Location: 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 manages one of the largest and fastest-growing infrastructure fleets in the industry — spanning multiple accelerator families, cpu families and clouds. The Capacity Engineering team is responsible for making sure all our infrastructure resources are accounted for, well-utilized, and efficiently allocated. We own the data, tooling, and operational systems that let Anthropic plan, measure, and maximize utilization across first-party and third-party compute.
As an engineer on Capacity Engineering, you will build the production systems that power this work: data pipelines that ingest and normalize telemetry from heterogeneous cloud environments, observability tooling that gives the org real-time visibility into fleet health, and performance instrumentation that measures how efficiently every major workload uses the hardware it’s running on. You will be expected to write production-quality code every day, operate alongside Kubernetes-native infrastructure at meaningful scale, and directly influence decisions around one of Anthropic’s largest areas of spend.
You’ll collaborate closely with research engineering, infrastructure, inference, and finance teams. The work requires someone who can move between data engineering, systems engineering, and observability with comfort — and who thrives in a high-autonomy, high-ambiguity environment.
This is a pipeline role feeding four areas.
Depending on your background and business priority, you’ll focus primarily in one, but the boundaries are fluid and the problems overlap:
Data platform
Pipelines that ingest occupancy and utilization telemetry from Kubernetes clusters, normalize billing and usage across cloud providers, and serve the BigQuery tables the rest of the org queries against. Correctness, completeness, and latency are the job, not a footnote. Consumers range from research engineers to finance to leadership, so it's product work as much as engineering: defining schema contracts, making data discoverable, and figuring out what people actually need.
Planning
Knowing what the fleet has, where it's going, and what's in the way. Making the state of the fleet legible and actionable in real time: cluster health tooling, capacity planning platforms, alerting on occupancy drops and allocation problems, and systemic fixes to scheduling and fragmentation. Kubernetes operations on one side, cross-team coordination on the other.
Efficiency
Measuring and improving how effectively every major workload uses the hardware it runs on. Instrumenting utilization across training, inference, and eval systems, building benchmarking infrastructure, establishing per-config baselines, and working directly with system-owning teams to close the gaps. The metric has to be good enough that the team on the hook for it agrees with the number.
Attribution and forecasting
Connecting what the fleet costs to what the business is doing with it. Reconciling CSP billing exports against vendor telemetry and internal systems with mismatched schemas, attributing spend to the workloads and teams that generate it, and turning inference demand signals and research roadmaps into a defensible compute plan. Efficiency metrics have to survive contact with finance: stripped of pure demand and unit-price effects, reproducible month over month, and legible to a CFO.
Key responsibilities
Build the planning and allocation stack — the tools leadership uses to allocate capacity, teams use to plan against their allocations, and the scheduler enforces. Cross-region and cross-provider placement, guardrails, queueing, occupancy KPIs.
Drive the efficiency programs: stranding and rightsizing, unused capacity recovery, and job-level utilization across training, inference, and eval. Establish per-config baselines and work with system-owning teams to close the gaps. Utilization improvements are worth enormous sums at our scale.
Own attribution and forecasting — reconcile billing across ten-plus providers against telemetry and internal systems, attribute spend to the workloads that generate it, and turn demand signals and research roadmaps into a defensible compute plan and supply pipeline.
Build the data platform underneath all of it: pipelines ingesting occupancy, utilization, and cost from a rapidly diversifying fleet into BigQuery, with real ownership of completeness, latency SLOs, and gap detection. Every new provider is a net-new integration.
Operate Kubernetes-native systems at scale — collection agents, workload labeling, and the taint/reservation/scheduling behavior that determines what capacity is actually usable.
Treat the output as a product, not a pipeline. Gather your own requirements, define schema contracts, and design for consumers ranging from research engineers to a CFO — including on-call and SLOs, because these surfaces are load-bearing for the company.
What you bring
A strong track record building and operating production systems. This is a hands-on engineering role with a devops flavor.
Python and SQL at production quality. Most pipeline code is Python; the presentation layer is BigQuery SQL, including table-valued functions and views. Both need to be idiomatic, well-tested, and maintainable.
Deep experience with at least one major cloud provider (Amazon Web Services, Google Cloud, or Microsoft Azure) and its operations
Experience with observability tooling stack, including Prometheus, PromQL, and Grafana, including writing recording rules and building monitoring that engineering teams rely on.
Ability to gather your own requirements and work across organizational boundaries in an ambiguous environment with limited direction.
Preferred qualifications
Experience with capacity planning, resource management, or cost attribution systems at a hyperscaler or in a large-scale machine learning environment. Time spent in product engineering and developer experience absolutely counts here.
Scheduling and packing efficiency experience, or profiling-driven optimization of large distributed workloads.
Multi-cloud data ingestion experience, especially normalizing billing exports, reservation APIs, on-demand capacity reservations, commitments, and vendor telemetry from providers with different billing arrangements.
Total cost of ownership and forecasting experience, including decomposing whether infrastructure growth is causal or correlated with business drivers.
Accelerator infrastructure familiarity. GPU metrics (DCGM), TPU utilization, Trainium power and utilization metrics, or experience with machine learning training and inference systems at the hardware level.
Experience building internal data products with self-service access, schema contracts, API serving, documentation, and discoverability. Not just pipelines, but thinking about how the data gets consumed.
Storage efficiency, retention, and lifecycle program experience at exabyte scale.
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$320,000
—
$485,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: New York City, NY
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the Role
Anthropic manages one of the largest and fastest-growing infrastructure fleets in the industry — spanning multiple accelerator families, cpu families and clouds. The Capacity Engineering team is responsible for making sure all our infrastructure resources are accounted for, well-utilized, and efficiently allocated. We own the data, tooling, and operational systems that let Anthropic plan, measure, and maximize utilization across first-party and third-party compute.
As an engineer on Capacity Engineering, you will build the production systems that power this work: data pipelines that ingest and normalize telemetry from heterogeneous cloud environments, observability tooling that gives the org real-time visibility into fleet health, and performance instrumentation that measures how efficiently every major workload uses the hardware it’s running on. You will be expected to write production-quality code every day, operate alongside Kubernetes-native infrastructure at meaningful scale, and directly influence decisions around one of Anthropic’s largest areas of spend.
You’ll collaborate closely with research engineering, infrastructure, inference, and finance teams. The work requires someone who can move between data engineering, systems engineering, and observability with comfort — and who thrives in a high-autonomy, high-ambiguity environment.
This is a pipeline role feeding four areas.
Depending on your background and business priority, you’ll focus primarily in one, but the boundaries are fluid and the problems overlap:
Data platform
Pipelines that ingest occupancy and utilization telemetry from Kubernetes clusters, normalize billing and usage across cloud providers, and serve the BigQuery tables the rest of the org queries against. Correctness, completeness, and latency are the job, not a footnote. Consumers range from research engineers to finance to leadership, so it's product work as much as engineering: defining schema contracts, making data discoverable, and figuring out what people actually need.
Planning
Knowing what the fleet has, where it's going, and what's in the way. Making the state of the fleet legible and actionable in real time: cluster health tooling, capacity planning platforms, alerting on occupancy drops and allocation problems, and systemic fixes to scheduling and fragmentation. Kubernetes operations on one side, cross-team coordination on the other.
Efficiency
Measuring and improving how effectively every major workload uses the hardware it runs on. Instrumenting utilization across training, inference, and eval systems, building benchmarking infrastructure, establishing per-config baselines, and working directly with system-owning teams to close the gaps. The metric has to be good enough that the team on the hook for it agrees with the number.
Attribution and forecasting
Connecting what the fleet costs to what the business is doing with it. Reconciling CSP billing exports against vendor telemetry and internal systems with mismatched schemas, attributing spend to the workloads and teams that generate it, and turning inference demand signals and research roadmaps into a defensible compute plan. Efficiency metrics have to survive contact with finance: stripped of pure demand and unit-price effects, reproducible month over month, and legible to a CFO.
Key responsibilities
Build the planning and allocation stack — the tools leadership uses to allocate capacity, teams use to plan against their allocations, and the scheduler enforces. Cross-region and cross-provider placement, guardrails, queueing, occupancy KPIs.
Drive the efficiency programs: stranding and rightsizing, unused capacity recovery, and job-level utilization across training, inference, and eval. Establish per-config baselines and work with system-owning teams to close the gaps. Utilization improvements are worth enormous sums at our scale.
Own attribution and forecasting — reconcile billing across ten-plus providers against telemetry and internal systems, attribute spend to the workloads that generate it, and turn demand signals and research roadmaps into a defensible compute plan and supply pipeline.
Build the data platform underneath all of it: pipelines ingesting occupancy, utilization, and cost from a rapidly diversifying fleet into BigQuery, with real ownership of completeness, latency SLOs, and gap detection. Every new provider is a net-new integration.
Operate Kubernetes-native systems at scale — collection agents, workload labeling, and the taint/reservation/scheduling behavior that determines what capacity is actually usable.
Treat the output as a product, not a pipeline. Gather your own requirements, define schema contracts, and design for consumers ranging from research engineers to a CFO — including on-call and SLOs, because these surfaces are load-bearing for the company.
What you bring
A strong track record building and operating production systems. This is a hands-on engineering role with a devops flavor.
Python and SQL at production quality. Most pipeline code is Python; the presentation layer is BigQuery SQL, including table-valued functions and views. Both need to be idiomatic, well-tested, and maintainable.
Deep experience with at least one major cloud provider (Amazon Web Services, Google Cloud, or Microsoft Azure) and its operations
Experience with observability tooling stack, including Prometheus, PromQL, and Grafana, including writing recording rules and building monitoring that engineering teams rely on.
Ability to gather your own requirements and work across organizational boundaries in an ambiguous environment with limited direction.
Preferred qualifications
Experience with capacity planning, resource management, or cost attribution systems at a hyperscaler or in a large-scale machine learning environment. Time spent in product engineering and developer experience absolutely counts here.
Scheduling and packing efficiency experience, or profiling-driven optimization of large distributed workloads.
Multi-cloud data ingestion experience, especially normalizing billing exports, reservation APIs, on-demand capacity reservations, commitments, and vendor telemetry from providers with different billing arrangements.
Total cost of ownership and forecasting experience, including decomposing whether infrastructure growth is causal or correlated with business drivers.
Accelerator infrastructure familiarity. GPU metrics (DCGM), TPU utilization, Trainium power and utilization metrics, or experience with machine learning training and inference systems at the hardware level.
Experience building internal data products with self-service access, schema contracts, API serving, documentation, and discoverability. Not just pipelines, but thinking about how the data gets consumed.
Storage efficiency, retention, and lifecycle program experience at exabyte scale.
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$320,000
—
$485,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
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: South Windsor, United States
Keller Executive Search is recruiting for a profitable, growing industrial manufacturer serving processing and manufacturing markets. Our client sells application-specific physical products through OEM, reseller, and end-user channels. Increased production capacity has created a strong platform for profitable commercial growth.
This is a high-impact opportunity for a hands-on B2B seller who wants autonomy, direct access to senior leadership, and the chance to shape a sales function. You will personally prospect, open accounts, expand existing relationships, visit customer facilities, and manage opportunities from application discovery and quoting through closing and follow-through. Success means generating growth while protecting margin and customer profitability.
The role also supports a planned leadership succession, providing time to learn established customer relationships, technical applications, and pricing practices. Initially, this is an individual-contributor and functional-lead position with no direct reports. It offers a credible path to Sales Director and the opportunity to build a sales team as results support further investment.
Key Responsibilities
Generate new business through targeted prospecting, field activity, trade shows, and disciplined follow-up.
Expand existing accounts through additional products, applications, and customer locations.
Own the full sales cycle, including discovery, site assessment, quoting, negotiation, order handoff, and follow-through.
Build relationships with OEMs, resellers, distributors, end users, and key accounts.
Conduct plant visits, investigate applications, take accurate measurements, recommend specifications, and train customers.
Apply sound pricing, discount, gross-margin, complexity, and cost-to-serve judgment.
Create territory and account plans using sales, margin, product-mix, and pipeline data.
Maintain accurate customer, opportunity, quote, and order records in ERP or CRM tools.
Plan efficient multi-day customer trips and represent the business at industry trade shows.
Coordinate with the external marketing agency on campaigns, lead generation, and trade-show activity.
Partner with customer service, production, purchasing, and technical resources to ensure deliverable commitments.
Establish scalable sales processes and pipeline discipline for future growth.
Requirements
Essential
At least 5 years of successful B2B sales experience with full-cycle responsibility.
Recent personal success prospecting, opening accounts, and expanding existing business.
Experience selling technical, engineered, application-specific, or consultative products or solutions.
Understanding of pricing, gross margin, discounting, customer profitability, and cost-to-serve.
Ability to learn technical products, assess applications, record measurements, and explain specifications.
Strong analytical, mathematical, problem-solving, and organizational skills.
Experience using an ERP and/or CRM, plus working knowledge of Excel, Outlook, and PowerPoint or equivalent tools.
Fluent English with effective written, spoken, presentation, and customer-instruction skills.
Self-directed, ethical, accountable, and collaborative working style.
Ability to travel approximately 40 to 50%, including overnight and occasional weekend travel.
Ability to navigate industrial facilities and perform site assessments, with or without reasonable accommodation.
Reliable transportation to the office and customer locations.
Preferred
Experience selling industrial equipment, components, MRO products, engineered materials, or similar technical products.
Sales exposure to food, chemical, pharmaceutical, plastics, paper, fertilizer, or related processing industries.
Familiarity with OEM, reseller, distributor, end-user, or multi-channel sales.
Experience managing a regional or multi-state territory and visiting manufacturing facilities.
Success building sales processes while retaining personal selling responsibility.
Leadership, coaching, or mentorship experience.
Bachelor's degree or related education in business, engineering, or industrial technology.
DELMIAWorks/IQMS experience or Spanish proficiency.
Ideal Candidate Profile
You are a commercially disciplined technical seller who enjoys creating opportunities, understanding real-world applications, and earning trust on the plant floor. Self-directed, ethical, low-ego, and data-minded, you can succeed without extensive support and want to build profitable business and a scalable sales function.
Benefits
Base salary of $80,000 to $110,000 annually in USD, based on experience and fit.
Commission, incentives, and MBO rewards tied to profitable growth, with target total compensation of approximately $130,000 to $145,000 and performance upside.
75% company-paid employee health, dental, and vision coverage.
Company-paid life, short-term disability, long-term disability, accident, and critical illness benefits.
3% 401(k) match plus 3% profit sharing.
Two weeks of vacation, one week of sick/personal leave, and 13 paid holidays.
Agency statement
Keller is a recruitment agency that provides services to clients ranging from startups and non profits to multinational corporations. Keller emphasizes ethical search processes, attentive candidate care, and leadership placements that support long-term client outcomes.
To learn more about the firm and about our candidate services - please visit
our website
Equal Employment Opportunity and Non-Discrimination Policy
Equal Employment Opportunity Statement:
Both Keller Executive Search and our clients are Equal Opportunity Employers. For all positions, whether with Keller Executive Search or our clients, qualified applicants will receive consideration for employment without regard to race, skin color, religion, sex, sexual orientation, gender identity, gender expression, national origin, age, protected veteran status, disability, genetic information, or any other legally protected status.
Commitment to Diversity:
Keller Executive Search and its clients are committed to fostering a diverse and inclusive work environment where all individuals are valued and respected.
Reasonable Accommodations:
Both Keller Executive Search and our clients are committed to providing reasonable accommodations to individuals with disabilities and pregnant individuals. We engage in an interactive process to determine effective, reasonable accommodations.
Compensation Information:
For client positions, compensation information is available in the job post. If not provided, it will be shared during the interview process in accordance with applicable laws. When required by law, salary ranges will be included in job postings. Actual salary may depend on skills, experience, and comparison to current employees in similar roles. Salary ranges may vary based on role and location.
Compliance with Laws:
Both Keller Executive Search and our clients comply with federal, state, and local laws governing nondiscrimination in employment. This policy applies to all employment terms and conditions, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.
Workplace Harassment:
Both Keller Executive Search and our clients expressly prohibit any form of workplace harassment based on race, skin color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.
E-Verify Participation:
Keller Executive Search and/or our clients may participate in E-Verify. Information about E-Verify participation will be provided during the application process where applicable.
Privacy and Pay Equity:
California Residents: For more information about the categories of personal information we collect for recruiting and employment purposes, please review our Privacy Policy at
www.kellerexecutivesearch.com
.
Colorado, Nevada, New York City, California, and Washington Residents: Compensation information is available in the job post or will be provided during the interview process if not initially available.
Both Keller Executive Search and our clients are committed to pay equity and conduct periodic pay equity analyses in accordance with applicable laws.
State-Specific Information:
Rhode Island: We do not request or require salary history from applicants.
Connecticut: We provide wage range information upon request or before discussing compensation.
New Jersey: We do not inquire about salary history unless voluntarily disclosed.
Veteran Status:
Both Keller Executive Search and our clients provide equal employment opportunities to veterans and comply with applicable state laws regarding veteran preference in employment. If you are a veteran, please inform us during the application process.
Use of Artificial Intelligence in Recruitment
Keller Executive Search and our clients may use artificial intelligence (AI) tools to assist in the recruitment and candidate evaluation process. These tools are used exclusively to support human decision-making by helping to review and assess candidate qualifications and materials. AI is never used to automatically reject, disqualify, or make final hiring decisions about candidates. All AI-assisted evaluations are reviewed by experienced recruitment professionals, and all hiring decisions are made by qualified human recruiters. Our use of AI is designed to enhance fairness, consistency, and efficiency while maintaining our commitment to equal employment opportunity and non-discrimination principles.
Genetic Information:
In accordance with federal and state laws, both Keller Executive Search and our clients do not discriminate based on genetic information. We do not request or require genetic information from applicants or employees, except as permitted by law.
Local Laws:
Both Keller Executive Search and our clients comply with all applicable local laws and ordinances regarding employment practices in the areas where we operate.
Note:
This job posting may be for a position with Keller Executive Search or one of our clients. The specific employer will be identified during the application and interview process. Employment laws and requirements may vary depending on the employer and location.
Location: Pontassieve, Italy
Keller Executive Search is recruiting for a permanent HR opportunity with an established company in the wine and hospitality sector. Based in Tuscany, our client brings together agricultural, production, commercial and guest-facing operations within an international environment. The business is investing in leadership capability, employee development and a strong, sustainable workplace culture.
This is not a conventional HR position. The successful candidate will be a coach-first culture and organisational development partner, working closely with executives, managers and frontline supervisors to strengthen leadership practices, feedback, performance conversations and employee development. You will also lead recurring culture, engagement and performance-development programmes from diagnosis through implementation and measurable follow-through.
Reporting to the HR Director with an international dotted-line relationship, you will join a lean HR team and retain meaningful generalist responsibilities. The opportunity suits someone who combines behavioural-science expertise and credible leadership coaching with practical Italian HR knowledge. With broad access to leaders and teams across multiple Tuscan sites, this role offers tangible influence and a potential long-term pathway towards senior HR leadership.
Key Responsibilities
Build sustained one-to-one coaching relationships with executives, managers and frontline supervisors, including leaders senior to the role holder
Coach leaders on feedback, goal setting, career development, performance management and formal employee conversations
Lead culture and organisational development programmes from diagnosis and design through implementation, evaluation and improvement
Manage recurring employee-listening and performance-development cycles, including survey preparation, launch, reporting and follow-through
Translate survey findings into practical, leader-owned departmental action plans and monitor delivery
Facilitate leadership, talent and capability discussions across operational and corporate teams
Conduct training needs analysis and coordinate development programmes, vendors, e-learning and evaluation within budget
Support succession planning and talent-calibration discussions, linking outcomes to development actions
Provide accurate first-line generalist HR guidance to managers, applying Italian employment law and relevant collective agreements
Support HR reporting, employee-cost budgeting, forecasting and workforce data analysis
Provide recruitment and union-meeting support when required without displacing the role's coaching focus
Maintain a visible presence across sites and incorporate health, safety and quality principles into daily work
Additional Information
Hybrid pattern: office attendance Tuesday through Thursday, with Monday and Friday generally used for home working or site travel
Travel: approximately 50-60% across Tuscany and 10% outside Tuscany
Permanent, full-time position working 40 hours per week
The role has no direct reports and reports to the HR Director, with an international dotted-line relationship
Requirements
Essential
Demonstrated end-to-end ownership of culture, engagement or organisational development programmes, including implementation and measurable follow-through
Sustained one-to-one coaching experience with managers and leaders, including senior leaders and frontline supervisors
Practical HR generalist or HRBP experience covering employee advice, performance processes and HR casework
Sound working knowledge of Italian employment law, with the judgement to manage or escalate formal matters appropriately
Expert proficiency in Italian and strong professional English, spoken and written
A degree in psychology or a related behavioural or organisational field, or an accepted equivalent combining relevant education with substantial coaching practice
Relevant HR experience combining organisational development, talent, learning or culture work with hands-on generalist responsibilities
Intermediate proficiency in Excel, PowerPoint and Word, plus experience using HR systems and handling people or survey data accurately
Availability for permanent, full-time employment and willingness to follow the required hybrid and site-travel pattern
Preferred
Leadership coaching certification supported by applied coaching experience
Experience operating in an international matrix or internationally owned business
Experience engaging production, agricultural, plant, hospitality or other multi-site workforces
Hands-on experience with Workday or another HRIS
Experience supporting succession planning, HR budgets, recruitment or union relationships
Background in a mid-sized organisation or similarly lean HR operating model
Ideal Candidate Profile
You are a credible, psychologically informed HR professional who can challenge and support senior leaders while earning trust across operational teams. Constructive, adaptable and practical, you combine coaching skill with disciplined execution and are equally comfortable facilitating a leadership conversation, interpreting survey data or advising a manager on an Italian HR matter.
Benefits
Base salary of EUR 60,000 to EUR 70,000 annually, depending on experience, with flexibility up to EUR 75,000 for an exceptional candidate
Short-term performance incentive plan
Paid leave and employment provisions in accordance with the applicable collective agreement
Relocation assistance may be considered for the right candidate
Potential long-term development pathway towards senior HR leadership
Agency statement
Keller is a recruitment agency that provides services to clients ranging from startups and non profits to multinational corporations. Keller emphasizes ethical search processes, attentive candidate care, and leadership placements that support long-term client outcomes.
To learn more about the firm and about our candidate services - please visit
our website
Equal Employment Opportunity Statement
Both Keller Executive Search and our clients are Equal Opportunity Employers. For all positions, whether with Keller Executive Search or our clients, qualified applicants will receive consideration for employment without regard to race, skin color, religion, sex, sexual orientation, gender identity, gender expression, nationality, age, disability, genetic information, or any other characteristic protected under EU law and the laws of the respective EU member states.
Commitment to Diversity
Keller Executive Search and its clients are committed to fostering a diverse and inclusive work environment where all individuals are valued and respected. We recognize and celebrate the cultural diversity across EU member states.
Reasonable Accommodations
Both Keller Executive Search and our clients are committed to providing reasonable accommodations to individuals with disabilities, in accordance with EU Directive 2000/78/EC and national laws of EU member states. We engage in an interactive process to determine effective, reasonable accommodations.
Compensation Information
For client positions, compensation information will be provided in accordance with applicable EU and national laws. When required by law, salary information will be included in job postings or provided during the recruitment process. We are committed to pay transparency and equal pay for equal work, in line with EU Directive 2006/54/EC and national laws on pay equity.
Compliance with Laws
Both Keller Executive Search and our clients comply with EU laws, directives, and regulations, as well as national laws of EU member states governing non-discrimination in employment. This policy applies to all employment terms and conditions, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.
Workplace Harassment
Both Keller Executive Search and our clients expressly prohibit any form of workplace harassment based on any protected characteristic under EU law and the laws of EU member states. This includes, but is not limited to, harassment based on race, ethnic origin, religion, sex, sexual orientation, gender identity or expression, nationality, age, disability, or genetic information.
Data Protection and Privacy
We process personal data in compliance with the General Data Protection Regulation (GDPR) and applicable national data protection laws. For more information about how we collect and process personal data for recruitment and employment purposes, please review our Privacy Policy at
www.kellerexecutivesearch.com
.
Pay Equity
Both Keller Executive Search and our clients are committed to pay equity and conduct periodic pay equity analyses in accordance with applicable EU and national laws.
Working Time and Leave
We comply with EU Directive 2003/88/EC concerning certain aspects of the organization of working time, as well as national laws of EU member states regarding working hours, rest periods, and leave entitlements.
Health and Safety
We are committed to providing a safe and healthy work environment in accordance with EU Framework Directive 89/391/EEC on Safety and Health at Work and relevant national laws of EU member states.
Works Councils and Employee Representation
We respect the rights of employees to form and join works councils and other forms of employee representation in accordance with EU Directive 2009/38/EC and national laws of EU member states.
Country-Specific Declarations
While this policy provides a general framework applicable across the EU, it's important to note that specific employment laws can vary significantly between EU member states. To ensure full compliance with local regulations, we make the following provisions:
1. Local Law Compliance: In addition to EU-wide regulations, we comply with all national laws and regulations of the specific EU member state where the employment takes place.
2. Country-Specific Addenda: For each EU country where we operate, we maintain country-specific addenda to this policy. These addenda outline any additional requirements, protections, or procedures mandated by national law that go beyond or differ from EU-wide standards.
3. Language Requirements: In countries where local law requires that employment policies be provided in the local language, we will make available a properly translated version of this policy and its country-specific addendum.
4. Notification of Applicable Laws: During the recruitment process, candidates will be informed of the specific national laws that apply to their potential employment, in addition to EU-wide regulations.
5. Regular Updates: We commit to regularly reviewing and updating our country-specific addenda to reflect any changes in national employment laws.
6. Precedence of National Law: Where national law provides greater protection or additional rights to employees beyond what is outlined in this general EU policy, the national law will take precedence.
7. Specific Declarations: Where required by national law, we will make specific declarations regarding matters such as:
Pay transparency and gender pay gap reporting
Working time arrangements
Collective bargaining agreements
Data protection and privacy measures
Whistleblower protection mechanisms
Any quota systems for underrepresented groups in employment
8. Access to Information: Employees and candidates can request information about the country-specific policies applicable to their employment or potential employment by contacting
assistance@kellerexecutivesearch.com
.
Use of Artificial Intelligence in Recruitment
Keller Executive Search and our clients may use artificial intelligence (AI) tools to assist in the recruitment and candidate evaluation process. These tools are used exclusively to support human decision-making by helping to review and assess candidate qualifications and materials. AI is never used to automatically reject, disqualify, or make final hiring decisions about candidates. All AI-assisted evaluations are reviewed by experienced recruitment professionals, and all hiring decisions are made by qualified human recruiters. Our use of AI is designed to enhance fairness, consistency, and efficiency while maintaining our commitment to equal employment opportunity and non-discrimination principles.
Genetic Information
In accordance with EU and national laws, both Keller Executive Search and our clients do not discriminate based on genetic information. We do not request or require genetic information from applicants or employees, except as permitted by law.
Local Laws
Both Keller Executive Search and our clients comply with all applicable local laws and ordinances regarding employment practices in the areas where we operate within the EU.
Note:
This job posting may be for a position with Keller Executive Search or one of our clients. The specific employer will be identified during the application and interview process. Employment laws and requirements may vary depending on the employer and location within the EU.
Location: Los Angeles, United States
Keller Executive Search is recruiting an accomplished sales leader for a client seeking to accelerate profitable growth, strengthen strategic customer relationships and advance commercial execution. This senior leadership role will oversee a portfolio of key accounts while shaping sales strategy, identifying growth opportunities and maintaining disciplined performance management.
The successful candidate will combine hands-on account leadership with sound commercial judgment, effective team leadership and a strong focus on account profitability. This is an opportunity to influence business growth, develop enduring customer partnerships and progress toward broader executive sales leadership.
Key Responsibilities
Develop and execute sales strategies aligned with revenue, margin and profitability objectives
Lead, coach and hold the sales team accountable for individual and portfolio performance
Manage and expand relationships with key customers, buyers and commercial stakeholders
Own account planning, negotiations, pricing discussions and commercial proposals
Build a qualified pipeline and identify opportunities across existing and prospective accounts
Monitor account-level profitability and pursue sustainable, profitable growth
Produce accurate forecasts, budgets, performance reports and market insights for senior leadership
Partner with operations, finance, marketing and other functions to support effective customer delivery
Represent the organization during customer visits, industry events and trade shows
Additional Information
This is a full-time, on-site leadership position
Travel is required for customer visits and trade shows
Requirements
At least 8 years of progressive sales or commercial experience, including responsibility for major accounts
At least 3 years of sales leadership experience, with demonstrated success coaching and managing teams
Track record of delivering profitable growth and managing performance against revenue and margin objectives
Strong strategic account management, negotiation, forecasting and pipeline management capabilities
Ability to interpret commercial and financial data and translate insights into practical action
Clear executive-level communication, presentation and relationship-building skills
Willingness to work full-time on-site and travel for customer meetings and trade shows
Preferred
Experience working with complex customer accounts and multiple decision-makers
Experience engaging senior buyers, procurement leaders or other commercial stakeholders
Familiarity with CRM systems and structured sales planning methodologies
Bachelor's degree in business, marketing or a related field, or equivalent professional experience
Benefits
Salary: $180,000-210,000 base, annually in USD, plus an annual bonus
Employer-paid health, dental and vision insurance
401(k) or retirement plan with employer match
Paid time off
Employer-paid life and disability insurance
Full-time, on-site role, with travel for customer visits and trade shows
Potential career progression
Agency statement
Keller is a recruitment agency that provides services to clients ranging from startups and non profits to multinational corporations. Keller emphasizes ethical search processes, attentive candidate care, and leadership placements that support long-term client outcomes.
To learn more about the firm and about our candidate services - please visit
our website
Equal Opportunity policy
Equal Employment Opportunity and Non-Discrimination Policy
Equal Employment Opportunity Statement:
Both Keller Executive Search and our clients are Equal Opportunity Employers. For all positions, whether with Keller Executive Search or our clients, qualified applicants will receive consideration for employment without regard to race, skin color, religion, sex, sexual orientation, gender identity, gender expression, national origin, age, protected veteran status, disability, genetic information, or any other legally protected status.
Commitment to Diversity:
Keller Executive Search and its clients are committed to fostering a diverse and inclusive work environment where all individuals are valued and respected.
Reasonable Accommodations:
Both Keller Executive Search and our clients are committed to providing reasonable accommodations to individuals with disabilities and pregnant individuals. We engage in an interactive process to determine effective, reasonable accommodations.
Compensation Information:
For client positions, compensation information is available in the job post. If not provided, it will be shared during the interview process in accordance with applicable laws. When required by law, salary ranges will be included in job postings. Actual salary may depend on skills, experience, and comparison to current employees in similar roles. Salary ranges may vary based on role and location.
Compliance with Laws:
Both Keller Executive Search and our clients comply with federal, state, and local laws governing nondiscrimination in employment. This policy applies to all employment terms and conditions, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.
Workplace Harassment:
Both Keller Executive Search and our clients expressly prohibit any form of workplace harassment based on race, skin color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.
E-Verify Participation:
Keller Executive Search and/or our clients may participate in E-Verify. Information about E-Verify participation will be provided during the application process where applicable.
Privacy and Pay Equity:
California Residents: For more information about the categories of personal information we collect for recruiting and employment purposes, please review our Privacy Policy at
www.kellerexecutivesearch.com
.
Colorado, Nevada, New York City, California, and Washington Residents: Compensation information is available in the job post or will be provided during the interview process if not initially available.
Both Keller Executive Search and our clients are committed to pay equity and conduct periodic pay equity analyses in accordance with applicable laws.
State-Specific Information:
Rhode Island: We do not request or require salary history from applicants.
Connecticut: We provide wage range information upon request or before discussing compensation.
New Jersey: We do not inquire about salary history unless voluntarily disclosed.
Veteran Status:
Both Keller Executive Search and our clients provide equal employment opportunities to veterans and comply with applicable state laws regarding veteran preference in employment. If you are a veteran, please inform us during the application process.
Use of Artificial Intelligence in Recruitment
Keller Executive Search and our clients may use artificial intelligence (AI) tools to assist in the recruitment and candidate evaluation process. These tools are used exclusively to support human decision-making by helping to review and assess candidate qualifications and materials. AI is never used to automatically reject, disqualify, or make final hiring decisions about candidates. All AI-assisted evaluations are reviewed by experienced recruitment professionals, and all hiring decisions are made by qualified human recruiters. Our use of AI is designed to enhance fairness, consistency, and efficiency while maintaining our commitment to equal employment opportunity and non-discrimination principles.
Genetic Information:
In accordance with federal and state laws, both Keller Executive Search and our clients do not discriminate based on genetic information. We do not request or require genetic information from applicants or employees, except as permitted by law.
Local Laws:
Both Keller Executive Search and our clients comply with all applicable local laws and ordinances regarding employment practices in the areas where we operate.
Note:
This job posting may be for a position with Keller Executive Search or one of our clients. The specific employer will be identified during the application and interview process. Employment laws and requirements may vary depending on the employer and location.
Location: Remote - United States
Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit
www.redditinc.com
.
At Reddit, machine learning sits at the heart of how millions of people discover, connect, and engage with the world’s largest collection of human conversations. From “How do I fix a leaky faucet?” to “What should I watch next?”, the
Answers Relevance
team
leverages AI to connect people with the real-world wisdom of Reddit communities. We’re hiring
Senior
and
Staff Machine Learning Engineers
to make Answers smarter, more relevant, and more helpful. Our SOTA AI systems helps surface the right conversations, but the heart of Answers is still people helping people ~ Redditors sharing what they know with each other!
What You’ll Work On
You’ll lead ML projects from idea to production, partnering with Product, Data Science, and Engineering across recommendations, search, messaging, and AI systems.
You don’t need experience in every area listed below. A background in a few may make you a great fit!
Recommendations, search, content understanding, or large-scale data and ML infrastructure
SOTA large scale RecSys
Foundational retriever models
RAG systems, retrieval methods, LLM evaluation, or production LLM features
Agentic AI, such as tool calls, MCPs, multi-agent systems, or orchestration
Self-hosted open-weight models such as Qwen or Llama; prompt engineering, fine-tuning, post-training, or prompt optimization
Improving grounding, instruction following, and hallucination; evaluating retrieval and generation quality
Scaling LLM systems, including latency, caching, and cost; safety measures for prompt injection and unsafe inputs
Defining product success metrics, feedback loops, and evaluation approaches, including human review
What You’ll Do
Build and improve large-scale ML systems, including retrieval and ranking, embeddings, and LLM-powered features
Set technical direction and deliver measurable user and business impact
Work with partner teams to shape product and technical roadmaps
Evaluate new AI/ML approaches and support responsible LLM development
Mentor engineers and contribute to long-term ML planning
Required Qualifications
4–12 years of experience
building, deploying, and operating ML systems in production
Broad knowledge of ML fundamentals and experience applying them in production; expert-level modeling depth isn’t required
Experience developing and productionizing models with TensorFlow, PyTorch, or Hugging Face Transformers
Experience writing production-quality code, including testing, evaluation, and monitoring; Python experience required, Golang experience a plus
Experience with ML systems such as data pipelines, feature engineering, model training and serving, and production monitoring
Strong communication and collaboration skills, and a record of delivering measurable product impact
Benefits
Comprehensive Healthcare Benefits and Income Replacement Programs
401k with Employer Match
Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
Family Planning Support
Gender-Affirming Care
Mental Health & Coaching Benefits
Flexible Vacation & Paid Volunteer Time Off
Generous Paid Parental Leave
#LI-Remote
Pay Transparency:
This job posting may span more than one career level.
In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit
https://www.redditinc.com/careers/
.
To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below.
The base salary range for this position is:
$216,700
—
$322,000 USD
In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews.
During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable. We will not sell your personal information or disclose it to any third party for their marketing purposes. We will delete any recording of your interview promptly after making a hiring decision. For more information about how we will handle your personal information, including our retention of it, please refer to our
Candidate Privacy Policy for Potential Employees and Contractors
.
Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve. Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.
Location: Remote-Friendly, United States
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
Anthropic is building AI systems that will shape the trajectory of one of the most consequential technologies in human history. That work requires physical infrastructure at significant scale, and building that infrastructure the right way means being a real, long-term partner to the communities where we operate.
We are looking for a Community Engagement Manager in Indiana and Kentucky to join our Public Policy team and serve as Anthropic's on-the-ground presence in the communities where our data centers are sited, built, and operated. This is not a communications role or a government affairs role, though you will do elements of both. It is a relationship role: your job is to make Anthropic a trusted, visible, and valued neighbor, from the earliest stages of site selection through construction and long-term operations.
You will be the connective tissue between Anthropic's Policy and Infrastructure teams and the local officials, community organizations, economic development partners, and residents who have a stake in what we build. You will surface concerns before they escalate, translate our technical and operational plans into clear local benefits, and build the coalitions that allow us to move quickly and responsibly. Because Anthropic's infrastructure footprint is still early in its growth, you will also help write the playbook: the processes you build in your first markets are the ones we will use as we expand.
You will travel regularly within Indiana and Kentucky, up to 50% of the time, and occasionally to other Anthropic data center markets.
Key responsibilities
Build and maintain trusted, sustained relationships with county commissioners and councils, Kentucky fiscal courts and judge-executives, mayors and city councils, plan commissions and zoning boards, state and regional economic development organizations, community groups, civic leaders, educational institutions, and workforce partners in the Indiana and Kentucky data center markets you cover
Develop and execute a community engagement strategy for each of your markets, spanning site selection, pre-development, construction, and ongoing operations
Build external coalitions, host education and listening sessions, and design local solutions that deliver real benefits to the communities where we operate
Represent Anthropic in public forums, town halls, planning hearings, community events, and local media
Monitor community sentiment and local political dynamics, and advise internal teams on risks, opportunities, and the right pace and posture for engagement
Partner with the Real Estate and Infrastructure team to bring community input into how projects are planned, communicated, and delivered, not just how they are announced
Work with the Communications team to develop proactive, locally relevant messaging
Coordinate charitable giving, community investment, and economic development commitments in your markets, including managing nonprofit partner relationships
Partner with the Energy and Sustainability team to explain our approach to environmental stewardship and respond to questions about power, water, and land use, including how large electricity needs are served by local utilities and rural electric cooperatives
Build a community engagement playbook and repeatable processes that scale as Anthropic's infrastructure footprint grows
Minimum qualifications
Experience in community affairs, public affairs, economic development, government relations, local or state government, or a closely related field
Direct experience working for or engaging with county and municipal governments and a broad set of community stakeholders on behalf of large infrastructure, construction, energy, or technology projects, with a working understanding of how local politics and community dynamics actually play out
A skilled relationship and coalition builder who earns trust with a diverse group of stakeholders, and who maintains relationships through difficult conversations
The ability to represent a company credibly in public settings, including town halls, hearings, and press interviews
Strong written and verbal communication skills, including the ability to turn a complex operational plan into plain language that a local official or reporter can understand and respond to
The ability to work independently, get up to speed quickly on complex policy issues, and manage multiple concurrent engagements across different markets without losing track of any of them
Based in Indiana or Kentucky or willing to relocate to one of them, and prepared to travel regularly across both states
Preferred qualifications
7+ years of experience in community engagement specifically on data center, utility, energy, or large-scale industrial infrastructure projects, or in local government
Familiarity with land use, zoning, and permitting processes at the county and municipal level in Indiana and/or Kentucky, including local tax abatement and incentive approvals
Experience managing corporate social responsibility programs
Established relationships with economic development, workforce, or civic organizations in the markets this role covers
Experience working with real estate, legal, communications, and policy teams at the same time
A genuine interest in the communities where you work, not just the projects you are managing
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: London
Workplace: Hybrid
ABOUT BEAMERY
With the rapid expansion of AI and automation, the future of work has never been more challenging for organizations. Beamery’s unique jobs, skills and tasks data platform helps organizations navigate these challenges and make more informed decisions across Talent Lifecycle Management. Our solutions power recruitment, mobility, upskilling, diversity, work architecture and workforce planning for some of the world’s most forward-thinking companies.
We believe that where you work is much more than just a job. Millions of people are being left behind every day in their careers, and we’re on a mission to fix this by creating equal access to meaningful work, skills and careers for all.
We are an equal opportunity employer committed to building a representative Beamery, creating an equitable, inclusive and engaging environment for our people.
So, what are you waiting for? Join us and help us transform the future of work once and for all.
What’s ahead — and why it’s an exciting time to join the team:
Building agentic AI with advanced orchestration (multi-agent workflows, tool use, evaluation loops) that turns complex talent data into decisions.
- Training and fine-tuning our own models on unique data about jobs, skills and tasks, and benchmarking them against the best in our market.
- Joining an award-winning AI team (ACM RecSys Challenge 2026) that turns new ideas into innovative solutions with scientific rigour.
- Sharing our work and learning from industry peers through challenges, conferences and publications.
But it’s not all about creating high-quality products, we also very much value the company culture we have worked hard to create; built on trust, empathy & honesty ensuring our workforce is able to bring their full selves to work.
ABOUT THE TEAM
The Data Science team builds the AI models behind Beamery's Data Foundry, the common data and AI layer powering all Beamery products, and works hand in hand with the product teams to empower their features with AI (such as Talent Match and recommendations). At the heart of our work is the Beamery taxonomy, the language of work (skills, role titles and tasks) that every Beamery product speaks, built on more than a decade of research and kept current by the Taxonomist, our agentic system, so it reflects the real pulse of the job market. We combine LLMs, Transformers and embedding models with classic machine learning, always choosing the best balance between quality, latency and cost.
We see ourselves as pioneers in AI for HR Tech: in 2026 the team finished 1st in the industry track and 2nd overall out of 40 teams at the ACM RecSys Challenge.
ABOUT THE ROLE
You will join the team as a Senior Data Scientist and own our matching, recommendation and taxonomy mapping models, working closely with the product engineering teams that bring them to our customers. You will be responsible for the full cycle of your work, from defining how quality is measured and designing the models to running robust scientific experiments, tracking technical and business metrics, and writing and reviewing code. You will also advise the product teams on how to implement AI features with an evaluation-first mindset, and keep pushing the boundaries of Beamery's AI.
KEY RESPONSIBILITIES
- Build, improve and own our matching and recommendation models (e.g. candidate to job matching, internal mobility recommendations etc.).
- Apply an evaluation-first mindset: build golden datasets from real recruiter and user decisions, define quality metrics, design and run robust scientific experiments, track and report both technical and business metrics (using LLM-as-a-judge and human feedback), and communicate results and metrics clearly to the product teams.
- Write clean and tested Python code using AI coding agents (such as Claude Code or Codex), and review code with care, both from your peers and from AI agents, so the team's codebase stays consistent, readable and safe.
- Follow recent research (e.g. LLMs, embeddings, recommender systems, explainability, model evaluation) and bring the most relevant ideas into our product roadmap.
- Document your work and present it clearly to product, engineering and business stakeholders, and contribute to the team's research visibility (such as challenges, conferences and publications).
REQUIRED SKILLS AND EXPERIENCE
- A minimum of 2-4 years of experience as a Data Scientist, Senior Data Scientist (or a similar role) in an AI startup or an AI team, with a dynamic environment and a variety of use cases.
- Strong experience with recommender systems, search, ranking or matching (e.g. learning-to-rank, scoring models, Gradient Boosting Trees, embedding models).
- Fluency in evaluation: designing datasets and quality metrics (such as AUC, NDCG, precision and recall), and using LLM-as-a-judge and human feedback.
- A strong foundation in NLP and GenAI, including Transformers, LLMs and embedding models (training or fine-tuning them is a strong plus).
- High-quality software development skills in Python (clean design, testing, packaging, maintainable code etc.), practical knowledge of CI/CD, and hands-on experience with agentic coding, with the judgement to know when AI-generated code is right or wrong.
- The ability to simplify complex problems, to work with ambiguity, and to collaborate with data scientists, engineers, product managers and business stakeholders.
- A Master's degree or PhD, or equivalent experience, in Computer Science, Data Science, Mathematics or a related field.
NICE TO HAVE
- Experience with explainable or conversational recommendations.
- Experience in HR Tech, talent acquisition or workforce data.
- Publications, open-source contributions or strong results in ML challenges (e.g. RecSys, Kaggle).
WHAT WE OFFER
- The chance to own core AI models that are used by some of the world's most forward-thinking organisations.
- A team that publishes, competes and is recognised in the research community, while shipping real products.
- Work with the latest AI technologies and tools, including AI coding agents as part of the daily workflow.
- Close collaboration with experienced data scientists, QA, platform and product engineers.
At this time, we are unable to provide Visa sponsorship for this role.
Beamery is for Everybody. Diversity and open expression are fundamental to us. We acknowledge the challenges in our industry and strive to develop an inclusive culture where everybody can contribute. We are dedicated to creating an inclusive environment for everyone, regardless of ethnicity, religion, color, sexual orientation, gender identity, race, national origin, age, disability status, or caregiver status. If, for whatever reason, you need us to make reasonable adjustments and adaptations to our recruitment process, please email accommodations@beamery.com
Visit our Diversity, Equality and Inclusion page https://careers.beamery.com/life-at-beamery/diversity-equality-inclusion/to learn more about progress and commitments.
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 manages one of the largest and fastest-growing infrastructure fleets in the industry — spanning multiple accelerator families, cpu families and clouds. The Capacity Engineering team is responsible for making sure all our infrastructure resources are accounted for, well-utilized, and efficiently allocated. We own the data, tooling, and operational systems that let Anthropic plan, measure, and maximize utilization across first-party and third-party compute.
As an engineer on Capacity Engineering, you will build the production systems that power this work: data pipelines that ingest and normalize telemetry from heterogeneous cloud environments, observability tooling that gives the org real-time visibility into fleet health, and performance instrumentation that measures how efficiently every major workload uses the hardware it’s running on. You will be expected to write production-quality code every day, operate alongside Kubernetes-native infrastructure at meaningful scale, and directly influence decisions around one of Anthropic’s largest areas of spend.
You’ll collaborate closely with research engineering, infrastructure, inference, and finance teams. The work requires someone who can move between data engineering, systems engineering, and observability with comfort — and who thrives in a high-autonomy, high-ambiguity environment.
This is a pipeline role feeding four areas.
Depending on your background and business priority, you’ll focus primarily in one, but the boundaries are fluid and the problems overlap:
Data platform
Pipelines that ingest occupancy and utilization telemetry from Kubernetes clusters, normalize billing and usage across cloud providers, and serve the BigQuery tables the rest of the org queries against. Correctness, completeness, and latency are the job, not a footnote. Consumers range from research engineers to finance to leadership, so it's product work as much as engineering: defining schema contracts, making data discoverable, and figuring out what people actually need.
Planning
Knowing what the fleet has, where it's going, and what's in the way. Making the state of the fleet legible and actionable in real time: cluster health tooling, capacity planning platforms, alerting on occupancy drops and allocation problems, and systemic fixes to scheduling and fragmentation. Kubernetes operations on one side, cross-team coordination on the other.
Efficiency
Measuring and improving how effectively every major workload uses the hardware it runs on. Instrumenting utilization across training, inference, and eval systems, building benchmarking infrastructure, establishing per-config baselines, and working directly with system-owning teams to close the gaps. The metric has to be good enough that the team on the hook for it agrees with the number.
Attribution and forecasting
Connecting what the fleet costs to what the business is doing with it. Reconciling CSP billing exports against vendor telemetry and internal systems with mismatched schemas, attributing spend to the workloads and teams that generate it, and turning inference demand signals and research roadmaps into a defensible compute plan. Efficiency metrics have to survive contact with finance: stripped of pure demand and unit-price effects, reproducible month over month, and legible to a CFO.
Key responsibilities
Build the planning and allocation stack — the tools leadership uses to allocate capacity, teams use to plan against their allocations, and the scheduler enforces. Cross-region and cross-provider placement, guardrails, queueing, occupancy KPIs.
Drive the efficiency programs: stranding and rightsizing, unused capacity recovery, and job-level utilization across training, inference, and eval. Establish per-config baselines and work with system-owning teams to close the gaps. Utilization improvements are worth enormous sums at our scale.
Own attribution and forecasting — reconcile billing across ten-plus providers against telemetry and internal systems, attribute spend to the workloads that generate it, and turn demand signals and research roadmaps into a defensible compute plan and supply pipeline.
Build the data platform underneath all of it: pipelines ingesting occupancy, utilization, and cost from a rapidly diversifying fleet into BigQuery, with real ownership of completeness, latency SLOs, and gap detection. Every new provider is a net-new integration.
Operate Kubernetes-native systems at scale — collection agents, workload labeling, and the taint/reservation/scheduling behavior that determines what capacity is actually usable.
Treat the output as a product, not a pipeline. Gather your own requirements, define schema contracts, and design for consumers ranging from research engineers to a CFO — including on-call and SLOs, because these surfaces are load-bearing for the company.
What you bring
A strong track record building and operating production systems. This is a hands-on engineering role with a devops flavor.
Python and SQL at production quality. Most pipeline code is Python; the presentation layer is BigQuery SQL, including table-valued functions and views. Both need to be idiomatic, well-tested, and maintainable.
Deep experience with at least one major cloud provider (Amazon Web Services, Google Cloud, or Microsoft Azure) and its operations
Experience with observability tooling stack, including Prometheus, PromQL, and Grafana, including writing recording rules and building monitoring that engineering teams rely on.
Ability to gather your own requirements and work across organizational boundaries in an ambiguous environment with limited direction.
Preferred qualifications
Experience with capacity planning, resource management, or cost attribution systems at a hyperscaler or in a large-scale machine learning environment. Time spent in product engineering and developer experience absolutely counts here.
Scheduling and packing efficiency experience, or profiling-driven optimization of large distributed workloads.
Multi-cloud data ingestion experience, especially normalizing billing exports, reservation APIs, on-demand capacity reservations, commitments, and vendor telemetry from providers with different billing arrangements.
Total cost of ownership and forecasting experience, including decomposing whether infrastructure growth is causal or correlated with business drivers.
Accelerator infrastructure familiarity. GPU metrics (DCGM), TPU utilization, Trainium power and utilization metrics, or experience with machine learning training and inference systems at the hardware level.
Experience building internal data products with self-service access, schema contracts, API serving, documentation, and discoverability. Not just pipelines, but thinking about how the data gets consumed.
Storage efficiency, retention, and lifecycle program experience at exabyte scale.
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$320,000
—
$485,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
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: Annapolis, MD
Position Objective:
Provides respiratory therapy modalities included in the scope of practice to patients according to the department standards.
Essential Job Duties:
Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions
Administers medical gas therapy in accordance with all department procedures.
Evaluates appropriateness and effectiveness of therapies for continuation or discontinuation according to department standards. Prepares and collaborates with advanced practitioners and clinical specialist to implement respiratory care plan.
Reviews charts per department policy, i.e. orders, lab values, chest x-rays, etc and document care provided accurately and consistently according to department standards.
Operates and maintains equipment in a safe and sanitary condition, following department guidelines, returning to department upon patient discharge.
Observes patient during therapies for adverse reactions and acts in accordance with department policy when problems arise. Monitor response to therapy.
Educational/Experience Requirements:
Associate’s Degree from an accredited college
Required License/Certifications:
Registered Respiratory Therapist as credentialed by the National Board for Respiratory Care.
State of Maryland License of eligibility as a Respiratory Care Practitioner.
Current American Heart Association Healthcare Provider BLS CPR certification.
Working Conditions, Equipment, Physical Demands:
There is a reasonable expectation that employees in this position will be exposed to blood-borne pathogens.
Physical Demands - Medium Lifting
The physical demands and work environment that have been described are representative of those an employee encounters while performing the essential functions of this position. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions in accordance with the Americans with Disabilities Act.
The above job description is an overview of the functions and requirements for this position. This document is not intended to be an exhaustive list encompassing every duty and requirement of this position; your supervisor may assign other duties as deemed necessary.
Pay Range
$55
—
$55 USD
Luminis Health Benefits Overview:
• Medical, Dental, and Vision Insurance
• Retirement Plan (with employer match for employees who work more than 1000 hours in a calendar year)
• Paid Time Off
• Tuition Assistance Benefits
• Employee Referral Bonus Program
• Paid Holidays, Disability, and Life/AD&D for full-time employees
• Wellness Programs
• Employee Assistance Programs and more
*Benefit offerings based on employment status
Opt-in for text notifications!
Luminis Health's two-way SMS texting platform lets you receive notifications and messages from our Talent Acquisition team directly on your phone.
To enable this feature, select "yes" when asked to "opt-in to receive text messages" and to "Receive updates from a recruiter about this job via SMS" when completing your application. Once you are opted in, you can easily opt-out at any time.
Standard text messaging rates may apply based on the candidate's mobile carrier plan. Luminis Health is not responsible for any charges incurred by the recipient. Candidates are encouraged to review their mobile carrier's plan for applicable text messaging rates and usage charges.
Location: Lanham, MD
Position Objective:
The Anestheisa Technologist will report to the Anesthesia Team Coordinator and Team Lead under the supervision of the unit Clinical Director.
The Anesthesia Technologist will independently maintain and organize the anesthesia work space, equipment, and supplies.
The AT, under supervision, will assist the Anesthesia provider, in multiple hospital locations, in preparation and performance of a variety of anesthesia functions.
Essential Job Duties:
Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
1.) The Anesthesia Technologist will prepare the anesthesia machines for use by performing daily quality checks and ensuring optimal anesthesia machine function.
2.) Demonstrates detailed technical knowledge of anesthesia equipment systems for troubleshooting and maintenance.
3.) Sets up anesthesia machine and maintains all anesthesia equipment, instruments and supplies, before, during and after the procedure, according to par levels.
4.) Prepares for induction of anesthesia by placing non-invasive monitors (BP cuff, ECG leads and Pulse Oximeter) at request of provider and is prepared to provide support and anticipate needs during induction and emergence of anesthesia.
5.) Assists in sterile and aseptic preparation for placement of invasive lines or devices, under supervision. After placement of invasive lines or devices, cleans and disposes of used items in appropriate trash receptacle, or prepares items for processing following standard operating room procedure.
6.) Demonstrates knowledge of aseptic technique by preparing and maintaining sterility during invasive procedures.
7.) Anticipates needs for invasive monitoring by having appropriate equipment in operating room prior to procedure, or upon request of anesthesia provider.
8.) Differentiates and anticipates the supplies and equipment needed during emergent situations and for specific patient populations (peds, geriatric, etc.) including but not limited to difficult airway, cardiac arrest, fire, malignant hyperthermia and blood administration.
9.) Maintains knowledge and follows patient and personal safety procedures policies and national standards related to infection control, fire safety, electrical or chemical hazards.
10.)The Anesthesia Technologist will work to ensure the delivery of safe patient care within their scope of practice and participate in a positive and professional work environment.
Education/Experience Requirements:
Required Minimum Education
Associates degree or equivalent
Successful completion of accredited Anesthesia Technician Program.
2 years experience as Anesthesia Technologist
Preferred Experience
Cardiac OR experience highly preferred
Required License/Certifications:
American Heart Association Healthcare Provider BLS
ACLS required within 6 months of hire.
Certification by the American Association of Anesthesia Technicians and Technologists (ASATT)
Working Conditions, Equipment, Physical Demands:
There is reasonable expectation that employees in this position will be exposed to blood-borne pathogens.
Physical Requirements:
Medium work.
Exerting up to 50 pounds of force occasionally, and/or up to 30 pounds of force frequently, and/or up to 10 pounds of force constantly to move objects.
The physical demands and work environment that have been described are representative of those an employee encounters while performing the essential functions of this position. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions in accordance with the Americans with Disabilities Act.
The above is intended to describe the general content of and requirements for the performance of this job. It is not to be construed as an exhaustive statement of duties, responsibilities or requirements
Pay Range
$30
—
$50 USD
Luminis Health Benefits Overview:
• Medical, Dental, and Vision Insurance
• Retirement Plan (with employer match for employees who work more than 1000 hours in a calendar year)
• Paid Time Off
• Tuition Assistance Benefits
• Employee Referral Bonus Program
• Paid Holidays, Disability, and Life/AD&D for full-time employees
• Wellness Programs
• Employee Assistance Programs and more
*Benefit offerings based on employment status
Opt-in for text notifications!
Luminis Health's two-way SMS texting platform lets you receive notifications and messages from our Talent Acquisition team directly on your phone.
To enable this feature, select "yes" when asked to "opt-in to receive text messages" and to "Receive updates from a recruiter about this job via SMS" when completing your application. Once you are opted in, you can easily opt-out at any time.
Standard text messaging rates may apply based on the candidate's mobile carrier plan. Luminis Health is not responsible for any charges incurred by the recipient. Candidates are encouraged to review their mobile carrier's plan for applicable text messaging rates and usage charges.
Location: Dubai; London, England, United Kingdom
Workplace: hybrid
We are a leading trading platform that is ambitiously expanding to the four corners of the globe. Our top-rated products have won prestigious industry awards for their cutting-edge technology and seamless client experience. We deliver only the best, so we are always in search of the best people to join our ever-growing talented team.
We are looking for a
Senior Product Owner
to build the products behind our new Financial Investigation Unit as we expand into new financial products and markets.
You will own the roadmap for investigation case management and customer offboarding. You’ll use AI to give investigators a complete picture of each case faster, and turn approved decisions into workflows that run reliably. You’ll work closely with investigators, Compliance, Operations and Engineering. Because this is a new capability, you’ll shape it from the ground up and, over time, build the team that runs it.
Responsibilities:
Own and prioritise the product roadmap for financial investigation case management and customer offboarding, focusing on investigation quality, timely decisions and reliable execution.
Translate investigator needs into clear product requirements and acceptance criteria. Design workflows that make case ownership, status, next actions and escalation routes clear.
Lead the development of AI and automation to assemble evidence, support analysis and reduce manual investigation work. Ensure outputs are traceable and subject to appropriate human review and approval.
Bring relevant information together across systems, with clear sources and appropriate access controls. Enable complete, auditable case records that preserve evidence and reasoning through reviews and handovers.
Translate approved offboarding procedures into reliable workflows with operational and control owners. Define approvals, dependencies, sequencing and exception handling, with clear confirmation that required actions have been completed.
Deliver changes with Engineering through testing, staged rollout and monitoring. Test interrupted processes, duplicate requests and unavailable dependencies, with recovery routes and records of completed and outstanding actions.
Measure investigation quality, case rework, avoidable delays and offboarding failures alongside user feedback. Use the findings to improve performance without treating faster case closure as proof of quality.
Prepare Operations and Compliance for product changes, support adoption and resolve issues after launch. Feed quality reviews, audit findings and recurring operational problems into the roadmap.
Requirements:
5+ years in product ownership or product management, including end-to-end ownership of a product roadmap at a senior level.
Strong financial crime experience across investigations, AML, fraud or customer offboarding, gained in fintech, banking or another regulated business.
A track record of building workflow or case-management products for operational users.
Experience shipping AI or automation that cut manual work while keeping people in charge of key decisions.
Ability to write precise requirements and work closely with engineers on complex, failure-tolerant workflows.
Strong analytical skills, with experience defining metrics and using data to set priorities.
Excellent stakeholder management, including working with Compliance and control owners on regulatory requirements.
Experience building or growing a product team is desirable.
What you will get in return:
Competitive Salary:
We believe great work deserves great pay! Your skills and talents will be rewarded with a salary that makes you feel valued and motivated.
Work-Life Harmony:
Join a company that genuinely cares about you - because your life outside of work matters just as much as your time on the clock. #LI-Hybrid
Generous Time Off:
Need a breather? Our annual leave policy lets you recharge and enjoy life outside of work without a worry.
Employee Referral Program:
Love working here? Share the love! Bring your talented friends on board and get rewarded for growing our awesome team.
Comprehensive Health & Pension Benefits:
From medical insurance to pension plans, we’ve got your back. Plus, location-specific benefits and perks!
Workation Wonderland:
Live your digital nomad dreams with 30 extra days to work remotely from anywhere in the world (some restrictions apply). Adventure awaits!
Volunteer Days:
Make a difference! Take two additional paid days each year to support causes you care about and give back to the community.
Be a key player at the forefront of the digital assets movement, propelling your career to new heights! Join a dynamic and rapidly expanding company that values and rewards talent, initiative, and creativity. Work alongside one of the most brilliant teams in the industry.
Location: Bangalore
Workplace: OnSite
LIFE AT UIPATH
The people at UiPath believe in the transformative power of automation to change how the world works. We’re committed to creating category-leading enterprise software that unleashes that power.
To make that happen, we need people who are curious, self-propelled, generous, and genuine. People who love being part of a fast-moving, fast-thinking growth company. And people who care—about each other, about UiPath, and about our larger purpose.
Could that be you?
YOUR MISSION
As a Senior RPA developer you work with businesses and Partners to help them leverage full potential of UiPath Automation Platform. You would involve in Developing, Testing and Building world class robots that impacts revenue growth, operational efficiencies, customer/Employee satisfaction of our end customers. You will be part of a group of elite Developers in UiPath Professional Service and may lead a few.
WHAT YOU'LL DO AT UIPATH
- Code and test automation workflows using UiPath Studio using coding agents (Autopilot & Other coding agents).
- Verifying and leveraging appropriate UiPath components from UiPath Product Suite.
- Provide solution designs to customers throughout the deployment of new deals, during POCs (Proof of Concept) and project implementation phase.
- Make changes to the robot code during implementation as needed.
- Develop workflows and custom activities using VB.NET/C# http://VB.NET/C#.
- Responsible for the overall testing cycles
- Deliver technical training, demos, and blueprints and provide necessary support for new/existing clients.
- Mentor budding Developers.
WHAT YOU'LL BRING TO THE TEAM
- Graduate/Postgraduate in Computer Science/IT or equivalent Degree.
- 7+ years of experience in the IT industry with code development background.
- Minimum of 4 years of experience in developing and implementing automation workflows in UiPath.
- Experience leading a Team is a Plus.
- Hands on experience in development using Coding agents and their capabilities.
- Very good understanding on prompt engineering and best practices
- Strong technical skills on UiPath, and end to end UiPath Product Suite.
- Understanding of workflow-based logic and hands on experience with RE-framework, Orchestration Framework and DU (Document Understanding) Framework.
- Hands on experience in UiPath Agents, Maestro, Coded Agents, Coded Apps, Coded Action App, Coded Workflow, IXP, API Workflow.
- Candidates are expected to be up to date with UiPath CLI skills used along with Coding Agents to accelerate development and troubleshooting.
- Basic programming/Scripting knowledge on VBA/VB/java/C#/HTML/CSS/Javascript/Python script or equivalent is must (or any scripting language, python is a plus). Good knowledge on using IDEs.
- Working Knowledge on Document Understanding, Computer Vision, AI Center and Action Center
- Experience working with Mainframe Automation, SAP Automation or Citrix Automation is a plus.
- Experience working with other RPA tools is a plus.
- UiPath Certified Professionals are Preferred.
- Excellent communication skills are a must.
- Knowledge in cognitive automation with OCR (Optical Character Recognition) tools, AI/ML skills is a plus.
- Understanding UiPath Infrastructure requirements is a plus.
- Experience Working with Test Suite, Apps, Insights is a plus.
- Understanding Generative AI and new releases of UiPath is a plus.
- Understanding of Cloud services like Azure/AWS/GCP is a plus.
#LI-MR1
Maybe you don’t tick all the boxes above—but still think you’d be great for the job? Go ahead, apply anyway. Please. Because we know that experience comes in all shapes and sizes—and passion can’t be learned.
Many of our roles allow for flexibility in when and where work gets done. Depending on the needs of the business and the role, the number of hybrid, office-based, and remote workers will vary from team to team. Applications are assessed on a rolling basis and there is no fixed deadline for this requisition. The application window may change depending on the volume of applications received or may close immediately if a qualified candidate is selected.
We value a range of diverse backgrounds, experiences and ideas. We pride ourselves on our diversity and inclusive workplace that provides equal opportunities to all persons regardless of age, race, color, religion, sex, sexual orientation, gender identity, and expression, national origin, disability, neurodiversity, military and/or veteran status, or any other protected classes. Additionally, UiPath provides reasonable accommodations for candidates on request and respects applicants' privacy rights. To review these and other legal disclosures, visit our privacy policy https://www.uipath.com/legal/trust-and-security/privacy-policy.
Location: Tokyo, Japan
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
In this role, you'll lead a team of Account Executives driving the adoption of safe, frontier AI with top enterprises across Japan. This role is critical to Anthropic's Japan expansion.
You'll leverage your leadership expertise to propel revenue growth while developing a high-performing team. Working closely with Applied AI Engineering, Product, GTM, and Marketing teams, you'll help enterprise customers deploy AI solutions and refine our market positioning for Japan.
The ideal candidate will have a deep understanding of Japanese business culture, a passion for developing people, and the ability to navigate Japan's consensus-driven sales environment.
Responsibilities:
Build and lead a high-performing team of Account Executives, providing coaching, mentorship, and guidance to drive team success
Develop and implement sales strategies tailored to enterprise procurement cycles and budgeting processes to meet and exceed team revenue quotas
Create and maintain accurate forecasts, pipeline management, and reporting while ensuring data integrity in CRM systems
Partner with Enablement to develop training programs and resources that accelerate AE ramp time and effectiveness, with focus on Japanese enterprise buying cycles and decision-making processes
Work closely with Applied AI Engineering teams to demonstrate technical capabilities pre-sales and optimize solutions post-sales
Enable your team to have credible technical conversations about AI applications while maintaining appropriate guardrails
Build strong partnerships across the organization to drive strategic initiatives
Identify and execute on new market opportunities and use cases for Anthropic's AI solutions across enterprise segments
Help your team navigate complex enterprise stakeholder ecosystems including executives, IT departments, and procurement offices to build consensus
You may be a good fit if you have:
10 years of enterprise sales experience, preferably driving adoption of SaaS or emerging technologies
3+ years of sales leadership experience within the Enterprise segment
Proven track record of building and leading high-performing sales teams selling into large enterprises, with demonstrated success in coaching and developing AEs
Experience establishing and scaling sales processes, tools, and methodologies in fast-growing organizations
Strong technical acumen with ability to enable credible AI conversations
Track record of successful partnership with technical teams throughout the customer journey
Deep understanding of enterprise buying cycles, procurement frameworks, and common pain points across industries
Demonstrated ability to navigate complex, multithreaded sales cycles across diverse stakeholder groups and drive cross-functional initiatives
Experience managing complex enterprise sales cycles and helping AEs secure strategic deals
Excellent communication skills and ability to build relationships across all levels, from individual contributors to C-suite executives
Strategic approach to market analysis combined with tactical excellence in execution
Passion for AI technology and commitment to its safe, responsible development
Business-level Japanese required; English proficiency strongly preferred
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: 1117 17th Avenue South, Nashville, TN 37212
Come join our team!
There are many reasons why EPIC Insurance Brokers & Consultants has become one of the fastest-growing firms in the insurance industry. Fueled and driven by capable, committed people who share common beliefs and values and “bring it” every day, EPIC is always looking for people who have “the right stuff” – people who know what they want and aren’t afraid to make it happen.
Headquartered in New York City and founded in 2007, our company has over 4,000 employees nationwide. With locations spread out across the U.S., our local market knowledge and industry expertise helps support our clients' regional and global needs. We have grown very quickly since our founding, and we continue to see growth and success thanks to our hard-working and growth-minded employees.
Our core values are: Owner mindset, Inspire trust, Think big, and Drive results. If these values and growth align with what you're looking for in your next career? Then consider joining our amazing team!
JOB OVERVIEW:
This team is based in Nashville, TN - they work hard & play hard; their teamwork & culture is a huge part of their success. They work on all lines of commercial insurance and their specialty is supporting
entertainment industry clients
. This is an exciting opportunity to join a driven, energetic, fun team who loves to grow and develop their team members!
The role of the
commercial insurance account manager
is to participate in the production of new and renewal business and to provide a high level of client service to new and existing clients.
LOCATION:
Hybrid in Nashville, TN
WHAT WE’RE LOOKING FOR:
Candidates with strong, professional communication skills – both written and verbal. Ideal candidates can successfully pivot between providing detailed and accurate written communication, as well as picking up the phone and having a detailed verbal conversation with clients or internal stakeholders.
High attention to detail, and the ability to learn and understand software systems quickly.
REQUIRED: At least 5+ years
of commercial insurance account management experience
AND a current property & casualty license.
Entertainment industry experience is nice to have but not required.
Candidates who adapt well to priority changes, deadlines, and who love problem solving and coming up with solutions and answers to client questions.
WHAT YOU’LL DO:
A detailed list of job duties includes (but is not limited to):
A. Handle renewal and new business for the company that is assigned to you from the production team as well as from call-in and client referrals and by expanding existing networks and business relationships.
B. Maintain/strengthen relationships with prospect and client decision makers, insurance buyers, and company contacts.
C. Manage day-to-day account responsibilities and successfully perform renewal process for existing accounts. Day-to-day duties include but are not limited to:
• resolving client problems
• responding to client questions
• monitoring clients insurance program for possible changes
• facilitating resolution to claims
• coordinating the delivery of value-added services.
D. Perform administrative account management duties such as completing applications, billing, resolving collection problems, corresponding with carriers, providing customer status reports, coordinating and following up on audits, attending sales meetings, reviewing production reports and supporting internal staff department requests for information.
E. Determine risk management and client coverage needs to develop effective insurance programs for new and renewal accounts.
F. Provide coaching, direction and day-to-day supervision to account support staff.
G. Develop effective proposals and make presentations to close new accounts and renew existing accounts.
H. Provide input and support in order to develop and execute a marketing strategy.
I. Follow new business and renewal processes, procedures and practices according to established company systems and guidelines.
J. Manage entertainment and new business development expenses prudently.
K. Apply all enabling technology to ensure efficient and effective delivery of service according to company policies, procedures and practices
L. Perform other duties and special projects as assigned.
WHAT YOU’LL BRING:
Bachelors Degree Preferred
Current P&C License.
Minimum of 5 years’ experience in this role or similar role
Ability to maintain a high level of visual attention and mental concentration for significant periods of time.
Ability to solve complex problems and deal with a variety of variables in situations where some standardization exists.3
Ability to read, analyze and interpret insurance data.
Ability to understand, interpret and implement procedures.
COMPENSATION:
Compensation will be determined based on factors such as experience, skills, training, certifications, education, internal equity, and market data. This role may also be eligible for bonuses and a comprehensive benefits package.
WHY EPIC:
EPIC has over 60 offices and 4,000 employees nationwide – and we’re growing! It’s a great time to join the team and be a part of this growth. We offer:
Generous Paid Time off
Managed PTO for salaried/exempt employees (personal time off without accruals or caps); 22 PTO days starting out for hourly/non-exempt employees; 12 company-observed paid holidays; 4 early-close days
Generous leave time options: Paid parental leave, pregnancy disability and bonding leave, and organ donor/bone marrow donor leave
Generous employee referral bonus program of $1,500 per hired referral
Employee recognition programs for demonstrating EPIC’s values plus additional employee recognition awards and programs (and trips!)
Employee Resource Groups: Women’s Coalition, EPIC Veterans Group
Professional growth & development: Mentorship Program, Tuition Reimbursement Program, Leadership Development
Unique benefits such as Pet Insurance, Identity Theft & Fraud Protection Coverage, Legal Planning, Family Planning, and Menopause & Midlife Support
Additional benefits include (but are not limited to): 401(k) matching, medical insurance, dental insurance, vision insurance, and wellness & employee assistance programs
50/50 Work Culture: EPIC fosters a 50/50 culture between producers and the rest of the business, supporting collaboration, teamwork, and an inclusive work environment. It takes both production and service to be EPIC!
EPIC Gives Back – Some of our charitable efforts include Donation Connection, Employee Assistance Fund, and People First Foundation
We’re in the top 10 of property/casualty agencies according to “Insurance Journal”
To learn more about EPIC, visit our Careers Page:
https://www.epicbrokers.com/about/epic-careers/
.
EPIC embraces diversity in all its various forms—whether it be diversity of thought, background, race, religion, gender, skills or experience. We are committed to fostering a work community where every colleague feels welcomed, valued, respected and heard. It is our belief that diversity drives innovation and that creating an environment where every employee feels included and empowered, helps us to deliver the best outcome to our clients.
California Applicants - View your privacy rights at:
https://www.epicbrokers.com/wp-content/uploads/2025/01/epic-ca-employee-privacy-notice.pdf
.
Massachusetts G.L.c. 149 section 19B (b) requires the following statement: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
#LI-LL1
#LI-Hybrid
(4052)
Location: 8101 East Prentice Avenue Suite 410, Greenwood Village, CO 80111
Come join our team!
There are many reasons why EPIC Insurance Brokers & Consultants has become one of the fastest-growing firms in the insurance industry. Fueled and driven by capable, committed people who share common beliefs and values and “bring it” every day, EPIC is always looking for people who have “the right stuff” – people who know what they want and aren’t afraid to make it happen.
Headquartered in New York City and founded in 2007, our company has over 4,000 employees nationwide. With locations spread out across the U.S., our local market knowledge and industry expertise helps support our clients' regional and global needs. We have grown very quickly since our founding, and we continue to see growth and success thanks to our hard-working and growth-minded employees.
Our core values are: Owner mindset, Inspire trust, Think big, and Drive results. If these values and growth align with what you're looking for in your next career? Then consider joining our amazing team!
JOB OVERVIEW:
Commercial Insurance Account Managers
provide high-quality service to our Clients (
who are large, complex accounts in real estate & development industries
) and Account Executives. They work to ensure satisfaction by balancing the quality of service and speed of response. In this role, the Account Manager will support Senior Executives in the administration of policies, coordination of billing/payment, processing applications and other administrative duties and projects as assigned.
LOCATION:
Primarily in-office: This role must work in our
Greenwood Village, CO office
. Candidates can work from home up to five days every month, with the entire month of August being flexible.
WHAT WE’RE LOOKING FOR:
REQUIRED
: Candidates with current commercial insurance industry experience, licensed in P&C. Strongly prefer candidates with at least 2-3+ years of experience working for a commercial insurance brokerage servicing middle market to large accounts. Real estate experience nice to have but not required.
MUST HAVE: Strong sense of urgency and thoroughness. This successful team handles large accounts for clients, so speed to respond while also being accurate is of the utmost importance.
Team players who are eager to learn and grow, and collaborate well with others.
WHAT YOU’LL DO:
A detailed list of job duties includes (but is not limited to):
Manage the activity for assigned accounts
Manage the schedule of values for each assigned Client
Create schedules of insurance and proposals
Administer quarterly reporting and invoicing of locations added or removed from the schedule of values
Endorsement processing
Invoicing
Tracking client account balances and working with the accounting department to ensure prompt payment is executed
Set up new and renewal policies
Maintain current schedule and policy records in SAGE, our custom broking system
Manage day to day account transactions including additions, deletions of vehicles, acquisitions
Generate and update schedules of insurance, create Acord certificates, Auto ID Cards, Loss Run reports and similar documents as needed
Support administration of program adjustments including dividend and audit adjustments
Contact clients and underwriters to obtain information for policy changes, renewals and endorsements
WHAT YOU’LL BRING:
COMPETENCIES:
Team Player: EPIC’s National Real Estate Practice is a close-knit team. Candidate must be able to work well in a team environment.
Customer Service Focus: Ability to build and maintain customer satisfaction through proactively addressing customer needs and concerns. Ensures the highest value of service is always provided and consistently delivers on commitments to the customer.
Active Listening: Enhances mutual understanding in communication with others by expressing genuine interest in the content and meaning of others’ messages. Asks clarifying questions to ensure understanding
Initiating Action: Self-starter and frequently takes a lead role in improving or enhancing a product or service to benefit the client and EPIC. Will often demonstrate a sincere positive attitude toward getting things done and will seek out additional responsibilities that may go beyond the scope of their formal job description.
Information Seeking: Driven by an underlying curiosity and desire to know more about people, things or issues. This involves going beyond routine questions and includes digging or pressing for exact information; resolving discrepancies by asking a series of questions or conducting less-focused environmental scanning for opportunities or miscellaneous information that may be used in the future.
Quality Extended Task Focus: Able to perform the same work function with excellence and high standards of quality for a significant amount of time while remaining focused and without becoming disengaged.
Composure and Resilience: Able to deal effectively with pressure, maintains focus and intensity and remains optimistic and persistent even under adversity. Demonstrates the ability and propensity to recover quickly and maintain self-control following setbacks, rejections and conflict.
Time Management: Demonstrates the ability to manage multiple responsibilities by being organized and keeping on top of important time-sensitive tasks.
QUALIFICATIONS:
Minimum 2 years of insurance brokerage or insurance carrier experience.
Strong computer skills including MS office suite, Excel and PowerPoint.
Must be detail oriented.
Must have excellent organization and time management skills.
EDUCATIONAL REQUIREMENTS:
College degree in Insurance or related field preferred but not required
P&C Brokers License required
COMPENSATION:
Non-Exempt:
The hourly pay range for this position is $38.46 – $46.15 per hour and standard workweeks are 37.5 hours. This range represents the employer’s good faith estimate of the compensation for this role at the time of posting.
Actual compensation will be determined based on factors such as experience, skills, training, certifications, education, internal equity, and market data. This role may also be eligible for bonuses and a comprehensive benefits package.
WHY EPIC:
EPIC has over 60 offices and 4,000 employees nationwide – and we’re growing! It’s a great time to join the team and be a part of this growth. We offer:
Generous Paid Time off
Managed PTO for salaried/exempt employees (personal time off without accruals or caps); 22 PTO days starting out for hourly/non-exempt employees; 12 company-observed paid holidays; 4 early-close days
Generous leave time options: Paid parental leave, pregnancy disability and bonding leave, and organ donor/bone marrow donor leave
Generous employee referral bonus program of $1,500 per hired referral
Employee recognition programs for demonstrating EPIC’s values plus additional employee recognition awards and programs (and trips!)
Employee Resource Groups: Women’s Coalition, EPIC Veterans Group
Professional growth & development: Mentorship Program, Tuition Reimbursement Program, Leadership Development
Unique benefits such as Pet Insurance, Identity Theft & Fraud Protection Coverage, Legal Planning, Family Planning, and Menopause & Midlife Support
Additional benefits include (but are not limited to): 401(k) matching, medical insurance, dental insurance, vision insurance, and wellness & employee assistance programs
50/50 Work Culture: EPIC fosters a 50/50 culture between producers and the rest of the business, supporting collaboration, teamwork, and an inclusive work environment. It takes both production and service to be EPIC!
EPIC Gives Back – Some of our charitable efforts include Donation Connection, Employee Assistance Fund, and People First Foundation
We’re in the top 10 of property/casualty agencies according to “Insurance Journal”
To learn more about EPIC, visit our Careers Page:
https://www.epicbrokers.com/about/epic-careers/
.
EPIC embraces diversity in all its various forms—whether it be diversity of thought, background, race, religion, gender, skills or experience. We are committed to fostering a work community where every colleague feels welcomed, valued, respected and heard. It is our belief that diversity drives innovation and that creating an environment where every employee feels included and empowered, helps us to deliver the best outcome to our clients.
California Applicants - View your privacy rights at:
https://www.epicbrokers.com/wp-content/uploads/2025/01/epic-ca-employee-privacy-notice.pdf
.
Massachusetts G.L.c. 149 section 19B (b) requires the following statement: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
#LI-AT1
Location: San Francisco, CA | 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
As an Integrity and Authenticity Policy Manager, you will be responsible for developing, refining, and maintaining policies that prevent the misuse of AI systems for deception, manipulation, and unauthorized monitoring at scale. You will serve as the policy owner for risks related to inauthentic behavior, influence activity, surveillance, and the profiling of individuals and groups, and you will help shape policy frameworks across several areas, including authenticity, information integrity, and privacy and surveillance.
Your initial focus will be on translating the Integrity and Authenticity risk framework into clear, enforceable policies, ensuring policy language addresses emerging threats identified by partner teams, and establishing guidelines that enable consistent enforcement decisions. Many of the most serious harms in this space begin with upstream steps that look routine on their own, such as compiling records about a person, automating account creation, or sorting users by inferred identity. Part of your work will be defining where those steps become prohibited. The role will expand as AI capabilities advance. Safety is core to our mission. You will help ensure our products cannot be used to deceive people at scale, monitor and profile people without their knowledge or consent, or sort and target populations based on sensitive characteristics.
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, as well as detailed descriptions of privacy violations, surveillance abuses, and deceptive campaigns targeting vulnerable people.
Key responsibilities
Develop and define policy boundaries for covert monitoring, tracking, and surveillance across different contexts, drawing the distinction between malicious behaviors and compliant dual-use scenarios
Write policy guidance on facial recognition, voice cloning, and geolocation inference, specifying which uses require consent and which are prohibited outright
Map the surveillance lifecycle, from target selection and data collection through analysis and covert deployment, and define the policy line at each stage so that interventions can occur early in the chain
Design and oversee evaluations that measure the model's capability to support social media monitoring, people-finding, predictive profiling, and the identification or tracking of specific people, to build, develop and improve safeguards with cross-functional partners to prevent malicious behaviors
Write and refine external-facing Usage Policy language and develop training guidelines, assessment rubrics, and evaluation protocols for enforcement teams, with emphasis on indicators of covert monitoring and population-level targeting
Validate enforcement decisions and automated assessments, provide policy guidance on complex edge cases such as investigative research into surveillance tools, coordinate with civil society, privacy experts, threat intelligence researchers, and academics, and serve as the escalation point for complex integrity and surveillance cases
Minimum qualifications
Working knowledge of how deceptive campaigns and covert monitoring operate in practice, including account networks, bot operations, data aggregation pipelines, and attribution methods
Familiarity with surveillance technologies and their misuse, including social media monitoring tools, people-search services, location tracking, spyware, facial recognition, and open-source intelligence techniques used against individuals
General knowledge of the global regulatory landscape around data protection, privacy, platform regulation, and digital services accountability
Strong policy writing skills, with the ability to translate complex threat frameworks into clear, enforceable guidelines
Experience designing policies and workflows that enable both clear human enforcement decision-making and technical implementation in ML classifiers and detection pipelines
Strong collaboration skills and extensive experience partnering with Engineering, Data Science, Legal, Threat Intelligence, and Policy teams on cross-functional initiatives
Excellent written and verbal communication skills, with the ability to explain deceptive tactics, surveillance methods, and policy rationales to diverse audiences, including non-specialists and policymakers
Preferred qualifications
5+ years of experience in policy development, trust and safety, threat intelligence, or platform integrity, with hands-on work on inauthentic behavior, surveillance-related abuse, or data misuse
Experience in privacy policy, privacy engineering, or data protection work, including familiarity with privacy impact assessments and data minimization principles
Experience in intelligence roles, state-aligned monitoring operations, or covert data collection campaigns
Experience investigating inauthentic networks, covert monitoring, or surveillance abuses at a platform, research organization, or government body
Background in digital forensics, open-source intelligence, or threat attribution
Knowledge of persuasion theory, cognitive biases, and deceptive communication techniques, including social engineering and pretexting methods
Familiarity with human rights and privacy frameworks as they apply to surveillance, including protections for journalists, activists, and marginalized communities
Experience with trust and safety operations involving content moderation evasion, bot detection, or platform scraping enforcement
Experience working with EU institutions, regulatory bodies, or policy organizations on AI governance or digital platform regulation
Experience conducting adversarial testing, red teaming, or vulnerability assessments for AI systems or platforms, particularly for misuse involving monitoring or profiling
Familiarity with generative AI capabilities and an understanding of how LLMs can be used for synthetic personas, social engineering, predictive profiling, or surveillance at scale
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, CA | New York City, NY
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
Join Anthropic's Customer Success team in a high-visibility & high-impact role driving AI adoption across a small number of enterprise accounts in our Enterprise Tech segment. As our dedicated Customer Success Manager for Enterprise Tech Customers you’ll be their partner and trusted advisor helping them harness the full potential of all our Claude capabilities - API, Claude Code, Cowork, and other surface areas.
You'll work with a book of global technology leaders to actively deploy AI and reshape the technology landscape. You’ll be working with key partners who are moving fast and pushing the boundaries of what's possible with LLM technology. Your role will entail developing genuine partnerships with the customer and key stakeholders, gaining a deep understanding of their multi-pronged business objectives, strategic direction, AI vision, and technical needs. You'll draw on both your business acumen and technical expertise to serve as a strategic advisor throughout their journey with us.
In partnership with the broader account team, you will help customers identify the right Claude capabilities for their specific business objectives, working closely with them to provide best practices and guidance while supporting them as their usage grows and evolves.
Your role focuses on helping customers scale their usage effectively, drive model and use case optimizations, implement change management strategies, and maximize the value of their investment through expanded use cases across their organization. The insights you gather from your customers will directly inform our research priorities, product development, and go-to-market strategies — making you a key voice in shaping how we build and deliver ongoing value as a business.
Responsibilities:
Build trusting, strategic relationships with key customer decision makers in complex, matrixed organizations; understand their business and objectives and identify opportunities for optimization and expansion
Own customer operations across the lifecycle of each account, maintaining a structured operational assessment (customer readiness, operational health, strategic alignment, enablement strategy, adoption intelligence) that grounds comprehensive account and success plans and Executive Business Reviews
Become an expert in Anthropic's products across API, Claude Code and Cowork, understanding the technical nuances and best practices for each to guide customers to the right solutions
Leverage your deep knowledge of each customer, and the patterns you see across your other Tech accounts, to proactively drive consumption planning and the value story behind it, developing credible ROI hypotheses and quantifying outcomes that build the case for continued and expanded investment.
Monitor usage patterns and identify optimization opportunities across Claude surface areas (API, Claude Code, Cowork) to drive full value from contracted commitments
Serve as the customer’s thought partner, enhancing their knowledge of Claude products by socializing Anthropic’s product roadmap, driving awareness on new products and engaging Product PMs
Develop and execute change management strategies to drive end-user adoption and maximize value within customer organizations, including Train the Trainer programs, Center of Excellence development, and organizational enablement
Ruthlessly prioritize across the account's many business units and workstreams, building programmatic, repeatable motions
You may be a good fit if you have:
6+ years of experience in Customer Success, Technical Account Management, Solutions Engineering, or Strategy Consulting
Experience working with F500 technology companies, SaaS platforms, or digital-first businesses at the exec level—ideally including high-growth and established tech companies.
You understand what it means to lead organization-wide change or adoption programs (multiple functions, hundreds of users) for a product that requires C-suite sponsorship
Technical fluency with ability to understand and articulate AI/ML concepts, API integrations, and software implementation patterns across a set of diverse stakeholders—from developers and product managers to executives and end users
Proven track record managing a portfolio of accounts while maintaining strong relationships and driving measurable outcomes — you can run multiple enterprise motions in parallel without letting any account go quiet.
Cross-functional collaborator who represents the customer in a positive, proactive manner, rallying everyone around paths forward that solve customer needs
Passion for AI and interest in responsible development of advanced systems. You have built with Claude Code, automating your own workflows with agents, skills, and tooling.
A knack for bringing order to chaos and an enthusiastic "roll up your sleeves" mentality
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:
$200,000
—
$265,000 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.
New York City, NY
South Windsor, United States
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Настройте подбор один раз, и подходящие вакансии будут сами приходить в Telegram.
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Pontassieve, Italy; Hybrid pattern: office attendance Tuesday through Thursday, with Monday and Friday generally used for home working or site travel; Relocation assistance may be considered for the right candidate
headLos Angeles, United States
УдалённоRemote - United States
УдалённоRemote-Friendly, United States
ГибридseniorLondon
San Francisco, CA
География найма не уточнена
География найма не уточнена
ГибридseniorDubai; London, England, United Kingdom
ОфисseniorBangalore
Tokyo, Japan
География найма не уточнена
География найма не уточнена
San Francisco, CA | New York City, NY | Washington, DC
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