Location: Seoul
Workplace: Remote
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
Harvey's Legal Engineer - Product Specialist joins the LEPS team to serve as the face of Harvey in Korea, building trust with partners, counsel, and legal teams at one of Harvey's key global accounts and across the Korean legal market. This role sits within Harvey's post-sales organization and partners closely with Customer Success Managers and Account Executives to drive adoption, deepen utilization, and support long-term expansion and renewal. The Legal Product Specialist draws on Korean legal training and practice experience to develop consultative relationships with law firm partners, associates, innovation teams, and in-house counsel—advising them on how Harvey's AI solutions can enhance legal effectiveness and efficiency. They translate legal practice needs into actionable feedback for Product and Engineering while feeding Korean market insights back to the broader GTM organization. It is a rare opportunity to pioneer Harvey's presence in the Korean market and shape how a category-defining legal AI platform is adopted across one of Asia's most sophisticated legal systems.
WHAT YOU'LL DO
- Build trusted relationships with law firm and in-house legal teams in Korea by understanding their unique workflows and offering tailored guidance on how to incorporate Harvey's AI into their daily practice.
- Design and lead onboarding sessions, training workshops, and ongoing enablement programs that drive adoption and maximize the value of Harvey's platform for Korean-speaking legal professionals.
- Act as a strategic partner to Customer Success Managers and Account Executives to identify expansion opportunities and support renewal efforts through demonstrated impact and engagement.
- Proactively surface obstacles to adoption by engaging users with thoughtful questions and legal empathy, then develop and implement strategies to overcome them.
- Translate legal practice needs into actionable feedback for the product and engineering teams, helping to shape product development through the lens of Korean legal practice.
- Contribute to customer-facing content geared toward the Korean market (e.g., training materials, use case guides, FAQ resources) to ensure continued customer success across a range of practice areas.
WHAT YOU HAVE
- Korean legal qualification (변호사 자격) or equivalent with 3+ years of experience as a qualified lawyer at a top-tier Korean or international law firm.
- Fluency in Korean and English, with the ability to operate seamlessly across both languages in professional settings.
- Executive engagement skills and presence, with an ability to establish strong relationships with key decision-makers and build credibility at all levels.
- Outstanding presentation skills to both legal and executive audiences, whether impromptu on a whiteboard or using presentations and demos.
- Strong understanding of legal processes and challenges faced by legal professionals, with curiosity about AI's potential to transform the legal industry.
- Sales or customer-facing experience, including law firm business development and/or secondment, is a plus, as is experience directly managing law firm client matters and client relationships.
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-GE1
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: Bengaluru
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 Senior Software Engineer on the Core Infrastructure team at Harvey, you'll play a critical role in designing and building new infrastructure systems while equally scaling and strengthening our existing infrastructure. Our infrastructure is the foundation that powers every user interaction with Harvey — processing billions of prompt tokens and millions of daily requests across our global legal AI platform.
You'll work in an environment balanced between innovation — building new systems — and operational excellence, ensuring that Harvey remains resilient and efficient as it scales products, regions, customers, and usage. Your contributions will directly impact the reliability, scalability, and security of our platform as we serve the world's leading law firms and professional service providers.
This role is based in Bengaluru, India.
WHAT YOU'LL DO
- Design and build scalable, fault-tolerant infrastructure systems that power Harvey's AI platform across multiple cloud regions
- Own and evolve our multi-cloud infrastructure (Azure, GCP), including Kubernetes orchestration, networking, and container management
- Lead technical initiatives around observability, incident response, and operational excellence — building systems that enable rapid detection and resolution of issues
- Architect and optimize our distributed systems for reliability, including load balancing, quota management, and failover mechanisms
- Partner with Product Engineering and Security teams to ensure our infrastructure is an accelerant, not a constraint
- Drive infrastructure-as-code practices using tools like Terraform and Pulumi to enable reproducible, auditable deployments
- Mentor engineers and raise the technical bar across the organization through code reviews, design reviews, and technical leadership
Representative Projects
- Design and implement a next-generation model proxy architecture that routes millions of daily inference requests while maintaining model API compatibility and enabling seamless model integration
- Build distributed rate limiting and quota management systems using Redis-backed algorithms to handle bursty traffic patterns without degrading user experience
- Architect multi-region deployment strategies that meet strict data residency requirements for global enterprise customers
- Develop comprehensive observability infrastructure with granular SLA monitoring, burn rate alerts, and detailed token attribution for cost tracking
- Lead the evolution of our CI/CD pipelines to improve developer velocity while maintaining production stability
WHAT YOU HAVE
- 8+ years of experience in Core Backend Infrastructure Engineering or Backend Platform Engineering in a production environment
- Long track record building and scaling complex, large-scale distributed systems
- Deep proficiency with cloud infrastructure platforms (Azure preferred; GCP or AWS experience transfers well)
- Strong fluency in Infrastructure as Code (IaC) tools — Terraform, Pulumi, or CloudFormation
- Solid understanding of Kubernetes, container orchestration, networking, and cloud security at scale
- Experience with observability tools (Datadog, Sentry) and incident response practices (PagerDuty, Incident.io http://Incident.io)
- Strong programming skills in Python, Go, or similar languages
- Excellent problem-solving skills, a "spidey sense" of where things could go wrong, and a commitment to operational excellence
Nice to Have
- Experience building infrastructure for AI/ML workloads or high-throughput inference systems
- Background with distributed rate limiting, load balancing, or quota management systems
- Experience operating multi-tenant platforms with strict security and compliance requirements
- Track record of leading complex cross-functional projects and delivering measurable impact
ADDITIONAL INFORMATION
- Work eligibility: Must be authorized to work in India. Visa sponsorship is not available for this role.
PLEASE FIND THE APPLICANT PRIVACY FOR THIS REGION HERE https://www.harvey.ai/legal/india-applicant-privacy-notice.
#LI-AS2
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
Anthropic's Life Sciences team is building a research group focused on biological discoveries by combining AI with hands-on biological research. We're seeking a research scientist who combines deep chemistry knowledge with machine learning expertise to join the team. Our goal is to speed up progress in the life sciences by an order of magnitude, and this role puts that mission into practice. You'll be a computational chemist who knows reactions, synthesis, and medicinal chemistry in depth and has hands-on experience training and evaluating machine learning models. Above all, you'll build the reinforcement learning environments, datasets, and evaluations that teach Claude chemistry. Working alongside our bench chemists and AI researchers, you'll turn real chemistry problems and experimental data into training tasks and measure whether the models get better at them.
This role is fully on-site in the San Francisco Bay Area.
Key responsibilities
Design and build reinforcement learning environments for chemistry end to end, including task design, data curation, automated grading, and checks against shortcuts and data leakage
Design and source new experimental datasets, environments, and evaluations with our bench chemists, and external research and academic partners
Develop evaluations that measure model performance on real chemistry tasks, such as reaction outcome prediction, synthesis planning, structure elucidation, and compound design, and feed results back to research teams
Run and analyze training experiments with AI research teams, diagnose where models fail at chemistry, and prioritize what to build next
Ensure datasets and environments are high quality and well documented, including sources, train and test splits, and failure modes
Communicate findings clearly to chemistry, AI research, and life sciences audiences
Minimum qualifications
PhD in chemistry, computational chemistry, or a related field
Deep knowledge of organic and medicinal chemistry, including reactions, synthesis, and SAR, with experimental data as your ground truth
Strong Python skills and solid machine learning fundamentals, with hands-on experience training and evaluating models
Comfort navigating ambiguity and defining problems in a rapidly evolving research environment
Ability to work independently while collaborating effectively across cross-functional teams, with strong written and verbal communication skills
Preferred qualifications
Experience with reinforcement learning, large language models, or building evaluations and benchmarks
Track record of supporting drug discovery programs alongside medicinal and synthetic chemists
Experience curating chemistry datasets from the literature, patents, or lab notebooks, including reaction, ADMET, and spectroscopic data
Cheminformatics and molecular modeling skills, for example RDKit, docking, free energy calculations, or quantum chemistry
Hands-on synthetic or medicinal chemistry experience at the bench
Publications, patents, or open-source software demonstrating scientific impact
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:
$300,000
—
$320,000 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: Athens, Greece
We are seeking a
Semantics/Knowledge Graph Engineer
to support a complex platform built around RDF data models, SPARQL queries, and structured datasets. You will be responsible for understanding, maintaining, and evolving the semantic layer of the system, working closely with backend engineers and architects. This role suits a specialist who enjoys data modelling, semantics, and knowledge representation in real-world production systems.
What You'll Do:
Analyse and maintain
RDF/TTL data models
and vocabularies;
Develop, optimise, and maintain
SPARQL queries;
Support data ingestion, transformation, and validation workflows;
Ensure consistency and correctness of semantic data across the platform;
Collaborate with backend engineers to integrate semantic logic into application flows;
Assist in documenting semantic models, assumptions, and constraints;
Participate in troubleshooting data quality and reasoning issues.
Requirements
3+ years of experience
working with semantic or data-centric systems;
Strong knowledge of:
RDF, RDFS, OWL
SPARQL
Experience with:
Knowledge graphs or semantic interoperability platforms;
Data modelling and ontology design;
Comfortable working with structured data formats:
TTL, XML, JSON, CSV
Ability to analyse existing models and understand
implicit domain logic.
Nice-to-Have:
Experience with triplestores or graph databases;
Familiarity with EU data standards or interoperability frameworks;
Python scripting for data processing and/or Apache Airflow;
Experience in projects with regulatory or standards-driven constraints.
Benefits
We believe in rewarding talent and dedication. Here's what you can expect as part of our team:
Competitive full-time salary;
Private Health Coverage on the Company’s group program;
Flexible Working Hours;
Top-of-the-Line Tools;
Professional Development: Benefit from language courses, specialized training, and continuous learning opportunities;
Career Growth: Work with some of the most innovative and exciting specialists in the industry;
Dynamic Work Environment: Thrive in a setting that offers challenging goals, autonomy, and mentoring, fostering both personal and company growth.
If you want an exciting challenge, work with some of the coolest technologies, and enjoy your time doing it, then join us! Submit your detailed CV in English, quoting reference: (
S/KGE/11/26
).
You may also consider all our other open vacancies by visiting the career section of our website (
www.eurodyn.com
) and follow us on Twitter (@EURODYN_Careers) and LinkedIn.
EUROPEAN DYNAMICS (ED)
(
www.eurodyn.com
) is a leading European Software, Information, and Communication Technologies company, operating internationally (Athens, Brussels, Luxembourg, Copenhagen, Berlin, Stockholm, London, Nicosia, Valetta, Vienna, Den Haag, Hong Kong, etc.) The company employs over 1200 engineers, IT experts, and consultants (around 3% PhD, 41% MSc, and 54% BSc). We design and develop software applications using integrated, state-of-the-art technology. Our current IT projects have a value exceeding 300 million EURO. EUROPEAN DYNAMICS is a renowned supplier of IT services to European Union Institutions, international organizations, European Agencies, and national government Administrations in 40 countries and 4 continents.
As part of our dedication to the diversity of our workforce, we are committed to Equal Employment Opportunity without regard for race, colour, national origin, ethnicity, gender, disability, sexual orientation, gender identity, or religion.
EUROPEAN DYNAMICS (ED)
adheres to the General Data Protection Regulation principles by applying its Privacy Policy as published at
www.eurodyn.com/privacy
. By submitting an application to this position and by sharing your personal data with ED, you acknowledge and accept its Policy and authorize ED to process your personal data for the purposes of the company's recruitment opportunities, in line with the Policy.
Location: Athens, Greece
We are seeking a
Semantic / Data Engineer
to support a complex platform built around RDF data models, SPARQL queries, and structured datasets. You will be responsible for understanding, maintaining, and evolving the semantic layer of the system, working closely with backend engineers and architects. This role suits a specialist who enjoys data modelling, semantics, and knowledge representation in real-world production systems.
What You'll Do:
Analyse and maintain
RDF/TTL data models
and vocabularies;
Develop, optimise, and maintain
SPARQL queries;
Support data ingestion, transformation, and validation workflows;
Ensure consistency and correctness of semantic data across the platform;
Collaborate with backend engineers to integrate semantic logic into application flows;
Assist in documenting semantic models, assumptions, and constraints;
Participate in troubleshooting data quality and reasoning issues.
Requirements
3+ years of experience
working with semantic or data-centric systems;
Strong knowledge of:
RDF, RDFS, OWL
SPARQL
Experience with:
Knowledge graphs or semantic interoperability platforms;
Data modelling and ontology design;
Comfortable working with structured data formats:
TTL, XML, JSON, CSV
Ability to analyse existing models and understand
implicit domain logic.
Nice-to-Have:
Experience with triplestores or graph databases;
Familiarity with EU data standards or interoperability frameworks;
Python scripting for data processing and/or Apache Airflow;
Experience in projects with regulatory or standards-driven constraints.
Benefits
We believe in rewarding talent and dedication. Here's what you can expect as part of our team:
Competitive full-time salary;
Private Health Coverage on the Company’s group program;
Flexible Working Hours;
Top-of-the-Line Tools;
Professional Development: Benefit from language courses, specialized training, and continuous learning opportunities;
Career Growth: Work with some of the most innovative and exciting specialists in the industry;
Dynamic Work Environment: Thrive in a setting that offers challenging goals, autonomy, and mentoring, fostering both personal and company growth.
If you want an exciting challenge, work with some of the coolest technologies, and enjoy your time doing it, then join us! Submit your detailed CV in English, quoting reference: (
SDE/11/26
).
You may also consider all our other open vacancies by visiting the career section of our website (
www.eurodyn.com
) and follow us on Twitter (@EURODYN_Careers) and LinkedIn.
EUROPEAN DYNAMICS (ED)
(
www.eurodyn.com
) is a leading European Software, Information, and Communication Technologies company, operating internationally (Athens, Brussels, Luxembourg, Copenhagen, Berlin, Stockholm, London, Nicosia, Valetta, Vienna, Den Haag, Hong Kong, etc.) The company employs over 1200 engineers, IT experts, and consultants (around 3% PhD, 41% MSc, and 54% BSc). We design and develop software applications using integrated, state-of-the-art technology. Our current IT projects have a value exceeding 300 million EURO. EUROPEAN DYNAMICS is a renowned supplier of IT services to European Union Institutions, international organizations, European Agencies, and national government Administrations in 40 countries and 4 continents.
As part of our dedication to the diversity of our workforce, we are committed to Equal Employment Opportunity without regard for race, colour, national origin, ethnicity, gender, disability, sexual orientation, gender identity, or religion.
EUROPEAN DYNAMICS (ED)
adheres to the General Data Protection Regulation principles by applying its Privacy Policy as published at
www.eurodyn.com/privacy
. By submitting an application to this position and by sharing your personal data with ED, you acknowledge and accept its Policy and authorize ED to process your personal data for the purposes of the company's recruitment opportunities, in line with the Policy.
Location: Boston, MA; San Francisco, CA | Seattle, WA | New York City, NY | Washington, DC
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 an AI safety and research company working to build reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our customers and society as a whole. As an Enforcement Analyst focused on Agentic Alignment, you will play a crucial role in identifying and investigating harmful and unexpected behavior by models, and make enforcement decisions accordingly. You'll work closely with a suite of cross-functional teams, within and outside of Safeguards, including: Policy, Threat Intel, Engineering, Research, and Transparency. Your work will be essential in maintaining Anthropic's commitment to safe and beneficial AI as Claude takes on more autonomous work.
Important context for this role: In this position you may be exposed to and engage with explicit content spanning a range of topics, including those of a sexual, violent, or psychologically disturbing nature. There is also an on-call responsibility across the Policy and Enforcement teams.
Key responsibilities
Review and investigate potential instances of Agentic Misalignment, working from transcripts, tool-use traces, and code
Triage cases by severity and urgency and share through the appropriate channels
Help operationalize review pipelines for agentic cases, translating leads from detection outputs and investigations into structured review workflows that scale
Make enforcement decisions under the Usage Policy, applying it consistently to novel agentic scenarios and across surfaces, and documenting the reasoning behind each decision
Assess cyber-related agentic activity, such as scanning, exploitation attempts, credential misuse or malicious code to determine its real-world harm potential
Write clear, well-evidenced case write-ups for audiences ranging from enforcement peers to senior leadership
Identify patterns and trends across cases, and close the loop between enforcement outcomes and upstream improvements by feeding findings back to policy, detection and research teams to improve policies, classifiers and model behavior
Maintain rigorous documentation of enforcement decisions, review logic and precedents to build institutional knowledge
Collaborate with Threat Intelligence, Research, Engineering and Policy partners so that detection coverage keeps pace with how agentic misuse and misaligned behavior evolve
Use AI systems, including Claude, to accelerate your own investigations: summarizing long transcripts, analyzing code, querying data and building lightweight tooling
Contribute to regular reports on agentic harm trends and enforcement outcomes
Minimum qualifications
Can read and understand code (for example Python, JavaScript or shell scripts) well enough to follow what happened and why it matters
Have a background in security, cyber threat intelligence, or a similar technical field that lets you understand how cyber harm happens and judge its severity
Have experience in trust and safety, enforcement, investigations or a related field, translating ambiguous policy questions and facts into defensible enforcement decisions and clear written findings
Have conducted structured investigations, building a case from first signal to final finding and knowing when the evidence is strong enough to act on
Have supported or contributed to formal enforcement actions, including case documentation, evidence packaging and escalation coordination
Write clearly and concisely, and can present complex findings to stakeholders across Legal, Policy and Engineering, including non-technical audiences
Have sound judgment about when a case needs escalation, and the resilience to work with difficult content
Preferred qualifications
Have demonstrated use of AI systems to accelerate your own work, and are excited to keep finding new ways to do so
Are comfortable working with large volumes of data, from long transcripts, logs and traces to complex, multi-table datasets, and surfacing the behavioral patterns that matter
Are curious about how AI agents behave, and enjoy investigating behavior no one has categorized before, building approaches where established playbooks don’t exist
Have familiarity with AI safety and alignment, and current debates about the risks of increasingly autonomous 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:
$245,000
—
$285,000 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 - Canada
What We’re Building
Honeycomb is a service for the near and present future, defining observability and raising expectations of what developer tools can do! We’re working with well known companies like HelloFresh, Slack, LaunchDarkly, and Vanguard and more across a range of industries. This is an exciting time in our trajectory, we’ve closed Series D funding, scaled past the 200-person mark, and were named to Forbes’ America’s Best Startups of 2022 and 2023!
If you want to see what we’ve been up to, please check out these
blog posts
and Honeycomb.io
press releases
.
Who We Are
We come for the impact, and stay for the culture! We’re a talented, opinionated, passionate, fiercely inclusive, and responsible group of bees. We have conviction and we strive to live
our values
every day. We want our people to do what they truly love amongst a team of highly talented (but humble) peers.
How We Work
We are a fully distributed company, which means we believe it is not where you sit, but how you deliver that matters most. We invest in our people and care about how you orient to our culture and processes. At the same time we imbue a lot of trust, autonomy, and accountability from Day 1. #LI-Remote
Little more about the team:
You'll be the product manager for our Canvas and Agentic AI teams - the teams building Honeycomb's AI-powered investigation experience. Canvas lets engineers use natural language to query, visualize, and understand their production systems. We're pushing well past chat: we're building Skills (pre-configured workflows that encode domain expertise into repeatable, executable actions), Auto-Investigations (agent-driven investigations that kick off before a human gets paged), and a rearchitected Canvas that's both interactive and collaborative.
You'll work in a tight triad with engineering and design leads, owning the roadmap for how AI shows up in Honeycomb, from the product UI to our MCP server. You'll partner with our Director of AI Strategy, Research & Development teams, and our customer-facing teams to stay grounded in what customers actually need while pushing toward something meaningfully different from what exists today.
This is a role for someone who can hold both execution and ambiguity: shipping production features while navigating a product space where the right answers are still emerging.
What you’ll do in the role:
Define AI product strategy in service of Honeycomb's vision
Synthesize AI trends, customer needs, and technical capabilities into clear strategic recommendations
Help the product organization understand where and how AI creates genuine customer value vs. where it's hype
Identify emerging observability challenges created by AI adoption (e.g., LLM drift, prompt regression, low-context generated code)
Make informed bets about which AI technologies and approaches warrant investment
Conduct research that bridges technology and customer reality
Build deep understanding of how customers are adopting AI in their engineering workflows
Identify patterns across customer conversations that signal future market needs
Stay current with AI/ML developments (RAG, fine-tuning, agentic systems, etc.) and translate implications for observability
Engage with technical communities, researchers, and early adopters to spot trends before they go mainstream
Enable AI innovation across the product portfolio
Partner with product teams to identify high-value opportunities to leverage AI capabilities
Provide guidance on AI approaches, trade-offs, and best practices without centralizing all decisions
Help teams understand how their work fits into our broader AI strategy and how to leverage shared capabilities
Synthesize cross-portfolio learnings and socialize what's working (and what isn't)
Evangelize the AI-observability connection
Articulate Honeycomb's point of view on AI observability both internally and externally
Help customers understand how observability needs evolve as they adopt AI
Contribute to thought leadership through writing, speaking, and community engagement
Build credibility with technical audiences who care deeply about how we use AI, not just that we use it
What you’ll bring to the role:
Proven AI product experience
5+ years in product management with at least 1+ year shipping AI/ML-powered products
Track record of taking AI features from concept to customer impact, including things that didn't work
Deep understanding of how engineering teams actually build, deploy, and operate AI systems (not just theoretical knowledge)
Familiarity with current AI/ML techniques and the judgment to know when they're applicable vs. overhyped
Strategic thinking with customer empathy
Ability to synthesize disparate signals (research, customer feedback, technical trends) into coherent strategy
Comfort operating with ambiguity and making decisions without perfect information
Pattern recognition across conversations—spotting what customers aren't yet saying clearly
Strong judgment about when to say "no" or "not yet" despite exciting technology
Technical credibility without needing to be the expert
Enough technical depth to have earned respect from engineers and architects
Genuine curiosity about how things work, paired with humility about what you don't know
Ability to evaluate trade-offs between different AI approaches (RAG vs. fine-tuning, model selection, etc.)
Understanding of observability principles and why they matter in production systems
Communication and collaboration skills
Excellent written and verbal communication—can explain complex ideas clearly to varied audiences
Ability to influence without authority across product, engineering, and go-to-market teams
Comfort presenting to customers, executives, and technical audiences
Collaborative mindset that elevates others' work rather than centralizing control
Curiosity and learning orientation
Demonstrated ability to stay current in fast-moving domains (AI is evolving weekly, not yearly)
Intellectual humility—you're more interested in learning than being right
Excitement about the intersection of AI technology and real customer problems
Energized rather than exhausted by the pace of change in AI
Base Salary based on level of experience
$272,739
—
$320,829 CAD
What you'll get when you join the Hive:
A stake in our success - generous equity with employee-friendly stock program
It’s not about how strong of a negotiator you are - our pay is based on transparent levels relative to experience
Time to recharge with unlimited PTO
A distributed-first mindset and culture (really!)
Home office, co-working, and internet stipend
Full benefits coverage for employees, with additional coverage available for dependents
Up to 16 weeks of paid parental leave, regardless of path to parenthood
Annual development allowance
And much more...
Please note we cannot currently sponsor or support visa transfers at this time.
Additionally, in compliance with applicable law, all persons hired will be required to verify identity and eligibility to work.
Phishing and Recruitment Scam Warning:
We take your security seriously. Please be aware that recruitment scams are increasingly common and scammers may create email addresses or websites to impersonate Honeycomb employees. To help protect you:
All communications will come from an
@honeycomb.io
email address
We occasionally work with external recruiting agencies. These partners will use legitimate business email addresses—
never personal accounts like Gmail or Yahoo
.
Our recruiting process will
never
ask you to provide financial or sensitive personal information, including but not limited to:
Social security or tax identification numbers
Credit card numbers
Bank account information
Diversity & Accommodations:
We're committed to building a diverse, inclusive, and equitable workplace—where people of all backgrounds, identities, experiences, and abilities are welcomed, valued, and supported. We recognize that there is no single path to success and embrace nontraditional career journeys and diverse perspectives as key to building stronger, more innovative teams.
We strive to ensure an inclusive experience throughout every stage of our hiring process and are happy to provide reasonable accommodations as needed. If you require accommodations or accessible formats at any point during our hiring process, please let your recruiter know.
As an equal opportunity employer our hiring process is designed to put you at ease and help you show your best work. If there’s anything we can do to improve your experience, we’re always open to feedback.
Privacy Notice:
If you apply for a job at Honeycomb and your application is unsuccessful (or you withdraw from the process or decline our offer), Honeycomb will retain your information after your application for a period of time in accordance with local laws. We retain this information for various reasons, including in case we face a legal challenge in respect of a recruitment decision, to consider you for other current or future jobs at Honeycomb, and to help us better understand, analyze and improve our recruitment processes.
For more information regarding our privacy practices please see the
Honeycomb Privacy Notice
.
If you do not want us to retain your information, or want us to update it, please contact
privacy@honeycomb.io
. Please note, however, that we may retain some information if required by law or as necessary to protect ourselves from legal claims.
Location: Beograd, Serbia
Workplace: hybrid
About the role
We’re looking for a highly autonomous Senior Data & ML Engineer who wants to be the true owner of how data works for the teams they support, delivering solutions completely end-to-end, from initial scoping and design through to delivery, implementation, and full business adoption.
Operating with full autonomy, you will work directly with both commercial stakeholders (Product, Finance, Operations, Compliance, and Marketing) and engineering teams. You will translate complex needs into well-defined and well-modelled data products, using scalable processes and pipelines, ensuring those solutions are trusted, documented, and actively used to drive business value.
Beyond foundational data architecture, you will support and lead machine learning engineering efforts. You will lead machine learning engineering efforts by transitioning predictive models into production. This involves building the infrastructure, automated MLOps pipelines, and serving architectures required to deploy, monitor, and maintain machine learning solutions at scale.
What You’ll Be Doing
Data Engineering and Platform
Design, build, and maintain data pipelines and transformations on Databricks using Python, PySpark, and SQL.
Deploy, operationalize, and monitor machine learning models (MLOps) in production environments.
Build and maintain data marts as the primary source of truth for key business domains.
Apply data modelling practices (e.g., dimensional modelling, medallion architecture) to maintain data consistency and reusability.
Implement data quality checks, monitoring, and alerting.
Optimise pipeline performance and cost-efficiency.
Lead and actively contribute to engineering standards and process improvements across the data team.
Ownership and Stakeholder Management
Act as the primary data partner for specific business areas, understanding their processes, goals, and pain points.
Deliver end-to-end solutions, managing scoping, discovery, design, delivery, user adoption, and iteration.
Gather and translate business requirements into technical solutions.
Communicate with engineering peers and commercial stakeholders to define priorities and manage trade-offs.
Identify opportunities where data or machine learning can improve decisions, efficiency, or customer outcomes.
Enablement and Self-Service
Build and maintain datasets that power reporting and dashboards in Preset.
Onboard and support users on Preset to promote data self-sufficiency.
Promote data practices, including data definitions, documentation, and governance.
What You’ll Need to Be Successful
5+ years of experience as a Data/ML Engineer, with a track record of independently owning data/ML solutions from scoping to adoption.
Proficiency in Python, SQL, and PySpark/Spark.
Experience with modern data platforms, such as Databricks (Delta Lake, Unity Catalog, MLflow, workflows).
Stakeholder management skills, with the ability to navigate commercial and engineering discussions, manage expectations, and drive cross-functional decisions.
Data modelling skills and experience designing data marts for analytics and reporting.
Experience building production pipelines with orchestration, testing, monitoring, and version control.
Experience with BI tools (e.g., Preset, Tableau, Metabase, Power BI) and data usability principles.
Demonstrated accountability for project outcomes and commercial impact.
Clear, structured communication in English.
Nice to Have
Experience in ML Engineering, including deploying machine learning models to production, maintaining MLOps pipelines, and integrating models into data platforms.
Experience in fintech, financial services, or payments, particularly regarding transaction, reconciliation, settlement, or regulatory reporting data.
Experience with sensitive or regulated data and an understanding of data privacy and governance (e.g., GDPR).
Experience with infrastructure as code (Terraform/Tofu), cloud platforms (AWS, Azure, or GCP), and data engineering CI/CD.
Experience mentoring engineers or analysts.
Interest in applying AI tools to improve data engineering productivity and quality.
Why Join Paysend?
Make a Global Impact:
Join a company that is transforming how people and businesses move money around the world. Your work will contribute to products and services that help millions of customers stay connected globally.
Own Meaningful Outcomes:
We empower our people to take ownership, make decisions, and drive real impact. You'll have the opportunity to shape solutions, challenge the status quo, and see the results of your work firsthand.
Grow with Us:
As a fast-growing global fintech, we offer opportunities to learn, develop new skills, take on new challenges, and advance your career across functions and geographies.
Collaborate with Exceptional People:
Work alongside talented colleagues from diverse backgrounds and disciplines who are united by a shared ambition to build, innovate, and deliver great outcomes for our customers.
Move Fast and Make Things Happen:
We value action, curiosity, and continuous improvement. You'll be part of a culture that encourages experimentation, embraces change, and focuses on delivering meaningful results.
Be Part of Our Journey:
We're building the future of the global money movement. Join us at an exciting stage of growth where your ideas, expertise, and contributions can help shape what's next.
-Проектирование и разработка кроссплатформенных мобильных приложений на React Native с использованием TypeScript. -Участие в проектировании архитектуры приложений: выбор стейт-менеджера, структура навигации, слои приложения.
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 the role
We are seeking an Enterprise Account Executive, Industries – Manufacturing to lead Anthropic’s go-to-market in Taiwan from our Singapore hub. You will bring Claude to Taiwan’s leading high-tech manufacturers in semiconductors, electronics, and the AI hardware supply chain, helping them apply AI across engineering, operations, supply chain, and corporate functions. You will own the full sales cycle with C-suite and senior technical stakeholders, working with Product, Engineering, Applied AI, and Partnerships to shape solutions that fit the market. As one of Anthropic’s first commercial presences covering Taiwan, you will also help define our regional strategy and build the foundation for long-term growth, in a way that reflects Anthropic’s mission to ensure the world safely makes the transition through transformative AI.
Key responsibilities
Meet and exceed revenue targets by winning new enterprise accounts and expanding existing ones, while landing flagship references across Taiwan’s semiconductor, electronics, and broader manufacturing sectors
Build and execute a territory plan that reflects Taiwan’s manufacturing landscape, including its buying behavior, regulatory environment, and data residency expectations
Lead consultative sales with C-suite and senior technical leaders, positioning AI as a driver of business transformation
Translate Claude’s technical capabilities into clear business value for manufacturing use cases
Run technical discovery with engineering leaders and speak credibly about security, IP protection, and deployment options with customers whose designs and process data are their most sensitive assets
Partner with Product, Engineering, Applied AI, and Partnerships to design tailored solutions and support complex deals
Build co-sell motions with hyperscaler and system integrator partners, including joint customer engagements and marketplace procurement, to extend reach across the territory
Identify new use cases and feed customer and market insights back into the product roadmap
Represent Anthropic with customers, partners, and industry stakeholders in Taiwan, including conversations about the safe and responsible use of AI
Minimum qualifications
10+ years in enterprise sales, business development, or account management, including selling to semiconductor, electronics, or other manufacturing customers in Taiwan
Deep understanding of Taiwan’s high-tech manufacturing ecosystem, including how leading companies organize engineering, manufacturing, and supply chain functions, and where AI creates measurable value
Track record of closing complex, multi-stakeholder enterprise deals
Existing commercial network among Taiwan-based enterprises
Fluency in Mandarin and English, with strong written and verbal communication and presentation skills
Strong commercial judgment and the ability to work independently in a fast-moving, early-stage market
Based in or willing to relocate to Singapore, with eligibility to work there and willingness to travel frequently to Taiwan
Bachelor’s degree in a related field or equivalent experience
Preferred qualifications
Experience selling AI/ML, cloud, data platforms, or enterprise SaaS into manufacturing, semiconductor, electronics, or industrial sectors
Experience co-selling with hyperscaler, channel, or SI partners
Familiarity with regional data residency, AI governance, IP protection, and enterprise procurement requirements
Interest in or experience with advanced AI systems and their safe development
Understanding of Taiwan’s competitive and sovereign AI market, including hyperscaler presence, government-backed local models, and manufacturers building their own models
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, 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 Product Counsel, you will be a hands-on legal partner to the teams building Claude for consumers and businesses. You'll work across Claude's apps, subscriptions, growth programs and enterprise offerings, moving to wherever the need is greatest. You'll learn from experienced product lawyers, get close to the product quickly, and take on more ownership as you go. This is a generalist role for someone who wants range, likes a fast pace, and is ready to do the routine work and the novel work with the same care.
Key responsibilities
Partner with Product, Engineering, Design and other cross-functional teams to give clear, practical legal guidance from early ideas through launch
Review product launches across Claude's consumer and enterprise offerings, spotting issues early and helping teams find a path forward
Advise on subscriptions, pricing, promotions, billing and other growth programs, including consumer protection and marketing rules
Support enterprise and regulated-industry products on topics such as admin controls, customer commitments and enterprise readiness
Draft and review user-facing terms, disclosures, in-product copy and marketing claims
Pull in privacy, commercial, IP, safety and other specialists, then return one integrated answer to your product partners
Build guides, templates and AI-powered workflows so routine questions get answered quickly and the team can focus on novel ones
Pick up new areas as priorities shift, and help with incidents and escalations when they come up
Minimum qualifications
Hold a law degree (JD, LLB, or equivalent) and meet the local licensing requirements to work as in-house counsel where you'll be based
At least 4 years of relevant legal experience, with exposure to technology, consumer or regulated products
Experience advising business or product teams directly, not only other lawyers
Working knowledge of at least two of: consumer protection, privacy, advertising and marketing law, technology transactions, IP, or regulated industries
Curiosity about how AI products work, and the ability to pick up technical concepts quickly
A habit of making a clear recommendation, even with incomplete information
Comfort moving between assignments as priorities change, with no job too big or too small
Clear, concise writing that non-lawyers can act on
Openness to feedback and a track record of improving quickly
Experience using AI tools in your legal work, or a strong interest in learning to do so
Empathy and a service orientation, with a real commitment to Anthropic's mission
Preferred qualifications
In-house product counsel experience, or a secondment with a product team
Experience with subscription businesses, promotions, or consumer billing
Experience supporting enterprise SaaS or regulated customers such as healthcare or financial services
Experience building playbooks, self-serve guidance or legal automation
Application Deadline:
6pm PT on Friday November 13, 2026. We encourage all interested and qualified applicants to submit their materials before this date to ensure full consideration.
Role-specific policy:
For this role, we expect all staff to be able to work from our San Francisco office at least 3 days a week, though we encourage you to apply even if you might need some flexibility for an interim period of time.
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$265,000
—
$335,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
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: Boston, MA; San Francisco, CA | Seattle, WA | New York City, NY | Washington, DC
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 Safeguards team plays a critical role in ensuring our AI systems are deployed safely, responsibly, and in line with our values.
As an Incident Manager, you will manage Safeguards incidents involving our AI systems from declaration through closure. You will assess severity, bring in the right people from Legal, Communications, Policy, Threat Intelligence, Security, Engineering, and research teams, keep leadership informed, and see follow-up work through. You will also oversee the Safeguards Enforcement on-call queue on a rotating basis, and help build and scale the incident response program, including runbooks, post-incident reviews, and automation of routine work.
Important context for this role: in this position you may be exposed to and engage with explicit content spanning a range of topics, including those of a violent, sexual, or psychologically disturbing nature. This role also includes after-hours and weekend incident coverage on a rotating basis.
Key responsibilities
Serve as incident commander for Safeguards incidents from declaration through closure
Assess what qualifies as an incident, propose severity, and coordinate responders across Legal, Communications, Policy, Threat Intelligence, Security, Engineering, and research teams
Keep everyone working from the same facts by tracking input from each team, establishing what is known, what has changed, and what is still open, and sending regular updates that executives and partner teams rely on
Make sure Legal, Communications, and Public Policy are consulted before decisions that need them, and coordinate any external notifications
Run post-incident reviews, assign action items to named owners, and track them through closure
Oversee the on-call queue during your rotation as the first responder for urgent requests and escalations to Safeguards Enforcement
Triage each request, resolve what you can, route the rest to the owning team, and recognize when a request is the start of an incident
Take part in after-hours and weekend incident coverage on a rotating basis
Scope and deliver projects that improve the incident response program, such as on-call automation, incident readiness, and post-incident reviews and metrics
Draft and maintain runbooks and standard operating procedures
Work with Safeguards engineers to automate or reroute requests by writing the decision rules and testing the result
Maintain the incident record and the metrics that show leadership how the program is performing
Minimum qualifications
Experience running incidents or urgent escalations from start to finish in trust and safety, security, platform integrity, crisis management, or a comparable field, and readiness to lead high-severity incidents with support
Hands-on experience with incidents where someone was abusing or misusing a product or platform, such as account compromise, fraud, or coordinated malicious activity
Ability to make clear decisions under time pressure, record your reasoning, and recognize when a decision belongs to Legal, Policy, or leadership
Ability to write short, accurate updates that an executive can act on and that hold up to legal and external scrutiny
Experience coordinating people across many functions who do not report to you, securing their commitments, and following through on them
Experience improving an operational process on your own initiative, and the ability to tell which steps need a person and which can be automated
Willingness to do hands-on queue work as a regular part of the job, and to treat it as a source of information about what is breaking
Ability to participate in after-hours and weekend incident coverage on a rotating basis
Preferred qualifications
Experience joining an incident response function early and helping write runbooks and review processes
Experience with incidents involving AI systems
Experience with the enforcement steps that follow an incident, such as account actions, law enforcement referrals, or user and customer notifications
Experience working with threat intelligence or security investigation teams during an incident
Experience with regulatory or external incident reporting and disclosure
Experience running an on-call rotation or support escalation queue, including setting and measuring response targets
Experience using AI tools to automate triage, summaries, or routine decisions, with checks on quality
Working knowledge of SQL or similar tools for analyzing incident and queue data
Experience designing and facilitating tabletop exercises
Genuine interest in AI safety and responsible technology development
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$245,000
—
$285,000 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, California
Workplace: Hybrid
ABOUT SENTRY
Software runs the world and the pace is faster than ever. Sentry helps developers fix errors and performance issues before users notice, so teams can spend less time firefighting and more time building.
Trusted by 200,000+ organizations, Sentry is today’s application monitoring standard and our team is building its AI-native future.
ABOUT THE ROLE
We're looking for an experienced engineering leader to own one of the most critical areas within Platform: the runtime and stateful systems Sentry runs on. You'll lead multiple engineering teams and Staff engineers responsible for OLTP and OLAP databases, real-time compute and stream processing, blob storage, and distributed caching.
These systems power Sentry's products, including Seer, and are mission-critical to the business. When they perform well, every product team moves faster. When they don't, the whole company feels the impact.
You'll set the technical vision across these systems, lead significant architectural changes, and develop the engineering leaders and teams responsible for building and operating them. This role requires someone who brings deep technical judgment, thinks strategically, and has a track record of driving complex engineering initiatives from concept through execution.
You'll have the opportunity to shape both the technical direction and organizational growth of a critical part of Sentry's platform as our products and infrastructure continue to evolve.
This is a hybrid role based in the San Francisco Bay Area, with an expectation of working from our San Francisco office three days per week.
IN THIS ROLE YOU WILL
- Lead multiple engineering teams and Staff engineers responsible for the runtime and stateful systems supporting Sentry, Seer, and the products built on top of them.
- Set the technical vision and strategy across multiple systems, identifying opportunities to evolve our architecture as the business scales.
- Drive significant architectural changes and technical initiatives, making informed tradeoffs around scalability, reliability, performance, cost, and complexity.
- Provide technical leadership across teams, working closely with senior engineers to evaluate architectural decisions, challenge assumptions, and establish technical direction.
- Own the execution and operational excellence of mission-critical systems, ensuring teams deliver reliable, scalable, and high-performing platform components.
- Build and develop a strong engineering organization, including hiring, mentoring, and growing engineering managers and senior technical leaders.
- Foster a culture of engineering excellence, technical accountability, and continuous improvement.
- Partner across Platform, Infrastructure, and Product to align priorities, navigate ambiguity, and deliver complex, cross-functional initiatives.
- Anticipate evolving product and infrastructure needs, identifying opportunities to build new platform capabilities and improve existing systems.
YOU'LL LOVE THIS JOB IF YOU
- Enjoy solving complex distributed systems problems and have strong opinions about architecture, backed by experience and sound technical judgment.
- Thrive in roles where you're equally responsible for technical direction, execution, and developing engineering leaders.
- Like taking ownership of ambiguous technical challenges, establishing a clear strategy, and bringing teams together to execute.
- Are passionate about building large-scale systems where reliability, performance, and efficiency directly impact the business.
- Enjoy partnering with senior engineers, challenging technical assumptions, and helping teams make thoughtful architectural decisions.
- Take pride in building high-performing teams, developing future leaders, and raising the engineering bar.
- Want to shape the runtime foundation supporting Sentry's products and AI capabilities for years to come.
QUALIFICATIONS
- 12+ years of experience in backend, platform, or infrastructure engineering, with significant experience designing and operating large-scale distributed systems.
- Director-level engineering management experience, or equivalent senior engineering leadership experience overseeing multiple teams at comparable scale and complexity.
- Deep technical expertise in at least one of the following domains:
- OLTP databases
- OLAP databases
- Real-time compute and stream processing
- Blob/object storage
- Distributed caching
- Demonstrated experience driving significant architectural changes, including evaluating technical tradeoffs, establishing direction, and leading implementation.
- Strong technical judgment and the ability to engage deeply in architectural discussions across multiple distributed systems domains.
- Proven track record of leading complex, cross-functional engineering initiatives from strategy through execution, with measurable technical or business impact.
- Experience hiring, developing, and leading engineering managers and senior technical talent.
- Strong communication and organizational leadership skills, with the ability to articulate technical concepts, influence senior stakeholders, and align teams around a shared strategy.
- Experience operating mission-critical infrastructure with a strong understanding of reliability, scalability, performance, and operational efficiency.
The base salary range that Sentry reasonably expects to pay for this position is $300,000 to $450,000 USD, plus an annual performance bonus of up to 20% of base salary. A successful candidate’s actual base salary amount will be determined by a variety of relevant factors including, without limitation, the candidate’s work location, education, work and other relevant experience, skills, and job-related knowledge. A successful candidate will be eligible to participate in Sentry’s employee benefit plans/programs applicable to the candidate’s position (including incentive compensation, equity grants, paid time off, and group health insurance coverage). See Sentry Benefits https://sentry.io/careers/ for more details about the Company’s benefit plans/programs.
EQUAL OPPORTUNITY AT SENTRY
Sentry is committed to providing equal employment opportunities to its employees and candidates for employment regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, or other legally-protected characteristic. This commitment includes the provision of reasonable accommodations to employees and candidates for employment with physical or mental disabilities who require such accommodations in order to (a) perform the essential functions of their jobs, or (b) seek employment with Sentry. We strive to build a diverse team, with an inclusive culture where every teammate can thrive. Sentry is an open-source company because we believe that everyone, everywhere, should have the ability and tools to make great software. Software should be accessible. That starts with making our industry accessible.
If you need assistance or an accommodation due to a disability, you may contact us at accommodations@sentry.io.
Want to learn more about how Sentry handles applicant data? Get the details in our Applicant Privacy Policy https://sentry.io/careers/applicantprivacy/.
Location: Remote
Workplace: Remote
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
Harvey ships product every week, and every release changes what our customers, our support specialists, and our AI Support agent need to know. Today that knowledge lives across fragmented surfaces, and the gap between what's shipped and what's documented shows up directly in ticket volume, resolution time, and the quality of answers customers get.
The CX Knowledge Specialist owns the source of truth: the articles, troubleshooting guides, and product knowledge that specialists and our AI Support agent answer from. You'll consolidate that knowledge into one well-structured foundation built for both people and AI, keep it accurate as the product moves, and use ticket, search, and agent data to decide what to fix next.
You'll work alongside our Enablement Specialists, who turn that knowledge into training and get the team ready for each launch. This is a hands-on role for a strong writer and systems thinker who wants to build the knowledge layer an AI-first support organization runs on.
WHAT YOU’LL DO
- Audit today's fragmented content surfaces: inventory and tag what exists, flag what's duplicate or stale, and migrate it into one knowledge foundation.
- Own the knowledge base: product support articles, troubleshooting guides, how-tos, and product best practices that specialists and the AI Support agent rely on.
- Structure knowledge for both humans and AI. Apply taxonomy, metadata, and templates consistently, and write articles that retrieve and chunk cleanly for the AI Support agent as well as for specialists.
- Keep knowledge current through every release. Track what Product ships, and update or create the affected articles before launch so they're ready for the Enablement Specialists' training and for the AI Support agent.
- Close knowledge gaps at the source by owning the feedback loop. Triage reports of inaccurate, missing, or buried content from downstream teams, then update the source material.
- Mine ticket signals, search logs, and agent escalations to find missing content, stale articles, and areas with high deflection potential, then prioritize fixes.
- Build AI-assisted workflows for drafting, refreshing, and detecting stale content (prompts, automations, review queues) so knowledge scales without adding headcount.
- Run review cycles, ownership assignments, versioning, and archiving so content stays accurate as the product changes weekly.
- Serve as the day-to-day contact for SMEs in Product, Engineering, AI Support, and GTM Enablement to get content reviewed, validated, and adopted.
WHAT YOU HAVE
- 5+ years of experience in knowledge management, support operations, technical writing, or content operations.
- Hands-on experience with knowledge base platforms (Zendesk, Notion, or similar), including structuring, migrating, and maintaining content at scale.
- Comfortable using LLMs in your daily workflow, and able to speak concretely to how you've used them to write, maintain, or improve content.
- A systems thinker who likes structure, and a strong writer who can turn complex technical or legal-product details into clear, retrievable content.
- Comfortable operating at Harvey's pace, where the product changes weekly and content needs to keep up without waiting for a perfect process.
- Uses data (ticket trends, search behavior, QA findings) to decide what to write or fix next, rather than working from a static backlog.
- Builds strong working relationships with cross-functional SMEs quickly, and can get content reviewed and adopted without direct authority.
COMPENSATION
$88,000 - $132,000 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-CG1
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
Harvey ships product every week, and every release changes what our customers, our support specialists, and our AI Support agent need to know. Today that knowledge lives across fragmented surfaces, and the gap between what's shipped and what's documented shows up directly in ticket volume, resolution time, and the quality of answers customers get.
The CX Knowledge Specialist owns the source of truth: the articles, troubleshooting guides, and product knowledge that specialists and our AI Support agent answer from. You'll consolidate that knowledge into one well-structured foundation built for both people and AI, keep it accurate as the product moves, and use ticket, search, and agent data to decide what to fix next.
You'll work alongside our Enablement Specialists, who turn that knowledge into training and get the team ready for each launch. This is a hands-on role for a strong writer and systems thinker who wants to build the knowledge layer an AI-first support organization runs on.
WHAT YOU’LL DO
- Audit today's fragmented content surfaces: inventory and tag what exists, flag what's duplicate or stale, and migrate it into one knowledge foundation.
- Own the knowledge base: product support articles, troubleshooting guides, how-tos, and product best practices that specialists and the AI Support agent rely on.
- Structure knowledge for both humans and AI. Apply taxonomy, metadata, and templates consistently, and write articles that retrieve and chunk cleanly for the AI Support agent as well as for specialists.
- Keep knowledge current through every release. Track what Product ships, and update or create the affected articles before launch so they're ready for the Enablement Specialists' training and for the AI Support agent.
- Close knowledge gaps at the source by owning the feedback loop. Triage reports of inaccurate, missing, or buried content from downstream teams, then update the source material.
- Mine ticket signals, search logs, and agent escalations to find missing content, stale articles, and areas with high deflection potential, then prioritize fixes.
- Build AI-assisted workflows for drafting, refreshing, and detecting stale content (prompts, automations, review queues) so knowledge scales without adding headcount.
- Run review cycles, ownership assignments, versioning, and archiving so content stays accurate as the product changes weekly.
- Serve as the day-to-day contact for SMEs in Product, Engineering, AI Support, and GTM Enablement to get content reviewed, validated, and adopted.
WHAT YOU HAVE
- 5+ years of experience in knowledge management, support operations, technical writing, or content operations.
- Hands-on experience with knowledge base platforms (Zendesk, Notion, or similar), including structuring, migrating, and maintaining content at scale.
- Comfortable using LLMs in your daily workflow, and able to speak concretely to how you've used them to write, maintain, or improve content.
- A systems thinker who likes structure, and a strong writer who can turn complex technical or legal-product details into clear, retrievable content.
- Comfortable operating at Harvey's pace, where the product changes weekly and content needs to keep up without waiting for a perfect process.
- Uses data (ticket trends, search behavior, QA findings) to decide what to write or fix next, rather than working from a static backlog.
- Builds strong working relationships with cross-functional SMEs quickly, and can get content reviewed and adopted without direct authority.
COMPENSATION
$88,000 - $132,000 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-CG1
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
Harvey ships product every week, and every release changes what our customers, our support specialists, and our AI Support agent need to know. Today that knowledge lives across fragmented surfaces, and the gap between what's shipped and what's documented shows up directly in ticket volume, resolution time, and the quality of answers customers get.
The CX Knowledge Specialist owns the source of truth: the articles, troubleshooting guides, and product knowledge that specialists and our AI Support agent answer from. You'll consolidate that knowledge into one well-structured foundation built for both people and AI, keep it accurate as the product moves, and use ticket, search, and agent data to decide what to fix next.
You'll work alongside our Enablement Specialists, who turn that knowledge into training and get the team ready for each launch. This is a hands-on role for a strong writer and systems thinker who wants to build the knowledge layer an AI-first support organization runs on.
WHAT YOU’LL DO
- Audit today's fragmented content surfaces: inventory and tag what exists, flag what's duplicate or stale, and migrate it into one knowledge foundation.
- Own the knowledge base: product support articles, troubleshooting guides, how-tos, and product best practices that specialists and the AI Support agent rely on.
- Structure knowledge for both humans and AI. Apply taxonomy, metadata, and templates consistently, and write articles that retrieve and chunk cleanly for the AI Support agent as well as for specialists.
- Keep knowledge current through every release. Track what Product ships, and update or create the affected articles before launch so they're ready for the Enablement Specialists' training and for the AI Support agent.
- Close knowledge gaps at the source by owning the feedback loop. Triage reports of inaccurate, missing, or buried content from downstream teams, then update the source material.
- Mine ticket signals, search logs, and agent escalations to find missing content, stale articles, and areas with high deflection potential, then prioritize fixes.
- Build AI-assisted workflows for drafting, refreshing, and detecting stale content (prompts, automations, review queues) so knowledge scales without adding headcount.
- Run review cycles, ownership assignments, versioning, and archiving so content stays accurate as the product changes weekly.
- Serve as the day-to-day contact for SMEs in Product, Engineering, AI Support, and GTM Enablement to get content reviewed, validated, and adopted.
WHAT YOU HAVE
- 5+ years of experience in knowledge management, support operations, technical writing, or content operations.
- Hands-on experience with knowledge base platforms (Zendesk, Notion, or similar), including structuring, migrating, and maintaining content at scale.
- Comfortable using LLMs in your daily workflow, and able to speak concretely to how you've used them to write, maintain, or improve content.
- A systems thinker who likes structure, and a strong writer who can turn complex technical or legal-product details into clear, retrievable content.
- Comfortable operating at Harvey's pace, where the product changes weekly and content needs to keep up without waiting for a perfect process.
- Uses data (ticket trends, search behavior, QA findings) to decide what to write or fix next, rather than working from a static backlog.
- Builds strong working relationships with cross-functional SMEs quickly, and can get content reviewed and adopted without direct authority.
COMPENSATION
$88,000 - $132,000 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-CG1
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 looking for a Communications Lead to own external communications for the Claude Platform, our API. The Claude Platform is how many of our customers put Claude to work, and this role shapes how that work is understood beyond Anthropic: from flagship product launches to the steady cadence of capability releases and developer-facing news.
You'll sit on the Product Communications team and work day to day with the Platform product and engineering teams, Product Marketing, and Developer Relations.
You should understand how developers and enterprises actually build with APIs and be comfortable engaging with developer tools and hold a clear point of view on what makes a product land.
Key responsibilities
Own communications for the Claude Platform end to end: capability releases, product updates, and the steady cadence of developer-facing news
Build and maintain strong relationships with the journalists, newsletter writers, and creators covering AI platforms, enterprise software, and the API economy
Prepare Platform leaders to be effective spokespeople for press, podcasts, panels, and the smaller moments in between
Partner with Product and Engineering to align external narratives with how these products are sold and supported, and surface customer feedback back to the teams who can act on it
Work across press, social, owned, and community channels, with the judgment to know which one carries a given moment and when to coordinate more than one at once
Minimum qualifications
Experience in communications, PR, or product marketing, including meaningful time on platform, API, developer, or enterprise products
An understanding of both developer culture and enterprise buying, and the judgment to read timing and tone when the conversation around AI gets noisy
Strong instincts for which product moments deserve the spotlight and which don't, and genuine curiosity about what makes a launch land
A demonstrated ability to operate with high agency and low ego, with a bias to action
Preferred qualifications
8-10 years of experience in communications, PR, or product marketing
Communications experience at a developer platform, API-first, or enterprise software company
Existing relationships with reporters and analysts covering AI platforms, enterprise tech, or the developer ecosystem
Experience managing communications for AI or ML products
Are very online: you follow the right channels, know what's moving through Hacker News and developer social chatter, and catch things early
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$265,000
—
$295,000 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
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
We are investing in our owned social channels to grow share of voice and tell a clearer, more connected company story across LinkedIn, X, Instagram and YouTube. We need someone to take direct ownership of X and run it day to day, while also maintaining consistent social performance data analysis across all of our owned channels.
This is a hands-on social strategy role for someone who knows how to build an interesting, credible and active presence on X. You will also work with the Social Manager to turn channel and audience data into clear recommendations about what Harvey should create, publish, test, stop and scale. The goal is a steady feedback loop between how our audience behaves, what our content strategy is and how our creative gets made.
WHAT YOU'LL DO
OWN X STRATEGY AND EXECUTION
- Own Harvey's X strategy, programming and daily execution.
- Develop a distinctive voice and a clear role for Harvey on the platform.
- Create posts built for X, not LinkedIn content with the formatting changed.
- Find proactive, reactive and real-time opportunities for Harvey to join relevant conversations.
- Support product launches, research, events, partnerships, customer stories and company announcements on X.
- Build recurring formats and programming that give people a reason to come back.
- Write and edit copy that is clear, sharp and right for the platform.
- Monitor replies, mentions and relevant conversations.
- Work with the Social Content and Community Manager on engagement and response coverage.
- Support founder, executive and employee amplification where it makes sense.
- Use sound judgment in moments that carry brand, reputational or customer sensitivity.
- Track changes to X and adjust our approach as the platform evolves.
MANAGING CROSS-CHANNEL INSIGHTS AND OPTIMIZATION
- Work with Social Manager and Social Content and Community Manager to pull weekly and monthly performance analysis across X, LinkedIn, Instagram and YouTube.
- Collaborate with the social team to go beyond surface metrics and explain what actually drove performance.
- Identify patterns across format, topic, audience, timing, creative approach and distribution.
- Help turn findings into specific programming and creative recommendations.
- Work with third party analytics tools to track follower growth, reach, engagement, clicks, sentiment and other channel-specific signals.
- Analyze performance during major launches, events and campaigns utilizing third party analytics and channel analytics.
- Work with Content Operations on data accuracy, UTMs, reporting processes and dashboards.
- Bring audience and performance insight into quarterly strategy and planning.
PUT SOCIAL LISTENING AND COMPETITIVE INTELLIGENCE TO WORK
- Review owned and third party findings on legal AI conversations, share of voice and competitor activity.
- Separate meaningful signals from routine noise.
- Connect listening and competitive insights with channel performance data to build a fuller picture of what is working.
- Translate audience questions, competitor moves and emerging conversations into programming and creative recommendations.
- Write concise readouts for Social, Marketing and company leadership.
- Flag opportunities and risks early enough for the team to act on them.
SUPPORT THE BROADER SOCIAL TEAM
- Partner closely with the Social Manager on channel strategy, campaign planning and editorial priorities.
- Help translate company priorities into programming for each platform.
- Bring performance insight into the creative briefing process.
- Support social coverage during major events and launches.
- Collaborate with Content, Communications, Product Marketing, Customer Engagement and Harvey Creative Studio.
- Help build repeatable processes without adding unnecessary approval layers.
- Do the work yourself while also improving how the team makes decisions.
WHAT YOU HAVE
- 5+ years of experience in social strategy, social media, audience development, digital publishing or a related field.
- Deep knowledge of X and a track record of growing or reshaping a meaningful brand presence there.
- Strong editorial judgment and the ability to write sharp copy that fits the platform.
- Experience running an active social channel in a fast-moving environment.
- Strong analytical skills and comfort working with social performance data.
- The ability to explain why content performed the way it did, not just report the numbers.
- Experience using social listening, competitive analysis and share-of-voice data to inform strategy.
- A habit of turning data into specific creative and programming recommendations.
- Experience designing social tests and evaluating the results honestly.
- Familiarity with social publishing, analytics and listening platforms.
- Good instincts for real-time content, reputational risk and sensitive moments.
- Experience presenting insights to senior marketing or company leaders.
- Excellent communication skills and a collaborative way of working.
- Comfort making good calls with incomplete information and shifting priorities.
- Genuine interest in legal technology, AI and how professional work is changing.
You do not need to be a data scientist. We care about analytical fluency, curiosity and the ability to tell a clear story with data, combined with strong social instincts.
Helpful but not required: Experience in B2B technology, media, professional services, legal or another complex industry.
COMPENSATION
$112,000 - $154,000 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-LT1
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
ГибридseniorBengaluru
San Francisco, CA
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