Location: New York City Office
Workplace: Hybrid
COMPANY DESCRIPTION
Today, when you go to your doctor and get referred to a specialist, your doctor sends out a referral and tells you, “They’ll be in touch soon.” So you wait. And wait. Sometimes days, weeks, or even months. Why? Because too often providers are overwhelmed with the painstakingly tedious work required to get paid by insurance companies. Powered by proprietary models, Tennr handles the complex paperwork that gets patients through the door and providers paid, helping operators get patients the right care, at the right time, in the right setting.
ROLE DESCRIPTION
As a Sr. Forward Deployed Engineer, you’ll lead the design, delivery, and ongoing optimization of automation solutions for Tennr’s most complex customers: large-scale health systems, national provider groups, and enterprise partners. This is a highly technical, strategic, and customer-facing role that demands deep domain fluency, executive presence, and strong systems thinking.
You’ll own enterprise-scale implementations end-to-end: from pre-sale discovery and business case alignment to go-live and expansion. You’ll act as both a trusted technical advisor and a project lead, working closely with senior customer stakeholders and cross-functional teams at Tennr to ensure lasting success.
This role sits within a high-performance implementation pod and directly influences Tennr’s go-to-market and product strategy.
RESPONSIBILITIES
- Lead end-to-end enterprise implementations, from discovery to post-go-live
- Align cross-functional teams and manage project delivery, risks, and change
- Conduct operational audits to identify workflow gaps and automation opportunities
- Design scalable, configurable solutions using Tennr’s platform and APIs
- Reimagine processes with automation best practices, not just replicate legacy systems
- Collaborate with Product, Engineering, and Sales to shape solutions and delivery scope
- Maintain documentation, enable knowledge transfer, and improve internal delivery tools
- Support sales strategy, mentor junior team members, and influence product roadmap
QUALIFICATIONS
- 4+ years of experience in enterprise SaaS delivery or solution design
- A degree or minor in Computer Science, Engineering, or a related technical field is strongly preferred
- Strong understanding of APIs, systems integration, and technical architecture
- Proven ability to lead complex technical engagements with large enterprise customers
- Skilled at communicating technical concepts to both executive and technical audiences
- Experience navigating complex org structures and aligning cross-functional stakeholders
- Strong problem-solving skills with a focus on strategic, scalable solutions
- Business acumen and domain fluency — ideally in healthcare or similarly complex industries
- Comfortable with ambiguity and fast-paced, unstructured environments
- Demonstrated ability to mentor others and contribute to team-wide best practices
- High ownership mindset and urgency — proactive, resourceful, and impact-driven
Nice to Haves
- Familiarity with workflow automation, RPA, or enterprise integration platforms (e.g., MuleSoft, Workato)
- Background in consulting, solution architecture, or technical customer success
- Experience in startup environments or scaling delivery functions
WHY TENNR?
- Drive Impact: one of our company values is Cowboy, meaning you set the pace. You won’t just talk about things, you’ll get them done. And feel the impact.
- Develop Operational Expertise: learn the inner workings of scaling systems, tools, and infrastructure
- Innovate with Purpose: we’re not just doing this for fun (although we do have a lot of fun). At Tennr, you’ll join a high-caliber team maniacally focused on reducing patient delays across the U.S. healthcare system.
- Build Relationships: collaborate and connect with like-minded, driven individuals in our Chelsea office 4 days/week
- Free lunch! Plus a pantry full of snacks.
BENEFITS
- Beautiful new office at 345 Hudson Street
- Unlimited PTO
- 100% paid employee health benefit options
- Employer-funded 401(k) match
- Competitive parental leave
Location: Boston, MA
Workplace: OnSite
At WHOOP, we're on a mission to unlock human performance and healthspan. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives.
WHOOP is hiring a Hardware Test Engineer (Manufacturing) to develop the automated test solutions that ensure every WHOOP device meets the highest standards of quality and reliability. You will drive manufacturing test strategy from early product development through mass production, developing test methodologies, electrical test systems, and automated test software that are deployed on manufacturing lines around the world. Working closely with Manufacturing Engineering, Electrical Engineering, Firmware, Mechanical Engineering, Quality Engineering, and the Manufacturing Platform Software team, you'll build scalable production test solutions that enable rapid product launches and world-class manufacturing quality.
RESPONSIBILITIES:
- Develop and implement manufacturing test solutions for products and subsystems, contributing to Design for Test (DFT) efforts throughout the product development lifecycle
- Develop and validate test methodologies to achieve appropriate coverage, accuracy, repeatability, and robustness for production use
- Design, build, and validate automated test equipment (ATE), electrical test systems, instrumentation, and control systems, and partner on the development of production test fixtures
- Develop automated test software in Python to control instrumentation and validate electrical, functional, RF, and sensor performance in manufacturing
- Collaborate with Hardware, Firmware, Manufacturing, Quality, and Mechanical Engineering teams to implement test requirements, improve test coverage, reduce cycle time, and increase manufacturing yield
- Support factory bring-up and production activities with manufacturing partners, including fixture qualification, calibration, troubleshooting, root cause analysis, and continuous improvement of deployed test systems
- Analyze manufacturing and test data using statistical methods to identify failure trends, evaluate test performance, and support improvements to product quality and manufacturing processes
- Own test development projects and execute defined workstreams within larger product development programs, working with senior engineers to resolve complex technical challenges
QUALIFICATIONS:
- Bachelor's degree in Electrical Engineering, Computer Engineering, or a related technical discipline
- 2+ years of experience developing hardware test systems, automated test equipment, or manufacturing test solutions for consumer electronics or similar products
- Strong fundamentals in electronics and experience working with laboratory instrumentation and communication protocols such as UART, I²C, SPI, USB, Bluetooth, or NFC
- Understanding of metrology fundamentals, including measurement accuracy, repeatability, and calibration
- Experience designing, building, or debugging electrical test systems, including schematics, test interface electronics, or PCBAs; experience with tools such as Altium Designer is a plus
- Proficiency in Python and experience using software to automate hardware, instrumentation, or test processes; experience with C/C++ or other systems languages is a plus
- Experience debugging hardware and software issues using structured problem-solving techniques
- Experience analyzing engineering or manufacturing data to evaluate test performance and identify failure trends; familiarity with SPC and manufacturing process capability is a plus
- Experience working in a manufacturing or production environment is preferred
- Strong analytical, troubleshooting, and communication skills with the ability to collaborate effectively across multidisciplinary engineering teams
- Ability to travel up to 15%, both domestically and internationally
- Strong commitment to leveraging AI tools in day-to-day tasks, ensuring AI-assisted work aligns with the same high-quality standards as personal contributions
This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office.
Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply.
WHOOP is an Equal Opportunity Employer and participates in E-verify https://www.e-verify.gov/to determine employment eligibility
The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values.
At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success.
The U.S. base salary range for this full-time position is $120,000 - $160,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training.
In addition to the base salary, the successful candidate will also receive benefits and a generous equity package.
These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements.
Location: Remote - United States
Workplace: Remote
Qdrant is an open-source vector search engine powering the next generation of AI applications, from semantic search and retrieval-augmented generation (RAG) to AI agents and real-time recommendations.
Trusted by global leaders like Canva, HubSpot, Tripadvisor, Bosch, and Deutsche Telekom, we’re building the retrieval infrastructure layer for modern AI. Recently raising $50M in Series B funding, we are growing rapidly and committed to transforming how AI understands and interacts with data.
As a remote-first company, we believe diverse backgrounds, perspectives, and experiences fuel innovation. Here, you’ll own meaningful work, tackle challenges, and grow alongside passionate individuals dedicated to shaping the future of AI.
We're looking for a Solutions Engineer to own the technical side of our enterprise deals, partnering with Account Executives as the technical authority rather than a supporting player. You'll lead the scoping, pricing, and deployment of semantic search, image and video search, and on-premise and edge deployment solutions for our most complex enterprise customers. This is a hands-on, customer-facing role for someone with real depth in solutions engineering who's ready to run high-stakes deals independently.
What you will own:
- Own Technical-to-Commercial Strategy: Translate complex architectural requirements (multi-AZ, sharding, replication) into accurate pricing models and contract terms, independently protecting deal value in high-stakes negotiations.
- Drive Deal Execution End to End: Own the technical sales workflow across Support, Product, and Engineering to unblock POCs, resolving cross-functional bottlenecks without escalation.
- Identify and Mitigate Deployment Risk: Proactively spot noisy neighbor issues, latency bottlenecks, and resource contention before they threaten renewals or expansions, and advise customers on architectural fixes.
- Lead Architectural Reviews and Migration Assessments: Run discovery sessions solo, validate use cases, and design migration paths from legacy search engines like Elastic, Solr, and OpenSearch to Qdrant.
- Design Resilient, Production-Grade Architecture: Spec high-availability search clusters that meet demanding customer SLAs and throughput requirements, including for the most technically complex accounts.
- Own Client Trust at the Executive Level: Serve as the primary technical authority during evaluation, guiding customers to value quickly and acting as a long-term advisor beyond the initial sale.
Who you are
- 2-5 years of technical, customer-facing experience in Sales Engineering, Solutions Architecture, or Technical Consulting, with a track record of owning complex, high-value deals independently, including at least 2 years of direct, hands-on vector search experience (Qdrant, Pinecone, Weaviate, Zilliz/Milvus, or similar). Background in data science, computer engineering, or a previous DevOps/SRE role, with demonstrated depth rather than surface exposure is preferred.
- Strong scripting ability in Python or Bash, used to build reusable tools and validate business value at scale, not just one-off scripts.
- Fluency in calculating total cost of ownership (TCO) and estimating hardware requirements (RAM, CPU, disk) for distributed systems, including for multi-region or highly regulated deployments.
- Deep expertise in Kubernetes and cloud platforms (AWS, GCP, or Azure), with a clear point of view on how infrastructure choices affect cost and performance at scale.
- Excellent communication skills, comfortable running the room with engineers, VPs, and business stakeholders alike, and able to influence without authority across internal teams.
Preferred Qualifications
- Exposure to enterprise procurement processes, infosec questionnaires, or MSA redlines.
WHY JOIN US
- A remote-first, international team working on cutting-edge AI infrastructure.
- A competitive salary with additional perks.
- Flexible working hours and async-friendly culture.
- High ownership and real impact.
- Open-source, engineering-driven culture.
- Choose your own laptop equipment.
For US-based full-time employees, we also offer a comprehensive benefits package including 401k match, health, dental, and vision insurance, plus flexible PTO policy.
Qdrant is an equal-opportunity employer. We believe the best ideas come from diverse teams, and we actively welcome applicants from all backgrounds. If this role excites you but you don't check every single box, we'd still love to hear from you! We don't want to miss out on great people because of a checklist.
Come build with us!
FOR INFORMATION ON HOW WE HANDLE YOUR PERSONAL DATA, PLEASE REFER TO OUR RECRUITMENT PRIVACY POLICY https://qdrant.tech/legal/recruitment-privacy-policy/
#LI-REMOTE
Location: Germany
Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further.
ABOUT THE ROLE
We are seeking a skilled and motivated Field Operations Team Lead to support the deployment, integration, and maintenance of our humanoid robot solutions at customer facilities. As the on-site operations lead, you will coordinate site activities, collect operational data, and supervise a team of Field Operations Associates. This position requires problem-solving skills, sound judgement under pressure, and a customer-centric approach.
.
WHAT YOU'LL DO
- Supervise a team of Field Operations Associates, setting and maintaining high standards in a demanding operational setting. This is a hands-on operational and technical leadership role representing Humanoid at customer sites.
- Act as the on-shift operational leader, ensuring that the appropriate tools, spare parts, and equipment are available.
- Supervise standard operating procedures (SOPs) for customer sites and document learnings from field issues.
- Test product releases and robot capabilities.
- Diagnose hardware and software issues using logs, diagnostics, and field observations, performing maintenance where appropriate.
- Collect, analyse, and interpret operational data to evaluate robot performance, identify bottlenecks, and drive continuous improvements.
- Track, document, and reproduce software and hardware issues, providing clear technical feedback to engineering and product teams.
- Tackle production incidents and technical issues in cooperation with service and engineering teams.
- Act as the primary on-shift liaison between the deployed location and Humanoid offices.
REQUIREMENTS
- Bachelor's degree in Robotics, Computer Science, Mechatronics, Engineering, or a comparable field (or technical equivalent).
- 2–5 years of experience in industrial automation, robotics, or automotive integration, deployment, and development.
- Strong technical understanding of mechanical, electrical, and networking systems, with hands-on experience in troubleshooting, assembly, and maintenance.Excellent problem-solving, analytical, and decision-making skills, particularly in high-pressure operational environments.
- Strong communication, documentation, and stakeholder management skills, with the ability to work independently in dynamic customer environments.
- Familiarity with project management and collaboration software (Confluence, Jira, etc.).
- Business-fluent English.
- Flexibility to support future assignments at customer sites and occasional visits to company locations in the UK and Europe.
- Unrestricted right to work and live in the European Union.
WHAT WE'RE LOOKING FOR
- Prior experience in warehouse/logistics automation, industrial robotics, or humanoid robotics deployment.
- Working knowledge of a relevant local language (e.g. German).
- Valid Class B (or equivalent) driver's licence.
- Familiarity with software integration and sensor-based automation.
- Experience with commissioning, acceptance testing, or software validation.
- Experience working in complex operational environments.
- Experience working directly with customers in an operational leadership role.
Location: Mississauga
Workplace: hybrid
At PointClickCare our mission is simple: to help providers deliver exceptional care. And that starts with our people. As a leading health tech company that’s founder-led and privately held, we empower our employees to push boundaries, innovate, and shape the future of healthcare.
With the largest long-term and post-acute care dataset and a Marketplace of 400+ integrated partners, our platform serves over 30,000 provider organizations, making a real difference in millions of lives. We also reinvest a significant percentage of our revenue back into research and development, ensuring our employees have the resources to innovate and make a lasting impact. Recognized by Forbes as a top private cloud company and honored as one of Canada’s Most Admired Corporate Cultures, we offer flexibility, growth opportunities, and meaningful work.
At PointClickCare, we empower our people to be the architects of a smarter healthcare future; one that is human-first and accelerated by AI to create meaningful and lasting change. Employees harness AI as a catalyst for creativity, productivity, and thoughtful decision-making. By integrating AI tools into our daily workflows, collaboration is enhanced, outcomes are improved, and every team member has the proficiency to maximize their impact. It all starts with our hiring practices where we uncover AI expertise that complements our mission, and we continue to invest in training and development to nurture innovation throughout the employee journey.
Join us in redefining healthcare — so it doesn’t just survive, it thrives. To learn more about PointClickCare, check out Life at PointClickCare and connect with us on Glassdoor and LinkedIn.
**Travel to Office expectations**
For Remote Roles: If this role is remote, there will be in-office events that will require travel to and from the Mississauga and/or Salt Lake City office. These will include, but not limited to, onboarding, team events, semi-annual and annual team meetings.
For Hybrid Roles: If this role is Hybrid, there will be an expectation to reside within commutable distance to the office/location specified in the job listing. This will include, but not limited to, weekly/bi-weekly/monthly events in the office with your specific team. This is a requirement for this role.
Team Summary
This team will serve as the product owner for the machine learning platform capabilities within PointClickCare, working closely with other engineering teams across the organization to identify, build and support traditional machine learning (ML) and hybrid ML/LLMsolutions. This centralized team with deep specialization will closely integrate with key horizontal partners to ensure delivery of safe, scalable, and high-impact AI products.
Job Summary
The Senior Machine Learning Systems Engineer will work closely with the Product and Engineering teams to design, build, and operate the machine learning platform that enables teams across PointClickCare to develop, deploy, and scale ML solutions. The Senior AI Machine Learning Systems Engineer will also build and maintain the pipelines, tooling and infrastructure for model training, deployment, serving, and monitoring that underpin our AI products.
Key Responsibilities
Collaborate with product and engineering teams to translate ML needs into reliable, reusable platform capabilities.
Design and build scalable data and ML pipelines that support model training, evaluation, deployment, and serving.
Develop and maintain ML Ops tooling and workflows, including CI/CD for models, model registry, feature stores, and experiment tracking.
Ensure the reliability, observability, and performance of ML systems in production through monitoring, alerting, and automated remediation.
Implement comprehensive security mechanisms for the ML platform, including authentication, role-based access control, audit logging, and compliance monitoring.
Securely integrate the platform with existing systems, APIs, and data sources with secure communication protocols, and optimize infrastructure for cost, performance, and scale.
Mentor engineers on the teams and promote reusable platform patterns and best practices.
Qualifications & Skills
Expert level in Python and Java, and strong software engineering fundamentals.
Experience designing and building ML platforms and MLOps workflows, with familiarity with tools such as MLflow, Kubeflow, Ray, and model-serving frameworks.
Experience with cloud platforms (Primarily Azure, secondarily AWS and GCP)
Experience with ML runtime containerization, optimization, and orchestration (Docker, Kubernetes).
Preferred
Bachelor’s degree or higher in Computer Science, Machine Learning, or a related field.
Working familiarity with Azure Machine Learning components and Databricks processing and serverless environments
Experience implementing security at scale including role-based access control, multi-factor authentication, network security best practices, and compliance monitoring.
Experience optimizing large model training and inference (including LLM serving) for performance and cost.
#LI-AV1
#LI-Hybrid
PointClickCare Benefits & Perks:
Benefits starting from Day 1!
Retirement Plan Matching
Flexible Paid Time Off
Wellness Support Programs and Resources
Parental & Caregiver Leaves
Fertility & Adoption Support
Continuous Development Support Program
Employee Assistance Program
Allyship and Inclusion Communities
Employee Recognition … and more!
It is the policy of PointClickCare to ensure equal employment opportunity without discrimination or harassment on the basis of race, religion, national origin, status, age, sex, sexual orientation, gender identity or expression, marital or domestic/civil partnership status, disability, veteran status, genetic information, or any other basis protected by law. PointClickCare welcomes and encourages applications from people with disabilities. Accommodations are available upon request for candidates taking part in all aspects of the selection process. Please contact recruitment@pointclickcare.com should you require any accommodations. As part of our commitment to a streamlined and equitable hiring experience, PointClickCare uses AI tools to assist with candidate screening and assessment.
When you apply for a position, your information is processed and stored with Lever, in accordance with Lever’s Privacy Policy. We use this information to evaluate your candidacy for the posted position. We also store this information, and may use it in relation to future positions to which you apply, or which we believe may be relevant to you given your background. When we have no ongoing legitimate business need to process your information, we will either delete or anonymize it. If you have any questions about how PointClickCare uses or processes your information, or if you would like to ask to access, correct, or delete your information, please contact PointClickCare’s human resources team: recruitment@pointclickcare.com
PointClickCare is committed to Information Security. By applying to this position, if hired, you commit to following our information security policies and procedures and making every effort to secure confidential and/or sensitive information.
At PointClickCare, base salary is one of the many components that make up our total rewards package. The CAD base salary range for this position is $174,000-$218, 000 (not overtime eligible) + bonus + benefits. Compensation is assessed individually and aligned to experience, skills, and market context. The posted range reflects typical expectations for this role
Location: Singapore, Singapore
OKX will be prioritising applicants who have a current right to work in Singapore, and do not require OKX's sponsorship of a visa.
Who We Are
At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom.
OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves.
Across our multiple offices globally, we are united by our core principles:
We Before Me
,
Do the Right Thing
, and
Get Things Done
. These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er.
OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more.
About The Opportunity
We are currently seeking a Public Cloud Operations Expert to join our Singapore team. You be will responsible for the full lifecycle management of enterprise-level hybrid cloud infrastructure, leading unified orchestration, operations, and cost optimisation of AWS and Alibaba Cloud resources, ensuring high availability, high performance, and compliance.
What You’ll Be Doing
Cloud Platform Architecture & Operations
Plan, deploy, monitor, and maintain AWS services (EC2, S3, VPC, Lambda, EKS, etc.) and Alibaba Cloud services (ECS, OSS, VPC, Function Compute, ACK, etc.).
Design highly available, auto-scaling cloud architectures, optimizing network (e.g., Alibaba Cloud CEN, AWS Direct Connect), storage, and compute resource configurations.
Monitoring & Incident Management
Implement full-stack monitoring and alerting using cloud-native tools (AWS CloudWatch, Alibaba Cloud CloudMonitor) and open-source solutions (Prometheus+Grafana, ELK).
Lead critical incident response, perform root cause analysis, and implement preventive measures (e.g., resource contention, misconfigurations, network latency).
Cost Optimisation & Resource Management
Analyse cloud resource usage, reduce costs via reserved instances, auto-scaling, and storage lifecycle policies (e.g., AWS S3 Intelligent-Tiering, Alibaba Cloud OSS Archive).
Establish resource quota management strategies to prevent waste and overspending.
Security & Compliance
Implement cloud security baselines (security groups, IAM policies, Alibaba Cloud RAM permissions, AWS Security Hub), conduct regular security audits, and remediate vulnerabilities.
Design granular access controls using AWS IAM and Alibaba Cloud RAM, and enforce database auditing (e.g., AWS CloudTrail + Alibaba Cloud DAS).
Cross-Team Collaboration & Knowledge Sharing
Collaborate with development teams to optimize application architectures and provide cloud-native solutions (Server-less, Microservices).
Document operational procedures (SOP manuals) and lead internal technical training sessions.
What We Look For In You
Technical Skills
Mastery of core services (compute/storage/network/security) on AWS or Alibaba Cloud, with familiarity in the other platform.
Proficient in Linux/Windows system operations and automation tools (Shell/Python/Ansible).
Hands-on experience with containerized operations (Kubernetes, ECS/EKS, ACK) and cloud-native technologies (e.g., Service Mesh).
Experience Requirements
5+ years of operations experience, with at least 3 years focused on public cloud (AWS/Alibaba Cloud) environments managing 100+ instances.
Experience in building cloud platforms from scratch, hybrid cloud architecture design, or large-scale migration projects (e.g., IDC-to-cloud) is preferred.
Team Management
Excellent team management and communication skills to lead and collaborate with operations, development, testing, and security teams.
Certifications & Education
AWS Certified SysOps Administrator or Alibaba Cloud ACP/ACE certifications are preferred.
Bachelor’s degree or higher in Computer Science, Network Engineering, or related fields.
Nice-To-Haves
Familiarity with multi-cloud management platforms (AWS, Alibaba Cloud, Azure) or FinOps cost optimisation methodologies.
Experience in cloud security practices, including Web Application Firewall (WAF) and DDoS protection (Alibaba Cloud Anti-DDoS Premium, AWS Shield).
Exposure to big data/AI operations (e.g., Alibaba Cloud MaxCompute, AWS EMR).
Perks & Benefits
Competitive total compensation package
L&D programs and education subsidy for employees' growth and development
Various team building programs and company events
Wellness and meal allowances
Comprehensive healthcare schemes for employees and dependants
More that we love to tell you along the process!
Notice:
All official
OKX
vacancies are published on this website.
While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated.
If in doubt, please apply directly through our official careers website.
Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to
OKX
's
Candidate Privacy Notice
.
Location: Madrid
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
- GTM technical expert: Design and demo Sierra’s incredible Agent product, offering technical solutions to solve for our customer’s needs, and answering technical questions about our solutions.
- Cross-functional work: You will work directly with our Sales, Product and Agent Engineering teams to both drive our GTM function, as well as continuously improve our Agents through our customer-driven product development philosophy.
- Lead & support our customers: As a GTM and technical leader in the earliest conversations with our future customers, you will both understand and anticipate their needs to continue our industry-leading AI solution.
WHAT YOU'LL BRING
- 5-7+ years experience in Sales Engineering, Solutions Engineering or customer-facing technical sales.
- Exceptional verbal and written communication abilities. Professional fluency in both Spanish and English.
- Past experience in demo building, and presenting, and working with customers or clients in the GTM function.
- Experience in relationship-building with potential customers, including executives and technical leaders.
- Experience in leading the sales process with Enterprise customers.
- Ability to connect a prospect’s specific business problems and Sierra’s solutions and explain them to both a technical and non-technical audience
- Bachelor's Degree or above; bonus if in Computer Science or related field, or equivalent professional experience.
EVEN BETTER...
- AI-related experience (or experience in a similarly modern and highly technical industry).
- Experience translating code, technical logic and user requirements to product and engineering requirements.
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.
Anthropic Fellows Program overview:
The program is designed to foster AI research and engineering talent by providing funding and mentorship to promising technical talent regardless of previous experience. Fellows primarily use external infrastructure such as open-source models and public APIs to work on projects aligned with Anthropic's research priorities, aiming to produce a public output like a paper submission. Multiple cohorts run each year with rolling application reviews.
What to expect:
— 4 months of full-time research
— Direct mentorship from Anthropic researchers
— Weekly stipend of 3,850 USD / 2,310 GBP / 4,300 CAD plus benefits varying by country
— Funding for compute (~$15k/month) and other research expenses
Interview process:
Includes initial application and reference check, assessments and interviews, and a research discussion.
Compensation:
Expected base stipend is 3,850 USD / 2,310 GBP / 4,300 CAD per week for 40 hours per week over 4 months, with possible extension.
The Anthropic Institute Fellows (Economics & Policy):
Mentors and research areas include Economics (Maxim Massenkoff, Peter McCrory) and Policy, Security, and Society (Jack Clark, Marina Favaro, Jim Baker).
Projects may include:
— Designing and conducting empirical research on AI's economic effects using external data sources
— Developing new methodological approaches for studying AI's impact on labor markets, future of work, and society
— Analyzing offense–defense balance for AI-enabled cyber and bio capabilities as models scale
— Measuring model performance increases with custom harnesses
— Identifying market-driven mechanisms to improve societal resilience to AI threats
— Identifying AI R&D metrics as early warning signals for recursive self-improvement
Candidate criteria:
— Interest in economics or policy research; prior experience is a plus but not required
— Adaptable and collaborative, able to take direction and contribute to team priorities
— Skilled at writing and communicating results, including null or unexpected findings
— Passionate about translating research insights into actionable recommendations for AI systems and policy
Good fit if:
— Motivated to ensure AI is safe and beneficial for society
— Interested in transitioning into AI research and possibly a full-time role at Anthropic
— Strong track record of empirical research
— Thrives in fast-paced, collaborative environments
— Can implement ideas quickly and communicate clearly
Requirements:
— Fluent in Python programming
— Available full-time for the Fellows program
Logistics:
— Must have work authorization and be located in the US, UK, or Canada during the program
— Workspace available in San Francisco; remote fellows accepted in UK, US, or Canada
— No visa sponsorship available; candidates must have or obtain full-time work authorization independently
— Program duration is 4 months full-time; partial commitments considered case-by-case
Additional notes:
— The program encourages applications from underrepresented groups and those who may doubt their qualifications.
— Anthropic is a public benefit corporation headquartered in San Francisco offering competitive compensation, benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and office space for collaboration.
— Candidates should be cautious of scams and only trust communications from @anthropic.com email addresses.
Anthropic Fellows Program is designed to foster AI research and engineering talent by providing funding and mentorship to promising technical talent regardless of previous experience. Fellows primarily use external infrastructure such as open-source models and public APIs to work on empirical projects aligned with Anthropic's research priorities, aiming to produce public outputs like paper submissions. The program runs multiple cohorts yearly with rolling application reviews, expecting a start in January 2027 but flexible start dates can be requested.
The program includes 4 months of full-time research, direct mentorship from Anthropic researchers, access to a shared workspace, connection to the AI safety and security research community, a weekly stipend of 3,850 USD / 2,310 GBP / 4,300 CAD plus benefits varying by country, and funding for compute (~$15k/month) and other research expenses.
The interview process involves an initial application and reference check, technical assessments and interviews, and a research discussion. Applicants are encouraged to apply even if they do not meet every qualification, with emphasis on diversity and inclusion.
There are two main fellow tracks:
ML Systems & Performance Fellows:
- Mentors include Alwin Peng and Zygi Straznickas.
- Projects may involve building CPU simulators for accelerator workloads, adding backends for accelerators on open source projects, building on-demand infrastructure, and creating complex synthetic data or environment pipelines.
- Candidates should have strong software engineering skills, experience with complex ML systems, ability to balance research and engineering rigor, comfort with large-scale distributed systems and high-performance computing, experience with training or evaluating large language models, and skills in analyzing and debugging model training.
- Fluency in Python and full-time availability are required.
Reinforcement Learning Fellows:
- Mentors include Ruhua Jiang, Kaidi Cao, Sunny Duan, David Brandfonbrener, Colt Steele, Dino Distefano, and Will Williams.
- Projects may include building model-based tools to understand and improve AI training data, research on generalization, creating RL environments to improve Claude models and safety-related tasks, and research and implementation of RL algorithms.
- Candidate criteria are similar to ML Systems Fellows.
Logistics:
- Participants must have work authorization and be located in the US, UK, or Canada during the program.
- Shared workspaces are available in San Francisco; remote participation is allowed in the UK, US, or Canada.
- Visa sponsorship is not provided; candidates must have or obtain full-time work authorization independently.
- The program duration is 4 months full-time, with possible extensions and flexibility for partial commitments.
Additional notes:
- No guarantee of full-time offers post-program, though strong performers may receive offers or continue impactful AI safety work elsewhere.
- Anthropic's full-time role policies do not apply to the Fellows Program.
- The company emphasizes collaborative, large-scale AI research with a focus on safety, interpretability, and steerability.
- Candidates must be fluent in Python and able to commit full-time.
- The program values diversity and encourages applications from underrepresented groups.
- Safety advice is provided regarding recruitment communications.
Apply at the provided link.
Location: Seoul, South Korea
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 an Applied AI team member at Anthropic, you will be a pre-sales architect focused on becoming a trusted technical advisor helping large enterprises in Korea understand the value of Claude and paint the vision on how they can successfully integrate and deploy Claude into their technology stack. You'll combine your deep technical expertise with customer-facing skills to architect innovative LLM solutions that address complex business challenges while maintaining our high standards for safety and reliability.
Working closely with our Sales, Product, and Engineering teams, you'll guide customers from initial technical discovery through successful deployment. You'll leverage your expertise to help customers understand Claude's capabilities, develop evals, and design scalable architectures that maximize the value of our AI systems.
Responsibilities:
Partner with account executives to deeply understand customer requirements and translate them into technical solutions, ensuring alignment between business objectives and technical implementation
Serve as the primary technical advisor to enterprise customers in Korea throughout their Claude adoption journey, from discovery to initial evaluation through deployment. You will need to coordinate internally across multiple teams and stakeholders, including global teams across time zones, to drive customer success
Support customers building with both the Claude API and Claude for Work
Create and deliver compelling technical content tailored to different audiences. You will need to be able to span the gamut from technical deep dives for engineering and development teams up to business value focused conversations with executives
Guide technical architecture decisions and help customers integrate Claude effectively into their existing technology stack
Help customers develop evaluation frameworks to measure Claude's performance for their specific use cases, including Korean language use cases
Identify common integration patterns and contribute insights back to our Product and Engineering teams
Travel occasionally to customer sites for workshops, technical deep dives, and relationship building
Maintain strong knowledge of the latest developments in LLM capabilities and implementation patterns
You may be a good fit if you have:
5+ years of experience in people management for the technical sales roles.
Experience working with enterprise customers, navigating complex buying cycles involving multiple stakeholders
Exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders, including C-suite executives, engineering and IT teams, and more
Strong technical communication skills with the ability to translate customer requirements between technical and business stakeholders
Experience designing scalable cloud architectures and integrating with enterprise systems
Familiarity with common LLM frameworks and tools or a background in machine learning or data science
Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities
A love of teaching, mentoring, and helping others succeed
Excellent communication and interpersonal skills, able to convey complicated topics in easily understandable terms to a diverse set of external and internal stakeholders
Passion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems
Fluency in Korean and English
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:
— Управление полным циклом продаж от первого звонка/теплого лида до подписания контракта (краткосрочные проекты и долгосрочные технические партнерства).
— Тесное взаимодействие с командой лидогенерации для направления и активного участия в стратегии поиска клиентов на Upwork.
— Эффективная квалификация клиентов с минимальной нагрузкой на них и предложение гибких решений при превышении бюджета.
— Координация с бизнес-аналитиками, дизайнерами и техническими командами для подготовки оценок и передачи проектов менеджерам.
— Продажа веб-приложений (React, Node, Python), AI/ML проектов и контрактов на расширение команды (Outstaff) сроком более 6 месяцев.
— Активное использование AI-инструментов для ускорения процессов, анализа требований и подготовки предложений.
— Быстрая и проактивная коммуникация с международными клиентами, адаптация к часовым поясам США, Канады и Европы.
Требования:
— Опыт работы в IT бизнес-развитии не менее 2 лет с акцентом на закрытие сделок.
— Обязательный опыт лидогенерации не менее 2 лет.
— Подтвержденный опыт продаж аутсорсинговых проектов веб-приложений и долгосрочных контрактов.
— Опыт управления несколькими пресейл-процессами и ведения сложных переговоров.
— Практический опыт использования AI-инструментов для оптимизации продаж.
— Проактивность и лидерские качества, умение планировать и не ждать готовых брифов.
— Уверенное владение CRM и ERP системами.
— Свободное владение английским языком (C1+).
— Проживание за пределами России и Беларуси.
Плюсы:
— Опыт продажи проектов с оплачиваемыми фазами Discovery.
— Опыт продажи AI/ML проектов (NLP, Computer Vision и др.).
— Опыт продажи контрактов на расширение команды / Outstaff.
— Способность участвовать в технических обсуждениях по React, Node.js, Python или Flutter.
Условия:
— Полностью удаленная, полная занятость.
— Гибкий график с работой в европейских и международных часовых поясах.
— Базовая зарплата $800–1000 + неограниченная комиссия 5–8%.
— Оплата испытательного срока $1300–1500 при выполнении активностей.
— 20 оплачиваемых отпускных дней + 5 больничных + дополнительные выходные.
— Работа с международными клиентами на высокоценных проектах.
— Культура AI-first: активное использование и разработка AI.
— Возможности карьерного роста в расширяющемся отделе бизнес-развития.
Location: Remote - US
About Backblaze
Backblaze is the object storage leader in the open cloud movement, fueling customer success with cloud storage built purposefully to unlock budgets, unburden administrators, and unleash innovators. Together with our partners, we’re helping customers break free from the restrictive, overpriced legacy solutions that hold them back, and blaze forward with the full power of the open cloud in their hands.
Founded in 2007, we scaled the business with less than $3 million in outside funding until 2021, when we did a traditional IPO on the Nasdaq stock exchange. Today, Backblaze generates over $100m in revenue and is the leading specialized storage cloud, managing over three billion gigabytes of data storage for 500K+ customers in 175+ countries, including businesses, developers, IT professionals, and individuals.
But while there is a lot to celebrate in our past, there is almost as much opportunity ahead of us. We’re seeking a
B2 Principal Product Manager
to join our team!
About the Role
We are seeking an ambitious and accomplished Principal Product Manager to join our Product team. Backblaze’s B2 cloud object storage offers multi-exabyte, S3-compatible, globally available object storage that unlocks app builder innovation across AI neoclouds and traditional hyperscalers at a fraction of the cost of traditional cloud infrastructure hyperscalers.
The Principal Product Manager for B2 will work closely with key stakeholders to understand the evolution of cloud storage and the customer problems in the space, and determine product strategies and roadmap to address those problems. This person will work independently to lead efforts for new feature discovery and delivery, as well as improvements to execute on those strategies. Understanding customer problems through interviews and market research, and translating them into requirements, is critical.
What You'll Do
Drive B2 product strategy and roadmap development through delivery execution.
Lead the end-to-end product development lifecycle from discovery through delivery in feature development.
Gather and synthesize inputs for discovery and prioritization from internal functions, customers, and partners across the full spectrum of R&D development, including feature capabilities, user experience challenges, cost optimization, and technical debt.
Translate complex customer challenges into clear, concise, and actionable product requirements in collaboration with Design, Engineering, and GTM teams.
Collaborate with Product Marketing to launch and drive adoption of new products and features.
Act as a subject matter expert and evangelist for Backblaze's solutions, presenting to customers, prospects, partners, and internal teams.
Establish and track key product metrics (KPIs), using data to guide iteration and growth decisions.
Maintain a deep understanding of the latest advancements in the object storage market, including customer use cases and competitive offerings, to identify new opportunities and ensure Backblaze’s market leadership position.
The Right Fit
8+ years of Product Management experience in tech businesses, preferably on IaaS and/or SaaS offerings.
A proven track record of successfully launching and scaling technical products or platforms in high-growth businesses involving in-depth cross-functional collaboration and leadership across R&D and go-to-market functions.
Strong grasp of cloud architecture, APIs, and security and compliance.
Proven success in owning product roadmaps, defining MVPs, and driving the complete product life cycle.
Strategic thinker who can translate market trends, customer needs, and technical innovations into a clear product vision and actionable roadmap.
Deep empathy for customers and users in gathering and synthesizing input, and a passion for solving their most pressing security challenges.
Outstanding communication and leadership skills with a collaborative and team-oriented approach to identifying problems, determining potential solutions, and building consensus around your vision with internal and external stakeholders.
Excellent written and verbal communication skills.
Experience applying data and metrics to inform product decisions and measure success.
Bonus Points For
Expertise in cloud storage and computing from hyperscale and neocloud providers, such as AWS, Azure, GCP, GPU clouds, and CDNs.
Bachelor's degree in Computer Science, Engineering, or a related field.
MBA degree.
Application development programming experience.
Expertise in applying GenAI in solution prototyping and agentic workflow development.
Backblaze Perks
RSU grants for full-time employees.
Annual company bonus plan.
Healthcare for family, including dental and vision.
401K.
ESPP program.
Flexible vacation policy.
Maternity and paternity leave.
MacBook Pro for work, plus a generous stipend to personalize your workstation.
Childcare bonus (human children only).
Fertility treatment and support.
Learning and development program.
Commuter benefits.
A culture that supports a healthy work-life balance.
To provide greater transparency to candidates, we share base pay ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar-stage growth companies. Final offer amounts are determined by multiple factors, including candidate location, skills, depth of work experience, and relevant licenses or credentials, and may vary from the amounts listed below.
The expected salary range for this role is $225,000 to $250,000.
At Backblaze, we value being fair and good to our customers, partners, and employees. That’s why diversity, equity, and inclusion are at the core of our values. We are committed to fostering a workforce where all employees feel a sense of belonging regardless of race, ethnicity, nationality, gender, sexual orientation, age, religion, socio-economic status, ability, veteran status, and education. We believe that our dedication to cultivating a diverse workspace not only allows us to better serve our customers in over 175 countries, but further reinforces our commitment to doing the right thing.
We are proud to be an Equal Opportunity Employer.
To understand more about the data we collect and process as part of your application, please view our
Backblaze Employee Privacy Notice.
Задачи:
— разработка, обучение и оптимизация ML/AI-моделей на PyTorch и/или TensorFlow
— проектирование end-to-end ML-пайплайнов
— работа с LLM, NLP, Computer Vision и Generative AI
— подготовка моделей к production и масштабированию
— интеграция моделей с backend
— оптимизация inference и производительности
— построение MLOps-процессов
— работа с Docker и cloud-инфраструктурой
— принятие архитектурных решений и техническое руководство AI-командой
Требования:
— от 4 лет коммерческого опыта в Machine Learning / AI Engineering
— практический опыт разработки и внедрения ML-моделей в production
— уверенный Python
— PyTorch и/или TensorFlow
— понимание Machine Learning и Deep Learning
— знание ML-метрик и методов оптимизации моделей
— Docker, Git
— AWS или аналогичные cloud-платформы
— практический опыт с MLflow, Kubeflow, AWS SageMaker или аналогичными MLOps-инструментами
— свободный английский язык
Условия:
— full-time
— офис в Ташкенте
— официальное трудоустройство по ТК Узбекистана
— вилка от $3,500
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
We are seeking an experienced and strategic transactional attorney to join the IP team within our growing legal department. In this role, you will be responsible for the IP side of Anthropic's transactions, partnering with the M&A and commercial counsel who lead each deal. You will conduct IP diligence and negotiate IP terms for our acquisitions and investments, help advise on IP terms in our most complex commercial and research agreements, and drive the playbooks and processes that make our processes scalable. You will partner closely with the Head of IP (direct manager), our M&A and Commercial Legal teams, and Corporate Development on questions and issues that are very often new.
Responsibilities
Lead the IP workstream on acquisitions and strategic investments, from diligence through letters of intent, definitive agreements, closing, and integration, alongside our M&A counsel and outside counsel
Partner with commercial counsel on the IP aspects of complex enterprise, partnership, research collaboration, and vendor agreements, advising on and negotiating IP terms
Serve as the primary point of contact on IP terms for commercial legal and other colleagues, and help train them so they can resolve more IP questions on their own
Drive the playbooks, templates, and processes that let a lean team handle IP terms across a high volume of deals
Contribute to broader IP strategy, particularly where transactions intersect with open source, trade secrets, patents, or new business models
Minimum qualifications
Hold a law degree (JD, LLB, or equivalent) and meet the local licensing requirements to work as in-house counsel where you'll be based
Have substantial experience leading IP due diligence and negotiating IP terms in technology M&A
Have first-chair experience negotiating IP provisions in complex commercial technology agreements, such as licenses, joint development agreements, and services agreements
Have the ability to communicate IP risks and tradeoffs clearly to business leaders and non-specialist lawyers, and to exercise sound judgment about when to hold a position
Have strong working knowledge of open source licensing, employee and contractor IP assignment obligations, and trade secret protection
Preferred qualifications
10+ years of transactional IP experience at a nationally recognized law firm, a technology company, or both
Experience building negotiation playbooks, templates, or diligence processes that other lawyers relied on
Experience with AI, machine learning, data licensing, or other emerging technology
Curiosity about AI and a commitment to its responsible development
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:
$335,000
—
$385,000 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
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 a Privacy Counsel to join our Legal team. You'll counsel on complex privacy issues and build the processes and programs that address privacy and data protection in a global context. This is a unique opportunity to join a dynamic and growing team, where you will have the chance to shape the company's privacy and data protection strategy and compliance program.
You will work at the intersection of novel legal questions, fast-moving product development, and a high-profile regulatory environment, partnering cross-functionally with Legal, Integrity & Compliance, Safeguards, Security, Policy, Research and Product.
Key responsibilities
Counsel product, research and engineering teams across the model and product lifecycles, applying laws written before frontier AI with clarity and fresh thinking
Translate complex technical architecture into clear, actionable risk advice
Deliver integrated guidance on safety, security and data protection
Lead privacy on Anthropic's most strategic deals and partnerships, opening creative paths for novel technologies
Negotiate privacy and data protection terms in enterprise, platform and partnership commercial agreements, including DPAs, BAAs, data sharing agreements and cross-border transfer terms
Lead privacy diligence on mergers and acquisitions, and support corporate governance
Collaborate closely with counsel and privacy colleagues on joint analysis, bringing competing views together into a single, well-reasoned position
Minimum qualifications
Hold a law degree (JD, LLB, or equivalent) and meet the local licensing requirements to work as in-house counsel where you'll be based
Hands-on experience advising a technology business (in-house or at a leading law firm) on privacy and data protection
Experience drafting and negotiating data protection agreements, such as DPAs, BAAs and data sharing agreements
Working knowledge of key global privacy laws, including those of the Americas, EEA and APAC
Ability to read and engage with technical documentation, such as system designs and architecture diagrams
Excellent legal writing, including clear, concise advice
Preferred qualifications
At least 8 years of privacy and data protection legal experience
Deep familiarity with software and model development and architecture
Proven ability to build privacy processes, playbooks and templates that scale with a fast-growing business
Direct engagement with privacy regulators, including providing briefings and responding to inquiries
Privacy and data protection work on mergers, acquisitions, and similar transactions
Background advising safety, security or trust and safety teams, including on privacy incidents and notification decisions
Role-specific policy: For this role, we expect all staff to be able to work from our San Francisco or New York office at least 3 days a week, though we encourage you to apply even if you might need some flexibility for an interim period of time.
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:
$265,000
—
$335,000 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
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's Legal team is looking for an experienced litigator to join our Litigation and Regulatory team. You'll manage a broad docket of litigation files and pre-litigation disputes with a high degree of autonomy, advise the business on litigation risk, and help build the systems and processes that let a growing litigation function operate well at scale.
The matters you'll handle span intellectual property (particularly copyright), class actions, commercial disputes, and could include securities and shareholder disputes, in both first-party and third-party matters, in the U.S. and abroad. You'll partner closely with colleagues across Legal and teams throughout the company to resolve matters thoughtfully and with minimal disruption to the business. You may also support regulatory investigations and inquiries as needed.
Key responsibilities
Manage a broad range of litigation matters that could include intellectual property (particularly copyright) matters, class actions, regulatory and commercial disputes, and securities cases
Direct outside counsel across all stages of litigation, from pre-suit response through discovery, dispositive briefing, trial or resolution and appeal, with a focus on strategic decision-making and filing excellent legal briefs
Manage small disputes and escalations to limit business friction and minimize risk
Advise company leadership and cross-functional partners on litigation risk, and develop appropriate strategic litigation plans, including matter-resolution proposals
Design and implement processes, policies, and tools that help the litigation and regulatory team handle matters efficiently and at scale, such as matter intake, outside counsel budgeting, contingency reporting, and pre-litigation escalation run books
Work cross-functionally to gather information efficiently and evaluate risk
Support responses to regulatory investigations and inquiries as needed
Stay up to date on relevant laws, litigation trends, and AI-related case law, and share developments with key stakeholders
Mentor and develop team members through hands-on work on active matters
Minimum qualifications
Hold a law degree (JD, LLB, or equivalent) and meet the local licensing requirements to work as in-house counsel where you'll be based
Have litigated some combination of copyright, class action, securities, and regulatory matters
Have broad experience handling complex civil litigation, with deep knowledge of litigation practice and procedure, discovery, and federal and/or CA state court rules
Have managed litigation matters with significant independence, including setting case strategy, managing discovery, writing and improving legal briefs, and directing outside counsel
Write and communicate clearly, with the ability to explain litigation risk and strategy, particularly for non-legal audiences at all levels of seniority
Exhibit poise and judgment under pressure while balancing legal risk with business priorities
Preferred qualifications
At least 12 years of litigation experience with a combination of experience at a global-focused law firm and in-house
Experience representing technology companies, particularly companies working in emerging technologies
Experience building systems, processes, or tools for an in-house legal team, such as matter management, outside counsel budgeting, or litigation reporting
Experience managing regulatory responses or investigations, including both first-party and third-party responses
Creativity and openness to novel solutions when advancing business priorities while addressing legal risk
Ability to think and work quickly, have a flexible risk tolerance, and a good sense of humor
Low ego and a real willingness to roll up your sleeves to solve problems whether mundane or complex
A thoughtful and empathetic colleague who works well with legal colleagues, outside counsel, and business partners
A genuine interest in the development of AI that is both innovative and trustworthy, including the opportunities it creates and the risks and limitations that must be addressed
Role-specific policy: For this role, we expect all staff to be able to work from our San Francisco office at least 3 days a week, though we encourage you to apply even if you might need some flexibility for an interim period of time.
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:
$385,000
—
$460,000 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.
ОфисГеография найма не уточнена
УдалённоRemote - United States; We believe the best ideas come from diverse teams, and we actively welcome applicants from all backgrounds
Не хотите искать каждый день?
Настройте подбор один раз, и подходящие вакансии будут сами приходить в Telegram.
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Seoul, South Korea; You will need to coordinate internally across multiple teams and stakeholders, including global teams across time zones, to drive customer success
