Location: Shanghai, China; Hong Kong; Taipei, Taiwan
Freelance Trainer & Associate Consultant
(Luxury Retail / Customer Experience)
CXG 外部合作讲师 / 轻咨询顾问(奢侈品零售 / 客户体验)
Location: Greater China / APAC | Engagement Type: Freelance / Project-based
工作地点:大中华区 / 亚太地区|合作形式:自由职业 / 项目制合作
Role Positioning (Please Read Carefully)
岗位定位(请务必阅读)
This is not a generic training role. You are expected to deliver impactful training and translate business challenges into actionable behaviors.
这不是一个通用型讲师岗位。你需要既能交付高质量培训,又能将业务问题转化为可执行行为。
Key Responsibilities
岗位职责
1. Training Delivery (Core): Deliver workshops for frontline and managers on service excellence, VIC clienteling, sales and leadership.
1. 培训交付(核心):为一线及管理者提供培训,包括服务、VIC客户经营、销售转化及领导力。
2. Business Translation: Translate business issues into behavioral standards and training solutions linked to KPIs.
2. 业务转化:将业务问题转化为行为标准与培训方案,并与业务指标挂钩。
3. Content Adaptation: Customize CXG frameworks and localize for APAC.
3. 内容定制:基于CXG方法论进行客户化与本地化。
4. Light Consulting Support: Support workshops and provide structured feedback.
4. 轻咨询支持:参与客户讨论并提供结构化反馈。
Requirements
Mandatory Requirements (Non-negotiable)
任职要求(硬性条件)
Luxury / Premium Brand Experience: Must have hands-on experience (retail, clienteling, L&D).
奢侈品经验:必须具备深度在场经验(门店、客户经营或内部培训)。
Training Experience: Experience training frontline and managers with strong facilitation skills.
培训经验:具备一线及管理者培训经验,具备良好授课能力。
Business Understanding: Ability to connect training with business outcomes.
业务理解:能将培训与业务结果(转化、客户体验等)连接。
Preferred Profile
优先考虑
Store manager / L&D / consulting experience preferred.
有店长、培训或咨询经验优先。
Extensive experience in the automotive industry highly preferred.
汽车行业经验丰富者尤其优先。
Language: Mandarin & English required; Japanese/Korean/Cantonese a plus.
语言要求:中英文流利,日语/韩语/广东话 是加分项
What We Do NOT Look For
不考虑人选
Generic trainers without retail experience or purely theoretical profiles.
无零售经验的通用讲师或纯理论型人员。
Application Requirements
应聘要求
CV + Training portfolio + 1 case (business challenge, solution, impact).
简历 + 培训案例 + 1个案例说明(业务问题、方案及结果)。
Benefits
To be discussed during the interview.
服务费用面议
Location: New York, NY (HQ)
Workplace: Hybrid
ABOUT RAMP
Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $275B in annualized spend flows in and out of 85,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books.
The problems are high-stakes, data-dense, and unforgiving.
We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome.
The median Ramp customer saves 7.5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same.
If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it.
About the Role
We are hiring a Software Engineer to build systems across Fraud, UIM (User & Identity Management), and Identity. This role sits at the intersection of security, risk decisioning, and product experience. You will help build detection and enforcement capabilities for fraud and account takeover, as well as the identity primitives that power authentication, authorization, and safe account access.
This work is deeply cross-functional. You will partner closely with Fraud Ops, Risk Strategy, Security, Product, and Data to ship improvements that are measurable in loss reduction, attack containment, and user experience.
WHAT YOU’LL DO
- Build and evolve backend services that detect and prevent fraud across multiple surfaces, including account access and money movement.
- Develop enforcement and response tooling that enables fast, safe actions such as identity locks, business locks, payment freezes, and other containment levers.
- Improve protections against account takeover (ATO), including risk-based step-ups, monitoring, and targeted friction controls (for example “under attack” style controls and MFA surge detection/alerting).
- Design and operate high-signal systems with strong observability: metrics, dashboards, alerting, and playbooks for incidents and fraud campaigns.
- Partner with UIM/Identity stakeholders to strengthen authentication and identity foundations (roles, permissions, identity state, and related platform primitives).
- Drive end-to-end delivery: technical design, implementation, rollout strategy, and iteration based on outcome metrics.
WHAT YOU’LL NEED
- 3+ years of software engineering experience (or equivalent).
- Strong backend engineering fundamentals (APIs, distributed systems, data modeling, reliability).
- Experience building data-informed detection or decisioning systems (rules engines, scoring, anomaly detection, or similar), or strong interest in learning in this domain.
- Proven ability to operate production systems: debugging, incident response, and improving on-call quality through instrumentation and automation.
- Strong cross-functional communication skills and comfort working with product and operations partners.
Nice to Have
- Experience in fraud, risk, identity, authentication, authorization, abuse prevention, or security engineering.
- Familiarity with payments rails, card transaction risk, or account security patterns.
- Experience building internal tools for operations teams (case management, investigation, enforcement workflows).
BENEFITS AVAILABLE TO ALL FULL-TIME RAMP EMPLOYEES (GLOBAL)
- Flexible PTO
- Centralized home-office equipment ordering
- Health and wellness stipend
- Budget for intra-office travel
- Weekly coffee stipend
UNITED STATES
- 100% medical, dental & vision insurance coverage for you, with partial coverage for dependents
- One Medical annual membership
- 401(k), including employer match on contributions made while employed by Ramp
- Fertility HRA (up to $10,000 per year)
- Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay
- Pet insurance
- In-office perks: lunch, snacks, drinks, and more
- Relocation expense coverage to NYC or SF (if needed)
CANADA
- Group medical, dental, and vision coverage through Sun Life
- Life, AD&D, and disability coverage
- Fertility drug coverage (up to $4,000 lifetime)
- Group Retirement Plan with employer match (RRSP + DPSP)
- Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay
- Employee Assistance Program and virtual care through Lumino Health
UNITED KINGDOM
- Private medical insurance through Freedom Elite
- Virtual GP and at-home care via eMed x Livi
- Workplace pension through Penfold, with salary sacrifice option
- Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay
REFERRAL INSTRUCTIONS
If you are being referred for the role, please contact that person to apply on your behalf.
OTHER NOTICES
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Beware of recruiting scams: Ramp will only contact you through official @Ramp.com http://Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process.
Ramp Applicant Privacy Notice https://ramp.com/legal/applicant-privacy-notice
ГибридRelocation expense coverage to NYC or SF (if needed)
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
The Anthropic Platform Org’s mission is to help builders build. Our vision is to be the premier platform for businesses to transform themselves and their products with AI. This org is responsible for our APIs, self-serve developer experience, multi-cloud integrations, and agentic infrastructure. We serve a wide array of users from startups to large scale enterprises.
The platform team is comprised of three key areas:
Enterprise fabric
– where we are building multi-cloud integrations at extreme scale across our entire stack to meet businesses wherever they are and in the most demanding of requirements.
Frontier capabilities
– where we are building developer experiences and features that enable users to get the most out of the model and build at the very frontier of intelligence.
Agentic platform
– where we are inventing the next generation of agentic infrastructure for production-grade use and building new products to enable businesses to solve problems with agents.
Responsibilities:
Customer Understanding & Advocacy
Deeply engage with enterprise developers and technical leaders to understand their integration needs and pain points
Run regular feedback sessions and technical reviews with key enterprise customers
Build strong relationships with enterprise development teams to understand their workflows and challenges
Transform customer insights into actionable product requirements and priorities
Product Strategy & Vision
Define and execute the enterprise API strategy, balancing security requirements with developer experience
Develop a clear roadmap for enterprise API features including authentication, rate limiting, and compliance capabilities
Identify and prioritize key enterprise integration patterns that drive organizational value
Enterprise API Development
Partner with engineering to build enterprise-grade API features, security controls, and deployment tools
Design and implement enterprise integration frameworks and SDKs for common enterprise systems
Drive development of industry-specific API features and compliance capabilities
Cross-functional Leadership
Partner with sales and customer success to understand enterprise requirements and support technical evaluations
Work closely with security and compliance teams to meet enterprise standards
Collaborate with platform teams on API architecture and scalability
Engage with marketing to develop enterprise API positioning and technical materials
Minimum Qualifications
You may be a good fit if you:
Have built or shipped products
with
a hyperscaler as a partner — you know how to align goals and deliver impact across that boundary.
Have owned a revenue number, a margin target, or a channel P&L — not just a product roadmap.
Operate with high autonomy in ambiguous, fast-moving environments.
Are an excellent written communicator and able to drive clarity out of complexity.
Excel at cross-company stakeholder management and can build trusted relationships at every layer of an organization.
Preferred Qualifications
Strong candidates may also have:
Have 10+ years of experience in high-scale, high-reliability developer-facing software.
Have 5+ years of product management experience.
Experience as a founder, GM, or early-stage operator where you owned commercial outcomes, not just product outputs.
Direct experience as a PM at AWS, GCP, or Azure — or at an ISV that ships through one of their marketplaces.
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:
$305,000
—
$460,000 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.
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: Shanghai, China
Our Client
Our client is a global leader in maritime decarbonisation and fuel testing, with over 40 years of experience driving innovation and sustainability in the marine industry. Operating five state-of-the-art laboratories worldwide, our client provides testing, inspection, and advisory services that help clients optimise performance and reduce environmental impact. Beyond fuel testing, our client supports the industry’s transition toward greener operations by offering digital tools and solutions for emissions reduction. With a strong commitment to protecting customers, people, and the planet, our client plays a vital role in shaping a more sustainable future for maritime operations.
Role Purpose
To lead and control out client's operations including Sales in China based in Shanghai, with full P&L responsibility (including FQT & BQS revenue streams)
This is a general management role, reporting to the AMEA Managing Director, with responsibility for all Shanghai resources and a clear commercial focus and responsibility to deliver sales growth in China.
Role Description
Lead and control Shanghai operations, planning and supervising resources including people, equipment and finances
Provide leadership and motivation to Shanghai team including personal development and training within the budget set in the Business Plan
Direction of day-to-day work to ensure samples are tested and reported within given deadlines
Full P&L responsibility, including preparation and management of budgets
Ensure Shanghai financial performance meets Business Plan via budgeting, cash management and financial control activities under supervision of AMEA MD and within the framework of approved plans defined by CFO and within the firm's Financial Policy and Guidelines
Preparation of CAPEX plan to replace/upgrade laboratory equipment with a focus on automation and new measurement technologies
Identify innovative services for existing customer base and business cases for organic business development for review by AMEA MD and approval by GLT
Lead and control Shanghai Sales Team to meet sales targets, under direction of Group Commercial Director to deliver top-line growth via both volume increases and pricing
Attend relevant Conferences and represent the company on industry bodies and reporting the activities to relevant teams
Reporting Line & Location/Travel
Reports to the AMEA Managing Director
Line manages heads of departments and other support staff with ca 10 FTEs under direct management
Location is Shanghai, with some travel across China and infrequent travel to the company's global locations (principally Singapore, Rotterdam, Houston, Manchester)
Deliverables from Role
Deliver the Business Plan for Shanghai/China Region (Revenue & EBITDA)
Ensure Shanghai/China Region sales targets are met via business development by service line (FQT, BQS, OCM and decarbonisation) including volume and pricing metrics
Identify opportunities to grow the business (e.g. expanding current customer base, fuel suppliers, etc.)
Requirements
Knowledge & Skills
Preferable to have BSc level qualifications or equivalent experience
Preferable to have specific knowledge and demonstrable experience of the following:
Commercial/Sales
Marine (customer side)
Fuels (i.e. Downstream Oil & Gas) knowledge, specifically testing
Oil Condition Monitoring
Testing & Inspection sector knowledge
BQS knowledge (may be derived from Cargo Inspection experience)
Location: London, United Kingdom
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.
Wolt’s AdTech & Promotions team is building the systems that power how restaurants and brands grow on our platform. From campaign creation to optimization and forecasting, we develop tools that help advertisers make smarter decisions and drive measurable results. As we expand our offering, we are investing in new capabilities that combine real-time data, scalable systems, and intuitive user experiences to unlock the next phase of growth.
We’re looking for a
Staff Engineer
to join the Wolt AdTech & Promotions organization, who can drive technical direction across this space and help us build reliable, scalable systems that directly impact revenue and advertiser success.
What you’ll be doing
Drive the technical vision and architecture for Wolt’s AdTech and Promotions platforms, ensuring they are scalable, reliable, and high-performing.
Provide technical leadership across multiple teams and projects, bringing architectural consistency to complex, large-scale systems.
Work across the
end-to-end domain
, contributing to backend services, data pipelines, and advertiser-facing tools.
Design and evolve systems that support
campaign execution, targeting, ranking, allocation, and reporting
in real-time or near real-time environments.
Partner with engineering, product, and data stakeholders to align priorities, improve campaign performance, and manage trade-offs in a revenue-driven environment.
Lead large cross-team projects, guiding them from concept to rollout across multiple regions and time zones.
Ensure strong operational excellence, including observability, reliability, and incident readiness for revenue-critical systems.
Promote best engineering practices, mentor engineers across teams, and support their growth in scalability and system design.
Act as a bridge between technical and non-technical colleagues, ensuring clarity and alignment across functions.
Contribute to the technical roadmaps of AdTech and Promotions platforms by collaborating with other senior engineers.
This position is based in
London
Our humble expectations
Technical Expertise
Proven track record designing and scaling
large distributed systems in production environments
.
Strong understanding of system architecture, scalability, reliability, and performance optimization.
Experience working with
data-intensive and real-time or near real-time systems
.
Familiarity with AdTech concepts such as
targeting, ranking, attribution, or experimentation
is a strong plus.
Ability to adapt quickly to new technologies and languages; while many of our services are written in Kotlin and Go, we are looking for someone language-agnostic.
Ability to dive quickly into new domains and navigate complex system interactions.
Familiarity with modern cloud-native tools and data systems (e.g., Kubernetes, Kafka, MongoDB).
Communication & Influence
Strong communicator with the ability to influence, align, and build consensus across diverse teams and stakeholders.
Comfortable working in a global environment across
US and international teams
.
Skilled at translating complex technical decisions into clear direction for technical and non-technical audiences.
Experience mentoring and coaching engineers, helping raise the technical bar across teams.
Strong sense of ownership combined with a collaborative mindset
, able to work effectively across team boundaries to deliver shared outcomes.
Proactive in identifying opportunities and gaps across teams
, and driving alignment to solve problems holistically rather than locally.
What we offer
At Wolt, this role provides a rare opportunity to work on
challenging AdTech problems at scale
, where technical decisions directly impact revenue and user experience.
Our compensation follows a
total compensation model
, combining a competitive base salary with DoorDash RSUs.
You will play a key role in
building and evolving the next generation of advertisement tools and platforms
, shaping how advertisers create, manage, and optimize campaigns across Wolt. This is not just about maintaining systems, but about
defining and scaling new capabilities in a fast-growing domain
.
As a Staff Engineer, you will have
end-to-end ownership and high autonomy
, with the ability to influence architecture, product direction, and engineering practices across teams. Your work will have
clear, measurable business impact
, directly contributing to revenue growth and advertiser success.
You’ll be part of a
global company operating at scale
, collaborating with teams across Europe and the US, and solving problems that span multiple markets, use cases, and customer segments.
This role also offers strong opportunities for
career growth and scope expansion
, whether through deep technical leadership, cross-domain influence, or progression toward more senior individual contributor roles.
Alongside the technical challenge, you’ll work with talented engineers and leaders in a
diverse and international environment
, shaping both our systems and engineering culture while mentoring and learning from others.
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: Dublin, Ireland; London, England
Fin
, now part of Salesforce, is on a mission to help businesses provide perfect customer experiences.
Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey, from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk, giving modern support teams one single system.
Together with Salesforce, the #1 AI CRM, where humans with agents drive customer success, we're building the future of customer experience. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword, it's a way of life. The world of work as we know it is changing, and we're looking for Trailblazers who are passionate about bettering business and the world through AI.
Ready to level up your career at the company leading workforce transformation in the agentic era? You're in the right place. Agentforce is the future of AI, and you are the future of Salesforce.
The Opportunity
The
Research, Analytics & Data Science (RAD)
team turns insight into action. We uncover customer, product, and business insights and translate them into tools and decision systems embedded directly into GTM workflows.
AI has unlocked an entirely new generation of internal tools for our GTM teams. We’re evolving from static dashboards to LLM and agent-powered workflows that
do
the work: auto-researching accounts, summarizing prior interactions, drafting personalized outreach, flagging renewal risk, and assembling decks and docs - enabling Sales and Success to focus on high-value conversations.
The RAD team partners closely with GTM Systems to define problems, solutions, and measure impact - from prototype to production.
This is a high-ownership role for someone who thrives in ambiguity, is energized by solving complex real-world problems, and is motivated by seeing their work translate into tangible business impact.
What You’ll Do
Design, evaluate, and ship AI-powered internal tools
for GTM use cases - including account research & summaries, next-best-action recommendations, renewal propensity, pipeline risk detection, QBR/autobrief generation, and post-call summarization & follow-ups.
Work end-to-end:
Own the full lifecycle, from problem definition and data modeling to building production-ready tools, including writing Python backends and React frontends.
Prototype fast, ship to learn:
Rapidly build with users, then productionize quickly to iterate and deliver impact.
Instrument for adoption and outcomes:
Define success through real usage and measurable business impact (e.g., improved win rate, conversion, expansion).
Evangelize and enable:
Document playbooks, run enablement sessions, and help leaders operationalize new tooling across teams.
What You Bring
Proven track record of applied data science with measurable GTM impact - you’ve shipped models or tools that moved metrics like conversion, cycle time, or retention.
LLM/ML application experience - familiarity with RAG, prompt and tool design, vector search, evals and have leveraged AI for development.
Excellent SQL skills and fluency in Python or R, with experience applying analytical and statistical methods to business problems.
Experience with orchestration tools (e.g., DBT, Airflow) for deploying reliable data workflows.
Strong communication and empathy - ability to translate complex data concepts for non-technical stakeholders.
Collaborative
product mindset
- comfort working closely with Sales and Success teams to turn ambiguity into clear deliverables.
Unleash Your Potential
When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world.
In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. At Fin, we want to give people what they need to do the best work of their careers. Our benefits and programs are designed to support your health and wellbeing, your family, your time away from work, and your financial future. Offerings vary by location in line with local practices and requirements. Learn more about working at Fin and the benefits we offer at
fin.ai/careers
. Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.
Policies
Fin has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week.
We have a radically open and accepting culture at Fin. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non-work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our
core values
.
Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination.
Know your rights: workplace discrimination is illegal.
Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.
Location: Brazil
Are you interested in working directly for a single sponsor while having the security and additional career opportunities that working for a global CRO can bring? Our team says it’s the best of both worlds….
ClinChoice is searching for an Area/Local Safety Officer Consultant for 12 months Contract with possibility of extension
to join one of our clients.
The Area Safety Officer is responsible for ensuring that the local operating company (LOC) Safety activities related to all products are managed in compliance with local regulations and company policies/procedures at a local, regional, and global levels and in accordance with any product vigilance agreements with third party business partners
.
ClinChoice is a global full-service CRO with a strong focus on quality, professional development, and supportive culture. As a client-facing role, we are looking for confident candidates with the ability to work independently whilst establishing a high-trust environment with the client’s counterparts.
Main Job Tasks and Responsibilities:
Safety and PV System Management
Perform the quality check of the PV cases and ensure that the English translation has been properly performed.
Keep up to date a local tracker of the individual safety reports.
Be the subject matter expert at local level on the case management activities.
Closely follow the respect of the regulatory timelines of the submission of the safety reports to the local health authorities and communicate any potential delay to the appropriate teams.
Establish and maintain local indicators on the compliance of the safety reports submission.
Oversee the training of the local employees and the business partners. Maintain KPI and present them during regular team meetings.
Perform regulatory monitoring for impact on vigilance activities and responsibilities.
Perform reconciliation with other departments (distributors, third parties, vendors, and internal stakeholders).
Maintain oversight of proper identification of local literature articles for AE reporting as required.
Perform reporting/ submissions of safety reports/ updates/information (e.g., SAE, SUE, SUSARs, PSUR, RMP) to local health authorities and other Client departments as applicable.
Supporting Area Safety Lead in notifying local health authorities of any safety issues including SSI/ESI and Signals.
Maintain up-to-date knowledge of local requirements for pharmacovigilance, cosmetic and device vigilances including reporting requirements (for all applicable product classes in the territory) and collaborating with the global team to implement process changes required for identification of new requirements.
Record self-identified non-conformances and collaborating with the global team to investigate non-conformances while developing and implementing effective CAPAs.
Perform other agreed tasks assigned by manager
Perform document management and archiving as required
Procedural Document
Ensure current knowledge of all relevant company procedures and training.
Develop, update, and implement local procedures to ensure compliance with Clients global procedures and national requirements.
Audit & Inspection readiness
Support in local health authority inspections and audits conducted locally, including responding to queries during the conduct and collaborating with the global team to develop and implement CAPA (Corrective and Preventative Action) plans as applicable
PV contract management
Provide PV clauses to be included within local agreements and contribute to the PSMF with contracts-related information
Business Continuity
Ensure implementation of local business continuity plans (e.g., inspection readiness, AE reporting coverage)
Education and Experience:
Education: health care science professional or equivalent training
Significant training in data management with strong IT skills.
2-4 years of relevant experience (e.g. case data management, reconciliation manager, vigilance IT project manager…).
Fluent in English. French as a mother tongue.
Excellent communication skills and ability to work with cross-functional teams.
Rigor is a key skill for this mission.
The Application Process
Once you have submitted your CV, you will receive an acknowledgement that we received it. If you have the requirements we need, you will be invited for phone interview as the first step. Unfortunately, due to the number of applications we receive, we cannot reply to everyone individually if you are not successful.
Who will you be working for?
About ClinChoice
ClinChoice is a global full-service CRO specializing in clinical development and functional solutions for pharmaceutical, biotechnology, medical device, and consumer health companies. We have over 28 years of proven high-quality delivery and results across all our services, with over 4,000 professionals in more than 20 countries across the Americas, Europe, and Asia-Pacific.
Our Company Ethos
Our mission drives our culture: to contribute to a healthier and safer world by accelerating the development and commercialization of innovative drugs and devices. Our employees are the most valuable company asset and they are the fulcrum around which all ClinChoice activities are built and close management and training is the core instrument to develop and maintain highly-qualified personnel. The continuous training keeps the resources qualified in terms of competence and expertise and gives all personnel the clear tools needed to manage both internal and client processes with the same methodology. The success of these core values is evidenced by our below industry average turnover rates.
ClinChoice is an equal opportunity employer. We have based our success on attracting, developing, and promoting talent guided by diversity and inclusivity. Our employees come from very diverse backgrounds: gender, race, beliefs, and ethnicities. We recognize this is our strength and celebrate it.
Key words:
Area Safety Officer, Local Safety Officer, PV, QC, CAPA,QPPV
#LI-PB1
Location: Mexico; Colombia; Argentina; Brazil; Costa Rica; Panama
About Huzzle
At Huzzle, we connect exceptional talent with top opportunities at leading companies across the UK, US, Canada, Europe, and Australia. Our clients include fast-growing startups, legal firms, and global organizations across industries such as LegalTech, SaaS, FinTech, and Professional Services.
Unlike traditional outsourcing agencies, we place you directly with a client where you’re hired in-house as a valued member of their team.
Role Type: Full-time
Engagement: Independent Contractor
Industry: Legal Tech
Job Summary
We are hiring a detail-oriented and proactive Paralegal to support legal teams with research, documentation, and case preparation. This is a fully remote opportunity ideal for candidates with strong organizational skills and experience in legal administration, contract drafting, and compliance.
Key Responsibilities
Conduct legal research and summarize findings for attorneys and stakeholders
Draft, review, and proofread legal documents, contracts, and correspondence
Manage case files, documentation, and legal databases
Assist with compliance tracking and regulatory filings
Coordinate with clients, attorneys, and third parties to gather information
Maintain confidentiality and ensure accurate record-keeping
Support litigation preparation, including discovery and evidence organization
Requirements
2+ years of experience as a Paralegal or Legal Assistant
Strong knowledge of legal terminology, procedures, and documentation
Experience with contract drafting and legal research tools
Excellent written and verbal English communication skills
High attention to detail and strong organizational abilities
Ability to work independently in a remote environment
Familiarity with legal software and CRM/document management systems
Benefits
💰 Competitive salary: Based on experience and seniority
🌎 Flexible work environment
⚖️ Work with international legal teams and gain global exposure
📈 Long-term career growth in legal operations and compliance
🚀 Structured onboarding and ongoing training support
🎯 Performance-based incentives and recognition
УдалённоMexico; Colombia; Argentina; Brazil; Costa Rica; Panama
Location: Philippines; South Africa; Brazil; Mexico; Honduras; Colombia
About Huzzle
At Huzzle, we connect exceptional talent with top opportunities at leading companies across the UK, US, Canada, Europe, and Australia. Our clients include fast-growing startups, legal firms, and global organizations across industries such as LegalTech, SaaS, FinTech, and Professional Services.
Unlike traditional outsourcing agencies, we place you directly with a client where you’re hired in-house as a valued member of their team.
Job Summary
We are hiring a detail-oriented Remote Paralegal to support high-performing legal teams across international clients. This is an excellent opportunity for candidates looking for paralegal jobs from home, offering exposure to global legal processes, contract management, and compliance support.
You will play a key role in assisting attorneys, managing documentation, conducting legal research, and ensuring smooth case operations.
Role Type: Full-time
Engagement: Independent Contractor
Industry: Legal Tech
Key Responsibilities
Conduct legal research and summarize findings for attorneys and stakeholders
Draft, review, and proofread legal documents, contracts, and correspondence
Organize and maintain case files, legal records, and documentation systems
Assist with contract lifecycle management and compliance tracking
Coordinate with clients, internal teams, and external legal professionals
Manage calendars, deadlines, and court filing schedules
Support litigation preparation, including discovery and document review
Ensure confidentiality and compliance with legal standards and procedures
Requirements
2+ years of experience as a
Paralegal
, Legal Assistant, or similar role
Strong knowledge of legal terminology, documentation, and procedures
Experience with contract drafting, legal research, or compliance support
Familiarity with legal software and document management systems
Excellent written and verbal English communication skills
High attention to detail and strong organizational abilities
Ability to manage multiple tasks and meet deadlines in a remote environment
Experience working with international clients (UK/US) is a plus
Benefits
💰 Competitive salary: Based on experience and seniority
🌎 Flexible work environment
⚖️ Work with international legal teams and gain global exposure
📈 Long-term career growth in legal operations and compliance
🚀 Structured onboarding and ongoing training support
🎯 Performance-based incentives and recognition
УдалённоPhilippines; South Africa; Brazil; Mexico; Honduras; Colombia
Location: South Africa
About Huzzle
At Huzzle, we connect high-performing professionals with global companies across the UK, US, Canada, Europe, and Australia. Our clients include startups, digital agencies, and tech platforms in industries like SaaS, MarTech, FinTech, and EdTech. We match top sales talent to full-time remote roles where they’re hired directly into client teams and provided ongoing support by Huzzle.
Role Type: Full-time
Engagement: Independent Contractor
Job Summary
We are looking for a Junior Client Success Managers to manage and support students throughout their journey to securing medical school offers.
This is a high-impact, client-facing remote role where you will act as a trusted advisor to students and their families, ensuring programme success, driving retention, and contributing to revenue growth through upselling.
You will also take on light leadership responsibilities, mentoring junior support staff and owning the overall client experience.
Key Responsibilities
Manage a portfolio of students, guiding them from onboarding to medical school acceptance
Ensure high client satisfaction through proactive communication and structured support
Reduce churn and minimise refunds by identifying risks early and resolving concerns
Drive upsell opportunities
Collect testimonials, success stories, and case studies from successful students
Coordinate with internal teams to ensure seamless delivery of programmes
Act as a point of contact for both students and parents when required
Support and mentor 1–2 junior team members, acting as a mini team leader
Track progress and maintain accurate records using CRM and internal tools
Requirements
2+ years of experience in Client Success, Customer Support, Account Management, or similar roles
Background in education, teaching, healthcare (e.g., nursing), or student support is highly preferred
Strong communication and relationship-building skills (client-facing experience essential)
Proven ability to manage multiple clients and deliver high satisfaction outcomes
Experience handling objections, retention, or upselling is a strong advantage
Highly organised with strong attention to detail and follow-through
Comfortable working in a fast-paced, target-driven environment
Experience with tools such as Slack, Notion, Zoom, and Google Drive
Leadership potential or prior experience mentoring junior staff
Benefits
💻 Fully Remote: Work from anywhere with international teams
🚀 Career Growth: Join companies in SaaS, MarTech, and B2B services
🤝 Peer Community: Connect with high-performing sales professionals in our network
🧭 Ongoing Support: Receive guidance from Huzzle before and after placement
💰 Tailored Compensation: Salaries vary by client and candidate preference — we’ll match you with options that fit your goals
Location: United States + International (Remote)
GiveWell’s mission is to help people in need as much as we can by researching the most cost‑effective ways to save and improve lives, sharing our work openly, and directing donations to the programs we believe will do the most good. Our work, which focuses on global health and well-being, is funded by tens of thousands of donors who rely on our research to inform their giving. We’ve grown from directing $1.5 million in 2010 to directing more than $400 million in 2025. We anticipate our total grantmaking is likely to approach or even exceed $1 billion this year, and we are working toward a future that could be several times that scale. Through years of deliberate groundwork, we’ve been growing our research capacity and scope in order to direct substantially more funding to the most impactful opportunities we can find.
Summary
GiveWell's senior research staff are the key decision makers for hundreds of millions of dollars in grantmaking, and we think growing that team is one of the most important things we can do to increase our impact. We're seeking one or more Senior Recruiters to help us do that.
Finding senior research staff is a hard problem for a couple reasons:
The talent pool for GiveWell researchers basically doesn’t exist as a defined group. You can’t go to one type of program, industry, or a few obvious competitors to build a reliable pipeline. The people who succeed here come from a wide range of backgrounds — economics PhDs, policy analysts, management consultants, medical doctors, neuroscientists, primate biologists, etc. — and the roles don't have clean analogues elsewhere. What they share is a set of hard-to-measure cognitive skills and quantitative fluency that doesn’t show up reliably on resumes.
Our process is very competitive. The offer rate for senior research roles is less than one in a thousand.
We want you to figure out where to find strong candidates, improve our assessment process, and do the hands-on work of sourcing, screening, and closing offers. You'll work very closely with our research leadership team. We're most excited about finding someone who helps us make better decisions about finding great talent — and hire them faster.
The role
You'd work closely with our manager, research recruiting and the team to own recruiting for some of our
Researcher
, Program Officer,
Senior Researcher
, and Senior Program Officer roles. A few problems we’ll want you to think about:
After candidates apply, is our assessment process effective?
Our offer rate for senior roles is below 0.1%. That might mean we’re extremely selective. It might also mean we’re losing good candidates somewhere in the funnel. You’ll dig into our data and find answers (How well do early screening scores predict work trial performance? What are the most common rejection reasons, and are they signal or noise? How did past hires actually turn out?). You’ll help us develop good heuristics about what to do in situations when candidates’ signals are mixed.
Where do we even find good candidates?
The ideal GiveWell researcher doesn’t come from one degree program, industry, or competitor. You’ll think about where to look and go after them. And you’ll continually develop new pipelines with creative methods (running structured referral conversations with our researchers, scouring conference guest lists, using sourcing tools creatively, or maybe vibe-coding your own).
How can we use data to make better decisions?
Right now, we don’t have great visibility into which sourcing channels, process changes, or pipeline stages are driving results. You’ll track data, run analyses, and help us make evidence-based decisions about where to put effort. In some cases, you might find out that we don’t have the right data architecture to answer important questions, so you’ll build it.
What are ways our hiring process could be much better?
This is harder to describe because it covers ~every strategic and tactical question we face. We want you to be thinking about all of it. Things like: Are we overweighting particular qualities and losing promising candidates without noticing? How could we run experiments on our hiring processes (randomization, A/B testing, sourcing campaigns) that actually give us useful information?
You’ll also do a fair amount of bread-and-butter recruiting work: screening applications, writing outreach emails, and interviewing candidates. We think that sort of work will keep you close to the data and help you develop strong pattern recognition.
About you
You’re excited about GiveWell's mission and methods.
You think GiveWell is doing something special, not just generically “doing good.” You can explain what makes GiveWell different.
You’re careful and truth-seeking with your beliefs.
For example, if a hiring manager says we need to find “scrappy” people, you’re likely to ask “Why do you believe that?” or “What does scrappy mean?” instead of uncritically agreeing. You’re quick to update your beliefs by picking up new information and asking sharper questions. You can probably tell us about times when you’ve changed your mind about important things.
You're unusually curious and analytical.
When you get invested in a question, you keep trying to find the right answer after many other people would have stopped. You ground your beliefs in data when possible and hedge appropriately when you’re not confident.
You have very high standards.
We have a high competence bar for our research team, and you’ll need to uphold that and own your decisions about applications that do and don’t meet our bar.
You’re entrepreneurial and high agency.
You figure things out. You have a history of solving problems. You’re very resourceful. You’re more likely to make the mistake of moving too fast than moving too slow. You'd rather try something imperfect and learn from it than wait for a perfect plan.
You're direct.
You say what you actually think even when it's uncomfortable.
You’re good at communicating in writing.
You're concise, clear, and you don't hide behind jargon. You probably enjoy an effective memo.
If you think people who know you well would agree that many of the qualities above describe you, we’d like you to apply.
Qualifications
We care much more about the qualities described above than any specific background. That said, some things that might help:
Experience in recruiting, talent operations, research operations, or a generalist role at a mission-driven organization
Comfort with data — spreadsheets and basic quantitative analysis
Strong written communication
Experience working closely with executive-level leadership
Familiarity with global health, development economics, effective altruism, or adjacent fields is a plus but not required
Recruiting experience is welcome but not required. Some of the best people in comparable roles at peer organizations came in without it. And we’ll support you if you want to move on to other things at GiveWell after making progress on our research recruiting. There's always a place here for generalists who are good at solving hard problems, and we have a history of developing high performers into different roles across our org.
Key Questions
What are some of the reasons I might not like this role?
GiveWell has a unique approach to hiring,
and it’s possible that you’ll dislike it. For example, we tend to lean heavily into work trials and finding empirical evidence about the candidates we hire. We are rigorous in how we evaluate candidates, and hold really high standards, which can lead to longer hiring rounds with more steps than what is typical elsewhere. We’re extremely quality focused and would rather hold out for the right candidate than settle on someone who’s “mostly right.”
You’ll need to deeply understand our work and culture to succeed.
We want you to be able to speak with candidates about our work and what makes GiveWell special, and provide useful input to hiring managers when we’re developing assessments and evaluating candidates.
You will be expected to hunt, not just farm.
While we receive a high volume of inbound applicants, we are looking for recruiters who effectively source and attract candidates, not just wait for them to trickle in.
You’ll be collaborating with leaders with high expectations.
We’re a founder-led, performance-driven culture and you’ll be collaborating with our executive team regularly in this role. Strong partnerships will depend on you building trust, leading with curiosity, and reliably delivering results.
You’ll be running hiring rounds from start to finish.
We consider this a full-lifecycle role, which means you should be comfortable with things like scheduling, building out roles in Greenhouse, and day-to-day coordination with candidates. While you might have support from more junior colleagues, you’ll be expected to capably manage your own pipelines.
What does growth look like in this role?
GiveWell’s growing, and you’re going to help shape that. Your growth will be tied directly to the impact created by the people you help hire. Beyond day-to-day recruiting, you’ll have the opportunity to work on more strategic projects, including shaping our overall hiring approach and improving our employer brand. In this role you’ll also have significant exposure to executive leadership and many corners of our business. The talent acquisition team is doubling in 2026, which means there are clear opportunities for mentorship and potentially growing into a team leader.
What does this interview process entail?
We'll use a combination of interviews, written exercises, and work trials to assess the qualities described above. Past versions have looked like:
Simulating a hiring manager intake conversation
Walking through a sourcing strategy for a hard-to-fill role
Reviewing a job description or process and offering a critique
Writing a candidate outreach email or internal communication
We'll share more specific details if we invite you to move forward, but our current plan is:
Screen with a member of the Talent Acquisition team
Career history interview with the Manager, Talent Acquisition
Work trial, which will include live conversations and written work
Values interview with VP, People
Final conversation with Manager, Talent Acquisition
References
Team structure
This role sits on GiveWell's People team and reports to our Manager of Talent Acquisition. Day-to-day, you'd work in close partnership with our Research Program Director, who owns senior research hiring decisions and is part of our Research Leadership Team. You'd collaborate regularly with other members of the People and Research teams on sourcing and candidate evaluation.
We'll likely also want you to attend research team meetings, develop 1:1 relationships with research team members, and potentially join research team-building retreats. We’ll be interested in ~any kind of team embedding that helps you build useful context.
The details
Compensation:
NYC or the San Francisco Bay Area: $149,600
All other U.S. locations: $136,000
Benefits:
Our
benefits
include:
Fully funded health, dental, vision, and life insurance (we cover 100% of premiums within the US for you and any dependents)
Four weeks of paid time off per year
16 weeks of fully paid parental leave
Ergonomic home workstations or coworking space memberships
Automatic contribution equal to 5% of your gross salary into your 403(b) retirement plan (for U.S. based staff)
Location:
You must be based in the United States and can choose to work remotely, hybrid or in person at one of our offices located in Brooklyn, NY or Oakland, CA.
Flexibility:
We support and encourage flexible working, including flexible hours, working remotely, and working from the office when you choose. The majority of our staff, including senior management, work flexibly in one way or another.
Travel:
GiveWell hosts “Visit Weeks” twice a year in our Oakland, California, office and up to two annual departmental retreats. Attending these in-person opportunities will be important to fulfilling the goals of this role. Occasional additional travel may be helpful for conferences or recruiting events.
Visa sponsorship:
We are not currently able to sponsor visas for this role.
Start date:
We’d like a candidate to start as soon as possible after receiving an offer, but we’ll offer flexibility for candidates whose personal or professional circumstances require them to moderately delay their start date.
We don't want to miss candidates who could do great things at GiveWell. If you're on the fence about applying because you meet some but not 100% of our preferred qualifications, we encourage you to apply anyway.
GiveWell is an Equal Employment Opportunity employer by choice. We value our team's diversity in all respects and desire to maintain a work environment free of harassment or discrimination. If you need assistance or an accommodation due to a disability, contact us at careers@givewell.org.
About GiveWell
GiveWell is dedicated to finding and evaluating highly cost-effective global health and development opportunities, and we publish all the work, reasoning, and uncertainties behind our funding decisions. Our
giving funds
enable donors to contribute to the most impactful and cost-effective programs our researchers identify.
GiveWell is one of the world’s largest private funders of global development efforts. Trusted annually by tens of thousands of donors, GiveWell searches for highly cost-effective programs that save or improve lives the most. Since 2007, more than 150,000 donors have given over $2.6 billion through GiveWell to the most promising programs its research has identified, which we estimate will save more than
340,000 lives
.
GiveWell is most well-known for recommending a small number of
Top Charities
, which currently support
seasonal malaria chemoprevention
,
insecticide-treated nets
,
vaccine incentivization
, and
vitamin A supplementation
. However, most of our research capacity and grantmaking is devoted to
cost-effective opportunities outside of those programs
.
GiveWell
grants
have:
Helped governments
navigate changes to the funding landscape
and implement high-impact health programs, like
HIV/syphilis screening and treatment
for pregnant people in Zambia and Cameroon.
Sought to scope and scale promising interventions that don’t have clear existing implementers. We are supporting the
Clinton Health Access Initiative’s Incubator
to identify potentially cost-effective interventions and create programs that we would be excited to support in the future. For example, we
funded a program
to prevent tuberculosis among young children in Uttar Pradesh and Bihar, India, that we co-designed with CHAI through the Incubator program.
Provided funding to ensure that programs that recently faced foreign aid funding cuts could continue, like
healthcare support and malnutrition treatment
in northern Cameroon.
Funded program delivery alongside strengthened monitoring and evaluation, as in our grants to support
treatment of clubfoot
and to
evaluate the program
.
Tested our
assumptions and refined our understanding
through further research and data collection, including
improved estimates of disease burden
and studies on
the effect of water chlorination on mortality
and
the impact of a tree-planting program on farmers’ income
.
We make our reasoning public and transparent so others can challenge it (sometimes we even
pay people to point out our errors
). We go to unusual lengths to check our assumptions and assess our impact, including
funding research
to address our uncertainties and gathering
independent monitoring and evaluation data
about the programs we support. We
change
our minds when the evidence demands it. For more about GiveWell, listen to Ezra Klein’s
recent interview
with GiveWell’s co-founder and CEO Elie Hassenfeld.
Additional information
We don’t want to miss candidates that could do great things at GiveWell. Practically, that means a GiveWell staff member reviews every application carefully, considering the whole picture of your background and potential. If you’re on the fence about applying because you meet some but not 100% of our preferred qualifications (some studies suggest this hesitation is especially common for women and people of color), we encourage you to apply anyway.
GiveWell is an Equal Employment Opportunity employer by choice. At minimum, this means that we comply with all federal, state, and local EEO and employment laws. Beyond the requirements of those laws, we value our team’s diversity in all respects, and we desire to maintain a work environment free of harassment or discrimination—we want our team members to thrive at GiveWell. If you need assistance or an accommodation due to a disability, contact us at careers@givewell.org. We will consider employment for qualified applicants with arrest and conviction records.
By submitting an application, you acknowledge that you have read and consent to GiveWell's
Privacy Statement for Applicants
. By completing an application exercise, you acknowledge and assent to
GiveWell's Work Trial Policy
.
Location: New York City, NY | Seattle, WA; 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
The Growth team's job is to keep Anthropic on the exponential by getting more people and companies using and paying for Claude. Growth Data Scientists partner closely with growth product managers, engineers and marketers on experimentation, opportunity sizing, strategic analysis, metrics and personalization.
We're hiring for two focus areas within this posting. Tell us in your application which one fits you best, or if you're excited about both:
Growth generalist:
a strong generalist across marketing and product who drives experimentation, opportunity sizing, marketing measurement and strategic analysis.
Personalization:
building and evaluating the models and experiments that pick the right message, offer or product experience for each user, across lifecycle marketing, onboarding and in-product experiences.
We work in an AI-native way. Much of our analysis, reporting and experiment work is done with Claude as a collaborator, and we expect you to push that further.
Responsibilities
Across both focus areas, you will:
Design and analyze A/B tests and quasi-experiments across activation, retention and monetization, and turn the results into a clear call on what to ship
Define systems of metrics and guardrails that tie short-term wins to long-term value
Present analyses and recommendations to technical and non-technical audiences, leading with the decision and keeping the numbers in support
In the Growth generalist focus, you will also:
Size opportunities and make the case for what Growth should work on next
Measure the incrementality of paid and lifecycle marketing with holdouts, geo experiments and other causal methods, and turn the results into budget and channel recommendations
Tie acquisition and lifecycle programs to long-term value (LTV, CAC and payback)
In the Personalization focus, you will also:
Build and ship targeting and personalization models that decide which users get which message, offer or experience, working closely with growth product managers and engineers
Design the tests that evaluate and iterate on our personalization strategy, including holdouts, bandits and off-policy estimates where A/B tests aren't practical
You may be a good fit if you have
7+ years of experience in data science, with significant time on growth, marketing, lifecycle or personalization problems
Deep expertise in experimental design and causal inference, including A/B testing at scale, holdouts and quasi-experimental methods when randomization isn't available
Experience analyzing growth funnels: acquisition, activation, retention and monetization
Proficiency with Python and SQL
Clear written communication, and a track record of recommendations that changed priorities or what a team built
A bias for action and comfort in ambiguous, fast-moving environments
An interest in Anthropic's mission of building safe and beneficial AI
For the Growth generalist focus, we're also looking for:
Experience measuring marketing: incrementality testing, holdouts or geo experiments, and LTV/CAC for paid or lifecycle programs
For the Personalization focus, we're also looking for:
Hands-on experience building and shipping machine learning models that drive user-facing decisions (targeting, ranking, recommendation or personalization)
Strong candidates may also have
Experience defining activation metrics and lifecycle measurement for a product-led business
Experience with experimentation platforms and meta-analysis across experiment portfolios
Background at consumption-based, multi-product companies serving both consumers and enterprises
Experience using LLMs or coding agents in your own analytical workflow
Experience with marketing mix modeling, geo experiments or synthetic controls
Experience running contextual bandits, uplift models or similar decision systems in production
Experience with lifecycle or CRM personalization (email, push, in-product messaging) and its measurement problems, such as global holdouts and interference between campaigns
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:
$285,000
—
$380,000 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.
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: Europe; United Kingdom
Workplace: remote
Help Us Build The Future of Travel
At Airalo, we're making it easier for people to stay connected wherever they travel. As the world's first eSIM store, we help millions of travelers access affordable mobile data in 200+ countries and regions around the world.
Today, we're a team of 400+ people across 60+ countries, building a product used by travelers every day. We've grown quickly, but we've worked hard to keep what matters: trust, ownership, and the freedom for people to do great work without unnecessary layers or bureaucracy.
We're fully remote by design, genuinely global, and united by a shared mission to make travel simpler for everyone.
Your Next Destination
Location: Remote.
Contract: Full-time, permanent.
Benefits: Learn more about our benefits here in this link - https://airalo-public.notion.site/Benefits-25396a97ffca81fb9bc1f0be479f1be3?pvs=74
Languages: English is our main working language day to day, so you'll need to be comfortable communicating in it both in meetings and async.
As our Senior HLR/HSS Specialist, you are the guardian of our subscriber data and the architect of our roaming efficiency. You won't just manage databases; you will own the life-cycle of HSS/HLR templates that allow our MVNO to scale globally. Your expertise in Profile & Template Engineering is critical to our success in maximising COGS and margin through sophisticated Steering of Roaming (SoR) and Sponsor Roaming integrations.
Your main responsibilities will be:
Design and maintain HLR/HSS subscriber templates, ensuring precise configuration of roaming profiles, APN/PDN contexts, and Camel/Diameter triggers.
Collaborate with roaming partners to implement and refine SoR logic within the HLR/HSS, ensuring subscribers attach to preferred networks based on cost and quality.
Lead the technical deployment of Full MVNO profiles, managing specific QoS profiles and addressing (GTs, APNs) required for independent network operations.
Act as the primary technical point of contact for our System Integrators, auditing HLR/HSS configurations, reviewing change requests, and ensuring alignment with the 2026 roadmap.
Define and monitor critical HLR/HSS KPIs, including Location Update (LU) success rates and Diameter Transaction per Second (TPS) limits.
What you’ll need:
Deep technical mastery of MAP (SS7) and Diameter (S6a/S13) protocols; additional experience with VoLTE Roaming (S8HR) or SMSoIP rollout is a significant advantage.
Subscriber Mapping: Extensive experience with HLR, HSS, and UDM (User Data Management) in a multi-tenant or MVNO/E environment.
Practical experience with Multi-IMSI applets and the logic required to manage roaming through Sponsor IMSIs.
A solid understanding of GSMA IREG (IR series); familiarity with TADIG (TD series) and how HSS/HLR templates impact billing/settlement is preferred.
A "detective" mindset for troubleshooting complex signalling failures using tools like Wireshark or roaming-specific platforms (e.g., Mobileum, Roamware, or SIGOS).
Proven ability to manage technical projects with external System Integrators and roaming partners under tight deadlines.
Bonus Points
Experience with 5G Unified Data Management (UDM) and Authentication Server Functions (AUSF).
Knowledge of Cloud Native Network Functions (CNF) and containerised core deployments.
Scripting skills (Python/Bash) for automating provisioning audits or log parsing.
If you are interested in this position, please apply via the link.
Why People Join Us
We started Airalo to make staying connected effortless, wherever you are in the world. Today, millions of travelers rely on our eSIMs, and many of the people building the product were customers first.
Our team spans 60+ countries, united by a shared belief that great work happens when people are trusted to own what they do. There's trust to own what you do, space to focus without constant layers of process, and a clear sense of what you're responsible for from day one.
As Airalo continues to grow, so do the opportunities to learn, take on new challenges, and make a real impact - from anywhere in the world.
Before You Hit Apply
By applying, you acknowledge and agree that, in case of successful application, Airalo may request to run background checks as a condition for entering into an agreement with you. Rest assured that these checks will only occur upon your prior consent and at the end of the selection process, and will be strictly limited to what is allowed under the laws that are applicable to you. All data that you share or that we collect in connection with such checks will be processed in accordance with our Privacy Policy, available here: www.airalo.com/more-info/privacy-policy?srsltid=AfmBOooBT0rXAj1FaNelZ3VfN0wvhwzvAoxdtHnOKSVETpiSjiXVuycy
We sincerely thank all applicants in advance for submitting their interest in this opportunity. Airalo is an equal-opportunity employer and values diversity, equity & inclusion. We do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We are committed to providing reasonable accommodations upon request for individuals with disabilities throughout our job interview process.
At Airalo, we believe in roaming-free recruitment. Just as we provide clear connectivity for travelers, we provide clear salary ranges for our candidates. 🌍
This role is remote and open to candidates across our supported locations in Europe. The range below reflects the full salary range for this role across the countries where it's available:
📍 UK: £75000 – £110000
📍 Ireland: €64,800 – €93,150
📍 Western/Northern Europe (Germany, France, Austria): €54,800 – €152,950
📍 Southern Europe (Spain, Portugal, Italy, Greece): €44,000 – €96,600
📍 Central & Eastern Europe (Czechia, Hungary): €52,296 – €101,568
📍 South-Eastern Europe / Balkans (Romania, Serbia, Bulgaria): €50,000 – €103,235
Your Home Destination: 🛫 Local market rates and cost of living vary. Your specific range within this band depends on where you're based. We'll walk through your range together on your first call with our Talent team so we're aligned for takeoff! 🎒✨
Location: Singapore, Singapore
OKX will be prioritising applicants who have a current right to work in Singapore, and do not require OKX's sponsorship of a visa.
Who We Are
At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom.
OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves.
Across our multiple offices globally, we are united by our core principles:
We Before Me
,
Do the Right Thing
, and
Get Things Done
. These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er.
About the Opportunity
The Chinese Growth Center drives growth across Chinese-speaking markets. This role sits close to the center of decision-making, supporting the Head of CGC directly on high-priority cross-functional initiatives.
The immediate focus is the practical application of AI in business operations — identifying where AI can drive real productivity gains, and making it actually happen. Beyond the AI workstream, this role will evolve to cover other strategic initiatives over time.
This is a role for someone who takes ownership end-to-end. You will be expected to get your hands dirty, move fast, and deliver — not just coordinate.
What You’ll Be Doing
Drive the full lifecycle of AI initiatives hands-on — from scoping and tool research to solution design, testing, and rollout
Work across teams to embed AI tools into real business workflows and track measurable outcomes
Identify blockers early and solve them proactively, without waiting to be directed
Stay current on emerging AI tools and synthesize findings into repeatable best practices for the team
Own progress tracking and delivery management for key initiatives, keeping milestones on track and quality high
Build lightweight dashboards and reporting to keep the Head of CGC informed and decisions moving
Pick up new initiatives quickly, build context fast, and deliver in ambiguous or fast-changing situations
Surface collaboration friction across teams and drive alignment where needed
What We Look For In You
Bachelor's degree or above
Deep AI User, with practical experience using AI tools (e.g. ChatGPT, Claude, Cursor, Midjourney) — able to speak to specific use cases and outcomes
Strong ownership and hands-on ability to work steadily under pressure, managing multiple workstreams in parallel and still deliver quality
Clear communicator who is able to collaborate and convey work process well to various stakeholders
Proficiency in English as a working language, and fluent in Mandarin in order to service Mandarin-speaking clients (as required in the role)
Nice to Haves
Experience in internet, content, e-commerce, or growth-related roles
Background in cross-functional project management or initiative delivery
Hands-on with Prompt Engineering or workflow automation tools (Make, Zapier, n8n)
Familiarity with Chinese-speaking market dynamics and user behavior
Perks &
Benefits
Competitive total compensation package
L&D programs and Education subsidy for employees' growth and development
Various team building programs and company events
Wellness and meal allowances
Comprehensive healthcare schemes for employees and dependants
More that we love to tell you along the process!
Notice:
All official
OKX
vacancies are published on this website.
While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated.
If in doubt, please apply directly through our official careers website.
Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to
OKX
's
Candidate Privacy Notice
.
Location: Washington, DC
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
As a Federal Partners Account Executive at Anthropic, you'll drive revenue by selling our safe, frontier AI solutions directly to Systems Integrators (SI) and Independent Software Vendors (ISV) in the public sector space. You'll focus on selling directly to partners to ensure Anthropic's AI capabilities are delivered within their own solutions and service offerings. Working closely with GTM, product, and marketing teams, you'll help these partners understand and implement our technology while driving significant revenue growth.
Responsibilities
Win new business and drive revenue for Anthropic by directly
selling to
Systems Integrators and ISVs in the public sector space, owning the full sales cycle from prospecting through close
Identify net-new revenue by selling to SIs with prime contracts, helping them integrate AI into their technology stack and consulting practices to differentiate their offerings, accelerate delivery, and win more competitive bids
Navigate complex technical sales conversations with partners' engineering and product teams
Work with partners' technical teams to ensure successful implementation, adoption and deployment of Anthropic's AI capabilities into their solutions
Coordinate with cloud providers (AWS, GCP) to align technical and commercial aspects of deals
Build deep relationships with key decision makers within partner organizations
Provide market intelligence and partner feedback to product teams to influence our roadmap and feature development
Create and maintain sales playbooks specific to SI and ISV sales motions
Track and forecast sales pipeline specific to the partner segment
You may be a good fit if you have
7+ years of enterprise sales experience selling directly to Systems Integrators and ISVs
Security clearances preferred
Strong track record of closing complex technical sales to partner organizations
Deep understanding of SI and ISV business models, buying processes, and technology evaluation criteria
Experience navigating technical requirements and security standards specific to public sector implementations
Proven ability to exceed revenue targets in partner-focused sales roles
Strong technical acumen and ability to engage with partners' engineering teams
Experience coordinating with cloud providers in complex deal scenarios
Excellent communication skills and ability to present to both technical and business audiences
Strategic thinking combined with hands-on sales execution capabilities
Understanding of public sector procurement processes and how partners operate within them
A passion for safe and ethical AI development, with the ability to articulate its technical value to partner organizations
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:
$380,000
—
$450,000 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.
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: Hong Kong, Hong Kong SAR
Who We Are
At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom.
OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves.
Across our multiple offices globally, we are united by our core principles:
We Before Me
,
Do the Right Thing
, and
Get Things Done
. These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er.
OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more.
About the Opportunity
You will join our Data & Analytics team, which owns two core data domains end to end:
• Public market data — trades, quotes, funding, and full order-book data continuously captured from global crypto exchanges at petabyte scale.
• Proprietary trading data — orders, fills, positions, balances, and settlement activity streamed from internal desks and systems.
We are one team rather than separate engineering and analytics functions. The same people build pipelines, model data, validate its correctness, and answer the business questions it supports. You will see data problems through end to end: from the exchange connection or internal source through to the analysis produced from it.
This is an exciting time to join. We are rebuilding the platform on ClickHouse, Apache Iceberg, and Kafka while continuing to support live trading. The work combines substantial platform design with hands-on ownership of business-critical data.
What You’ll Be Doing
• Build and operate pipelines that bring market and trading data into our platform, including ingestion, parsing, normalization, validation, and storage.
• Build and extend Python- and SQL-based datasets and data models used by trading desks, quants, research, and analytics teams.
• Own data correctness through source reconciliation, data-quality and completeness checks, gap and duplicate detection, backfills, and replays.
• Investigate discrepancies end to end. Trace unexpected numbers through the pipeline to the source and fix root causes rather than symptoms.
• Onboard new exchanges, venues, products, and internal data sources, addressing real-world external-feed behaviour including authentication, rate limits, disconnects, missing history, and schema changes.
• Support data users through query support, data access, APIs, and client libraries.
• Operate what you build, including monitoring, alerting, and incident response for owned pipelines and datasets.
• Contribute to the migration toward ClickHouse, Iceberg, Kafka, and Kubernetes by running new and legacy paths in parallel, reconciling results, and cutting over safely.
• Use AI coding assistants and LLM tooling to improve development, debugging, and data investigation, while applying sound judgement and independently validating outputs.
• Depending on team needs and your strengths, develop deeper expertise in either real-time platform and pipeline engineering or proprietary trading-data datasets and analysis. Both are core to the team.
What We Look For In You
• Bachelor’s degree or above in Computer Science, Engineering, or a related quantitative field.
• 3–5 years of hands-on experience in data engineering, software engineering, or analytics engineering.
• Strong production-quality programming skills in Java, Python, or both.
• Sound data-modelling judgement. You can design schemas that scale with evolving data and use cases, including keys, granularity, partitioning, and schema evolution.
• Ability to reason about query behaviour and performance over large datasets.
• Demonstrated production ownership. You have designed, delivered, and operated a pipeline, service, or dataset that other teams depend on, including its reliability, monitoring, and failure modes.
• Rigour in data correctness. You validate outputs before they reach users, cross-check against independent sources where possible, and treat silent data errors as serious defects.
• Structured problem-solving under uncertainty. You can decompose ambiguous data discrepancies, form and test hypotheses, and reach defensible conclusions while clearly stating assumptions and outstanding verification needs.
• Strong initiative and persistence. You identify gaps, act without waiting for direction, work through difficult problems, and get up to speed quickly on unfamiliar systems and domains.
• Strong communication skills in both Chinese and English.
Nice to Have
• Experience in crypto, market data, trading systems, or trading operations.
• Strong Java systems-engineering capability, including JVM and concurrency fundamentals, profiling, performance tuning, and reliable high-throughput services.
• Strong Python data-engineering capability, including pandas, Polars, PyArrow, or Spark; experience with vectorisation, memory behaviour, and processing datasets larger than memory.
• Experience delivering tested, packaged Python tooling that other teams depend on.
• Depth in trading-data analysis, such as reconstructing positions from fills, balances from transfers, or PnL across settlement or expiry boundaries.
• Experience reconciling derived trading data against authoritative sources and resolving discrepancies between systems.
• Experience with real-time streaming pipelines, ideally Kafka, including ordering, gap detection, checkpoints, restart recovery, and replay.
• Hands-on experience with time-series or analytical databases, including partitioning, retention, and query-performance tuning at scale.
• Exposure to Apache Iceberg, Parquet, Spark, gRPC, Kubernetes, or cloud data infrastructure.
• Experience building connectors to external REST or WebSocket APIs.
Working Model
• Hong Kong, onsite (in-office).
Perks & Benefits
• Competitive total compensation package.
• Learning and development programs and education subsidy for employees’ growth and development.
• Various team-building programs and company events.
• Wellness and meal allowances.
• Comprehensive healthcare schemes for employees and dependents.
• More that we would love to tell you about during the process.
Please note that Hong Kong is a group-level service hub, and
OKX
does not carry on a business of operating a virtual asset trading platform in Hong Kong.
Notice:
All official
OKX
vacancies are published on this website.
While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated.
If in doubt, please apply directly through our official careers website.
Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to
OKX
's
Candidate Privacy Notice
.
Location: New York
Workplace: Hybrid
ABOUT BASETEN
Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products.
WHO WE ARE
Enterprise at Baseten means the companies with the most to gain from AI and the most complexity in getting there: large digital natives running products at massive scale, and category leaders in software, financial services, healthcare, and beyond. They have the data, the distribution, and the budget. Most are still deciding what to build, what to run themselves, and what it should cost.
That makes this a consultative sale. You'll spend as much time helping a VP of Engineering pressure-test their AI strategy as you will selling against an alternative, mapping use cases, framing build-vs-buy, and giving clear recommendations grounded in what you've seen work at the frontier. Then you'll do the enterprise work: multithreading across a buying committee, navigating security and procurement, and turning a first workload into an eight-figure relationship.
You'll work alongside our founders, forward-deployed engineers, and GTM leadership, in a seat where the playbook is still being written.
RESPONSIBILITIES
- Own a revenue target end to end, from prospecting and outbounding through closing Tier 1 accounts in your verticals
- Act as a strategic advisor on AI adoption: identify use cases, shape architecture decisions, and lead with clear, opinionated recommendations
- Multithread across large organizations, from the engineers running evals to the executives funding the program to security, legal, and procurement
- Win lighthouse customers that become references for their entire industry
- Partner with forward-deployed engineering on technical evaluations, POCs, and architecture reviews
- Feed signal back to product and engineering. What enterprises need next is a roadmap input we don't get anywhere else
REQUIREMENTS
- 8+ years of enterprise B2B sales experience in technology, ideally infrastructure, API/platform, or developer tooling
- A track record of closing seven- and eight-figure deals by navigating multi-stakeholder buying committees and long, complex cycles
- Demonstrated ability to run a consultative sale. You've helped customers define a strategy, not just evaluate a product
- Strong technical acumen: you can hold your own on model serving, GPU infrastructure, latency, and API architecture
- Experience selling into large digital natives or regulated industries (financial services, healthcare/life sciences, insurance, government)
- Excellent communication and comfort with high autonomy in a fast-moving environment
NICE TO HAVE
- Direct experience selling AI/ML infrastructure, cloud compute, or model deployment platforms
BENEFITS
- Competitive compensation, including meaningful equity
- (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents
- Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)
- Paid parental leave
- Fertility and family-building stipend through Carrot
- (U.S. only) Company-facilitated 401(k)
- Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.
Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.
At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.
We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).
Location: Germany
About Us
Our client is a leading systems integrator and global professional services firm driven to simplify and maximize the value of their clients’ information. Founded in 2011, they provides complementary services for many digital initiatives, including MDM and PIM Strategy and Implementation, Data Governance and Analytics, Content Management, Data Integration, Enterprise Hosting, and Operational Services that help large enterprises in the retail, consumer goods, manufacturing, financial and healthcare sectors simplify and maximize the value of their information. A 100% employee-owned company, it has been on the Inc. 5000, recognized by IDG’s Computerworld as one of the Best Places to Work in IT, as a Wonderful Workplace for Young Professionals and as a “Best Place to Work” by Inc. Magazine and Business First. Their global headquarters is in Dublin, Ohio. The EMEA headquarters and Global Development Center is in Valencia, Spain. Additional offices are located in Germany and India.
Our client is seeking a
Solutions Architect
to join a dynamic consulting team. This remote role is pivotal in designing, architecting, and delivering high-quality data management solutions for our clients.
As a Solutions Architect, you will lead client engagements, guiding the discovery, design, and implementation of scalable solutions. This position requires a blend of technical expertise and strong client-facing skills to ensure solutions align with business needs and deliver strategic value.
They’re looking for someone with hands-on experience in
Master Data Management (MDM)
,
Data Quality
, and
Data Governance
, both from architectural and functional perspectives.
Key Responsibilities:
Advisory
Engage with key stakeholders to gather requirements and understand strategic objectives.
Educate clients on platform capabilities, share best practices, and support decision-making.
Lead discovery and strategy workshops for business and technical audiences.
Align business requirements with technical capabilities and provide actionable recommendations.
Develop solution roadmaps, business benefit analyses, and ROI assessments.
Communicate technical concepts effectively across all levels of the client organization.
Solution Design and Documentation
Design solutions, evaluate tools, and identify gaps between client needs and technology.
Document solution architecture including data integration, cleansing, quality, models, UI/workflows, and APIs.
Development and configuration leadership
Oversee development, configuration, testing, and deployment activities.
Pre-Sales Support
Support sales by assessing client IT landscapes, gathering requirements, and proposing solutions.
Prepare presentations, proofs of concept, and visual materials for business development.
Contribute to proposals and statements of work by defining scope, approach, and effort.
Requirements
Languages: Fluent in German and English.
Must be located in Germany, Switzerland or Netherlands.
5+ years of experience implementing data management solutions or ERP/CRM data modules.
Experience with MDM technologies such as:
Informatica MDM
Stibo STEP
Reltio
SAP MDG
TIBCO/Orchestra
Lead developer or functional consultant on at least 3 enterprise platform implementations.
Proven experience in:
Leading discovery/design workshops and advisory meetings.
Conducting pre-sales presentations.
Drafting proposals and statements of work.
Designing data models, business process flows, and data quality rules.
Leading small consulting teams.
Planning implementation projects, including effort estimation, milestone setting, and release scheduling.
Driving documentation standards, issue tracking, and code quality.
Nice-to-have Skills
Experience with customer and product/material data domains.
Familiarity with data platforms and analytics tools (e.g., Databricks, Snowflake).
Background in software development and solution customization.
Knowledge of data governance frameworks.
Experience with SAP ERP integration/migration (ECC and S/4HANA).
Industry-specific use case expertise.
Benefits
Fully remote position with occasional travel to client sites.
Work with an international team and global enterprise clients.
Annual performance-based bonus.
San Francisco, CA
Не хотите искать каждый день?
Настройте подбор один раз, и подходящие вакансии будут сами приходить в Telegram.
Настройте подбор, и подходящие вакансии будут приходить в Telegram.