Location: Canada
Workplace: Remote
ABOUT SAILOR HEALTH
Sailor Health is revolutionizing mental health care for older adults, addressing one of the fastest-growing and most underserved healthcare segments in America. With over 60 million seniors expected to make up nearly 25% of the population by 2030, we’re entering a period of unprecedented demand for care. Yet, today, millions of older adults remain isolated, underserved, and struggling with mental health challenges such as anxiety, depression, loneliness without adequate support.
At Sailor Health, we envision a world where every senior has seamless access to compassionate, effective, and personalized mental health care. Join us on our mission to redefine the golden years, enabling older adults across the nation to live happier, healthier, and more fulfilling lives.
ABOUT THE ROLE
Location: Remote - Canada based only
Title: Patient Support Coordinator
We’re hiring a full-time remote Patient Support Coordinator to provide exceptional post-intake support to patients at Sailor Health. Once a patient begins care, you’ll be their go-to point of contact for everything they need, including scheduling changes, billing questions, troubleshooting Zoom – all while providing friendly, reliable guidance every step of the way.
In this role, you’ll ensure patients always feel cared for, informed, and supported. You’ll handle a range of administrative and customer service requests via phone, email, and text with empathy, precision, and professionalism. This is an ideal position for someone who thrives on solving problems, staying organized under pressure, and making people feel valued and understood — all while helping deliver high-quality mental healthcare for older adults.
WHO YOU ARE
- Exceptional communicator. You’re clear, kind, and patient — able to translate complex information (like billing or scheduling) into reassuring, easy-to-understand guidance.
- Detail-oriented problem solver. You spot issues before they escalate, follow up without being prompted, and take pride in getting things right the first time.
- Calm under pressure. You stay composed and resourceful when juggling multiple requests, maintaining professionalism and empathy throughout.
- Tech-comfortable and adaptable. You learn new platforms quickly — whether it’s an EHR like Healthie, a messaging tool like OhMD, or scheduling and billing software.
- Mission-driven with relevant experience. You care deeply about making mental health care accessible for older adults and may come from a background in customer support, patient support, care coordination, or healthcare administration, where empathy and organization are key.
WHY JOIN SAILOR HEALTH
- Mission with impact. Help bring life-changing care to a population that’s too often overlooked.
- Remote-first team. Enjoy the flexibility of remote work while staying closely connected with a thoughtful, collaborative team rooted in purpose.
- Growth and ownership. Be part of a small, agile team where you’ll take initiative, shape key processes, and grow as we grow.
- Make someone’s day – every day. Your work helps older adults and their families feel seen, supported, and cared for.
If this sounds like you, we’d love to connect. Join us in redefining what it means to age with dignity, connection, and mental wellness.
Location: United States; Canada
Workplace: OnSite
WHO ARE WE?
Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems.
We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that.
We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft.
We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us!
As a Senior Security Operations Engineer you will:
- Serve as trusted advisor to team’s leadership and partner teams by clearly articulating business risks associated with security issues
- Harden our cloud-native environments (AWS, OCI, GCP) by introducing secure by default cloud controls
- Own and drive resolutions for enabling engineers to design, build, and use infrastructure securely at scale by paving the secure path using infrastructure-as-code modules and reusable code libraries
- Manage IAM / RBAC for cloud infrastructure, and partner with IT on streamlining authentication/authorization to ensure unified access control across the board
- Deploy, integrate and operationalize security platforms and services including but not limited to SIEM, SOAR, domain monitoring, endpoint tooling, cloud security tooling
- Respond to security incidents and harden environments post-incidents.
- Support control monitoring and remediation for compliance initiatives
- Gather and analyze security metrics to address security issues with cross-team dependencies
- Partner empathetically with engineering teams to understand their needs and deliver practical, scalable security solutions without creating unnecessary friction.
You may be a good fit if:
- 5+ years previous experience in SecOps, DevSecOps, Cloud Security, Threat Detection & Response or software development with a strong focus on security engineering.
- You’re a hands-on security engineer interested in automating controls and building scalable solutions rather than relying on manual processes.
- You have experience in managing cloud platforms (GCP, AWS, Azure, OCI) and Kubernetes environments
- Familiarity with CI/CD systems and SecOps workflows (Git, Terraform) in cloud environments (GCP, AWS, Azure, OCI)
- Have practical experience with one or more of : infrastructure automation, network segmentation, system hardening, container and cloud security concepts, and security observability
- You have experience with multiple languages such as Golang and/or Python
- Are comfortable navigating ambiguity, making informed decisions with incomplete information, and adapting your approach as requirements evolve.
- You employ a flexible and constructive approach when solving problems
- You are able to make trade-offs between build vs. buy decisions - help build solutions and able to review what tools are available
- You understand secure engineering best practices, can articulate problem statements and propose solutions to both technically savvy and non-technical audiences
FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS:
- A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch.
- Full health and dental benefits, including a separate budget for mental health.
- RRSP matching, 401K, Pension Scheme.
- 100% Parental Leave top-up for up to 6 months, for either parent.
- Annual enrichment benefits:
Arts & culture, fitness/wellness, quality time, and a workspace improvement credit.
Education & learning stipend for conferences, courses, and coaching.
- 6 weeks of paid vacation (30 working days!)
- Budget for traveling to other offices if you are remote, plus an annual company offsite.
HOW AND WHERE WE WORK:
- Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon.
- For those in the office: a daily lunch program, plenty of snacks, and regular community and social events.
- For those not near an office: a co-working benefit so you can work alongside others in your city.
- Everyone receives a $500 home office stipend to set up your workspace properly.
If any of the above doesn’t line up exactly with your experience, we still encourage you to apply.
We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs.
We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider.
Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.
Location: San Francisco
Workplace: Hybrid
WHY HARVEY
At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come.
This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched.
Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you.
At Harvey, the future of professional services is being written today — and we’re just getting started.
ROLE OVERVIEW
In this role, you'll build the systems that power how we adapt and improve leading open-weight models for legal work.
We recently post-trained our first model built for legal work, and we’re now building the team to scale up our post-training efforts. You’ll own the infrastructure behind that effort: distributed training, RL rollout systems, the environments where models learn to use tools and complete complex legal workflows, and the internal systems the team uses to manage data, run evals, and launch and track training jobs. You’ll help decide what we build, what we adopt, and how the pieces fit together. You’ll join a small, high-bar team of hands-on engineers and researchers, where each person owns a large part of the stack.
We’re looking for research engineers who have built demanding ML or distributed systems, can debug across the stack, and want to work closely with researchers to make training faster, more reliable, and easier to iterate on.
Learn more about our work at harvey.ai/research http://harvey.ai/research.
WHAT YOU'LL DO
- Scale our post-training stack, supporting SFT and RL on leading open-weight models.
- Build distributed rollout infrastructure that coordinates model inference, tool execution, and collection of training experience for long-horizon tasks.
- Build the infrastructure for reproducible agent environments where models can interact with documents, tools, and external systems during training and evaluation.
- Own the performance and reliability of training runs, including GPU utilization, checkpointing, failure recovery, and observability.
- Identify and remove bottlenecks across training and inference to shorten the path from research idea to useful result.
- Build the internal tools and services the team runs on: training data management and versioning, running evals and browsing results, and launching and tracking training jobs and experiments.
- Integrate models into production, including serving, latency, cost, and online evaluation, so research reaches customers quickly and safely.
- Partner closely with researchers to turn experimental workflows into dependable systems while keeping room for rapid experimentation.
WHAT YOU HAVE
- Experience building ML infrastructure, distributed systems, or research tooling, with ownership of performance, reliability, and operation.
- Strong Python and generalist software engineering skills across backend services, data systems, and internal tools, with familiarity with PyTorch, JAX, or similar ML frameworks.
- Experience with distributed training or inference, including diagnosing performance bottlenecks and failures across the stack.
- Understanding of post-training workflows; experience with RL rollouts, agent environments, or sandboxed tool execution is a plus.
- Practical judgment about what to build versus adopt, and the ability to partner with researchers and ship quickly as needs evolve.
We are hiring for this role across multiple levels.
COMPENSATION
$230,000 - $450,000 USD
DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74.
#LI-DZ1
Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai
Location: Remote
Workplace: Remote
WHY HARVEY
At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come.
This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched.
Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you.
At Harvey, the future of professional services is being written today — and we’re just getting started.
ROLE OVERVIEW
In this role, you'll build the systems that power how we adapt and improve leading open-weight models for legal work.
We recently post-trained our first model built for legal work, and we’re now building the team to scale up our post-training efforts. You’ll own the infrastructure behind that effort: distributed training, RL rollout systems, the environments where models learn to use tools and complete complex legal workflows, and the internal systems the team uses to manage data, run evals, and launch and track training jobs. You’ll help decide what we build, what we adopt, and how the pieces fit together. You’ll join a small, high-bar team of hands-on engineers and researchers, where each person owns a large part of the stack.
We’re looking for research engineers who have built demanding ML or distributed systems, can debug across the stack, and want to work closely with researchers to make training faster, more reliable, and easier to iterate on.
Learn more about our work at harvey.ai/research http://harvey.ai/research.
WHAT YOU'LL DO
- Scale our post-training stack, supporting SFT and RL on leading open-weight models.
- Build distributed rollout infrastructure that coordinates model inference, tool execution, and collection of training experience for long-horizon tasks.
- Build the infrastructure for reproducible agent environments where models can interact with documents, tools, and external systems during training and evaluation.
- Own the performance and reliability of training runs, including GPU utilization, checkpointing, failure recovery, and observability.
- Identify and remove bottlenecks across training and inference to shorten the path from research idea to useful result.
- Build the internal tools and services the team runs on: training data management and versioning, running evals and browsing results, and launching and tracking training jobs and experiments.
- Integrate models into production, including serving, latency, cost, and online evaluation, so research reaches customers quickly and safely.
- Partner closely with researchers to turn experimental workflows into dependable systems while keeping room for rapid experimentation.
WHAT YOU HAVE
- Experience building ML infrastructure, distributed systems, or research tooling, with ownership of performance, reliability, and operation.
- Strong Python and generalist software engineering skills across backend services, data systems, and internal tools, with familiarity with PyTorch, JAX, or similar ML frameworks.
- Experience with distributed training or inference, including diagnosing performance bottlenecks and failures across the stack.
- Understanding of post-training workflows; experience with RL rollouts, agent environments, or sandboxed tool execution is a plus.
- Practical judgment about what to build versus adopt, and the ability to partner with researchers and ship quickly as needs evolve.
We are hiring for this role across multiple levels.
COMPENSATION
$230,000 - $450,000 USD
DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74.
#LI-DZ1
Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai
Location: London
Workplace: Hybrid
WHY HARVEY
At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come.
This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched.
Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you.
At Harvey, the future of professional services is being written today — and we’re just getting started.
ROLE OVERVIEW
In this role, you'll build the systems that power how we adapt and improve leading open-weight models for legal work.
We recently post-trained our first model built for legal work, and we’re now building the team to scale up our post-training efforts. You’ll own the infrastructure behind that effort: distributed training, RL rollout systems, the environments where models learn to use tools and complete complex legal workflows, and the internal systems the team uses to manage data, run evals, and launch and track training jobs. You’ll help decide what we build, what we adopt, and how the pieces fit together. You’ll join a small, high-bar team of hands-on engineers and researchers, where each person owns a large part of the stack.
We’re looking for research engineers who have built demanding ML or distributed systems, can debug across the stack, and want to work closely with researchers to make training faster, more reliable, and easier to iterate on.
Learn more about our work at harvey.ai/research http://harvey.ai/research.
WHAT YOU'LL DO
- Scale our post-training stack, supporting SFT and RL on leading open-weight models.
- Build distributed rollout infrastructure that coordinates model inference, tool execution, and collection of training experience for long-horizon tasks.
- Build the infrastructure for reproducible agent environments where models can interact with documents, tools, and external systems during training and evaluation.
- Own the performance and reliability of training runs, including GPU utilization, checkpointing, failure recovery, and observability.
- Identify and remove bottlenecks across training and inference to shorten the path from research idea to useful result.
- Build the internal tools and services the team runs on: training data management and versioning, running evals and browsing results, and launching and tracking training jobs and experiments.
- Integrate models into production, including serving, latency, cost, and online evaluation, so research reaches customers quickly and safely.
- Partner closely with researchers to turn experimental workflows into dependable systems while keeping room for rapid experimentation.
WHAT YOU HAVE
- Experience building ML infrastructure, distributed systems, or research tooling, with ownership of performance, reliability, and operation.
- Strong Python and generalist software engineering skills across backend services, data systems, and internal tools, with familiarity with PyTorch, JAX, or similar ML frameworks.
- Experience with distributed training or inference, including diagnosing performance bottlenecks and failures across the stack.
- Understanding of post-training workflows; experience with RL rollouts, agent environments, or sandboxed tool execution is a plus.
- Practical judgment about what to build versus adopt, and the ability to partner with researchers and ship quickly as needs evolve.
We are hiring for this role across multiple levels.
DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74.
#LI-DZ1
Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai
Location: New York
Workplace: Hybrid
WHY HARVEY
At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come.
This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched.
Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you.
At Harvey, the future of professional services is being written today — and we’re just getting started.
ROLE OVERVIEW
In this role, you'll build the systems that power how we adapt and improve leading open-weight models for legal work.
We recently post-trained our first model built for legal work, and we’re now building the team to scale up our post-training efforts. You’ll own the infrastructure behind that effort: distributed training, RL rollout systems, the environments where models learn to use tools and complete complex legal workflows, and the internal systems the team uses to manage data, run evals, and launch and track training jobs. You’ll help decide what we build, what we adopt, and how the pieces fit together. You’ll join a small, high-bar team of hands-on engineers and researchers, where each person owns a large part of the stack.
We’re looking for research engineers who have built demanding ML or distributed systems, can debug across the stack, and want to work closely with researchers to make training faster, more reliable, and easier to iterate on.
Learn more about our work at harvey.ai/research http://harvey.ai/research.
WHAT YOU'LL DO
- Scale our post-training stack, supporting SFT and RL on leading open-weight models.
- Build distributed rollout infrastructure that coordinates model inference, tool execution, and collection of training experience for long-horizon tasks.
- Build the infrastructure for reproducible agent environments where models can interact with documents, tools, and external systems during training and evaluation.
- Own the performance and reliability of training runs, including GPU utilization, checkpointing, failure recovery, and observability.
- Identify and remove bottlenecks across training and inference to shorten the path from research idea to useful result.
- Build the internal tools and services the team runs on: training data management and versioning, running evals and browsing results, and launching and tracking training jobs and experiments.
- Integrate models into production, including serving, latency, cost, and online evaluation, so research reaches customers quickly and safely.
- Partner closely with researchers to turn experimental workflows into dependable systems while keeping room for rapid experimentation.
WHAT YOU HAVE
- Experience building ML infrastructure, distributed systems, or research tooling, with ownership of performance, reliability, and operation.
- Strong Python and generalist software engineering skills across backend services, data systems, and internal tools, with familiarity with PyTorch, JAX, or similar ML frameworks.
- Experience with distributed training or inference, including diagnosing performance bottlenecks and failures across the stack.
- Understanding of post-training workflows; experience with RL rollouts, agent environments, or sandboxed tool execution is a plus.
- Practical judgment about what to build versus adopt, and the ability to partner with researchers and ship quickly as needs evolve.
We are hiring for this role across multiple levels.
COMPENSATION
$230,000 - $450,000 USD
DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74.
#LI-DZ1
Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai
Location: Hybrid
About Us
At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company.
At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in.
Location: Austin, TX
About the Role
We are seeking a Data Center Design Engineer to design Cloudflare’s pending and future infrastructure deployments for generational improvement in cost, quality, and speed of deployment. In this role, you will lead electrical design and end-to-end execution for new sites, expansions, and infrastructure upgrades supporting compute, storage, and high-density liquid-cooled GPU deployments. We are looking for someone who excels at progressing many projects in parallel, managing dynamic day-to-day priorities with many stakeholders, and serving as Cloudflare's owner's representative to refine data center design best practices in a high-growth environment. Getting stuff done is a must!
The Data Center Strategy team is part of Cloudflare’s global Infrastructure (INF) team. The INF team grows and manages Cloudflare’s global data center/PoP footprint, enabling Cloudflare’s tremendous growth with compute, network, and data center infrastructure, utilizing an extensive range of global partner vendors.
What you'll do:
Translate data center capacity requirements into actionable white space design and/or rack plans within individual data center contract constraints for power, coolingManage implementation phase of cage projects with data center providersDesign low voltage structured cabling, fiber, cross-connect & conveyance infrastructure as well as any supporting infrastructure on the data center ceiling/floorWork with supply chain team on rack integration plans and location deployment qualification
Work cross-functionally with Cloudflare data center engineering team and other internal teams (capacity planning, network strategy, security) to verify scope and solution and create repeatable standard installation procedures
Take ownership of and lead projects to design and implement data center expansions or new data centers on tight deadlines with minimal oversight
Technical support in negotiations with external data center partners
Assist in RFP preparation, review and cost/engineering analysis
Review one-line diagrams and cooling equations for new and existing data centers (Data Center M&E)
Power component (PDU) review/approval for Hardware sourcing team
Implement, document and maintain power consumption tracking tools and fulfil ad-hoc reporting requests
Research new and innovative power efficiency technologies and programs
Travel up to 25% to perform infrastructure audits, validate data center construction work and buildouts, and participate in commercial processes.
Develop and execute modular and prefabricated data center construction strategies to accelerate time-to-market and optimize cost efficiency
Perform electrical short-circuit, coordination, arc flash, and load flow engineering studies to ensure system reliability and compliance
Other duties as assigned
Partner with Hardware Sourcing and SRE/Infrastructure teams to validate PDU specifications, rack integration plans, and power distribution topologies across global PoP footprints
Lead electrical design and end-to-end execution for new sites, expansions, and infrastructure upgrades from site qualification and basis of design through energization, commissioning, and operational handover
Serve as Cloudflare's electrical owner's representative, defining design criteria, scopes, deliverables, responsibility matrices, review gates, and acceptance requirements for data center operators, consulting engineers, contractors, commissioning agents, utilities, and vendors
Design and review utility-to-rack infrastructure, including utility service, transformers, switchgear, generators, UPS systems, transfer systems, modular and prefabricated electrical assemblies, busway, feeders, whips, rack PDUs, grounding, and metering
Define electrical interfaces and auxiliary-load requirements for direct-to-chip liquid cooling, coolant distribution units (CDUs), pumps, controls, leak detection, facility water systems, and heat-rejection equipment
Develop and review basis-of-design documents, single-line diagrams, specifications, equipment schedules, calculations, sequences of operation, and interface control documents
Oversee technical acceptance of FAT, SAT, Level 1–5 staged commissioning, integrated systems testing, failure-mode testing, deficiency closure, and turnover documentation
Define EPMS, metering, telemetry, and capacity-tracking requirements for operational power and capacity management
Requirements
Bachelors or equivalent experience plus 5+ years of experience in data center mechanical and electrical design and operations/deployment/installation, P.E. certification or equivalent a plus
Experience in HVAC, Chilled Water Systems, Condenser Water Systems, Pump controls, Glycool/Glycols, AHU units (DX, split, RTU, CRAC, etc.), CRAH, Raised Floor Systems, HOT/COLD aisle containment and Building Management Systems
Understanding of basic electrical theory (voltage, current, power), basic circuit design & analysis, and single- and three-phase power systems
Familiarity with Data Center M&E infrastructure design concepts, electrical/UPS topologies, cooling methodologies (central plant, room cooling, high density thermal strategies)
Familiarity with industry standards for resilient Data Center design and Uptime Institute Tier Classifications
Excellent verbal, written communication and presentation skills
Experience working with multiple time zones and multiple cross-functional teams
Experience working on time sensitive projects with delivery responsibility under pressure
Understanding of network hardware architecture, data center switching/routing infrastructure, and optical line/transceiver power and thermal profiles
Experience acting as an owner's technical representative, governing external delivery partners, reviewing third-party designs, resolving technical disputes, and driving noncompliance and project risks through documented closure
Expertise in medium- and low-voltage distribution, transformers, generators, UPS systems, switchgear, transfer systems, busway, grounding, protection, and rack-level power architectures for high-density deployments
Understanding of direct-to-chip liquid cooling and the electrical dependencies of CDUs, pumps, controls, facility water systems, and heat-rejection equipment
Experience with construction administration, equipment testing, energization planning, staged commissioning, integrated systems testing, deficiency management, and failure-mode testing
Experience with utility coordination, design-deviation governance, power-quality or incident investigations, and lifecycle management of mission-critical electrical infrastructure
Bonus Points
Degree in electrical/mechanical engineering or IT a plus
Experience in large-scale mission critical facility infrastructure design, construction, commissioning, and/or operations a plus
Experience with industry standards and building codes including NFPA 70/NEC, IEEE, NEMA, ANSI, UMC, ASHRAE, UBC, LEED, and Uptime Institute standards
Knowledge of programming languages a plus
JIRA, Confluence admin-level experience a plus
AutoCAD experience a plus
Experience with FLOTHERM or Tileflow a plus
Hands-on experience with hardware validation, power/cooling capacity modeling, or thermal simulation tools (such as FLOTHERM or Tileflow)
Familiarity with systems programming, scripting (Python, Go, or Bash), or automation workflows for power/infrastructure tracking
Experience with NVIDIA DGX, GB200/GB300 NVL, OCP Open Rack, or comparable liquid-cooled GPU platforms and AI factory reference architectures
Experience with ETAP, SKM PowerTools, EasyPower, or equivalent software for dynamic modeling, generator transient analysis, harmonic analysis, and UPS compatibility assessment
Experience with EPMS/BMS integration, branch-circuit monitoring, rack-level telemetry, metering, capacity forecasting, or automated infrastructure reporting
What Makes Cloudflare Special?
We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet.
Project Galileo
: Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost.
Athenian Project
: In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states.
1.1.1.1
: We released
1.1.1.1
to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our
privacy commitment
and ensure that no user data is sold to advertisers or used to target consumers.
Sound like something you’d like to be a part of? We’d love to hear from you!
Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs. More details about this will be available at that stage of the interview process.
This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license.
Cloudflare is proud to be an equal opportunity employer. We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness. All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual
race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law.
We are an AA/Veterans/Disabled Employer.
Cloudflare provides reasonable accommodations to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment. If you require a reasonable accommodation to apply for a job, please contact us via e-mail at
hr@cloudflare.com
or via mail at 101 Townsend St. San Francisco, CA 94107.
Location: Canada, Vancouver, BC
Workplace: OnSite
Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further.
Location: Vancouver, Canada
Employment Type: Full-Time, 6-Month Fixed-Term Contract
Work Arrangement: On-Site
ABOUT THE ROLE
We are looking for a Robotics Test & Validation Engineer to join our Vancouver team on a 6-month, full-time fixed-term contract, supporting the testing, characterization, and validation of advanced robotic components and subsystems.
You will work hands-on with robotic actuators, joints, mechanisms, grippers, and dexterous robotic hands, helping ensure that our hardware meets performance, reliability, and safety requirements.
Working closely with Mechanical, Electrical, Controls, and Embedded Software engineers, you will develop and execute test procedures, build test fixtures, analyze performance data, and contribute to continuous design improvements.
This position offers the potential to transition into a permanent, full-time role based on individual performance, business needs, and future opportunities within the team.
This is an exciting opportunity for an early-career or intermediate engineer to gain hands-on experience in robotics testing, actuator characterization, automated validation, and hardware development while learning from experienced robotics professionals.
WHAT MAKES THIS ROLE EXCITING
- Work hands-on with advanced humanoid robotic hardware, including actuators, joints, grippers, and dexterous robotic hands.
- Develop and execute tests that directly influence the performance, reliability, and safety of next-generation humanoid robots.
- Gain practical experience in actuator characterization, sensor calibration, motor control, and automated testing.
- Build and improve custom test rigs and validation systems for complex electromechanical components.
- Collaborate with a multidisciplinary robotics team spanning mechanical, electrical, controls, and embedded software.
- See your testing and engineering insights directly contribute to real robotic hardware improvements.
WHAT YOU’LL DO
- Design, plan, and execute test procedures for robotic actuators, joints, mechanisms, grippers, and robotic hands, ensuring performance against engineering requirements.
- Build, assemble, and maintain test fixtures, test rigs, and measurement setups for functional, dynamic, endurance, and reliability testing.
- Perform actuator and sensor calibration, including encoders and motor control loops for current, velocity, and position, under the guidance of Controls engineers.
- Support actuator and subsystem characterization, measuring parameters such as torque output, friction, inertia, backlash, stiffness, thermal behavior, efficiency, and backdrivability.
- Develop and improve automated test procedures and hardware/software test setups to evaluate motor performance, force output, operating limits, and system reliability.
- Conduct lifecycle, stress, thermal, endurance, and environmental testing on robotic components and subsystems.
- Collect, analyze, and interpret test data, identifying performance trends, anomalies, and potential failure modes.
- Prepare clear test reports, performance summaries, and validation documentation, communicating findings to engineering teams.
- Work closely with Mechanical, Electrical, Controls, and Embedded Software engineers to identify root causes of hardware failures and support design improvements.
- Collaborate with design engineers to define testable requirements, acceptance criteria, tolerances, and performance metrics.
- Support incoming quality inspections, assembly-level verification, and hardware troubleshooting.
- Assist with closed-loop actuator testing, evaluating system behavior, stability, and response under different operating conditions.
- Maintain organized test documentation, procedures, results, and equipment records.
- Contribute to improvements in testing efficiency, automation, repeatability, and validation processes.
WE’RE LOOKING FOR
- 1–4 years of relevant hands-on experience in robotics testing, hardware validation, mechatronics, electromechanical systems, or a related technical field.
- Bachelor's degree or technical diploma in Mechanical Engineering, Electrical Engineering, Mechatronics, Robotics, or a related discipline, or equivalent practical experience.
- Hands-on experience testing, troubleshooting, or validating mechanical, electrical, or electromechanical systems.
- Understanding of electric motors, actuators, sensors, mechanical mechanisms, and basic control systems.
- Experience working with laboratory and measurement equipment, such as oscilloscopes, multimeters, power supplies, force sensors, and data acquisition systems.
- Familiarity with test procedures, data collection, performance measurements, and technical reporting.
- Basic understanding of motor control principles, including current, velocity, and position control.
- Experience with Python, MATLAB, LabVIEW, or similar tools for test automation, data analysis, or engineering calculations.
- Ability to read and interpret mechanical drawings, electrical schematics, and technical documentation.
- Strong analytical and practical problem-solving skills, with the ability to identify issues and support troubleshooting activities.
- Good attention to detail when performing precision measurements, calibration, and hardware testing.
- Ability to collaborate effectively with Mechanical, Electrical, Controls, and Embedded Software engineering teams.
- Comfortable working in a fast-paced R&D environment with evolving hardware designs and testing priorities.
WHAT WE OFFER
- Enjoy a modern Vancouver office environment with complimentary daily lunches, coffee, tea, soft drinks, and snacks.
- Gain hands-on experience developing next-generation humanoid robots.
- Opportunity for long-term career growth, with the potential to transition from a 6-month fixed-term contract into a permanent, full-time position.
- Work directly with advanced robotic hardware and complex electromechanical systems.
- Learn from a highly experienced, multidisciplinary robotics engineering team.
- Contribute to real engineering projects, from prototype assembly through testing and validation.
- Build valuable technical experience in a fast-paced robotics startup environment.
- Join a collaborative, mission-driven team working at the forefront of humanoid robotics.
Location: Remote (United States | Canada)
Workplace: Remote
1Password is growing. We’ve surpassed $500M in ARR and we’re continuing to accelerate, earning a spot on the Forbes Cloud 100 for four years in a row and teaming up with iconic partners like Oracle Red Bull Racing.
About 1Password
At 1Password, we’re building the foundation for a safe, productive digital future. Our mission is to unleash employee productivity without compromising security by ensuring every identity is authentic, every application sign-in is secure, and every device is trusted. We innovated the market-leading enterprise password manager and pioneered Unified Access Management, a new cybersecurity category built for the way people and AI agents work today. As one of the most loved brands in cybersecurity, we take a human-centric approach in everything from product strategy to user experience. Over 180,000 businesses, from Fortune 100 leaders to the world’s most innovative AI companies, trust 1Password to help their teams securely adopt the SaaS and AI tools they need to do their best work.
If you're excited about the opportunity to contribute to the digital safety of millions, to work alongside a team of curious, driven individuals, and to solve hard problems in a fast-paced, dynamic environment, then we want to hear from you. Come join us and help shape a safer, simpler digital future.
As a Senior Implementation Consultant on the Customer Success team, you’ll lead technical deployments and customer enablement for 1Password’s product suite, partnering with Project Managers, Technical Account Managers, and Solutions Architects to deliver successful outcomes for commercial and enterprise customers. You’ll combine hands-on configuration, project management, customer training, and technical guidance to help organizations adopt secure, effective ways of working. Your work will help customers protect access to the tools and information they rely on every day, advancing 1Password’s mission to make life easier and safer for everyone.
How we’re using AI today
Across GTM, we’re transforming the way we work with AI. We expect every seller, CSM, and team member to become a power user, using it daily to work smarter and move faster. AI is already embedded in how we operate – from real-time coaching that sharpens how we sell and interact with customers, to surfacing insights that help us anticipate needs – creating more time for meaningful customer engagement. If you’re excited to reshape how you think, make decisions, and drive growth with AI, you’ll feel right at home here.
This is a remote opportunity within Canada and the US.
What we're looking for:
- 5+ years of experience leading technical implementations from planning through launch, with experience in implementation consulting, solutions engineering, customer onboarding, with a proven track record of leading software deployments for large or complex organizations in a related Business-to-Business (B2B) Software as a Service (SaaS) environment.
- Combine strong technical aptitude with project management experience, including managing timelines, coordinating stakeholders, tracking time, and monitoring utilization.
- Configure solutions and answer complex customer questions independently, knowing when to involve the right internal partners.
- Understand identity and security concepts such as identity providers (IdPs), Single Sign-On (SSO), System for Cross-domain Identity Management (SCIM), Active Directory, Mobile Device Management (MDM), and Zero Trust.
- Communicate clearly with technical practitioners, senior stakeholders, and audiences with different levels of technical knowledge.
- Design and deliver engaging virtual and in-person training for enterprise administrators, executives, and end users.
- Use artificial intelligence (AI), automation, and workflow improvements thoughtfully to reduce repetitive work and create reusable solutions.
What you can expect:
- Lead the hands-on configuration, integration, validation, and launch of 1Password’s Enterprise Password Manager, SaaS Manager, Device Trust, and Unified Access.
- Partner with Project Managers on implementation plans, customer coordination, timelines, and delivery risks.
- Collaborate with Technical Account Managers, Solutions Architects, and Customer Success partners to understand customer environments and align technical approaches with business goals.
- Manage a portfolio of active customer engagements, balancing independently led implementations with training and enablement support for Project Manager-led projects.
- Deliver customized technical consultations and training sessions, including occasional onsite sessions for customers.
- Translate technical concepts into clear business value and help customers adopt solutions that support their security and operational goals.
- Identify risks early, drive issues to resolution, and improve playbooks, training materials, processes, and AI-powered workflows that strengthen the customer experience.
- Share implementation expertise with teammates through mentoring, knowledge sharing, and continuous improvement initiatives.
- Travel occasionally for customer engagements, team events, or other business needs.
USA-based roles only: The annual base salary for this role is between $102,000 USD and $148,000 USD, and is commission-eligible. This role is also eligible for immediate participation in 1Password's benefits program (health, dental, 401k and many others), utilization of our generous paid time off, an equity grant and, where applicable, participation in our incentive programs.
Canada-based roles only: The annual base salary for this role is between $102,000 CAD and $148,000 CAD and is commission-eligible. This role is also eligible for immediate participation in 1Password’s generous benefits program (health, dental, RRSP and many others), utilization of our generous paid time off, an equity grant and, where applicable, participation in our incentive programs.
At 1Password, we approach each individual's compensation with a promise of fair market value and internal equity commensurate with experience and specific skill set.
This posting is for an existing vacancy.
Our culture
At 1Password, we prioritize collaboration, clear and transparent communication, receptiveness to feedback, and alignment with our core values: keep it simple, lead with honesty, and put people first.
You’ll be part of a team that challenges the status quo, and is excited to experiment and iterate in search of the best solution. That said, 1Password is not for everyone https://blog.1password.com/inside-the-culture-powering-1passwords-next-chapter/. Our work is demanding, we strive for excellence, and the pace is fast. We need people who are keen to take on challenging problems, who seek feedback to grow, and who are driven to make an impact. If you're looking for a place where you can settle into a comfortable routine, this might not be the right fit for you. We’re looking for individuals who are proven experts in their fields, as well as those who are highly adaptable, can thrive in ambiguity and through change, are curious, and above all deliver results.
How we work with AI
We are committed to leveraging cutting-edge technology—including AI—to achieve our mission. We also understand that thinking critically about AI in its current forms will help us create better solutions for our customers and ourselves with its future forms, which will help us continue to close the gap between security and privacy and achieve our mission. We want team members at all levels to take the approach of actively learning AI best practices, identifying opportunities to apply AI in meaningful ways, and driving innovative solutions in their daily work. Embracing the future of AI isn't just encouraged—it's an essential part of how we will be successful at 1Password.
This approach extends to our hiring process—candidates are welcome to use AI tools responsibly and thoughtfully during the application process. To us, this means we do ask that you join live interviews without using AI tools so we can get to know how you communicate, solve problems, and collaborate with others.
Our approach to work
We recognize the power of both in person collaboration and remote work. Some roles are designated as remote-first, with an expectation that individuals work from their homes majority of the time, while others are designated as in-office roles, with an expectation of being on-site on a regular basis. We recognize that certain roles benefit from regular, in-person connection to support collaboration, team cohesion, and customer engagement.
For all roles, occasional travel may be required. This includes things like: department-wide offsites, quarterly department meetings and periodic customer events. These events are typically held in varying locations across Canada, USA and/or EMEA. In leadership roles, you can expect to travel once per month on average.
Note: All go-to market roles will have an in-person onboarding in Toronto.
What we offer
We believe in working hard, and rewarding that hard work through our benefits. While not an exhaustive list, here is a glance at what we currently offer:
Health and wellbeing
👶 Maternity and parental leave top-up programs
🩺 Competitive health benefits
🏝 Generous PTO policy
Growth and future
📈 RSU program for most employees
💸 Retirement matching program
🔑 Free 1Password account
Community
🤝 Paid volunteer days
🏆 Peer-to-peer recognition through Bonusly
🌎 Remote-first work environment
*Some roles in our GTM team are currently being hired for in-person hybrid work in Toronto and Austin. These roles will specify on the posting.
You belong here.
1Password is proud to be an equal opportunity employer. We are committed to fostering an inclusive, diverse and equitable workplace that is built on trust, support and respect. We welcome all individuals and do not discriminate on the basis of gender identity and expression, race, ethnicity, disability, sexual orientation, colour, religion, creed, gender, national origin, age, marital status, pregnancy, sex, citizenship, education, languages spoken or veteran status. Be yourself, find your people and share the things you love.
Accommodation is available upon request at any point during our recruitment process. If you require an accommodation, please speak to your talent acquisition partner or email us at nextbit@agilebits.com and we’ll work to meet your needs.
Remote work is a part of our DNA. Given that our company was founded remotely in 2005, we can safely say we're experts at building remote culture. That said, remote work at 1Password does mean working from your home country. If you've got questions or concerns about this, your talent partner would be happy to address them with you.
Successful applicants will be required to complete a background check that may consist of prior employment verification, reference checks, education confirmation, criminal background, publicly available social media, credit history, or other information, as permitted by local law.
1Password uses artificial intelligence (AI) and machine learning (ML) technologies, including natural language processing and predictive analytics, to assist in the initial screening of employment applications and improve our recruitment process. See here https://www.ashbyhq.com/downloadables/ashby-bias-audit-08-2024.pdf for the latest third party bias audit information. If you prefer not to have your application assessed using AI/ML features, you may opt out by completing this form https://jobs.ashbyhq.com/1password/automation-notice. For additional information see our Candidate Privacy Notice https://1password.com/files/candidate-privacy-notice.pdf.
Location: Stamford, Connecticut, United States
About the Role
iCapital is seeking an Assistant Vice President Python Developer to join the growing Core Operations Technology team. This individual will have foundational experience in Python programming and a passion for building scalable, high-performance applications. This roles collaborates with senior developers and cross-functional teams to design, develop, test, and maintain software solutions.
Responsibilities
Develop, test, and maintain Python-based applications and scripts.
Write clean, efficient, and well-documented code following best practices.
Debug and resolve issues in existing code.
Collaborate with team members on code reviews, design discussions, and agile development processes.
Participate in the development of REST APIs, web services, and data processing pipelines.
Assist in writing unit tests and automated test cases to ensure quality and performance.
Support the integration of third-party libraries and APIs.
Maintain version control using Git and follow CI/CD practices.
Work with Lambda functions for serverless computing tasks.
Manage and interact with AWS S3 buckets for file storage and retrieval.
Stay updated with emerging technologies and contribute ideas for improvements.
Qualifications
Bachelor's degree in computer science, software engineering, or a related field or equivalent relevant experience
5-7 years of Python development experience, including Python, web scraping tools (Playwright, Selenium), REST APIs, JSON, and Git
Working knowledge of SQL and databases (PostgreSQL, MySQL), Linux and Unix environments, and web frameworks such as Flask or Django
Experience with AWS services, including Lambda, S3, and serverless application development; familiar with Azure or GCP is a plus
Exposure to testing frameworks such as pytest and unittest, Docker, front-end technologies (HTML, CSS, JavaScript), and Agile methodologies
Strong analytical, problem-solving, communication, and collaboration skills, with attention to detail and a commitment to quality
Benefits
The base salary range for this role is $110,000 to $135,000. iCapital offers a compensation package which includes salary, equity for all full-time employees, and an annual performance bonus. Employees also receive a comprehensive benefits package that includes an employer matched retirement plan, generously subsidized healthcare with 100% employer paid dental, vision, telemedicine, and virtual mental health counseling, parental leave, and unlimited paid time off (PTO).
We believe the best ideas and innovation happen when we are together. Employees in this role will work in the office Monday-Thursday, with the flexibility to work remotely on Friday.
For additional information on iCapital, please visit
https://www.icapitalnetwork.com/about-us
Twitter: @icapitalnetwork | LinkedIn:
https://www.linkedin.com/company/icapital-network-inc
| Awards Disclaimer:
https://www.icapitalnetwork.com/about-us/recognition/
iCapital is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
Location: Canada, Vancouver, BC
Workplace: OnSite
Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further.
Location: Vancouver, Canada
Employment Type: Full-Time, 6-Month Fixed-Term Contract
Work Arrangement: On-Site
ABOUT THE ROLE
We are looking for a Robotics Prototype Engineer to join our Vancouver team on a 6-month, full-time fixed-term contract, supporting the assembly, integration, testing, and validation of advanced humanoid robotic systems.
You will work hands-on with robotic hands, arms, end-effectors, actuators, sensors, and complex electromechanical assemblies, helping bring new robotic designs from engineering concepts to functional prototypes.
Working closely with our Mechanical, Electrical, Embedded Software, and Controls teams, you will support prototype builds, troubleshoot hardware issues, perform calibration, and contribute to continuous design improvements.
This opportunity is ideal for an early-career or intermediate engineer who enjoys practical engineering challenges, wants to strengthen their robotics expertise, and is excited to learn from a highly experienced multidisciplinary engineering team.
WHAT MAKES THIS ROLE EXCITING
- Work hands-on with advanced humanoid robotic hardware, including dexterous hands, arms, actuators, and precision mechanisms.
- Gain practical experience in robotic assembly, sensor integration, calibration, and hardware troubleshooting.
- Collaborate with experienced robotics engineers across mechanical, electrical, embedded software, and controls disciplines.
- Contribute directly to prototype development, testing, and continuous design improvements.
- Build valuable experience in a fast-moving robotics R&D environment, working on real humanoid robots.
WHAT YOU’LL DO
- Assemble and integrate robotic prototypes and electromechanical systems, including robotic hands, arms, end-effectors, actuators, sensors, and mechanical assemblies.
- Support prototype builds, hardware integration, and system commissioning, following engineering drawings, schematics, and assembly instructions.
- Perform functional testing, troubleshooting, and validation of robotic components and assemblies.
- Assist with sensor calibration and actuator commissioning, ensuring components operate according to engineering requirements.
- Work closely with Mechanical, Electrical, Embedded Software, and Controls engineers to identify and resolve hardware integration issues.
- Support rapid prototyping and design iterations, including mechanical adjustments, wiring modifications, component replacement, and testing.
- Perform basic electrical and mechanical troubleshooting, using appropriate laboratory equipment and diagnostic tools.
- Record test results, assembly observations, technical issues, and corrective actions, maintaining accurate engineering documentation.
- Support routine maintenance, repairs, and upgrades of robotic prototypes and subassemblies.
- Provide practical feedback to engineering teams to improve assembly processes, component reliability, and prototype performance.
- Maintain an organized and safe working environment, including proper handling of specialized tools, equipment, and sensitive robotic components.
WE’RE LOOKING FOR
- 1–4 years of relevant hands-on experience in robotics, mechatronics, electromechanical assembly, hardware prototyping, or a related technical field.
- Bachelor's degree or technical diploma in Robotics, Mechatronics, Mechanical Engineering, Electrical Engineering, or a related discipline, or equivalent practical experience.
- Hands-on experience assembling, testing, or troubleshooting mechanical and electrical systems.
- Understanding of electromechanical components, including motors, actuators, sensors, wiring, and mechanical assemblies.
- Ability to read and follow mechanical drawings, electrical schematics, wiring diagrams, and technical instructions.
- Experience with soldering, wiring, connectors, cable assembly, or other precision assembly techniques.
- Familiarity with basic electrical and mechanical testing equipment, such as multimeters, power supplies, and precision measurement tools.
- Basic understanding of sensor integration, calibration, or actuator operation.
- Strong practical problem-solving skills and a willingness to learn new technologies and engineering methods.
- Good attention to detail when working with precision components and complex assemblies.
- Ability to work effectively in a collaborative, fast-paced engineering environment.
WHAT WE OFFER
- Enjoy a modern Vancouver office environment with complimentary daily lunches, coffee, tea, soft drinks, and snacks.
- Gain hands-on experience developing next-generation humanoid robots.
- Opportunity for long-term career growth, with the potential to transition from a 6-month fixed-term contract into a permanent, full-time position.
- Work directly with advanced robotic hardware and complex electromechanical systems.
- Learn from a highly experienced, multidisciplinary robotics engineering team.
- Contribute to real engineering projects, from prototype assembly through testing and validation.
- Build valuable technical experience in a fast-paced robotics startup environment.
- Join a collaborative, mission-driven team working at the forefront of humanoid robotics.
Location: Remote; Ireland; Europe; United States; Poland; United Kingdom
Workplace: Remote
ABOUT ELEVENLABS
ElevenLabs is an AI research and product company transforming how we interact with technology.
We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always.
We have expanded from voice into three main platforms:
- ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale.
- ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages.
- ElevenAPI gives developers access to our leading AI audio foundational models.
Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you.
HOW WE WORK
- High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy.
- Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you.
- AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations.
- Excellence everywhere: Everything we do should match the quality of our AI models.
- Global team: We prioritize your talent, not your location.
WHAT WE OFFER
- Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible.
- Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities.
- Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend.
- Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose.
- Annual team offsite: Each year, we bring your entire team together in a new location - past offsites have included Croatia, Italy and Cancún
- Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend.
ABOUT THE ROLE
The Payments team owns how ElevenLabs charges customers: billing, usage tracking, pricing and payments across self-serve and enterprise. Everything we do has to be correct, because it underpins the company's revenue and is immediately visible to every customer and team.
We are hiring full stack engineers (backend leaning) to expand and evolve our payments systems. Your responsibilities might include:
- Building and maintaining usage tracking so that requests are metered accurately without impacting latency.
- Leading our migration of enterprise pricing and usage processing, including new stream-processing services for usage events.
- Making it easy for customers to upgrade and pay, including paying through different entities and supporting new payment providers.
- Working with Finance and Tax teams to meet compliance, audit and reporting requirements.
- Enabling pricing and Growth experiments with Growth and product teams.
- Debugging complex customer billing scenarios: piecing together what happened from the customer's experience, logs and code, and fixing the cause.
- Collaborating with Sales, FDEs, Finance and engineers across the company.
Much of this work extends or replaces systems that already exist, so you will scope carefully, plan migrations, and roll changes out without disrupting customers.
REQUIREMENTS
We do not require any formal experience, certifications, or degrees. Instead, we are seeking engineers who can show they have solved impressively hard problems, through past projects or GitHub contributions. We do require:
- Expertise in Python.
- A strong background in backend development.
- Experience with common software and system design patterns and infrastructure, including APIs, cloud infrastructure tools, storage solutions and data structures.
- Strong test design and security fundamentals.
- Care and attention to detail when changing live systems that handle money.
- The ability to learn a large existing system quickly and to debug complex production issues.
Bonus:
- Experience with payment processing providers, or with billing and usage-based pricing systems
- Experience with stream processing or high-throughput event pipelines.
- Experience working with finance, tax or audit requirements.
- Experience with Kubernetes.
LOCATION
Our team is based across the UK, EU and US, and this is our main focus. We are flexible for exceptional candidates elsewhere. You can work remotely, or from our offices in Dublin, London, New York, San Francisco and Warsaw.
#LI-Remote
We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.
Location: Remote; Ireland; Europe; United States; Poland; United Kingdom
Workplace: Remote
ABOUT ELEVENLABS
ElevenLabs is an AI research and product company transforming how we interact with technology.
We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always.
We have expanded from voice into three main platforms:
- ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale.
- ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages.
- ElevenAPI gives developers access to our leading AI audio foundational models.
Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you.
HOW WE WORK
- High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy.
- Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you.
- AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations.
- Excellence everywhere: Everything we do should match the quality of our AI models.
- Global team: We prioritize your talent, not your location.
WHAT WE OFFER
- Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible.
- Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities.
- Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend.
- Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose.
- Annual team offsite: Each year, we bring your entire team together in a new location - past offsites have included Croatia, Italy and Cancún
- Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend.
ABOUT THE ROLE
Core Platform builds the foundations every other team at ElevenLabs builds on: how users, workspaces and permissions work across our products. Our systems sit on the path of every request and are relied on by millions of users and by enterprise customers, so correctness, security and safe rollout matter as much as speed.
We are hiring full stack engineers (backend leaning) for two focus areas. Depending on the team you join, your responsibilities might include:
Workspaces & User Management (serving external customers)
- Building and improving the building blocks customers touch directly: API keys, login experience, analytics, admin tooling, workspace security and more
- Working closely with Sales, FDEs and customer teams to turn enterprise and self-serve feedback into the right improvements, and helping large customers with complex organisational structures.
- Shipping customer-facing features end to end, from backend services to the admin and settings UI.
Permissions & Resources (serving ElevenLabs engineering teams)
- Designing and building generic resource and permissioning services that product teams use to build features safely and quickly.
- Solving hard, largely greenfield problems at scale, for example how a customer with a million agents assigns and manages access.
- Working across product teams to understand their needs, and driving adoption with changes that don't require every team to rework their code.
In both teams you will:
- Scope work as part of a large existing system: understand what exists, what could go wrong on rollout, whether a migration is needed, and how downstream teams are affected.
- Roll out changes safely and with minimal disruption to existing users, teams or systems.
- Debug and operate what you build, working from customer reports, logs and code.
- Own features from scoping to completion, with the support of experienced engineers who are happy to mentor.
REQUIREMENTS
We do not require any formal experience, certifications, or degrees. Instead, we are seeking engineers who can show they have solved impressively hard problems, through past projects or GitHub contributions. We do require:
- Expertise in Python.
- A strong background in backend development, with comfort working across the stack where the work needs it.
- Experience with common software and system design patterns and infrastructure, including APIs, cloud infrastructure tools, storage solutions and data structures.
- Strong test design and security fundamentals.
- Care and attention to detail when changing live, business-critical systems, and the ability to learn a large existing codebase quickly.
- Comfort with ambiguity: working out what should be built, and prioritising among competing signals.
Bonus:
- Experience with authentication, authorization or permissioning (OAuth, SSO/SCIM, RBAC or similar).
- Experience with Kubernetes.
- Experience building internal platforms or services used by other engineering teams.
LOCATION
Our team is based across the UK, EU and US, and this is our main focus. We are flexible for exceptional candidates elsewhere. You can work remotely, or from our offices in Dublin, London, New York, San Francisco and Warsaw.
#LI-Remote
We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.
Location: Dallas; Austin; Houston
Workplace: Remote
THE ROLE
As an Enterprise Solutions Architect at ClickHouse, you'll own the technical side of the sales cycle for enterprise accounts in Texas. This role serves our Enterprise segment in Texas, and the ideal candidate would be based in Austin or Dallas.
You'll engage with data platform engineers, architects, SRE, and the VP who owns the standard - and your job is to design something that satisfies all of them and then prove it at production scale.
Getting an enterprise team there usually means moving them off something else, so most of your work is making that migration credible: the architecture, benchmarks run against their own data, and a plan their engineers believe they can execute.
This is a role for engineers who want the hard version of the problem: real scale, real constraints, and an incumbent to displace. Prior pre-sales experience helps but isn't required - technical depth is non-negotiable.
WHAT YOU WILL BE DOING
- Own the technical evaluation for enterprise accounts - from discovery through POC or competitive bake-off, architecture sign-off, security review, and first production workload.
- Engage across a wider set of stakeholders than a single team: data platform engineers, architects, SRE, security, and the executive who owns the standard. Design solutions that hold up with all of them in the room.
- Design for production scale - sizing, sharding and replication strategy, ingestion topology, tiered storage, cost modeling, and what happens when something fails at 3am.
- Win competitive displacements against Elasticsearch, Splunk, Snowflake, BigQuery, Druid, Pinot, and homegrown systems, using benchmarks the customer's own team can reproduce.
- Own the migration plan - sequencing, dual-run, validation, and cutover - so the customer's team can see exactly how they get to production.
- Clear the security and procurement path: questionnaires, compliance artifacts, network and identity architecture, and BYOC or private deployment requirements.
- Partner closely with Enterprise AEs to progress and close opportunities - you own the technical win, they own the commercial close. Build the TCO case against the incumbent/competition together.
- Advocate for customer needs internally with Product and Engineering - you're the voice of the technical buyer inside ClickHouse.
- Contribute reference architectures, benchmark harnesses, migration guides, and objection handling material that help the team scale what's working.
WHAT YOU BRING
- Deep technical foundation in data infrastructure - built through experience as a data engineer, platform engineer, software engineer, DBA, or solutions architect.
- Production experience with analytical databases (ClickHouse, Snowflake, BigQuery, Redshift, Druid, Pinot, Vertica) and with operating them, not just querying them.
- Distributed systems judgment: partitioning, replication, consistency trade-offs, query execution, and a felt sense for where things break under load.
- Fluency across the modern data stack - Kafka and CDC pipelines, orchestration, object storage, BI tools, and at least one major cloud (AWS, GCP, Azure) at architecture level.
- Experience running a technical evaluation against a named competitor and winning it, including designing the migration off the incumbent and the parts of it that are genuinely hard.
- Customer-facing experience with real stakes - pre-sales, consulting, technical account management, or a staff-level engineering role that put you in front of customers.
- Strong written and verbal communication. You can whiteboard with a staff engineer in the morning and present to a VP of Engineering in the afternoon.
- Comfort with longer cycles and more stakeholders. Enterprise evaluations don't close in three weeks, and you know how to keep one moving without letting it stall.
- Willingness to say ClickHouse isn't the right tool for a given workload when that's true.
PERKS
- Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries.
- Healthcare - Employer contributions towards your healthcare.
- Equity in the company - Every new eligible team member who joins our company receives equity.
- Time off - Flexible time off in the US, generous entitlement in other countries.
- A USD$500 Home office setup if you’re a remote employee.
- Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites.
CULTURE - WE ALL SHAPE IT
As part of a rapidly scaling start-up, you will be instrumental in shaping our culture.
Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse.
EQUAL OPPORTUNITY & PRIVACY
ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as 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.
Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.
Location: Dallas-Fort Worth, TX
Via is using technology to transform transportation around the world. From changing a single person’s daily commute to reducing humanity’s collective environmental footprint — we’ve got huge goals.
As a
Driver Support Agent
, you will focus on supporting prospective drivers across all North America markets throughout their onboarding journey. You will play a crucial role in guiding drivers through compliance steps, conducting helpful outreach, and resolving onboarding roadblocks to ensure a smooth, welcoming experience.
**This is a full-time, in-person position requiring availability Monday through Friday, 9:00 AM to 5:00 PM.**
What You’ll Do:
Follow up with driver applicants across all North America markets to offer support and guide them through their application
Assist prospective drivers with required compliance steps, background checks, and documentation requirements
Troubleshoot applicant inquiries and resolve friction points throughout the onboarding process
Conduct proactive outreach to candidates needing additional support or follow-up
Identify and escalate complex compliance or technical issues to appropriate internal teams
Who You Are:
Tech-savvy; strong computer and technical skills, including experience with numerous software programs and the more standard Microsoft Office and Google Suite. CRM tools like Salesforce are a plus!
Strong mental acuity and analytical problem-solving skills
A comfortable multitasker who enjoys live operations and can quickly prioritize and switch between tasks
Skilled in prioritizing and strong delegation skills to optimize team performance
Able to manage multiple priorities simultaneously while maintaining accuracy and focus
A clear communicator with excellent reading comprehension and writing skills
Customer-service oriented; able to de-escalate situations and bring down the temperature with escalated stakeholders
Calm, cool, and collected—able to stay even-keeled during urgent or high-pressure issues
A well-rounded team player who takes ownership of (and pride in) your work
Ownership-driven: you take charge of ongoing issues and manage them through to resolution
Comfortable with ambiguity; able to create solutions even when no SOP exists
Demonstrated leadership with strong prioritization skills
An action-oriented executor: you take initiative to solve problems and get the job done
Compensation and Benefits
Final salary will be determined by the candidate’s experience, knowledge, and skills. Salary reflected does not include equity or variable pay, where applicable
Salary Range: $20-$22 / hour
We are proud to offer a generous and comprehensive benefits package, including free medical plans and 401K matching.
There has never been a more exciting time to be on the cutting edge of public mobility. Ready to join the ride?
Via is an equal opportunity employer.
Location: Singapore, Singapore
Workplace: Remote
ROLE SUMMARY
We’re hiring a manager to lead our Developer Advocates in APJ. The team covers two things: getting more developers in the region to discover and try Temporal, and helping our biggest customers get more out of it once they’re on board. You’ll own both.
You’ll manage a group of developer advocates, but you won’t be stuck in meetings all day. We expect you to still give talks, run workshops, write code, and get in front of customers yourself. You’ll work closely with our Marketing department on events and community, and with Sales, Solutions Architects, and Developer Success on customer accounts. Good relationships with all of them are your key to success.
What you’ll do
- Hire, coach, and support a team of Developer Advocates spread across the region. Set priorities, then trust them to adapt to their own markets and audiences.
- Decide how the team splits its time between community and customer work. Sort incoming customer requests by deal size, stage, and strategic value, and make the tough calls when there’s more demand than people, without letting community work get pushed aside.
- Work with Marketing to plan where we show up in APJ: which conferences to speak at and which meetups to start or support.
- Create and translate content that developers in the region will use, like talks, tutorials, blog posts, videos, sample apps, and livestreams.
- Find the people in local communities who care about the problems Temporal solves and help them lead, contribute to open source, and spread the word.
- Track whether it’s working: are more developers signing up, trying Temporal, and sticking around?
- Own DevDays, our onsite customer engagement program, in APJ from start to finish. Work with the Global DevDays lead to tailor each one to the customer’s use cases.
- Spot the engineers inside each account who could become champions, and make sure someone follows up with them.
- Take what you hear from developers and customers back to Docs, Education, and Product, especially around localization and what different markets need.
What you bring
- Experience in developer advocacy, solutions engineering, developer education, or community work, ideally at a developer-focused or enterprise software company. You’ve worked on both sides: reaching developers in the broader community and working with engineering teams inside large customers.
- Experience managing people, or you’re ready to take that step. Bonus if you’ve led a team spread across multiple time zones.
- Real technical depth. You can build things, demo them, give a talk, and answer hard questions from experienced engineers.
- You like running programs that work the same way every time. You’re organized about requests, priorities, and following through on commitments.
- You’re comfortable working with Marketing, Sales, SAs, Dev Success, and Product, and you can explain how technical work leads to business results.
- You’ve worked across different cultures and markets, and you know APJ isn’t one audience.
- You care about helping developers, and you’d rather build trust than push a product.
- Experience with durable execution, workflow orchestration, or distributed systems (Temporal especially) is a big plus.
Temporal Technologies is an Equal Opportunity Employer. Temporal Technologies does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status, or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need. We embrace and celebrate differences and diversity.
Temporal is committed to providing access, equal opportunity, and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. If you need to request a reasonable accommodation, please let your Recruiter know so we can assist.
Location: San Francisco
Asana is hiring a Head of IT Systems Engineering to lead the team that powers how every Asana employee works. Reporting to the Head of IT, this San Francisco-based leader owns the strategy, architecture, and operations behind our SaaS productivity applications, corporate endpoints, identity, and user lifecycle, setting the standards and roadmap that keep every employee secure and productive. You will also influence the way Asana evaluates, adopts, and governs the tools and platforms our employees rely on. You will be responsible for the Client Platform Engineering, Application Engineering, and Identity & Integrations teams, who deliver this work. This role has one manager level report.
You ask good questions, are confident in not knowing everything, and would rather build with others than go it alone. You are crisp and detail oriented, but comfortable working outside the boundaries when the situation calls for it. You bring a proven record of success, a passion for technology, and, like us, you value hard work and fun in equal measure.
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
Develop the multi-year vision, roadmap, and architecture for Systems Engineering, aligned with Asana’s business priorities and Asana’s broader AI strategy
Accelerate an Agentified Asana, helping teams across Asana embrace our tools and reduce the friction of manual work.
Partner with leaders across Asana to build and maintain an efficient and effective portfolio of SaaS tools to enable all Asanas to do their best work.
Lead, develop, and grow the Client Platform Engineering, Application Engineering, and Identity & Integrations teams, including hiring, performance management, succession planning, and career development
Own the strategy and operation of corporate endpoint management, SaaS application management, identity, and the full user lifecycle
Drive IT’s AI strategy, from evaluating and governing platforms such as Claude, Gemini, and OpenAI to building AI agents and automation for onboarding, access requests, support, and compliance workflows
Partner with Security, Legal, and Privacy to set AI usage policies, data access controls, and vendor risk standards, including identity-based access and data loss prevention for AI tools and integrations
Set client platform standards and drive excellence in system performance, patching, and configuration compliance
Partner with IT Support, IT Infrastructure, and Security leadership to resolve issues, reduce risk, and improve the employee experience
Represent Systems Engineering to senior stakeholders, communicating priorities, tradeoffs, and results clearly
About you
10+ years of IT experience, including 5+ years directly leading teams of systems engineers and software engineers in a fast-paced, cloud-first environment
Proven ownership of purchasing, inventory management, and budgeting at scale
Strong, hands-on knowledge of current IAM practices and cloud-based identity, SSO, SAML, and SCIM
Experience with hosted cloud applications, including Okta, Google Workspace, Asana, Figma, and Slack
Experience establishing governance for emerging technology, including AI usage policy, data protection, and vendor risk review
Track record of setting strategy and roadmaps, then delegating effectively while staying close enough to the details to coach and unblockExperience with configuration management and automation tools such as JAMF, Intune, Puppet, and Munki
Working knowledge of scripting and API integration (REST, OAuth, Python, PowerShell, Bash, or equivalent)
Hands-on experience with enterprise AI platforms such as Claude, and OpenAI, including deployment, administration, and integration through APIs, connectors, and MCP servers
Demonstrates curiosity about AI tools and emerging technologies, with a willingness to learn and leverage them to enhance productivity, collaboration, or decision-making
How you work
A strong mix of problem solving and a positive, service-oriented attitude
Excellent communication and documentation skills, with the ability to influence senior stakeholders and cross-functional partners
Curiosity and a bias toward experimenting with AI in your own work, and the ability to lead a team through rapid change
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 $252,000 - $296,000. 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 #LI-SA
About us
Asana is a leading platform for human + AI collaboration. Millions of teams around the world rely on Asana to achieve their most important goals, faster. Asana has been named to Fortune's Best Workplaces for 7+ years and recognized by Fast Company, Forbes, and Gartner for excellence in workplace culture and innovation. We offer an exceptional office-centric culture while adopting the best elements of hybrid models to ensure that every one of our global team members can work together effortlessly. With 13+ offices all over the world, we are always looking for individuals who care about building technology that drives positive change in the world and a culture where everyone feels that they belong.
We believe in supporting people to do their best work and thrive. Our goal is to ensure that Asana upholds an environment where all people feel that they are respected and valued, whether they are applying for an open position or working at the company. We provide equal employment opportunities to all applicants 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 law.
Join Asana’s Talent Network
to stay up to date on job opportunities and life at Asana.
ОфисseniorUnited States; Canada; We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities
ГибридSan Francisco
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