Location: North Chicago, United States
Our client, a well-established national trade association, is seeking an Executive Director to lead the organization into its next stage of growth. The association serves a diverse B2B membership of manufacturers, distributors, suppliers, and operators through industry events, education, networking, and advocacy.
The organization is stable and has an engaged, supportive Board. It is now ready to modernize, expand its membership into adjacent markets, and build a stronger member-centric culture.
This is a role for a builder.
The right leader will enjoy putting systems and processes in place, growing a lean team, and turning strategy into measurable results.
What You Will Lead
Growth and Revenue:
Own financial performance for an operating budget in the low seven figures. Drive membership recruitment and retention and grow net revenue. Diversify revenue through sponsorships, programs, events, and new member offerings.
Transformation:
Lead the organization through a period of modernization, including launching a brand refresh and building scalable processes, systems, and member data capabilities.
Team Building:
Lead and develop a small staff, recruit key new hires, and build a collaborative, high-performing culture.
Events and Programs:
Serve as executive lead for major annual industry trade shows produced with partner organizations and a contracted show management firm. Also oversee year-round education, awards, and an annual member meeting.
Board Partnership:
Work with the Board and its committees to implement strategic, generative governance. Report clearly on progress, finances, risks, and opportunities.
External Relations and Advocacy:
Serve as a visible ambassador for the association and its industry with members, partners, allied associations, media, and government officials. Coordinate legislative and regulatory efforts with counsel and lobbyists.
Operations:
Oversee finance, compliance, HR, technology, and administration. This includes budget development with the Finance Committee, internal controls, and the annual audit.
Requirements
Required:
A bachelor’s degree or equivalent experience. A CAE or other association-related certification is a plus.
10+ years of senior leadership experience in a trade association or nonprofit. Small-staff associations ($5M+) with a diverse mix of member types are ideal.
A proven track record of growing membership and net revenue.
Experience leading an organization through major structural or strategic change.
A history of revenue diversification and of building member-centric programs.
A strong working understanding of the partnership between a chief staff executive and a volunteer Board.
Knowledge of nonprofit finance, budgeting, and legal practices, and comfort negotiating contracts.
A data-informed approach to member intelligence, including experience with association management or CRM platforms.
Excellent written and verbal communication, including public speaking and media relations.
A relationship-centric, hands-on leadership style with demonstrated strength in team building and change management.
Willingness to travel approximately 15 to 20% of the time, including multi-day industry events.
Preferred:
Direct experience producing or managing a trade show or large industry event, including exhibitor sales, sponsorships, and contractor management.
Experience managing events or programs in partnership with other organizations.
Legislative or regulatory advocacy experience at the state or federal level.
Background in the entertainment, hospitality, leisure, or consumer products sectors.
Benefits
Base salary of $120,000 to $150,000, depending on experience.
An annual performance bonus program.
Health and retirement plans.
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: Boston, MA; San Francisco, CA | Seattle, WA | New York City, NY | Washington, DC
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
Anthropic is an AI safety and research company working to build reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our customers and society as a whole. As an Enforcement Analyst focused on Agentic Alignment, you will play a crucial role in identifying and investigating harmful and unexpected behavior by models, and make enforcement decisions accordingly. You'll work closely with a suite of cross-functional teams, within and outside of Safeguards, including: Policy, Threat Intel, Engineering, Research, and Transparency. Your work will be essential in maintaining Anthropic's commitment to safe and beneficial AI as Claude takes on more autonomous work.
Important context for this role: In this position you may be exposed to and engage with explicit content spanning a range of topics, including those of a sexual, violent, or psychologically disturbing nature. There is also an on-call responsibility across the Policy and Enforcement teams.
Key responsibilities
Review and investigate potential instances of Agentic Misalignment, working from transcripts, tool-use traces, and code
Triage cases by severity and urgency and share through the appropriate channels
Help operationalize review pipelines for agentic cases, translating leads from detection outputs and investigations into structured review workflows that scale
Make enforcement decisions under the Usage Policy, applying it consistently to novel agentic scenarios and across surfaces, and documenting the reasoning behind each decision
Assess cyber-related agentic activity, such as scanning, exploitation attempts, credential misuse or malicious code to determine its real-world harm potential
Write clear, well-evidenced case write-ups for audiences ranging from enforcement peers to senior leadership
Identify patterns and trends across cases, and close the loop between enforcement outcomes and upstream improvements by feeding findings back to policy, detection and research teams to improve policies, classifiers and model behavior
Maintain rigorous documentation of enforcement decisions, review logic and precedents to build institutional knowledge
Collaborate with Threat Intelligence, Research, Engineering and Policy partners so that detection coverage keeps pace with how agentic misuse and misaligned behavior evolve
Use AI systems, including Claude, to accelerate your own investigations: summarizing long transcripts, analyzing code, querying data and building lightweight tooling
Contribute to regular reports on agentic harm trends and enforcement outcomes
Minimum qualifications
Can read and understand code (for example Python, JavaScript or shell scripts) well enough to follow what happened and why it matters
Have a background in security, cyber threat intelligence, or a similar technical field that lets you understand how cyber harm happens and judge its severity
Have experience in trust and safety, enforcement, investigations or a related field, translating ambiguous policy questions and facts into defensible enforcement decisions and clear written findings
Have conducted structured investigations, building a case from first signal to final finding and knowing when the evidence is strong enough to act on
Have supported or contributed to formal enforcement actions, including case documentation, evidence packaging and escalation coordination
Write clearly and concisely, and can present complex findings to stakeholders across Legal, Policy and Engineering, including non-technical audiences
Have sound judgment about when a case needs escalation, and the resilience to work with difficult content
Preferred qualifications
Have demonstrated use of AI systems to accelerate your own work, and are excited to keep finding new ways to do so
Are comfortable working with large volumes of data, from long transcripts, logs and traces to complex, multi-table datasets, and surfacing the behavioral patterns that matter
Are curious about how AI agents behave, and enjoy investigating behavior no one has categorized before, building approaches where established playbooks don’t exist
Have familiarity with AI safety and alignment, and current debates about the risks of increasingly autonomous AI systems
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$245,000
—
$285,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Dubai, United Arab Emirates; Abu Dhabi, United Arab Emirates
Our client, a traditional restaurant in Montenegro, Europe is looking for a reliable and hardworking Kitchen Steward/Dishwasher to support its daily kitchen operations. The restaurant focuses on traditional cuisine and takes pride in maintaining high standards of cleanliness, organization, and service.
As a Dishwasher, you will play an important part in keeping the kitchen running smoothly. This role supports the wider back-of-house team by helping maintain the cleanliness, flow, and readiness needed for service, ensuring kitchen operations remain efficient throughout the day.
Responsibilities
Wash and sanitize dishes, cookware, utensils, and kitchen equipment.
Maintain clean dishwashing stations and follow restaurant hygiene standards.
Sort, store, and organize clean dishes and kitchen supplies.
Remove waste and keep kitchen floors and work areas clean.
Support kitchen staff with basic cleaning and closing duties.
Ensure cleaning supplies are properly stored and report shortages when necessary.
Follow the restaurant's health, safety, and sanitation procedures.
Requirements
Previous experience as a Dishwasher, Kitchen Steward, or in a similar restaurant kitchen support role
Knowledge of food hygiene and safe cleaning practices.
Able to stand for long periods and handle relatively light lifting, including heavier pots and containers when needed.
Willingness to perform cleaning duties and assist the kitchen team as needed.
Willingness to work on split - shifts
Willingness to relocate to Montenegro, Europe
Benefits
Monthly salary of €700–€750 on a one year contract, shared accommodation, 1 day off per week and a flight ticket provided, with the cost reimbursed upon arrival if initially paid by the candidate
Dubai, United Arab Emirates; Abu Dhabi, United Arab Emirates
Не хотите искать каждый день?
Настройте подбор один раз, и подходящие вакансии будут сами приходить в Telegram.
Настройте подбор, и подходящие вакансии будут приходить в Telegram.
Location: Singapore
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
We are seeking an Enterprise Account Executive, Industries – Manufacturing to lead Anthropic’s go-to-market in Taiwan from our Singapore hub. You will bring Claude to Taiwan’s leading high-tech manufacturers in semiconductors, electronics, and the AI hardware supply chain, helping them apply AI across engineering, operations, supply chain, and corporate functions. You will own the full sales cycle with C-suite and senior technical stakeholders, working with Product, Engineering, Applied AI, and Partnerships to shape solutions that fit the market. As one of Anthropic’s first commercial presences covering Taiwan, you will also help define our regional strategy and build the foundation for long-term growth, in a way that reflects Anthropic’s mission to ensure the world safely makes the transition through transformative AI.
Key responsibilities
Meet and exceed revenue targets by winning new enterprise accounts and expanding existing ones, while landing flagship references across Taiwan’s semiconductor, electronics, and broader manufacturing sectors
Build and execute a territory plan that reflects Taiwan’s manufacturing landscape, including its buying behavior, regulatory environment, and data residency expectations
Lead consultative sales with C-suite and senior technical leaders, positioning AI as a driver of business transformation
Translate Claude’s technical capabilities into clear business value for manufacturing use cases
Run technical discovery with engineering leaders and speak credibly about security, IP protection, and deployment options with customers whose designs and process data are their most sensitive assets
Partner with Product, Engineering, Applied AI, and Partnerships to design tailored solutions and support complex deals
Build co-sell motions with hyperscaler and system integrator partners, including joint customer engagements and marketplace procurement, to extend reach across the territory
Identify new use cases and feed customer and market insights back into the product roadmap
Represent Anthropic with customers, partners, and industry stakeholders in Taiwan, including conversations about the safe and responsible use of AI
Minimum qualifications
10+ years in enterprise sales, business development, or account management, including selling to semiconductor, electronics, or other manufacturing customers in Taiwan
Deep understanding of Taiwan’s high-tech manufacturing ecosystem, including how leading companies organize engineering, manufacturing, and supply chain functions, and where AI creates measurable value
Track record of closing complex, multi-stakeholder enterprise deals
Existing commercial network among Taiwan-based enterprises
Fluency in Mandarin and English, with strong written and verbal communication and presentation skills
Strong commercial judgment and the ability to work independently in a fast-moving, early-stage market
Based in or willing to relocate to Singapore, with eligibility to work there and willingness to travel frequently to Taiwan
Bachelor’s degree in a related field or equivalent experience
Preferred qualifications
Experience selling AI/ML, cloud, data platforms, or enterprise SaaS into manufacturing, semiconductor, electronics, or industrial sectors
Experience co-selling with hyperscaler, channel, or SI partners
Familiarity with regional data residency, AI governance, IP protection, and enterprise procurement requirements
Interest in or experience with advanced AI systems and their safe development
Understanding of Taiwan’s competitive and sovereign AI market, including hyperscaler presence, government-backed local models, and manufacturers building their own models
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: San Francisco, CA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
As Product Counsel, you will be a hands-on legal partner to the teams building Claude for consumers and businesses. You'll work across Claude's apps, subscriptions, growth programs and enterprise offerings, moving to wherever the need is greatest. You'll learn from experienced product lawyers, get close to the product quickly, and take on more ownership as you go. This is a generalist role for someone who wants range, likes a fast pace, and is ready to do the routine work and the novel work with the same care.
Key responsibilities
Partner with Product, Engineering, Design and other cross-functional teams to give clear, practical legal guidance from early ideas through launch
Review product launches across Claude's consumer and enterprise offerings, spotting issues early and helping teams find a path forward
Advise on subscriptions, pricing, promotions, billing and other growth programs, including consumer protection and marketing rules
Support enterprise and regulated-industry products on topics such as admin controls, customer commitments and enterprise readiness
Draft and review user-facing terms, disclosures, in-product copy and marketing claims
Pull in privacy, commercial, IP, safety and other specialists, then return one integrated answer to your product partners
Build guides, templates and AI-powered workflows so routine questions get answered quickly and the team can focus on novel ones
Pick up new areas as priorities shift, and help with incidents and escalations when they come up
Minimum qualifications
Hold a law degree (JD, LLB, or equivalent) and meet the local licensing requirements to work as in-house counsel where you'll be based
At least 4 years of relevant legal experience, with exposure to technology, consumer or regulated products
Experience advising business or product teams directly, not only other lawyers
Working knowledge of at least two of: consumer protection, privacy, advertising and marketing law, technology transactions, IP, or regulated industries
Curiosity about how AI products work, and the ability to pick up technical concepts quickly
A habit of making a clear recommendation, even with incomplete information
Comfort moving between assignments as priorities change, with no job too big or too small
Clear, concise writing that non-lawyers can act on
Openness to feedback and a track record of improving quickly
Experience using AI tools in your legal work, or a strong interest in learning to do so
Empathy and a service orientation, with a real commitment to Anthropic's mission
Preferred qualifications
In-house product counsel experience, or a secondment with a product team
Experience with subscription businesses, promotions, or consumer billing
Experience supporting enterprise SaaS or regulated customers such as healthcare or financial services
Experience building playbooks, self-serve guidance or legal automation
Role-specific policy:
For this role, we expect all staff to be able to work from our San Francisco office at least 3 days a week, though we encourage you to apply even if you might need some flexibility for an interim period of time.
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$265,000
—
$335,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Boston, MA; San Francisco, CA | Seattle, WA | New York City, NY | Washington, DC
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
Anthropic's Safeguards team plays a critical role in ensuring our AI systems are deployed safely, responsibly, and in line with our values.
As an Incident Manager, you will manage Safeguards incidents involving our AI systems from declaration through closure. You will assess severity, bring in the right people from Legal, Communications, Policy, Threat Intelligence, Security, Engineering, and research teams, keep leadership informed, and see follow-up work through. You will also oversee the Safeguards Enforcement on-call queue on a rotating basis, and help build and scale the incident response program, including runbooks, post-incident reviews, and automation of routine work.
Important context for this role: in this position you may be exposed to and engage with explicit content spanning a range of topics, including those of a violent, sexual, or psychologically disturbing nature. This role also includes after-hours and weekend incident coverage on a rotating basis.
Key responsibilities
Serve as incident commander for Safeguards incidents from declaration through closure
Assess what qualifies as an incident, propose severity, and coordinate responders across Legal, Communications, Policy, Threat Intelligence, Security, Engineering, and research teams
Keep everyone working from the same facts by tracking input from each team, establishing what is known, what has changed, and what is still open, and sending regular updates that executives and partner teams rely on
Make sure Legal, Communications, and Public Policy are consulted before decisions that need them, and coordinate any external notifications
Run post-incident reviews, assign action items to named owners, and track them through closure
Oversee the on-call queue during your rotation as the first responder for urgent requests and escalations to Safeguards Enforcement
Triage each request, resolve what you can, route the rest to the owning team, and recognize when a request is the start of an incident
Take part in after-hours and weekend incident coverage on a rotating basis
Scope and deliver projects that improve the incident response program, such as on-call automation, incident readiness, and post-incident reviews and metrics
Draft and maintain runbooks and standard operating procedures
Work with Safeguards engineers to automate or reroute requests by writing the decision rules and testing the result
Maintain the incident record and the metrics that show leadership how the program is performing
Minimum qualifications
Experience running incidents or urgent escalations from start to finish in trust and safety, security, platform integrity, crisis management, or a comparable field, and readiness to lead high-severity incidents with support
Hands-on experience with incidents where someone was abusing or misusing a product or platform, such as account compromise, fraud, or coordinated malicious activity
Ability to make clear decisions under time pressure, record your reasoning, and recognize when a decision belongs to Legal, Policy, or leadership
Ability to write short, accurate updates that an executive can act on and that hold up to legal and external scrutiny
Experience coordinating people across many functions who do not report to you, securing their commitments, and following through on them
Experience improving an operational process on your own initiative, and the ability to tell which steps need a person and which can be automated
Willingness to do hands-on queue work as a regular part of the job, and to treat it as a source of information about what is breaking
Ability to participate in after-hours and weekend incident coverage on a rotating basis
Preferred qualifications
Experience joining an incident response function early and helping write runbooks and review processes
Experience with incidents involving AI systems
Experience with the enforcement steps that follow an incident, such as account actions, law enforcement referrals, or user and customer notifications
Experience working with threat intelligence or security investigation teams during an incident
Experience with regulatory or external incident reporting and disclosure
Experience running an on-call rotation or support escalation queue, including setting and measuring response targets
Experience using AI tools to automate triage, summaries, or routine decisions, with checks on quality
Working knowledge of SQL or similar tools for analyzing incident and queue data
Experience designing and facilitating tabletop exercises
Genuine interest in AI safety and responsible technology development
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$245,000
—
$285,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: San Francisco, California
Workplace: Hybrid
ABOUT SENTRY
Software runs the world and the pace is faster than ever. Sentry helps developers fix errors and performance issues before users notice, so teams can spend less time firefighting and more time building.
Trusted by 200,000+ organizations, Sentry is today’s application monitoring standard and our team is building its AI-native future.
ABOUT THE ROLE
We're looking for an experienced engineering leader to own one of the most critical areas within Platform: the runtime and stateful systems Sentry runs on. You'll lead multiple engineering teams and Staff engineers responsible for OLTP and OLAP databases, real-time compute and stream processing, blob storage, and distributed caching.
These systems power Sentry's products, including Seer, and are mission-critical to the business. When they perform well, every product team moves faster. When they don't, the whole company feels the impact.
You'll set the technical vision across these systems, lead significant architectural changes, and develop the engineering leaders and teams responsible for building and operating them. This role requires someone who brings deep technical judgment, thinks strategically, and has a track record of driving complex engineering initiatives from concept through execution.
You'll have the opportunity to shape both the technical direction and organizational growth of a critical part of Sentry's platform as our products and infrastructure continue to evolve.
This is a hybrid role based in the San Francisco Bay Area, with an expectation of working from our San Francisco office three days per week.
IN THIS ROLE YOU WILL
- Lead multiple engineering teams and Staff engineers responsible for the runtime and stateful systems supporting Sentry, Seer, and the products built on top of them.
- Set the technical vision and strategy across multiple systems, identifying opportunities to evolve our architecture as the business scales.
- Drive significant architectural changes and technical initiatives, making informed tradeoffs around scalability, reliability, performance, cost, and complexity.
- Provide technical leadership across teams, working closely with senior engineers to evaluate architectural decisions, challenge assumptions, and establish technical direction.
- Own the execution and operational excellence of mission-critical systems, ensuring teams deliver reliable, scalable, and high-performing platform components.
- Build and develop a strong engineering organization, including hiring, mentoring, and growing engineering managers and senior technical leaders.
- Foster a culture of engineering excellence, technical accountability, and continuous improvement.
- Partner across Platform, Infrastructure, and Product to align priorities, navigate ambiguity, and deliver complex, cross-functional initiatives.
- Anticipate evolving product and infrastructure needs, identifying opportunities to build new platform capabilities and improve existing systems.
YOU'LL LOVE THIS JOB IF YOU
- Enjoy solving complex distributed systems problems and have strong opinions about architecture, backed by experience and sound technical judgment.
- Thrive in roles where you're equally responsible for technical direction, execution, and developing engineering leaders.
- Like taking ownership of ambiguous technical challenges, establishing a clear strategy, and bringing teams together to execute.
- Are passionate about building large-scale systems where reliability, performance, and efficiency directly impact the business.
- Enjoy partnering with senior engineers, challenging technical assumptions, and helping teams make thoughtful architectural decisions.
- Take pride in building high-performing teams, developing future leaders, and raising the engineering bar.
- Want to shape the runtime foundation supporting Sentry's products and AI capabilities for years to come.
QUALIFICATIONS
- 12+ years of experience in backend, platform, or infrastructure engineering, with significant experience designing and operating large-scale distributed systems.
- Director-level engineering management experience, or equivalent senior engineering leadership experience overseeing multiple teams at comparable scale and complexity.
- Deep technical expertise in at least one of the following domains:
- OLTP databases
- OLAP databases
- Real-time compute and stream processing
- Blob/object storage
- Distributed caching
- Demonstrated experience driving significant architectural changes, including evaluating technical tradeoffs, establishing direction, and leading implementation.
- Strong technical judgment and the ability to engage deeply in architectural discussions across multiple distributed systems domains.
- Proven track record of leading complex, cross-functional engineering initiatives from strategy through execution, with measurable technical or business impact.
- Experience hiring, developing, and leading engineering managers and senior technical talent.
- Strong communication and organizational leadership skills, with the ability to articulate technical concepts, influence senior stakeholders, and align teams around a shared strategy.
- Experience operating mission-critical infrastructure with a strong understanding of reliability, scalability, performance, and operational efficiency.
The base salary range that Sentry reasonably expects to pay for this position is $300,000 to $450,000 USD, plus an annual performance bonus of up to 20% of base salary. A successful candidate’s actual base salary amount will be determined by a variety of relevant factors including, without limitation, the candidate’s work location, education, work and other relevant experience, skills, and job-related knowledge. A successful candidate will be eligible to participate in Sentry’s employee benefit plans/programs applicable to the candidate’s position (including incentive compensation, equity grants, paid time off, and group health insurance coverage). See Sentry Benefits https://sentry.io/careers/ for more details about the Company’s benefit plans/programs.
EQUAL OPPORTUNITY AT SENTRY
Sentry is committed to providing equal employment opportunities to its employees and candidates for employment regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, or other legally-protected characteristic. This commitment includes the provision of reasonable accommodations to employees and candidates for employment with physical or mental disabilities who require such accommodations in order to (a) perform the essential functions of their jobs, or (b) seek employment with Sentry. We strive to build a diverse team, with an inclusive culture where every teammate can thrive. Sentry is an open-source company because we believe that everyone, everywhere, should have the ability and tools to make great software. Software should be accessible. That starts with making our industry accessible.
If you need assistance or an accommodation due to a disability, you may contact us at accommodations@sentry.io.
Want to learn more about how Sentry handles applicant data? Get the details in our Applicant Privacy Policy https://sentry.io/careers/applicantprivacy/.
As a Solutions Engineer at Onebrief, you work where mission, engineering, and compliance meet. You'll own technical solution design and deployment readiness, translating customer requirements into secure, scalable deployment architectures.
Location: San Francisco, CA | New York City, NY | Seattle, WA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
Anthropic is looking for a Communications Lead to own external communications for the Claude Platform, our API. The Claude Platform is how many of our customers put Claude to work, and this role shapes how that work is understood beyond Anthropic: from flagship product launches to the steady cadence of capability releases and developer-facing news.
You'll sit on the Product Communications team and work day to day with the Platform product and engineering teams, Product Marketing, and Developer Relations.
You should understand how developers and enterprises actually build with APIs and be comfortable engaging with developer tools and hold a clear point of view on what makes a product land.
Key responsibilities
Own communications for the Claude Platform end to end: capability releases, product updates, and the steady cadence of developer-facing news
Build and maintain strong relationships with the journalists, newsletter writers, and creators covering AI platforms, enterprise software, and the API economy
Prepare Platform leaders to be effective spokespeople for press, podcasts, panels, and the smaller moments in between
Partner with Product and Engineering to align external narratives with how these products are sold and supported, and surface customer feedback back to the teams who can act on it
Work across press, social, owned, and community channels, with the judgment to know which one carries a given moment and when to coordinate more than one at once
Minimum qualifications
Experience in communications, PR, or product marketing, including meaningful time on platform, API, developer, or enterprise products
An understanding of both developer culture and enterprise buying, and the judgment to read timing and tone when the conversation around AI gets noisy
Strong instincts for which product moments deserve the spotlight and which don't, and genuine curiosity about what makes a launch land
A demonstrated ability to operate with high agency and low ego, with a bias to action
Preferred qualifications
8-10 years of experience in communications, PR, or product marketing
Communications experience at a developer platform, API-first, or enterprise software company
Existing relationships with reporters and analysts covering AI platforms, enterprise tech, or the developer ecosystem
Experience managing communications for AI or ML products
Are very online: you follow the right channels, know what's moving through Hacker News and developer social chatter, and catch things early
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$265,000
—
$295,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: New York, NY
Flex is a growth-stage, NYC headquartered FinTech company that is building the payment layer for life's financial obligations, giving households one place to see, split, and pay their bills around how they live and get paid. By offering greater choice over how and when payments are made and allowing eligible on time payments to help build a positive credit history, Flex puts households back in control of their cash flow.
That work brings together people with different perspectives who challenge the status quo and take ownership of solving difficult problems. For you, that means doing the best work of your career next to people who make you better, and together bringing ideas to life that make a real impact for the people we serve.
About the role
The Consumer Protection Team (CPT) is Flex's internal champion for the customer, setting the standard for excellence across the customer journey, and pushing the company to create greater, tangible customer good. At Flex, we serve our customers for their most critical expenses – which means this team must set the bar exceptionally high.
As a Senior Manager, you’ll partner directly with the Senior Director of the Consumer Protection Team to drive some of our highest-impact projects. This is an exceptional opportunity for a gritty, entrepreneurial problem-solver with a genuine commitment to consumer impact, able to toggle between strategy and execution. Working closely with Strategy & Operations, Analytics, and customer-facing departments such as Product and Customer Success, this role will identify and quantify customer experience insights and pain points, collaborate on solutions, and build the customer-first system required to achieve our ambitious goals for the future. The ideal candidate must have a passion for customer impact, robust analytical toolkit, strong collaboration skills, and the tenacity to solve problems and drive prioritization through uncertainty. This role will provide frequent exposure to Flex’s Executive Team, giving hands-on experience with what it takes to lead and operate a world-class consumer fintech. The ideal candidate will be comfortable producing both rigorous data analysis and exec-ready deliverables from day one, working autonomously or together with your team.
This is a hybrid position with on-site expectations of 3 days per week in our New York Headquarters. For candidates outside of the NY/NJ area, you may be eligible for our relocation assistance program.
What you’ll do
Build our strategy:
Partner with your team leader (Senior Director of the Consumer Protection Team) to set strategy and translate it into tangible near-term goals and frameworks that ensure tight execution.
Identify what matters:
Apply your business knowledge and analytical skills to pinpoint the challenges that matter most, then partner with Analytics and Data Science to rapidly test new hypotheses and build lasting infrastructure around the insights you discover.
Drive cross-functionally:
Work with Product Managers and other functional leads to ensure we are effectively prioritizing customer experience priorities across the business.
Influence the organization:
Distill progress into executive-level reports, facilitating reviews to ensure the right strategic conversations are had. Communicate effectively with senior stakeholders, navigating complex problem sets with agility.
Deliver with velocity:
Manage a diverse portfolio of projects, adapting rapidly to shifting priorities. Operate at top-decile levels of speed and productivity, dealing constructively with pressure and debate.
Key qualifications
5+ years of relevant work experience, ideally in management consulting and/or S&O, Biz Ops, or Chief of Staff roles at high-growth companies
Entrepreneurial mindset, energized by the ambiguity and pace of 0-to-1 building
Thrive in fast-paced, dynamic environments and maintain composure amid competing priorities
Exceptional conceptual thinker who can move fluidly from strategy to execution and make amorphous problems tractable (“fog sculpting”)
Strong bias for action, paired with obsessive attention to detail and a high bar for work quality
Well honed interpersonal skills; able to drive results through others without compromising relationships and rapport
Excellent written and verbal communicator, able to distill complexity into clear, executive-ready narratives
Exceptionally analytical, adept at identifying the right metrics and rigorously interrogating data, both independently and through others; SQL proficiency preferred, but not required
Demonstrated AI fluency: you actively leverage AI tools to accelerate analysis, improve team workflows, and drive better decisions, and you set the standard for how your team uses them
Genuine passion for “doing right” by our customers; we care about our mission, and you should, too!
Compensation
Flex takes a market-based approach to pay, ensuring compensation is commensurate with a candidate's experience and our internal leveling guidelines. For candidates located in our Tier 1 (NYC/Bay Area) and Tier 3 (Salt Lake City) markets, the base salary pay range for this role is below. Flex utilizes a geographic pay differential based on a cost of labor index. If you are located outside of the cities listed below, your starting pay will be adjusted to align with the market conditions of your specific geographic zone. Please speak with your recruiter for additional information regarding the specific range for your location.
Tier 1 (NYC/Bay Area)
$184,000
—
$230,000 USD
Tier 3 (Salt Lake City)
$155,000
—
$195,000 USD
Life at Flex
Building a successful company takes a diverse team of intelligent, curious, determined, empathetic, and self-aware people. Our headquarters is in New York City, with employees across the US, Australia, Canada, and South America. We’re growing quickly and deliberately, with a focus on building an inclusive culture. We value the perspectives our people bring and take pride in being an equal opportunity workplace.
Offices
Roles posted in New York, San Francisco, and Salt Lake City are hybrid positions with on-site expectations of 2-3 days per week in our local offices. For candidates outside of these areas, you may be eligible for our relocation assistance program.
Benefits
View our benefits and more at
getflex.com/careers
.
Location: Miami, United States
Workplace: on-site
Our client, a small, student-centered K–12 private school, is seeking a
Principal
who is approachable, adaptable, and ready to become an active part of its community!
The ideal candidate combines clear expectations with compassion, communicates thoughtfully, and takes time to understand the school’s culture before introducing changes.
Serving up to 150 students, including preschool, the school offers small classes and an individualized approach to education. You’ll work directly with leadership, build meaningful relationships with families and staff, and see the impact of your work every day. This is a
non-teaching administrative role with the potential to grow into a School Director position
.
Responsibilities
Partner with school leadership to oversee daily operations and maintain a supportive, organized learning environment.
Guide and support teachers and staff, setting clear expectations, building trust, and encouraging collaboration.
Build strong relationships with parents through proactive communication and thoughtful resolution of concerns.
Support student well-being and address behavioral concerns with care, clear boundaries, and an individualized approach.
Learn and uphold the school’s established practices while identifying opportunities for improvement.
Help strengthen student retention, family satisfaction, and school growth.
Take on increasing leadership responsibility as familiarity with the school develops.
Relevant experience in K–12 school administration, educational leadership, or a comparable role.
Experience supporting staff and working closely with students and families.
Strong communication, organizational, and problem-solving skills.
A warm, approachable leadership style, with the confidence to handle difficult conversations and make sound decisions.
Adaptability, openness to feedback, and a willingness to learn from existing leadership.
Respect for an established school culture and a collaborative approach to change.
Commitment to student-centered education and supportive discipline.
Why Join?
Make a visible difference in a small school where your contributions directly affect students, families, and teachers.
Work closely with leadership and play an active role in the school’s continued development.
Build meaningful relationships in a close-knit community with small classes.
Grow into a School Director role based on performance and organizational needs.
Location: San Francisco, CA
Workplace: OnSite
ABOUT US
Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia.
We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do.
Sierra was co-founded by Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/ who first met while working together at Google over 20 years ago. Bret currently serves as Chairman of the Board of Open AI. Previously, he was co-CEO of Salesforce and CTO of Facebook. Clay spent 18 years at Google, where he most recently led Google Labs.
WHAT YOU'LL DO:
- As an Executive Assistant supporting the leadership function at Sierra, you will provide a wide range of strategic and administrative support to our General Counsel and our Partnerships leaders.
- Proactively manage several leaders' calendar, travel, and meetings.
- Collaborate with leaders and team members to ensure meetings are effective by sending preparation materials, following up on action items, and serving as a knowledgeable resource on relevant topics or organizational matters.
- Draft team and external correspondence on behalf of the leader. Liaise with internal staff and external stakeholders, building and maintaining strong relationships on behalf of the leader.
- Maintain a high level of confidentiality and discretion with all materials and information.
- Plan and execute internal events (in-person and virtual), including team offsites, trainings, and team travel. Book travel and hotel accommodations, negotiating contracts as needed.
- Establish new—and improve existing—administrative systems and processes as part of Sierra’s founding admin team.
WHAT YOU'LL BRING:
- 5+ years of Executive Assistant or similar experience.
- Ability to build relationships and partner effectively with cross-functional teams and external partners.
- Excellent time management skills, willingness and ability to quickly shift tasks and priorities, and anticipate the needs of others before they arise.
- Ability to organize, analyze, and prioritize executive workflows, often interpreting and leveraging data.
- Willingness and ability to be in the San Francisco office 4 days per week and ability to travel with leaders if needed (~est 1x per quarter).
- Advanced proficiency with Google Suite & Slack.
EVEN BETTER...
- Experience in a fast-growing, in-person start-up environment.
OUR VALUES
- Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work.
- Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it.
- Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve.
- Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time.
- Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements.
WHAT WE OFFER
We want our benefits to reflect our values and offer the following to full-time employees:
- Flexible (unlimited) paid time off
- Medical, dental, and vision benefits for you and your family
- Life insurance and disability benefits
- Retirement plan dependent on country of employment
- Parental leave
- Fertility and family building benefits
- Lunch, as well as delicious snacks and coffee to keep you energized when working onsite
- Discretionary benefit stipend giving people the ability to spend where it matters most
- Free alphorn lessons
These benefits are further detailed in Sierra's policies, may vary by region and employment type, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies.
BE YOU, WITH US
We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply through the link on this page even if your experience doesn't precisely match the job description.
Sierra is a proud equal opportunity employer. All qualified applicants will receive consideration for employment without regard to any characteristic protected by applicable federal, state or local laws, including veteran status and disability status. Hiring decisions are made by people, based on merit. If you need a reasonable accommodation for a disability, a religious practice, pregnancy or any related condition at any point in the application or interview process, contact us at accommodations@sierra.ai. Requests are handled confidentially and do not affect your candidacy.
We will consider qualified applicants with arrest and conviction records in accordance with applicable fair chance laws.
Location: Animal Care Center - Baxter, Minnesota
Associate Veterinarian | Baxter, MN (Brainerd Lakes Area)
Up to $140,000 Base Salary with No Negative Accrual + $50,000 Sign-On/Relocation Bonus
No Regular Weekends | Monday-Friday Schedule | Full & Part-Time Available
Love veterinary medicine. Love where you live, too.
Animal Care Center
is seeking an
Associate Veterinarian
to join our established three-doctor small animal practice in beautiful Baxter, Minnesota.
Whether you're an experienced DVM looking for a long-term home or a new graduate seeking exceptional mentorship, you'll find a collaborative team, experienced support staff, loyal clients, and a culture that truly values its people.
With a predictable
Monday-Friday, 8 AM-5 PM schedule
, you'll have the time to enjoy everything the Brainerd Lakes Area has to offer, from boating and fishing to hiking, golf, snowmobiling, and skiing.
Why Veterinarians Choose Animal Care Center
Supportive Team Environment
Our high technician-to-doctor ratio and long-tenured support staff allow our veterinarians to focus on practicing great medicine. Many team members have been with us for
5, 10, and even 20+ years
.
Collaborative Culture
You'll work alongside experienced doctors who genuinely enjoy helping each other. Challenging cases are approached as a team, not alone.
Meaningful Mentorship
New graduates receive hands-on mentorship and guidance to build confidence and clinical skills. Experienced veterinarians will find opportunities for continued growth and development.
Loyal, Engaged Clients
Build lasting relationships with pet owners who trust your recommendations and value quality veterinary care.
Work-Life Balance
Monday-Friday, 8 AM-5 PM
No regular weekends
Full-time and part-time opportunities available
Compensation & Benefits
Compensation
Up to
$140,000 base salary
$50,000 sign-on/relocation bonus
Production bonuses with
no negative accrual
Benefits
Up to 5 weeks PTO
$2,500 CE allowance plus CE PTO
401(k) with company match
Medical, dental, and vision insurance
Company-funded HSA contribution
Paid parental leave
Employer-paid life, STD, and LTD insurance
AVMA membership and PLIT coverage
Employee pet discounts
Employee Assistance Program
Additional voluntary benefit options
Fun team events!
Why Baxter & the Brainerd Lakes Area?
Imagine finishing work at 5 PM and heading straight to the lake, golf course, hiking trail, or snowmobile trail. The Brainerd Lakes Area offers an exceptional quality of life, affordable living, outdoor recreation, and a welcoming community where you can build both a successful veterinary career and a fulfilling personal life.
Ready to Find Your Veterinary Home?
If you're looking for experienced teammates, strong mentorship, quality medicine, loyal clients, and a schedule that gives you your evenings and weekends back, we'd love to connect with you.
For more information or to apply, contact Joe Rusk
, Talent Acquisition Partner
, at
Joe.rusk@lakefieldvet.com
or apply through
careers.lakefieldvet.com
.
Keywords: Veterinarian, Associate Veterinarian, DVM, Minnesota Veterinaria, #LI-MS1
Compensation Range
$120,000
—
$140,000 USD
Location: London
Workplace: onsite
THE OPPORTUNITY
We are building Watcher, a coding agent security product. Watcher is deployed in production and monitors billions of agent tokens per month across engineering teams at agent-building scale-ups and multinational enterprises.
We are hiring our founding Account Executive. You will own the sales cycle from qualified interest to signed contracts and build the playbook the rest of the GTM team runs on.
Our deals start with a security champion: a principal security engineer or director of product security who has seen what coding agents do inside their org and wants Watcher. Deals are won by taking that champion's interest and moving it through the rest of their organisation to a committed evaluation: the platform team that thinks it could build this itself, the CISO who has to sponsor it, the procurement and legal functions that have to let it in. That handoff, including the build-vs-buy conversation, is where deals stall today. Running it well is the core of this job.
We are hiring forward-deployed engineers (FDEs) who run the technical evaluation with you. You own the commercial thread: who needs to say yes, what the evaluation has to prove, and how it converts. You'd work closely with our GTM lead and GTM associate who owns the top of the funnel.
KEY RESPONSIBILITIES
Convert a champion into an evaluation
Find the champion in each qualified account, arm them with what they need to sell internally, and map who else has to say yes.
Run the build-vs-buy conversation with platform and security engineering teams on its merits: what they would have to build, maintain and be on the hook for, against what Watcher already does.
Secure an executive sponsor and convert interest into a scoped proof of value (POV) with success criteria agreed up front.
Run evaluations to a decision, with FDEs
Partner with FDEs on technical evaluations. They run the technical work; you keep the evaluation pointed at the decision: momentum, stakeholder coverage, and the commercial case.
Build the commercial and ROI case that secures executive-level investment.
Own commercial negotiation, security review, procurement and close in multi-stakeholder cycles involving security, engineering, procurement, legal and executive decision-makers.
Create the way in
Identify warm introductions paths via investors, advisors, clients, partners and networks. Brief connectors and draft the messaging that makes the introduction land.
Capitalise on high-value engagement opportunities: speaking panels, hosted roundtables, buyer communities and embedded partners.
Work with the GTM team on targeted outbound into segments where we have something specific to offer.
Build the playbook and hire the team
Write down what works: qualification criteria, discovery questions, the build-vs-buy argument, POV structure, pricing guidance, objection handling, security questionnaire answers.
Report on pipeline health, stage conversion and what is working well enough to double down on.
Product and market insights
Bring honest signals back about why deals progress or stall, and what buyers compare us against when they consider building it themselves.
Work with the product team on positioning, pricing, and the collateral enterprise buyers actually ask for.
REPRESENTATIVE PROJECTS
Turn a champion into a buyer.
Take an account where a principal security engineer loves the product and nothing has moved for two months. Map who else needs to say yes, run the build-vs-buy conversation with the platform team, get an executive sponsor, and convert it into a scoped evaluation with success criteria and a date.
Compress the cycle.
Enterprise evaluations in this market routinely take longer than they need to. Take the process apart with the FDEs, work out where the time actually goes, and rebuild it so an evaluation reaches a decision faster.
Land a lighthouse enterprise
. Take a large, slow, security-conscious organisation from first conversation through technical evaluation, security review and procurement to a production contract, and turn the process into a documented path the next one can follow.
Write the playbook.
By the time we add the next two people to this team, the thing that gets them productive in a month rather than six should be something you wrote.
JOB REQUIREMENTS
Must-haves
5+ years in GTM
, with a track record of closing five- and six-figure ACV technical deals as an AE into engineering or security organisations. You have personally taken a technical champion's interest through the rest of their org to a signed contract, and you have won the build-vs-buy argument more than once. Proven success selling a technical product to technical buyers matters more to us than total AE tenure.
Early-stage experience.
You have sold at an early-stage company before it had a machine.You have 2+ years in a startup without mature marketing, no SDR team, no brand recognition doing the work for you. You generated your own pipeline, decided what to work on, and wrote down what worked.
Technical credibility with a technical buyer
. Our buyers are directors of product security, principal security engineers and engineering leaders. You can run discovery with them, understand the architecture well enough to be useful and know when to bring in an FDE.
Strong nice-to-haves
You have closed into large, slow organisations. Our pipeline includes banks, quant funds and enterprise technology companies. You have run deals through security review, architecture review and procurement, and have a realistic sense of how long that takes and how to compress it.
You have sold security, developer tools, or infrastructure.
Non-linear background. Former founder, operator, or a hybrid role that combined selling with product or strategy.
Explicitly not required
Formal AI safety background. We need an excellent seller who can learn the AI safety context, and we will teach you what you need to know.
Management experience. This starts as an individual contributor role.
BENEFITS
This role offers market competitive salary, equity, and competitive benefits.
Base Salary:
£85,000 - £129,000;
Variable: performance incentives against ARR targets
Everyone at Apollo effectively has an unlimited token budget. If a better result costs more compute, use it.
Flexible work hours and schedule
Unlimited vacation
Unlimited sick leave
Up to 6 months of paid parental leave
Comprehensive health, dental and vision insurance
Retirement savings with competitive employer matching
Lunch, dinner, and snacks are provided for all employees on workdays
Paid work trips, including staff retreats, business trips, and relevant conferences
A yearly $1,000 (USD) professional development budget
Relocation support and visa fees (if applicable)
LOGISTICS
Time Allocation:
Full-time
Location:
This is an in-person role working out of our London office, with regular travel to conferences and customer sites. We offer flexible working hours and some wfh arrangements.
Visa sponsorship:
We sponsor visas in the UK. Sponsorship isn't guaranteed for every role or candidate, but if we make you an offer, we'll work with you to find the right visa route.
ABOUT THE TEAM
You will work directly with Kyle Dai, our GTM lead and GTM associate on the pipeline, as well as the FDEs we're hiring to run the technical evaluations alongside you. Marius Hobbhahn (CEO) advises the team. You will also interact with our other SWEs and researchers, since we intend to be "our own customer" by using our products internally for our research work. You can find our full team here.
ABOUT APOLLO RESEARCH
The rapid rise in AI capabilities offers tremendous opportunities, but also presents significant risks. At Apollo Research, we're primarily concerned with risks from Loss of Control, i.e. risks coming from the model itself rather than e.g. humans misusing the AI. We're particularly concerned with deceptive alignment / scheming, a phenomenon where a model appears to be aligned but is, in fact, misaligned and capable of evading human oversight.
We work on the science of scheming, detection of scheming (e.g. building evaluations), and scheming mitigations (e.g. anti-scheming). We also work on control and monitoring research (see our scalable monitoring agenda). We work closely with many frontier AI companies, such as OpenAI, Anthropic, Google, Meta, Thinking Machines and others, e.g. to test their models and collaborate on the science of scheming. At Apollo, we aim for a culture that emphasizes truth-seeking, being goal-oriented, giving and receiving constructive feedback, and being friendly and helpful. If you're interested in more details about what it's like working at Apollo, you can find more information here.
We also build a coding agent security product called Watcher that secures agent deployments in companies. Our goal is to reduce the probability of catastrophic incidents by securing coding agents, learning about their real-world risks, and publishing our research on how to build these control systems most effectively.
Equality Statement: Apollo Research is an Equal Opportunity Employer. We value diversity and are committed to providing equal opportunities to all, regardless of age, disability, gender reassignment, marriage and civil partnership, pregnancy and maternity, race, religion or belief, sex, or sexual orientation.
HOW TO APPLY
Please complete the application form with your CV. The provision of a cover letter is neither required nor encouraged. Please also feel free to share links to relevant work samples, including anything you have written.
About the interview process: Our multi-stage process includes a screening interview, a take-home exercise (2-3 hours), 2-3 technical interviews, and a final interview with Marius (CEO). If you want to prepare, we suggest using a coding agent heavily for a week and forming your own view on who should be buying something like Watcher, and why.
Your Privacy and Fairness in Our Recruitment Process: We are committed to protecting your data, ensuring fairness, and adhering to workplace fairness principles in our recruitment process. To enhance hiring efficiency, we use AI-powered tools to assist with tasks such as resume screening. These tools are designed and deployed in compliance with internationally recognized AI governance frameworks. Your personal data is handled securely and transparently. All resumes are screened by a human and final hiring decisions are made by our team. If you have questions about how your data is processed or wish to report concerns about fairness, please contact us at info@apolloresearch.ai.
Location: London
Workplace: onsite
THE OPPORTUNITY
We are building Watcher, a coding agent security product. Watcher is deployed in production and monitors billions of agent tokens per month across engineering teams at agent-building scale-ups and multinational enterprises.
We are looking for our first Go-To-Market Associate to build Watcher's pipeline engine and bring a qualified pipeline to the Founding Account Executive.
Think of the role as a BDR / GTM engineer hybrid. Half the work is finding and reaching the right people inside the right companies. The other half is building the systems that make that repeatable: signal detection, enrichment, sequencing, reporting. A good chunk of this job should be automating the previous version of this job.
There is no marketing function for Watcher today. Until there is, you own the parts of marketing that produce the pipeline: events, target personas, and getting our research in front of the people who should read it. Our ideal customer profile and target market are set together with product and the GTM lead. Within those accounts, you decide who we reach, how we reach them, and which experiments we run to find out which segments are real.
You will work directly with our GTM lead. As we grow, this role can develop toward owning deals as an account executive, GTM engineering and operations, or partnerships, depending on where your strengths are.
KEY RESPONSIBILITIES
Build the pipeline engine
Work out which companies are deploying coding agents at scale, who inside them feels the problem, and which of them we should spend time on.
Research accounts and people. Work out whether we have something useful for this person and what it is.
Personalize the outreach. Short, specific, honest messages that a busy security engineer will reply to.
Run outbound as a set of experiments rather than a volume target: test segments, messages, and channels against each other, read the results honestly, and kill what is not working.
Hand qualified conversations to the AE and GTM lead with the context they need to run them well.
Pipeline operations and tooling
Turn repeated manual work into tooling: signal detection for who has started deployment agents, enrichment, sequencing, CRM automation, and the reporting that shows what top of funnel is actually producing.
Maintain best-in-class CRM hygiene: accurate notes, activity logging, dispositions, and next actions. Everyone has visibility where every live opportunity stands and what it is waiting on.
Events and conferences
Own the conference motion end to end. Decide which events are worth attending. Attendee research and prioritisation, pre-show outreach, booked meetings before the doors open, logistics on the day, and follow-up out within 48 hours.
Make the team effective in the room: briefs on who is coming, what they care about, and what we want out of each conversation.
REPRESENTATIVE PROJECTS
Build the signal engine.
Write the thing that tells us which companies started deploying coding agents at scale this month, from job posts, engineering blogs, change logs, conference talks and hiring patterns. Score them, attach the right persona, and drop them into the CRM ready to work.
Own a conference end to end.
Take a sponsored conference: work the attendee list, research and rank who is worth our time, run the pre-show outreach, land a target number of booked meetings before day one, and have every follow-up sent within 48 hours of the close. Write up the parts worth repeating.
Make how we approach a new account repeatable.
Turn the way we research and open a company into something anyone here could run, and then into something that mostly runs itself.
JOB REQUIREMENTS
Must-haves
Around 2+ years in a role
where you had to find and open conversations with people who did not know you, and nobody handed you a list: early-stage BDR or SDR, founder's associate, consulting where you were involved in business development or building a practice, solutions or customer-facing engineering, or running your own thing. You do not need to be a formally trained salesperson. If you've built pipeline from scratch in another context, we'd love to hear about it.
You have a track record of building:
You can show us something you built to avoid doing a task twice e.g. a scraper, an enrichment flow, a CRM automation, a vibe-coded internal tool.
High agency and ownership.
You see what needs doing and do it. When something stalls, you find out why and move it, rather than reporting that it is stalled. You want the responsibility of deciding where our effort goes, not just executing a list.
Startup pace.
Excited by a fast-moving environment, comfortable with ambiguity and changing priorities, and willing to grind when it matters.
Technically curious.
You need to get interested in how coding agents work and how they fail, well enough to hold a credible conversation with a security engineer and know when to hand off to someone deeper.
Strong nice-to-haves
Background in cyber security, developer tools, or AI/ML
Comfortable leveraging AI heavily
for tooling, research, drafting and operations, while holding the output to a high standard.
Experience in founder-led sales.
You have supported a founder or a first GTM hire directly and understand how that relationship works.
Comfort with GTM tooling and light scripting.
CRM, enrichment, outbound tooling, or anything you have built yourself to avoid doing something twice.
Explicitly not required
Formal AI safety background.
We need an excellent operator who can learn the AI safety context, and we will teach you what you need to know.
A sales title.
BENEFITS
This role offers market competitive salary, equity, and competitive benefits.
Base Salary:
£72,000 - £98,000;
Variable: performance incentives against ARR/qualified pipeline targets.
Everyone at Apollo effectively has an unlimited token budget. If a better result costs more compute, use it.
Flexible work hours and schedule
Unlimited vacation
Unlimited sick leave
Up to 6 months of paid parental leave
Comprehensive health, dental and vision insurance
Retirement savings with competitive employer matching
Lunch, dinner, and snacks are provided for all employees on workdays
Paid work trips, including staff retreats, business trips, and relevant conferences
A yearly $1,000 (USD) professional development budget
Relocation support and visa fees (if applicable)
LOGISTICS
Time Allocation:
Full-time
Location:
This is an in-person role working out of our London office, with regular travel to conferences and occasional travel to customer sites. We offer flexible working hours and some WFH arrangements.
Visa sponsorship:
We sponsor visas in the UK. Sponsorship isn't guaranteed for every role or candidate, but if we make you an offer, we'll work with you to find the right visa route.
ABOUT THE TEAM
You will work directly with Kyle Dai, our GTM lead, and alongside the our founding Account Executive who runs the deals your pipeline feeds. Marius Hobbhahn (CEO) advises the team. You will also interact with our other SWEs and researchers, since we intend to be "our own customer" by using our products internally for our research work. You can find our full team here.
ABOUT APOLLO RESEARCH
The rapid rise in AI capabilities offers tremendous opportunities, but also presents significant risks. At Apollo Research, we're primarily concerned with risks from Loss of Control, i.e. risks coming from the model itself rather than e.g. humans misusing the AI. We're particularly concerned with deceptive alignment / scheming, a phenomenon where a model appears to be aligned but is, in fact, misaligned and capable of evading human oversight.
We work on the science of scheming, detection of scheming (e.g. building evaluations), and scheming mitigations (e.g. anti-scheming). We also work on control and monitoring research (see our scalable monitoring agenda). We work closely with many frontier AI companies, such as OpenAI, Anthropic, Google, Meta, Thinking Machines and others, e.g. to test their models and collaborate on the science of scheming. At Apollo, we aim for a culture that emphasizes truth-seeking, being goal-oriented, giving and receiving constructive feedback, and being friendly and helpful. If you're interested in more details about what it's like working at Apollo, you can find more information here.
We also build a coding agent security product called Watcher that secures agent deployments in companies. Our goal is to reduce the probability of catastrophic incidents by securing coding agents, learning about their real-world risks, and publishing our research on how to build these control systems most effectively.
Equality Statement: Apollo Research is an Equal Opportunity Employer. We value diversity and are committed to providing equal opportunities to all, regardless of age, disability, gender reassignment, marriage and civil partnership, pregnancy and maternity, race, religion or belief, sex, or sexual orientation.
HOW TO APPLY
Please complete the application form with your CV. The provision of a cover letter is neither required nor encouraged. Please also feel free to share links to relevant work samples, including anything you have written.
About the interview process: Our multi-stage process includes a screening interview, a take-home exercise (2-3 hours), 2-3 technical interviews, and a final interview with Marius (CEO). If you want to prepare, we suggest using a coding agent heavily for a week and forming your own view on who should be buying something like Watcher, and why.
Your Privacy and Fairness in Our Recruitment Process: We are committed to protecting your data, ensuring fairness, and adhering to workplace fairness principles in our recruitment process. To enhance hiring efficiency, we use AI-powered tools to assist with tasks such as resume screening. These tools are designed and deployed in compliance with internationally recognized AI governance frameworks. Your personal data is handled securely and transparently. All resumes are screened by a human and final hiring decisions are made by our team. If you have questions about how your data is processed or wish to report concerns about fairness, please contact us at info@apolloresearch.ai.
Location: Goodyear, United States
Workplace: onsite
Role type: Part-time, Onsite
Location: Goodyear, Arizona
Seeking dedicated and qualified Adjunct Instructors to join our team at Avila University Arizona. As an Adjunct Instructor, you can teach campus-based, hybrid and online undergraduate and graduate courses. We seek individuals with expertise in various disciplines, including Business, Accounting, Finance, Economics, Marketing, Management, Leadership, Organizational Behavior, Law, English, Communications, Psychology, Social Work, and Technology (Cybersecurity, Computer Science, Analytics).
When applying, please specify in your Cover Letter which subject areas you are applying for. Successful candidates will be added to our adjunct faculty pool. Teaching assignments for the upcoming terms, which runs through May 2027, will be distributed from this pool based on course availability and enrollment.
Responsibilities:
Deliver high-quality online/hybrid instruction using synchronous or asynchronous methods.
Disciplines needed: Cybersecurity, Computer Science, Business (Accounting, Finance, Economics, Marketing, Management, Leadership, Org Behavior, Law), English, Communications, Psychology, Social Work)
Utilize best practices in teaching for online accelerated adult programs.
Employ effective teaching strategies that accommodate diverse student abilities, levels of preparation, and cultural backgrounds. Perform additional duties related to assigned courses as required.
Summary of role:
Instruction & Delivery
Deliver high-quality online and hybrid instruction using in-person, synchronous and asynchronous methods.
Utilize best practices in teaching for online, accelerated adult graduate programs.
Employ effective teaching strategies that accommodate diverse student abilities, professional backgrounds, and learning styles.
Integrate real-world business datasets and industry case studies into course curriculum to ensure practical applicability.
Mentorship & Student Support
Assist students in navigating challenges encountered during their coursework, providing actionable feedback and solutions.
Foster a collaborative learning environment where students are encouraged to reflect on their technical practice and innovate.
Collaboration & Coordination
Collaborate with university faculty and program directors to ensure curriculum alignment with current industry trends in the subject areas.
Participate in faculty meetings and professional development activities to stay updated on best practices in STEM education and emerging AI technologies.
Professional Development
Engage in ongoing professional development to enhance expertise in instructional technologies, instructional methods, and assessment practices.
Stay informed about current research and trends in the subject area, incorporating relevant knowledge into course content.
Administrative Duties
Maintain accurate records of student grades, project evaluations, and attendance within the university’s learning management system.
Ensure compliance with university academic standards and accreditation requirements.
Assist in the coordination of programmatic assessments to monitor the effectiveness of the curriculum.
Qualifications:
For undergraduate courses, a Master's or Doctorate in the relevant discipline is required, along with practical work experience in the course topic.
Experience in synchronous or asynchronous teaching is highly desirable.
An Ed. D. or Ph.D. in the relevant discipline and everyday practical work experience are preferred for graduate courses. A Master's degree in the course discipline and substantive work experience in the associated career can be accepted.
Demonstrate a commitment to excellence in teaching.
Teaching experience with a diverse population (preferred).
Experience with a Learning Management System such as Canvas (preferred).
Experience with effective methods for engaging students through online learning (preferred)
Ability to contribute to a climate that supports a diverse student body, serves first-generation college students, multilingual learners, and contributions to equity and social justice through their work.
Multilingual skills highly preferred.
Terms of Employment:
FLSA Status:
Exempt
Communication:
Maintains communication with various Faculty, staff, and external constituents in the performance of role. Must be professional in all communications as a representative of the senior administrative team. Utilizes existing technology effectively in the performance of duties.
Reasoning Ability:
Ability to solve practical problems and deal with a variety of concrete variables in situations where only limited standardization exists. Ability to interpret a variety of instructions furnished in written, oral, diagram, or schedule form.
Language Skills:
This position requires the ability to read, write, understand and communicate in English. Functions of the job include: pertinent laws, codes, policies, and/or regulations; personnel processes; curriculum adoption process; program planning and development; and learning styles and curriculum models. Ability is required to schedule a number of activities, meetings, and/or events; often gather, collate, and/or classify data; and use job-related equipment. Flexibility is required to independently work with others in a wide variety of circumstances; analyze data utilizing defined but different processes; and operate equipment using standardized methods. Ability is also required to work with a significant diversity of individuals and/or groups; work with data of widely varied types and/or purposes; and utilize a variety of job-related equipment. Independent problem solving is required to analyze issues and create action plans. Problem solving with data frequently requires independent interpretation of guidelines; and problem solving with equipment is moderate to significant.
Physical Demands:
The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. While performing the duties of this job, the employee is regularly required to sit, be mobile in an office environment, stand, read, use a keyboard, and communicate audibly in person and by telephone and video technology. Specific vision abilities required by this job include close vision, distance vision, and depth perception.
Work Environment:
The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. The noise level in the work environment is usually moderate and is a standard acceptable level for this environment.
Other Skills/Abilities:
Ability to establish and maintain effective working relationships with university employees, community members, external parties, Board members, and senior administrators; ability to speak clear and concisely in written or oral communication and ability to maintain professional decorum.
Evaluation:
Performance of this position will be evaluated in accordance with Avila University policy.
The information contained in this description is for compliance with the Americans with Disabilities Act (A.D.A.) and is not an exhaustive list of the duties performed for this position. The individual currently holding this position performs additional duties and additional duties may be assigned.
Avila University is an Equal Opportunity Employer and does not discriminate on the basis of race, religion, color, national origin, sex, age, tenure, disability or any other factors that cannot be lawfully considered in its programs and activities as required by all applicable laws and regulations.
Avila University reserves the right at any time, with or without notice, to alter or change job responsibilities, reassign or transfer job positions or assign additional responsibilities.
We will screen all applicants and select candidates whose qualifications meet our requirements. We will carefully consider your application during the initial screening and will contact you if you are selected to continue for the next stage of the recruitment process. We wish you every success in your job search.
Location: Goodyear, United States
Workplace: onsite
Role type: Part-time, Onsite
Location: Goodyear, Arizona
Seeking dedicated and qualified Adjunct Instructors to join our team at Avila University Arizona. As an Adjunct Instructor, you can teach campus-based, hybrid and online undergraduate and graduate courses. We seek individuals with expertise in various disciplines, including Business, Accounting, Finance, Economics, Marketing, Management, Leadership, Organizational Behavior, Law, English, Communications, Psychology, Social Work, and Technology (Cybersecurity, Computer Science, Analytics).
When applying, please specify in your Cover Letter which subject areas you are applying for. Successful candidates will be added to our adjunct faculty pool. Teaching assignments for the upcoming terms, which runs through May 2027, will be distributed from this pool based on course availability and enrollment.
Responsibilities:
Deliver high-quality online/hybrid instruction using synchronous or asynchronous methods.
Disciplines needed: Cybersecurity, Computer Science, Business (Accounting, Finance, Economics, Marketing, Management, Leadership, Org Behavior, Law), English, Communications, Psychology, Social Work)
Utilize best practices in teaching for online accelerated adult programs.
Employ effective teaching strategies that accommodate diverse student abilities, levels of preparation, and cultural backgrounds. Perform additional duties related to assigned courses as required.
Summary of role:
Instruction & Delivery
Deliver high-quality online and hybrid instruction using in-person, synchronous and asynchronous methods.
Utilize best practices in teaching for online, accelerated adult graduate programs.
Employ effective teaching strategies that accommodate diverse student abilities, professional backgrounds, and learning styles.
Integrate real-world business datasets and industry case studies into course curriculum to ensure practical applicability.
Mentorship & Student Support
Assist students in navigating challenges encountered during their coursework, providing actionable feedback and solutions.
Foster a collaborative learning environment where students are encouraged to reflect on their technical practice and innovate.
Collaboration & Coordination
Collaborate with university faculty and program directors to ensure curriculum alignment with current industry trends in the subject areas.
Participate in faculty meetings and professional development activities to stay updated on best practices in STEM education and emerging AI technologies.
Professional Development
Engage in ongoing professional development to enhance expertise in instructional technologies, instructional methods, and assessment practices.
Stay informed about current research and trends in the subject area, incorporating relevant knowledge into course content.
Administrative Duties
Maintain accurate records of student grades, project evaluations, and attendance within the university’s learning management system.
Ensure compliance with university academic standards and accreditation requirements.
Assist in the coordination of programmatic assessments to monitor the effectiveness of the curriculum.
Qualifications:
For undergraduate courses, a Master's or Doctorate in the relevant discipline is required, along with practical work experience in the course topic.
Experience in synchronous or asynchronous teaching is highly desirable.
An Ed. D. or Ph.D. in the relevant discipline and everyday practical work experience are preferred for graduate courses. A Master's degree in the course discipline and substantive work experience in the associated career can be accepted.
Demonstrate a commitment to excellence in teaching.
Teaching experience with a diverse population (preferred).
Experience with a Learning Management System such as Canvas (preferred).
Experience with effective methods for engaging students through online learning (preferred)
Ability to contribute to a climate that supports a diverse student body, serves first-generation college students, multilingual learners, and contributions to equity and social justice through their work.
Multilingual skills highly preferred.
Terms of Employment:
FLSA Status:
Exempt
Communication:
Maintains communication with various Faculty, staff, and external constituents in the performance of role. Must be professional in all communications as a representative of the senior administrative team. Utilizes existing technology effectively in the performance of duties.
Reasoning Ability:
Ability to solve practical problems and deal with a variety of concrete variables in situations where only limited standardization exists. Ability to interpret a variety of instructions furnished in written, oral, diagram, or schedule form.
Language Skills:
This position requires the ability to read, write, understand and communicate in English. Functions of the job include: pertinent laws, codes, policies, and/or regulations; personnel processes; curriculum adoption process; program planning and development; and learning styles and curriculum models. Ability is required to schedule a number of activities, meetings, and/or events; often gather, collate, and/or classify data; and use job-related equipment. Flexibility is required to independently work with others in a wide variety of circumstances; analyze data utilizing defined but different processes; and operate equipment using standardized methods. Ability is also required to work with a significant diversity of individuals and/or groups; work with data of widely varied types and/or purposes; and utilize a variety of job-related equipment. Independent problem solving is required to analyze issues and create action plans. Problem solving with data frequently requires independent interpretation of guidelines; and problem solving with equipment is moderate to significant.
Physical Demands:
The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. While performing the duties of this job, the employee is regularly required to sit, be mobile in an office environment, stand, read, use a keyboard, and communicate audibly in person and by telephone and video technology. Specific vision abilities required by this job include close vision, distance vision, and depth perception.
Work Environment:
The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. The noise level in the work environment is usually moderate and is a standard acceptable level for this environment.
Other Skills/Abilities:
Ability to establish and maintain effective working relationships with university employees, community members, external parties, Board members, and senior administrators; ability to speak clear and concisely in written or oral communication and ability to maintain professional decorum.
Evaluation:
Performance of this position will be evaluated in accordance with Avila University policy.
The information contained in this description is for compliance with the Americans with Disabilities Act (A.D.A.) and is not an exhaustive list of the duties performed for this position. The individual currently holding this position performs additional duties and additional duties may be assigned.
Avila University is an Equal Opportunity Employer and does not discriminate on the basis of race, religion, color, national origin, sex, age, tenure, disability or any other factors that cannot be lawfully considered in its programs and activities as required by all applicable laws and regulations.
Avila University reserves the right at any time, with or without notice, to alter or change job responsibilities, reassign or transfer job positions or assign additional responsibilities.
We will screen all applicants and select candidates whose qualifications meet our requirements. We will carefully consider your application during the initial screening and will contact you if you are selected to continue for the next stage of the recruitment process. We wish you every success in your job search.
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
Our Strategic Deals team originates, structures, negotiates, and closes the deals that secure the compute Anthropic uses to train and serve frontier AI systems. We work closely with engineering, infrastructure, finance, legal, product, and go-to-market teams to expand Anthropic's access to cloud capacity, silicon, networking, and the financing behind them.
We are hiring several Strategic Deals Leads focused on compute and infrastructure. In this role, you will source opportunities, design partnerships, and negotiate high-value agreements with some of the world's largest technology companies, and you will connect deal terms to structured finance solutions. Your work will directly shape how quickly and reliably Anthropic can bring new compute online.
Each hire will bring deep expertise in one or more of these areas while working across the broader infrastructure stack:
Cloud compute:
building and running a pipeline of capacity across established and emerging cloud providers, and structuring the financing that connects capacity commitments to their economics.
Compute infrastructure:
going deep into the silicon supply chain, structuring co-development and early-access deals with semiconductor and emerging hardware companies, and securing networking, backbone, and memory supply.
Compute partnerships:
owning multi-year partnerships with the largest cloud providers, where compute commitments, financing structures, model availability on partner platforms, marketplace and co-sell arrangements, and pricing and revenue-share constructs are negotiated together.
Key responsibilities
Own deals end to end in your focus area, from opportunity identification and term sheet development through diligence, negotiation, internal approval, close, and post-close execution
Lead negotiations for complex, high-value agreements with hyperscalers and other cloud providers, semiconductor and hardware suppliers, networking and memory vendors, data center operators, and emerging infrastructure companies
Bring capital markets and financing thinking to every transaction, including vendor financing, equipment leasing, capacity prepayments, project finance, and credit and residual value guarantees
Build financial models, term analyses, and commercial frameworks that compare supply options and give leadership a clear view of value, tradeoffs, and risk-adjusted outcomes
Partner with engineering and infrastructure teams to understand future workload requirements and translate them into long-term supply strategies and commercially viable deal terms
Build and own senior relationships with commercial, finance, product, and legal counterparts across the AI infrastructure ecosystem
Drive internal alignment with legal, finance, engineering, product, and go-to-market teams on deal terms, risk parameters, and the approval path for large commitments
Track market, technology, competitive, and financing developments across AI infrastructure, including supply constraints, and turn them into clear recommendations for senior leadership
Represent Anthropic externally with corporate executives, investment banks, and infrastructure investors involved in our transactions
Minimum qualifications
A track record of originating, structuring, negotiating, and closing complex, high-value technology, infrastructure, or capacity transactions as the principal and lead negotiator (not in a supporting or advisory capacity) and the ability to operate independently from day one
Transactional experience in at least one focus area: cloud capacity or data center transactions, semiconductor and hardware supply (accelerators, CPU, memory, or networking, including backbone), or hyperscaler and cloud partnerships
Working knowledge of how large infrastructure commitments are financed, such as vendor financing, take-or-pay obligations, equipment leasing, or project finance, and the ability to shape financing terms alongside commercial terms
Financial modeling skills to build and pressure-test the economics of large infrastructure transactions
Experience developing term sheets and negotiating definitive agreements alongside legal counsel
Ability to work with technical teams and translate engineering requirements into deal structures, contract terms, and strategic business recommendations
Experience negotiating agreements that combine infrastructure or capacity terms with commercial, product, or go-to-market terms, and an understanding of how those components interact
Experience building partnerships and influencing senior stakeholders across internal and external organizations, including executive leadership
Preferred qualifications
8–10+ years of experience in strategic deals, corporate development, partnerships, investment banking, or business development at technology companies, hyperscalers, cloud providers, or financial institutions, with direct transactional ownership
Direct experience working with or inside a hyperscaler on AI or cloud partnerships, including familiarity with model gardens, marketplaces, co-sell programs, and partner economics
Experience managing multiple high-value transactions simultaneously at different stages of maturity and commercial development
Comfort operating in fast-moving, ambiguous environments where market structures, provider economics, and partnership norms are still evolving
A genuine interest in the future of AI infrastructure and in Anthropic's mission of building safe, beneficial AI
We're hiring for several roles on this team.
Apply once, and we'll match you to the focus area that best fits your background.
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
—
$325,000 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.
Boston, MA; San Francisco, CA | Seattle, WA | New York City, NY | Washington, DC
Singapore
San Francisco, CA
Boston, MA; San Francisco, CA | Seattle, WA | New York City, NY | Washington, DC
ГибридSan Francisco, California
San Francisco, CA | New York City, NY | Seattle, WA
seniorNew York, NY; For candidates outside of the NY/NJ area, you may be eligible for our relocation assistance program; For candidates outside of these areas, you may be eligible for our relocation assistance program
ОфисSan Francisco, CA
США; Up to $140,000 Base Salary with No Negative Accrual + $50,000 Sign-On/Relocation Bonus; $50,000 sign-on/relocation bonus
ОфисLondon; Relocation support and visa fees (if applicable)
ОфисLondon; Relocation support and visa fees (if applicable)