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: London
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.
WHAT YOU’LL DO
- Lead the design and delivery of production-grade AI agents: You’ll manage and grow a team of engineers building highly performant, reliable, and intuitive AI agents that are central, mission-critical, and directly drive Sierra’s growth. These aren’t prototypes—they are powerful, scalable systems running in production environments across industries like finance, healthcare, and commerce. You’ll ensure technical excellence, operational reliability, and high customer impact.
- Own the Agent Development Life Cycle (ADLC): You’ll guide your team through the full lifecycle—from initial pilot through deployment and continuous iteration—coaching engineers to set and maintain the standard for ADLC best practices. You’ll ensure projects are delivered on time, meet customer needs, and scale effectively in production environments.
- Partner with large enterprises and cutting-edge startups: You’ll collaborate with leaders at some of the world’s largest enterprises to understand their most pressing business challenges, and guide your team in building AI agents that transform how they operate at scale. You’ll also work with innovative startups in Europe, embedding AI agents across their entire business stack to drive innovation and efficiency.
- Shape the future of the platform: Your team’s direct work with customers will guide the evolution of Sierra’s core platform. You’ll surface unmet needs, prioritise initiatives, and collaborate with research, product, and platform teams to shape the future of AI agent development and Sierra’s product.
WHAT YOU'LL BRING
- Experience leading engineering teams that build and scale end-to-end production systems
- Strong technical problem-solving skills and the ability to guide teams through ambiguous, fast-changing environments
- A leadership style that blends high standards with empathy, fostering both speed and quality
- Proven ability to work closely with customers and translate business needs into technical deliverables
- Excellent communication skills across technical and non-technical audiences
- Degree in Computer Science or related field, or equivalent professional experience.
EVEN BETTER...
- AI-related experience (experience developing AI agents a plus).
- Experience building or deploying AI/LLM systems in production
- Background as a founder, engineering lead, or startup builder with high ownership and urgency
- Familiarity with tools for today’s AI agents: eval frameworks, agent tooling, RAG pipelines, and prompt engineering
- Prior experience with React, TypeScript, and/or Go
- Experience interfacing with customers or leading technical projects with external stakeholders
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: 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
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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: United States
About Huzzle
At Huzzle, we connect high-performing B2B sales professionals with global companies across the UK, US, Canada, Europe, and Australia. Our clients include startups, digital agencies, and tech platforms in industries like SaaS, MarTech, FinTech, and EdTech. We match top sales talent to full-time remote roles where they’re hired directly into client teams and provided ongoing support by Huzzle.
Role Type: Full-time
Engagement: Independent Contractor
Timezone: EST Hours
Job Summary
We are seeking a highly skilled
Full Stack Website Developer
based in the United States to manage and execute all aspects of website and CRM development. This role is ideal for someone with strong technical expertise across
WordPress, Shopify,
and
CRM platforms
such as
HubSpot
and
HighLevel
, who thrives in a fast-paced environment and takes pride in delivering high-quality work on time.
You will be responsible for building, optimizing, and maintaining websites and CRM systems that directly impact marketing performance, lead generation, and sales operations.
Key Responsibilities
Build, customize, and maintain high-performing websites using
WordPress
and
Shopify
Develop and manage CRM builds and automations using
HubSpot
,
HighLevel
, and related tools
Ensure websites are responsive, SEO-optimized, and conversion-focused
Integrate CRM systems with websites, landing pages, and marketing automation tools
Manage technical implementations end-to-end — from planning to deployment
Deliver projects on time with strong attention to detail and quality standards
Troubleshoot and resolve technical issues efficiently
Collaborate with marketing and sales teams to optimize funnels and customer journeys
Maintain documentation and ensure scalable system architecture
Requirements
Must-Haves:
Strong portfolio demonstrating website and
CRM
development projects
Advanced experience with
WordPress
and
Shopify
development
Hands-on experience with
HubSpot, HighLevel
, or similar CRM platforms
Proven ability to manage full-stack development tasks independently
Strong understanding of w
ebsite performance, UX/UI best practices
, and
SEO fundamentals
Excellent time management and ability to meet deadlines
Strong sense of urgency and commitment to high-quality output
Proactive communication and problem-solving mindset
Nice to Have:
Advanced CRM automation and workflow build experience
Experience building custom integrations or API connections
Experience optimizing conversion funnels and landing pages
Benefits
💻 Fully Remote: Work from anywhere with international teams
🚀 Career Growth: Join companies in SaaS, MarTech, and B2B services
🤝 Peer Community: Connect with high-performing sales professionals in our network
🧭 Ongoing Support: Receive guidance from Huzzle before and after placement
💰 Tailored Compensation: Salaries vary by client and candidate preference — we’ll match you with options that fit your goals
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.
Location: Al Jubail, Saudi Arabia
Eram Talent is inviting applications for the role of Mechanical Maintenance Technician. This position is essential for maintaining and optimizing the operational efficiency of mechanical systems within industrial environments. As a Mechanical Maintenance Technician at Eram Talent, you will be responsible for executing maintenance tasks, troubleshooting mechanical issues, and ensuring compliance with safety regulations.
Join us at Eram Talent, where we prioritize connecting skilled professionals with leading employers in the Oil & Gas, Engineering, and Technology sectors. This role offers the opportunity to showcase your skills and grow in a dynamic work environment.
Key Responsibilities
Conduct routine mechanical maintenance and repairs on plant machinery and equipment.
Diagnose mechanical failures and perform necessary repairs to minimize downtime.
Perform preventive maintenance tasks according to established schedules and procedures.
Collaborate with engineering teams to optimize equipment performance and longevity.
Maintain clear and accurate records of all maintenance work performed.
Ensure compliance with health and safety standards in all maintenance activities.
Participate in continuous improvement initiatives to enhance operational efficiency.
Requirements
Technical diploma in Mechanical Engineering or a related field.
At least 3 years of experience as a Mechanical Maintenance Technician in an industrial setting.
Strong understanding of mechanical systems and maintenance best practices.
Proficient in troubleshooting and repairing mechanical equipment.
Familiarity with hydraulic and pneumatic systems is a plus.
Excellent problem-solving skills and attention to detail.
Good communication skills and ability to work as part of a team.
Commitment to safety and compliance with regulations.
Location: San Francisco; New York
Workplace: Hybrid
ABOUT BASETEN
Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products.
THE ROLE
As a Solutions Architect at Baseten you will partner closely with Sales and customers to translate business needs into technical solutions, run technical discovery, and guide repeatable deployments and proofs of value for customers. This role is a great fit for entrepreneurial, customer-facing technical professionals who want a front-row view into how modern companies adopt AI at scale, and who enjoy working across technical discovery, solution design, demos, deployment scoping, and hands-on customer implementations, in close partnership with Sales and Engineering.
RESPONSIBILITIES
- Partner with Sales on customer discovery calls (most often second calls, occasionally first calls for large accounts).
- Lead demos and technical scoping to align on success criteria, architecture, and deployment approach.
- Own benchmarking and repeatable deployments, including:
- Handling standard deployment patterns and configurations across many modalities – LLMs, embeddings, image and video generation, Voice AI, etc.
- Advising on tradeoffs like H100s vs B200s and latency-optimized vs throughput-optimized setups.
- Driving consistent “playbook” style deployments for common models and use cases.
- Become a power user of different runtimes such as vLLM, SGLang, and TRT-LLM and all the common configurations and tradeoffs between them
- Drive POC and project execution, including:
- Scoping POCs and keeping stakeholders aligned on timeline, deliverables, and next steps.
- Acting as the “ringleader” or project manager for POCs.
- Pulling in Forward Deployed Engineering (FDE) support when deeper or more complex technical work is needed.
REQUIREMENTS
- AI/ML background and the ability to credibly discuss AI/ML topics with technical stakeholders.
- Strong customer-facing communication skills, including the ability to run structured discovery and clarify ambiguous requirements.
- Technical depth to scope solutions, without needing to write production code.
- Ability to script and prototype as needed, including comfort “vibe coding” to move quickly in technical workflows.
NICE TO HAVE
- Experience running or supporting benchmarks for ML inference deployments.
- Familiarity with infrastructure tradeoffs relevant to inference performance and cost (for example GPU selection and latency versus throughput tuning).
- Experience serving as a cross-functional technical lead for customer POCs, including coordination across Sales and Engineering.
BENEFITS
- Competitive compensation, including meaningful equity
- (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents
- Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)
- Paid parental leave
- Fertility and family-building stipend through Carrot
- (U.S. only) Company-facilitated 401(k)
- Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.
Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.
At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.
We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).
Location: Nicosia, Cyprus
Workplace: on-site
At TechBiz Global, we are providing recruitment service to our TOP clients from our portfolio. We are currently seeking a dynamic, career-oriented individual to join and lead our Corporate Accounting Department for the position of
Audit Manager.
Key Responsibilities
Plan, supervise, and review audit engagements to ensure high-quality delivery within agreed deadlines
Assess current financial practices and internal controls and provide recommendations for improvement
Review financial statements to ensure accuracy, completeness, and compliance with IFRS
Coordinate and liaise with external auditors and regulatory authorities when required
Supervise and manage client deadlines in accordance with the annual financial calendar
Ensure proper documentation and filing of audit working papers and related documents
Plan, assign, and review audit team members’ work
Provide mentorship, training, and performance feedback to team members
Build and maintain strong relationships with clients through professional communication
Prepare reports requested by management, including ad hoc analysis where necessary
Liaise with corporate administrators, tax authorities, and other governmental bodies when required
ACCA qualification (completed or in progress)
Bachelor’s degree in Accounting, Finance, or a related field
Minimum 3 years of experience in audit (preferably in a professional services firm)
Strong knowledge of IFRS and auditing standards
Experience supervising and mentoring audit staff
Excellent analytical and problem-solving skills
Strong organizational skills with the ability to manage multiple deadlines
Fluency in English and Greek (both written and spoken)
Strong communication and interpersonal skills
Ability to work independently and in a fast-paced environment
Why us
Working in a positive environment with people from different backgrounds and nationalities
Mobility & Secondment opportunities within our 21 offices in South East Europe, the Middle East and the Baltics
Provident Fund
Work from Home 1 day per week
Increasing number of annual leave days based on experience at the company
Friday afternoons off
3 weeks paternity leave
Dog friendly workplace
Potential development & growth through seminars, workshops and events
Location: Mexico; Colombia; Argentina
We are hiring
Mechanical Engineers
in LATAM to support U.S.-based engineering projects in a
remote, full-time, long-term contractor
capacity.
This role is ideal for engineers with strong experience in
reverse engineering
and
scan-to-CAD workflows
, working from
3D scan data
to replicate, analyze, and redesign mechanical parts and components.
Most of the work is developed in
SolidWorks
, and the projects typically support industrial and manufacturing applications across different sectors.
What You’ll Do
Develop mechanical models and engineering deliverables based on
3D scan data
Perform
scan-to-CAD
and
reverse engineering
work for existing parts and systems
Support dimensional interpretation and validation tasks
Collaborate remotely with the engineering team on U.S.-based projects
Contribute to mechanical design and engineering tasks as needed
Requirements
Mechanical Engineering
background (degree or equivalent experience)
Strong experience in
reverse engineering / scan-to-CAD workflows
Experience working with
3D scan data
Advanced proficiency in
SolidWorks
(daily use)
Experience in
industrial and manufacturing environments
Ability to interpret
GD&T
and dimensional requirements
Previous experience supporting
U.S. clients
or
U.S.-based projects
Strong communication skills in English
Availability to work
full-time (40 hours/week)
in a remote contractor role
Benefits
Work From Home or anywhere
Highly Competitive Compensation
Work for the most exciting companies in the US
Flexible Schedule
Healthy Work-Life Balance
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
As a Senior Data Center Capacity Delivery Manager at Anthropic, you'll embed with project teams responsible for delivery of leased and partnered data center capacity. Your primary role will be to lead these partners to deliver on the fastest possible schedule while maintaining a safe construction site and protecting the finished quality of the data center.
Additionally, you'll validate deal readiness, coordinate complex stakeholder relationships, maintain regular reporting and status tracking, and ensure seamless transitions from project inception through operational readiness.
This role offers a unique opportunity to shape how Anthropic secures and activates the compute infrastructure needed to train and deploy frontier AI systems, working at the intersection of real estate, construction, and cutting-edge AI infrastructure.
Responsibilities
Lead. This is a role where leadership trumps management and process. You will be at one or more project sites 60% of the time or more and expected to shape the culture, approach, and aggressiveness that define those extended site teams. The goal is to impact outcomes in a favorable manner.
You are expected to be a force multiplier that develops and enhances the skillset that development partners, general contractors, and key trades bring to the project(s) you are overseeing. That means being a subject matter expert in the various cross functional elements of data center delivery and increasing the team's performance with that knowledge and commitment to alignment.
Confirm deal readiness and serve as the gatekeeper to validate transaction viability from Letter of Intent (LOI) through lease execution, ensuring all predevelopment, planning, technical and business requirements are met before commitment
Partner with landlords and developers post-deal to serve as Anthropic's primary point of contact, coordinating across internal stakeholders, tracking construction progress, and facilitating critical information exchange between development partners and Anthropic stakeholders
Represent Anthropic in key technical and operational decisions required by partners during the development process, ensuring our infrastructure requirements are met while maintaining strong partnerships
Drive seamless handoffs to operational state with heavy focus on engagement across networking and deployment teams, enabling rapid workload turn-ups and minimizing time-to-production
Prepare and present regular executive reporting on progress versus plan for facility development, supporting forward capacity planning and strategic decision-making
Identify and mitigate risks throughout the delivery lifecycle, proactively addressing blockers that could impact timeline, cost, or technical requirements
Develop and refine standardized processes and playbooks for facility delivery, driving continuous improvement as Anthropic scales its infrastructure footprint
You may be a good fit if you
Have 10+ years of experience in the highest level of site leadership managing data center delivery, construction projects, or infrastructure deployment at scale. You won’t have a big direct team to delegate too but will instead be able to treat the entire cross functional organizations at a jobsite as your team.
Have a strong understanding of the end to end (dirt to delivery) data center development process to include entitlements and permitting, planning and supply chain, execution, commissioning, and handover. You are not an administrator but an active player in the arena comfortable making decisions and guiding delivery execution without the need to consult across multiple external parties.
You should understand data center design and construction as a simple and repeatable process that allows you to build and optimize delivery without a playbook and with minimal processes and tools handed to you. If you can think about building a data center the way kids might build a tree fort or construct a lego set, we want to talk.
In this role you will often be on an island and responsible for your own destiny. You will have free reign to develop your own approaches with the mission guidance being your only bounds. No one will be there to empower your efforts; you will create your own influence by building relationships at the site and diving in at all phases to deliver success.
You must thrive operating with ambiguity and have a willingness to own project outcomes, knowing that the buck stops with you.
In this role, it is imperative that you are as comfortable in boots on a job site working to solve productivity issues with a group of blue collar trades as you are working across executives at development and contractor partners to optimize contract and commercial structures that incentivize delivery speed.
It's a bonus if you
Understand AI/ML infrastructure requirements, including high-density power and advanced cooling systems
Have had leadership positions (General Superintendent, Project Manager) within a GC or EPC on hyperscale data center projects or in self performance of hyperscale data center development projects.
Prioritize extreme ownership and have the ability to create winning cultures across diverse job sites.
Are deeply familiar with lease negotiations, construction contracts, or real estate development processes and have strategies to move those arrangements from traditionally transaction and risk managed arrangements to collaborative efforts that align incentives around accelerated delivery of facilities
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:
$365,000
—
$435,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: San Francisco, CA | 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
The Account Abuse team is tasked with ensuring Anthropic’s computing capacity is allocated fairly, minimizing resources available to bad actors and preventing them from coming back. As a software engineer on this team, you will build systems that gather and analyze signals at scale, balancing tradeoffs and coordinating closely with stakeholder teams throughout the company. The ideal candidate can see things from opponents’ perspectives, understand their means and motives, and anticipate their responses to countermeasures.
Responsibilities:
Ability to think and respond quickly in a rapidly-changing greenfield environment
Jumping into other teams’ code to identify key points to gather signals or introduce interventions with minimal impact on their systems’ stability, complexity, or overall architecture
Integration with third-party data-enrichment vendors
Creating monitoring dashboards, alerts, and internal admin UX
Working closely with our data scientists to maintain situational awareness of our current usage patterns and trends, and with our Policy & Enforcement team to maximize the impact of their human-review availability
Building robust and reliable multi-layered defenses
Lead root cause analyses and deep-dive investigations into account activity to identify abuse patterns, uncover emerging attack vectors, and inform both immediate enforcement actions and longer-term systemic defenses
You may be a good fit if you have:
A Bachelor’s degree in Computer Science, Software Engineering or comparable experience
Proficiency in Python, SQL, and data analysis tools.
Strong communication skills and ability to explain complex technical concepts to non-technical stakeholders
Strong candidates may also:
8+ years of industry software engineering experience (not including internships and co-ops), preferably with a focus on integrity, spam, fraud, or abuse detection.
Have experience building trust and safety mechanisms for and using AI/ML systems, such as fraud-detection models or security monitoring tools or the infrastructure to support these systems at scale
Have worked closely with operational teams to build custom internal tooling
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: Cairo, Egypt
Müller's Solutions is actively searching for a knowledgeable Software Testing Trainer to join our team. In this role, you will be responsible for
1. Adapt training methods to different learner needs and skill level
2. Design and deliver training programs aligned with learning objectives
3. Facilitate learner engagement and interactive training sessions
4. Assess learning outcomes and provide constructive feedback
5. Evaluate training effectiveness and continuously improve content
6. Deliver testing training for neuro-diverse candidates
Technical Skills & Areas of Expertise:
· The instructor must be able to deliver high-quality instruction in the following areas:
· Testing Types: Functional vs. Non-functional, Regression, Smoke, Sanity, and UAT.
· Methodologies: Waterfall, V-Model, Agile/Scrum
· Test and Design Black-box (Equivalence Partitioning, Boundary Value Analysis), White-box, and Experience-based testing.
Requirements
Requirements:
. A Bachelor in Computer Science or Software Engineering
· ISTQB certified
· A minimum of 5 years of experience in Software Testing
· A minimum of 5 years of experience in professional training
· Knowledge of inclusive employment practices and workplace accommodations.
· Prior experience as an instructor, trainer, mentor, or teaching assistant
· Ability to explain technical concepts clearly and patiently
· Comfortable teaching beginners with little or no data background
· Strong written and verbal communication skills
· Experience delivering long-running or cohort-based programs
· Industry experience translating theory into practice
Benefits
Why Join Us:
Opportunity to work with a talented and passionate team.
Competitive salary and benefits package.
Exciting projects and innovative work environment.
Cairo, Egypt
УдалённоUnited States & Canada; Benefits and Perks (US Only) 💖
УдалённоRemote - US; Compensation for candidates in other locations will be discussed during the hiring process
Не хотите искать каждый день?
Настройте подбор один раз, и подходящие вакансии будут сами приходить в Telegram.
Настройте подбор, и подходящие вакансии будут приходить в Telegram.
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
