Location: London, UK
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 looking for product engineers to build internal products. This role sits at the intersection of engineering, product, and design—you'll own outcomes, not just tasks. You'll work directly with users to understand their needs, identify the patterns behind their requests, and build the right abstractions that unlock capabilities for everyone.
What you'll do:
Rapidly design, prototype, and ship full-stack features across backend, frontend, and infrastructure
Consult with users and stakeholders to understand workflows and identify the highest-impact opportunities
Spot patterns across user requests and reduce them into primitives, platforms, or middleware that support a variety of use cases—not just one-off features
Build tools that maximize autonomy and creative freedom for less-technical users
Make product and prioritization decisions, not just execute on specs handed to you
Iterate quickly based on feedback to continuously improve the user experience
Pick up new tools, frameworks, and domains as the product evolves
You may be a good fit if you:
Have 6+ years of experience building production software, ideally full-stack
Can operate as a team of one when needed—you're independently capable of taking a product from idea to shipped, even if you won't always work that way
Think in systems and abstractions—you see the platform behind the feature request
Care about empowering users, not just building for them
Own outcomes, not just code—you care whether the thing you built actually solved the problem
Are comfortable making decisions with incomplete information and operating with ambiguity
Hold yourself to a high bar without needing external pressure
Strong candidates will have:
Proficiency across the stack (we use Python, TypeScript, React)
Experience building platforms, primitives, or internal tools that others build on top of
A track record of shipping products independently—not just contributing to larger efforts
Deadline to apply: None. Applications will be received on a rolling basis.
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:
£255,000
—
£325,000 GBP
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: New York City, NY | Seattle, WA; 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 looking for product engineers to build internal products. This role sits at the intersection of engineering, product, and design—you'll own outcomes, not just tasks. You'll work directly with users to understand their needs, identify the patterns behind their requests, and build the right abstractions that unlock capabilities for everyone.
What you'll do:
Rapidly design, prototype, and ship full-stack features across backend, frontend, and infrastructure
Consult with users and stakeholders to understand workflows and identify the highest-impact opportunities
Spot patterns across user requests and reduce them into primitives, platforms, or middleware that support a variety of use cases—not just one-off features
Build tools that maximize autonomy and creative freedom for less-technical users
Make product and prioritization decisions, not just execute on specs handed to you
Iterate quickly based on feedback to continuously improve the user experience
Pick up new tools, frameworks, and domains as the product evolves
You may be a good fit if you:
Have 6+ years of experience building production software, ideally full-stack
Can operate as a team of one when needed—you're independently capable of taking a product from idea to shipped, even if you won't always work that way
Think in systems and abstractions—you see the platform behind the feature request
Care about empowering users, not just building for them
Own outcomes, not just code—you care whether the thing you built actually solved the problem
Are comfortable making decisions with incomplete information and operating with ambiguity
Hold yourself to a high bar without needing external pressure
Strong candidates will have:
Proficiency across the stack (we use Python, TypeScript, React)
Experience building platforms, primitives, or internal tools that others build on top of
A track record of shipping products independently—not just contributing to larger efforts
Deadline to apply: None. Applications will be received on a rolling basis.
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
—
$405,000 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
We are seeking an experienced IP Counsel to help protect some of the world's fastest-growing technology brands. In this role, you will share ownership of Anthropic's global trademarks and domains practice, spanning clearance, prosecution, portfolio management, and enforcement, partnering closely with other members of our IP team, outside counsel, and business teams.
Anthropic's brands are among its most valuable assets, and you will help protect them at the pace the AI industry moves. Our trademark practice spans a rapidly growing global portfolio, a high-volume enforcement program, and naming decisions for some of the most visible products in technology. This is a hands-on role for an attorney with deep trademark expertise who wants their work to matter and who is aligned with Anthropic's mission of responsible AI development.
Key responsibilities
Run trademark clearance for new model, product, and feature names, delivering clear, risk-rated recommendations that let teams move quickly and confidently
Manage global trademark prosecution and portfolio strategy in coordination with outside counsel, including filing strategy, office actions, and portfolio maintenance across many jurisdictions
Lead trademark and domain enforcement end to end: assess potential infringements, select the right enforcement mechanism, work with outside counsel as necessary, and drive matters to resolution
Help oversee our online brand protection program, working with our external vendor and IP Legal Specialist to action infringements and impersonations at scale
Manage domain portfolio strategy, including acquisitions, disputes, and recovery
Respond to inbound trademark demands and support trademark-related litigation
Counsel marketing, product, and go-to-market teams on brand usage and naming, translating IP risk into practical guidance
Build the playbooks and processes that let a lean team run a world-class global brand protection practice
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 trademark and domain practice experience spanning clearance, prosecution, portfolio management, and enforcement
Have current, hands-on experience: running clearances, shape filing strategies, and make enforcement calls yourself
Have managed global trademark and domain portfolios, including UDRP proceedings and online enforcement
Exercise sound judgment about which matters to pursue, and can explain that reasoning clearly to lawyers and non-lawyers alike
Work collaboratively with legal colleagues, outside counsel, and business partners, and are motivated by the work itself
Preferred qualifications
10+ years of trademark and domain practice
Prior in-house experience at a technology company, with a track record of partnering with business teams to enable speed in a risk-adjusted way
Experience protecting brands in AI or other rapidly evolving technology fields
Experience building or scaling high-volume enforcement and takedown programs
Experience navigating brand disputes with commercial, community, or publicity dimensions
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
As a Startups Account Executive at Anthropic, you’ll drive adoption of safe, frontier AI by securing strategic deals with some of the fastest growing startups in the world. You’ll leverage your consultative sales expertise to propel revenue growth while becoming a trusted partner to customers, helping them embed and deploy AI while uncovering its full range of capabilities. In collaboration with GTM, product, and marketing teams, you’ll continuously refine our value proposition, sales methodology, and market positioning to ensure differentiated value across the landscape.
The ideal candidate will have a passion for developing new market segments, pinpointing high-potential opportunities, and executing strategies to capture them. By driving deployment of Anthropic's emerging products, you will help enterprises obtain new capabilities while also advancing the ethical development of AI.
Responsibilities:
Win new business and drive revenue for Anthropic. Find your way to the right people at prospective customers, educate them about LLMs, and help them succeed with Anthropic. You’ll own the full sales cycle, from first outbound to launch
Design and execute innovative sales strategies to meet and exceed revenue quotas. Analyze market landscapes, trends, and dynamics to translate high-level plans into targeted sales activities, partnerships, and campaigns
Spearhead market expansion by pinpointing new customer segments and use cases. Collaborate cross-functionally to differentiate our offerings and sustain a competitive edge
Inform product roadmaps and features by gathering customer feedback and conveying market needs. Provide insights that strengthen our value proposition and enhance the customer experience
Continuously refine the sales methodology by incorporating learnings into playbooks, templates, and best practices. Identify process improvements that optimize sales productivity and consistency
You may be a good fit if you have:
4+ years of experience prospecting and closing startup leads, driving adoption of emerging technologies with a consultative, solutions-oriented sales approach
Familiarity working within complex sales cycles, selling to technical stakeholders, and securing strategic deals by understanding multifaceted technical requirements and crafting tailored solutions
Success as a strategic business advisor, deeply understanding the needs of startup founders and creating innovative solutions that align with their vision and help them succeed
Exposure to negotiating complex, customized commercial agreements with multiple stakeholders
Demonstrated history of exceeding quota by effectively qualifying and advancing opportunities in a fast-paced work environment
Excellent communication skills and the ability to present confidently and build connections across all customer levels, from ICs to C-level executives
A knack for bringing order to chaos and an enthusiastic “roll up your sleeves'' mentality. You are a true team player
Analytical approach to understanding customer needs combined with creative follow-up to advance opportunities
Passion for emerging technologies like AI, with interest in ensuring they are developed safely and responsibly
A strategic, analytical approach to assessing markets combined with creative, tactical execution to capture opportunities
A passion for and/or experience with advanced AI systems. You feel strongly about ensuring frontier AI systems are developed safely
Deadline to apply:
None. Applications will be reviewed on a rolling basis.
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:
$222,800
—
$290,000 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: Remote, Canada; Remote, United States
GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster.
The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems.
Co-create the future with us
as we build technology that transforms how the world develops software.
*
Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab.
An overview of this role
As a Staff Corporate Security Engineer, you'll help secure the systems GitLab team members rely on every day across a fully remote environment. This role sits within Corporate Security Engineering and focuses on building secure-by-default controls for endpoints and the SaaS platforms that support them, with a strong emphasis on macOS. You'll own meaningful technical decisions around endpoint hardening, automation, and detection, and you'll help turn security requirements into scalable engineering systems that are measurable, auditable, and designed to reduce friction for end users.
This is a strong fit if you're motivated by solving security problems with code. You will work across endpoint management, identity, and security operations to improve how GitLab manages macOS, iOS, Windows, and Linux devices through Infrastructure-as-Code, Terraform, and GitOps workflows. In your first year, you'll be expected to strengthen endpoint security architecture, expand automation, and improve the reliability and auditability of how controls are deployed and maintained.
What you’ll do
Lead the security architecture of GitLab's endpoint fleet and related infrastructure, with a primary focus on macOS.
Design and support automation for secure endpoint deployment, configuration, and lifecycle management using code-based workflows.
Manage endpoint and SaaS security configuration through Terraform, version control, merge requests, continuous integration pipelines, and automated rollouts.
Define and enforce security baselines across macOS, iOS, Windows, and Linux endpoints.
Develop patching and software distribution approaches that align with security, compliance, and operational requirements.
Partner with Information Technology, Security Operations, and Detection and Response teams to improve endpoint telemetry, detections, and response models.
Drive process improvements that reduce manual work and lower risk by favoring automation, policy-driven controls, and auditable change management.
Mentor engineers across Corporate Security and Information Technology, and serve as a senior escalation point for complex endpoint security issues.
What you’ll bring
Experience designing and delivering endpoint, systems, or corporate security solutions in environments that require scalable, durable controls.
Deep knowledge of endpoint management platforms such as Jamf Pro or FleetDM, especially for architecting and securing macOS environments.
Strong hands-on ability with Terraform and Infrastructure-as-Code practices, including module design, state management, and pipeline-based deployment.
Experience working with GitOps workflows where changes are managed through Git repositories, merge requests, code review, and automated pipelines.
Strong proficiency in scripting or programming for automation and security tooling, such as bash, Python, PowerShell, or Go.
Familiarity with cloud identity providers and directories, including platforms such as Okta, Google Workspace, LDAP.
Ability to communicate clearly, collaborate across distributed teams, and work independently in an all-remote environment.
Openness to bringing transferable experience from adjacent security, systems, or platform engineering backgrounds, along with a practical and security-focused approach to problem solving.
About the team
The Corporate Security Engineering team secures the internal environment GitLab team members use every day, including endpoints, identity systems, SaaS applications, and platforms that store sensitive internal data. It's a small, high-leverage team that treats security work as engineering work: building with code, operating through Git, and using reviewable, testable, and auditable workflows by default. The team partners closely with Information Technology, Security Operations, and Engineering across regions, collaborating asynchronously to build controls that scale across GitLab's all-remote workforce while reducing friction for end users.
The base salary range for this role’s listed level is currently for residents of the United States only. This range is intended to reflect the role's base salary rate in locations throughout the US. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location. The base salary range does not include any bonuses, equity, or benefits. See more information on our
benefits
and
equity
. Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary.
United States Salary Range
$168,000
—
$238,000 USD
How GitLab Supports Full-Time Employees
Benefits to support your health, finances, and well-being
Flexible Paid Time Off
Team Member Resource Groups
Equity Compensation & Employee Stock Purchase Plan
Growth and Development Fund
Parental Leave
Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from
underrepresented groups
are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application.
Country Hiring Guidelines:
GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process.
Privacy Policy:
Please review our
Recruitment Privacy Policy.
Your privacy is important to us.
GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also
GitLab’s EEO Policy
and
EEO is the Law
. If you have a disability or special need that requires
accommodation
, please let us know during the
recruiting process
.
Location: United States, San Mateo, CA
Why Sony Interactive Entertainment?
Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity.
Director, Product Management - Data Science
San Mateo, CA
At Sony Interactive Entertainment, PlayStation creates unforgettable gaming experiences for millions of players around the world. As a global leader in interactive entertainment, we operate at massive scale across a complex digital ecosystem spanning hardware, software, services, commerce, marketing, and player engagement.
About the Role
We are seeking a
Director of Data Science Product Management
to lead the strategy, prioritization, and execution of data science to drive better decision-making and player experiences across PlayStation.
This role is responsible for portfolio of products across the data science lifecycle - identifying high-value analytical opportunities, shaping predictive and decision products, and ensuring they deliver measurable business outcomes through adoption, monitoring and continuous improvement. The role will lead a team of Data Science Product Managers responsible for applying data science to solve business problems, including capabilities across customer lifetime value, player lifecycle intelligence, forecasting, simulations, audience intelligence and decision automation.
The Director will help ensure that SIE’s data science investments are focused on the highest-impact opportunities, built with strong product discipline, and adopted in the workflows where they can create measurable business value.
Key Responsibilities
Translate business priorities into structured problem statements, investment cases, product strategies, and measurable outcomes, ensuring data science work is managed as a scalable product portfolio rather than one-off analytical requests.
Drive product strategy and lifecycle ownership for player value and decision intelligence capabilities, such as CLV, engagement and forecasting, ensuring high quality products are advanced from discovery through productionization, adoption, monitoring, iteration, and long-term value realization.
Establish clear criteria for when analytical work should remain exploratory, become a recurring decision process, or graduate into a production-grade product.
Define success metrics and quality standards for data science products, including business impact, adoption, reliability, interpretability, model quality, operational sustainability, and decision quality.
Partner with Data Science and Analytics leaders to ensure rigor across experimentation, causal inference, forecasting, incrementality measurement, model evaluation, and value analysis, while promoting these approaches as core decision-making tools.
Influence senior stakeholders across functions to align strategy, clarify priorities, manage tradeoffs, and drive adoption of data science products.
Guide Product Managers across the product lifecycle while directly leading or sponsoring the organization's highest-impact and most ambiguous product initiatives.
Create a strong Data Science product culture centered on hypothesis-driven discovery, evidence-based prioritization, measurable business impact and close partnership with cross-functional partners.
Qualifications
Bachelor’s degree in Business, Data Science, Computer Science, Statistics, Economics, Engineering, or a related field.
15+ years of relevant experience, including 8+ years in digital product management, data product management, AI/ML product management, analytics product management, or related roles.
6+ years of people management experience, including experience leading Product Managers or senior product-oriented analytics leaders.
Proven experience leading complex, cross-functional portfolios involving Data Science, ML Engineering, Analytics, Data Engineering, and business stakeholders.
Strong understanding of data science and machine learning workflows, including experimentation, predictive modeling, forecasting, segmentation, recommender systems, lifecycle modeling, productionization, and monitoring.
Experience with products or capabilities related to CLV/LTV, personalization, churn, propensity modeling, forecasting, audience targeting, marketing optimization, commerce, or digital engagement.
Familiarity with modern data and ML ecosystems such as SQL, Python, Snowflake, Spark, feature stores, MLOps tools, model monitoring, APIs, and analytics platforms.
Demonstrated ability to translate ambiguous business needs into product strategies, roadmaps, priorities, and measurable outcomes.
Strong executive communication skills, including the ability to translate technical concepts into business impact.
Experience leading, mentoring, and developing high-performing product teams.
Preferred Skills
Experience in gaming, digital commerce, subscription, marketplace, streaming, or consumer technology businesses.
Deep experience with customer intelligence, player lifecycle analytics, personalization, experimentation, audience intelligence, or growth optimization.
Experience defining success metrics and quality standards for data science products, including adoption, reliability, latency, interpretability, fairness, model drift, and business impact.
Experience building product management capabilities, teams, or operating models from the ground up.
Demonstrated ability to use AI-enabled tools, including generative or agentic AI, to improve product workflows, accelerate insight generation, and enhance decision-making.
At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location.
Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location.
In addition, this role
is eligible
for SIE’s top-tier benefits package that includes medical, dental, vision, matching 401(k), paid time off, wellness program and coveted employee discounts for Sony products.
This role also may be eligible for a bonus package.
Click
here
to learn more.
The estimated base pay range for this role is listed below.
$273,000
—
$409,600 USD
Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks.
Please refer to our
Candidate Privacy Notice
for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights.
Equal Opportunity Statement:
Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category.
We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond.
Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.
Location: New York, NY
What you’ll be part of
Garner is on a mission to transform the U.S. healthcare system — and we’re the only proven player doing exactly that. We partner with employers to redesign how healthcare works: applying 550+ proprietary clinical metrics across 80+ specialties to a dataset of 320M+ patients to identify the best-performing doctors, then using compelling incentives to steer members to the care that helps them get healthier, faster.
The result is a rare “win win” — better care and lower costs for both members and employers. In just five years, our work has helped over 2.5 million people access higher-quality care and saved $1B in healthcare costs. We recently raised our Series E and have doubled five years running. If you've ever wanted your work to solve a problem that touches every person in this country, this is the opportunity to do exactly that. You'd be joining a team fundamentally reimagining healthcare in the U.S. — and using AI to scale that impact further and faster than anyone else can.
About the role:
We are seeking an exceptional Engineering Manager to join our Business Productivity team. This role will report to the VP of Platform Engineering. You will lead a team responsible for improving the efficiency of our internal lines of business by embedding AI into their core workflows.
Where you will work:
This role will be based in our New York City office (in the Financial District). You must be willing to work in the office 3 days per week on Tuesday, Wednesday and Thursday.
What you will do:
Lead, mentor, and grow a high-performing engineering team through coaching, authentic feedback, and hiring
Partner closely with internal business units to identify high-leverage opportunities and ship features end-to-end that deliver measurable employee productivity gains
Drive the delivery of AI-native solutions
Own core services and ensure secure, high-quality, and reliable experiences in a fast-moving environment
Balance quality with delivery speed, identify bottlenecks, and clearly communicate tradeoffs across engineering, product, and business stakeholders
Set technical direction across the team’s roadmap and its three bets: AI adoption, employee efficiency, and foundational improvements
The ideal candidate has:
6+ years of hands-on engineering experience and 2+ years managing engineering teams
Experience building web applications and APIs on cloud infrastructure (AWS or similar)
Strong sense of ownership and proactive problem-solving mindset
The ability to partner with non-technical business stakeholders and translate their workflows into effective technical solutions
Experience thriving in a startup or other fast-moving, high-accountability environment
A desire to be a part of a high-performing, mission-driven team that operates with intense urgency, a strong sense of individual accountability, and a commitment to authentic feedback
Technologies we use:
Python, TypeScript, React, NodeJS, Kubernetes, Istio, Postgres, ElasticSearch, NATS, AWS, Terraform
This is a unique opportunity to join a fast-growing company in a transformative role, helping shape the future of healthcare.
What you'll get here:
You’ll work on problems that matter, at a company working to change healthcare at scale. You’ll work at the intersection of AI and systemic healthcare reform, where the problems we solve are as interesting and compelling as the mission.
At Garner, you’ll take on real, ambitious problems with real ownership and autonomy, alongside exceptional, principles-based people who genuinely want you to win. It’s demanding by design. You’ll be challenged to stretch beyond what you thought possible and receive consistent coaching to help you grow and do the best work of your career. This isn't the right fit for everyone, and that's intentional. The people here are driven by what's at stake for real people, and that's what gives our intensity its purpose.
Compensation Transparency:
The target base salary range for this position is $310,000 – $385,000. Individual compensation for this role will depend on various factors, including qualifications, skills, and applicable laws. In addition to base compensation, this role is eligible to participate in our equity incentive and competitive benefits plans, including but not limited to: flexible PTO, Medical/Dental/Vision plan options, 401(k) with company match, flexible spending accounts, Teladoc Health and more.
Fraud and Security Notice:
Please be aware of recent job scam attempts. Our recruiters use
getgarner.com
and
garnerhealth.com
email domains exclusively. If you have been contacted by someone claiming to be a Garner recruiter or a hiring manager from a different domain about a potential job, please report it to law enforcement
here
and to
candidateprotection@garnerhealth.com
.
Equal Employment Opportunity:
Garner Health is proud to be an Equal Employment Opportunity employer and values diversity in the workplace. 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.
Garner Health is committed to providing accommodations for qualified individuals with disabilities in our recruiting process. If you need assistance or an accommodation due to a disability, you may contact us at
talent@garnerhealth.com
.
Location: New York City, New York
What you’ll be part of
Garner is on a mission to transform the U.S. healthcare system — and we’re the only proven player doing exactly that. We partner with employers to redesign how healthcare works: applying 550+ proprietary clinical metrics across 80+ specialties to a dataset of 320M+ patients to identify the best-performing doctors, then using compelling incentives to steer members to the care that helps them get healthier, faster.
The result is a rare “win win” — better care and lower costs for both members and employers. In just five years, our work has helped over 2.5 million people access higher-quality care and saved $1B in healthcare costs. We recently raised our Series E and have doubled five years running. If you've ever wanted your work to solve a problem that touches every person in this country, this is the opportunity to do exactly that. You'd be joining a team fundamentally reimagining healthcare in the U.S. — and using AI to scale that impact further and faster than anyone else can.
About the role:
We are seeking an exceptional Engineering Manager to lead teams working on our core product. This role will report to the Director of Engineering. You will collaborate closely with talented product, data, and design teams to build data ingestion systems and new product experiences which may include AI enhancements.
Where you will work:
This role will be based in our New York City office (in the Financial District). You must be willing to work in the office 3 days per week on Tuesday, Wednesday and Thursday.
What you will do:
Provide technical oversight and drive new features with a focus on Garner’s strategic mission
Build a high-performance team by mentoring, providing feedback, and hiring
Continuously strive for quality while maintaining speed of delivery
Collaborate across disciplines by identifying bottlenecks and risks, proposing mitigation, and communicating tradeoffs
Protect our users’ privacy and security through best practices
The ideal candidate has:
6+ years of hands-on engineering experience, with a track record of translating ambiguous business requirements into scalable solutions and new product features
2+ years of managing engineering teams, with a proven ability to inspire, motivate, mentor, and retain top engineering talent
Familiarity with web application development, API design and cloud infrastructure like AWS
Strong sense of ownership and proactive problem-solving mindset
A willingness to “roll up your sleeves” and do whatever is necessary to ensure company success
Experience working in a rapidly evolving startup environment
A desire to be a part of a high-performing, mission-driven team that operates with intense urgency, a strong sense of individual accountability, and a commitment to authentic feedback.
Technologies we use:
Python, TypeScript, React, NodeJS, Kubernetes, Istio, Postgres, ElasticSearch, NATS, AWS, Terraform
This is a unique opportunity to join a fast-growing company in a transformative role, helping shape the future of healthcare.
What you'll get here:
You’ll work on problems that matter, at a company working to change healthcare at scale. You’ll work at the intersection of AI and systemic healthcare reform, where the problems we solve are as interesting and compelling as the mission.
At Garner, you’ll take on real, ambitious problems with real ownership and autonomy, alongside exceptional, principles-based people who genuinely want you to win. It’s demanding by design. You’ll be challenged to stretch beyond what you thought possible and receive consistent coaching to help you grow and do the best work of your career. This isn't the right fit for everyone, and that's intentional. The people here are driven by what's at stake for real people, and that's what gives our intensity its purpose.
Compensation Transparency:
The target salary range for this position is $310,000 - $385,000. Individual compensation for this role will depend on various factors, including qualifications, skills, and applicable laws. In addition to base compensation, this role is eligible to participate in our equity incentive and competitive benefits plans, including but not limited to: flexible PTO, Medical/Dental/Vision plan options, 401(k), Teladoc Health and more.
Fraud and Security Notice:
Please be aware of recent job scam attempts. Our recruiters use
getgarner.com
and
garnerhealth.com
email domains exclusively. If you have been contacted by someone claiming to be a Garner recruiter or a hiring manager from a different domain about a potential job, please report it to law enforcement
here
and to
candidateprotection@garnerhealth.com
.
Equal Employment Opportunity:
Garner Health is proud to be an Equal Employment Opportunity employer and values diversity in the workplace. 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.
Garner Health is committed to providing accommodations for qualified individuals with disabilities in our recruiting process. If you need assistance or an accommodation due to a disability, you may contact us at
talent@garnerhealth.com
.
Location: Jeddah, Saudi Arabia
Are you a Physical Therapist or Strength and Conditioning coach thinking about a career change? Are you passionate about how technology can help progress your profession? If you have previous experience as a Physical Therapist or Strength and Conditioning Coach, a role as a Business Development Manager at VALD could be the change you need!
About VALD
VALD is the world leader in technology for the allied health industry, providing innovative human-measurement technology to 10,000 clients in over 150 countries.
If you have a favorite team in the NBA, EPL, or NFL, there's a good chance they use VALD Technologies.
Since its humble beginnings in 2015 in Brisbane, Australia, VALD has grown to a team of over 300 team members in over 30 countries, with five offices across four continents.
Driven by a multidisciplinary team of researchers, clinicians, sports scientists, designers, developers and engineers, VALD's suite of systems offer unparalleled insight into human movement, performance, injury risk and rehabilitation.
About the VALD Business Development Team
The Business Development team are on the front line for VALD. As part of a truly global team, you will attend conferences and perform product demonstrations (both in-person and teleconferences) in clinical, performance, and tactical settings. You'll set up and oversee product trials, nurture new leads and look for new opportunities for VALD.
With an education-based approach to sales, as a Business Development Manager, you must have an intimate knowledge of VALD's systems. You'll leverage your industry expertise and product knowledge to demonstrate how our clients can get the most out of our systems to provide value to their business.
Is this you?
Prior experience working in a clinical or allied health setting, such as a physiotherapist/physical therapist or similar role.
Excellent communication and interpersonal skills via various mediums, including team calls, in-person interaction and sales pipeline reporting.
Be comfortable with targeting new clients.
Willing and able to travel for client meetings and represent VALD at industry conferences and events.
Confidence to persuasively demonstrate VALD systems and communicate product and industry knowledge to clients.
A self-starter who holds themselves accountable for reaching sales targets.
A desire to work with and nurture existing distributor relationships.
Prior experience using CRMs and the Microsoft Office 365 suite of products.
You reside in Jeddah.
You speak Arabic and English (please submit your application in English).
It’s not expected that any single candidate would check every box here. If you meet just some of the requirements, but not all, we encourage you to submit your application!
We strongly encourage you to apply if you’re at all interested. Show us how your experience could improve our team and widen our perspective. Our selection process includes assessing the requirements of the role vs the individual, and how well we think they will work in the VALD team.
Why VALD?
An opportunity to travel the world utilizing your health and performance experience is just the beginning when you join VALD. Recently named in LinkedIn's Top 25 Startups for 2022 in Australia, VALD's best asset is not our technology but our people and culture.
We have a range of benefits we offer to our team, such as:
Industry-leading compensation with healthy performance-based incentives.
The opportunity to work in a company that is redefining allied healthcare.
Learn from a range of high-performing individuals and teams across various disciplines.
Be part of a down-to-earth, inclusive and vibrant team.
Regular travel opportunities to get the entire VALD team together for your ongoing development.
The latest equipment and remote setup to perform at your best.
VALD Diversity & Inclusion Commitment
VALD’s best asset is not our technology but our people and culture. A culture of inclusion and diversity is critical to our business. We know diverse teams perform better. It's not a separate initiative – we aim to embed inclusion and diversity in everything we do. We are committed to fostering an inclusive work environment and embracing diversity, including gender, nationality, disability, age, marital/parental status, ethnicity, gender identity, socioeconomic background and sexual orientation. We welcome applications from people from all backgrounds.
Conditions of Employment
Successful applicants will be subject to background checks (including identity and criminal record checks). It will be a condition of employment that the background checks return acceptable results.
Location: United States
What the Role Is
We are looking for an E-commerce Finance Manager to join our team. As Finance Manager for our E-commerce business, you'll own financial visibility, efficiency, and performance across the Babylist Shop — topline through gross margin. You'll partner with Merchandising, Planning, Supply Chain, Accounting, and Data, and work directly with the Director of Strategic Finance to turn analysis into decisions on pricing, promotions, and investment. This is a hands-on, high-ownership role on a lean team: you'll set the approach, build the models and processes, and be front and center with company executives. If you've owned a full P&L picture and take pride in delivering clean, decision-ready work, you'll thrive here.
Who You Are
Deep ecommerce finance fluency
— you know the metrics and mechanics cold (AOV, gross-to-net, unit economics, and gross margin vs. contribution margin), ideally from a high-volume ecommerce or consumer-tech business
Advanced financial modeling skills
— expert in Excel / Google Sheets, scenario analysis, and managing large datasets to a clean, reliable answer
Strong independent ownership and problem-solving
— you can take an ambiguous problem, define the approach, and drive to a clear answer without day-to-day direction
Executive- and board-ready communication
— you present financial insights clearly and directly to senior leaders, connecting the numbers to what's happening in the business, including strong data visualization
A high bar for accuracy and quality control
— you build checks into your models and decks, reconcile outputs, and catch errors before they reach stakeholders
You naturally reach for AI in your work
— at Babylist, every team uses AI daily. You're already using it to move faster and improve your output, and you stay curious about what's coming next.
Prior experience owning pricing and promotional decisions, with a focus on ROI and financial impact
You have hands-on experience using AI tools (Claude, ChatGPT, Copilot, or similar) in finance workflows, with clear examples of automating reporting, accelerating analysis, or improving how you model
Experience with financial planning systems such as NetSuite Planning & Budgeting, Oracle Hyperion, or similar
5–8 years of experience, ideally in an FP&A role at a high-growth consumer technology or ecommerce company, with 1–2 years at the Manager level preferred or equivalent ownership and scope in a lean, cross-functional finance environment
A bachelor's degree in Finance, Economics, Accounting, or a related field; MBA a plus
How You Will Make An Impact
Proactively surface risks, opportunities, and value-added recommendations from both an operational and strategic viewpoint
Own the monthly financial business review for the Ecommerce business, delivering insights on sales, margins, and trends
Own Ecommerce forecasting, budgeting, and variance analysis in partnership with Merchandising, Planning, and Accounting
Lead pricing and promotional analysis, including ROI evaluation and optimization
Analyze Co-Op, DDA, and rebate programs to assess financial impact and track accruals
Deliver SKU- and department-level reporting from revenue through margin
Ensure the data integrity of key ecommerce metrics in partnership with Data and Engineering
Build financial reporting that leadership relies on — dynamic dashboards, KPI and operational reporting, business analyses, and clear executive-level explanations of variances
Take ownership of establishing and managing new financial processes and reporting frameworks to close gaps and improve operational transparency
Leverage financial systems to give business leaders visibility to track against financial targets
Contribute to monthly and quarterly board presentations, the annual planning process, and long-range planning (5-Year Plan)
Identify and implement AI-enabled improvements across ecommerce FP&A workflows, reducing manual effort and increasing speed and consistency
Why This Role
You own ecommerce finance — topline through margin — for one of the largest parts of the business, not a slice of it
Your analysis reaches executives and the board and directly shapes decisions on pricing, promotions, and investment
High autonomy on a lean team: you define the approach in ambiguity rather than inheriting a fully built playbook
Babylist is pushing the frontier of AI, and you'll have a real mandate to reshape how FP&A works, not just experiment at the edges
About Compensation
We use a market-based approach to compensation. The starting salary range for this role is:
$128,413 to $171,229 + target bonus and competitive equity
Your starting salary will be based on your location, experience, and qualifications, with increases over time tied to performance, role growth, and internal pay equity.
Who We Are
Babylist is the leading platform for expecting and new families. More than 10 million people shop with Babylist every year, making it the go-to destination for seamless purchasing, guidance, and expert recommendations. As a modern, AI-forward tech company, Babylist has expanded from a universal registry into a full ecosystem — the Babylist Shop, Babylist Health, Babylist Money, NYC and LA showrooms, branded content, and more — generating $750M in revenue in 2025. Building the generational brand in baby, Babylist is reshaping the $235B kids and baby market and helping parents feel confident, connected, and cared for at every step.
Our Ways of Working
Babylist is remote-first with team members across the U.S. and Canada who move fast, think smart, and use AI as part of how they work every day — not as an experiment, as an expectation. We come together twice a year to build the relationships behind the work, and we hire people who are genuinely excited about what's possible and prove it through how they show up.
Why You Will Love Working At Babylist
Our Culture
We work with focus and intention, then step away to recharge
We believe in exceptional management, and we invest in the tools and the time to connect with colleagues
We build products that positively impact millions of people's lives
AI is part of how we work, not a side experiment. You'll have leading tools like Claude and ChatGPT from day one, with no waiting on access, so the busywork gets handled and your judgment goes where it counts
Growth & Development
Competitive pay and meaningful opportunities for career advancement
We believe technology and data can solve hard problems
We're committed to career progression and performance-based advancement
Benefits
Company-paid medical, dental, and vision insurance
Retirement savings plan with company matching and flexible spending accounts
Generous paid parental leave and PTO
Winter Wonder Week: the whole company takes a paid week off at the end of the year, whether or not you celebrate anything, so everyone's out at once and comes back refreshed
Remote work stipend to set up your office
Perks for physical, mental, and emotional health, parenting, childcare, and financial planning
Important Notices
Recorded Interviews.
Babylist uses an interview recording tool to record and transcribe interviews for evaluation purposes in accordance with applicable privacy laws. By participating in an interview, you consent to this recording and transcription.
Interview Integrity.
AI is part of how we work at Babylist. We expect you to use it too. Your application and interviews should still reflect you and your own thinking. We'll tell you when AI is encouraged. Misrepresentation at any stage may result in removal from consideration for this and future roles.
How We Review Applications
We use AI throughout our hiring process to help review, screen, and assess applications. These tools support our team's review; they do not replace it, and every hiring decision is made by a person.
Connections at Babylist.
If you have a family member or close personal relationship with a current Babylist employee, please let your recruiter know. This helps us keep our process fair and transparent for everyone.
Protect Yourself from Scams.
All official outreach comes from the Babylist Talent Team via @babylist.com email addresses only. We will never ask for payment or personal financial information. If you receive outreach via WhatsApp, Telegram, or a non-Babylist email, it's not us. Verify open roles at babylist.com/careers.
Location: London, UK
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.
Data Center Transaction Principal, Europe
About the role
As a Transaction Principal for Europe at Anthropic, you'll drive the commercial sourcing and transaction execution process for our European data center capacity deals. You'll lead RFP processes, negotiate term sheets, and serve as the central leader ensuring seamless stakeholder alignment from initial sourcing through lease execution.
This role is critical to securing the infrastructure that powers Anthropic's frontier AI systems across Europe — you'll bridge commercial negotiations with complex internal coordination across legal, finance, engineering, and network teams, and partner closely with our Compute Markets team who own the Europe market strategy and government relationships. This is not an established leasing org; you'll be building process alongside execution, and doing so across multiple countries with distinct regulatory, power, and development dynamics.
Responsibilities
Lead the RFP and commercial sourcing process for European data center deals, managing developer outreach, proposal evaluation, and competitive selection across multiple markets
Negotiate term sheets and manage the LOI process, structuring commercial terms that meet Anthropic's technical and business requirements while maintaining strong developer partnerships
Create the bridge from LOI to executed transaction, ensuring all commercial, technical, and legal requirements are satisfied for deal closure
Serve as project manager for cross-functional stakeholder engagement — coordinating due diligence teams, internal and external legal counsel, network organization, platform engineers, and finance to ensure alignment prior to lease execution
Act as the single point of contact for auxiliary organizations including networks, deployments, and government relations, providing regular updates on transaction progress and leasing status
Develop and maintain transaction timelines, tracking critical-path items and proactively identifying risks that could impact deal closure
Ensure all stakeholder requirements are captured and addressed in commercial agreements, translating technical and operational needs into contractual terms
Manage complex digital infrastructure development activities to a construction-ready state, through a developer or directly
Marry the right projects, capital stacks, and developers at the right stages
Navigate country-specific permitting, grid connection, and regulatory requirements that vary significantly across European markets
Document and refine transaction processes and playbooks to enable scalable deal execution as Anthropic expands its infrastructure footprint across the region
Partner with the Compute Markets Manager to prioritize markets, sites, and counterparties, and feed deal learnings back into Europe market strategy
You may be a good fit if you
Have 10+ years of experience in transaction management, commercial real estate, data center leasing, or infrastructure procurement
Possess a proven track record of managing complex, multi-stakeholder transactions from sourcing through execution
Have strong negotiation skills with experience structuring term sheets, LOIs, and commercial agreements
Excel at project management and can coordinate across legal, technical, finance, and operational teams simultaneously
Have experience with RFP processes and competitive sourcing for large-scale infrastructure or real estate transactions
Have experience working in or across European markets, with knowledge of the regional data center and development landscape — including established FLAP-D hubs and emerging markets like the Nordics and Southern Europe
Are comfortable operating across multiple countries with different legal frameworks, languages, and business cultures
Are highly organized with strong attention to detail while maintaining focus on strategic deal objectives
Can operate effectively in fast-paced, ambiguous environments where processes are being built alongside execution
Demonstrate exceptional communication skills and can coordinate effectively across time zones with US-based HQ teams and distributed European partners
It's a bonus if you
Have experience with data center or hyperscale infrastructure transactions specifically
Come from the development side of the industry rather than traditional brokerage/leasing — you understand how DC development works and how value is created (yield-on-cost, cap rates, development fees)
Understand technical requirements for AI/ML workloads including power density, cooling, and network connectivity
Have worked with legal teams on complex lease negotiations or infrastructure agreements across multiple European jurisdictions
Understand utility coordination, power procurement, or energy considerations in data center transactions, particularly in the European context (fragmented national power markets, grid connection queues, renewable PPAs, sustainability and efficiency regulations)
Have familiarity with data sovereignty and regulatory considerations that influence European site selection
Have relationships within the European data center developer, operator, and broker ecosystem
Have a background in corporate development, strategic partnerships, or infrastructure investment
Have experience in high-growth technology companies managing infrastructure expansion
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:
£1
—
£1 GBP
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: Remote-Friendly, United States
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 Transaction Manager at Anthropic, you'll drive the commercial sourcing and transaction execution process for our data center capacity deals. You'll lead RFP processes, negotiate term sheets, and serve as the central leader ensuring seamless stakeholder alignment from initial sourcing through lease execution. This role is critical to securing the infrastructure that powers Anthropic's frontier AI systems, requiring you to bridge commercial negotiations with complex internal coordination across legal, finance, engineering, and network teams.
Responsibilities
Help identify data center capacity opportunities and options through management of network relationships across data center developer, broker, and power contacts.
Lead the RFP and commercial sourcing process for specific data center deals, managing developer outreach, proposal evaluation, and competitive selection processes
Negotiate term sheets and manage the LOI process, structuring commercial terms that meet Anthropic's technical and business requirements while maintaining strong developer partnerships
Create the bridge from LOI to executed transaction, ensuring all commercial, technical, and legal requirements are satisfied for deal closure
Serve as project manager for cross-functional stakeholder engagement, coordinating due diligence teams, internal and external legal counsel, network organization, platform engineers, and finance organization to ensure alignment prior to lease execution
Act as the single point of contact (SPOC) for auxiliary organizations including networks, deployments, and government relations, providing regular updates on transaction progress and leasing process status
Develop and maintain transaction timelines, tracking critical path items and proactively identifying risks that could impact deal closure
Document and refine transaction processes and playbooks to enable scalable deal execution as Anthropic expands its infrastructure footprint
Ensure all stakeholder requirements are captured and addressed in commercial agreements, translating technical and operational needs into contractual terms
You may be a good fit if you
Have 10+ years of experience in transaction management, commercial real estate, data center leasing, or infrastructure procurement
Possess a proven track record of managing complex, multi-stakeholder transactions from sourcing through execution
Have strong negotiation skills with experience structuring term sheets, LOIs, and commercial agreements
Excel at project management and can coordinate across legal, technical, finance, and operational teams simultaneously
Have experience with RFP processes and competitive sourcing for large-scale infrastructure or real estate transactions
Demonstrate exceptional communication skills, able to serve as an effective liaison between internal stakeholders and external partners
Are highly organized with strong attention to detail while maintaining focus on strategic deal objectives
Can operate effectively in fast-paced, ambiguous environments where processes are being built alongside execution
Have a collaborative mindset and can build trust with diverse stakeholder groups across the organization
It's a bonus if you
Have experience with data center or hyperscale infrastructure transactions specifically
Understand technical requirements for AI/ML workloads including power density, cooling, and network connectivity
Have worked with legal teams on complex lease negotiations or infrastructure agreements
Possess familiarity with data center developer ecosystems and market dynamics
Have experience in high-growth technology companies managing infrastructure expansion
Understand utility coordination, power procurement, or energy considerations in data center transactions
Have a background in corporate development, strategic partnerships, or infrastructure investment
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
—
$405,000 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: Remote-Friendly, United States
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
Training and serving frontier AI models requires data center capacity at a scale and pace that conventional delivery models were not built for. Anthropic's Data Center Capacity Delivery team embeds with developers, general contractors, and third-party partners to take leased and partnered sites from deal close through floor access and operational handover as fast as they can safely be built.
As the Reporting and Controls Lead, you'll own the single view of where every project in the delivery portfolio stands: consolidated milestone tracking from early floor access through floor access and ready-for-service, the integrity of the data behind it, and the capacity projections leadership plans against. You'll build and run the reporting the delivery team and executives rely on, and chase down the schedule and data discrepancies it surfaces.
This is a highly cross-functional role: you'll work with Senior Delivery Managers and Regional Managers in the field, our third-party project-management partners, and the planning, transaction, design, and deployment teams whose inputs and outputs the portfolio schedule depends on.
MOC (Mission + Outcomes + Competencies)
Mission
Give the delivery team and leadership one trustworthy view of where every project stands.
Outcomes
Consolidated milestone tracking (early floor access, floor access, RFS) current across all projects.
Schedule and status data reconciled at the source.
Portfolio capacity projections and variance to plan maintained.
Delivery-review and executive reporting built; data-quality checks automated where possible.
Competencies
Project controls / scheduling on large capital programs.
Portfolio-level, not single-job, reporting.
Scheduling, spreadsheet, and BI tooling fluency.
Identifying, qualifying, and packaging data driven insights that define project and portfolio health.
Responsibilities
Own consolidated milestone tracking across all active and upcoming delivery projects — early floor access, floor access, ready for service — and keep it current
Validate schedule and status data from developers, GCs, and third-party partners; challenge what doesn't reconcile and fix it at the source
Maintain portfolio capacity projections and the variance to plan behind them
Build and maintain reporting for delivery reviews and executive updates
Define the data standards and integrated-schedule and tooling conventions projects report against, with the Program Management Lead
Automate reporting and data-quality checks where possible, including with AI-assisted tools
You may be a good fit if you
Have [7+] years in project controls, scheduling, or program reporting on large capital construction programs — data center, energy, or industrial
Have run consolidated reporting across a multi-project portfolio, not a single job
Are fluent in scheduling, spreadsheet, and BI tooling [e.g. Primavera P6, Excel, Power BI — confirm]
Communicate clearly, in writing and in charts, to technical and executive audiences
Are comfortable building the process while running it
Strong candidates may also have
Hyperscaler, colo, or developer-side program-controls experience
Owner's-side cost controls or earned-value reporting experience
Built planning or reporting tools leveraging AI-assisted 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:
$320,000
—
$405,000 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: Remote-Friendly, United States
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 building its own servers, racks, and accelerator systems with contract manufacturers and ODM partners, and deploying them across our fleet of data centers. We are seeking experienced engineers to own how well that hardware gets built.
As a Product Engineer on the Manufacturing Operations team, you are the technical owner of a product at the factory. During development, you gather manufacturing, test, and yield concerns, get them fixed in the design before each build, and sign off that the product is ready to move to the next stage. Once a product is in mass production, you keep it healthy by delivering engineering changes with minimal disruption, qualifying new components and second-source manufacturers, and root-causing yield and field failures.
This is a hands-on role with up to 50% travel to partner factories in the US and abroad. You should be as comfortable debugging a test failure on the line as you are presenting a corrective action plan to leadership.
Representative projects
Take a new accelerator rack from early evaluation to mass production at an ODM: audit the assembly and test process, set yield targets, confirm test coverage, and approve the transition.
Scale manufacturing from one line to multiple and then to a second site or second manufacturer without yield or throughput regressions.
Run a cross-functional root cause on field failures traced to a manufacturing gap, drive corrective action with the ODM/CM, and close the loop with the design itself when required.
Lead an engineering change across manufacturers: BOM and PLM updates, cut-in planning, partner training, validation, and monitor field failures/RMA.
Bring manufacturing requirements and validation data into each development phase review so the engineering team has a single prioritized list of what to fix before the next build.
You may be a good fit if you
Have carried a hardware product from early builds through mass production at a contract manufacturer or ODM.
Have set up or improved assembly and test processes at a manufacturing partner and drove yield, quality, and schedule commitments.
Use structured manufacturing and root-cause methods (DFM, FMEA, SPC, 8D or similar) as a matter of habit, and are an expert at translating messy failure data into clear decisions.
Can write a product-specific test plan and judge whether test coverage is sufficient.
Communicate clearly with partner engineers and operations staff on the floor as well as with leadership in a readout.
Are willing to travel to partner sites up to 50% of the time.
Have a degree in Electrical, Mechanical, Industrial, or Materials Engineering, or equivalent practical experience.
Strong candidates may also
Have been the technical lead for a data center hardware program such as: server, storage, switch, rack, or accelerator.
Have stood up a new manufacturing line or site, or brought up a second CM for an existing product.
Have experience with liquid-cooled or high-power-density rack systems.
Possess a Master's degree in a relevant engineering discipline.
Have worked closely with sourcing and supply chain teams on component qualification and multi-sourcing strategies.
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
—
$405,000 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: Remote-Friendly, United States
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 Manufacturing Engineer within the Data Center Infrastructure organization, you will own how Anthropic's servers, racks, and accelerator systems are built at our contract manufacturing and ODM partners. You will design and qualify the assembly, integration, and test processes for each product, bring up new lines and new sites, and drive yield, cycle time, and manufacturing cost once a product is in production. As a subject matter expert in electronics and rack-level manufacturing, you will give the design team early manufacturability feedback, set the process standards our partners build to, and be on the floor when a line is coming up or a yield problem needs solving. If you have built manufacturing processes for complex hardware at a CM or ODM, are passionate about HPC data centers, & enjoy working in complex, fast-paced environments, we welcome you to apply.
This is a hands-on role with up to 50% travel to partner factories in the US and abroad. You should be as comfortable addressing issues on the line as you are presenting a vendor improvement plan to leadership.
Responsibilities Include:
Design and document the assembly, rack integration, and test process for new server and rack products, including work instructions, process flows, takt and cycle time targets, and line layout.
Lead new line and new site bring-up at CM/ODM partners, from process validation and capacity verification through pilot builds and release to mass production.
Specify, source, and validate tooling, fixtures, and test equipment.
Own first-pass yield, cycle time, and process capability in production; run SPC, analyze failure and rework data, and drive corrective actions with manufacturing partners.
Provide design-for-manufacturing and design-for-test feedback during product development and represent manufacturing in pilot build reviews.
Qualify process changes and engineering changes on the line, including PFMEA updates, control plan revisions, and operator training, before changes are cut in.
Replicate a qualified process from one line or site to another without a yield or throughput regression, and audit partner lines against Anthropic standards.
Partner with product engineering, test engineering, quality, and supply chain to resolve systemic build issues and reduce per unit cost.
You may be a good fit if you:
Have 8+ years of experience in manufacturing engineering or process engineering for complex electromechanical or electronics products built at a contract manufacturer or ODM.
Have designed and released a production process end to end, including line layout, work instructions, fixtures, and test, and owned its yield and cycle time in mass production.
Have led a new line or site bring-up at a manufacturing partner.
Are experienced with common manufacturing engineering tools such as: PFMEA, control plans, SPC, process capability, gauge R&R, DFM/DFT, and structured root cause methods such as 8D.
Are comfortable on the factory floor and can diagnose a process problem through observation and analysis of factory telemetry.
Communicate clearly with partner engineers and operators on the floor and with leadership in a readout.
Can travel to partner manufacturing sites, domestic and international up to 50% of the time.
Have a degree in Mechanical, Industrial, Manufacturing, or Electrical Engineering, or equivalent practical experience.
It’s a bonus if you have:
Experience manufacturing servers, racks, switches, or accelerator systems at data center scale.
Experience with liquid-cooled rack integration, including cold plates, manifolds, CDUs, and leak and fill test processes.
Experience with SMT and PCBA process, box build, and rack\-level system integration and test.
Experience qualifying a second CM or second site for an existing product.
Experience with lean and continuous improvement methods (value stream mapping, kaizen, Six Sigma) applied at a manufacturing partner.
A Master's degree or better in a relevant engineering discipline.
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
—
$405,000 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: Portland, OR
Workplace: onsite
About Welocalize
Welocalize, a Welo Global brand, serves localization teams through AI-enabled multilingual content solutions that enable enterprises to operate and scale globally. Welocalize combines AI, automation, and human expertise to support enterprises in more than 300 languages, enabling accurate, culturally aligned, and compliant multilingual content at scale.
Welocalize’s Opal Platform comprises patented technology designed to automate multilingual content and improve workflow performance for enterprises. Opal functions as an agentic system that orchestrates AI, automation, and human expertise to coordinate content workflows across the lifecycle, improving speed, scalability, and operational control for global enterprises. These solutions operate within a secure and compliant environment supported by seven ISO certifications. Welocalize is headquartered in New York with offices worldwide. welocalize.com
As a Tech Linguistic Tester, you will primarily be proofreading and editing content already localized to your native language, making sure that you catch any errors in the content, such as: grammar, typos, syntax, punctuation, capitalization, political incorrectness, inconsistencies, and extra spaces between words or characters. You will sometimes be translating content from English to your native language. You will also be
checking UIs for functional issues.
Job Description
The following is a non-exhaustive list of responsibilities and areas of ownership for this role:
• Write and report relevant bugs and errors using best practices through internal database system.
• Ability to undertake and prioritize tasks and issues quickly and efficiently.
• Native language skills and cultural awareness of native country.
• Good oral and written communication.
• Highly organized with attention to detail and a commitment to quality.
• QA various products in by accurately following testing instructions and test cases.
• Discover and report defects (bugs) using client specific bug tracking tools.
• Evaluate translations in the context of software, mobile apps and documentation.
• Be a subject matter expert for linguistic issues in the target language; be able to research and resolve linguistic questions.
• Adhere to project-specific quality standards, trademarks, style guides and client-preferred checklists and glossaries.
• Troubleshoot basic problems; be able to communicate effectively and escalate testing issues.
• Complete assigned tasks in a timely manner and of high quality.
Experience
• Ability to work onsite and/or well as client location.
• Native-level or fully bilingual fluency (both spoken and written language) in required language(s).
• Up-to-date awareness of current and common technical language usage in the target language.
• Strong English skills, both written and verbal.
• Experience with MS applications (Outlook, Word, Excel, PowerPoint).
• Ability to navigate networks and websites with different browsers.
• Basic knowledge of PC-hardware (desktop and laptop).
• Basic knowledge of smart phones (iPhone or Android).
• Familiarity with Android and iOS operating systems..
• 3+ years professional translation & localization experience.
• Familiarity with native culture and trends.
• Avid user of social media with familiarity with Facebook Family of Apps.
• Experience with consumer devices that provide utility like messaging, health, fitness, calendar, organization.
Key Competencies and Requirements
• Strong Company & Industry Awareness.
• Can establish & Develop Processes and procedures as part of a client program.
• Strong Problem-Solving skills as to arrive at optimal solution.
• Shows excellent Time Management skills.
• A Plan-Do-Check-Act cycle approach to tasks and workloads.
• Takes Ownership of deliverables.
Be organized and able to work in a fast-paced environment.
• Candidates with Localization/QA/translation experience or with advanced computer skills are preferred.
Knowledge of common technological terms in English and target language.
Flexibility with varying hours.
Location: New York, NY
Workplace: Hybrid
We are building AI to simulate the world through merging art and science.
We believe that world models are at the frontier of progress in artificial intelligence. Language models alone won’t solve the world’s hardest problems – robotics, disease, scientific discovery. Real progress requires models that experience the world and learn from their mistakes, the same way that humans do. And this kind of trial and error can be massively accelerated when done in simulation, rather than in the real world.
World models offer the most clear path to general-purpose simulation, changing how stories are told, how scientific progress is made and how the next frontiers of humanity are reached.
Our team consists of creative, open minded, caring and ambitious people who are determined to change the world. We aspire to continuously build impossible things and our ability to do so relies on building an incredible team. If you are driven to do the same, we'd love to hear from you.
*Titles posted to our careers page are updated regularly to best advertise the role and expected seniority, but internally we have a flat titling system with two types of titles: one for individual contributors and one for people managers.
ABOUT THE ROLE
*Open to hiring remote across the US and London— we also have offices in NYC, San Francisco, Seattle, and London
We are looking for a highly-motivated senior IC who will work with some of Runway’s biggest and most strategic partners. You will be central to our partners’ success in adopting Runway to transform the ways they create content. Success in this role will require a mix of technical fluency, strategic thinking, and hands-on execution.
WHAT YOU’LL DO
- Own deep, trusted C-suite level relationships with Runway's most strategic partners (from Hollywood studios to Fortune 100 enterprises) ensuring they're not just customers, but long-term partners at the frontier of AI-driven creativity and innovation
- Be in the room where it happens: collaborating directly with world-class creative teams at the biggest Hollywood studios, brands, and F100 companies to co-create Emmy award-winning shows, Oscar-winning movies, Super Bowl commercials, and cultural moments that define a generation
- Operate as a strategic thought partner internally: codifying the use cases we know work today while pioneering the ones that don't exist yet, and translating both into initiatives that shape Runway's product strategy and industry positioning
- Get embedded within accounts to learn and understand their (content) pain points and challenges today, then propose discrete ways in which Runway can solve those challenges
- Identify and prototype specific and highly targeted new markets and new opportunities for our products
- Develop a deep, functional and technical understanding of our products and future roadmap
- Be hands-on in quickly onboarding new partners to our platform and/or API while also supporting their long-term expansion and technical understanding of how to leverage Runway
- Provide high-impact feedback to Product, Engineering, and Creative which can in turn improve the product experience for our partners
- Analyze, track, and report on the performance of existing partnerships leveraging BI tools and data
WHAT YOU’LL NEED
- 5+ years of overall experience in customer-facing roles, engaging C-level technical audiences with complex global organizations ideally within tech, finance, or consulting
- Have led complex implementations of Generative AI/traditional ML solutions and can drive measurable business outcomes
- Ability to work in a fast-paced, dynamic environment and manage multiple priorities with expansive ownership and ruthlessly prioritize
- A strong bias towards action and belief that no task is too small for you
- Have a track record of rapidly prototyping ideas and a willingness to work iteratively with your customers to deliver the right solution that solves their problem
- Possess exceptional presentation and communication skills, particularly when engaging with executives and leaders
- High technical aptitude for understanding complex technologies, tools, systems, and issues
- Mindset to think creatively and think beyond past checklists and playbooks
- Highly resourceful with the ability to create structure and work autonomously amidst ambiguity
- Nice to have but not required: experience with data tooling and BI systems (SQL, BigQuery, Retool, etc)
- New York, SF, or London-based preferred
Runway strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity for our team. Our salary ranges are based on competitive market rates for our size, stage and industry, and salary is just one part of the overall compensation package we provide.
There are many factors that go into salary determinations, including relevant experience, skill level and qualifications assessed during the interview process, and maintaining internal equity with peers on the team. The range shared below is a general expectation for the function as posted, but we are also open to considering candidates who may be more or less experienced than outlined in the job description. In this case, we will communicate any updates in the expected salary range.
Lastly, the provided range is the expected salary for candidates in the U.S. Outside of those regions, there may be a change in the range, which again, will be communicated to candidates.
WORKING AT RUNWAY
Great things come from great teams. https://www.youtube.com/watch?v=kwmj4ato2kw&ab_channel=Runway We’d love to hear from you.
We’re committed to creating a space where our employees can bring their full selves to work and have equal opportunity to succeed. So regardless of race, gender identity or expression, sexual orientation, religion, origin, ability, age, veteran status, if joining this mission speaks to you, we encourage you to apply.
More about Runway
- Universal World Simulator https://runwayml.com/world-simulator.html
- GWM-1 https://runwayml.com/research/introducing-runway-gwm-1
- Gen-4.5 https://runwayml.com/research/introducing-runway-gen-4.5
- General World Models https://runwayml.com/research/introducing-general-world-models
- Robotics SDK https://runwayml.com/research/introducing-runway-gwm-1#robotics-section
- Conversational Real-time Agents https://runwayml.com/research/introducing-runway-gwm-1#avatars-section
- Runway Studios https://runwayml.com/studios
We're excited to be recognized as a best place to work:
Crain's https://www.crainsnewyork.com/awards/best-places-work-2023 | InHerSight https://www.inhersight.com/companies/best/city/new-york-city-ny | BuiltIn NYC https://builtin.com/awards/new-york-city/2024/best-places-to-work | INC https://www.inc.com/best-workplaces/2024
География найма не уточнена
San Francisco, CA
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.
УдалённоRemote, Canada; Remote, United States; The base salary range for this role’s listed level is currently for residents of the United States only
United States, San Mateo, CA
New York, NY
New York City, New York
Jeddah, Saudi Arabia
United States
London, UK; Demonstrate exceptional communication skills and can coordinate effectively across time zones with US-based HQ teams and distributed European partners
УдалённоRemote-Friendly, United States
УдалённоleadRemote-Friendly, United States
УдалённоRemote-Friendly, United States
УдалённоRemote-Friendly, United States
ОфисГеография найма не уточнена
ГибридNew York, NY; Lastly, the provided range is the expected salary for candidates in the U.S
