Location: Ontario, Canada
From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven.
About the Role
We’re looking for a hands-on Senior Engineering Manager to lead the Core team behind dbt V2, dbt’s next-generation engine. This is a backfill role for an engineering leader who can combine strong software-engineering judgment with people leadership, product partnership, and the ability to navigate a highly cross-functional technical area.
The Core team is responsible for building, maintaining, and evolving the Rust-based engine that powers dbt Fusion. The team primarily works on the dbt V2 runtime itself, SQL language features powered by Static Analysis, and new ELT primitives.
The role sits at the center of several parts of the dbt product: the engine and orchestration, the IDE and developer experience, adapters and data warehouses, and our new compute offering, LakeCompute. You’ll help the team make sound technical and product decisions while keeping a stable GA product moving forward.
About the Team
The Core team is part of a broader organization that includes adapters, growth, the VS Code extension, compute, and other closely connected teams. It partners frequently with Product and with the teams responsible for orchestration, IDE experiences, adapters, and LakeCompute.
In this role, you can expect to:
Lead, coach, and develop a fluid team of approximately 8 engineers working on a critical part of the dbt product.
Establish clarity across a technically demanding roadmap with multiple product and engineering stakeholders.
Partner closely with Product to translate ambiguous requirements into realistic engineering scope, sequencing, and estimates.
Help the team balance new feature development, engine maintenance, framework modernization, documentation, and the stability of a GA product.
Guide end-to-end technical design across the engine and its integration points with orchestration, the IDE, adapters, warehouses, and late compute.
Support engineers in making sound tradeoffs across product value, technical quality, performance, compatibility, and delivery risk.
Actively contribute to technical design and implementation alongside the team.
Work with peer engineering leaders to coordinate initiatives that span multiple teams and systems.
Build an environment where engineers can do high-quality work, grow their scope, and take ownership of meaningful technical problems.
Help shape the next phase of dbt Fusion as a language-aware transformation engine used by the broader data community.
Mandatory skills
Experience leading teams through multiple concurrent priorities and diverse integration points.
Strong software-engineering fundamentals and prior experience as a senior/staff engineer, technical lead, or equivalent hands-on technical leader.
Ability to lead or facilitate system design from problem definition through implementation and delivery.
Ability to translate complex or ambiguous product requirements into credible engineering estimates, milestones, and tradeoffs.
Demonstrated judgment in balancing roadmap delivery with reliability, maintainability, technical debt, and product quality.
A hands-on technical orientation, including a willingness and ability to stay close to code and engineering details.
You are a good fit if you have:
Led a software team through the full development lifecycle: discovery, design, implementation, testing, release, operation, and iteration.
Worked on products with substantial technical complexity, integration surfaces, or platform dependencies.
Successfully partnered with Product and other engineering teams to create a stable roadmap and make difficult prioritization decisions.
Experience in data transformation, orchestration, query engines, databases, developer tools, compilers, language tooling, or a closely related area. Direct dbt experience is helpful but not required.
The ability to explain complex technical systems clearly to engineers, product partners, and candidates with different levels of technical depth.
A track record of developing strong engineers while maintaining a high technical bar.
Comfort operating in a fluid environment where team boundaries, priorities, and scope may evolve.
You’ll have an edge if you have:
Experience with Rust or another systems programming language, compilers, query planning, language servers, IDE tooling, or developer platforms.
Experience building or operating data transformation, orchestration, warehouse, or execution systems.
Contributions to open-source projects or experience working with open standards and open technical communities.
Familiarity with ecosystems such as Apache Arrow, Apache Iceberg, DuckDB, ADBC, or related data and execution technologies.
Experience with SQL semantics, query optimization, transpilation across dialects, data lineage, governance, or developer-facing language features.
Experience working in a remote-first or distributed organization with strong written communication practices.
Startup or scale-up experience and comfort wearing multiple hats while the organization evolves.
The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role. Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process.
Ontario Pay Range
$206,699
—
$232,536.50 CAD
Perks and Benefits
100% employer-paid medical insurance
*
Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off.
RSU stock grants*
Professional development and training opportunities
Company virtual happy hours, free food, and fun team-building activities
Monthly cell phone stipend
Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents.
*
May vary by country and worker type - please reach out to your recruiter for more information
Click
here
to learn more about Fivetran's Benefits by Region.
We’re honored to be
valued at over $5.6 billion
, but more importantly, we’re proud of our
core values of Get Stuck In, Do the Right Thing, and One Team, One Dream
. Read about us in
Forbes
.
Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities.
To learn more about Fivetran’s culture and what it’s like to be part of the team,
click here
and enjoy our video.
To learn more about our candidate privacy policy, you can
read our statement here
.
We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this
form
. We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.
Location: Denver, Colorado, United States, AMER
From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven.
About the Role
We’re looking for a hands-on Senior Engineering Manager to lead the Core team behind dbt V2, dbt’s next-generation engine. This is a backfill role for an engineering leader who can combine strong software-engineering judgment with people leadership, product partnership, and the ability to navigate a highly cross-functional technical area.
The Core team is responsible for building, maintaining, and evolving the Rust-based engine that powers dbt Fusion. The team primarily works on the dbt V2 runtime itself, SQL language features powered by Static Analysis, and new ELT primitives.
The role sits at the center of several parts of the dbt product: the engine and orchestration, the IDE and developer experience, adapters and data warehouses, and our new compute offering, LakeCompute. You’ll help the team make sound technical and product decisions while keeping a stable GA product moving forward.
About the Team
The Core team is part of a broader organization that includes adapters, growth, the VS Code extension, compute, and other closely connected teams. It partners frequently with Product and with the teams responsible for orchestration, IDE experiences, adapters, and LakeCompute.
In this role, you can expect to:
Lead, coach, and develop a fluid team of approximately 8 engineers working on a critical part of the dbt product.
Establish clarity across a technically demanding roadmap with multiple product and engineering stakeholders.
Partner closely with Product to translate ambiguous requirements into realistic engineering scope, sequencing, and estimates.
Help the team balance new feature development, engine maintenance, framework modernization, documentation, and the stability of a GA product.
Guide end-to-end technical design across the engine and its integration points with orchestration, the IDE, adapters, warehouses, and late compute.
Support engineers in making sound tradeoffs across product value, technical quality, performance, compatibility, and delivery risk.
Actively contribute to technical design and implementation alongside the team.
Work with peer engineering leaders to coordinate initiatives that span multiple teams and systems.
Build an environment where engineers can do high-quality work, grow their scope, and take ownership of meaningful technical problems.
Help shape the next phase of dbt Fusion as a language-aware transformation engine used by the broader data community.
Mandatory skills
Experience leading teams through multiple concurrent priorities and diverse integration points.
Strong software-engineering fundamentals and prior experience as a senior/staff engineer, technical lead, or equivalent hands-on technical leader.
Ability to lead or facilitate system design from problem definition through implementation and delivery.
Ability to translate complex or ambiguous product requirements into credible engineering estimates, milestones, and tradeoffs.
Demonstrated judgment in balancing roadmap delivery with reliability, maintainability, technical debt, and product quality.
A hands-on technical orientation, including a willingness and ability to stay close to code and engineering details.
You are a good fit if you have:
Led a software team through the full development lifecycle: discovery, design, implementation, testing, release, operation, and iteration.
Worked on products with substantial technical complexity, integration surfaces, or platform dependencies.
Successfully partnered with Product and other engineering teams to create a stable roadmap and make difficult prioritization decisions.
Experience in data transformation, orchestration, query engines, databases, developer tools, compilers, language tooling, or a closely related area. Direct dbt experience is helpful but not required.
The ability to explain complex technical systems clearly to engineers, product partners, and candidates with different levels of technical depth.
A track record of developing strong engineers while maintaining a high technical bar.
Comfort operating in a fluid environment where team boundaries, priorities, and scope may evolve.
You’ll have an edge if you have:
Experience with Rust or another systems programming language, compilers, query planning, language servers, IDE tooling, or developer platforms.
Experience building or operating data transformation, orchestration, warehouse, or execution systems.
Contributions to open-source projects or experience working with open standards and open technical communities.
Familiarity with ecosystems such as Apache Arrow, Apache Iceberg, DuckDB, ADBC, or related data and execution technologies.
Experience with SQL semantics, query optimization, transpilation across dialects, data lineage, governance, or developer-facing language features.
Experience working in a remote-first or distributed organization with strong written communication practices.
Startup or scale-up experience and comfort wearing multiple hats while the organization evolves.
The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role. Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process.
Denver Pay Range
$227,803.50
—
$284,757.50 USD
Perks and Benefits
100% employer-paid medical insurance
*
Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off.
RSU stock grants*
Professional development and training opportunities
Company virtual happy hours, free food, and fun team-building activities
Monthly cell phone stipend
Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents.
*
May vary by country and worker type - please reach out to your recruiter for more information
Click
here
to learn more about Fivetran's Benefits by Region.
We’re honored to be
valued at over $5.6 billion
, but more importantly, we’re proud of our
core values of Get Stuck In, Do the Right Thing, and One Team, One Dream
. Read about us in
Forbes
.
Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities.
To learn more about Fivetran’s culture and what it’s like to be part of the team,
click here
and enjoy our video.
To learn more about our candidate privacy policy, you can
read our statement here
.
We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this
form
. We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.
Location: Oakland, California, United States, AMER
From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven.
About the Role
We’re looking for a hands-on Senior Engineering Manager to lead the Core team behind dbt V2, dbt’s next-generation engine. This is a backfill role for an engineering leader who can combine strong software-engineering judgment with people leadership, product partnership, and the ability to navigate a highly cross-functional technical area.
The Core team is responsible for building, maintaining, and evolving the Rust-based engine that powers dbt Fusion. The team primarily works on the dbt V2 runtime itself, SQL language features powered by Static Analysis, and new ELT primitives.
The role sits at the center of several parts of the dbt product: the engine and orchestration, the IDE and developer experience, adapters and data warehouses, and our new compute offering, LakeCompute. You’ll help the team make sound technical and product decisions while keeping a stable GA product moving forward.
About the Team
The Core team is part of a broader organization that includes adapters, growth, the VS Code extension, compute, and other closely connected teams. It partners frequently with Product and with the teams responsible for orchestration, IDE experiences, adapters, and LakeCompute.
In this role, you can expect to:
Lead, coach, and develop a fluid team of approximately 8 engineers working on a critical part of the dbt product.
Establish clarity across a technically demanding roadmap with multiple product and engineering stakeholders.
Partner closely with Product to translate ambiguous requirements into realistic engineering scope, sequencing, and estimates.
Help the team balance new feature development, engine maintenance, framework modernization, documentation, and the stability of a GA product.
Guide end-to-end technical design across the engine and its integration points with orchestration, the IDE, adapters, warehouses, and late compute.
Support engineers in making sound tradeoffs across product value, technical quality, performance, compatibility, and delivery risk.
Actively contribute to technical design and implementation alongside the team.
Work with peer engineering leaders to coordinate initiatives that span multiple teams and systems.
Build an environment where engineers can do high-quality work, grow their scope, and take ownership of meaningful technical problems.
Help shape the next phase of dbt Fusion as a language-aware transformation engine used by the broader data community.
Mandatory skills
Experience leading teams through multiple concurrent priorities and diverse integration points.
Strong software-engineering fundamentals and prior experience as a senior/staff engineer, technical lead, or equivalent hands-on technical leader.
Ability to lead or facilitate system design from problem definition through implementation and delivery.
Ability to translate complex or ambiguous product requirements into credible engineering estimates, milestones, and tradeoffs.
Demonstrated judgment in balancing roadmap delivery with reliability, maintainability, technical debt, and product quality.
A hands-on technical orientation, including a willingness and ability to stay close to code and engineering details.
You are a good fit if you have:
Led a software team through the full development lifecycle: discovery, design, implementation, testing, release, operation, and iteration.
Worked on products with substantial technical complexity, integration surfaces, or platform dependencies.
Successfully partnered with Product and other engineering teams to create a stable roadmap and make difficult prioritization decisions.
Experience in data transformation, orchestration, query engines, databases, developer tools, compilers, language tooling, or a closely related area. Direct dbt experience is helpful but not required.
The ability to explain complex technical systems clearly to engineers, product partners, and candidates with different levels of technical depth.
A track record of developing strong engineers while maintaining a high technical bar.
Comfort operating in a fluid environment where team boundaries, priorities, and scope may evolve.
You’ll have an edge if you have:
Experience with Rust or another systems programming language, compilers, query planning, language servers, IDE tooling, or developer platforms.
Experience building or operating data transformation, orchestration, warehouse, or execution systems.
Contributions to open-source projects or experience working with open standards and open technical communities.
Familiarity with ecosystems such as Apache Arrow, Apache Iceberg, DuckDB, ADBC, or related data and execution technologies.
Experience with SQL semantics, query optimization, transpilation across dialects, data lineage, governance, or developer-facing language features.
Experience working in a remote-first or distributed organization with strong written communication practices.
Startup or scale-up experience and comfort wearing multiple hats while the organization evolves.
The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role. Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process.
Oakland Pay Range
$240,901
—
$301,126.50 USD
Perks and Benefits
100% employer-paid medical insurance
*
Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off.
RSU stock grants*
Professional development and training opportunities
Company virtual happy hours, free food, and fun team-building activities
Monthly cell phone stipend
Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents.
*
May vary by country and worker type - please reach out to your recruiter for more information
Click
here
to learn more about Fivetran's Benefits by Region.
We’re honored to be
valued at over $5.6 billion
, but more importantly, we’re proud of our
core values of Get Stuck In, Do the Right Thing, and One Team, One Dream
. Read about us in
Forbes
.
Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities.
To learn more about Fivetran’s culture and what it’s like to be part of the team,
click here
and enjoy our video.
To learn more about our candidate privacy policy, you can
read our statement here
.
We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this
form
. We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.
Location: San Francisco
Workplace: OnSite
ABOUT US:
AI NEEDS A NEW INFRASTRUCTURE LAYER. WE'RE BUILDING IT AT MODAL.
Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now.
Our customers include category-defining companies like Ramp https://modal.com/blog/how-ramp-built-a-full-context-background-coding-agent-on-modal, Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale.
We've passed $1B in annualized run rate, up 15x from a year ago. In October 2026 we raised a $750M Series D led by Accel at a $15.75B valuation.
Our team includes creators of popular open-source projects (e.g.,Seaborn https://github.com/mwaskom/seaborn,Luigi https://github.com/spotify/luigi), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience.
THE ROLE:
Modal’s Inference Runtime team owns the container runtime stack used to run inference and training workloads across our fleet. We work at the boundary of Linux, containers, filesystems, storage, GPU drivers, and distributed systems.Our goal is to make demanding ML workloads start quickly, run efficiently, and remain securely isolated — whether they use a single GPU, hundreds of gigabytes of memory, or multiple GPUs connected with RDMA.We’re looking for a systems engineer who enjoys working deep in the stack. You’ll build production runtime infrastructure in Rust and Go, diagnose difficult Linux and performance problems, and help determine the architecture of Modal’s container platform. You’ll also work closely with maintainers of gVisor and contribute to the runtime itself when the right fix belongs upstream.
THE WORK:
- Make container startup, checkpoint, and restore dramatically faster for large inference and training workloads.
- Build multi-GPU and accelerator-aware snapshotting, including efficient handling of GPU memory and RDMA-enabled workloads.
- Design zero-copy and low-copy data paths between container memory, filesystems, storage, and Modal’s runtime.
- Optimize large snapshot pipelines using techniques such as parallel uploads, direct I/O, incremental snapshots, and more efficient memory handling.
- Improve container image and filesystem performance across EROFS, FUSE, page caches, overlay filesystems, and remote storage.
- Extend our sandboxed runtime to support new GPUs, drivers, profiling tools, and device capabilities across NVIDIA and AMD hardware.
- Debug complex failures involving system calls, virtual memory, process lifecycle, kernel behavior, GPU drivers, and container isolation.
- Safely roll out runtime and kernel changes across a heterogeneous fleet using compatibility controls, scheduling constraints, feature flags, and observability.
- Work across the runtime, scheduler, storage, and GPU infrastructure—and take ambiguous production problems from investigation through deployment.
WHAT WE’RE LOOKING FOR:
- Strong Linux systems knowledge, particularly processes, virtual memory, filesystems, system calls, scheduling, namespaces, cgroups, and signals.
- Experience building or debugging container runtimes, sandboxes, Linux kernel, or similarly low-level infrastructure.
- Strong programming ability in Rust, Go, or another systems language, with an interest in becoming productive in both Rust and Go.
- Experience profiling and improving systems where memory movement, I/O, synchronization, or kernel interactions dominate performance.
- Comfort debugging across abstraction boundaries, from application behavior down through runtimes, drivers, and the kernel.
- An ability to turn loosely defined production problems into well-designed, reliable systems.
- A desire to own important infrastructure and work closely with both internal teams and customers.
RELEVANT EXPERIENCE:
Any of the following would be helpful, but none is required:
- gVisor, runsc, runc, OCI runtimes, seccomp, or checkpoint/restore systems.
- Linux kernel development, virtualization, sandboxing, kernel modules, or device proxying.
- CUDA, ROCm, GPU drivers, accelerator virtualization, or GPU profiling.
- RDMA and high-performance networking.
- FUSE, EROFS, direct I/O, mmap, page-cache behavior, or storage engines.
- Large-memory or multi-GPU inference and training systems.
- Contributions to open-source systems software.
Prior gVisor or machine-learning experience is not required. We care more about strong systems fundamentals, curiosity, and the ability to learn unfamiliar parts of the stack.
WHY THIS ROLE:
The container runtime is directly on the critical path for inference performance. Improvements here can substantially reduce cold starts, increase token throughput, unlock new accelerator types, and make previously impractical workloads possible.This is an opportunity to work on unusually deep systems problems with immediate production impact. You’ll have room to shape the architecture, contribute to open-source runtime technology, and take ownership of foundational infrastructure used by every inference and training workload on Modal.
Location: New York
Workplace: OnSite
ABOUT US:
AI NEEDS A NEW INFRASTRUCTURE LAYER. WE'RE BUILDING IT AT MODAL.
Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now.
Our customers include category-defining companies like Ramp https://modal.com/blog/how-ramp-built-a-full-context-background-coding-agent-on-modal, Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale.
We've passed $1B in annualized run rate, up 15x from a year ago. In October 2026 we raised a $750M Series D led by Accel at a $15.75B valuation.
Our team includes creators of popular open-source projects (e.g.,Seaborn https://github.com/mwaskom/seaborn,Luigi https://github.com/spotify/luigi), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience.
THE ROLE:
We're looking for a Legal Operations Lead to join us as the first dedicated legal operations hire at Modal. You'll own the systems, records, and workflows that let a small legal team keep pace with a high-growth tech company — and you'll have an opportunity to build most of them from scratch.
This is a great fit for a highly organized, systems-oriented operator who thrives in a fast-paced environment and wants to build operational foundations, not just maintain them. You'll report to our General Counsel and collaborate closely with the Finance, BizOps, GTM, and People teams.
IN THIS ROLE, YOU WILL:
- Build and maintain contract operations, including designing the contract lifecycle management workflows and approval logic, and continuing to iterate and improve those processes
- Design legal intake process to support and route legal requests from internal stakeholders
- Make the legal function faster with AI and build and configure tooling to make us more efficient
- Manage corporate administration and record-keeping, including Board and stockholder matters, signature coordination, and building a knowledge management system and database
- Be the point person for corporate compliance, including entity management and filings, including foreign and domestic qualifications and filings and coordinate with registered agents
- Support stock administration and cap table hygiene
- Manage outside counsel and legal spend
REQUIREMENTS:
- 5+ years in legal operations, contract operations, or a corporate paralegal role, preferably at a high-growth technology company
- Demonstrated ability to build and document processes from the ground up, not just execute existing ones
- Experience configuring workflows and templates within Ironclad or a similar CLM
- Experience with AI tools, and good instincts about where they help and where they quietly introduce risk
- Sound judgment about what to handle and what to escalate
BONUS:
- Exposure to corporate and equity administration; familiarity with Carta or a similar equity administration platform
Location: New York
Workplace: OnSite
ABOUT US:
AI NEEDS A NEW INFRASTRUCTURE LAYER. WE'RE BUILDING IT AT MODAL.
Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now.
Our customers include category-defining companies like Ramp https://modal.com/blog/how-ramp-built-a-full-context-background-coding-agent-on-modal, Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale.
We've passed $1B in annualized run rate, up 15x from a year ago. In October 2026 we raised a $750M Series D led by Accel at a $15.75B valuation.
Our team includes creators of popular open-source projects (e.g.,Seaborn https://github.com/mwaskom/seaborn,Luigi https://github.com/spotify/luigi), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience.
THE ROLE:
We're looking for a Senior Commercial Counsel to join us as the first commercial lawyer at Modal. This is a high-impact role for someone who wants to draft and negotiate a wide variety of commercial agreements and build the templates, playbooks, and positions that guide our operations. You'll report to our General Counsel and collaborate closely with the Sales, BizOps, Finance and Engineering teams and help build the foundation for a small but growing legal team.
IN THIS ROLE, YOU WILL:
- Own customer contracting, including MSAs, service orders, NDAs, DPAs, and BAAs - negotiating directly with customers and partnering with the Sales team throughout the full deal cycle
- Lead vendor-side contracting, including capex procurement, SaaS tools, and consulting arrangements, among others
- Build and maintain contract repositories, template libraries and contract playbooks
- Partner with Legal operations on CLM management, including approval workflows and escalation logic
- Review and revise operational policies, including terms of service, privacy policy, acceptable use, and website terms, and customer-facing marketing materials
REQUIREMENTS:
- We expect successful candidates will have approximately 5-10 years of combined law firm and in-house experience negotiating commercial technology agreements, with meaningful time supporting an enterprise sales motion
- JD and active membership in good standing in New York or California
- Deep familiarity with SaaS contracting
- Extensive experience working within Ironclad or a similar CLM
- Ability to build templates and playbooks from scratch
- Working knowledge of privacy and regulatory data protection frameworks, such as GDPR and HIPAA
- Sound commercial judgment: you know how to balance risk with the business needs of a high-growth tech company
BONUS:
- Experience with infrastructure, compute, or datacenter supply agreements
Location: San Francisco, CA • New York, NY
Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us!
The AI Research team at Figma is working on the cutting edge of AI and Design. We work on optimizing agentic systems for design quality and end user experience. We build robust evaluators for Design and post-train models. We are a very collaborative, close-knit and impact-focused team of researchers and research engineers working on some of the most challenging technical problems at the intersection of AI and creativity.
We are seeking PhD interns with expertise in machine learning and artificial intelligence to develop innovative AI solutions for design and creative products. Through both fundamental and applied research, your work will contribute to new AI-driven features in Figma products.
This internship can take place in Winter 2027 or Summer 2027 in San Francisco or New York.
What you’ll do at Figma:
Drive fundamental and applied research in Generative AI with Figma product use cases in mind
Formulate and implement new modeling approaches both to improve the effectiveness of Figma’s current AI models as well as enable the launch of entirely new AI-powered product features
Explore the boundaries of what is possible with the current technology set and experiment with novel ideas
Depending on your project, you may have the opportunity to publish your research in leading AI/ML conferences
We'd love to hear from you if you have:
Are a 4th or 5th year senior Ph.D student in AI, Machine Learning, Computer Vision, Natural Language Processing, Human Computer Interaction or a related field
Proven expertise in AI through publications on recent advancements in AI, such as Large Language Models or Agentic systems
Track record in applying machine learning techniques to projects in academia or industry
Experience in Python and machine learning frameworks (such as PyTorch, TensorFlow)
Experience solving sophisticated problems and comparing alternative solutions, trade-offs, and diverse points of view to determine a path forward
While it’s not required, it’s an added plus if you also have:
Related industry experience via a past internship or full-time role
Experience communicating your solutions effectively to different audiences
Experience using AI-assisted development tools (e.g., GitHub Copilot, ChatGPT, Claude) to write, debug, and optimize code
At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you’re excited about this role but your past experience doesn’t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.
Pay Transparency Disclosure
This internship role is based in either Figma’s San Francisco or New York hub offices, and has the hourly base pay rate stated below. Figma also offers interns a housing stipend and travel reimbursement. Figma’s compensation and benefits are subject to change and may be modified in the future.
Internship
$74
—
$74 USD
At Figma we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Figma is an
equal opportunity workplace
- we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status
,
or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.
We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to
accommodations-ext@figma.com
. These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities.
Examples of accommodations include but are not limited to:
Holding interviews in an accessible location
Enabling closed captioning on video conferencing
Ensuring all written communication be compatible with screen readers
Changing the mode or format of interviews
To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates keep their cameras on during video interviews. Additionally, if hired you will be required to attend in person onboarding.
By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with
Figma's Candidate Privacy Notice
.
Application limits:
To help candidates focus on the opportunities most relevant to their skills and experience, Figma limits the number and frequency of applications. These limits apply to all roles:
Candidates may submit up to 5 applications during any rolling 30-day period.
Candidates may not reapply to the same role while an application is active or within 90 days of receiving a rejection.
Once the applicable days has passed, candidates are welcome to apply again.
Location: San Francisco
Workplace: OnSite
ABOUT US:
AI NEEDS A NEW INFRASTRUCTURE LAYER. WE'RE BUILDING IT AT MODAL.
Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now.
Our customers include category-defining companies like Ramp https://modal.com/blog/how-ramp-built-a-full-context-background-coding-agent-on-modal, Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale.
We've passed $1B in annualized run rate, up 15x from a year ago. In October 2026 we raised a $750M Series D led by Accel at a $15.75B valuation.
Our team includes creators of popular open-source projects (e.g.,Seaborn https://github.com/mwaskom/seaborn,Luigi https://github.com/spotify/luigi), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience.
THE ROLE:
We're hiring a Field Marketing Manager in San Francisco to build and run the programs that turn Modal's target accounts into active customers. You'll work closely with our Sales team to plan regional campaigns, run events for the engineers and technical leaders we sell to, and report on how those programs contribute to pipeline and revenue. This is a hands-on role for someone who has run account-based field programs at a technical company and wants to help shape the function as it grows.
WHAT YOU'LL DO:
- Act as a strategic partner to Sales, aligning field programs with sales priorities and helping AEs create and accelerate pipeline in their territories.
- Develop and execute account-based programs for named accounts, working with Sales to identify key stakeholders and the right mix of touchpoints for each.
- Decide which industry conferences and sponsorships are worth investing in. Own what we bring, who we send, and whether we go back next year.
- Plan and host high-touch 1:1 and 1:few events for prospects and customers, such as executive dinners, roundtables, and technical workshops, in partnership with AEs.
- Own pre-event and post-event execution, including targeted invitations, meeting booking, and timely follow-up with Sales.
- Build co-marketing programs with VCs, accelerators, and ecosystem partners to reach their portfolio companies and customers.
- Track and report on program performance, including meetings booked, account engagement, and sourced and influenced pipeline, and use the results to plan future investment.
- Own the VIP experience at Modal's flagship events, including our annual conference, Runtime.
- Build repeatable processes and playbooks as the team grows.
REQUIREMENTS:
- A track record running field programs at a technical company. You can point to specific ones and clear outcomes.
- You've worked directly with AEs and you're happy sharing a number with them.
- Good judgment about where to spend. A lot of sponsorships look better than they perform, and you can tell which is which. Experience in AI or developer tools helps here.
- Organized and self-directed. This role runs many events, partners, and vendors at once.
- Experience producing events across a range of formats, from small executive dinners to large conference sponsorships and brand events.
- Strong attention to detail and a high bar for taste and the quality of every event and touchpoint.
- Comfort with data and reporting, including CRM, attribution, and pipeline analysis.
- Familiarity with ABM, intent data, and marketing automation tools.
- Experience building AI into marketing workflows, such as account research, audience development, event operations, and reporting.
NICE-TO-HAVE:
- Experience at an AI, developer tools, or cloud infrastructure company.
- Experience marketing to technical audiences such as engineers, ML teams, and technical executives.
- Experience bridging product-led and sales-assisted growth.
- Existing relationships with Bay Area VCs, accelerators, or AI communities.
Location: LATAM; Brazil; Uruguay; Peru; Colombia; Argentina; Paraguay; South Africa; Canada; Mexico; Chile
BUILDING THE FUTURE OF OPEN FINANCE
Payward - the parent company behind Kraken, NinjaTrader, Breakout, xStocks, Payward Services and CF Benchmarks - has spent the last 15 years building one of the most modern and globally accessible financial infrastructure platforms in the industry, built to advance an open, global financial system.
Before you apply, we encourage you to explore our culture page https://www.kraken.com/culture to understand what drives us and how we work.
THE TEAM
Founded in 2011, Kraken is one of the world's longest-standing crypto platforms, trusted by over 10 million individuals and institutions across the globe. It offers spot trading, margin, futures, staking, and OTC services, with products built for both individual investors and institutional clients.
The Core Infrastructure – Platforms team is responsible for the foundational platform that powers all Kraken on-premises and cloud infrastructure.
We design and operate the systems that enable all engineering at Kraken; bringing together compute, storage, orchestration, and more into a unified, reliable platform. You’ll join a senior group of engineers working closely with SRE, Networking, and Security to deliver a stable, scalable, and secure foundation for all workloads.
We’re looking for someone to help evolve and scale our OpenStack platform as a core part of our next-generation infrastructure.
THE OPPORTUNITY
- Own and resolve infrastructure support requests across our existing Nomad platform, helping engineering teams remove blockers and keep workloads running reliably
- Help operate and improve our existing infrastructure while contributing to its gradual migration toward the next-generation platform
- Gain hands-on experience across OpenStack platform operations: compute (Nova), networking (Neutron), and provisioning (Ironic)
- Learn storage systems fundamentals, including Ceph architecture, operations, and troubleshooting
- Handle feature requests and support tickets for both OpenStack and Storage systems, learning core concepts along the way
- Work with senior engineers to troubleshoot complex issues across the full stack, reducing operational burden from the team
- Understand how storage integrates with our infrastructure (whether through OpenStack Cinder or Kubernetes CSI)
- Build automation and tooling to improve team efficiency and reduce toil across both platforms
- Contribute to documentation and runbooks for operations and troubleshooting
- Participate in on-call rotation to maintain platform reliability
WHAT YOU BRING
- Proven experience of 3+ year of working as an Infrastructure/Platform/DevOps Engineer, Software Engineer or similar roles
- Strong passion for providing technical guidance to stakeholders, with excellent communication skills and a customer-focused approach to resolving compute / storage related requests, removing blockers, and enabling engineering teams to succeed
- Hands-on experience building and maintaining at least one of Openstack private cloud or Ceph networked storage platforms
- Strong understanding of distributed systems fundamentals
- Strong Linux systems knowledge: comfortable at the shell, understanding processes, networking basics, file systems, permissions
- Networking fundamentals: TCP/IP, DNS, ports, IP addressing, basic routing, TLS, PKI concepts
- Ability to leverage AI tools and agents such as Claude and OpenAI to efficiently deliver business value
- Scripting or programming experience (Python, Bash, Go, or similar)
NICE TO HAVES
- Hands-on experience with Nomad, particularly operating or troubleshooting production workloads
- Experience with Salt or other configuration-management systems such as Ansible
- Prior hands-on experience with OpenStack or other cloud platforms
- Experience with Ceph or other distributed storage systems
- Exposure to virtualization technologies or hypervisor operations
- Knowledge of infrastructure-as-code tools like Terraform
- Experience with containerization (Docker) or Kubernetes
Unless a specific application deadline is stated in the job posting, applications are accepted on an ongoing basis.
Please note, applicants are permitted to redact or remove information on their resume that identifies age, date of birth, or dates of attendance at or graduation from an educational institution.
We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance.
OUR COMMITMENT
Payward is powered by people from around the world and we celebrate the diverse talents, backgrounds, contributions, and unique perspectives that everyone brings to the table. We hire based on merit, seeking out people with the right abilities, knowledge, and skills for the job. We encourage you to apply for roles where you don't fully meet the listed requirements, especially if you're passionate or knowledgeable about crypto.
We may ask candidates to complete job-related skills or work-style assessments as part of our hiring process. These assessments evaluate competencies relevant to the role and are applied consistently across candidates for similar positions. Results are considered alongside experience and interviews, and are not the sole basis for any employment decision.
As an equal opportunity employer, we don't tolerate discrimination or harassment of any kind, whether based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status, or any other protected characteristic as outlined by federal, state, or local laws.
Stay connected
Follow us on Twitter https://twitter.com/krakenfx
Learn on the Kraken Blog https://blog.kraken.com/#:~:text=Enter%20your%20email%20address
Connect on LinkedIn https://www.linkedin.com/company/kraken-exchange/
Candidate Privacy Notice https://www.kraken.com/legal/candidate-privacy-notice
Location: Home based - Worldwide
Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation, and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. The company is a pioneer of global distributed collaboration, with 1200+ colleagues in 75+ countries and very few office-based roles. Teams meet two to four times yearly in person, in interesting locations around the world, to align on strategy and execution.
The company is founder led, profitable and growing.
We are hiring
2025 and 2026 Graduate Software Engineers
into engineering teams around the world. As a global platform company we offer a wide range of software engineering challenges, in both open source products and commercial business systems. We have teams that work in a variety of languages, typically Python, Golang, Rust, C/C++, JavaScript and of course... Bash. We work from the very lowest levels of the Linux system - BIOS and boot loaders, firmware, kernel and drivers, all the way up to desktop applications and containers. We work on tiny devices like the Raspberry Pi and new RISC-V boards, all the way up to supercomputers, clouds and Kubernetes clusters. We work on compilers and toolchains, and we work on security, cryptography, performance and documentation. Some of our teams focus on packaging thousands of pieces of software, others focus on deep contributions to a single body of code.
If you are excited about the potential that open source has for humanity and the enterprise, you have outstanding results in your academic career, and you are excited to contribute to the open source stack, this is the best way to apply to Canonical. We will work with you to identify teams and projects that would be interesting and a good fit for your skills and motivations. The process is highly competitive, it will require effort and excellence to succeed if you apply here.
Most of our engineering teams work from home. We try to align a single team in a single time zone - EMEA (Europe, Middle East and Africa), APAC (Asia Pacific and Indian Ocean), and AMER (North, South and Central Americas). Even though you work from home, we try to ensure you always have colleagues alongside to coach and mentor you, and for the companionship of shared problem solving and pair programming. Larger projects have multiple teams and might span the globe. We work with the open source community and specialize in building teams that work well in the 'fishbowl' of open source engineering. This is full time work, five days a week, often solving hard problems with significant responsibility. We don't generally work weekends and nights and we do enjoy good holidays but we also expect productive and intense engagement Monday to Friday.
We bring all our engineering teams together in person twice a year for a deep 'sprint' with other teams to stimulate discussion and enable a wide range of career development paths. This is a fantastic way to demonstrate and develop your skill in software, learn about a wide range of technologies, make a meaningful impact to open source, and see some very interesting new cities that you might never otherwise get to visit.
If you find the open source stack amazing, and you have been a consistent high-performing student in your school and university, then this will be a challenging and exciting start to your career.
Location:
This is a Globally remote role.
The role entails
Shaping the roadmap for your product at global sprints every six months
Focusing on design and user experience, even for developer tooling and command line apps
Writing high quality, resilient and performant code, potentially serving millions of demanding daily users
Working towards mastery of key programming languages and Linux system knowledge
Engaging with users and the open source community through code reviews and issue trackers
Responding to customer issues as a priority, develop an understanding of enterprise requirements
Developing skills and awareness of security in software design and implementation
What we are looking for in you
Exceptional academic track record from both high school and university
Undergraduate degree in Computer Science, Business Informatics, Mathematics or another STEM discipline with programming courses
Confidence to get started and deliver high quality code in one of Python, Rust, C/C++, Golang, JavaScript or Java
Experience with Ubuntu or another Linux distribution
Track record of going above-and-beyond expectations to achieve outstanding results
Result-oriented and organized, with the drive to meet commitments
Personal projects in technology and software engineering beyond the curriculum
Professional written and spoken English
Excellent interpersonal skills, curiosity, flexibility, and accountability
Personal responsibility and accountability
Thoughtfulness, self-awareness and the ability to reflect and develop
Ability to travel internationally twice a year for company events up to two weeks long
Nice-to-have skills
Upstream open source contributions
Packaging and Linux distribution contributions - Debian, Fedora, Arch, Nix or another
Leadership and organization skills
Presentation and writing skills
Business and commercial interests
What we offer colleagues
We consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to ensure we recognize outstanding performance. In addition to base pay, we offer a performance-driven annual bonus or commission. We provide all team members with additional benefits which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally.
Distributed work environment with twice-yearly team sprints in person
Personal learning and development budget of USD 2,000 per year
Annual compensation review
Recognition rewards
Annual holiday leave
Maternity and paternity leave
Team Member Assistance Program & Wellness Platform
Opportunity to travel to new locations to meet colleagues
Priority Pass and travel upgrades for long-haul company events
About Canonical
Canonical is a pioneering tech firm at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open source projects and the platform for AI, IoT and the cloud, we are changing the world of software. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence - in order to succeed, we need to be the best at what we do. Most colleagues at Canonical have worked from home since its inception in 2004. Working here is a step into the future, and will challenge you to think differently, work smarter, learn new skills, and raise your game.
Canonical is an equal opportunity employer
We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products.
Whatever your identity, we will give your application fair consideration.
#LI-remote
Вакансия бизнес-аналитика в команду аналитиков, которая работает с AI-проектами, включая LLM, ML, Computer Vision, RAG и другие сценарии автоматизации для бизнеса.
Firebase, Crashlytics, DataDog), and strong understanding of mobile stability issues: crashes, ANRs, and freezes Proven experience building or owning a mobile QA automation framework (e.g.
Location: United States (Remote)
Workplace: Remote
About Teleport
Don't wait for the future of infrastructure. Be part of it.
Teleport is the AI Infrastructure Identity Company. We're solving one of the hardest problems in security: giving every human, machine, workload, and AI agent a cryptographically secured identity, improving engineering velocity while maintaining security. We make trusted computing simple. This gives you the freedom, power, and autonomy to build and innovate with confidence.
Remote-first and globally distributed, we work with companies like Nasdaq, DoorDash, and Elastic to secure infrastructure for an AI world.
ABOUT THE ROLE
Teleport Cloud takes our traditionally open-source and enterprise access plane and provides a SaaS option for our customers to adopt.
As such, our team is building our production and software as a service infrastructure from scratch. We tackle the hard problems that allow our customers to trust us for secure and reliable access to their infrastructure.
Excellent security is table stakes; a security breach can compromise our customers' infrastructure. We must also balance security with maintaining productivity and building a compelling product offering for our customers.
Most of the code you will write will be written in Go. We strongly encourage you to explore our GitHub Repo https://github.com/gravitational to get a taste of what we are building.
Important information
- We require to be in-person in our Oakland, CA, office for the onboarding week.
- We conduct background checks.
WHAT YOU'LL DO
- Re-engineer the core teleport product to scale globally and optimize routing latency for teams distributed around the world
- Re-write portions of the core Teleport product to enable our goals for the cloud product
- Build out our monitoring and observability stack to alert us to production issues and minimize false positives so we can all get a good sleep at night
- Work on automation to tackle and eliminate the highest toil activities
- Execute on traditional operation challenges, such as patching, scaling, backup and restore, disaster recovery, and more
- Investigate the outages and incidents our customers experience with our product
- Participate in the on-call rotation to ensure 24/7/365 system uptime.
WHAT WE'RE LOOKING FOR
- Willingness to collaboratively work with Teleports’ engineers on coding challenge in Go https://github.com/gravitational/careers/blob/main/challenges/sre/challenge.md as part of the interview process.
- 5+ years of progressive experience in Software Engineering and/or SRE/DevOps roles.
- Strong experience in Linux systems, networking, containers, and troubleshooting.
- Have solid Go and Kubernetes development experience.
- Strong experience developing scripts, automation, or lightweight programs, submitting patches to the product codebase, or building tooling that incorporates AI agents into operational workflows.
- AWS Cloud experience is preferred, GCP experience is acceptable.
- Systems Observability tools: Prometheus, Grafana, Loki etc.
- Operate and support the observability platform to maintain visibility and reliability.
- Experience operate in a team where sound security choices are critical, and where reasoning about correctness and system invariants (e.g. formal or property-based methods) is valued.
- Intellectual curiosity and a willingness to master new technologies.
- Transparency, honesty, and a no-ego mindset.
- Excellent communication skills.
HOW WE HIRE
Our process is designed to be straightforward and respectful of your time. We skip performative rounds and focus on what matters: understanding how you think and what you can do.
For this role, we use a take-home challenge that mirrors real work at Teleport — on your time, your way. You'll have support from the team throughout.
1. Zoom meeting with a Teleport recruiter. You’ll learn about the company, our products, compensation philosophy, interview process, and key requirements.
2. Zoom meeting with the Hiring Manager or a Lead Engineer. They will walk you through the coding challenge and answer your questions.
3. Coding challenge collaboration. The day after your meeting with the Hiring Manager or Lead Engineer, you join a Slack channel and complete a coding challenge in Go https://github.com/gravitational/careers/blob/main/challenges/sre/challenge.md using GitHub. The challenge usually takes about 2 weeks and ends with a Zoom meeting with the Hiring Manager and a member of the interview team to review your solution.
4. If your challenge solution meets our bar, you'll receive an offer to join Teleport.
Why Teleport
You're joining a company where the problem is real, the team is small, and your work shows up directly in the product. We're not a big company, you won't get lost in a crowd. You'll have the freedom and autonomy to do what you're great at, alongside teammates who care about doing it right and want to see you succeed. The work is collaborative, there's real room to grow, and the mission is one worth showing up for.
Remote-first and globally distributed, we're genuinely passionate about what we're building.
The Benefits
At Teleport, we believe your career is more important than a list of perks. That's why we focus on making your day-to-day the best it can be — giving you the autonomy, access, and support to do the best work of your career.
- Extensive health coverage
- Annual expense budget
- Rest and recovery policies that maximize your ability to recharge
- Investment in your future with retirement savings plans
- Professional development opportunities
Teleport is an equal opportunity employer and does not discriminate against any employee or applicant on the basis of age, color, disability, gender, national origin, race, religion, sexual orientation, veteran status, or any classifications protected by federal, state, or local law.
Candidate Privacy Notice: For information about our collection and processing of job applicant personal data for this position, please see our Job Applicant Privacy Policy and Notice of Collection at goteleport.com/legal/apply/job-applicant/ http://goteleport.com/legal/apply/job-applicant/
Own the technical strategy and long-term architecture for Smartsheet’s financial systems ecosystem across ERP, procurement, financial planning, payments, billing, tax, revenue processes, integrations, data, automation, and AI.
We are looking for a Senior Manager of Solutions Architecture to join and lead our our APAC SA team. In this role, you will be responsible for leading a team of Solutions Architects who support our sales teams across pre and post sales.
Collaborates regularly with Digital Marketing, Brand and Visuals, and IS teams to discuss project requirements and makes technical recommendations. Writes efficient code and maintains custom donation forms, advocacy forms, other webpages, and email templates.
УдалённоГеография найма не уточнена
80 000 – 115 000 $
seniorDenver, Colorado, United States, AMER
Зарплата не указана
seniorOakland, California, United States, AMER
Зарплата не указана
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