Location: Sydney
Workplace: Hybrid
WHY HARVEY
At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come.
This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched.
Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you.
At Harvey, the future of professional services is being written today — and we’re just getting started.
ROLE OVERVIEW
Harvey’s Legal Engineers are former practising lawyers who bridge customers, sales, and product to support all aspects of our sales strategy and product development. As trusted advisors to the lawyers they work with, they lead sharp discovery and tailored product demonstrations, translating real legal work into Harvey solutions that provide clear value for lawyers.
As strategic partners to law firms and in-house teams, Legal Engineers thrive in ambiguity and help lawyers do higher-quality work faster and with more confidence using Harvey.
WHAT YOU’LL DO
- Work directly with lawyers at current and prospective customers to uncover workflow pain points, recommend solutions, and show how Harvey fits into real legal work.
- Serve as the voice of the customer, translating feedback and legal workflow insights into concrete, lawyer-ready product direction.
- Partner closely with product, engineering, sales, and marketing to shape Harvey’s roadmap and ensure the product evolves in ways lawyers trust and adopt.
- Build and refine product demonstrations, workflows, and use cases that reflect how legal teams actually work, including how AI is changing that work.
- Introduce new capabilities in a way that’s tailored, credible, and compelling for each customer, continuously raising the bar for how Harvey is deployed.
- Provide competitive and market intelligence specific to the APAC legal tech landscape.
- Further strengthen Harvey’s reputation in the APAC region as a credible, substantive, and forward-looking AI partner to the legal industry.
WHAT YOU HAVE
You move confidently through uncertainty, you operate at speed, and ship solutions that work—iterating quickly with lawyers, sales teams, and product partners to help Harvey and its customers win. You bring deep curiosity about AI's potential to transform legal work, a bias towards action, and the creativity to solve problems nobody's cracked yet.
- Based in Sydney and eligible to work in Australia.
- Australian practising certificate (or equivalent common-law qualification).
- At least 3 years of experience as a qualified lawyer at a top-tier law firm (e.g., Band 1 Chambers / AFR Top 10) and/or/in-house with strong exposure to complex legal workflows and client expectations.
- Demonstrated ability to exercise sound judgment and make confident, well-reasoned recommendations.
- Ability to operate seamlessly across legal, product, and sales contexts—translating between stakeholders with clarity and precision.
- Executive presence and relationship-building skills, with comfort engaging partners, senior associates, in-house counsel, and legal leadership.
- Sales, customer-facing, or law firm business development experience is a plus, particularly where you’ve helped shape solutions rather than just present them.
ADDITIONAL INFORMATION
- Location: Sydney, NSW (Hybrid with flexibility)
- Work eligibility: Must have valid Australian work rights; Harvey does not currently offer visa sponsorship for this role.
WHAT WE OFFER
- Structured hybrid working arrangement: 3 days in our Sydney office, 2 days working from home.
- Health Coverage: Fully covered private hospital insurance, plus extras for dental, optical, physio, mental health, and more.
- Family & Fertility Support: Support for fertility treatments, adoption, and surrogacy through Carrot.
- Retirement & Security: Comprehensive coverage designed to support your long-term well-being.
- Paid Leave: Paid annual leave, sick leave, and fully paid parental leave for all parents.
- Wellness & Perks: Daily in-office lunch, wellness memberships through Wellhub, and monthly commuting support.
- Professional Development: Annual support for courses, certifications, conferences, and books.
- Remote Work Allowance: Monthly support for home office, internet, and phone expenses.
- Harvey Holiday: After four years, enjoy a four-week paid sabbatical to rest, travel, or explore new experiences.
DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74.
#LI-GW1
Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai
Location: United States; Phoenix; Seattle; California; Denver
Workplace: Remote
WHO ARE WE?
Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems.
We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that.
We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft.
We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us!
Why this role?
As an Account Executive at Cohere you will have ownership of the full sales cycle - from identifying leads to closing deals, with State, Local and Higher Education customers in the Western region of the United States.
In this role you will be focussed on business development activity within the government departments and agencies at the state and local level, as well as within higher education within your territory..
We’re looking for an approachable and compelling communicator who loves working with SLED customers to uncover their needs and feels comfortable developing tailored value propositions around how Cohere’s platform can help them drive better citizen outcomes. You’ll lay the foundation for Cohere’s growth by owning your territory and collaborating with teammates across Customer Success, Sales Development, Marketing, and Sales Engineering. You’ll be the voice of the field and help our Product and Engineering teams prioritize the Cohere roadmap with customer-centric care. In this highly self-directed role, you will thrive in a quickly evolving environment.
As an Account Executive, you will:
- Drive net-new customer acquisition through targeted outbound activity, senior leader engagement, and relationship building across SLED organizations.
- Develop and execute a sales plan and prioritization for the SLED market in your territory, identifying pathways and partners to scale growth regionally.
- Act as a trusted advisor and thought partner to SLED customers and prospects by understanding their goals and shaping AI solutions that deliver measurable value
- Work closely with channel and local partners, particularly Distributors and VARs as well as major system integrators to scale outreach, accelerate adoption, and maximize customer success
- Leverage senior-level relationships with executives and government decision-makers to drive strategic opportunities and long-term partnerships
- Collaborate with Product and Engineering teams on strategic efforts to deliver enterprise and public-sector solutions
- Partner with SDRs and Marketing to drive top-of-funnel activity and overall territory growth
- Own the full sales cycle; including discovery, technical and business validation, proof-of-concept, procurement, and deal close within a team-selling environment
You may be a good fit if you have:
- 5+ years of direct public sector sales experience in the SLED Market, with a proven track record of closing $2M+ annual quotas.
- Deep knowledge of SLED procurement cycles and decision-making processes, how to work with resellers, VARs and distributors.
- Established regional network, including state and local departments and agencies, prime contractors, and industry associations.
- Experience selling SaaS, AI/ML, or enterprise software solutions to government clients.
- High tolerance for ambiguity, you are both a strategist and a hands-on operator capable of building a market from the ground up
- Strong organizational skills, with the ability to manage multiple internal and external stakeholders across fast-moving deals
- Creativity and strong technical acumen to structure unique, mutually beneficial partnerships
- Excellent communication skills, you listen deeply, understand what matters to senior decision-makers, and confidently present to both technical and non-technical audiences
- Preference given to candidates within California, Texas, Washington, Arizona and Colorado with willingness to travel (25-35%).
Cohere is committed to fair and transparent pay practices. The salary range listed for this role reflects the expected base compensation. Actual compensation offered will be determined by factors such as location, level, job-related knowledge, skills, education, and experience.
FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS:
- A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch.
- Full health and dental benefits, including a separate budget for mental health.
- RRSP matching, 401K, Pension Scheme.
- 100% Parental Leave top-up for up to 6 months, for either parent.
- Annual enrichment benefits:
Arts & culture, fitness/wellness, quality time, and a workspace improvement credit.
Education & learning stipend for conferences, courses, and coaching.
- 6 weeks of paid vacation (30 working days!)
- Budget for traveling to other offices if you are remote, plus an annual company offsite.
HOW AND WHERE WE WORK:
- Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon.
- For those in the office: a daily lunch program, plenty of snacks, and regular community and social events.
- For those not near an office: a co-working benefit so you can work alongside others in your city.
- Everyone receives a $500 home office stipend to set up your workspace properly.
If any of the above doesn’t line up exactly with your experience, we still encourage you to apply.
We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs.
We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider.
Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.
Location: Lagos, Nigeria
Who We Are
We're a passionate team determined to challenge the status quo and make financial inclusion count for the millions of under-banked individuals and small business owners in Nigeria. We provide loans, savings, and fixed deposit solutions to our customers. Our vision is to be the most convenient lending company, delivering outstanding service experience.
The Role
The Senior Risk Analyst (Portfolio Risk) is responsible for driving portfolio risk analytics, credit performance monitoring, Expected Credit Loss (ECL) modeling, impairment analysis, and value-added risk initiatives that optimize portfolio performance and profitability.
The role partners closely with Risk, Finance, Product, Collections, and Technology teams to deliver actionable portfolio insights, automate reporting, improve decision-making, and support strategic initiatives such as Risk-Based Pricing (RBP), digitalization, and portfolio optimization.
This role is ideal for someone with strong analytical capabilities, deep knowledge of retail lending portfolios, IFRS 9/ECL methodologies, and the ability to translate complex data into business recommendations within a fast-paced financial services environment.
What You Will Do
Monitor and analyze portfolio performance across all lending products, identifying emerging risks, trends, and business opportunities.
Develop, automate, and maintain portfolio risk dashboards, management reports, and executive reporting.
Lead value-added portfolio initiatives including Risk-Based Pricing (RBP), digitalization, and portfolio optimization projects.
Deliver timely, accurate, and insightful reporting to support strategic and operational decision-making.
Own the portfolio Expected Credit Loss (ECL) and impairment analysis in accordance with IFRS 9 requirements.
Provide profitability analysis by evaluating impairment costs, portfolio performance, and P&L contribution across each lending product.
Support forecasting of credit losses, provisions, and portfolio performance under different economic scenarios.
Design and enhance portfolio monitoring frameworks, early warning indicators, and risk performance metrics.
Collaborate with Data, Finance, Product, Collections, and Technology teams to improve data quality and reporting automation.
Build automated reporting solutions and improve data infrastructure to reduce manual processes.
Conduct deep-dive analyses into portfolio trends, customer behavior, segmentation, and credit performance.
Perform portfolio stress testing, sensitivity analysis, and scenario modeling.
Support regulatory reporting, internal audits, and governance requirements relating to portfolio risk.
Recommend risk policy enhancements based on portfolio performance and analytical findings.
Maintain documentation for portfolio methodologies, reporting processes, and analytical models.
Drive continuous improvement initiatives across portfolio analytics and reporting capabilities.
Requirements
What You Bring
Educational Qualification
Bachelor's degree in Statistics, Mathematics, Economics, Finance, Accounting, Computer Science, Engineering, or a related quantitative discipline.
Master's degree is an added advantage.
Professional Certifications
FRM (Financial Risk Manager) – preferred.
CFA (Chartered Financial Analyst) – an advantage.
ACCA, ACA, or equivalent accounting qualification is beneficial.
IFRS 9 or Credit Risk certifications are an added advantage.
Microsoft Power BI, SQL, Python, SAS, or Data Analytics certifications are desirable.
Experience
Minimum of 5–7 years of experience in Portfolio Risk, Credit Risk Analytics, Risk Modelling, or Financial Risk.
Experience within banking, fintech, consumer lending, digital lending, or financial services.
Demonstrated experience with IFRS 9, Expected Credit Loss (ECL), impairment analysis, and portfolio monitoring.
Experience building automated reporting and portfolio dashboards.
Experience supporting senior management with portfolio performance insights and strategic recommendations.
Professional Competencies
Strong knowledge of portfolio risk management principles and retail lending products.
Deep understanding of IFRS 9, ECL methodologies, impairment calculations, and provisioning.
Strong analytical skills with experience interpreting large datasets and translating insights into business actions.
Advanced proficiency in SQL, Excel, Power BI, Tableau, Python, SAS, R, or similar analytical tools.
Strong understanding of P&L drivers, portfolio profitability, and financial performance analysis.
Experience designing portfolio monitoring frameworks and early warning indicators.
Ability to automate reporting processes and improve reporting efficiency.
Strong knowledge of credit risk metrics including PAR, Roll Rates, Vintage Analysis, Loss Rates, Recoveries, and Collections performance.
Excellent presentation, communication, and stakeholder management skills.
Strong attention to detail with the ability to influence strategic decision-making through data.
Ability to manage multiple priorities within a fast-paced environment.
This Role Is Ideal For You If:
You enjoy transforming complex portfolio data into strategic business insights.
You are passionate about credit risk analytics, portfolio optimization, and automation.
You enjoy improving reporting efficiency through digitalization and data-driven solutions.
You thrive in solving complex business problems using analytics.
You enjoy collaborating across Risk, Finance, Technology, and Product teams.
You want to influence credit strategy and portfolio performance at scale.
You May Not Enjoy This Role If:
You prefer operational roles over analytical and strategic work.
You are uncomfortable working with large datasets and complex financial models.
You dislike automation, reporting, or continuous process improvement.
You prefer highly repetitive work with limited opportunities for innovation.
You are not interested in financial performance, impairment, or portfolio optimization.
Benefits
What's In It For You
Opportunity to shape portfolio strategy within a leading fintech organization.
Direct ownership of portfolio analytics, IFRS 9 reporting, and risk insights that influence executive decision-making.
Exposure to large-scale digital transformation, Risk-Based Pricing (RBP), and advanced analytics initiatives.
Opportunity to collaborate with Risk, Finance, Product, Data, Engineering, and Executive Leadership teams.
Continuous learning, professional certification sponsorship, and career development opportunities.
Competitive compensation and the opportunity to solve complex, high-impact credit risk challenges.
Location: İstanbul, Türkiye
Workplace: remote
💻 About Kodland
Kodland is an international online education platform helping children and teenagers develop coding, mathematics, digital design, and future-ready technology skills.
Through live online classes and project-based learning, students gain practical digital skills while building confidence, creativity, and problem-solving abilities.
We are now looking for an experienced
Customer Service Specialist
to join our GCC team and support enrolled families throughout their journey with Kodland.
The internal title for this role is
Customer Service Manager (CSM)
. However, this is an individual-contributor position. You will manage customer relationships, requests, and cases—not a team of employees.
🎯 What Will You Do?
As a Customer Service Specialist, you will support parents and students from the moment they join Kodland and help ensure that their learning experience remains smooth, clear, and positive.
Your responsibilities will include:
Communicating with parents through phone, chat, and email
Welcoming newly enrolled families and helping them understand the next steps
Supporting customers with class access, schedules, logins, transfers, freezes, and general course-related questions
Following up with families when students miss lessons or stop attending regularly
Understanding the reason behind customer dissatisfaction and working toward a suitable solution
Handling complaints calmly and professionally
Managing refund requests and discussing possible alternatives with families
Negotiating installment and payment-related solutions within company policies
Responding to objections in a clear, empathetic, and solution-oriented way
Recording all customer interactions and case updates accurately in CRM and helpdesk systems
Coordinating with teaching, technical, finance, and operational teams when additional support is required
Taking ownership of each case until the customer receives a clear resolution
The main goal of this role is not only to answer questions, but also to protect the customer experience, rebuild trust when problems occur, and help families continue their learning journey with Kodland.
🕒 Working Model
This is a fully remote, full-time position.
40 working hours per week
Five working days and two days off
One weekend day is included in the working schedule
Work is organized through scheduled shifts
Regular attendance and reliability are essential
Because customers depend on timely support, employees are expected to follow their assigned schedules consistently and remain available during their working hours.
💰 Compensation
The compensation package consists of:
$185 fixed monthly salary
Up to
$50 monthly KPI bonus
The KPI bonus is based on measurable performance areas such as:
Customer satisfaction
Response and resolution time
Quality of communication
Accuracy of CRM and ticket updates
Successful handling of complaints and customer concerns
Compliance with internal processes
🧭 Training and Onboarding
Successful candidates will complete a structured onboarding and role-training process before managing customer cases independently.
The onboarding process generally includes:
Introduction to Kodland and the customer journey
Customer communication standards
CRM and helpdesk system training
Complaint and objection-handling practice
Refund and installment scenarios
Internal policies and operational processes
Practical cases and role-play sessions
Ongoing feedback and support will be provided by the Team Leader and the Customer Service team.
🚀 What Does Kodland Offer?
100% remote work
Experience in an international EdTech company
Structured onboarding and role training
Ongoing support and regular feedback
Experience with international customers and teams
Development in customer service, retention, negotiation, and operations
Internal career-growth opportunities for strong performers
Employee discounts on Kodland educational programmes
✅ Mandatory Requirements
Fluent Arabic and English communication skills
At least
1–2 years of professional customer service experience
Previous experience handling customers through calls, chat, or email
Practical experience with customer support or ticketing platforms such as:
Omnidesk
Zendesk
Freshdesk
Intercom
Or similar helpdesk systems
Practical experience with CRM systems such as:
amoCRM
Bitrix24
Salesforce
HubSpot
Or another comparable CRM platform
Strong written and verbal communication skills
Confidence in handling complaints and emotionally difficult conversations
Experience responding to customer objections
Ability to discuss refunds, cancellations, installments, and payment concerns professionally
Strong negotiation and problem-solving skills
Ability to remain calm, empathetic, and respectful under pressure
Strong organization and attention to detail
Ability to manage several customer cases and systems simultaneously
Ability to document customer interactions accurately
Availability to work full-time for 40 hours per week
Availability to work one weekend day
A personal laptop or computer suitable for remote work
Stable internet connection and a quiet working environment
Ability to commit to Kodland as the primary professional role
🌟 Experience That Will Be an Advantage
Experience in one or more of the following areas will be considered an advantage:
Customer retention
Refund prevention or cancellation handling
Billing and installment support
Complaint resolution
Customer success
Call centres
Subscription-based services
Online education or EdTech
Supporting parents or family-oriented customers
Working with customer satisfaction or response-time KPIs
Cross-functional coordination with finance, technical, or operations teams
🎯 You May Be a Strong Fit If:
You enjoy helping customers solve real problems
You can listen carefully and identify the concern behind a complaint
You understand that customer service also requires ownership and follow-up
You are comfortable discussing sensitive topics such as refunds and payments
You can protect the customer relationship without making unrealistic promises
You communicate confidently while remaining respectful and empathetic
You can work independently and stay organized in a remote environment
You are comfortable being evaluated through service-quality KPIs
You are looking for a stable role where you can build long-term experience
⚠️ This Role May Not Be Suitable for You If:
You prefer to transfer difficult cases instead of owning them until resolution
You are uncomfortable handling complaints, refunds, or payment discussions
You do not want to work on weekends
You find it difficult to follow fixed processes and document your work
You are looking for a temporary or short-term role
You have frequently changed jobs after very short periods and cannot clearly explain the reasons for those transitions
You are unable to commit consistently to a full-time remote schedule
We understand that career changes can happen for many valid reasons. Candidates should simply be prepared to explain short employment periods and demonstrate their interest in building a stable, long-term professional relationship with Kodland.
Location: Tbilisi, Georgia
About Wolt
At Wolt, we create technology that brings joy, simplicity and earnings to the neighborhoods of the world. In 2014 we started with delivery of restaurant food. Now we’re building the delivery of (almost) everything and you’ll find us in over 500 cities in 30 countries around the world. In 2022 we joined forces with DoorDash and together we keep on dreaming big and expanding across the globe.
Working at Wolt isn’t always easy, but it’s definitely exciting. Here you’ll learn more, build more, and ship more than in most other companies. You’ll be challenged a lot, but also have a lot of fun on the way. So, if you’re a self-starter with drive and entrepreneurial spirit, this could be the ride of your life.
Are you an experienced customer experience professional with leadership skills and a strong passion for being strategic and using insights to deliver exceptional service?
#WOLT-GEO-SA
Does leading support within one of Europe’s fastest-growing tech companies sound like your next adventure? If the answers to the questions are "yes" then keep reading!
Wolt is a Finnish technology company and we're best known for our delivery platform. On our mobile apps or website, customers can order their favorite meals from our restaurant partners. We launched in Georgia in April 2018 and have since then started conquering the food delivery scene in Tbilisi, Batumi, Rustavi and Kutaisi and other cities in Georgia.
As our team is growing, we're looking for a Support Manager to join our Shared Service Center team in Georgia! In our Support team there is no typical day. To be successful in this role you will need to be independent, customer-oriented, and have excellent interpersonal and relationship-building skills to provide best support to our Customers, Restaurants and Courier Partners. We are looking for someone who takes ownership beyond the obvious and who can take that extra step to support the team.
As our Support Manager you will lead our Shared Service Center team and inspire the high-quality standard of service that we provide to our customers and partners. With their excellent management skills, our Support Managers ensure that our Support Leads are running the operations between customers, restaurant partners and courier partners smoothly.
What you’ll be doing
Work together with the Head of Support and take full ownership of the experience and satisfaction of the customers and partners
Contribute to strategic initiatives and their execution in order to constantly improve the service proposition
Guide and coach the team in order to improve the associate’s performance, personal development and happiness
Implement new work procedures and features and encourage feedback around these
Analyze and optimize customer and partner touchpoints and look for patterns in incoming requests and workforce management to then put them into actions and improvements.
Together with the Content, Training and Quality team, develop the quality and content processes within the Support operations in line with the training operations
Collaborate closely with other teams to meet the needs of the customers and improve overall level of service.
Lead by example and show what customer-obsessed means: At Wolt, the Support Team knows that customer interactions serve a larger purpose than simply fixing problems. The Support Manager will lead by example and raise the bar for the way support is provided at Wolt.
Our humble expectations
You can formulate yourself very well, both verbally as well as in written form in English and Georgian.
You are customer obsessed and have experience in Customer Support or Customer Service.
You have 3-5 years of experience in leading a team, preferably leading a leadership team or other more senior team
You enjoy working together and leading a growing team, and making sure your colleagues always understand the purpose of what they do and what defines a great performance.
Multitasking is your strong suit and you’re prepared to manage multiple incoming interactions simultaneously, and effortlessly determine which to prioritise.
You are able to translate data into actions and make the rest of the core team understand how Customer Support is progressing, so you need to have good Excel skills.
You have a can-do attitude and are ready to roll up your sleeves and get to work in a fast-paced startup environment.
You have strong presentational skills and proficiency in Office tools
Any trainings or experience in people or project management are an advantage
A degree in Business Administration is a strong plus!
Next steps
If you are excited about working in a high-growth environment, taking ownership, and being part of an extremely ambitious team, then click below to apply and get the conversation going!
We will be reviewing applications on an on-going basis, so if this sounds like an opportunity you want to pursue, apply today!
Our Commitment to Diversity and Inclusion
We’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel.
Beware of recruitment scams: DoorDash, Deliveroo, and Wolt will never ask you to pay money or share sensitive financial information during hiring — learn more about our legitimate recruiting process at
Recruitment Scam Awareness - DoorDash
.
Location: San Francisco, CA | 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
We are seeking a Director, Technical Accounting – M&A to join our Finance team at Anthropic. In this role, you will support the company's accounting for mergers, acquisitions, strategic investments, and other complex capital transactions. You will report to the Senior Director, Technical Accounting – M&A
As Anthropic continues to scale rapidly and deploy capital into acquisitions, strategic investments, joint ventures, and novel commercial structures, you will be a key technical resource on structuring alternatives, consolidation outcomes, and financial statement impact. You will partner closely with Corporate Development, Legal, Tax, Treasury, FP&A, and leadership to ensure that deal economics are accurately reflected under US GAAP and that positions are defensible to external auditors, valuation specialists, and future regulators.
This is a builder role: you'll help operate and continuously sharpen the controls, valuation governance, and close-ready documentation expected of a large accelerated filer, working alongside the Senior Director as the function takes shape. If you thrive on being in the room when deals are shaped — and then making the accounting land cleanly — we want to hear from you.
In this role, you will:
Execute technical accounting for business combinations, asset acquisitions, joint ventures, and related financing/equity structures
Partner with and influence Corporate Dev to steer deal structures toward preferred terms and outcomes
Perform accounting due diligence on prospective transactions, advising Corporate Development and leadership on GAAP, control, and earnings implications before terms are finalized
Execute end-to-end purchase accounting — acquirer and acquisition-date identification, consideration measurement (contingent consideration, rollover equity, replacement awards), and recognition/measurement of assets, liabilities, and goodwill
Execute post-close integration accounting — conforming accounting policies, system/ledger onboarding, working capital true-ups, earn-out remeasurement, and push-down considerations
Assess and monitor consolidation and investment classification for investees and structured arrangements — VIE/primary-beneficiary analysis, reconsideration events, equity method, measurement alternative, and fair value through earnings — and support impairment and observable-price-change reviews
Manage third-party valuation specialists; review PPA, intangible asset valuations, contingent consideration fair values, and impairment analyses
Author and defend technical accounting policies & memoranda; partner closely with external auditors on M&A, investment, and consolidation matters
Partner with Tax on deal structuring and ASC 740/basis-difference impacts; with Treasury and Legal on equity, SAFE/convertible, and other financing instruments
Help refine the deal-accounting operating model — diligence checklists, Day-1 close playbooks, opening balance sheet procedures, measurement-period tracking, integration workplans, and SOX-ready controls over non-routine transactions
Prepare and review transaction-related disclosures for quarterly and annual filings, including pro forma financial information and significance testing
Present transaction accounting conclusions and financial statement impacts to leadership and cross-functional stakeholders in clear, decision-ready terms
Monitor standard-setting and SEC developments affecting business combinations, consolidation, and investments; support adoption and cross-functional education
You may be a good fit if you:
Have 10+ years of progressive accounting experience, including 4+ years owning complex M&A and strategic investment accounting transactions end-to-end
Hold an active CPA license
Bring significant Big 4 experience — ideally in a National Office, Transaction/Deal Advisory, or Capital Markets/Accounting Advisory group — paired with in-house experience at a high-growth or public technology company
Have contributed to multiple closed acquisitions and minority/strategic investments, including at least one transaction of meaningful scale or complexity
Possess deep command of US GAAP for business combinations, consolidation, equity method, and fair value measurement, with a track record of positions that withstand auditor and regulator scrutiny
Are fluent in valuation concepts and can direct and challenge third-party specialists on PPA, contingent consideration, and impairment models
Have operated within a deal-accounting or investments-accounting function, contributing to playbook and controls design
Communicate effectively with Corporate Development and Legal on structuring trade-offs, translating technical conclusions for cross-functional and senior stakeholders
Demonstrate exceptional written and verbal communication, translating complex deal accounting into clear business implications
Excel at hands-on technical execution in a fast-paced, ambiguous environment, partnering closely with the Senior Director on strategic judgment calls
Are proficient with accounting systems (Workday preferred), consolidation tools, and advanced Excel/modeling
Curious about and quick to adopt new AI tools, including Claude and Claude for Finance
Strong candidates may also:
Have deep, practitioner-level expertise in one or more of the following:
Business combinations and asset acquisitions (ASC 805), including contingent consideration, replacement share-based awards, and step acquisitions
Consolidation and investment classification (ASC 810, 323, 321), including VIE/primary-beneficiary analysis, basis differences, and the measurement alternative
Fair value measurement, acquired financial instruments, and goodwill/intangibles (ASC 820, 815, 825, 350, 360), including impairment testing and IPR&D
Have led accounting for carve-outs, divestitures, spin-offs, or legal-entity rationalizations, including standing up SOX-compliant controls over non-routine/complex transactions
Have prepared or reviewed pro forma financial information and registration-statement disclosures (Article 11 of Regulation S-X, S-X Rule 3-05/1-02(w) significance testing, S-1 processes)
Have experience with novel AI/technology deal structures — acqui-hires, IP/license-heavy transactions, data and compute arrangements, revenue-share partnerships, and strategic investor rights — and are passionate about leveraging AI to accelerate diligence, memo drafting, and close
Deadline to apply:
None. Applications will be reviewed on a rolling basis.
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$230,000
—
$300,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: San Francisco, CA | New York City, NY | 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
Code RL at Anthropic drives reinforcement learning efforts behind Claude's coding capabilities, creating and scaling agentic coding environments. This is an engineering role with unusual latitude to set technical direction and standards.
You'll be part of a team solving the engineering side of research efforts such as embedding with research teams, getting up to speed on their systems and needs, and designing the frameworks, APIs, and infrastructure that let researchers move faster, then rotating off, leaving behind well-oiled systems those teams can understand, own, and maintain themselves. Your remit also includes the ongoing health of production RL runs: maintainable, monitored, and straightforward to triage.
The team's problem space spans the client side of sandboxed execution for agentic RL environments, large-scale data processing jobs, the lifecycle of production datasets, and the frameworks researchers build environments on. You won't own all of this yourself, you'll take on the slices where your depth matters most. You'll be a strong fit if you have deep expertise in Python, a refined sense of taste for API and framework design, and hard-won intuition for how complex systems fail — especially silently. You should be comfortable diving into messy research code, finding the load-bearing abstractions, and improving them incrementally while researchers continue to build on top of your work.
Key responsibilities
Design widely-used APIs, frameworks, and abstractions that other engineers and researchers build on, with careful attention to interface legibility and principled defaults
Embed with research teams on a rotational basis: understand their engineering needs, build systems and APIs that support their work, and transfer ownership so teams can maintain those systems after you rotate off
Work directly in research codebases, improving reliability and structure without slowing down the research they support
Anticipate silent failure modes and prevent them structurally through type safety, well-designed invariants, targeted testing, and refactors that shrink the surface area for bugs
Contribute to the reliability of production RL systems, including monitoring, regression detection, and triage tooling
Help define engineering standards, review practices, and design patterns for a new team, and mentor researchers and engineers in adopting them
Minimum qualifications
Deep expertise in Python, including static typing, safe async and concurrency patterns, and writing performant Python code
A track record of designing intuitive, safe APIs or frameworks that other engineers or teams adopted and built on
Experience working productively in large, evolving, or research-style codebases that you didn't originally write
Demonstrated ability to anticipate failure modes — especially silent ones — and prevent them structurally through system design, type safety, and testing
Strong written and verbal communication skills, including the ability to explain system designs to collaborators with varied engineering backgrounds
Comfort with ambiguity: able to scope your own work from a loosely defined problem and drive it to a maintainable outcome
Preferred qualifications
Experience building infrastructure, tooling, or frameworks for machine learning research or RL workflows
Familiarity with reinforcement learning concepts, agentic systems, or LLM training pipelines
Experience building or operating large-scale distributed systems
Experience building client libraries or SDKs on top of sandboxed, containerized, or remote execution platforms
Experience with large-scale data processing or dataset lifecycle management
Experience designing plugin systems or extensible class hierarchies used across an organization
Experience embedding with or consulting for other teams, including successfully handing off systems for others to own
Experience defining code standards, lint rules, or static verification approaches adopted across multiple teams
Prior experience as a technical lead, or setting engineering standards for a team
Prior experience maintaining an open source project
Representative projects
These are examples of the challenges the team tackles; no one person will work on all of them:
Design a base RL environment abstraction general enough to be subclassed across a wide range of environments
Design a model-tool interface for sandboxed agentic environments that has explicit serialization semantics
Partner with the platform teams that own the sandbox runtime to specify low-level features that improve the integrity of agentic coding tasks
Design probes that catch sandbox regressions early
Design the lifecycle and maintenance scheme for a production dataset
Lead a research code refactor replacing loosely structured data containers with equivalents that carry stronger correctness guarantees, without breaking the experiments that depend on them
Design lint rules and code-style requirements that favor statically verifiable patterns — including patterns less likely to be overlooked by an LLM reviewing or writing the code — to shrink the surface area for silent bugs
Build the access layer that lets researchers discover and reuse data artifacts across teams
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$405,000
—
$625,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: San Francisco, CA | New York City, NY
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
Anthropic's Environments organization builds and maintains the infrastructure that improves Claude’s capabilities through reinforcement learning. That includes the frameworks researchers use to build environments and the infrastructure responsible for running them. The team's mission is to productionize research. You'll embed with research teams, get up to speed on how they work, and design the frameworks and APIs that let them move faster, building systems the team can understand, own, and maintain themselves. Scope also includes keeping production RL runs healthy, maintainable, monitored, and easy to triage.
You'll be a strong fit if you have deep expertise in Python, a refined sense of taste for API and framework design, and good intuition for how complex systems fail, especially silently. It's a bonus if you've built and operated a stateful distributed system, such as a workflow engine, actor framework, or durable-execution runtime, where correctness depends on getting shared state and recovery right. You should be comfortable diving into messy research code, finding the abstractions that matter, and improving them incrementally while researchers continue to build on your work. You should also be comfortable using AI tools to accelerate your own development, but have an impulse towards deep verification.
Key responsibilities
Design widely used APIs, frameworks, and abstractions that other engineers and researchers build on, making correct usage the default and ruling out entire classes of errors structurally
Own the platform layers that sit beneath every environment, including the agent runtime
Build the tooling that lets environment owners understand, debug, and maintain their environments in production without needing an infrastructure engineer in the loop
Embed with research teams on a rotational basis, work directly in their codebases without slowing down the research they support, and transfer ownership when you rotate off
Anticipate silent failure modes and prevent them structurally through type safety, well-designed invariants, targeted testing, and refactors that reduce the room for correctness issues
Drive adoption of new frameworks across the organization, including deprecations and cutovers
Help define the engineering standards, review practices, and design patterns for a new team, and mentor researchers and engineers in adopting them
Minimum qualifications
Deep expertise in Python, including static typing, safe async and concurrency patterns, and writing performant code
Strong taste in API and framework design, the ability to explain why an interface is right or wrong rather than just recognizing it, and a track record of other engineers or teams adopting and building on frameworks you have built
Experience designing or operating stateful concurrent or distributed systems, and reasoning carefully about failure, retries, idempotency, and consistency
A habit of verification: you measure before you conclude, and you build the checks that let a system show it's correct
Experience working productively in large, evolving, or research-style codebases that you didn't originally write
Strong written and verbal communication with collaborators of varied engineering backgrounds, and comfort with ambiguity: able to scope your own work from a loosely defined problem and drive it to a maintainable outcome
Preferred qualifications
Experience building infrastructure, tooling, or frameworks for machine learning research or RL workflows, and familiarity with agentic systems or LLM training pipelines
Experience building agent frameworks, orchestration engines, or multi-agent systems, including checkpoint and restore, replay, and coordination of long-running stateful processes
Experience using AI coding tools on code where correctness matters, with good judgment about what to delegate and how to make the results verifiable
Experience building client libraries or SDKs on top of sandboxed, containerized, or remote execution platforms
Experience with large-scale data processing, dataset lifecycle management, or data lineage systems
Experience designing serialization schemes, plugin systems, or extensible class hierarchies used across an organization
Experience embedding with or consulting for other teams and handing off systems for others to own, or defining code standards adopted across teams, or prior experience as a technical lead
Representative projects
These are examples of the challenges the team tackles:
Design a base RL environment abstraction that can be subclassed to support the large majority of environments built across RL
Redesign the model-tool interface for sandboxed agentic environments so that state is guaranteed to survive serialization, making it structurally impossible to write a tool that silently loses state
Design the state-sharing and recovery model for multi-agent workloads, so that losing a sandbox partway through a task becomes a transparent resume rather than lost work
Define the failure and retry model for a sandboxed execution platform, distinguishing infrastructure faults from genuine task outcomes so that each is handled correctly
Build the tooling that lets an environment owner diagnose why their environment is unhealthy in a production run, and fix it themselves
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$405,000
—
$605,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: San Francisco, CA
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're standing up a dedicated executive support function within IT, and we're hiring the IT Support Engineer who will build it. IT Support is the front door for every employee technology need at Anthropic, and this role creates its most visible lane: white-glove support for our executives, their administrative business partners (ABPs), and our board.
You'll define what that service looks like: the support model for execs, board, and ABPs, the runbooks behind it, the intake and escalation paths, and the trusted relationships with ABPs and exec staff that make it work. You'll set the bar for discretion and polish as you go. You'll also be the person our leadership reaches when technology gets in the way. The requests that land in this lane range from routine to highly sensitive, and many arrive urgent: an executive locked out minutes before a meeting, an AV issue in a room full of leadership, a board member who needs setup handled quietly and correctly the first time. You own the request end to end and pull in specialist functions or IT Engineering pods as needed.
Responsibilities
Stand up the executive support intake channels and run it: monitor, respond, and follow through on every request from executives, ABPs, and board members
Define the white-glove service model for discretion-sensitive asks and deliver to it, holding confidentiality under pressure
Design the board-meeting AV support playbook with the AV pod, and provide AV support for executive rooms and board meetings, from setup and pre-checks through live triage
Create exec-support runbooks and SLAs that keep the service consistent as it grows
Build trusted relationships with ABPs and executive staff, and establish clear intake paths so leadership knows exactly where to go
Handle ABP escalations and exec-urgent issues calmly, and route into specialist lanes or IT Engineering pods when a request needs them
Establish the board member device, account, and access setup process with our Onboarding lane
Work the shared ticket queue with the SF Core team: walk-ups, desk-side help, hardware swaps, it-assist overflow, and AV T1 triage
Participate in the Core on-call rotation and contribute to the knowledge base and runbooks
Maintain a regular on-site presence in San Francisco
You may be a good fit if you have
7+ years of experience in IT support and 3+ years in executive support
Experience standing up a service or program from scratch, such as an executive support desk, a VIP support function, or a white-glove service
Experience supporting executives, their assistants, or a board to a white-glove standard
A track record of handling sensitive requests with discretion, and the judgment to know what stays confidential without being told
Strong hands-on IT support fundamentals: macOS-primary fleets, identity and access, SaaS troubleshooting, hardware lifecycle
AV fluency for executive rooms and board meetings: you can set up, verify, and fix a room under time pressure
Composure when an urgent escalation lands, and the judgment to know when to pull in help
High polish and low ego: you take pride in service quality and still pick up whatever the team needs, including the ordinary queue work
A security-first mindset and excellent judgment about when user experience yields to security requirements
Comfort with ambiguity: you can make progress before the process exists, and you enjoy shaping how things should work
The instinct to write things down: runbooks, KB articles, and status updates that keep people informed
Nice to have
Experience supporting a C-suite or board of directors at a company with significant security or compliance requirements
AV depth beyond first response, such as broadcast, live events, or room design input
Experience building runbooks, self-service content, or support automation
Experience supporting AI/ML research environments or highly technical user bases
Deadline to apply: None. Applications will be received on a rolling basis.
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$180,000
—
$265,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Madison, WI
As a full-service engineering, design, and construction services firm, Mi-Tech delivers comprehensive support for utility and infrastructure projects from planning and design through execution. Our multidisciplinary team provides practical, innovative solutions that emphasize cost efficiency, constructability, and long-term value. Founded in 1985, Mi-Tech has built a reputation for excellence in engineering, design, environmental, laboratory, technical, and field services across multiple industries. The 2026 merger with J.D. Hair & Associates further strengthened our capabilities and resources, adding decades of specialized expertise in trenchless, geotechnical, and structural engineering to our core offerings. As a proud member of the Michels Family of Companies, Mi-Tech collaborates with an internationally respected team to deliver integrated, end-to-end engineering, design, and construction solutions that meet the highest standards of quality and performance.
The Utility Construction Inspector is responsible for inspecting and monitoring utility construction projects involving natural gas, electric, telecommunications, and municipal infrastructure. This position ensures all construction activities comply with safety regulations, approved plans, specifications, and applicable federal, state, local, and company standards. The inspector serves as a third-party representative of the utility or facility owner and plays a critical role in protecting public safety, infrastructure integrity, and project quality.
Why Mi-Tech, Services Inc.?
We are committed to hiring the best people and giving them the best equipment
We are dedicated to the improving energy distribution & telecommunication services
Our steady, strategic growth revolves around a commitment to quality
We are family owned and operated
We invest an average of $5,000 per employee on training each year
We believe everyone is responsible for promoting safety, regardless of job title
We are a part of the Michels Family of Companies – one of North America’s largest, most diversified energy and infrastructure construction companies
Why you?
You like to surround yourself with dedicated, value-driven people
You are up to new challenges and opportunities
You cringe when you hear: “Because that’s the way we’ve always done it.”
You like to know your efforts are noticed and appreciated
You believe that individual commitment to a group effort is key to success
You want your work to make a difference in people’s lives
What it takes
Experience or knowledge in natural gas, electric, telecommunications, or municipal utility construction is preferred, but not required.
Strong understanding of utility safety practices, excavation standards, and damage prevention requirements.
Ability to read and interpret construction plans, specifications, and utility maps.
Comfortable working independently in the field and navigating multiple locations daily.
Proficient with mobile technology and electronic reporting systems such as ArcGIS -Survey123 and/or Field Maps is preferred, but not required.
Experience with GPS instruments such as Trimble and/or Topcon preferred, but not required.
Willing to travel Statewide.
AA/EOE/M/W/Vet/Disability
https://www.michels.us/website-user-privacy-policy/
Location: United States (Remote); United Kingdom (Remote)
Workplace: Remote
About Teleport
Don't wait for the future of infrastructure. Be part of it.
Teleport is the AI Infrastructure Identity Company. We're solving one of the hardest problems in security: giving every human, machine, workload, and AI agent a cryptographically secured identity, improving engineering velocity while maintaining security. We make trusted computing simple. This gives you the freedom, power, and autonomy to build and innovate with confidence.
Remote-first and globally distributed, we work with companies like Nasdaq, DoorDash, and Elastic to secure infrastructure for an AI world.
About the Role
We are looking for product focused full stack engineers to work on Teleport itself. You will build the user interfaces and backend APIs to implement them for all parts of Teleport. You will work on the full product lifecycle from working with customers to understand their problems, writing RFDs for your proposed design, implementation, testing, and documentation.
Teleport is an open source project and most of the code you will write will be open source and written in Go (or Rust), TypeScript, React.
What You'll Do
- Making Teleport more efficient by adding server-side pagination and filtering capabilities https://github.com/gravitational/teleport/blob/master/rfd/0055-webui-ss-paginate-filter.md
- Making Teleport easier to use by designing experiences that guide the user through the setup and onboarding process.
- Building user interfaces that support our passwordless https://github.com/gravitational/teleport/blob/master/rfd/0052-passwordless.md vision.
What We're Looking For
- Go experience
- TypeScript and React experience
- Strong understanding of web security https://developer.mozilla.org/en-US/docs/Web/Security
How We Hire
- You will join 30 minute intro call and we will walk you through the compensation, interview process and requirements.
- You will join a 30 minute call with the hiring manager, and we will walk you through the take home exercise and help answer questions
- You join a Slack channel and submit a coding challenge in Go and TypeScript https://github.com/gravitational/careers/blob/main/challenges/fullstack/challenge.md using GitHub.
Why Teleport
You're joining a company where the problem is real, the team is small, and your work shows up directly in the product. We're not a big company, you won't get lost in a crowd. You'll have the freedom and autonomy to do what you're great at, alongside teammates who care about doing it right and want to see you succeed. The work is collaborative, there's real room to grow, and the mission is one worth showing up for.
Remote-first and globally distributed, we're genuinely passionate about what we're building.
The Benefits
At Teleport, we believe your career is more important than a list of perks. That's why we focus on making your day-to-day the best it can be — giving you the autonomy, access, and support to do the best work of your career.
- Extensive health coverage
- Annual expense budget
- Rest and recovery policies that maximize your ability to recharge
- Investment in your future with retirement savings plans
- Professional development opportunities
Teleport is an equal opportunity employer and does not discriminate against any employee or applicant on the basis of age, color, disability, gender, national origin, race, religion, sexual orientation, veteran status, or any classifications protected by federal, state, or local law.
Candidate Privacy Notice: For information about our collection and processing of job applicant personal data for this position, please see our Job Applicant Privacy Policy and Notice of Collection at goteleport.com/legal/apply/job-applicant/ http://goteleport.com/legal/apply/job-applicant/
Location: Los Angeles, USA; Mercer Island, USA
Riot engineers bring deep knowledge of specific technical areas but also value the opportunity to work in a variety of broader domains. As an Engineering Manager, you’ll guide an engineering team through all the phases of the software development and operations lifecycle. You’ll also serve as a people manager, mentor, and coach for the engineers, overseeing performance management, growth opportunities, and accountability.
The Core Game Loop owns services that power the player experience while they are in game and deliver data to downstream services after a game is completed. This includes game provisioning, game data delivery, and services that power leaderboards and match history. By concentrating expertise in game platforms, we are able to offer robust, scalable features to all current and future Riot games. As a
Manager, Software Engineering
on the Core Game Loop team, you will partner with the teams that create every Riot game, central technology teams, and teams in Tencent to ensure we are making excellent decisions, upholding a high quality bar, and operating efficiently in service of those players. You'll identify opportunities to centralize functionality and architect solutions that enable scalability and reliability worldwide. You will report to the Senior Engineering Manager of the Game Foundations org within the Publishing Platform.
Responsibilities
Manage a team of 5+ software engineers; coaching them, providing performance management, identifying growth opportunities, and ensuring positive results
Partner and collaborate with Product Leads, Delivery Leads, and Technical Leads within the team and within Game Foundations org to align on the plan the team executes against
Support the technical vision and roadmap by allocating engineers and skill sets to meet goals and deliver results
Own the interviewing and onboarding process for new engineering team members
Be accountable for the technical health of the products owned by the team
Stay hands-on with the team's tech, overseeing the technical design, and deliverables of the team and working with the team's technical leadership
Regularly engage with the codebase by participating in code reviews and non-critical tasks
Build healthy relationships with other engineering teams across Riot globally, in order to foster cross-team collaboration
Own and operate live services, meeting reliability expectations, handling emergent issues, and supporting engineers during on-call troubleshooting
Required Qualifications
Bachelor's or Master’s degree in Computer Science or a related field, or equivalent professional experience
5+ years experience as a Software Engineer, preferably on technical product teams that build tooling for services and APIs
2+ years experience directly leading an engineering team either as an Engineering Manager or Technical Lead
Experience managing engineers and actively participating in their growth and development
Experience recruiting candidates and growing an engineering team
Experience with distributed systems, microservices, and software at a high scale
Experience operating and maintaining live services, including handling emergent issues and on-call troubleshooting
Desired Qualifications
Experience building services using Java, Kotlin, or Go
Experience developing using cloud infrastructure (such as AWS, GCP), using containers and orchestration (such as Docker, Kubernetes), managed using infrastructure as code (such as Terraform, Ansible)
Experience with CI/CD pipelines (such as GitHub Actions, Jenkins)
Experience with relational databases (such as MySQL) and key value stores (such as Redis).
Experience with queuing or stream-processing platform (such as Kafka)
For this role, you'll find success through craft expertise, a collaborative spirit, and decision-making that prioritizes your fellow Rioters, who are the customers of your work. Being a dedicated fan of games is not necessary for this position!
Our Perks:
Riot focuses on work/life balance, shown by our open paid time off policy and other perks such as flexible work schedules. We offer medical, dental, and life insurance, parental leave for you, your spouse/domestic partner, and children, and a 401k with company match. Check out our
benefits pages
for more information.
At Riot Games, we
put players first
. That mission drives every decision in our quest to create games and experiences that make it better to be a player. Whether you’re working directly on a new player-facing experience or you’re supporting the company as a whole, everyone at Riot is part of our mission. And just like in our games, we’re better when we work together. Our goal is to create collaborative teams where you are empowered to bring your unique perspective everyday. If that sounds like the kind of place you want to work, we’re looking forward to your application.
It’s our policy to provide equal employment opportunity for all applicants and members of Riot Games, Inc. Riot Games makes reasonable accommodations for handicapped and disabled Rioters and does not unlawfully discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, handicap, veteran status, marital status, criminal history, or any other category protected by applicable federal and state law. We consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with applicable federal, state and local law, including the California Fair Chance Act, the City of Los Angeles Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, the San Francisco Fair Chance Ordinance, and the Washington Fair Chance Act.
Per the Los Angeles County Fair Chance Ordinance, the following core duties may create a basis for disqualifying candidates with relevant criminal histories:
Safeguarding confidential and sensitive Company data
Communication with others, including Rioters and third parties such as vendors, and/or players, including minors
Accessing Company assets, secure digital systems, and networks
Ensuring a safe interactive environment for players and other Rioters
These duties are directly related to essential operations, safety, trust, and compliance obligations within our organization. Please note that job duties may evolve based on business needs and additional responsibilities may be assigned as necessary to maintain operational efficiency and security.
Location: Remote: United States; San Francisco HQ; Remote: Canada
Workplace: Remote
At Render, we’re building the modern cloud platform for developers creating AI-native, full-stack, multi-service applications. Our mission is to eliminate the tradeoff between the power of hyperscalers and the simplicity of developer-friendly platforms—so teams can ship fast, scale reliably, and focus on their product, not infrastructure.
Unlike complex hyperscalers or ephemeral edge/serverless solutions, Render offers a developer-first experience with persistent compute, dynamic autoscaling, built-in orchestration, and observability, allowing teams to launch, scale, and manage real-world applications without writing infrastructure code or managing servers. Whether you're building LLM-powered applications, scalable SaaS products, or async processing pipelines, Render empowers teams to move fast and scale confidently from MVP to millions of users.
Our platform is trusted by over 7 million developers worldwide and continues to grow rapidly. In February 2026, we raised an additional $100M in Series C financing, bringing our total funding to $260M, to accelerate our vision of making cloud infrastructure both powerful and intuitive—designed for the speed of modern AI development.
We’re a diverse and talented team that values craft, velocity, and user experience. If you’re excited to help shape the future of the intelligent cloud and empower developers everywhere, we’d love to hear from you.
APPLYING TO RENDER
We're seeking candidates who possess high integrity, humility, and an insatiable drive to learn. Through reasoned discussions and continuous feedback, we strive to improve both individually and collectively. We foster an environment of mutual trust and respect, empowering effective debate to achieve the best outcomes for our customers and team.
We especially encourage members of underrepresented groups in the tech community to apply and understand that not all successful candidates will meet each requirement listed.
Our interview process is unique to each role, and we value the candidate experience just as much as our customer experience. We hope your conversations with us reflect a thoughtful process that is illuminative, enjoyable, and respectful of your time.
ABOUT THE ROLE
Render's mission is to eliminate the undifferentiated work that goes into building software products by offering an easy-to-use, powerful cloud platform for developer teams of all sizes.
We are scaling rapidly. Our customers have created hundreds of thousands of services on our platform, and the numbers continue to accelerate. Our customers trust us to deliver a secure, reliable and performant cloud — this is our top priority as a company.
By joining us at an early stage, you will design and build the cloud platform you've always wanted for yourself, and make decisions that will shape our product and company, directly impacting developers around the globe.
Render builds and operates our own networking stack end-to-end. We leverage open source and industry-standard technologies, modifying and extending the core components to meet the unique reliability, performance, and scaling demands of our platform.
We are looking for engineers with deep specialization in network infrastructure, particularly with experience in edge/ingress networking and Kubernetes networking internals.
Areas of focus include scaling and evolving our traffic routing and load balancing systems; advancing Kubernetes and Linux networking components to support large-scale, zero-downtime operation; and exploring networking for Render’s next-generation compute platforms.
WHAT YOU'LL DO
- Own Render's core network infrastructure across multiple data centers and cloud providers. Shape how networking evolves as Render rapidly scales.
- Design and build customer-facing networking capabilities that give users greater flexibility in how their services connect, communicate, and how traffic is routed.
- Investigate complex networking issues across the stack, from the kernel and data plane to distributed systems and edge networking.
- Drive performance and reliability improvements through systematic profiling and tuning.
- Partner with engineers across the company to build a platform that is stable, predictable, and secure.
- Participate in our on-call rotation. Help continuously improve how we detect, respond to, and learn from incidents.
WHAT WE'RE LOOKING FOR
- At least 6 years of experience building and operating large-scale networking or infrastructure systems.
- Experience with Kubernetes networking internals (e.g. kube-proxy, CNI plugins, service routing) or similar container networking technology.
- Experience with Linux networking internals (e.g. routing, netfilter/iptables/nftables, conntrack) in production environments.
- Experience building and operating traffic routing systems (e.g. load balancers, ingress, proxies) at scale.
- Strong experience designing, debugging, and operating distributed systems.
- Experience planning and executing high-risk changes with minimal downtime.
NICE-TO-HAVES
- Experience with eBPF or advanced Linux kernel networking.
- Experience developing systems in Go or similar languages that interact with low-level OS and networking primitives.
RELEVANT LINKS FROM THE RENDER ENGINEERING TEAM
- The Namespaces Scaling Trap https://www.youtube.com/watch?v=NCKhoYsNsmE (video podcast interview) and related article How We Found 7 TiB of Memory Just Sitting Around https://render.com/blog/how-we-found-7-tib-of-memory-just-sitting-around
- SEV0 SF 2025 | Boundary Cases: Technical and social challenges in cross-system debugging https://www.youtube.com/watch?v=d4hAyzmBNXk
- Distributing Global State to Serve over 1 Billion Daily Requests https://render.com/blog/distributing-global-state-to-serve-over-1-billion-daily-requests
- Breaking down OpenAI's outage: How to avoid a hidden DNS dependency in Kubernetes https://render.com/blog/a-hidden-dns-dependency-in-kubernetes
- Kubernetes Informers are so easy... to misuse! https://render.com/blog/kubernetes-informers
If this role excites you but you don’t meet every single requirement, we’d still love to hear from you—your unique experience might be just what we need.
BENEFITS
- 4 weeks of paid vacation.
- 14 weeks of fully paid parental leave for all parents to bond with a newly born, adopted, or fostered child. We will also work with you to create a supportive plan of return.
- Long-term disability, life insurance, and 401K plans.
- 100% employer-paid medical coverage and 99% employer-paid dental and vision coverage for you and a dependent. FSAs and HSAs are available as well.
- Monthly lifestyle stipend for wellness, mental health and therapy, hobbies, etc.
- Monthly cell phone and internet subsidy.
- Commuter benefits for Renders in the Bay Area, and home office stipends for remote Renders.
- Continuous learning benefits & related support.
This position is generally not eligible for new visa sponsorship. At Render's discretion, the business may sponsor existing visa transfers. Applicants who require sponsorship must receive business authorization.
Render is an equal-opportunity employer. We know that employing a team rich in diverse thoughts, experiences, and opinions allows our employees, product, and community to flourish. We make all employment decisions including hiring, evaluation, termination, promotional, and training opportunities, without regard to race, religion, color, sex, age, national origin, ancestry, sexual orientation, physical handicap, mental disability, medical condition, disability, gender or identity or expression, pregnancy or pregnancy-related condition, marital status, height and/or weight.
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
We encourage all who are interested to apply. We can't wait to hear from you!
Render — CCPA Applicant Privacy Notice https://drive.google.com/file/d/1wKr9IejoT5McFrs9I2mahQnf6AFwb3z2/view
Render — GDPR Applicant Privacy Notice https://drive.google.com/file/d/1_8jtyXQ1HdRdTdQn9sZ7n-R-zAGBmsFa/view
Location: Oakland, California, United States, AMER; USA - New York
From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven.
About Us
Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data.
Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on.
Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions.
As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact.
During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites.
About the role
Fivetran + dbt Labs is hiring a Senior Manager to lead the Product Design team responsible for dbt Labs. This role reports to the Director of Product Design.
This is an exciting time to join! As Fivetran and dbt Labs come together, you will help shape a coherent product experience, guide the design team through change, and influence the future of AI-powered data products. You will join a strong and talented design organization whose members care deeply about their craft, the practitioners they serve, and one another.
This is a people management and product leadership role for a design leader who wants to shape technical data products at scale. You will manage and develop a team of product designers, shape the UX strategy for dbt products, and partner with Product and Engineering leaders to define how data teams build, transform, govern, and trust their data. You will lead through strategy, coaching, direction, and cross-functional partnership.
What you'll do
Lead the dbt product design team
You will manage and coach a team of product designers who work across dbt platform and CLI-based products. Designers own the full design process from problem definition and research to UX/UI and partnering with eng/PM through delivery. You will build a culture where designers feel supported, challenged, and empowered to do thoughtful, high-quality work for deeply technical users. You will set clear expectations, give actionable feedback, support career growth, and create the conditions for strong design craft.
Own UX strategy for dbt
You will define and drive UX strategy across dbt’s product experience. You will identify the highest-impact experience opportunities, connect design priorities to product outcomes, and partner with Product and Engineering leadership as a strategic peer in roadmap and product direction conversations.
Provide design direction for technical data products
You will set direction for design work across complex workflows used by technical practitioners. You do not need to be an engineer, but you do need enough technical fluency to understand the domain, evaluate tradeoffs, and partner credibly with engineering leaders. You should be comfortable discussing data workflows, ELT, analytics engineering, developer tools, and infrastructure-oriented product experiences.
Shape AI and agentic product experiences
You will lead design strategy for AI-powered and agentic experiences within dbt. This requires more than adding AI features to existing workflows. You will help the team design systems that make AI assistance understandable, useful, and safe for high-stakes technical work. As dbt builds experiences where both humans and AI agents interact with the same data infrastructure, you will also think about how product surfaces need to work for both personas.
Help integrate Fivetran and dbt Labs design
You will play an important role in co-creating a unified product experience and design culture. This is a change-leadership role. You will partner with the Director of Product Design to merge systems, processes, and culture. You will help designers navigate a new organizational context, build strong cross-functional relationships, and create clarity during a period of product and company evolution.
Build an AI-native design operating model
You will operationalize AI across the design lifecycle (from research synthesis and ideation to prototyping, documentation, and design QA). You will establish shared workflows, quality standards, and review practices that help the team move faster without compromising product quality or consistency. In partnership with the Director of Product Design and Product and Engineering leadership, you will also define cross-functional standards for when AI-generated work requires design review, ensuring clear expectations for human oversight, quality, and continuous improvement.
What we're looking for
Required experience
You have 8+ years of product design experience and at least 5 years managing product designers.
Strong people management skills, including coaching, performance development, direct feedback, and team culture building.
Strong cross-functional leadership with Product, Engineering, Research, Data, Marketing, and executive stakeholders.
Deep care for craft, with a leadership style focused on direction, critique, strategy, and coaching rather than acting as the primary IC designer.
Designing for, or leading teams that design for, technically complex products such as ELT, data infrastructure, analytics engineering, developer tools, cloud platforms, data governance, observability, or adjacent enterprise infrastructure products.
Designing AI-powered or agentic product experiences. You understand the difference between a lightweight AI feature, a copilot, and an agentic workflow.
Experience operationalizing AI workflows for product design teams that goes way beyond AI prototyping. You have defined how designers use AI across the design lifecycle and have established the workflows, standards, review practices, and quality thresholds needed to make AI-assisted work effective at team scale.
Owning UX strategy for a meaningful product area. You can show how your design strategy influenced product direction, not just how your team delivered screens.
Strong technical fluency. You can reason about complex systems, understand engineering constraints, and discuss tradeoffs with Product and Engineering partners.
Experience designing for expert technical users such as data engineers, analytics engineers, software engineers, platform teams, or security teams.
#LI-DJ1 #LI-Hybrid
The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role. Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process.
Oakland Pay Range
$201,765
—
$252,206 USD
Perks and Benefits
100% employer-paid medical insurance
*
Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off.
RSU stock grants*
Professional development and training opportunities
Company virtual happy hours, free food, and fun team-building activities
Monthly cell phone stipend
Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents.
*
May vary by country and worker type - please reach out to your recruiter for more information
Click
here
to learn more about Fivetran's Benefits by Region.
We’re honored to be
valued at over $5.6 billion
, but more importantly, we’re proud of our
core values of Get Stuck In, Do the Right Thing, and One Team, One Dream
. Read about us in
Forbes
.
Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities.
To learn more about Fivetran’s culture and what it’s like to be part of the team,
click here
and enjoy our video.
To learn more about our candidate privacy policy, you can
read our statement here
.
We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this
form
. We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.
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
As our Cloud Hyperscaler Readiness Lead, you’ll build scalable programs to set our cloud partners (AWS, Google Cloud, and Microsoft Azure) up for success. You will support the global sales teams across our cloud partners with content, training, and programming, working closely with Anthropic’s Product Marketing,Partner Enablement, and Cloud Partnership teams. Your job is to develop and curate the right material on a rapid cadence, and to tailor content for each audience, ensuring that the messages, formats, and channels each cloud uses to upskill their sellers and solutions architects can position and deploy Claude with confidence. You’ll stay close to our GTM teams, using what our co-sellers are hearing in the field to sharpen what you build and how it lands. This role is the connective tissue that helps diverse audiences across all our cloud partners understand not just what Claude does but also why it matters to the customers they serve.
Responsibilities
Land our mission and differentiation.
You'll make sure Anthropic's mission and our approach to safe, responsible frontier AI show up accurately and consistently wherever cloud sellers encounter us, so the case for Anthropic as the enterprise's trusted AI partner is clear. When positioning changes, you'll get the update into the right channels quickly and retire what's out of date.
Ensure internal and external readiness.
You'll shape our certifications and scaled training for the way each cloud learns and upskills its people. You won’t simply rinse-and-repeat known patterns; instead, you’ll shape programs that fit each provider's world and map to how its marketplace and co-sell mechanics actually work. Internally, you'll enable Anthropic’s field team to be aware of products and programs and effectively engage CSP partners.
Connect the field to the content.
You'll pair internal assets with what our GTM team are hearing in customer conversations, and turn that traction into co-sell plays and assets the next hundred sellers can use without anyone from our team in the room.
Measuring Impact.
You'll define the signals that connect this work to partner-sourced pipeline, deal velocity, and seller engagement, watch what's actually changing seller behavior, and adjust based on what you see.
You may be a good fit if you have
A working understanding of how Cloud Service Providers go to market
Deep understanding of what motivates sellers, and how to land a message so it gets retained
A track record of taking a narrative or asset to scale through channels you don't own, and showing what changed because of it
Excellent program management skills, a systems mindset, and comfort operating in ambiguity against a fast launch cadence
Experience pairing marketing and enablement content with field feedback to build plays, assets, and/or repeatable programs for internal and external teams
A background in product marketing, partner or channel marketing, sales enablement, or co-sell program management. (We’re also very happy to hear from you if you come from a non-traditional background!)
The ability to make safety and responsibility a credible, compelling part of a commercial story, and genuine interest in Anthropic's mission
Strong presence in front of an audience, from a live seller call to a room of technical and commercial people at once
The ability to influence people you don't manage, across Anthropic and inside large partner organizations
Willingness to dive in and figure out what needs to be done, often without concrete guidance or a large supporting team
Strong candidates may also have
Experience with marketplace and/or reseller motions
Experience shaping positioning and differentiation for enterprise buyers
Experience launching technical products or platform capabilities through a channel or partner ecosystem
Hands-on familiarity with LLM and AI developer tooling, or a demonstrated ability to get technical quickly in a new domain
Experience using AI in your own day-to-day workflows to extend your scale and reach
Familiarity with LMS and partner portal platforms
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:
$270,000
—
$310,000 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
WHY HARVEY
At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come.
This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched.
Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you.
At Harvey, the future of professional services is being written today — and we’re just getting started.
ROLE OVERVIEW
As an Enterprise Customer Success Manager, you’ll play a critical role in guiding our clients through their journey with Harvey, and help define the future of work at top enterprises and leading Law Firms. This position is pivotal in ensuring our clients not only adopt but also derive maximum value from our technology. You'll act as a trusted advisor, deeply integrating Harvey into their business processes and workflows.
WHAT YOU'LL DO
- Strategic Implementation: Lead the integration of Harvey into client workflows, ensuring seamless adoption and optimal use of our AI solutions.
- Training & Enablement: Evangelize the power of LLMs as you meet with and enable end users to adopt Harvey on a daily-basis as it becomes a “must have” product.
- Client Relationship Management: Serve as the primary contact for clients with a prescriptive and consultative approach and serving as a thought partner to deliver a superior customer experience.
- Success Metrics Management: Leverage adoption rates, utilization metrics, and other KPIs to drive strategies ensuring client satisfaction and high ROI.
- Advocacy and Engagement: Encourage user and stakeholder engagement, transforming them into Harvey advocates within their organizations.
- Customer Health Monitoring: Use analytics and feedback to maintain customer satisfaction, ensuring readiness for renewal and expansion opportunities.
- Feedback Loop: Relay client insights back to our internal teams, aiding in the continuous improvement of our product and services.
- Travel may be required from time to time, including visits to customer office locations and company offices.
WHAT YOU HAVE
- Experienced background in asset management, banking or financial services or strategic customer success/account management experience, legal (big law) or top tier management consulting firms and direct experience managing large-scale technology projects.
- Individuals with excellent communication and strategic planning skills, capable of influencing stakeholders at various levels.
- Results driven candidates who are able to ruthlessly prioritize competing tasks and demanding customers seamlessly
- Team players described as committed, collaborative and proactive with a team-first mentality.
WHAT WE OFFER
- A chance to be at the forefront of AI technology and innovation, directly impacting how our clients' businesses operate and thrive.
- An opportunity to contribute to the growth and direction of our rapidly-evolving Customer Success program, building out best-in-class playbooks and processes.
- A collaborative work environment that promotes growth, learning, and development.
DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES [HERE https://www.notion.so/harveyai/Harvey-Candidate-Privacy-Policies-319ac3fcdd7a803bb807d5094f249922].
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Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai
Location: Canada; Calgary; Winnipeg; Vancouver; Halifax; Edmonton; Toronto; Victoria; Montreal
Workplace: Remote
WHO ARE WE?
Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems.
We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that.
We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft.
We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us!
Why this role?
We are on a mission to build machines that understand the world and make them safely accessible to all. Data quality is foundational to this process. Machines (or Large Language Models, to be exact) learn in similar ways to humans, by way of feedback. By labelling, ranking, auditing, and correcting model output, you will improve Large Language Models' performance for iterations to come, thus having a lasting impact on Cohere's technology. We are hiring Generalist professionals with broad backgrounds that span multiple consumer-facing or personal domains.
This is a judgment-driven role, not passive data entry. You will review, assess, and provide structured feedback across a broad and evolving range of tasks, evaluating, stress-testing, and improving our models on English-language data spanning multiple modalities (text, image, and structured formats such as JSON, CSV/TSV, and Markdown). This is a great opportunity for professionals with strong analytical skills to contribute to high-impact annotation projects.
Please Note: This is a part-time independent contractor position available within Canada only. We seek candidates who can commit to 16 hours per week at a CAD $30/hour contract rate. This role is BYOD 💻 (Bring Your Own Device, laptop). This position is remote.
As an Data Annotation Specialist, you will:
- Evaluate and rank model outputs: Complete preference and comparison tasks, assessing which responses best conform to project guidelines for accuracy, helpfulness, tone, and safety, and writing clear justifications for your judgments.
- Stress-test and break models: Probe models adversarially to surface failure modes, unsafe behavior, and capability gaps, and document reproducible cases that engineering and research teams can act on.
- Create datasets: Author high-quality prompts, responses, and exemplars to build training and evaluation datasets, following detailed specifications and editing machine-written or human-written outputs to standard.
- Build and apply rubrics and taxonomies: Contribute to the design of grading criteria and rubrics, then apply them consistently to produce structured, high-quality annotations across task types.
- Annotate and correct multimodal data: Label, audit, and rectify inaccuracies across text, image, and structured data, maintaining a high standard of data integrity and accuracy.
- Calibrate and maintain consistency: Participate in calibration exercises and inter-annotator agreement checks to align on standards, and flag ambiguous or uncovered edge cases rather than guessing, since a single misjudgment replicated at scale degrades a model.
- Adapt to experimental work: Take on new and evolving task types as project needs shift, applying sound judgment in areas where guidelines are still being developed.
- Report on model performance: Surface and communicate quality and performance trends in model and agent behavior, giving cross-functional partners clear, well-evidenced feedback on where models succeed, fail, and degrade.
You may be a good fit if you have:
- 1+ years of experience in AI data annotation, LLM evaluation, content moderation, research, or a related analytical role, with exposure to quality assurance, and/or preference ranking.
- Experience applying detailed guidelines to complex and often ambiguous content, with strong contextual and sociocultural judgment, sensitivity to nuance, tone, and register, and the ability to reason well in cases where there is no single correct answer.
- Comfort with ambiguity: a willingness to flag unclear or uncovered edge cases rather than guess, and to work productively on novel, experimental tasks whose definitions are still evolving.
- A sharp, curious eye for inconsistencies, subtle errors, and model failure modes, including the instinct to probe models adversarially and surface where they break. Familiarity with how large language models behave, such as hallucination, sycophancy, and instruction-following gaps, is a plus.
- Excellent command of written English and strong reading comprehension, with the ability to clearly justify your evaluations, including why an output is correct or incorrect, high-quality or low-quality, and to write clear prompts and exemplars that explain your reasoning. Bonus points if you are fluent in another language!
- Strong attention to detail and commitment to accuracy, with the ability to maintain consistency across high-volume and monotonous tasks.
- Comfort working with annotation platforms and structured formats such as JSON, CSV/TSV, Markdown, XML, and YAML.
- Strong execution in a remote environment, including good time management, comfort using new tools, and the ability to work independently in a global, asynchronous team.
Candidate Journey
- Initial Screening: Our Talent Team will review your application.
- First Assessment: If selected to move forward, you’ll receive a multiple-choice assessment by email.
- Second Assessment: Candidates who achieve a passing score will be contacted by a member of our team to complete a more comprehensive assessment focused on their area of expertise.
- Video Screen: If selected to move forward, you’ll have a short video call with a member of our Operations Team.
- Final: Selected candidates will receive an Independent Contractor Agreement.
As an independent contractor, you maintain control over how you complete your work and may work with multiple clients simultaneously, although we ask you to declare if any of these are with a direct competitor of Cohere and maintain IP confidentiality of the Cohere project. Independent contractors are not eligible for health benefits or other benefits provided to employees. Compensation for services is provided to contractors by contractors invoicing for services provided pursuant to the terms of our agreement with the contractor.
It is important to understand that as an independent contractor, continuous work is not guaranteed. The client-contractor relationship is fundamentally project-based, meaning engagements may be temporary, periodic, or intermittent based on our organizational needs and project availability. As an independent contractor, you should anticipate fluctuations in workflow and, therefore, compensation for services when Cohere does not require as many hours of services in a week.
Prospective candidates, please be advised: this role involves working with human-generated and model-generated tasks that may involve exposure to not safe for work (NSFW) text content as part of data annotation tasks, including explicit, offensive, or other inappropriate material.
Location: 2405 Satellite Boulevard Suite 200, Duluth, GA 30096
Come join our team!
There are many reasons why EPIC Insurance Brokers & Consultants has become one of the fastest-growing firms in the insurance industry. Fueled and driven by capable, committed people who share common beliefs and values and “bring it” every day, EPIC is always looking for people who have “the right stuff” – people who know what they want and aren’t afraid to make it happen.
Headquartered in New York City and founded in 2007, our company has over 3,000 employees nationwide. With locations spread out across the U.S., our local market knowledge and industry expertise helps support our clients' regional and global needs. We have grown very quickly since our founding, and we continue to see growth and success thanks to our hard-working and growth-minded employees.
Our core values are: Owner mindset, Inspire trust, Think big, and Drive results. If these values and growth align with what you're looking for in your next career? Then consider joining our amazing team!
WHAT YOU’LL DO:
Analyze insurance programs to identify risks, coverage deficiencies, contingent liabilities, and transaction-related exposures
Implement post-close insurance strategies, including entity additions/removals, coverage restructuring, policy endorsements, and tail/run-off coverage placement
Serve as a trusted advisor on complex commercial insurance programs, renewal strategy, carrier negotiations, and ongoing risk management initiatives
Collaborate with clients, producers, underwriters, legal counsel, and transaction advisors to deliver integrated risk and insurance solutions aligned with transaction objectives
Serve as the primary point of contact for clients, delivering expert guidance on risk management, coverage structure, and compliance requirements
WHAT YOU’LL BRING:
Bachelor’s degree with a minimum of 5+ years of client service, or High School degree with a minimum of 7 years of client service
Team-oriented self-starter, with the ability to organize, prioritize, monitor, control workflow deadlines, and be flexible
Ability to work in a fast-paced environment with demonstrated ability to juggle multiple competing tasks and demands
Adaptability and resilience in managing shifting priorities
A collaborative mindset to work with teams across EPIC
Insurance technical skills; ability to apply knowledge of coverage forms in analysis, identification of coverage gaps, and ongoing coverage consultation
Receptive to feedback; critical thinking and problem-solving skills; high adaptability
Ability to work well under pressure with attention to details
Strong verbal and written communication skills and analytical abilities
Property and Casualty Insurance License
Insurance Designation(s) preferred
Proficiency in Microsoft Office
Experience with agency management systems such as Sagitta, ImageRight, etc
WHY EPIC:
EPIC has over 60 offices and 3,000 employees nationwide – and we’re growing! It’s a great time to join the team and be a part of this growth. We offer:
Generous Paid Time off
Managed PTO for salaried/exempt employees (personal time off without accruals or caps); 22 PTO days starting out for hourly/non-exempt employees; 12 company-observed paid holidays; 4 early-close days
Generous leave time options: Paid parental leave, pregnancy disability and bonding leave, and organ donor/bone marrow donor leave
Generous employee referral bonus program of $1,500 per hired referral
Employee recognition programs for demonstrating EPIC’s values plus additional employee recognition awards and programs (and trips!)
Employee Resource Groups: Women’s Coalition, EPIC Veterans Group
Professional growth & development: Mentorship Program, Tuition Reimbursement Program, Leadership Development
Unique benefits such as Pet Insurance, Identity Theft & Fraud Protection Coverage, Legal Planning, Family Planning, and Menopause & Midlife Support
Additional benefits include (but are not limited to): 401(k) matching, medical insurance, dental insurance, vision insurance, and wellness & employee assistance programs
50/50 Work Culture: EPIC fosters a 50/50 culture between producers and the rest of the business, supporting collaboration, teamwork, and an inclusive work environment. It takes both production and service to be EPIC!
EPIC Gives Back – Some of our charitable efforts include Donation Connection, Employee Assistance Fund, and People First Foundation
We’re in the top 10 of property/casualty agencies according to “Insurance Journal”
To learn more about EPIC, visit our Careers Page:
https://www.epicbrokers.com/about/epic-careers/
.
EPIC embraces diversity in all its various forms—whether it be diversity of thought, background, race, religion, gender, skills or experience. We are committed to fostering a work community where every colleague feels welcomed, valued, respected and heard. It is our belief that diversity drives innovation and that creating an environment where every employee feels included and empowered, helps us to deliver the best outcome to our clients.
California Applicants - View your privacy rights at:
https://www.epicbrokers.com/wp-content/uploads/2025/01/epic-ca-employee-privacy-notice.pdf
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Massachusetts G.L.c. 149 section 19B (b) requires the following statement: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
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УдалённоUnited States; Phoenix; Seattle; California; Denver; We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities
seniorLagos, Nigeria
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Настройте подбор один раз, и подходящие вакансии будут сами приходить в Telegram.
Настройте подбор, и подходящие вакансии будут приходить в Telegram.
San Francisco, CA | New York City, NY | Seattle, WA
San Francisco, CA | New York City, NY
San Francisco, CA; Maintain a regular on-site presence in San Francisco
Madison, WI
УдалённоseniorUnited States (Remote); United Kingdom (Remote)
Los Angeles, USA; Mercer Island, USA
УдалённоRemote: United States; San Francisco HQ; Remote: Canada
seniorOakland, California, United States, AMER; USA - New York
leadSan Francisco, CA | New York City, NY | Seattle, WA
New York
УдалённоCanada; Calgary; Winnipeg; Vancouver; Halifax; Edmonton; Toronto; Victoria; Montreal; Please Note: This is a part-time independent contractor position available within Canada only
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