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.
Staff Software Engineer, Data Governance & Trust
San Mateo, CA
About the role
Sony Interactive Entertainment is seeking a Staff Software Engineer to help shape and deliver the technical foundation for Data Governance and Trust across our data and AI ecosystem.
Our ambition is to make data understandable, reliable, reusable, and appropriately governed for the people, applications, and AI systems that depend on it. Achieving this requires shared platform capabilities, clear ownership, and governance practices embedded into how teams build and operate data products.
In this role, you will establish technical direction, lead initiatives across teams, and remain hands-on in architecture and implementation. You will connect metadata, lineage, data quality, semantic context, and policy controls into practical capabilities that help teams use data with confidence.
You will also be a trusted technical representative for the Data Governance and Trust group. We are looking for someone who can lead productive discussions, explain complex tradeoffs, navigate difficult conversations, and build alignment across engineering, business, governance, security, and privacy stakeholders.
This is an individual contributor leadership role with impact across teams.
What you will do
Set technical direction and deliver shared capabilities
Shape the architecture and technical roadmap for Data Governance and Trust in partnership with engineering leadership, product partners, domain teams, and governance stakeholders.
Lead initiatives from discovery and ambiguous requirements through design, implementation, adoption, and ongoing operation.
Design and build services, integrations, APIs, and automation that connect metadata, ownership, classification, lineage, quality signals, and policy information across the data ecosystem.
Establish reusable engineering patterns that embed trust requirements into data publishing, discovery, access, consumption, change, and retirement.
Stay hands-on through prototypes, production code, design reviews, and the resolution of complex technical problems.
Lead conversations and build alignment
Serve as a technical spokesperson for the group in architecture discussions, planning forums, domain engagements, and leadership reviews.
Facilitate discussions among stakeholders with different priorities, surface disagreements constructively, and guide decisions toward clear outcomes.
Explain technical choices, business implications, risks, and costs to both engineering and nontechnical audiences.
Challenge assumptions respectfully, incorporate feedback, and help teams reach workable agreements on standards, ownership, and implementation.
Document decisions, clarify responsibilities and dependencies, and follow through on commitments across teams.
Build relationships that enable adoption through credibility, collaboration, and influence.
Make governance practical and sustainable
Partner with governance, security, privacy, and domain stakeholders to translate agreed requirements into implementable controls and traceable evidence.
Help domain teams define data contracts, quality expectations, ownership responsibilities, and lifecycle practices supported by shared platform capabilities.
Connect quality and reliability signals to accountable owners, consumer communications, and remediation workflows.
Evaluate build, buy, and integration choices based on interoperability, usability, reliability, operating cost, and long-term flexibility.
Measure success through improvements in approved data use, adoption, reliability, reuse, and operational effort.
Prepare the foundation for AI consumption
Develop ways to make business meaning, provenance, quality status, and permitted-use information available to applications and AI through supported interfaces.
Partner with AI and platform teams on governed access to data and context, including traceability and defined behavior when required trust information is missing.
Support shared semantic definitions and metadata models while preserving clear accountability within business domains.
Strengthen the team
Mentor engineers in system design, technical judgment, stakeholder engagement, and leadership.
Raise engineering standards for reliability, maintainability, testing, observability, and documentation.
Help engineers take broader ownership and communicate their recommendations effectively.
What you bring
A track record of designing, building, and operating production software or data platforms, with demonstrated impact across multiple teams.
Deep knowledge of metadata management, data governance, lineage, data quality, privacy engineering, access controls, or closely related platform domains, grounded in practical delivery.
Hands-on expertise building or extending metadata and catalog platforms such as Atlan, Alation, DataHub, OpenMetadata, or comparable systems.
A practical understanding of federated ownership models, data stewardship, semantic models, business glossaries, or certified metrics.
The ability to work across warehouse, lakehouse, streaming, and data transformation environments.
Demonstrated delivery of data contracts, automated lineage, quality checks, or policy as code.
Sound judgment in translating ambiguous business or policy requirements into clear technical designs and delivered outcomes.
Proven ability to lead initiatives across teams without direct reporting authority.
Skill in leading difficult technical or organizational conversations, resolving competing priorities, and securing clear decisions and commitments.
Strong written and verbal communication, including architecture proposals, decision documents, and presentations tailored to different audiences.
A collaborative approach grounded in listening, respectful challenge, and shared accountability.
A commitment to mentoring engineers, supported by examples of improving the effectiveness of the teams around you.
What would be valuable
Strong software engineering skills, including proficiency in a language such as Python, Java, or Go, and practical SQL experience.
Experience with distributed systems, APIs, integrations, and cloud data infrastructure, including sound judgment about reliability, consistency, security, and failure handling.
Experience implementing controls that generate operational evidence.
Delivering governed data or context services for analytics, applications, machine learning, or AI agents.
Leading platform adoption, modernization, or migration across organizational boundaries.
Representing technical work through internal forums, technical writing, communities of practice, or external presentations.
What success looks like
Partner teams understand the technical direction, the decisions required, and their responsibilities.
Cross-team discussions produce documented decisions, accountable owners, and sustained follow-through.
Priority workflows demonstrate connected governance capabilities in production, supported by clear operating ownership.
Producers and consumers can access relevant meaning, ownership, lineage, quality, and permitted-use information within their workflows.
Shared patterns reduce repeated implementation work and manual coordination.
Engineers across the group grow in technical judgment, communication, and leadership.
#LI-KS1
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.
$216,200
—
$324,400 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 (where applicable) 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: Singapore
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 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 the founding leader of Applied AI Solutions Architecture in Singapore, you will drive the adoption of frontier AI by enabling the deployment of Anthropic's products (Claude for Enterprise, Claude Code, and API) across ASEAN enterprises and digital-first organizations. You'll leverage your technical skills and consultative sales experience to drive positive AI transformation that addresses our customers' business needs, meets their technical requirements, and provides a high degree of reliability and safety.
You'll be responsible for building and leading the ASEAN Applied AI team from the ground up. Applied AI comprises Solutions Architects, Product Engineers, and Finetuning Engineers. You will establish processes and best practices for the region's technical pre-sales engagements based on your years of experience, help each team member achieve success, high productivity, and career growth, and represent Anthropic as a technical lead on some of its most important partnerships across ASEAN.
In collaboration with the Sales, Product, and Engineering teams globally and locally, you'll help enterprise partners across ASEAN incorporate leading-edge AI systems into their cutting-edge products and platforms. You will employ your excellent communication skills to explain and demonstrate complex solutions persuasively to technical and non-technical audiences alike. You will play a critical role in identifying opportunities to innovate and differentiate our AI systems, while maintaining our best-in-class safety standards.
Responsibilities
Build and manage the foundational team of Applied AI professionals in ASEAN regions (Solutions Architects and Product Engineers) providing both technical guidance and career development
Set goals and reviews for your team, promoting growth and output
Work with a handful of highest-value enterprise customers across ASEAN on their overall AI adoption strategies, focusing on pre-sales technical excellence including use case scoping, technical champion building, and POC execution
Partner closely with your aligned GTM leadership to understand customer requirements & co-build GTM strategies to drive adoption for ASEAN enterprise customers
Contribute to thought leadership through conference presentations, webinars, and technical content creation within the ASEAN market
Own the technical portions of pre-sales engagements, ensuring your team provides compelling demos and validates enterprise customer ROI from Anthropic products
Drive collaboration from cross-functional teams to influence and unify stakeholders at all levels of the organization to drive business outcomes
Travel regularly to customer sites across ASEAN for executive-level sessions, technical workshops, and building relationships
Establish a shared vision for creating solutions that enable beneficial and safe AI in technology products
Lead the vision, strategy, and execution of innovative solutions that leverage our latest models' capabilities
Stay current with emerging AI/ML trends and competitive landscape in the ASEAN enterprise tech sector, including the region's highly regulated industries (financial services, government, resources)
You may be a good fit if you have
15+ years of experience as a Solutions Architect, Sales Engineer, or similar pre-sales technical role
5+ years of technical go-to-market management experience, specifically managing pre-sales teams
Experience working with ASEAN enterprise customers and understanding local business culture, procurement processes, and decision-making dynamics across ASEAN
Familiarity with the ASEAN regulatory landscape (e.g., Singapore Privacy Principles, APRA CPS 234, data sovereignty requirements) and how it impacts enterprise AI deployments
Experience with the unique technical requirements and technical procurement process of enterprise tech companies
Deep technical proficiency with enterprise AI deployments, API integrations, and production LLM use cases
Have an organizational mindset and enjoy building foundational teams in a relatively unstructured environment
Have excellent communication, collaboration, and coaching abilities
Are comfortable dealing with highly uncertain, ambiguous, and fast-moving environments typical of the tech industry
Strong executive presence and ability to foster deep relationships with technical leaders and engineering teams
Have at least a high level familiarity with the architecture and operation of large language models and/or ML in general
Experience with prompt engineering, LLM evaluation, and architecting AI-powered systems
Make ambiguous problems clear and identify core principles that can translate across scenarios
Have a passion for making powerful technology safe and societally beneficial
Think creatively about the risks and benefits of new technologies, and think beyond past checklists and playbooks
Stay up-to-date and informed by taking an active interest in emerging research and industry trends
Understanding of developer tooling, SDKs, and technical integration patterns common in enterprise tech companies
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.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
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: Montevideo, Uruguay; Remote.AR, Remote.LATAM-country; Remote.BR, Brazil; Remote.CO, Colombia; Rosario, Remote.LATAM-country
We are looking for an experienced Senior Developer who combines strong React frontend skills with robust Python/Django backend expertise. This role offers the opportunity to work on cutting-edge solutions that are transforming the real estate technology sector. The ideal candidate will help build and optimize full-stack applications that enhance the apartment leasing experience for property managers and renters alike.
Our client values proactive team members who are eager to dive deep into the multifamily real estate domain, understand the unique challenges of property management, and actively contribute to solving complex business problems. You’ll be expected to go beyond just coding to truly understand the client’s field, engage with their business challenges, and take ownership of delivering solutions that make a real impact.
DataArt is seeking a talented Senior Full-Stack Developer with strong React and Python expertise to join our team for an exciting project with our client, a leading proptech company that is revolutionizing the apartment rental process through innovative technology solutions. Our client provides AI-powered leasing automation, renter communication tools, and operational intelligence for multifamily property management companies. They are at the forefront of digital transformation in real estate, helping property managers streamline operations, enhance renter experiences, and make data-driven decisions through cutting-edge technology that automates routine tasks and provides actionable insights.
Design responsive and user friendly web applications using React.js and modern JavaScript
Build and maintain backend services using Python and Django
Create reusable React components and implement state management solutions
Develop and optimize RESTful APIs and microservices architecture
Ensure integration between frontend and backend systems
Collaborate with UX UI designers to implement accessible interfaces
Optimize application performance for fast load times and smooth user interactions
Identify opportunities for product improvement and innovation
Analyze the property management domain to understand user needs and pain points
Ensure code quality, performance, and security practices across the full stack
5 plus years of professional experience in full-stack development
Experience with React.js, including hooks, Context API, and modern React patterns
Proficiency in JavaScript, TypeScript, HTML5, CSS3, and responsive design
Experience with Python and Django for backend development
Experience with state management libraries such as Redux, MobX, or Context API
Understanding of RESTful service architecture and API design
Experience with frontend build tools such as Webpack, Vite, or similar tools
Familiarity with frontend testing frameworks such as Jest and React Testing Library
Experience with Git and CI CD pipelines
Ability to solve technical problems with attention to detail
Ability to understand business context and domain specifics
Communication skills for working in a distributed team environment
English proficiency at B2 level or higher
Experience with LLM API providers such as OpenAI and Anthropic
Knowledge of LangSmith or similar AI ML observability tools
Experience in the PropTech or Real Estate industry
Knowledge of cloud platforms such as AWS, Azure, or GCP
Experience with containerization using Docker and Kubernetes
Familiarity with GraphQL
Experience with Next.js or other React frameworks
Knowledge of UI UX design principles and tools such as Figma and Sketch
Experience working with stakeholders to gather requirements and translate them into technical solutions
Location: Yerevan, Armenia
We are looking for a Middle .Net Developer to support the design and delivery of distributed backend solutions for a Banking App. In this role, you will work with modern .NET technologies, architectural patterns, databases, integration mechanisms, and DevOps practices in an onsite setup in Armenia.
The Banking App is a financial domain project delivered from the client's office in Armenia. It is centered on developing reliable and scalable .NET based solutions with a strong focus on architecture, integration, performance, and operational quality.
Develop backend solutions using the .NET ecosystem
Design software architecture using Clean Architecture and microservices principles
Apply design patterns and SOLID principles in implementation decisions
Build and support distributed systems for scalable application workflows
Optimize SQL queries and database performance
Design database structures with a focus on efficiency and maintainability
Implement system integration patterns using REST and messaging
Collaborate on software quality and testing strategy execution
Improve application performance and scalability mechanisms
Work with containerization technologies including Docker and Kubernetes
Support CI/CD environments and DevOps processes
Integrate message brokers such as RabbitMQ and Kafka into backend workflows
Implement observability practices through logging and monitoring
Contribute to the design and implementation of AI powered systems
Work from the client's office in Armenia as part of project delivery
Experience as a Middle .Net Developer
English language proficiency
Knowledge of software architecture including Clean Architecture and microservices
Knowledge of design patterns and SOLID principles
Understanding of distributed systems
Knowledge of performance and scalability mechanisms
Knowledge of database design and optimization
Knowledge of system integration patterns including REST and messaging
Knowledge of software quality and testing strategies
Advanced knowledge of the .NET ecosystem
SQL and database performance optimization skills
Knowledge of containerization technologies including Docker and Kubernetes
Knowledge of DevOps processes
Knowledge of message brokers including RabbitMQ and Kafka
Knowledge of observability practices including logging and monitoring
Practical knowledge of microservices architecture
Knowledge of algorithms and software performance optimization
Up to date knowledge of designing and implementing AI powered systems
Knowledge of CI/CD environments and DevOps processes
Ability to work from the client's office in Armenia
Location: United States
Who we are:
Action1 is an autonomous patch management platform trusted by many Fortune 500 companies. Cloud-native, infinitely scalable, highly secure, and configurable in 5 minutes, it just works and is always free for the first 200 endpoints, with no functional limits. By pioneering autonomous OS and third-party application patching, Action1 helps organizations eliminate routine work, reduce ransomware and security risks, and protect the digital employee experience. It provides real-time vulnerability assessment and remediation across remote and on-site endpoints without requiring a VPN, while peer-to-peer patch distribution reduces bandwidth use on local networks.
In 2026, Action1 was recognized as the fastest-growing founder-led cybersecurity company in America on the Inc. 5000. Action1 is led by industry veterans Alex Vovk and Mike Walters, American entrepreneurs who founded Netwrix, which has grown into an industry-leading, multibillion-dollar cybersecurity company.
Introduction:
We’re looking for a phone-first BDR to create new pipeline for our endpoint management and patch management platform. You’ll prospect for IT and security leaders, open conversations around endpoint visibility, patching, vulnerability reduction, and operational efficiency, and book qualified meetings for the sales team.
This role is best suited to someone with SaaS outbound experience who is comfortable making cold calls and learning a technical product. Experience selling endpoint management, cybersecurity, IT operations, infrastructure, backup, RMM, or MSP solutions is a must-have skill
What you’ll do
Build pipeline through cold calling, email, LinkedIn, and account research
Prospect IT and security buyers, including CIOs, CISOs, IT directors and managers, security leaders, IT infrastructure leaders, and endpoint teams
Identify challenges involving patching, endpoint visibility, vulnerability exposure, manual IT processes, and device management
Run effective opening conversations and qualify potential opportunities
Partner closely with Account Executives on account strategy and meeting handoffs
Maintain accurate prospecting and qualification notes in Salesforce
Test messaging and help improve the outbound process as the team grows
Requirements
What we’re looking for
Experience selling endpoint management, patch management, vulnerability management, cybersecurity, RMM, IT operations, backup, disaster recovery, or infrastructure software
At least 6–12 months of B2B outbound experience in an SDR, BDR, inside sales, or new-business role
Experience prospecting IT or security buyers, such as CIOs, CISOs, IT directors, infrastructure leaders, security leaders, endpoint teams, or MSPs
Comfortable using cold calling as a primary pipeline-generation channel
Experience creating net-new pipeline rather than primarily managing inbound leads or existing accounts
Able to understand a technical product and communicate relevant business value to IT and security professionals
Strong discovery, objection-handling, and written communication skills
Self-directed and comfortable working in a growing environment where every process may not already be established
Benefits
A collaborative environment encouraging you to own your domain and implement best practices
Stable income, benefits, flexible working hours, and opportunities for promotion.
Friendly and professional peers, eager to help and help you grow.
A multitude of interesting challenges and opportunities.
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 Principal Executive Recruiter at GitLab, you’ll lead VP-level and other senior leadership searches across Sales, People, Legal, Finance, and other corporate teams. You’ll partner directly with senior executives to identify, engage, assess, and hire leaders, bringing market intelligence and a research-driven approach to complex, often confidential searches. Alongside owning searches end to end, you’ll help shape the strategies, frameworks, and practices that strengthen executive recruiting at GitLab, balancing search rigor with the agility of a fast-moving technology organization.
What you’ll do
Lead VP-level and other senior leadership searches end to end, from search strategy and market mapping through assessment, selection, and closing.
Advise C-suite executives and senior business leaders on hiring decisions, challenge assumptions, and navigate complex stakeholder dynamics.
Develop talent strategies using market mapping, competitive intelligence, creative sourcing, and recruiting data to guide each search.
Build relationships with passive executive talent, understand their motivations, and connect opportunities to GitLab’s mission and business priorities.
Partner with hiring leaders to define success profiles, assess executive capabilities and business impact, and guide evidence-based hiring decisions.
Own executive candidate relationships and deliver a high-touch experience through compensation discussions, competing opportunities, and negotiations.
Manage multiple confidential, business-critical searches with discretion, balancing urgency, quality, stakeholder alignment, and candidate experience.
Collaborate with Talent Acquisition leadership and executive recruiting peers to improve search frameworks, assessment practices, reporting, and tools.
What you’ll bring
Experience independently leading VP-level and senior executive searches through successful hires in an executive search firm, an in-house executive recruiting function, or both.
Executive recruiting experience across functions such as Sales, People, Legal, Finance, or other corporate teams, with the business acumen and curiosity to learn new domains.
The ability to build trusted relationships with C-suite executives, influence senior stakeholders, and provide candid, evidence-based guidance on hiring decisions.
Skills in talent research, market mapping, creative sourcing, leadership assessment, and engaging and closing passive executive talent.
Business judgment, communication, and negotiation skills to navigate sensitive searches, complex compensation discussions, and competing executive priorities.
Experience developing or improving executive search methodologies, frameworks, and processes while maintaining speed and flexibility.
A hands-on approach to managing multiple high-priority searches independently and working through ambiguity.
Experience in high-growth technology or enterprise software organizations, global executive searches, and distributed organizations is helpful.
About the team
You’ll join a globally distributed, remote-first Talent Acquisition team where clear communication and reliable follow-through matter. Guided by GitLab’s operating principles, including Speed with Quality, Ownership Mindset, and Customer Outcomes, we take ownership, move with urgency and rigor, and focus on hiring outcomes that matter to our internal customers. We share learnings and create reusable resources to continually improve the quality and consistency of hiring across Business teams.
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
$184,800
—
$314,400 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: Remote-Friendly (Travel-Required) | San Francisco, CA | Seattle, WA | 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's Infrastructure team is seeking a Data Center Energy Lead to secure power capacity and accelerate energy delivery for our rapidly expanding AI compute footprint. You'll work at the intersection of energy markets, utility operations, and AI infrastructure needs, leading multi-hundred megawatt procurement efforts and building strategic relationships with utilities, grid operators, and regulators across multiple jurisdictions. This role is essential to ensuring Anthropic can scale compute capacity efficiently while navigating complex energy market dynamics and regulatory environments to achieve the speed and scale required for frontier AI development.
Responsibilities:
Lead energy procurement and markets strategy to secure multi-hundred megawatt power capacity for AI infrastructure, structuring utility partnerships and commercial agreements that prioritize speed-to-energization and scale
Own utility and regulatory stakeholder management across multiple jurisdictions, building strategic relationships with ISOs, transmission operators, and utilities to accelerate interconnection timelines and unlock constrained capacity
Drive energy markets and policy strategy for AI compute facilities, monitoring regulatory developments and engaging policymakers to address grid capacity challenges and expedite approval processes for critical infrastructure
Partner with engineering and delivery teams to translate energy market dynamics and utility constraints into actionable capacity acceleration strategies that align procurement schedules with aggressive project timelines
Develop deep market intelligence on regional power availability, transmission constraints, and interconnection queue dynamics to inform site selection and deployment strategy
Structure innovative commercial frameworks and partnership models that enable faster power delivery and mitigate grid capacity risks across Anthropic's datacenter portfolio
You may be a good fit if you:
Have 15+ years of experience in energy procurement, utility development, or power markets for large-scale infrastructure projects
Have deep expertise in wholesale power markets, utility interconnection processes, and transmission system planning
Have experience securing 100+ MW of power capacity and navigating complex utility service agreements or power purchase agreements or other offtake agreement structures
Are proficient in analyzing energy market dynamics, regulatory frameworks, and grid constraints to inform strategic decision-making
Have strong stakeholder management skills and experience building relationships with utilities, ISOs/RTOs, regulators, policymakers and critical equipment vendors.
Have excellent communication skills and can translate complex grid and regulatory dynamics into actionable business strategies for technical and non-technical audiences
Strong candidates may also have some of the following:
Past experience with energy procurement specifically for datacenters, high-performance computing, or AI/ML infrastructure
Familiarity with hyperscale infrastructure requirements and the unique power demands of large-scale AI training and inference workloads
Experience with regulatory affairs, energy policy advocacy, or engagement with state/federal energy commissions (FERC, state PUCs)
Background in transmission planning, interconnection study processes, or grid capacity analysis
Understanding of emerging grid technologies (energy storage, demand response, distributed energy resources) and how they can accelerate capacity delivery
Track record of structuring creative solutions to overcome grid constraints and compressed timelines in competitive power markets
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$405,000
—
$485,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
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: Munich, Germany
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 the team to help the world's most ambitious organizations adopt Claude in ways that are transformative, safe, and lasting. Our Forward Deployed Engineers embed directly with strategic customers to ship production AI applications that solve real business problems. As this practice grows, we need a founding leader to build and scale it.
As the first FDE Manager in DACH, you'll own the team that sits at the frontier of enterprise AI deployment. You'll hire and develop a high-performing team of FDEs, set the technical and operational bar for customer engagements, and build the playbooks that turn one-off successes into repeatable patterns. You'll work hand-in-hand with Engagement Managers who own delivery logistics and stakeholder management, while you ensure your team is shipping quality code, growing technically, and representing Anthropic at the highest level in customer environments.
This is a player-coach role with a strong bias toward leadership. You'll stay close enough to the technical work to review architectures, debug production issues, and pair with your team when it matters — but your primary impact will come from the people you hire, the standards you set, and the culture you create. You'll partner cross-functionally with Sales, Product, and Engineering to shape how Anthropic serves its most strategic customers, and your team's field insights will directly influence product direction.
This role requires someone who thrives in ambiguity and is energized by building from zero to one. You'll be defining what good looks like for FDE management at Anthropic — there is no existing playbook to follow.
Responsibilities
Hire, develop, and retain a world-class team of Forward Deployed Engineers. Set a high bar for technical talent and customer instincts.
Conduct regular 1:1s, provide technical mentorship, and invest in the career growth of each team member. Create an environment where FDEs do the best work of their careers.
Staff and oversee customer engagements across your team's portfolio, making resource allocation decisions that balance customer needs, team development, and business priorities.
Collaborate with account teams and Engagement Managers during the pre-sales process to qualify engagements, scope work, and inform statements of work.
Review technical architectures and code produced by your FDEs, ensuring the team ships high-quality, production-ready solutions that solve real customer problems.
Stay hands-on enough to lead technical discovery sessions, prototype solutions, and debug complex issues alongside your team when needed.
Build repeatable playbooks, starter repositories, integration templates, and an internal knowledge base that captures what your team learns in the field.
Define team OKRs that tie to customer success outcomes and product adoption goals. Create operational cadences — standups, retros, engagement reviews — that keep the team aligned.
Partner with Product and Engineering to translate field insights into product improvements. Serve as the voice of the customer in internal planning.
Travel to customer sites as needed (25-50%), particularly during engagement kickoffs and for your team's highest-priority accounts.
You may be a good fit if you have
10+ years of experience in software engineering, solutions architecture, or a technical customer-facing role such as forward deployed engineering or consulting.
2+ years of people management experience within a services/post-sales/FDE organization with a track record of hiring, developing, and retaining strong engineers.
Experience building organizations from 0->1, not just inheriting an existing one.
Experience working directly with enterprise customers on technical implementations, including comfort navigating complex organizational dynamics.
Executive presence with the ability to move fluidly between strategic conversations with senior stakeholders and hands-on debugging sessions with engineers.
Strong written and verbal communication skills. You can translate technical complexity into clear narratives for diverse audiences.
Genuine excitement about building something new and defining what great looks like for a team that doesn't yet exist.
Why this role matters
You'll be a founding leader of a team that defines how enterprises adopt and scale AI. Your work will directly influence Anthropic's product direction, create reusable patterns for the broader customer base, and establish Anthropic as the trusted partner for AI transformation — all while advancing the responsible development of frontier AI systems.
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.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
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
Workplace: Hybrid
WHY HARVEY
At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come.
This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched.
Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you.
At Harvey, the future of professional services is being written today — and we’re just getting started.
ROLE OVERVIEW
As a Majors Customer Success Manager, you’ll play a critical role in guiding our largest customers through their journey with Harvey and defining the future of work at elite law firms, Fortune 500 companies and premier asset managers. This position is pivotal in ensuring our customers not only adopt but also derive maximum value from our technology. You'll act as a trusted advisor, deeply integrating Harvey into their business processes, providing expert industry advice and shaping Harvey’s product roadmap.
Role Overview
As a Majors Customer Success Manager, you’ll lead AI implementation, adoption and change management for Harvey’s largest customers, including leading law firms, Fortune 500 companies and asset managers. You’ll work directly with senior leaders and practicing lawyers to identify where AI can improve their work, turn those opportunities into implementation plans and lead the cross-functional effort to deliver results.
You’ll own the customer relationship end to end as the primary lead for a portfolio of strategic accounts, from initial deployment through ongoing adoption and renewal. This role combines the strategic depth of advisory work with responsibility for account health, measurable customer value and retention. You’ll drive retention by establishing measurable value, understanding customer needs and addressing barriers to continued investment, partnering with Sales throughout the customer lifecycle.
What You’ll Do
- Lead implementation and transformation programs. Assess customer goals and current workflows, identify valuable use cases and build plans with clear milestones, owners and success measures. Drive execution across practice groups, business functions and regions, adapting the plan as you learn what works.
- Drive change in how lawyers work. Partner with lawyers and customer leadership to embed Harvey into everyday practice. Develop champions, address resistance and coordinate targeted training with Legal Product Specialists. Help customers turn successful individual use cases into repeatable ways of working across teams.
- Own your customer portfolio. Set account strategy and use adoption data, stakeholder feedback and business impact to assess progress and direct the next phase of work. Address risks early and lead the response to escalations, keeping customers informed and internal teams accountable for resolution.
- Drive retention and support growth. Conduct ongoing discovery to understand customer goals, decision criteria and stakeholder sentiment. Build the case for renewal through demonstrated value, address retention risks early and equip Sales to lead renewal discussions. Identify expansion opportunities grounded in customer needs and business impact.
- Lead cross-functional delivery. Bring together Legal Engineering, technical specialists, Product and Sales around a shared customer plan. Clarify responsibilities, manage dependencies and resolve blockers. Coordinate specialist contributions and ensure their work advances the broader account strategy. Translate customer needs and delivery lessons into product feedback and repeatable playbooks.
- Advise executives and align stakeholders. Build relationships with senior partners, General Counsel and innovation, technology and operations leaders. Lead discussions about investment and progress, align stakeholders with competing goals and manage difficult conversations when expectations or results shift.
Travel required: up to 25%.
What You Have
- Experienced background in asset management, banking or financial service management consulting, technology advisory, transformation delivery or strategic enterprise customer success, with direct responsibility for delivering complex client programs. Experience serving legal, financial services or professional services organizations is valuable.
- A track record of turning business goals into executable plans and managing multiple work streams through delivery, with clear ownership of timelines, stakeholder alignment and results.
- Experience helping organizations adopt new technology and change established ways of working. You understand that successful implementation requires both a working solution and people who use it.
- The ability to earn credibility with senior executives and work directly with end users, moving comfortably between strategic discussions and hands-on execution.
- Strong analytical and commercial judgment, with the ability to assess customer value, uncover renewal considerations and identify retention risks early.
- A collaborative approach and the judgment to prioritize across a demanding customer portfolio. You take initiative, work effectively through ambiguity and bring curiosity about AI and its practical applications.
What We Offer
- Ownership of AI implementation and transformation programs with some of the world’s leading legal and business organizations.
- The opportunity to build lasting customer relationships and see your work translate into measurable improvements over time.
- Close collaboration with product and specialist teams, with direct input into how Harvey’s technology and customer delivery approach evolve.
COMPENSATION RANGE
- $180,000-$210,000 OTE with an 80/20 split
DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES [HERE https://www.notion.so/harveyai/Harvey-Candidate-Privacy-Policies-319ac3fcdd7a803bb807d5094f249922].
#LI-BS1
Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai
Location: 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 Beneficial Deployments
Beneficial Deployments ensures AI reaches and benefits the communities that need it most. We partner with nonprofits, foundations, and mission-driven organizations to deploy Claude in education, global health, economic mobility, and life sciences — focusing on raising the floor for those who need it most.
About the Role
We're looking for an Applied AI Architect to join Beneficial Deployments, focused on helping public health, global health and humanitarian organizations get real value from Claude. You'll be the technical lead for partners such as public health agencies and ministries of health, the institutes and NGOs that support them, and humanitarian organizations working in crisis settings. You'll help them find where Claude makes a real difference, from disease surveillance and outbreak response to health data, communications and program delivery, design solutions that fit their data, privacy and procurement rules, and turn early pilots into lasting deployments. What works for one partner becomes something the whole field can use.
Responsibilities
Serve as the primary technical advisor to a portfolio of health partners from discovery through deployment, turning their priorities into scoped use cases with clear measures of success.
Design and demo solutions with Claude, the API, Claude Science and Claude Code across surveillance, outbreak response, data analysis and public communications.
Guide partners through security review, data governance and procurement, from national agencies to field operations.
Run workshops, trainings and tabletop exercises that build AI fluency across partner teams.
Build reusable assets (reference designs, connectors, prompt and eval templates) so one partner's work helps the next.
Spot patterns across partners, bring field insight back to Product and Research, and help partners measure what changed.
Travel to partner sites for workshops, technical deep dives and relationship building.
You Might Be a Good Fit If You Have
3+ years in customer-facing technical roles such as solutions architecture, sales engineering, forward-deployed engineering or technical consulting.
Experience working with public health agencies, ministries of health, global health or humanitarian organizations, or similarly complex public institutions, including how they buy, adopt, and govern technology.
A track record of making technology stick inside slow-moving organizations with many stakeholders.
Hands-on experience building with LLM APIs: you can prototype a working demo. You don't need to write production code.
Clear written and spoken communication across a broad audience. The ability to explain technical tradeoffs to epidemiologists, program leads, field teams and executives.
Patience with long buying cycles, a knack for knowing how to make them go smoothly, and real care for public benefit.
Comfort operating in ambiguity: you bring clarity to fuzzy problems, wear multiple hats and do whatever it takes to further the mission.
Bonus if you've worked on disease surveillance, outbreak response, health information systems or emergency operations.
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:
$240,000
—
$315,000 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.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
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
Workplace: Hybrid
WHY HARVEY
At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come.
This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched.
Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you.
At Harvey, the future of professional services is being written today — and we’re just getting started.
Role Overview
As a Majors Customer Success Manager, you’ll lead AI implementation, adoption and change management for Harvey’s largest customers, including leading law firms, Fortune 500 companies and asset managers. You’ll work directly with senior leaders and practicing lawyers to identify where AI can improve their work, turn those opportunities into implementation plans and lead the cross-functional effort to deliver results.
You’ll own the customer relationship end to end as the primary lead for a portfolio of strategic accounts, from initial deployment through ongoing adoption and renewal. This role combines the strategic depth of advisory work with responsibility for account health, measurable customer value and retention. You’ll drive retention by establishing measurable value, understanding customer needs and addressing barriers to continued investment, partnering with Sales throughout the customer lifecycle.
What You’ll Do
- Lead implementation and transformation programs. Assess customer goals and current workflows, identify valuable use cases and build plans with clear milestones, owners and success measures. Drive execution across practice groups, business functions and regions, adapting the plan as you learn what works.
- Drive change in how lawyers work. Partner with lawyers and customer leadership to embed Harvey into everyday practice. Develop champions, address resistance and coordinate targeted training with Legal Product Specialists. Help customers turn successful individual use cases into repeatable ways of working across teams.
- Own your customer portfolio. Set account strategy and use adoption data, stakeholder feedback and business impact to assess progress and direct the next phase of work. Address risks early and lead the response to escalations, keeping customers informed and internal teams accountable for resolution.
- Drive retention and support growth. Conduct ongoing discovery to understand customer goals, decision criteria and stakeholder sentiment. Build the case for renewal through demonstrated value, address retention risks early and equip Sales to lead renewal discussions. Identify expansion opportunities grounded in customer needs and business impact.
- Lead cross-functional delivery. Bring together Legal Engineering, technical specialists, Product and Sales around a shared customer plan. Clarify responsibilities, manage dependencies and resolve blockers. Coordinate specialist contributions and ensure their work advances the broader account strategy. Translate customer needs and delivery lessons into product feedback and repeatable playbooks.
- Advise executives and align stakeholders. Build relationships with senior partners, General Counsel and innovation, technology and operations leaders. Lead discussions about investment and progress, align stakeholders with competing goals and manage difficult conversations when expectations or results shift.
Travel required: up to 25%.
What You Have
- Experience in management consulting, technology advisory, transformation delivery or strategic enterprise customer success, with direct responsibility for delivering complex client programs. Experience serving legal, financial services or professional services organizations is valuable.
- A track record of turning business goals into executable plans and managing multiple workstreams through delivery, with clear ownership of timelines, stakeholder alignment and results.
- Experience helping organizations adopt new technology and change established ways of working. You understand that successful implementation requires both a working solution and people who use it.
- The ability to earn credibility with senior executives and work directly with end users, moving comfortably between strategic discussions and hands-on execution.
- Strong analytical and commercial judgment, with the ability to assess customer value, uncover renewal considerations and identify retention risks early.
- A collaborative approach and the judgment to prioritize across a demanding customer portfolio. You take initiative, work effectively through ambiguity and bring curiosity about AI and its practical applications.
What We Offer
- Ownership of AI implementation and transformation programs with some of the world’s leading legal and business organizations.
- The opportunity to build lasting customer relationships and see your work translate into measurable improvements over time.
- Close collaboration with product and specialist teams, with direct input into how Harvey’s technology and customer delivery approach evolve.
COMPENSATION RANGE
- $180,000-$210,000 OTE with an 80/20 split
DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES [HERE https://www.notion.so/harveyai/Harvey-Candidate-Privacy-Policies-319ac3fcdd7a803bb807d5094f249922].
#LI-GK1
Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai
Location: New York
WHY HARVEY
At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come.
This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched.
Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you.
At Harvey, the future of professional services is being written today — and we’re just getting started.
Role Overview
As a Majors Customer Success Manager, you’ll lead AI implementation, adoption and change management for Harvey’s largest customers, including leading law firms, Fortune 500 companies and asset managers. You’ll work directly with senior leaders and practicing lawyers to identify where AI can improve their work, turn those opportunities into implementation plans and lead the cross-functional effort to deliver results.
You’ll own the customer relationship end to end as the primary lead for a portfolio of strategic accounts, from initial deployment through ongoing adoption and renewal. This role combines the strategic depth of advisory work with responsibility for account health, measurable customer value and retention. You’ll drive retention by establishing measurable value, understanding customer needs and addressing barriers to continued investment, partnering with Sales throughout the customer lifecycle.
What You’ll Do
- Lead implementation and transformation programs. Assess customer goals and current workflows, identify valuable use cases and build plans with clear milestones, owners and success measures. Drive execution across practice groups, business functions and regions, adapting the plan as you learn what works.
- Drive change in how lawyers work. Partner with lawyers and customer leadership to embed Harvey into everyday practice. Develop champions, address resistance and coordinate targeted training with Legal Product Specialists. Help customers turn successful individual use cases into repeatable ways of working across teams.
- Own your customer portfolio. Set account strategy and use adoption data, stakeholder feedback and business impact to assess progress and direct the next phase of work. Address risks early and lead the response to escalations, keeping customers informed and internal teams accountable for resolution.
- Drive retention and support growth. Conduct ongoing discovery to understand customer goals, decision criteria and stakeholder sentiment. Build the case for renewal through demonstrated value, address retention risks early and equip Sales to lead renewal discussions. Identify expansion opportunities grounded in customer needs and business impact.
- Lead cross-functional delivery. Bring together Legal Engineering, technical specialists, Product and Sales around a shared customer plan. Clarify responsibilities, manage dependencies and resolve blockers. Coordinate specialist contributions and ensure their work advances the broader account strategy. Translate customer needs and delivery lessons into product feedback and repeatable playbooks.
- Advise executives and align stakeholders. Build relationships with senior partners, General Counsel and innovation, technology and operations leaders. Lead discussions about investment and progress, align stakeholders with competing goals and manage difficult conversations when expectations or results shift.
Travel required: up to 25%.
What You Have
- Experience in management consulting, technology advisory, transformation delivery or strategic enterprise customer success, with direct responsibility for delivering complex client programs. Experience serving legal, financial services or professional services organizations is valuable.
- A track record of turning business goals into executable plans and managing multiple workstreams through delivery, with clear ownership of timelines, stakeholder alignment and results.
- Experience helping organizations adopt new technology and change established ways of working. You understand that successful implementation requires both a working solution and people who use it.
- The ability to earn credibility with senior executives and work directly with end users, moving comfortably between strategic discussions and hands-on execution.
- Strong analytical and commercial judgment, with the ability to assess customer value, uncover renewal considerations and identify retention risks early.
- A collaborative approach and the judgment to prioritize across a demanding customer portfolio. You take initiative, work effectively through ambiguity and bring curiosity about AI and its practical applications.
What We Offer
- Ownership of AI implementation and transformation programs with some of the world’s leading legal and business organizations.
- The opportunity to build lasting customer relationships and see your work translate into measurable improvements over time.
- Close collaboration with product and specialist teams, with direct input into how Harvey’s technology and customer delivery approach evolve.
COMPENSATION RANGE
- $180,000-$210,000 OTE with an 80/20 split
DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES [HERE https://www.notion.so/harveyai/Harvey-Candidate-Privacy-Policies-319ac3fcdd7a803bb807d5094f249922].
#LI-GK1
Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai
Location: 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:
As an Applied AI team member at Anthropic, you will be a Pre-Sales architect focused on becoming a trusted technical advisor helping state and local government agencies understand the value of Claude and paint the vision on how they can successfully integrate and deploy Claude into their technology stack. You'll combine your deep technical expertise with customer-facing skills to architect innovative LLM solutions that address complex mission challenges while maintaining our high standards for safety and reliability.
Working closely with our Sales, Product, and Engineering teams, you'll guide customers from initial technical discovery through successful deployment. You'll leverage your expertise to help customers understand Claude's capabilities, develop evals, and design scalable architectures that maximize the value of our AI systems.
Responsibilities:
Partner with account executives to deeply understand customer requirements and translate them into technical solutions, ensuring alignment between business objectives and technical implementation
Serve as the primary technical advisor to enterprise customers throughout their Claude adoption journey, from discovery to initial evaluation through deployment. You will need to coordinate internally across multiple teams & stakeholders to drive customer success
Support customers building with Claude Code, the Claude API, and Claude for Enterprise
Create and deliver compelling technical content tailored to different audiences. You will need to be able to spread the gamut from technical deep dives for engineering & development teams up to business value focused conversations with executives
Guide technical architecture decisions and help customers integrate Claude effectively into their existing technology stack
Help customers develop evaluation frameworks to measure Claude's performance for their specific use cases
Identify common integration patterns and contribute insights back to our Product and Engineering teams
Travel frequently to customer sites for workshops, technical deep dives, and relationship building
Maintain strong knowledge of the latest developments in LLM capabilities and implementation patterns
You may be a good fit if you have:
Must have prior experience working with US federal, state, and/or local agencies
5+ years of experience in technical customer-facing roles such as Solutions Architect, Sales Engineer, or Technical Account Manager
Experience navigating complex buying cycles involving multiple stakeholders
Exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders to include C-suite executives, engineering & IT teams, and more
Strong technical communication skills with the ability to translate customer requirements between technical and business stakeholders
Experience designing scalable cloud architectures and integrating with enterprise systems
Familiar with Python
Familiarity with common LLM frameworks and tools or a background in machine learning or data science
Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities
A love of teaching, mentoring, and helping others succeed
Excellent communication and interpersonal skills, able to convey complicated topics in easily understandable terms to a diverse set of external and internal stakeholders. You enjoy engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities
Passion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems
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:
$275,000
—
$315,000 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.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
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 - United States
Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit
www.redditinc.com
.
Team Description
The Privacy and Compliance Engineering team is responsible for preparing Reddit’s platforms for evolving regulatory requirements. We’re building products that establish the foundation of trust in the Reddit platform, while partnering closely with teams across the company to ensure our platforms and features meet the highest standards. Engineers on this team will thrive in dynamic, ambiguous problem spaces and work across multiple domains and technology stacks.
Role Description
We’re hiring a GRC Software Engineer to build and improve the software that supports Reddit’s security and compliance programs. You will design, implement, and maintain integrations, data pipelines, scheduled workflows, and automated checks across cloud, identity, HR, finance, code, and ticketing systems. Working closely with engineering and business partners, you’ll translate requirements into reliable tools that surface issues early and reduce manual work. You’ll own projects from discovery through launch, make clear technical trade-offs, and establish sustainable support with engineering partners.
How You’ll Have Impact:
This role will make Reddit’s compliance programs more effective and scalable by building systems that help teams address requirements early and automate recurring assurance work. You’ll work with engineers and control owners to define clear requirements, deliver practical solutions, and follow through after launch. Your work will improve how controls operate, make evidence more timely and reliable, and surface gaps sooner. Success means dependable systems that teams continue to use, less manual work, faster remediation, and clearer visibility into risk.
What You’ll Do:
Own software projects from discovery through launch: work with partners to define the problem, agree on success measures, make technical trade-offs clear, deliver the solution, and follow through on results.
Lead efforts to automate evidence collection across key systems in scope for SOX and other compliance requirements. Work with control owners and system teams to define evidence requirements, build and validate integrations, monitor failures, and establish ongoing support.
Build and maintain integrations and scheduled workflows across cloud, identity, HR, finance, ticketing, version control, CI/CD, and GRC systems.
Use APIs, scripts, queries, and orchestration tools to collect, normalize, validate, and retain data from authoritative systems. Own authentication, data modeling, testing, monitoring, failure recovery, documentation, and maintenance.
Design data models that connect risks, controls, assets, owners, systems, and evidence across sources with different schemas, identifiers, permissions, and data quality.
Build automated checks that detect missing, stale, inconsistent, or out-of-policy data, and route actionable failures to the right owners.
Turn control requirements and audit requests into data specifications, testable checks, and exception logic. Partner with control owners to validate system scope and resolve gaps.
Build strong working relationships across Security, Engineering, Infrastructure, Product, Privacy, Legal, and Finance. Learn how their systems operate and deliver tools, monitoring, and runbooks they can rely on after launch.
Role Requirements:
7+ years of experience in security, compliance, automation, data integration, security engineering, or a related technical field.
Hands-on proficiency with Python, Go, or a comparable language and SQL, including writing, testing, reviewing, and maintaining code used by other people or operational workflows.
Experience building API-based integrations using REST APIs, webhooks or polling, authentication flows, pagination, rate limits, error handling, and structured data formats.
Experience building scheduled data workflows with an orchestrator such as Airflow and moving validated data between enterprise SaaS systems, databases, and cloud object storage.
Technical fluency with a major cloud platform and its identity, storage, logging, monitoring, and secrets-management services; GCP experience is helpful but not required.
Experience with version control, automated testing, code review, CI/CD, observability, secure credential handling, failure recovery, and the runbooks needed to support an integration after launch.
Practical knowledge of security and compliance controls, including how requirements translate into system design, evidence, testing, and remediation. Experience applying one or more relevant frameworks or regulatory requirements, such as SOC 2, ISO 27001, SOX ITGC, NIST CSF, EU DSA, or EU NIS 2.
Demonstrated ability to earn trust and influence without authority by listening carefully, making risk and technical trade-offs clear, reducing partner burden where possible, addressing concerns directly, and following through on commitments. You can independently own complex projects from discovery through launch and measurable results.
Benefits:
Comprehensive Healthcare Benefits and Income Replacement Programs
401k with Employer Match
Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
Family Planning Support
Gender-Affirming Care
Mental Health & Coaching Benefits
Flexible Vacation & Paid Volunteer Time Off
Generous Paid Parental Leave
Pay Transparency:
This job posting may span more than one career level.
In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit
https://www.redditinc.com/careers/
.
To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below.
The base salary range for this position is:
$190,800
—
$267,100 USD
In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews.
During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable. We will not sell your personal information or disclose it to any third party for their marketing purposes. We will delete any recording of your interview promptly after making a hiring decision. For more information about how we will handle your personal information, including our retention of it, please refer to our
Candidate Privacy Policy for Potential Employees and Contractors
.
Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve. Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.
Location: New York
Workplace: Hybrid
WHY HARVEY
At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come.
This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched.
Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you.
At Harvey, the future of professional services is being written today — and we’re just getting started.
ROLE OVERVIEW
As Harvey's first Content Designer, you'll shape how people understand, interact with, and trust our product. You'll lead content design across interfaces and AI responses, defining everything from terminology and interaction patterns to how Harvey expresses itself.
Working closely with product designers, engineers, PMs, and AI researchers, you'll bring clarity and consistency to experiences across the Harvey ecosystem. You'll lay the foundations for our content practice and develop the tools and guidance that help teams put content principles into practice as they design and ship.
We're looking for someone who combines strong writing craft with systems thinking and a clear point of view on AI experiences.
WHAT YOU'LL DO
- Define Harvey's voice, tone, and content principles across interfaces and AI responses.
- Lead content design of key experiences, from initial concept through polished execution.
- Develop AI-assisted tools and guidance that help teams apply content standards as they build.
- Champion a high design bar, helping the team make thoughtful, intentional decisions at every step.
WHAT YOU HAVE
- 8+ years (Staff) in content design, UX writing, or content strategy, with a portfolio that demonstrates your best work.
- Ability to translate complex concepts into clear, intuitive language for expert audiences.
- Deep understanding of voice, tone, and content systems, with a strong sense of writing craft.
- Ability to design AI experiences and use AI-assisted tools to scale content quality.
- Ability to move between content details and broader strategy, building a content practice while maintaining a high pace of execution and quality bar.
- Ability to clearly articulate system decisions and tradeoffs to designers, engineers, and cross-functional partners
- Strong opinions, loosely held, being comfortable challenging conventions and evolving best practices as the discipline changes
- Comfort operating in ambiguous problem spaces and bringing structure where it doesn't yet exist
- Excellent communication and storytelling skills to articulate content decisions and rationale.
COMPENSATION
$195,500- 264,500 USD
DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74.
#LI-MV1
Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai
Location: San Francisco
Workplace: Hybrid
WHY HARVEY
At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come.
This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched.
Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you.
At Harvey, the future of professional services is being written today — and we’re just getting started.
ROLE OVERVIEW
As Harvey's first Content Designer, you'll shape how people understand, interact with, and trust our product. You'll lead content design across interfaces and AI responses, defining everything from terminology and interaction patterns to how Harvey expresses itself.
Working closely with product designers, engineers, PMs, and AI researchers, you'll bring clarity and consistency to experiences across the Harvey ecosystem. You'll lay the foundations for our content practice and develop the tools and guidance that help teams put content principles into practice as they design and ship.
We're looking for someone who combines strong writing craft with systems thinking and a clear point of view on AI experiences.
WHAT YOU'LL DO
- Define Harvey's voice, tone, and content principles across interfaces and AI responses.
- Lead content design of key experiences, from initial concept through polished execution.
- Develop AI-assisted tools and guidance that help teams apply content standards as they build.
- Champion a high design bar, helping the team make thoughtful, intentional decisions at every step.
WHAT YOU HAVE
- 8+ years (Staff) in content design, UX writing, or content strategy, with a portfolio that demonstrates your best work.
- Ability to translate complex concepts into clear, intuitive language for expert audiences.
- Deep understanding of voice, tone, and content systems, with a strong sense of writing craft.
- Ability to design AI experiences and use AI-assisted tools to scale content quality.
- Ability to move between content details and broader strategy, building a content practice while maintaining a high pace of execution and quality bar.
- Ability to clearly articulate system decisions and tradeoffs to designers, engineers, and cross-functional partners
- Strong opinions, loosely held, being comfortable challenging conventions and evolving best practices as the discipline changes
- Comfort operating in ambiguous problem spaces and bringing structure where it doesn't yet exist
- Excellent communication and storytelling skills to articulate content decisions and rationale.
COMPENSATION
$195,500- 264,500 USD
DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74.
#LI-MV1
Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai
Location: San Francisco, CA | New York City, NY | Seattle, WA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the Role
Anthropic is hiring a People Services Partner, Compliance. People Services runs the day-to-day operations that keep the employee lifecycle moving, which includes making sure our processes and programs are compliant. We are looking for someone with a strong People Ops foundation, who is excited to take ownership of our existing compliance workstreams and build the program as the company grows.
This is a hands-on role where you will represent People Services in audits, manage our background check program, and prepare and file required reporting. You will work closely with partners across the company (including People Legal, People Systems, Payroll, Internal Audit, and our broader company Compliance team) to turn compliance requirements into clear, scalable processes.
Key responsibilities
Program management
Work with People Services to create and refine processes across onboarding and the employee lifecycle.
Manage our global background check program, which includes owning our vendor partnership.
Prepare for obligations that come with new locations, headcount thresholds, or new regulations, partnering with Legal to understand them and design solutions.
Manage an HR compliance calendar to track compliance programs and deadlines globally.
Proactively look for ways to streamline and automate the work in your scope, making compliance easy to navigate for our team and our partners.
Audits, reporting, and governance
Support internal and external audits by documenting our controls, gathering evidence, and walking auditors through our processes.
Collaborate with cross-functional partners on controls that touch multiple teams, ensuring clear roles and responsibilities within these processes.
Prepare and file required government reports, partnering with People Systems to build scalable reporting solutions.
Serve as the People Services point person on relevant policies, reviewing existing ones and collaborating with policy owners on new ones.
Minimum qualifications
Have worked on HR compliance and governance across multiple countries (including the United States)
Have represented People Operations in internal and external audits
Have prepared and filed required government reporting
Communicate clearly with partners, auditors, and employees, flexing your communication style for your audience
Enjoy navigating ambiguity and being the one to help drive clarity
Move quickly without sacrificing quality or introducing risk
Preferred qualifications
Have 6+ years working in HR/People Ops
Have experience building and leading an HR compliance program
Have experience scaling a global background check program
Have experience managing processes and data in Workday, including building custom Workday reports
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:
$235,000
—
$235,000 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.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
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: 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's Executive Briefing program brings senior leaders from our most strategic customers together with our spokespeople, product leaders, and researchers. As a Program Manager, Executive Briefings, you will run the program at one of our briefing centers and help build the global operating model that ensures an exceptional and consistent experience across the globe.
You will be the main program lead for your location and own briefings end to end: qualification and intake, agenda design, speaker selection, and day-of execution. You will set the objectives and design for each agenda and develop it jointly with Sales. You will also be the local account teams' go-to partner on how to use a briefing to move their most important opportunities forward.
You will manage the global workstream and set the standard every center follows, so customers get the same quality of briefing wherever they meet us. This is a highly cross-functional role. You will work with regional GTM leadership and the Office of the CCO on account selection and program strategy, with Product Marketing on content, with Solutions on technical deep-dives and demos, with Anthropic's executive bench on sponsorship and participation, and with Workplace, Security, and Revenue Operations on the experience and systems behind every briefing. You will be comfortable running every part of a briefing yourself and maintaining tight alignment with internal stakeholders.
Key responsibilities
Own the Executive Briefing program at your location: the local calendar, capacity planning, the request and intake process from Sales, and operating SLAs, applied against global criteria and regional allocation
Work with regional GTM leadership to decide which strategic accounts receive a briefing each quarter, hold the qualification bar, and proactively surface accounts that should be engaged
Lead discovery with account teams before each briefing to understand the customer's objectives, business context, and stage of evaluation, and turn that into a tailored agenda
Own agenda design and co-own agenda development with Sales for every briefing, including the narrative arc, discussion topics, speakers, and demos
Build and manage the speaker bench for your location: identify, source, and match speakers to briefings, run prep, and manage capacity so no one is over-asked
Own day-of orchestration and the customer experience standard at your center, in partnership with Workplace on logistics
Contribute to the playbooks, tooling, and best practices that let the program scale consistently across centers while allowing for regional nuance
Share intake and triage on a rotation across time zones so every request gets a decision within the defined SLA
Maintain one source of truth for criteria, lead times, and process so account teams get one answer
Own measurement and reporting for your center and contribute to global reporting on briefing volume, capacity and allocation, strategic-account coverage, and program-influenced pipeline and expansion
Onboard and coach briefing team members and contractors across locations
Minimum qualifications
Experience running executive briefings, customer events, or a comparable program for senior external audiences
Program management skills, including intake and prioritization, capacity planning, and managing multiple concurrent programs against SLAs
Experience designing agendas and facilitating discussions with C-level or other senior customer audiences
Experience building processes, playbooks, or tooling that help a program operate consistently
Ability to track, report on, and communicate program metrics such as volume, coverage, and pipeline influence
Strong written and verbal communication skills, with the ability to partner credibly with field leadership, executives, and internal subject matter experts
Work on site at your briefing center when briefings take place
Preferred qualifications
5+ years of experience building or scaling an executive briefing program, or a similar customer-facing program, at an enterprise technology company
Experience in a high-volume briefing environment
Experience with CRM and reporting tools such as Salesforce, and with connecting program activity to pipeline and expansion outcomes
Experience identifying and surfacing speakers for the speaker bench and managing speaker capacity across product, research, and executive teams
Experience working across time zones or across multiple sites to set one global standard
Experience onboarding or coaching new team members or contractors
Familiarity with AI products and how enterprises evaluate and adopt them
Interest in Anthropic's mission to build AI that is safe and beneficial
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.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
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
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for using AI in our application process.
УдалённоRemote, Canada; Remote, United States; The base salary range for this role’s listed level is currently for residents of the United States only
УдалённоleadГеография найма не уточнена
Munich, Germany
ГибридNew York
San Francisco, CA | New York City, NY
ГибридSan Francisco
New York
San Francisco, CA
УдалённоseniorRemote - United States
ГибридNew York
ГибридSan Francisco
San Francisco, CA | New York City, NY | Seattle, WA
London, UK; Share intake and triage on a rotation across time zones so every request gets a decision within the defined SLA; Experience working across time zones or across multiple sites to set one global standard