Location: San Francisco, CA | New York City, NY | Seattle, WA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
Anthropic is seeking Software Engineers to join our Observability team within the Infrastructure organization. The Observability team owns the monitoring and telemetry infrastructure that every engineer and researcher at Anthropic depends on, from metrics and logging pipelines to distributed tracing, profiling, error analytics, alerting, and the dashboards and query interfaces that make it all actionable. By joining this team, you'll have a direct impact on the reliability and operational excellence of Anthropic's research and product systems.
As Anthropic scales its infrastructure across large GPU, TPU, and Trainium clusters, the volume and complexity of operational data is growing by orders of magnitude, and an increasing share of the most challenging problems live below the application layer. We're building next-generation observability systems, including high-throughput telemetry pipelines, fleet-wide continuous profiling, eBPF-based tracing and network visibility, and agentic diagnostic tools, so engineers can detect, diagnose, and resolve issues in minutes rather than hours, even when the answer lies in the kernel, the network stack, or an accelerator rather than on a dashboard.
Key responsibilities
Design and build scalable telemetry ingest and storage pipelines for metrics, logs, traces, and error data across Anthropic's multi-cluster infrastructure
Build observability solutions that give engineers deep, low-overhead visibility into system behavior across the fleet
Own and evolve core observability platforms, leading migrations and architectural improvements that improve reliability, reduce cost, and scale with organizational growth
Build instrumentation libraries, SDKs, and eBPF-based auto-instrumentation to emit high-quality telemetry, with and without code changes
Reduce mean time to detection and resolution by building cross-signal correlation (from kernel-level events up to application traces), unified query interfaces, and AI-assisted diagnostic tooling
Improve fleet-wide efficiency by turning continuous profiling and utilization telemetry into actionable optimization insights across CPU, memory, and accelerator fleets
Partner with Research, Inference, Product, and Infrastructure teams to ensure observability solutions meet the unique needs of each organization
Minimum qualifications
Experience building and operating large-scale observability or monitoring infrastructure
Hands-on experience with observability signals end to end, from instrumentation through ingest to query and analysis
Understanding of high-throughput telemetry pipelines and the tradeoffs involved in collecting, storing, and querying operational data at scale
Comfort debugging below the application layer, in the kernel, the network stack, or the hardware
Excellent communication skills and the ability to partner with internal teams to improve their operational visibility and incident response capabilities
Ability to work independently on ambiguous, high-impact technical challenges
Preferred qualifications
Experience building or operating eBPF-based observability in production, such as tracing, profiling, or network visibility
Experience running continuous profiling at fleet scale, including managing overhead budgets and symbolization
Kernel- and syscall-level debugging experience and performance engineering skills
Experience profiling or instrumenting accelerator workloads
Experience operating metrics systems at very high cardinality, or large-scale telemetry storage backends
Experience with log storage migrations or operating columnar databases (e.g., ClickHouse, BigQuery) for analytics workloads
Experience with OpenTelemetry instrumentation, collector pipelines, and tail-based sampling strategies
Interest in applying AI/LLMs to operational workflows such as automated root cause analysis, anomaly detection, or intelligent alerting
Enthusiasm for building foundational infrastructure
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$320,000
—
$485,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Stamford, Connecticut, United States
About the Role
iCapital is looking to hire an experienced Python Developer with expertise in web scraping, automated portal interactions, and cloud-native deployment using AWS. The ideal candidate will have hands-on experience working with Playwright for browser automation, managing multi-factor authentication (MFA) flows, and deploying scalable scraping tasks via AWS Lambda and related services. This role will assist in architecting and building robust, secure, and scalable scraping solutions that interact with complex web applications and secured portals.
Responsibilities
Assist with the design and implementation of advanced scraping solutions using Python, Playwright, and AWS services.
Automate interactions with JavaScript-heavy and authentication-secured websites, including handling MFA, CAPTCHAs, and session or token-based login flows.
Architect scraping pipelines using serverless AWS components such as Lambda, Step Functions, S3, CloudWatch, and Secrets Manager.
Build systems that scale to support high volumes of data extraction with fault tolerance, retries, and intelligent logging.
Integrate and manage complex workflows across multiple portals, APIs, and data sources.
Contribute to architectural decisions, tooling, and best practices.
Qualifications
Bachelor’s or master’s degree in computer science, software engineering, or related field, or equivalent professional experience
10+ years of experience in Python development, with a strong focus on automation and data extraction
Proven expertise in web scraping using tools like Playwright, Selenium, Scrapy, BeautifulSoup, and requests
In-depth experience handling multi-step authentication flows, including multi-factor authentication (MFA), CAPTCHA solving, and session or cookie management
Proficient in deploying and managing scraping workloads in AWS, particularly Lambda, S3, IAM, CloudWatch, and Secrets Manager
Experience with asynchronous programming, headless browsers, and JavaScript-rendered content
Solid understanding of web protocols (i.e. HTTP, HTTPS, cookies, headers), and the ability to reverse-engineer network calls and authentication mechanisms
Comfortable working with APIs, JSON/XML, and data transformation
Experience with CI or CD pipelines, Docker, and infrastructure as code (i.e. CloudFormation, Terraform)
Familiar with data pipeline orchestration tools such as Apache Airflow or AWS Step Functions
Prior experience scraping from secure or enterprise-level portals (i.e. financial, healthcare, legal)
Background in data engineering or ETL workflows is a plus
Exposure to Python testing frameworks and writing unit or integration tests
Benefits
The base salary range for this role is $150,000 to $180,000. 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: Riyadh, Saudi Arabia; Dubai, United Arab Emirates; Casablanca, Morocco; Cairo, Egypt; Delhi, India
Müller’s Solutions is looking for a skilled Google Cloud Security Engineer to enhance our cloud security framework and protect our critical systems and data on Google Cloud Platform (GCP). In this role, you will be responsible for identifying security vulnerabilities, implementing robust security measures, and ensuring compliance with industry standards while safeguarding our cloud architecture and applications.
Key Responsibilities:
Design, implement, and manage security controls and procedures for GCP services and resources.
Perform risk assessments and security reviews to identify vulnerabilities and prioritize remediation measures.
Monitor and analyze security alerts, events, and incidents across the cloud environment.
Develop and enforce security policies, standards, and best practices for cloud operations.
Implement Identity and Access Management (IAM) policies to control access to GCP resources effectively.
Conduct regular security assessments and collaborate with development teams to ensure secure coding practices.
Stay up to date with the latest security threats, vulnerabilities, and trends in cloud security.
Provide security training and awareness for engineering teams to promote a security-first culture.
Collaborate with incident response teams to investigate and respond to security incidents effectively.
Maintain documentation of security policies, architecture, and processes related to GCP.
Requirements
Requirements:
Bachelor's degree in Computer Science, Information Technology, Cybersecurity, or a related field.
3+ years of experience in cloud security, specifically within Google Cloud Platform.
Strong knowledge of cloud security best practices, frameworks, and compliance (e.g., ISO 27001, NIST, GDPR).
Experience with GCP security tools and services, including Security Command Center, Cloud Armor, and Cloud Identity.
Expertise in Identity and Access Management (IAM), data encryption, and security configurations in GCP.
Familiarity with network security principles and solutions, such as firewalls and VPNs.
Excellent analytical and problem-solving skills, with the ability to handle complex security scenarios.
Strong communication skills to effectively convey technical information to diverse audiences.
Preferred Qualifications:
Google Cloud certifications (e.g., Google Cloud Professional Cloud Security Engineer) are desirable.
Experience in scripting or programming languages, such as Python or Bash, for security automation.
Knowledge of DevSecOps practices and tools.
Experience with tools like SIEM, vulnerability scanners, and penetration testing frameworks.
Benefits
1- Attractive Package.
2- Family Benefits.
3- Visa.
4-Air Tickets.
Location: Riyadh, Saudi Arabia; Cairo, Egypt; Dubai, United Arab Emirates; Casablanca, Morocco; New Delhi, India
Müller’s Solutions is seeking a talented Google Cloud Engineer to join our innovative team. In this position, you will focus on designing, implementing, and managing our Google Cloud Platform (GCP) infrastructure and services. You will work to ensure optimal performance, security, and scalability of our applications hosted in the cloud while collaborating with cross-functional teams to drive cloud initiatives and enhance our cloud capabilities.
Key Responsibilities:
Design, deploy, and manage GCP resources, including Compute Engine, Cloud Storage, and other related services.
Implement Infrastructure as Code (IaC) using tools such as Terraform or Google Deployment Manager.
Oversee the configuration and management of virtual private cloud (VPC) networking and shared services.
Build and maintain CI/CD pipelines to automate deployment and operational processes.
Monitor and optimize GCP performance, including resource utilization and cost management.
Implement robust security practices across GCP resources, ensuring compliance with industry standards.
Integrate GCP services with existing systems and applications through APIs and cloud functions.
Collaborate with DevOps teams to streamline workflows and support development processes.
Prepare and maintain architecture documentation, operational procedures, and best practices guidelines.
Provide technical support to resolve issues and enhance system performance in the GCP environment.
Requirements
Requirements:
Bachelor's degree in Computer Science, Information Technology, or a related field.
3+ years of experience in cloud engineering or architecture, specifically within Google Cloud Platform.
Deep understanding of GCP services, including App Engine, Cloud Functions, Cloud Run, and Kubernetes Engine.
Proficiency in scripting and programming languages such as Python, Golang, or Java.
Experience with containerization and orchestration technologies such as Docker and Kubernetes.
Familiarity with networking concepts and security practices in cloud environments.
Strong analytical and troubleshooting skills with attention to detail.
Effective communication skills for collaboration and presenting technical information clearly.
Preferred Qualifications:
Google Cloud certifications (e.g., Google Cloud Professional Cloud Architect or Google Cloud Professional DevOps Engineer) are preferred.
Experience in implementing CI/CD pipelines using tools like Google Cloud Build, Jenkins, or similar services.
Knowledge of monitoring and logging tools such as Stackdriver or Prometheus.
Understanding of DevOps methodologies and practices.
Benefits
1- Attractive Package.
2- Family Benefits.
3- Visa.
4-Air Tickets.
Location: Riyadh, Saudi Arabia; Cairo, Egypt; Delhi, India; Dubai, United Arab Emirates; Casablanca, Morocco
Müller’s Solutions is on the hunt for a skilled Google Cloud Architect to lead our cloud strategy initiatives and design innovative solutions using Google Cloud Platform (GCP). In this crucial role, you will be responsible for developing scalable, secure, and efficient cloud architectures that meet business requirements while guiding teams on best practices in cloud implementation and governance.
Key Responsibilities:
Design and architect scalable, reliable, and cost-effective GCP solutions aligned with business objectives.
Collaborate with stakeholders to gather requirements and translate them into technical solutions leveraging GCP services.
Develop and implement standards, guidelines, and best practices for GCP architectures across the organization.
Lead migration efforts of existing applications and systems to GCP, ensuring best practices around security and compliance are followed.
Conduct cloud readiness assessments and application architecture evaluations to identify needed improvements.
Oversee the integration of cloud services with on-premises components or external platforms as necessary.
Advise on cloud strategies, best practices, and industry trends to senior management and technical teams.
Provide technical leadership and mentorship to engineering teams, promoting cloud-native development methodologies.
Build and maintain documentation for cloud solutions, architectures, and processes.
Engage with vendor management to evaluate and select relevant cloud services and tools.
Requirements
Requirements:
Bachelor's degree in Computer Science, Information Technology, or a related field.
5+ years of experience in cloud architecture, with a strong focus on Google Cloud Platform.
Proven experience in designing and implementing complex architectures on GCP, including compute, storage, and networking.
Deep understanding of GCP services and capabilities, including BigQuery, Cloud Functions, and Kubernetes Engine.
Expertise in Infrastructure as Code (IaC) practices using tools like Terraform or Cloud Deployment Manager.
Strong knowledge of cloud security principles and best practices for governance and compliance.
Excellent communication and collaboration skills to work effectively with diverse teams and stakeholders.
Strong problem-solving skills and the ability to think critically in fast-paced environments.
Preferred Qualifications:
Google Cloud certifications (e.g., Google Cloud Professional Cloud Architect or Google Cloud Professional DevOps Engineer) are highly desirable.
Experience with DevOps practices, CI/CD pipelines, and automation tools.
Familiarity with open-source technologies and frameworks relevant to GCP architecture.
Experience in cloud cost management and optimization techniques.
Benefits
1- Attractive Package.
2- Family Benefits.
3- Visa.
4-Air Tickets.
Location: Riyadh, Saudi Arabia
Müller’s Solutions is looking for an experienced Azure Cloud Engineer to join our dynamic team. In this role, you will be responsible for designing, deploying, and managing our Azure cloud infrastructure, ensuring the scalability, security, and performance of our applications. You will collaborate with various teams to facilitate the migration of services to Azure and optimize our cloud environment for efficiency and cost-effectiveness.
Key Responsibilities:
Management of Azure virtual machines
Configuration and management of Azure networking
Administration of storage in Azure
Management of Azure Active Directory / Microsoft Entra ID
Optimization of costs (FinOps) and monitoring of budgets
Configuration of Azure Monitor and performance tracking
Administration of Microsoft Defender for Cloud
Configuration of backups and daily monitoring & validation of backup processes
Execution of quarterly Disaster Recovery (DR) testing
Management of Azure Backup and on-premises backup solutions
Monitoring and reporting on Recovery Time Objective (RTO) and Recovery Point Objective (RPO)
Oversight of Microsoft 365 backup processes
Design and implement Azure solutions that align with best practices and meet organizational needs.
Oversee the management and monitoring of Azure resources including virtual machines, storage accounts, and networking elements.
Automate the deployment and operational processes using Infrastructure as Code (IaC) tools, such as Terraform or Azure Resource Manager (ARM) templates.
Integrate on-premises infrastructure with Azure services to create hybrid cloud solutions.
Ensure compliance and governance standards for security across all Azure environments.
Maintain documentation of architecture diagrams, operational procedures, and guidelines for best practices.
Collaborate with development teams to facilitate efficient operational processes and application delivery.
Identify and resolve issues with Azure services, determining root causes and implementing effective solutions.tions.
Requirements
Requirements:
Bachelor's degree in Computer Science, Information Technology, or a related field.
3+ years of experience in cloud engineering or architecture, with a focus on Microsoft Azure.
Strong understanding of Azure services and tools including Azure Virtual Machines, Azure Functions, and Azure App Services.
Experience with scripting and automation using PowerShell, Azure CLI, or other automation tools.
Familiarity with networking concepts and security principles in cloud environments.
Excellent problem-solving skills and attention to detail.
Effective communication skills to work collaboratively in a team-oriented environment.
Preferred Qualifications:
Microsoft Azure certifications (e.g., Azure Solutions Architect Expert or Azure DevOps Engineer) are highly desirable.
Experience with DevOps practices and tools (e.g., CI/CD pipelines, Azure DevOps).
Knowledge of containerization technologies such as Docker and Kubernetes.
Experience with monitoring tools such as Azure Monitor, Application Insights, or third-party solutions.
Benefits
1- Attractive Package.
2- Family Benefits.
3- Visa.
4-Air Tickets.
Location: San Francisco, CA; New York, NY
Workplace: OnSite
ABOUT US
Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia.
We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do.
Our co-founders are Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/. Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google’s AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace.
ABOUT THE HEALTHCARE TEAM
- Our healthcare agents already reach over 50% of U.S. families. We partner with leading health plans, providers, and healthcare platforms to deliver AI agents that handle some of the most sensitive and high stakes conversations in any industry. From helping members understand their benefits to resolving billing questions with empathy, our healthcare agents are transforming how patients and policyholders interact with the healthcare system.
- Our healthcare customers include major health insurance networks, nonprofit providers, multi-site primary and urgent care practices, healthcare diagnostics companies, and healthcare financial platforms.
- Join us to transform the patient experience across the healthcare system—and help build technology that makes care more accessible, more human and more affordable for everyone.
WHAT YOU'LL DO
- Build enterprise-grade AI agents for healthcare: As an Agent PM at Sierra, you will be responsible for partnering directly with our engineers and customers to build and ship AI agents that handle thousands of customer conversations a day. These agents help people understand their coverage, find providers, schedule appointments, navigate billing, and more—all while maintaining strict HIPAA compliance and the trust that healthcare demands.
- Discover where agents will make an impact: Ground-up discovery is a critical part of the role. Work closely with providers, payers, RCMs and pharmaceutical companies to identify new use cases and opportunities for AI Agents to deliver impact for their business. You should be our customer’s trusted advisor, and be able drive strategic decisions for our customers.
- Engage with customers: In the role, you will engage with all levels of our customers’ businesses:
- Discover and assess their requirements.
- Prepare and present demonstrations of Sierra’s agent.
- Address and overcome technical challenges in the business process by working with technical counterparts.
- Develop and improve Sierra virtual agents to fit and anticipate our customers’ needs and business processes.
- Become trusted advisors and drive strategic technical strategies for our customers.
- Shape the platform and healthcare roadmap: Your direct work with healthcare customers will guide the evolution of Sierra's core platform. You'll surface unmet needs, prototype new tools and features, and collaborate with research, product, and platform to shape the future of AI agent development in healthcare.
EXAMPLE PROJECTS
These are examples of projects our healthcare team has worked on:
- Develop net new agentic healthcare products that can cut costs and drive revenue in the healthcare ecosystem.
- Build AI agents for major health insurance networks that handle detailed questions like "what's my co-pay for a primary care visit?" and "how many physical therapy sessions do I have left?"
- Develop voice and chat agents for nonprofit healthcare providers that help members find in-network specialists, check availability, and locate providers based on specialty or location
- Create AI agents for multi-site primary and urgent care providers that manage appointments and answer common questions across 30+ clinics
- Build agents that replace lengthy paper intake forms with conversational experiences, boosting pre-visit intake conversion rates
- Develop AI agents for healthcare financial platforms that help patients understand billing, payment status, explanations of benefits, and financial assistance eligibility.
- Experiment with the latest voice models and integrate them at scale for healthcare enterprises requiring secure, compliant phone interactions
WHAT YOU'LL BRING
- 5-7+ years experience in product development of highly technical products.
- Past experience in Product Management or other similar product development roles at or above the level of Senior Product Manager.
- Experience crafting and tailoring a message for potential customers, including executives.
- Ability to communicate highly technical concepts to both non-technical and technically proficient audiences, including recent AI developments.
- Degree in a technical or related field, or equivalent professional experience.
- Genuine interest in healthcare and improving patient/member experiences
EVEN BETTER...
- Experience in healthcare technology, health IT or working with healthcare organizations
- Understanding of healthcare compliance requirements (HIPAA, PHI handling and healthcare data privacy)
- AI-related experience (experience with product development for AI agents a plus).
- Some coding experience with React, Typescript, and Go.
- MBA or equivalent professional experience (while this is a product management role, you will have the opportunity to lean into broader business roles).
- Past roles that interface with end customers to influence software development.
OUR VALUES
- Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work.
- Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it.
- Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve.
- Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time.
- Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements.
WHAT WE OFFER
We want our benefits to reflect our values and offer the following to full-time employees:
- Flexible (unlimited) paid time off
- Medical, dental, and vision benefits for you and your family
- Life insurance and disability benefits
- Retirement plan dependent on country of employment
- Parental leave
- Fertility and family building benefits through Carrot
- Lunch, as well as delicious snacks and coffee to keep you energized
- Discretionary benefit stipend giving people the ability to spend where it matters most
- Free alphorn lessons
These benefits are further detailed in Sierra's policies, may vary by region, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies.
BE YOU, WITH US
We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply even if your experience doesn't precisely match the job description. We strive to evaluate all applicants consistently without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.
Location: San Francisco, CA • New York, NY • United States
Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us!
Figma’s distribution partnerships team is passionate about unlocking new sources of revenue and hyper-scaling growth through the power of strategic alliances. This includes accelerating go-to-market (GTM) efforts, driving adoption of Figma’s platform, and unlocking new use cases via our suite of AI tools. We are looking to hire an experienced business development and partnerships professional to scale our efforts with agencies, systems integrators, consultancies, and commercial partners (resellers) across the globe. This includes driving revenue growth and supporting customers across North America in both commercial and public sectors (government).
This is not a channel sales role - we are focused on new critical initiatives and analyzing how partnerships best serve the long-term needs of Figma’s business. This is an exciting opportunity to join an emerging team at Figma where you will play an active role in shaping our long-term partner strategy. You will build new revenue-focused partner programs from scratch and scale our existing motions to better serve customers as Figma’s platform continues to evolve.
This is a full-time role that can be held from our New York City or San Francisco hub - or remotely in the United States.
What you’ll do at Figma:
Identify, evaluate, and execute new strategic distribution opportunities that require complementary GTM partners, and onboard qualified organizations into Figma’s formal partner program
Manage and grow relationships with service and commercial partners across AMER — including public sector and Federal clients — driving partner-influenced revenue and aligning on mutual success plans, critical metrics, and documented wins
Partner with Figma’s GTM teams to source, scope, and progress partner-influenced opportunities, while identifying new co-marketing and co-selling motions that expand reach and unlock new use cases
Evaluate and mature indirect sales motions in the context of Figma’s established sales model, recommending improvements that streamline execution and support long-term growth
Educate and enable the partner ecosystem on Figma’s products, services, and AI capabilities, while building strong cross-functional relationships with Sales, Marketing, Customer Experience, Product, and other internal partners
We'd love to hear from you if you have:
10+ years of professional experience in partnerships, business development, channel, or related GTM roles
3+ years of experience handling external GTM partners (e.g., SIs, agencies, consultancies, ISVs, resellers, marketplaces, or referral partners)
Proven experience building partner programs or strategies from inception to execution, including defining important metrics and revenue goals
Experience managing multiple strategic partner relationships simultaneously and driving measurable revenue outcomes
While not required, it’s an added plus if you also have:
Experience working with partners to influence or capture business within the U.S. Federal government
Worked at a service organization or channel partner in a direct GTM capacity
Sold to product, design, or technical audiences
Familiar with UX/UI design principles, collaboration tools, or digital product development workflows
Exposure to a sales methodology (e.g., MEDDICC, Command of the Message)
At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you’re excited about this role but your past experience doesn’t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.
Pay Transparency Disclosure
Job level and actual compensation will be decided based on factors including, but not limited to, individual qualifications objectively assessed during the interview process (including skills and prior relevant experience, potential impact, and scope of role), market demands, and specific work location.
Figma offers equity to employees, as well as a competitive package of additional benefits, including health, dental, and vision coverage; retirement benefits with company contributions; parental leave and reproductive or family planning support; mental health and wellness benefits; and paid time off. Figma provides paid sick leave, holidays, and other leave benefits in compliance with applicable federal, state, and local laws, including the requirements of the Washington Minimum Wage Act and related regulations. Exempt employees are eligible for employer‑provided paid flexible PTO in addition to flexible paid sick leave. PTO is subject to manager approval. Additional benefits may include company recharge days, cell phone and home internet reimbursements, and a number of lifestyle spending accounts. Figma also offers sales incentive compensation for most sales roles and an annual bonus plan for eligible non-sales roles. All compensation and benefits are subject to applicable plan terms and may be modified by Figma at any time, consistent with applicable law.
Annual Base Salary Range:
$140,000
—
$296,000 USD
At Figma we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Figma is an
equal opportunity workplace
- we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status
,
or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.
We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to
accommodations-ext@figma.com
. These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities.
Examples of accommodations include but are not limited to:
Holding interviews in an accessible location
Enabling closed captioning on video conferencing
Ensuring all written communication be compatible with screen readers
Changing the mode or format of interviews
To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates keep their cameras on during video interviews. Additionally, if hired you will be required to attend in person onboarding.
By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with
Figma's Candidate Privacy Notice
.
Application limits:
To help candidates focus on the opportunities most relevant to their skills and experience, Figma limits the number and frequency of applications. These limits apply to all roles:
Candidates may submit up to 5 applications during any rolling 30-day period.
Candidates may not reapply to the same role while an application is active or within 90 days of receiving a rejection.
Once the applicable days has passed, candidates are welcome to apply again.
Location: Australia
Workplace: remote
Overview
Are you passionate about languages, writing, and quality evaluation? We are launching an exciting language evaluation project and are looking for Mandarin-speaking experts to join our team.
In this role, you will contribute to training AI systems to better understand, generate, and refine language by performing structured evaluation and writing tasks, all from the comfort of your home and on a flexible schedule.
What you will do:
- Evaluate AI-generated responses for accuracy, grammar, and cultural relevance.
- Identify issues and provide refined, high-quality rewritten responses.
- Create natural prompts and responses in Mandarin to improve conversational datasets.
- Collaborate with global teams to help improve AI language models.
Project Details:
- Duration: 4 weeks.
- Rate: $40USD/hour
- Commitment: ~10 to 20 hours/week (flexible schedule).
- Job Type: Freelance contract.
- Location: Remote
Requirements:
- Background as a teacher (preferred but not a must) or experience in teaching/writing in Mandarin.
- Excellent written communication and strong grammatical accuracy.
- Familiarity with cultural nuances in Mandarin.
- Comfortable with structured tasks such as: preference ranking (factuality & locality), prompt-response writing, grammaticality checks, provision & improvement of text.
Note: Please do not use VPNs or IP-masking tools during the recruitment process — our security system requires accurate regional verification.
Job reference: #L1-CC1
Why Join Welo Data?
✨ Limitless Flexibility
Project-based opportunities that fit your availability. Choose when and how much you want to contribute—fully remote, with complete autonomy.
🌱 Limitless Growth
Optional access to AI and Large Language Model workshops designed specifically for professionals like you. No coding required—just your expertise.
🌍 Limitless Support
Be part of a global contributor community with responsive guidance and support.
💡 Real Impact
Apply your expertise in the Legal field to influence the AI systems shaping the future of your industry—while collaborating with data professionals and expanding your skills.
How to Apply?
Apply now by answering a few quick questions to join our database and become part of our growing community.
About Welo Data
Welo Data, part of Welocalize, is a global AI data company with 500,000+ contributors delivering high-quality, ethical data to train the world’s most advanced AI systems. We’re building smarter, more human AI with a diverse community in 100+ countries.
At Welo Data, Limitless AI. Limitless You. isn’t just a slogan—it’s our promise. We build smarter AI through the power of human contribution, offering limitless opportunities for our global community to grow, contribute, and work on their terms.
Location: San Francisco, CA • New York, NY • United States
Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us!
As the Engineering Manager for Observability, you'll lead the team building the systems that show Figma how its platform and its AI products actually behave in production. That spans our core observability stack, meaning metrics, logs, and distributed tracing, as well as a fast-growing new frontier: the AI observability pipeline that turns traces, conversations, and model outputs into the classification and evals that make Figma's AI features measurably better. You'll set strategy across both, raise the bar on instrumentation and data quality, and push into AI-driven approaches to anomaly detection and operational automation. Observability was an unowned space at Figma until recently, so this is a rare chance to shape an early-stage, high-leverage platform that every engineering team here depends on.
This is a full time role that can be held from one of our US hubs or remotely in the United States.
What you’ll do at Figma:
Lead and grow a 6 engineer team responsible for the reliability, scalability, and evolution of Figma's observability and AI observability platforms.
Own and evolve the AI observability ecosystem: a privacy-safe telemetry pipeline that aggregates trace, conversation, and model data, runs classification, and lets teams run evals to measure and improve AI feature quality.
Own Figma's core observability stack, including platforms like Datadog, ensuring high availability, strong data quality, and a healthy signal-to-noise ratio across metrics, logs, and traces.
Set the technical strategy for the instrumentation standards, libraries, agents, and operators that monitor services across the company.
Explore and ship AI-driven approaches to anomaly detection, root cause analysis, signal correlation, and operational automation.
Partner across infrastructure, product engineering, finance, and security to give teams clear visibility into system health at scale, including cost efficiency as the team's scope grows.
Coach and develop engineers through career growth, feedback, and technical leadership, building a culture of ownership and high-quality execution.
We'd love to hear from you if you have:
4+ years of experience leading and growing engineering teams in infrastructure, observability, platform, or AI systems, with a track record of delivering reliable production systems at scale.
A strong foundation in distributed systems and a platform mindset: you build systems other teams adopt and rely on, not just for your own team.
Hands-on depth in observability, AI systems telemetry, or both, whether that means metrics, logs, and distributed tracing, or the traces, classification, and evals that power AI products.
Fluency with the modern tooling in your area, such as Datadog, OpenTelemetry, and Prometheus, or LLM tracing, prompt and model versioning, and eval workflows.
A high operational bar (instrumentation and data quality, SLO design, incident response) and the ability to set technical direction and drive cross-functional alignment in complex environments.
While not required, it’s an added plus if you also have:
Breadth across both classic observability and AI observability, or the curiosity to grow into whichever is newer to you.
Experience creating AI Telemetry-assisted improvement feedback loops for services, in particular for AI products and features.
Experience improving infrastructure efficiency, including cost attribution, forecasting, vendor negotiation, and usage modeling.
A track record designing company-wide observability standards, shared libraries, and agent or operator-based integrations.
Experience applying AI or machine learning to anomaly detection, root cause analysis, or operational automation.
Experience scaling and mentoring high-performing teams through platform expansion or major architectural change.
At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you’re excited about this role but your past experience doesn’t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.
Pay Transparency Disclosure
Job level and actual compensation will be decided based on factors including, but not limited to, individual qualifications objectively assessed during the interview process (including skills and prior relevant experience, potential impact, and scope of role), market demands, and specific work location.
Figma offers equity to employees, as well as a competitive package of additional benefits, including health, dental, and vision coverage; retirement benefits with company contributions; parental leave and reproductive or family planning support; mental health and wellness benefits; and paid time off. Figma provides paid sick leave, holidays, and other leave benefits in compliance with applicable federal, state, and local laws, including the requirements of the Washington Minimum Wage Act and related regulations. Exempt employees are eligible for employer‑provided paid flexible PTO in addition to flexible paid sick leave. PTO is subject to manager approval. Additional benefits may include company recharge days, cell phone and home internet reimbursements, and a number of lifestyle spending accounts. Figma also offers sales incentive compensation for most sales roles and an annual bonus plan for eligible non-sales roles. All compensation and benefits are subject to applicable plan terms and may be modified by Figma at any time, consistent with applicable law.
Annual Base Salary Range:
$258,000
—
$376,000 USD
At Figma we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Figma is an
equal opportunity workplace
- we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status
,
or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.
We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to
accommodations-ext@figma.com
. These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities.
Examples of accommodations include but are not limited to:
Holding interviews in an accessible location
Enabling closed captioning on video conferencing
Ensuring all written communication be compatible with screen readers
Changing the mode or format of interviews
To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates keep their cameras on during video interviews. Additionally, if hired you will be required to attend in person onboarding.
By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with
Figma's Candidate Privacy Notice
.
Application limits:
To help candidates focus on the opportunities most relevant to their skills and experience, Figma limits the number and frequency of applications. These limits apply to all roles:
Candidates may submit up to 5 applications during any rolling 30-day period.
Candidates may not reapply to the same role while an application is active or within 90 days of receiving a rejection.
Once the applicable days has passed, candidates are welcome to apply again.
Location: United States & Canada
Workplace: Remote
About WorkOS 🚀
WorkOS builds modern developer tools and APIs that make it easy for companies to become Enterprise Ready. Our platform powers authentication, identity, authorization, and other critical infrastructure that developers need to securely scale their products to large organizations.
We recently raised a $100M Series C, valuing the company at $2B, led by Meritech and Sapphire with participation from Greenoaks, Craft, Abstract, and Audacious. WorkOS powers enterprise features for many of the fastest-growing AI companies, including OpenAI, Cursor, and Perplexity, Sierra, and Plaid.
As AI reshapes software, WorkOS is at the frontier of Human and Agent Authentication, Identity, and Access Control helping companies answer a new critical question: who are your agents, and what are they allowed to do? Our fast-growing customer base includes hundreds of modern software companies building the next generation of enterprise-ready products.
ABOUT THE ROLE
We're growing our Applied AI team to dramatically increase productivity across Engineering, Sales, Support, and Operations, and to ship AI-powered products that customers rely on directly.
As an Applied AI Engineer, you'll design and ship production AI systems that change how WorkOS builds, sells, supports, and scales. You’ll also be building things that WorkOS customers use, and systems that the entire company depends on daily.
You'll work on a small, high-ownership team that:
- Chooses problems based on measurable impact
- Moves from idea → prototype → production in days or weeks
- Ships at both layers: internal leverage and customer-facing product
- Adapts quickly as models, tools, and best practices evolve
This is a 0→1 role with company-wide visibility.
What you'll do
- Design and ship customer-facing AI products like ask.workos.com http://ask.workos.com, AI support bots embedded in customer Slack channels, and new surfaces we haven't built yet
- Build internal tools that become part of people's daily work: agents, automations, and workflows that are stable, observable, and easy to maintain
- Work on big bets: a unified bot framework, a sandboxed coding harness agent, and infrastructure that lets the entire company ship
- Use LLMs, embeddings, retrieval, and tool-calling to plug into docs, Slack, GitHub, CRM, analytics, support systems, and internal services
- Replace repetitive, multi-step manual processes with orchestrated, AI-driven flows that span multiple apps and data sources
- Stay current on new models and tooling, run focused experiments, and help the team converge on patterns, libraries, and infrastructure that compound over time
Example problems you might work on
- A sandboxed coding harness that can safely take a bug report or feature spec all the way to a deployed change
- A unified bot framework that powers every AI touchpoint, internal and customer-facing from a single, observable backbone
- A GTM intelligence layer that gives reps live account context, meeting prep, and follow-up from CRM, product usage, and conversation history
- Turning noisy, cross-tool workflows (tickets, Slack threads, docs) into a single agent that handles triage, routing, and suggested actions
- Infrastructure that lets any WorkOS team ship a reliable internal AI app without reinventing the stack
What we're looking for
- You've taken AI-powered systems from idea to production and through at least one iteration cycle with real users
- Strong engineering fundamentals. You're comfortable owning services, data flows, and integrations end-to-end
- Experience building with LLM APIs
- You think about failure modes, observability, and ownership, not just whether the demo works
- Bias toward action. You care less about the model and more about removing real bottlenecks, saving hours, or unlocking workflows the company couldn't do before
- Comfort with ambiguity and fast change. The problem, the tools, and the "right" patterns are all evolving, you're excited to help define them
Nice to have
- Prior work on customer-facing AI products
- Experience with embeddings, retrieval/RAG architectures, and structured tool-calling or agents
- Exposure to MCP or similar protocols for connecting AI agents to real systems
Benefits and Perks (US Only) 💖
At WorkOS, we offer resources that emphasize personal and familial well-being. We offer healthcare coverage for you and your family, including medical, dental, and vision. We offer parental leave, paid-time off and fully remote working arrangements.
- 401k matching
- Competitive Equity
- Healthcare, dental and vision coverage
- FSA, ST/LT Disability, Voluntary Life
- Carrot fertility benefits
- 20 days paid vacation + 10 holidays + unlimited sick leave
- 12 weeks fully paid parental leave
- Fitness: Monthly stipend for gyms, yoga classes, race registrations or whatever keeps you active
- Wellness: Monthly stipend for a massage, meditations class, therapy, or activities that enhance your well-being
- Commuter benefits for hybrid employees in SF/NYC
- Unlimited token usage!
Please inquire directly with our recruiting team for benefits available to those working outside the US.
Equal Opportunity Employer
WorkOS is an equal opportunity employer, committed to diversity and inclusiveness. We will consider all qualified applicants without regard to race, color, nationality, gender, gender identity or expression, sexual orientation, religion, disability or age.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Location: Remote - US
Who we are
At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to
hundreds of thousands of businesses
and empower millions of developers worldwide to craft personalized customer experiences.
Our dedication to
remote-first work
, and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands.
.
Hiring and how we work
We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions!
Also, while we are a remote-first company, you may be asked to report in person on an ad-hoc basis for team gatherings, functional off-sites or customer meetings.
.
See yourself at Twilio
Join the team as Twilio’s next Software Engineer (L2) - for Voice Trust: helping ensure Twilio’s Voice customers have reliable voice communication with their customers that ensure their customers will answer their calls.
About the job
This position is needed to add to our Voice Connectivity Trust team in the US to enable Twilio to better support our customers using Voice in their solutions. As a Software Engineer on this team you will participate in all phases of the software development life cycle which includes requirements gathering with Product Managers, technical design, estimations, sprint planning, coding, testing, deployments and on-call support. This engineer will own, operate and maintain their teams’ services in a distributed production environment, employing Agile methodologies to continuously deliver value to customers.
Responsibilities
In this role, you’ll:
Be an owner:
Design and implement real-time services with high throughput and low latency requirements, verify, deploy and operationalize them
Wear the customer's shoes:
Work closely with stakeholders to understand customer needs and, devise and deliver, simple, robust and scalable solutions
Write it down:
Be comfortable expressing thoughts and ideas as detailed prose and use it as an effective means to collaborate with leads, architects and cross functional teams
Be bold:
Embrace the challenge of scaling a complex distributed platform with points of presence globally, each one concerned with high availability, high reliability, high throughput, low latency, and media fidelity
Draw the owl:
Figure out novel ways of solving customer problems for the Voice channel
Qualifications
Not all applicants will have skills that match a job description exactly. Twilio values diverse experiences in other industries, and we encourage everyone who meets the required qualifications to apply. While having “desired” qualifications make for a strong candidate, we encourage applicants with alternative experiences to also apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table!
Required:
Minimum 2-3+ years of hands-on experience in a large scale, distributed applications environment on JVM based technologies
Experience building RESTful services, API design and event-driven architectures (Kafka, SQS)
Understanding of CI/CD pipelines
Hands on experience with cloud infrastructures such as AWS, GCP, OpenStack or Azure
Experience with on-call rotations, incident response, monitoring/alerting tools (Prometheus, Datadog, Grafana)
Excellent written communication skills - essential for effective AI prompting and for creating clear technical documentation (with or without AI assistance)
Proven ability to critically evaluate AI-generated code for correctness, security, performance, and maintainability
Strong Java fundamentals with the ability to architect, review, and debug code whether written by you, teammates, or AI agents
Demonstrated proficiency working with AI coding assistants (Claude, GitHub Copilot, Cursor, or similar) - you should be able to describe your workflows and show examples
Bachelor's degree in Computer Science or a related engineering field
Strong Computer Science fundamentals not limited to data structures, algorithms, operating systems, and distributed systems
Able to work well in a team setting and both highly motivated and motivating
Desired:
Can demonstrate with metrics how you have used AI to increase productivity
Experience scaling data tiers employing a variety of SQL/NoSQL database and caching technologies
Hands on experience scaling production backend systems, with the proven ability to design and develop horizontally-scalable, resilient and performing-under-load systems
Knowledge and experience working with SIP protocol
Knowledge and experience working with Stir/Shaken protocol
Location
This role will be Remote in the USA but is
not eligible to be hired in CA, NY, WA, PA, CT.
We prioritize connections and opportunities to build relationships with our customers and each other. For this role, you may be required to travel occasionally to participate in project or team in-person meetings.
Travel
We prioritize connection and opportunities to build relationships with our customers and each other. For this role, you may be required to travel occasionally to participate in project or team in-person meetings.
What We Offer
There are many benefits to working at Twilio, including, in addition to competitive pay, things like generous time-off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location.
Compensation
*Please note the salary range information provided applies only to candidates residing in California, Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, New Jersey, New York, Vermont, Washington D.C., and Washington State due to local requirements. Compensation for candidates in other locations will be discussed during the hiring process. Please note that hiring for this role is not restricted to the locations listed above.
The estimated pay ranges for this role are as follows:
Based in Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, Vermont or Washington D.C. : $138,700 - $173,400
Based in New York, New Jersey, Washington State, or California (outside of the San Francisco Bay area): $146,800 - $183,600
Based in the San Francisco Bay area, California: $163,100 - $203,900.
This role may be eligible to participate in Twilio’s equity plan and corporate bonus plan. All roles are generally eligible for the following benefits: health care insurance, 401(k) retirement account, paid sick time, paid personal time off, paid parental leave.
The successful candidate’s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location.
Applications for this role are intended to be accepted until 12/31/2026, but may change based on business needs.
Twilio thinks big. Do you?
We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That's why we seek out colleagues who embody our values — something we call
Twilio Magic
. Additionally, we empower employees to build
positive change in their communities
by supporting their volunteering and donation efforts.
So, if you're ready to unleash your full potential, do your best work, and be the best version of yourself, apply now! If this role isn't what you're looking for,
please consider other open positions.
.
Stay alert to recruitment fraud
We care about your safety. Scammers sometimes impersonate Twilio recruiters through fake job postings, emails, websites, or messages. Please ensure you are engaging with an official @
twilio.com
email address. We will never ask for payment, gift cards, cryptocurrency, or banking information during the recruiting process. We do not make job offers without a formal interview process or conduct interviews exclusively through text-based messaging apps.
.
Twilio is proud to be an equal opportunity employer.
We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Additionally, Twilio participates in the E-Verify program in certain locations, as required by law.
Location: Remote, AMER
Workplace: Remote
Supabase is the Postgres development platform, built by developers for developers. We provide a complete backend solution including Database, Auth, Storage, Edge Functions, Realtime, and Vector Search. All services are deeply integrated and designed for growth.
ABOUT THE ROLE
We’re looking for a Senior Postgres Engineer to join our Postgres Team and help maintain and expand the stability and functionality of our hosted Postgres offering . You’ll work closely with customers, partners, product, engineering, support and success, helping us maintain a secure, stable, performant, and functional Postgres foundation.
This role is ideal for someone who thrives in async, fast-paced environments and is excited about building developer tools that scale to millions.
This role also requires strong working overlap with Americas time zones due to production support and on-call responsibilities.
WHAT YOU'LL OWN:
- Build and maintain PostgreSQL extensions in C and Rust, with a deep understanding of internals — parser, planner, WAL mechanics, and MVCC
- Diagnose and resolve issues in managed PostgreSQL deployments, including custom extension failures, core dump analysis, and performance bottlenecks
- Own idempotent deployment pipelines across thousands of running PostgreSQL instances, including testing and rollout strategies
- Manage complex extension ecosystems — compatibility, upgrade paths, and conflict resolution
- Work with PostgreSQL's background worker framework, shared memory management, and hook system to build reliable, scalable functionality
- Collaborate closely with customers, partners, product, engineering, support, and success teams to maintain a secure, stable, and performant Postgres foundation
WHAT YOU BRING:
- Deep expertise in PostgreSQL internals - query planner, executor, and storage engine mechanics
- Proven experience building PostgreSQL extensions in both C and Rust
- Strong knowledge of PostgreSQL's permission model: RLS, roles, and grant systems
- Experience troubleshooting production issues in managed PostgreSQL environments, including custom extension issues, performance bottlenecks, and resource contention
- Comfortable building, testing, and owning idempotent deployments across thousands of running Postgres instances
- Ability to read and navigate PostgreSQL source code confidently
- Experience with multi-tenant database architectures
- Experience running PostgreSQL at scale
WHAT WE OFFER
- Fully Remote
We hire globally. We believe you can do your best work from anywhere. There are no Supabase offices, but we provide a WeWork membership or co-working allowance you can use anywhere in the world.
- ESOP
Every team member receives ESOP (equity ownership) in the company. We want everyone to share in the upside of what we’re building together.
- Tech Allowance
Use this budget to set up your ideal work environment—laptop, monitor, headphones, or whatever helps you do your best work.
- Health Benefits
Supabase covers 100% of health insurance for employees and 80% for dependents, wherever you are. Your wellbeing and your family’s health are important to us.
- Annual Off-Sites
Once a year, the entire company gathers in a new city for a week of connection, collaboration, and fun. It’s a highlight of our year.
- Flexible Work
We operate asynchronously and trust you to manage your own time. You know what needs to be done and when.
- Professional Development
Every team member receives an annual education allowance to spend on learning—courses, books, conferences, or anything that supports your growth.
ABOUT THE TEAM
Supabase was born-remote and open-source-first. We believe our globally distributed team is our secret weapon in building tools developers love.
- ~400 team members
- 60+ countries
- 20+ languages spoken
- Over $1B raised (including our $500M Series F)
- 540,000+ community members
We move fast, build in public, and use what we ship. If it’s in your project, we probably use it in ours too. We believe deeply in the open-source ecosystem and strive to support—not replace—existing tools and communities.
Location: New Delhi, India; Mumbai, India; Pune, India; Warsaw, Poland; Tbilisi, Georgia
Top 3 Reasons To Join Us
Competitive Salary
100% Remote
Working on the latest tech for the Insurtech Market Leader
About Us
At CoverGo, our mission is to empower all insurance companies to make insurance 100% digital and accessible to everyone.
We are a leading global no-code insurance platform for health, life, and P&C
We’re the winner of the Insurtech of the Year in all of Asia and other awards globally
We work with insurance enterprise clients such as AXA, Bupa, MSIG, Dai-ichi, Bank of China Group Insurance, and many more
We're an international, diverse team of over 120 people with 30 nationalities and team members working remotely from all over the world
We are fully funded and backed by reputable VC funds and strategic institutional investors
We have a global presence in Asia, EMEA and the Americas
We’ve grown our annualized revenue by over 30x since January 2021
We’re constantly working towards making CoverGo a workplace that you love coming to. We deeply believe that bringing together a diversity of thoughts, expressions, and perspectives is key to building the best culture for equally diverse communities all over the world
What You Will Do:
Work with clients and technical resources to identify their business problems and develop the right approach and analytical solution
Plan and design simple to semi-complex business processes and system modifications
Make recommendations to improve and support business activities
Gather business requirements through a variety of techniques such as work sessions and interviews then analyze and document client complex business requirements and processes; communicate these requirements to appropriate parties
Create complex test case scenarios to be used in testing; monitor/oversee the testing of business applications to verify that all client requirements are incorporated into the system design
Develop business requirements documents/user stories to support the required modifications
May plan, allocate and monitor work of other business analysts
Understand simple to complex systems and related data to surface actionable insights, demonstrate sound judgment and decision-making skills
Assist in providing time estimates for project related tasks
Aid in updating process and procedural documentation
Develop basic understanding of technical development cycle of mobile application or web portals
Support QA, UAT and Release phases of the project via defect analysis, change maintenance, etc.
Any other task that may be assigned
What We Need:
Minimum 5 years of experience as Business Analyst
Minimum 1 year of experience in AI projects in the insurance domain
A degree in Business, IT or any relevant field
Previous experience working in the health insurance industry is required
Insurtech experience is preferred
Health Insurance-related domain certification from INS/LOMA or III is an added advantage
Knowledge of business analysis concepts of defining requirements, translating to technical solutions, and Agile approach to prioritizing work to epics, sprints
Business analysis skills including facilitation, process documentation, requirements gathering and user acceptance testing
Good organizational/time management skills to prioritize work and meet deadlines within defined timeframes
Experience in an Agile and/or Scrum environment is a must
Basic knowledge in generating process documentation, and document system functionality, data integration, and workflow
Excellent written and verbal communication skills in English
Technical writing skills is a plus
Why You'll Love Working Here
Fully Remote
Flexible Leave
International Environment
Competitive renumeration package
Performance Bonus
Company activities and events
Learning and development plan
Remote work allowance
CoverGo Company
Video
By submitting your application, you confirm that you have read, understood, and accepted the content of CoverGo’s
Privacy Notice
and you consent to the processing of your data as part of this application.
Location: San Francisco, CA | New York City, NY
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
Anthropic is seeking an exceptional Senior Staff Software Engineer to join the Claude Developer Platform team and serve as the senior-most individual contributor across API Engineering. Since launch, the Claude API has seen rapid growth and adoption by companies of all sizes to build AI applications with our industry-leading models. The API serves as the primary channel for safely and broadly distributing AI's benefits across all sectors of the economy.
This role sets the technical direction for the systems that make Claude accessible to developers, enterprises, and partners at scale. You will operate at the intersection of technical strategy and execution, partnering closely with Research, Inference, Platform, Infrastructure, and Safeguards to ensure the Claude API is reliable, capable, and positioned to grow with Anthropic's ambitions.
This is a high-agency role that spans all API Engineering teams:
API Core
owns the foundational reliability and performance of the Claude API;
API Capabilities
ships frontier model capabilities—vision, tool use, computer use—directly to developers;
API Knowledge
builds retrieval and grounding systems that let Claude reason over external data;
API Distributability
ensures Claude reaches customers wherever they need it, with the enterprise-ready infrastructure to support it; and
API Agents
builds the infrastructure for long-horizon agentic workflows in production.
Responsibilities
Define and drive multi-year technical strategy for the Claude API, setting direction across API Core, Capabilities, Knowledge, Distributability, and Agents.
Identify and personally lead the highest-complexity, highest-impact engineering initiatives spanning multiple teams.
Serve as the primary technical decision-maker for major architectural decisions with org-wide scope.
Partner with Research to evaluate and integrate frontier capabilities; work with Inference and Platform for reliable delivery at scale; collaborate with Infrastructure and Safeguards for reliability, security, and responsible deployment.
Mentor and develop Staff-level engineers across the org.
Drive alignment across Product, GTM, Safety, and beyond while proactively identifying and addressing systemic technical risks.
You may be a good fit if you:
Have 12+ years of engineering experience with a clear track record operating at Staff or Senior Staff level.
Have demonstrably shaped technical strategy for large-scale API or distributed systems platforms.
Drive the highest-leverage technical outcomes without formal authority—you lead through influence, quality of thinking, and trust.
Have deep expertise in distributed systems and API architecture, and are effective writing design docs, making architectural calls, and coding in critical paths.
Are highly effective across org boundaries—you build trust with Research, Inference, Infrastructure, Safeguards, and business stakeholders alike.
Bring strong product instincts and a craftsperson's approach to API design; you communicate clearly with both technical and non-technical audiences.
Technical Stack
Languages:
Python, Golang, Rust
Infrastructure:
GCP, AWS, Azure, Kubernetes
Databases:
PostgreSQL (AlloyDB), Vector Stores, Firestore, Spanner
Tools:
Feature Flagging, Prometheus, Grafana, Datadog, Claude Code
Deadline to apply: None. Applications will be reviewed on a rolling basis.
Location Preference: Preference will be given to candidates based in New York or the San Francisco Bay Area as these positions are part of an SF- or NY-based team.
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$405,000
—
$485,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Задачи:
— Разработка и развитие backend-части продукта на PHP 8;
— Проектирование архитектуры сервисов и баз данных;
— Написание и оптимизация сложных SQL-запросов;
— Обеспечение стабильности и производительности системы;
— Написание автотестов и поддержка качества кода;
— Участие в code review и технических обсуждениях;
— Взаимодействие с frontend-разработчиками и другими backend-инженерами;
— Участие в решении задач, связанных с нагрузкой и масштабированием.
Требования:
— 6+ лет опыта коммерческой разработки на PHP;
— Уверенное владение PHP 8;
— Опыт в igaming/payment solution providers/fintech;
— Глубокое понимание ООП и паттернов проектирования;
— Уверенная работа с MySQL, включая сложные запросы и оптимизацию;
— Опыт проектирования схем баз данных;
— Опыт разработки на Laravel (знание Symfony будет преимуществом);
— Опыт написания unit и integration тестов;
— Опыт работы с Redis;
— Уверенное использование Docker и Git;
— Хорошее понимание Linux, уверенная работа в консоли;
— Базовая настройка и понимание работы nginx.
Будет преимуществом:
— Опыт работы с высоконагруженными системами;
— Опыт проектирования и поддержки масштабируемых сервисов;
— Опыт работы с Golang;
— Понимание принципов отказоустойчивости и мониторинга.
Условия:
— Полностью удалённый формат работы;
— Участие в разработке сложного продуктового решения;
— Выплаты USD/USDT;
— Минимум бюрократии и быстрые процессы.
Location: Belfast, Northern Ireland, Remote
Workplace: remote
Olo is a leading SaaS platform accelerating digital transformation in the restaurant industry, by helping customers deliver more personalised and profitable guest experiences. As a result, our digital ordering, payment, and guest engagement solutions enable brands to do more with less and make every guest feel like a regular.
While our roots are in NYC, we’re intentionally investing in Belfast and Northern Ireland as a key hub, with an established leadership presence, a local team, and community for the long term. This role is fully remote, offering you flexibility to work from anywhere within NI.
Your new role
In this role, you’ll join as a Software Engineer II on the ‘In-Store’ team, which is part of the wider ‘Order’ engineering group.
The ‘In-Store’ squad is focused on building and improving the integrations with new and existing POS (Point of Sale) partners and systems. They ensure that customers orders successfully flow through the Olo ecosystem by driving critical SLA’s, uptime and overall performance when it comes to integrations with external partners.
This position is perfect for someone who has experience in the POS domain or who has been building systems that integrate with external partner platforms. You’ll have the support of a highly experienced engineering team consisting of 8 engineers in one squad. On a management level, the team is led by a dedicated Engineering Manager.
How you’ll make an impact
Deliver small-to-medium features independently, with some initial guidance, contributing across much of the team’s domain and components.
Collaborate with Product, Design, and other stakeholders to drive requirements for the work in front of you, and make well-reasoned design decisions at a component level, understanding the trade-offs involved.
Write code with testability, readability, and maintainability in mind.
Troubleshooting and incident management efforts, helping Senior Engineers to resolve critical production issues and improving system reliability.
Actively seek to learn about new technologies and trends, and how they might apply to what we’re building.
Use Claude Code and GitHub Copilot extensively as part of your daily workflow, and grow your skills through hands-on AI training designed to help you become highly effective with modern AI coding agents and IDEs.
Consistently contribute to team documentation, sharing what you learn with the squad, and providing useful feedback during estimation and in retrospectives.
Active participation in on-call duties is required, with specific responsibilities determined by your assigned team and area of expertise.
What will set you up for success
Bachelor’s Degree in Computer Science, Software Engineering or equivalent practical experience.
3+ years of experience in software engineering post graduation.
Good experience in the .Net and C# ecosystem.
Working knowledge of architectural patterns for distributed systems (e.g., microservices, event-driven architecture using Kafka), and the judgement to weigh design trade-offs at a component level.
Experience working with cloud infrastructure and services (e.g., AWS, Kubernetes/EKS) and implementing DevOps best practices using CI/CD tools like GitHub Actions, Octopus Deploy, and Terraform.
About Olo
Olo is a leading restaurant technology provider with ordering, payment, and guest engagement solutions that help brands increase orders, streamline operations, and improve the guest experience. Each day, Olo processes millions of orders on its open SaaS platform, gathering the right data from each touchpoint into a single source—so restaurants can better understand and better serve every guest on every channel, every time. Over 800 restaurant brands trust Olo and its network of more than 400 integration partners to innovate on behalf of the restaurant community, accelerating technology’s positive impact and creating a world where every restaurant guest feels like a regular. Learn more at olo.com.
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leadStamford, Connecticut, United States
Riyadh, Saudi Arabia; Dubai, United Arab Emirates; Casablanca, Morocco; Cairo, Egypt; Delhi, India
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seniorSan Francisco, CA | New York City, NY; Location Preference: Preference will be given to candidates based in New York or the San Francisco Bay Area as these positions are part of an SF- or NY-based team
