
• How Discord Supercharges Network Disks for Extreme Low Latency
• Using Rust to Scale Elixir for 11 Million Concurrent Users
• Why Discord is switching from Go to Rust
• One of our engineers literally wrote the book on ScyllaDB.
• We open sourced some of our work, like our media processing library lilliput, or various Elixir utilities like manifold, sorted_set_nif and more.

Candidates must reside in or be willing to relocate to the San Francisco Bay Area (Alameda, Contra Costa, Marin, Napa, San Francisco, San Mateo, Santa Clara, Solano, and Sonoma counties). For this role, the hiring manager would like folks to be in the office 1 day a week. Relocation assistance may be available.

The US base salary range for this full-time position is $400,000 to $500,000 + equity + benefits. Our salary ranges are determined by role and level. Within the range, individual pay is determined by additional factors, including job-related skills, experience, and relevant education or training. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include equity, or benefits.

We are looking for an experienced Senior Enterprise Security Engineer reporting to the Engineering Manager of Enterprise Security. In this role, you will implement and maintain Discord’s enterprise environment, with a sharp focus on security and privacy. Are you passionate about balancing strong security with seamless operations? We’d love to meet you. We’re looking for someone who brings strong technical skills and genuinely cares about protecting data and keeping systems secure. If you love solving challenging security problems, get energized by learning new things, and want to help make Discord even better, come join our security team on this journey.

What You'll Be Doing

• Design and implement security measures to protect company data from unauthorized access, disclosure, and misuse.
• Partner closely with the Detection & Response team to maintain full visibility into enterprise access, networks, and devices.
• Deploy and manage security tools across Discord's corporate infrastructure.
• Establish security standards that provide strong protection while enabling smooth workflows.
• Develop and deliver security awareness training for employees.
• Shape and enforce Discord's IT and security policies.
• Build secure, sustainable environments using modern principles like "secure by design" and “zero-trust” network architecture, without relying on traditional VPN setups.
• Foster a security-conscious culture by guiding employees on data protection best practices.
• Partner cross-functionally with IT, Engineering, Workplace, and other teams to achieve security objectives

What you should have

• 3+ years of experience in an Enterprise Security role as a senior individual contributor or lead.
• 3+ years of experience programming in at least one general purpose programming language (e.g., Python, Go, Rust).
• Experience securing, monitoring, and managing Identity and Access Management systems (we use Okta, Kolide, Teleport, and Cloudflare Access).
• Deep understanding of data security in enterprise environments.
• Experience working in “zero-trust” network architecture environments.
• Experience deploying and managing Mobile Device Management, Endpoint Detection and Response, and device trust tooling.
• Knowledge and practical application of IT security best practices.
• A great sense of empathy.

Bonus Points

• Experience working with SIEMs (we use Panther)
• Hands on experience with Google Cloud.
• Hands on experience with Cloudflare.
• Hands-on experience managing a primarily macOS and ChromeOS environment with a smaller Windows footprint. We used Jamf & Intune for our endpoint management and Crowdstrike & Jamf for endpoint detections and response (EDR).

Candidates must reside in or be willing to relocate to the San Francisco Bay Area (Alameda, Contra Costa, Marin, Napa, San Francisco, San Mateo, Santa Clara, Solano, and Sonoma counties). Relocation assistance may be available. For this role, the Hiring Manager would like folks to be in the office 1-2 days a week. The US base salary range for this full-time position is $196,000 to $220,500 + equity + benefits. Our salary ranges are determined by role and level. Within the range, individual pay is determined by additional factors, including job-related skills, experience, and relevant education or training. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include equity, or benefits.

We are looking for a Senior Machine Learning Engineer to join our Revenue ML team at Discord. This role sits at the intersection of Discord's two most strategic revenue pillars — our growing 1P Shop and our newly launched Game Commerce platform, which connects players to in-game items from major publishers like Marvel Rivals, Fortnite, Valorant, and more. You'll be the founding ML voice for commerce discovery and personalization, building systems from the ground up that power recommendations, social commerce mechanics, and marketing targeting across both first-party and third-party storefronts.

This is a high-impact, high-leverage role. Discord's social platform gives us a fundamentally differentiated commerce advantage — deep social graphs, fan communities, and native gaming context — and you will be the person who turns that into ML-powered products that drive meaningful GMV growth.

What You'll Be Doing:

• Architect and own the ML foundations for commerce discovery: user, item, and interaction embeddings that power personalized recommendations across shop surfaces (homepage, cart, post-purchase, wishlist, and more).
• Design and deploy scalable real-time recommendation and ranking systems that support a growing catalog of 1P and 3P items across heterogeneous game publisher inventories.
• Build ML-powered marketing targeting systems that identify the right users for the right campaigns — new buyer discounts, drop campaigns, weekly deals, and seasonal promotions — driving conversion without conditioning users to wait for discounts.
• Leverage Discord's unique social graph to build social commerce ML: gifting recipient prediction, group buying conversion modeling, and friend-group recommendations that differentiate Discord from traditional game storefronts.
• Drive deep learning A/B testing infrastructure and model monitoring to translate experimentation results into actionable product decisions.
• Partner closely with Shop, Game Commerce, Revenue Infra, ML Infra and Data Engineering teams to define ML requirements, surface integration points, and influence the commerce roadmap.

What You Should Have:

• 4+ years of experience as a Machine Learning Engineer, with a track record of owning and shipping recommendation or personalization systems end-to-end.
• Deep expertise in applied deep learning — particularly embedding models, two-tower architectures, and retrieval/ranking systems for e-commerce or content recommendation.
• Strong proficiency in Python and deep learning frameworks (PyTorch preferred).
• Experience building and operating real-time ML serving infrastructure at scale, including feature stores, model serving, and A/B testing frameworks.
• Demonstrated ability to work in early-stage, high-ambiguity environments and build ML systems from the ground up, not just improve existing ones.
• Experience translating ML evaluation metrics and experiment results into product roadmap decisions and business impact.
• Strong cross-functional instincts — you're comfortable partnering with product, engineering, data science, and business stakeholders to align on priorities and drive execution.

Bonus Skills:

• Experience applying graph ML or social network signals (social affinities, community behavior) to recommendation or personalization problems.
• Familiarity with personalized marketing systems: lifecycle targeting, audience segmentation, and campaign optimization.
• Familiarity with loyalty, rewards, or incentive pro

The US base salary range for this full-time position is $220,000 to $247,500 + equity + benefits. Our salary ranges are determined by role and level. Within the range, individual pay is determined by additional factors, including job-related skills, experience, and relevant education or training. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include equity, or benefits.

Who We Are:
The Machine Learning Platform team at Reddit is a high-impact team that owns the infrastructure that powers recommendations, content discovery, user and content quantification, while directly impacting other teams such as Growth, Ads, Feeds, and Core Machine Learning teams.

What You’ll Do:
As a Staff Machine Learning Engineer, you will lead the development of a large-scale ML Inference Platform at Reddit.

• Lead the end-to-end design, implementation, and maintenance of a highly available, low-latency GPU-based model serving system for search, ranking, and LLMs supporting Millions of QPS.
• Design and develop ML and Generative AI systems in cloud-based production environments on Kubernetes at scale.
• Rapidly develop prototypes and develop a high-performance feature hydration and processing system as a part of the inference stack - including routing, caching, and batching.
• Lead a unified GPU model export framework to support converting trained models into optimized GPU inference models.
• Strong understanding of real-time ML observability to track feature/model performance.
• Experience working with LLM serving online at scale.
• Built an E2E inference performance benchmarking framework
• Deep Understanding of multi-cluster compute environment and network topology that is specific to ML inference use cases.

Who You Might Be:

• 7+ years of experience in ML Engineering, AI Platform Engineering, or Cloud AI Deployment roles.
• Have experience operating orchestration systems such as Kubernetes at scale
• Deep experience with cloud-based technologies for supporting an ML platform, including tools like AWS, Google Cloud Storage, infrastructure-as-code (Terraform), and more
• Proficiency with the common programming languages and frameworks of ML, such as Go, Python, etc.
• Excellent communication skills with the ability to articulate technical AI concepts to non-technical stakeholders
• Strong focus on scalability, reliability, performance, and ease of use. You are an undying advocate for platform users and have a deep intuition for the genAI product development lifecycle.
• Strong knowledge of model serving, inference pipelines, monitoring, and observability for AI systems is a plus
• Strong proficiency in Python and deep experience with modern AI/ML frameworks (Triton, Dynamo, vLLM, Pytorch)

Benefits:

• Comprehensive Healthcare Benefits and Income Replacement Programs
• 401k with Employer Match
• Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
• Family Planning Support
• Gender-Affirming Care
• Mental Health & Coaching Benefits
• Flexible Vacation & Paid Volunteer Time Off
• Generous Paid Parental Leave 

The Role: 

Forge’s software engineering team is passionate about innovation and building scalable solutions that drive liquidity and growth in the private market. Our teams leverage a broad range of new technologies and are well-versed in delivering high-quality, innovative solutions. We thrive on moving fast, delivering value, and living our values of being bold, humble, and accountable.

We are seeking passionate engineers with at least 8+ years of experience delivering innovative software solutions that are scalable, secure, and easy to maintain. The ideal candidate thrives in team settings, enjoys collaboration and mentoring engineers, and focuses on delivering value and making an impact.

Location: This position is remote in Denver, CO. We intend to open an office in Denver and once we do, we will require hybrid attendance onsite at least 9 days each month.:

• Design, implement, and maintain web applications with customer domain-specific business logic
• Communicate with stakeholders, including Architects, Tech Leads, Product, and Design teams to deliver customer and business value
• Mentor junior engineers and guide the team on internal/external frameworks, best practices, and new technologies
• Develop concise, detailed, and articulate technical documentation
• Leverage Agile and Lean practices
• Lead a workstream, partner with Product on requirements, define technical requirements, and plan actionable tasks
• Design, build, and maintain automated tests (unit and integration as needed) to ensure high code quality
• Support healthy system operations and ensure high availability

Qualifications:

• Bachelor’s degree in Computer Science, Engineering, or equivalent experience
• 8+ years of software engineering experience
• Experience as a technical lead for a product engineering team
• Expertise building APIs with C# and .NET
• Experience with event-driven systems (Kafka, RabbitMQ, or similar)
• Experience with CQRS, Event Sourcing, or similar architectural patterns
• Strong knowledge of SQL / relational databases
• Experience contributing to and interpreting system design
• Proven track record of teamwork and delivery
• Experience in fintech or financial services, including familiarity with regulatory considerations

Preferred Skills (Nice-to-Have)

• Experience with KYC (Know Your Customer) workflows
• Experience with multiple server-side programming languages
• Experience with TDD (Test Driven Development) or DDD (Domain Driven Development)
• Experience with Marten (Event Store DB)
• Experience with CI/CD pipelines and deployment processes
• Experience building and scaling systems to millions of users (text truncated in original)

For residents of Denver, CO the annual salary range for this role is $189,000-$215,000+ annual bonus. Final offers may vary from the amount listed based on geography, candidate experience and expertise, bonus, and other factors

The Role: 

Forge’s software engineering team is passionate about innovation and building scalable solutions that drive liquidity and growth in the private market. Our teams leverage a broad range of new technologies and are well-versed in delivering high-quality, innovative solutions. We thrive on moving fast, delivering value, and living our values of being bold, humble, and accountable.

We are seeking passionate engineers with at least 8+ years of experience delivering innovative software solutions that are scalable, secure, and easy to maintain. The ideal candidate thrives in team settings, enjoys collaboration and mentoring engineers, and focuses on delivering value and making an impact.

Location: This role requires 2-3 days a week in office in Soho, NY.

Responsibilities:

• Design, implement, and maintain web applications with customer domain-specific business logic
• Communicate with stakeholders, including Architects, Tech Leads, Product, and Design teams to deliver customer and business value
• Mentor junior engineers and guide the team on internal/external frameworks, best practices, and new technologies
• Develop concise, detailed, and articulate technical documentation
• Leverage Agile and Lean practices
• Lead a workstream, partner with Product on requirements, define technical requirements, and plan actionable tasks
• Design, build, and maintain automated tests (unit and integration as needed) to ensure high code quality
• Support healthy system operations and ensure high availability

Qualifications:

• Bachelor’s degree in Computer Science, Engineering, or equivalent experience
• 8+ years of software engineering experience
• Experience as a technical lead for a product engineering team
• Expertise building APIs with C# and .NET
• Experience with event-driven systems (Kafka, RabbitMQ, or similar)
• Experience with CQRS, Event Sourcing, or similar architectural patterns
• Strong knowledge of SQL / relational databases
• Experience contributing to and interpreting system design
• Proven track record of teamwork and delivery
• Experience in fintech or financial services, including familiarity with regulatory considerations

Preferred Skills (Nice-to-Have)

• Experience with KYC (Know Your Customer) workflows
• Experience with multiple server-side programming languages
• Experience with TDD (Test Driven Development) or DDD (Domain Driven Development)
• Experience with Marten (Event Store DB)
• Experience with CI/CD pipelines and deployment processes
• Experience building and scaling systems to millions of users (text truncated in original)

For residents of New York, New York the annual salary range for this role is $209,000-$240,000+ annual bonus. Final offers may vary from the amount listed based on geography, candidate experience and expertise, bonus, and other factors

The Role: 

Forge’s software engineering team is passionate about innovation and building scalable solutions that drive liquidity and growth in the private market. Our teams leverage a broad range of new technologies and are well-versed in delivering high-quality, innovative solutions. We thrive on moving fast, delivering value, and living our values of being bold, humble, and accountable.

We are seeking passionate engineers with at least 8+ years of experience delivering innovative software solutions that are scalable, secure, and easy to maintain. The ideal candidate thrives in team settings, enjoys collaboration and mentoring engineers, and focuses on delivering value and making an impact.

Location: This role requires 2-3 days a week in office in San Francisco, CA.

Responsibilities:

• Design, implement, and maintain web applications with customer domain-specific business logic
• Communicate with stakeholders, including Architects, Tech Leads, Product, and Design teams to deliver customer and business value
• Mentor junior engineers and guide the team on internal/external frameworks, best practices, and new technologies
• Develop concise, detailed, and articulate technical documentation
• Leverage Agile and Lean practices
• Lead a workstream, partner with Product on requirements, define technical requirements, and plan actionable tasks
• Design, build, and maintain automated tests (unit and integration as needed) to ensure high code quality
• Support healthy system operations and ensure high availability

Qualifications:

• Bachelor’s degree in Computer Science, Engineering, or equivalent experience
• 8+ years of software engineering experience
• Experience as a technical lead for a product engineering team
• Expertise building APIs with C# and .NET
• Experience with event-driven systems (Kafka, RabbitMQ, or similar)
• Experience with CQRS, Event Sourcing, or similar architectural patterns
• Strong knowledge of SQL / relational databases
• Experience contributing to and interpreting system design
• Proven track record of teamwork and delivery
• Experience in fintech or financial services, including familiarity with regulatory considerations

Preferred Skills (Nice-to-Have)

• Experience with KYC (Know Your Customer) workflows
• Experience with multiple server-side programming languages
• Experience with TDD (Test Driven Development) or DDD (Domain Driven Development)
• Experience with Marten (Event Store DB)
• Experience with CI/CD pipelines and deployment processes
• Experience building and scaling systems to millions of users (text truncated in original)

For residents of San Francisco, CA the annual salary range for this role is $209,000-$240,000 annual bonus. Final offers may vary from the amount listed based on geography, candidate experience and expertise, bonus, and other factors

The Problems You'll Solve

At Carta, our employees set out on a mission to unlock the power of equity ownership for more people in more places. We believe that the problems we solve today unlock the opportunities of tomorrow.  As a Senior Site Reliability Engineer, you’ll work to: 

• Build and scale our internal  platform offerings (compute, storage and networking services) to ensure the reliability, and performance of our applications.
• Design and implement monitoring, alerting, and incident response systems.
• Collaborate with application software engineers (as needed) to guide their design and ensure it scales for what Carta needs in the long run.
• Act as an agent of change and push boundaries to incrementally improve our systems as we expand globally.

The Team You'll Work With

You’ll be joining the Infrastructure Engineering team at Carta. The Infrastructure Engineering team is responsible for providing secure, reliable, scalable and performant infrastructure to Carta’s customers and developers.

We are Software and Infrastructure Engineers who specialize in cloud computing, networking, systems design and architecture, storage, real time data telemetry, associated automation, tooling and processes. We possess a breadth and depth of knowledge about Carta’s infrastructure and industry wide best practices, that translates into leverage for Carta’s business.

About You

You are excited by the idea of developing scalable, reliable and efficient infrastructure that powers the entire company. We’re looking for strong communicators who enjoy collaborating to solve complex problems. Familiarity with infrastructure best practices on performance, reliability and security and their associated tools is appreciated. 

Our stack is Python, Java, Terraform, gRPC, Docker, Kubernetes, Postgres, running on AWS. Come join us! 

• Cloud Platforms: Extensive experience with cloud services such as AWS, Google Cloud Platform, or Azure, including services like EC2, S3, RDS, and Lambda. Experience with Kubernetes or other container orchestration is preferred!
• Infrastructure as Code (IaC): Proficient in using tools such as Terraform, Ansible, or CloudFormation for managing and provisioning cloud infrastructure.
• Networking: Experience with networking concepts and tools, including Container Network Interface (CNI), Network policy implementations. Experience with proxies and service mesh is a big plus. 
• Monitoring and Observability: Strong knowledge of monitoring tools and practices, such as Prometheus, Grafana, ELK Stack, or Datadog, and the ability to set up and maintain comprehensive monitoring solutions.
• Software Development: Proficiency in Python, with the ability to write efficient, maintainable, and scalable code.
• API Services: Experience in designing, deploying, and maintaining API services, with a strong understanding of RESTful and/or GraphQL API design principles.
• AI Fluency: You use AI tools in your own day-to-day work in addition to enabling others. You're comfortable building agents to reduce toil and expect this to be a normal part of how you operate.
• Experience operating CI/CD and its associated best practices is also appreciated though not essential.

Salary

Carta’s compensation package includes a market competitive salary, equity for all full time roles, exceptional benefits, and, for applicable roles, commissions plans. Our minimum cash compensation (salary + commission if applicable) range for this role is: 

• $181,688 - $213,750 in Seattle, WA
• $191,250 - $225,000 in Santa Clara, CA  or San Francisco, CA

Final offers may vary from the amount listed based on geography, candidate experience and expertise, and other factors.

The financial industry is growing at a record pace, but our data providers are still stuck in the past — with cumbersome onboarding processes, complicated APIs, slow infrastructure, and expensive licensing costs.

Databento is the next generation market data provider — with the radical idea that you should only pay for the data that you use. We power the world's largest finance and fintech institutions and lower the barrier of entry for small startups, gaining over 4,000 users during our first year of launch. Our team brings former experience at the world's leading quantitative firms, including Two Sigma, Flow Traders, Tower Research, PDT Partners, SIG, and more.

We offer health, dental, disability, and life insurance benefits, as well as 401(k) matching for full-time employees. We accommodate 100% remote work, with teammates living around the globe and paid in their local currency.

Responsibilities

• Systems and network configuration.
• Bare-metal and containerized application deployment.
• Maintaining large storage clusters.
• Instrumenting performance measurement and alerts.
• Improving systems automation and tooling.
• On-call support.
• Coordinating bulk data delivery to customers and vendor partners.
• Occasional physical infrastructure deliveries and systems provisioning.

Required qualifications

• Strong Linux knowledge.
• Experience with systems configuration and provisioning (PXE, Puppet, and Ansible preferred; Terraform).
• Understanding of storage concepts (RAID, LVM, popular filesystems, distributed storage).
• Basic networking (OSI model, IP protocols, switching/routing).
• Ability to code in Python and write shell scripts.
• DevOps/GitOps mindset.
• Prior internship experience or 2+ years in full-time systems engineering or infrastructure roles.
• Bachelor’s degree in Computer Science or a related field.
• Candidates must be authorized to work in the U.S.; H-1B visa sponsorship is not available.

Nice-to-haves

• Experience with distributed storage systems (e.g., Ceph).
• Customer support experience and strong problem-solving abilities.
• Prior experience at a trading or fintech firm, or a strong interest in learning fintech.
• Database administration (MySQL, ClickHouse, Redis).
• Cloud engineering basics (AWS, GCP — compute, storage).
• Virtualization and compute workloads (Proxmox, Docker, Kubernetes, HTCondor).
• Systems and network tuning.
• Monitoring and alerting (Prometheus, Grafana, Alertmanager, Loki).
• Ability to travel to data centers in New Jersey or Boston on short notice (within one week).

Earth Station Engineer  

As an Earth Station Operations Engineer, you will play a key role in the operation, monitoring, and maintenance of satellite earth stations and supporting infrastructure. Leveraging your technical expertise and operational experience, you will ensure reliable, safe, and compliant satellite communications. This includes supporting 24/7 global operations, diagnosing and resolving issues, and coordinating closely with internal teams, vendors, and external partners. 

If you enjoy cross-functional collaboration, solving complex problems, and operating in a fast-paced, mission-critical environment, this role is a strong fit.

Role 

• Provide end-to-end technical oversight and operational support for earth stations, including RF/IF chains, antenna systems, tracking, and environmental systems
• Monitor operations, perform station bring-ups, execute link activations, implement configuration changes, and drive performance optimization
• Troubleshoot and resolve anomalies; lead fault isolation across ground, mission, space, and network segments through resolution and closure
• Plan and execute preventive and corrective maintenance, including fieldwork, remote support, and vendor coordination
• Collaborate cross-functionally with satellite operations, engineering, IT, network, payload, software, and program teams across both nominal and anomaly conditions
• Develop and maintain SOPs, MOPs, contingency procedures, and operational documentation; ensure configuration control and system accuracy
• Build and maintain tools and dashboards for telemetry, trending, and system health monitoring
• Document incidents, root cause analyses, corrective actions, and lessons learned; communicate status, risks, and escalations to stakeholders
• Support testing, commissioning, and acceptance of new stations, upgrades, and system changes; participate in shift and on-call rotations
• Ensure compliance with regulatory, safety, and customer requirements while driving improvements in reliability, automation, efficiency, and scalability

Requirements 

• Bachelor’s degree in engineering (or related field), or 3+ years of relevant experience in earth station operations
• Experience with earth station systems, including antennas, link budgets, and RF front-/back-end equipment
• Hands-on experience with antenna operations, calibration, diagnostics, and monitoring
• Proficiency with RF test equipment (e.g., spectrum analyzers, signal generators) and RF troubleshooting
• Experience working in 24/7 or on-call environments; strong organizational skills, attention to detail, and sense of urgency
• Strong written and verbal communication skills; ability to operate effectively in fast-paced environments
• Willingness to travel (~20%) and ability to obtain a security clearance
• Physically capable of fieldwork (lifting, climbing, standing, bending, etc.)

Bonus

• Experience working in an Earth Station Operations Center
• Hands-on experience with ground systems (e.g., CPI, Kratos), including antenna control and tracking systems
• Working knowledge of networking (Ethernet, IP, TCP) and regulatory frameworks (FCC, ITU, local authorities)
• Experience with scripting or software tools for automation and monitoring

We are looking for a Corporate Security Engineer to grow our rapidly expanding Security team here at Asana. You will be leading initiatives to help keep Asana’s Corporate environment and users safe.

The security team is responsible for protecting Asana’s employees, users, and customers. We are a team of security engineers and risk and compliance practitioners who build innovative safeguards to ensure that our data is protected against threats and that we comply with legal, regulatory, and customer requirements. We collaborate closely with teams across the organization to foster a culture of security throughout our product and operations.

This role is based in our San Francisco office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do and the teams with which you partner. If you're interviewing for this role, your recruiter will share more about the in-office requirements.

What you’ll achieve:

• Lead initiatives across key security domains, including Endpoint Security, SaaS Security Posture Management (SSPM), Identity & Access Management (IAM), Identity Governance, and data-loss prevention
• Collaborate closely with IT, engineering, and business stakeholders to integrate security tools, policies, and processes into corporate systems and workflows, enabling secure-by-design implementations
• Design and build automation scripts and tools to streamline security workflows, collect actionable metrics, and enforce security policies at scale.
• Develop and implement strategies and tooling for Data Loss Prevention (DLP) and the mitigation of insider risks within Asana.
• Partner with our Incident Manager and provide subject matter expertise for incident response. 

About you:

• 4 years experience in a Corporate Security or IT Security
• Familiarity with Identify and Access Management, Authentication & Authorization, Endpoint management, and Network Security Controls.
• Strong understanding of security concepts including zero trust architecture, threat modeling, security frameworks (SOC 2, ISO 27001) and CIS Controls. 
• Experience in implementing Data Loss Prevention tooling and insider risk programs. 
• Some experience writing and maintaining scripts in at least one language such as Python.
• Experience with Okta, Google Workspace, osQuery and EDR solutions. 
• Demonstrates curiosity about AI tools and emerging technologies, with a willingness to learn and leverage them to enhance productivity, collaboration, or decision-making

At Asana, we're committed to building teams that include a variety of backgrounds, perspectives, and skills, as this is critical to helping us achieve our mission. If you're interested in this role and don't meet every listed requirement, we still encourage you to apply.

What we’ll offer:

Our comprehensive compensation package plays a big part in how we recognize you for the impact you have on our path to achieving our mission. We believe that compensation should be reflective of the value you create relative to the market value of your role. To ensure pay is fair and not impacted by biases, we're committed to looking at market value which is why we check ourselves and conduct a yearly pay equity audit.

For this role, the estimated base salary range is between $194,000 - $220,000. The actual base salary will vary based on various factors, including market and individual qualifications objectively assessed during the interview process. The listed range above is a guideline, and the base salary range for this role may be modified.

In addition to base salary, your compensation package may include additional components such as equity, sales incentive pay (for most sales roles), and benefits. If you're interviewing for this role, speak with your Talent Acquisition Partner to learn more about the total compensation and benefits for this role.

We strive to provide equitable and competitive benefits packages that support our employees worldwide and include:

• Mental health, wellness & fitness benefits
• Career coaching & support
• Inclusive family building benefits
• Long-term savings or retirement plans
• In-office culinary options to cater to your dietary preferences 

These are just some of the benefits we offer, and benefits may vary based on role, country, and local regulations. If you're interviewing for this role, speak with your Talent Acquisition Partner to learn more about the total compensation and benefits for this role.

#LI-Hybrid #LI-AA1

The Adoption Group is focused on helping new users discover the full value of Asana in their very first moments with the product. Our group moves rapidly and pivots as needed, building zero-to-one product experiences, defining new AI functionality in customer onboarding, and optimizing for maximum customer and business impact. We make it easier for users to explore, understand, and adopt the product — turning curiosity into long-term engagement.

We're looking for an experienced tech lead or staff engineer to join as a Group Tech Lead for our Adoption teams. This role will report to the Engineering Director of the Adoption group and have impact across multiple teams.

At Asana, Group Tech Leads are responsible for the technical execution, culture, quality, and long-term engineering strategy of multiple teams. They drive complex projects, ensure high quality and high velocity execution, set technical direction, mentor other tech leads, and partner with cross-functional and cross-organizational stakeholders. They carry a lot of technical context and authority and can seamlessly collaborate across multiple teams. 

This role is based in our San Francisco office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do and the teams with which you partner. If you're interviewing for this role, your recruiter will share more about the in-office requirements.

What you’ll achieve:

• Set long-term technical strategy for the Adoption Group along with other engineering leaders
• Design, scope, and implement novel product experiences and scalable systems focused on user activation and adoption
• Plan, and execute large projects that require involvement from multiple engineering teams.
• Foster an engineering culture of high velocity, innovation, and business impact
• Strengthen experience as a cross functional engineering leader

About you:

• 6+ years working in fast-paced, high growth environments
• Experience leading large cross-team projects
• Ability to onboard quickly onto various systems, and support cross-functional work
• Demonstrates curiosity about AI tools and emerging technologies, with a willingness to learn and leverage them to enhance productivity, collaboration, or decision-making
• Track record of mentoring and growing other engineers

At Asana, we're committed to building teams that include a variety of backgrounds, perspectives, and skills, as this is critical to helping us achieve our mission. If you're interested in this role and don't meet every listed requirement, we still encourage you to apply.

What we’ll offer:

Our comprehensive compensation package plays a big part in how we recognize you for the impact you have on our path to achieving our mission. We believe that compensation should be reflective of the value you create relative to the market value of your role. To ensure pay is fair and not impacted by biases, we're committed to looking at market value which is why we check ourselves and conduct a yearly pay equity audit.

For this role, the estimated base salary range is between $248,000 - $307,500. The actual base salary will vary based on various factors, including market and individual qualifications objectively assessed during the interview process. The listed range above is a guideline, and the base salary range for this role may be modified.

In addition to base salary, your compensation package may include additional components such as equity, sales incentive pay (for most sales roles), and benefits. If you're interviewing for this role, speak with your Talent Acquisition Partner to learn more about the total compensation and benefits for this role.

We strive to provide equitable and competitive benefits packages that support our employees worldwide and include:

• Mental health, wellness & fitness benefits
• Career coaching & support
• Inclusive family building benefits
• Long-term savings or retirement plans
• In-office culinary options to cater to your dietary preferences 

These are just some of the benefits we offer, and benefits may vary based on role, country, and local regulations. If you're interviewing for this role, speak with your Talent Acquisition Partner to learn more about the total compensation and benefits for this role.

#LI-Hybrid

Asana changes the way people work together. Asana is the single source of truth for the planning, organizing, and communicating among those you work with—from entire companies to personal projects. Our vision is for every group of people working together to organize themselves using Asana, in much the same way that email has become a universal communication tool.

Asana is building a world-class Revenue Accounting team to help achieve our operational and financial goals while embodying our company values. You will be responsible for laying the foundation for a fast-growing company with a significant vision for how to change the world.

This role is based in our San Francisco office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do and the teams with which you partner. If you're interviewing for this role, your recruiter will share more about the in-office requirements.

What you’ll achieve

• Lead and oversee the end-to-end operations of Order Management, Finance Customer Support, Billing, and Provisioning teams to ensure high performance and accuracy.
• Develop and implement scalable processes, policies, and systems to streamline workflows and support global company growth.
• Drive cross-functional engagement with Sales, Finance, Product, and Engineering to align strategies and resolve complex operational challenges.
• Project manage key systems implementations, including CRM updates, Billing platforms, and automation tools to enhance team adoption.
• Utilize data-driven insights to optimize service delivery and improve key performance metrics like billing accuracy and resolution times.
• Continuously analyze and re-engineer processes using industry best practices to enhance the customer experience and operational efficiency.
• Manage resource planning, talent development, and retention, fostering a culture of accountability and continuous improvement within your pillars.
• Ensure strict compliance with financial regulations and corporate policies related to billing and customer support operations.

About you

• 8+ years of leadership experience within billing, order management, and customer support functions, preferably in a SaaS or high-growth technology environment.
• Proven track record of managing complex operations and leading teams through periods of significant scale.
• Expertise in systems implementation, process re-engineering, and automation (e.g., CRM and Billing platforms).
• Strong analytical mindset with the ability to use data to drive operational excellence and decision-making.
• Exceptional cross-functional collaboration skills, with the ability to influence and align stakeholders across Sales, Finance, and Product.
• A strategic thinker who is equally comfortable diving into the details to resolve operational challenges.
• Excellent communication and change management skills, with a focus on building a culture of accountability.
• Demonstrates curiosity about AI tools and emerging technologies, with a willingness to learn and leverage them to enhance productivity, collaboration, or decision-making.
• Bachelor’s degree in Business, Finance, Operations, or a related field; an advanced degree is a plus.

What we’ll offer

Our comprehensive compensation package plays a big part in how we recognize you for the impact you have on our path to achieving our mission. We believe that compensation should be reflective of the value you create relative to the market value of your role. To ensure pay is fair and not impacted by biases, we're committed to looking at market value which is why we check ourselves and conduct a yearly pay equity audit.

For this role, the estimated base salary range is $207,000 - $243,000. The actual base salary will vary based on various factors, including market and individual qualifications objectively assessed during the interview process. The listed range above is a guideline, and the base salary range for this role may be modified.

In addition to base salary, your compensation package may include additional components such as equity, sales incentive pay (for most sales roles), and benefits. If you're interviewing for this role, speak with your recruiter to learn more about the total compensation and benefits for this role.

We strive to provide equitable and competitive benefits packages that support our employees worldwide and include:

• Mental health, wellness & fitness benefits
• Career coaching & support
• Inclusive family building benefits
• Long-term savings or retirement plans
• In-office culinary options to cater to your dietary preferences

These are just some of the benefits we offer, and benefits may vary based on role, country, and local regulations. If you're interviewing for this role, speak with your recruiter to learn more about the total compensation and benefits for this role.

#LI-Hybrid

The Security team ensures that our users, employees, and platform are protected from malicious activity and accidental data exposure. We build secure-by-default systems, frameworks, and tooling that enable engineering teams to ship fast without compromising trust. Our focus includes least-privilege access, scalable detection and alerting, automation to eliminate entire classes of risk, and security that grows with the business.

We are seeking a Principal Security Engineer to provide technical leadership and execution across a complex, global, high-growth SaaS environment. This is a senior individual contributor role reporting to the Head of Security, with accountability for defining security architecture, setting technical direction, and driving cross-company alignment between Security, Engineering, Product, and Executive leadership.

You are both a strategist and a builder: setting long-term vision while remaining deeply hands-on with system design, security architecture, and critical incidents.

This role is based in our San Francisco office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do and the teams with which you partner. If you're interviewing for this role, your recruiter will share more about the in-office requirements.

What you’ll achieve:

• Define and deliver the Security Engineering technical strategy and multi-year roadmap aligned with Asana’s product, platform, and business priorities.
• Raise the technical bar across security engineering through design and risk reviews, hands-on mentorship, and clear standards.
• Partner with senior leaders across Engineering, Product, and Infrastructure to improve Asana’s overall security posture.
• Develop security policies, processes, and procedures that scale with a growing, global engineering organization.
• Help grow the security engineering team through recruiting and interviewing.
• Stay ahead of the threat landscape and support teams building new features and technologies to ensure they are secure by design.

About you:

• 10+ years in a security-related engineering role, with 3+ years in a staff or principal-level role.
• Experience as a technical lead across multiple teams, influencing direction beyond direct ownership.
• Strong software engineering background, with the ability to engage deeply in system design, security architecture, and complex technical trade-offs.
• Deep understanding of application and platform risks (e.g., OWASP Top 10), identity and access controls (OAuth, OIDC, SAML), and modern attack patterns.
• Significant, hands-on experience securing cloud environments at scale, especially AWS.
• You excel at evaluating security trade-offs, making pragmatic, risk-informed decisions, and communicating those decisions clearly to technical and non-technical stakeholders.
• Demonstrated curiosity about AI tools and emerging technologies, with a willingness to learn and leverage them to enhance productivity, collaboration, or decision-making

At Asana, we're committed to building teams that include a variety of backgrounds, perspectives, and skills, as this is critical to helping us achieve our mission. If you're interested in this role and don't meet every listed requirement, we still encourage you to apply.

What we’ll offer

Our comprehensive compensation package plays a big part in how we recognize you for the impact you have on our path to achieving our mission. We believe that compensation should be reflective of the value you create relative to the market value of your role. To ensure pay is fair and not impacted by biases, we're committed to looking at market value which is why we check ourselves and conduct a yearly pay equity audit.

For this role, the estimated base salary range is between $336,000 - $395,000. The actual base salary will vary based on various factors, including market and individual qualifications objectively assessed during the interview process. The listed range above is a guideline, and the base salary range for this role may be modified.

In addition to base salary, your compensation package may include additional components such as equity, sales incentive pay (for most sales roles), and benefits. If you're interviewing for this role, speak with your Talent Acquisition Partner to learn more about the total compensation and benefits for this role.

We strive to provide equitable and competitive benefits packages that support our employees worldwide and include:

• Mental health, wellness & fitness benefits
• Career coaching & support
• Inclusive family building benefits
• Long-term savings or retirement plans
• In-office culinary options to cater to your dietary preferences 

These are just some of the benefits we offer, and benefits may vary based on role, country, and local regulations. If you're interviewing for this role, speak with your Talent Acquisition Partner to learn more about the total compensation and benefits for this role.

#LI-Hybrid

Asana AI Studio is a no-code builder that helps organizations design AI-powered workflows directly where work happens. It enables teams to automate routine work, surface insights, and turn plans into action with AI embedded in their workflows. We're looking for a Senior Software Engineer to join the team building the next generation of AI Studio. In this role, you’ll work on customer-facing product experiences and the systems behind them, helping make AI-powered workflows more intuitive, capable, and reliable for organizations operating at scale. You will work across the stack, partner closely with Product, Design, Data Science, and Engineering, and take ownership of technical initiatives from concept through launch. This role is a strong fit for you if you enjoy ambiguous product problems, care deeply about user experience, and want to shape how AI shows up in everyday work.

This role is based in our San Francisco office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do and the teams with which you partner. If you're interviewing for this role, your recruiter will share more about the in-office requirements.

What you’ll achieve

• Design, build, and ship features that make it easier for customers to create and manage AI-powered workflows in Asana

• Own technical design and execution for crucial projects, balancing speed, quality, and long-term maintainability.

• Work across product and platform layers to deliver reliable, scalable systems behind customer-facing AI experiences.

• Collaborate closely with Product Management, Design, Data Science, and adjacent engineering teams to turn ambiguous ideas into polished product outcomes.

• Make consistent hands-on contributions across the stack, tackling challenging technical problems and improving the quality and velocity of the codebase.

• Mentor other engineers through pairing, code reviews, and thoughtful technical collaboration.

About you

• 5+ years of software engineering experience in production environments and large codebases.

• Track record of leading complex projects or owning significant technical areas end-to-end.

• Strong product engineering instincts and sound judgment when balancing iteration speed, code quality, and long-term maintainability.

• Experience collaborating cross-functionally with Product Management and Design partners to define requirements, make tradeoffs, and shape solutions.

• Comfortable working in ambiguous spaces where product, user experience, and technical architecture evolve together.

• Demonstrates curiosity about AI tools and emerging technologies, with a willingness to learn and leverage them to enhance productivity, collaboration, or decision-making.

• Motivated by building software that helps teams work more effectively, with a high bar for craft, collaboration, and impact.

At Asana, we're committed to building teams that include a variety of backgrounds, perspectives, and skills, as this is critical to helping us achieve our mission. If you're interested in this role and don't meet every listed requirement, we still encourage you to apply.

What we’ll offer

Our comprehensive compensation package plays a big part in how we recognize you for the impact you have on our path to achieving our mission. We believe that compensation should be reflective of the value you create relative to the market value of your role. To ensure pay is fair and not impacted by biases, we're committed to looking at market value which is why we check ourselves and conduct a yearly pay equity audit.

For this role, the estimated base salary range is between $202,000 - $251,000. The actual base salary will vary based on various factors, including market and individual qualifications objectively assessed during the interview process. The listed range above is a guideline, and the base salary range for this role may be modified.

In addition to base salary, your compensation package may include additional components such as equity, sales incentive pay (for most sales roles), and benefits. If you're interviewing for this role, speak with your recruiter to learn more about the total compensation and benefits for this role.

We strive to provide equitable and competitive benefits packages that support our employees worldwide and include:

• Mental health, wellness & fitness benefits

• Career coaching & support

• Inclusive family building benefits

• Long-term savings or retirement plans

• In-office culinary options to cater to your dietary preferences

These are just some of the benefits we offer, and benefits may vary based on role, country, and local regulations. If you're interviewing for this role, speak with your recruiter to learn more about the total compensation and benefits for this role.

#LI-Hybrid

Senior Software Engineer, AI Teammates Experience

Asana is seeking an experienced and empathetic Senior Software Engineer to join our AI Teammates Experience team. Our team builds features end-to-end, from designing our data models to implementing the subtle interaction behaviors that differentiate good software from great software. You will build engaging experiences that enable our customers to work effectively with their AI Teammates, creating the interaction and product surfaces for teams, users, and admins. We’re looking for an engineer who is passionate about AI, curious to learn about how people interact with agents, and willing to share what they learn to help their colleagues grow and thrive.

This role is based in our San Francisco office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do and the teams with which you partner. If you're interviewing for this role, your recruiter will share more about the in-office requirements.

What you’ll achieve

• Drive full-stack development of robust systems and product surfaces that enable users to guide and work alongside their AI Teammates.
• Collaborate with cross-functional product, design, and platform teams to turn cutting-edge AI capabilities into intuitive product surfaces that provide clear value for teams.
• Contribute to the next generation of interaction patterns for AI, from conversational flows and human-in-the-loop workflows to experiences that build user trust.
• Apply empathetic product judgment and rapid experimentation to iterate on features, ensuring high quality, usability, and measurable impact.
• Mentor and develop engineers on your team by sharing knowledge and experience, fostering strong engineering practices and a culture of continuous improvement.
• Help shape the trajectory of AI at Asana by contributing technical insight, product thinking, and strong execution.

About you

• Demonstrates curiosity about AI tools and emerging technologies, with a willingness to learn and leverage them to enhance productivity, collaboration, or decision-making.
• 5+ years of experience working across the stack within large, well-maintained codebases.
• Experience building product features in complex technical domains; experience with applied AI, prompting LLMs, or agentic workflows is a plus.
• A proven track record of working with a team to scope and deliver impactful features.
• Ability to bring structure, judgment, and collaboration to evolving AI and product challenges.
• Thrives in a highly cross-functional environment, partnering closely with product and design.
• Communicates clearly and collaborates effectively across functions with a spirit of openness and curiosity.

At Asana, we're committed to building teams that include a variety of backgrounds, perspectives, and skills, as this is critical to helping us achieve our mission. If you're interested in this role and don't meet every listed requirement, we still encourage you to apply.

What we’ll offer

Our comprehensive compensation package plays a big part in how we recognize you for the impact you have on our path to achieving our mission. We believe that compensation should be reflective of the value you create relative to the market value of your role. To ensure pay is fair and not impacted by biases, we're committed to looking at market value which is why we check ourselves and conduct a yearly pay equity audit.

For this role, the estimated base salary range is between $202,000 - $258,000. The actual base salary will vary based on various factors, including market and individual qualifications objectively assessed during the interview process. The listed range above is a guideline, and the base salary range for this role may be modified.

In addition to base salary, your compensation package may include additional components such as equity, sales incentive pay (for most sales roles), and benefits. If you're interviewing for this role, speak with your recruiter to learn more about the total compensation and benefits for this role.

We strive to provide equitable and competitive benefits packages that support our employees worldwide and include:

• Mental health, wellness & fitness benefits
• Career coaching & support
• Inclusive family building benefits
• Long-term savings or retirement plans
• In-office culinary options to cater to your dietary preferences

These are just some of the benefits we offer, and benefits may vary based on role, country, and local regulations. If you're interviewing for this role, speak with your recruiter to learn more about the total compensation and benefits for this role.

#LI-Hybrid