Location: Toronto, Ontario
Workplace: Hybrid
Artificial Intelligence. Actual Impact.
At Docebo, we’re using AI to change how people learn at work—and we mean actually change it. We’re an AI-powered learning platform that helps organizations create, deliver, and manage training all in one place. But our real mission goes deeper: we help teams move faster, work smarter, and focus on the work that truly matters. Our platform is built with intelligent, time-saving tools that personalize learning, eliminate busywork, and turn training from a checkbox into a superpower. The result? Better experiences for learners and real results for businesses.
We’re shaping the future of learning with a team that isn’t afraid to challenge the status quo. If you're excited by the idea of using AI to make work-life better for real people–you’ll feel right at home here. And it’s not just what we build, it’s how we show up. At Docebo, our values aren’t just posters on the wall—they guide how we work every day. We call it the Docebo Heart: trust by default, assume positive intent, and create space for different perspectives to thrive.
So… what are you waiting for? Join 900+ Docebians around the world and help us reinvent the way people learn, because learning never stops.
🚀 THE ADVENTURE AHEAD
As our Technical Product Manager for Platform & Integrations, you are the architect of Docebo’s extensibility, transforming our ecosystem into a developer’s playground. Your mission is to bridge the gap between complex engineering infrastructure and tangible business value, ensuring our REST APIs, webhooks, and Connect tools are world-class. By scanning the horizon for emerging standards and defining opinionated interoperability patterns, you will empower global enterprises to build seamless, high-impact integrations that define the future of learning technology.
🛠️ THE DAY-TO-DAY
- API and Platform Strategy: Own Docebo’s external API roadmap, from schema design principles and versioning policies to championing patterns that ensure long-term, scalable extensibility.
- Connect and Integration Tooling: Lead the Docebo Connect (Workato IPaaS OEM) product vision by managing the low-code workflow builder and blueprint library, while evaluating high-value partner contribution programs.
- Developer Experience: Obsess over the end-to-end developer journey, tracking DX metrics and conducting deep-dive research to eliminate friction before it ever turns into churn.
- Measure the Impact: Define the "North Star" for platform success by building dashboards that track API adoption, integration attach rates, and direct revenue contribution for executive stakeholders.
- Navigate the Tech: Conduct high-level technical research on iPaaS and integration standards to make "build-buy-partner" recommendations that keep us ahead of the competition.
- Field Enablement and GTM: Partner with Marketing and Sales to translate technical capabilities into winning GTM strategies, acting as the technical authority in high-stakes enterprise deal cycles.
- Govern the Ecosystem: Establish the gold standard for how partners build on Docebo, publishing comprehensive integration guides that ensure security, reliability, and commercial viability.
⚡ YOUR SUPERPOWERS
- Speak Fluent API: You can design a REST API and write an OpenAPI spec in your sleep, confidently debating webhook reliability and event-driven sync with our engineering leads.
- Decode the Codebase: You are comfortable diving into production code to trace API calls or review pull requests, understanding exactly how implementation choices impact the product's future.
- Think Like a Platform: You possess strong, well-reasoned opinions on what "good" design looks like and aren't afraid to defend your vision to both developers and the C-suite.
- Data-Driven Intuition: You define success metrics before a single line of code is written, using platform health data to influence high-level prioritization and investment.
- Developer Empathy: Having built with APIs yourself, you view documentation gaps as personal challenges and treat developer friction points as high-priority product bugs.
- Proven Experience: You bring 4+ years of B2B SaaS Product Management experience, specifically focused on APIs, SDKs, or iPaaS, ideally with a background in software engineering or solutions architecture.
- Integration Expertise: You have a deep mastery of OAuth 2.0, SAML, SCIM, and middleware categories, with a proven track record of connecting platform health to commercial outcomes.
OUR HYBRID WORK PHILOSOPHY 🤝
Great work can happen anywhere but coming together helps us go further. Our team spends three days a week in the office (Tuesday-Thursday) to collaborate, solve problems, and learn from each other. With flexibility the rest of the week, it’s a balance designed to help everyone do their best work and keep growing.
OUR TOTAL REWARDS PHILOSOPHY 🎉
Our Total Rewards Philosophy centers around three core areas to reward and care for our People:
- Rewarding Impact: We lead with competitive pay to reward the impact, skills and traits that fuel our success.
- Fostering Holistic Wellbeing: We care deeply about and invest in the whole person with programs that support our people’s physical, mental, and financial well-being.
- Empowering Our Talent Culture: We build a culture of trust and empowerment by designing our rewards and benefits with transparency, equity, and flexibility, enabling our people to do their best work and stay for the long haul.
OUR PROMISE TO YOU 😍
- Financial Wellness: Own a piece of Docebo through our Employee Share Purchase Plan (ESPP) at a 15% discount, plus a competitive compensation package.
- Your Well-Being, Covered: You’ll get access to health benefits, so you can get the care you need when you need it.
- Rest, Relax, Repeat: Rest and recharge with paid vacation days, two company-wide Docebo Days, floating holidays for cultural celebrations, and your birthday off!
- Family First: We provide coverage offering you time with your little one(s) so you can soak up all those precious moments. Fun fact: we had 30 Docebian babies join the family in 2025!
- Connections That Count: Connect with global communities through our Employee Resource Groups (including PRIDE, DWA, BIDOC, and Green Ambassadors) and company-wide events that keep the fun rolling all year long.
ABOUT DOCEBO 💙
At Docebo, we create seamless, AI-powered learning experiences for over 3,000 customers worldwide. We have successfully achieved two IPOs (TSX: DCBO & NASDAQ: DCBO https://www.docebo.inc/home/default.aspx), been recognized as a top SaaS e-learning solution, and are growing exponentially in the process. We're a global company, with office across North America, EMEA, APAC, and beyond. Our team is guided by five core values—Grow Together Win Together, Build with Our Customer, Clear is Kind, Own Outcomes, Progress Over Perfection—that shape everything we do. If this resonates with you, now is the perfect time to join one of the fastest-growing learning technology companies in the world.
Docebo is an Equal Employment Opportunity employer https://www.eeoc.gov/sites/default/files/2022-10/EEOC_KnowYourRights_screen_reader_10_20.pdf. We are committed to diversity and inclusion in our workforce. All qualified applicants and employees will receive consideration for employment regardless of their race, colour, religion, sex (including pregnancy, gender identity, and sexual orientation), national origin, citizenship status, age, disability, genetic information, or any other category protected under applicable law.
As a federal contractor, Docebo is committed to the principles of affirmative action and equal employment opportunity for protected veterans and individuals with disabilities. Docebo does not discriminate because of protected veteran status or on the basis of disability, and Docebo takes affirmative action to employ and advance in employment qualified protected veterans and individuals with disabilities.
Any individuals requiring a reasonable accommodation or would like to voluntarily disclose a disability or protected veteran status to assist with their employment application should send an e-mail to their recruiter directly.
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 Safeguards ML Inference Path team designs, builds, and operates the production infrastructure that powers Claude's ML based safety systems. We collaborate closely with safety researchers and inference engineers to bring new classifiers and novel classes of ML defenses to production. We own the research → production transfer of new safety technologies that is on the critical path for every Claude model launch. And we build for scale: serving thousands of ML classifiers, for all requests on the token generation path, and for every platform Claude runs on -- 1P, Bedrock, Vertex, and beyond.
We’re growing the team and looking for engineers who have deep expertise in productionizing ML systems. You'll work at the intersection of machine learning, large-scale distributed systems, and AI safety, developing the platforms and tools that enable our safeguards to operate reliably at scale. And your tooling and infrastructure will be used for every model launch, which are becoming more complex, and more frequent.
Responsibilities:
Design and build scalable ML infrastructure to support real-time safety deployments across our classifier and model ecosystem
Build monitoring and observability tools to track classifier performance, data quality, and system health for safety-critical applications
Collaborate with research teams to productionize safety research, translating experimental safety techniques into robust, scalable systems
Optimize inference latency and throughput for real-time safety evaluations while maintaining high reliability standards
Implement automated testing, deployment, and rollback systems for ML models in production safety applications
Partner with Safeguards, Security, and Alignment teams to understand requirements and deliver infrastructure that meets safety and production needs
Contribute to the development of internal tools and frameworks that accelerate safety research and deployment
You may be a good fit if you:
Are proficient in Python and have experience with ML frameworks like PyTorch, TensorFlow, or JAX
Understand distributed systems principles and have built systems that handle high-throughput, low-latency workloads
Have built automated or self-service deployment pipelines and eval infrastructure allowing researchers to roll out classifiers and models independently
Have implemented A/B testing frameworks and experimentation infrastructure for ML systems
Are results-oriented, with a bias towards reliability and impact in safety-critical systems
Enjoy collaborating with researchers and translating cutting-edge research into production systems
Care deeply about AI safety and the societal impacts of your work
Strong candidates may also have experience with:
Have 5+ years of experience building production ML infrastructure, ideally in safety-critical domains like fraud detection, content moderation, or risk assessment
Working with large language models and modern transformer architectures
Developing monitoring and alerting systems for ML model performance and data drift
Experience in trust & safety, fraud prevention, or content moderation domains
Knowledge of privacy-preserving ML techniques and compliance requirements
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$320,000
—
$485,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: 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 Safeguards ML Sampling Path team builds and operates the production services that power Claude's safety systems. These services sit on the token generation path across every platform Claude runs on: every request must pass through them, and each millisecond of added latency is wait time for our users. You’ll keep p99 latency flat as traffic grows, build for robustness as dependencies time out or partially fail, and ship changes safely to a system that cannot go down.
What you'll do:
Design, build, and operate the backend systems that process every token on the generation path for Claude requests, including the streaming contract with the API and inference engines.
Own latency and reliability end to end: define and maintain SLOs and error budgets for added latency, time-to-first-token, and availability, and lead incident response and postmortem follow-through.
Ship changes to the hot path rapidly but safely — canaried and gradual rollouts, error budget and latency gating, fast rollbacks — and drive per-token performance: chase tail latency and keep cost flat as traffic, models, and checks per request grow.
Set technical direction for the sampling path: lead design reviews, make latency, reliability, and cost trade-off calls with the inference and research teams, mentor engineers, and raise the operational bar for the wider Safeguards organization.
You may be a good fit if you:
Have designed, built, and operated high QPS systems at global scale, and were accountable for them in production: incident response, outages, and postmortem-driven remediation.
Have a strong foundation in distributed systems: replication, consistency tradeoffs, failure modes, and SLO management under load.
Design systems for graceful degradation: you plan for a slow dependency, a dropped stream, or a half-rolled-out deploy before it happens, and build so the system degrades predictably instead of failing.
Have successfully shipped broad or all-encompassing changes to mission critical systems (e.g., database migrations, interface changes, rewrites).
Strong candidates may also have:
8+ years of industry software engineering experience.
Familiarity with LLM inference systems and transformer-based models (not required, but a plus).
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$320,000
—
$485,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: United Kingdom (Hybrid); United Kingdom (Remote)
Workplace: Hybrid
Most money apps talk at you. Cleo talks back ✨
We're not building another finance app. We're building the world's first AI financial assistant, one that actually understands your money and makes you better at it, and we're changing the world's relationship with money in the process 💰 For everyone, whatever their background or balance.
The proof: profitable, fast-growing, a unicorn with over $300M in ARR, and millions of people who now feel differently about their money.
We love original thinkers who challenge the status quo. We move fast, tell the truth, and there's nowhere to hide from good work here. If that excites you more than it scares you, you'll fit right in.
Follow us on LinkedIn https://www.linkedin.com/company/cleo-ai/ for new features and the occasional roast 🔥
MEET THE TEAM
Here at Cleo, we have ~200 Engineers organised into Pillars ✨ Our stack spans a Ruby on Rails monolith, a single React Native (TypeScript) app frontend, Python for machine learning services, and PostgreSQL, all hosted on AWS and shipped through Kubernetes - backend goes out multiple times a week, app releases to Google and Apple at least weekly. To thrive here, our engineers proactively use our Engineering Principles to guide daily decisions, take ownership of problems beyond their own squad to drive broader impact, and actively drive their own learning, development and growth.
ABOUT THE ROLE
We’re looking for a brilliant Frontend React/React Native Engineer with an eye for UI/UX design to join us on our mission to fight for the world's financial health. You’ll be joining a team of adaptable, creative and product-focused engineers who ship working software. We understand our customers, we understand their pain, and we are passionate about helping them.
Key responsibilities include:
- Working on our React Native application, building out amazing experiences for our users which bring financial health to life in the unique Cleo tone of voice.
- Writing automated tests alongside your code to give us the confidence to ship it
- Using AB-Tests, feature flags and other tools that let us iterate quickly
- Using data to dig into user journeys, detecting problems and helping to optimise the Cleo experience
- Being part of the rota for our weekly app releases to the Apple and Google app stores
- Getting involved in cross-cutting concerns that lift our entire engineering effort with the rest of the frontend chapter
- Taking part in shaping all the work your squad does, not just the technical parts. Delivery is a team sport, and we encourage everyone at Cleo to share their ideas, so you can expect to be involved in product ideation sessions, user research calls, design reviews, retrospectives, ways of working sessions, product demos, OKR reviews.
Whichever squad and part of the business you land in, you will be shipping changes multiple times a week to our hundreds of thousands of active users and seeing your work having a material impact on the financial health of those most in need.
WHAT WE'RE LOOKING FOR
You are passionate about making a positive difference in society by improving the financial health of our users. You align with our company values https://web.meetcleo.com/life-at-cleo and engineering principles https://web.meetcleo.com/blog/cleo-engineering-principles, which drive our ways of working and software delivery.
For this frontend focused role, we also have some specific asks:
- We’re looking for someone with strong industry experience of using React Native or React with TypeScript for a minimum of 2+ years.
- As your work will primarily involve working on features for our mobile apps, we’d either like to see some proven experience in this area or a genuine passion for moving into the mobile app space.
WHAT WE OFFER
We offer benefits package built to support you in and out of work. Benefits vary by country 🌍 and include meaningful equity, comprehensive health insurance, mental health support, a paid one-month sabbatical after four years, a learning & development platform, pension or retirement contributions, and location-specific leave entitlements.
For the full breakdown on what's available in your location, visit our Candidate Hub https://meetcleo.notion.site/Cleo-Candidate-Hub-3b95c63b874580e9a068fdc6c8929ebf 👈
WHAT MATTERS
Cleo's mission is to change the world's relationship with money. We can't do that without building a brilliant, genuinely diverse team - and making sure our hiring process gives everyone a fair shot, running a fair and transparent recruitment process in which every candidate is considered on their merits.
We're glad to make reasonable adjustments at any stage of the process. If there's anything we can do to support you in showing us your best, please let your recruiter or one of the team know.
We may use AI-assisted tools during the recruitment process to take support the team in different ways like taking notes or referring back to conversations. They do not replace the team and all applications are reviewed by a Cleo employee thoroughly!
Location: Austin, TX
About Osano
Osano is an innovative B-Corporation built around a simple belief: privacy is a fundamental right. Since day one, we’ve been focused on giving modern enterprises the ability to innovate quickly, stay competitive, and earn customer trust by respecting data privacy and complying with consent guidelines. Our products help organizations operate confidently in a rapidly evolving regulatory and technological landscape.
About the Role
We’re hiring an experienced Sales Manager to nurture and inspire a high-performing team of 9 Account Executives. Our sales team is instrumental in driving Osano forward by bringing our suite of products to a new generation of customers. We’re an energetic, kind, and intentional team looking for our next leader to enthusiastically support Osano’s products, people, ideals, and values.
Responsibilities
Revenue Leadership
Design and execute quarterly and annual sales plans.
Support the sales team with prospect meetings, presentations, and negotiations.
Conduct weekly forecast reviews and quarterly progress review sessions.
Own your team's quarterly quota, designing and deploying strategies to achieve it.
Manage productivity, opportunities, and quality to ensure teams meet/exceed established goals and provide a delightful customer experience.
Make ongoing process improvements, recommendations, and implementation of systems that will make our team more efficient.
Be a strong cross-functional partner to Sales Enablement, Product, Marketing, & Customer Success.
Team Development
Embody inclusive, servant leadership and nurture coach individuals at all levels to success.
Hire, mentor, and develop individuals to bring intellectual curiosity, resilience, and resourcefulness to their roles.
Provide feedback + focus your team of account executives.
Collaborate with the People team on hiring and development to ensure a diverse team that’s exceeding expectations.
Coach team members on sales acumen, product positioning, forecasting, and deal-level execution.
About You
You have 2-5 years of experience managing + leading a team of Account Executives, plus your own experience as an Account Executive (or a similar role), in an enterprise SaaS environment.
Ideally, you have some experience in governance/risk/compliance technology, legaltech, cybersecurity, or similar technical sales environments. However, this is not a requirement.
You’re a team player willing to get in the trenches with your team.
You are familiar with MEDDPICC, Challenger, and/or Force Management methodologies.
You possess excellent communication skills and have no problem managing expectations at various levels in a 100% remote office environment.
You’ve successfully built, grown, and led a sales team, including hiring early-stage talent.
You thrive in fast-paced, remote environments and have a way of nurturing early-career talent to do the same. This means being empathetic, proactively communicating, and bringing ingenuity and initiative to your every day.
You’re customer-focused and bring examples of how you’ve identified + responded to internal and external customer needs.
You recognize opportunities and initiate actions to capitalize on𑁋You’re always looking for new ways to make an impact.
You’re an innovative thinker; you embrace and champion new ideas and encourage others to do the same.
You build strong relationships and convey a deep concern for all employees.
You ensure individual needs + those of Osano are met and thoughtfully communicate up and down.
Why Us
A well-defined career path that’s not just “climbing the ladder” - learn different competencies, skills, and concepts as you progress and get recognized for it.
Supportive leadership and peers - from sales engineering and product marketing to sales development and demand generation - you’re never in this alone.
You’ll be stepping into a space that’s on fire – the privacy and regulatory landscape is only growing with a ton of opportunity in front of us.
You’ll become a privacy expert, including the opportunity to receive your Certified Information Privacy credential.
You’ll be representing a product that makes prospects say, “This is so awesome” when you demo it.
Benefits
Competitive compensation + ownership interest for early stake in our success!
Unlimited paid time off with a requirement to take at least two weeks off per year.
We're continuously a Best Place for Working Parents and offer paid parental leave for all new parents + believe that family, however you define it, comes first.
Osano sponsors individual premiums for base plans at 100% and dependent premiums at 50% for Medical, Dental, and Vision Insurance via Aetna.
A fully, permanently remote company so you can work from anywhere in the U.S.
Receive a Macbook + $600 to craft your home workspace
Annual company trip designed to foster connection, creativity, and having fun together!
Mental health benefits with free memberships to mindfulness + talk therapy services
A Bit More About Osano
Osano is a leading data privacy platform that helps organizations quickly and confidently comply with laws like GDPR, CCPA, and other global privacy regulations. From consent management to vendor risk monitoring, Osano makes complex privacy tasks refreshingly simple, so companies can focus on what they do best, while we handle the rest.
We’re backed by top-tier investors including Baird Capital, Jump Capital, and LiveOak, and we’re scaling fast with a multi-year runway and ambitious growth plans. We’ve also been recognized as a Great Place to Work for four years running, with 97% of employees saying Osano is a great place to work.
As we grow, we're looking for individuals who lean into modern technologies and smarter systems to drive efficiency, clarity, and speed; both in our product and in how we operate. If you're excited by the idea of helping build a high-growth, privacy-first company that embraces thoughtful automation, emerging tech, and intentional collaboration, we’d love to hear from you.
Osano is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, marital status, genetic information, disability, veteran status, or any other characteristic protected by applicable law.
Location: Remote - European Region
Workplace: hybrid
Coinspaid Dev is the engineering brand behind the technology, infrastructure, and R&D expertise built within Coinspaid. With more than 120 engineersand over 11 years of industry experience, Coinspaid Dev brings together software engineering, infrastructure, security and R&D teams with experience building distributed systems and blockchain infrastructure operating across more than 20 blockchain networks.
Coinspaid Dev emerges as an independent engineering brand with a straightforward mission: to advance blockchain infrastructure engineering and contribute practical expertise back to the industry. The structure is new. The experience behind it is not.
Responsibilities:
Collaborate with cross-functional and cross-domain teams to gather requirements, design solutions, and deliver features
Design, develop, and maintain backend systems using PHP and MySQL(or similar), ensuring they are scalable and maintainable
Implement and optimize complex features with a focus on clean, reusable, and efficient code
Write unit tests to ensure the reliability and scalability of code
Participate in code reviews, architecture discussions, and ensure adherence to best practices in software development
Monitor and troubleshoot production systems, ensuring the highest levels of availability, performance, and security
Share on-call duties with the team to ensure smooth operations of the systems in production
Stay updated with new technologies and trends, and introduce them where appropriate to enhance system performance and maintainability
Requirements:
Experience (5+ years) in object-oriented PHP and modern PHP tools
Software design principles (SOLID, KISS, DRY) and layered architecture
Applied DDD practices: bounded contexts, aggregates, domain events
Good knowledge of the latest versions of Laravel framework
Strong understanding of relational databases like MySQL/PostgreSQL including transaction management
Experience in database query optimization, analysing deadlocks and db performance
Message-driven services in production with Apache Kafka or a comparable broker
Handling money in application code: exact arithmetic, explicit rounding rules, multi-currency precision, idempotent money-moving operations
Security best practices
Experience with monitoring tools (Prometheus, Grafana or similar)
Working with Docker/Docker Compose/Kubernetes on a daily basis
Good level of spoken and written English (B1+) and Russian
Nice to have:
Experience with Go
Fintech, payments, or crypto domain experience
High-load
Why join CryptoProcessing by Coinspaid
You’ll be joining a company that is actively shaping its space – with enough scale to matter and enough room to make an impact.
At Coinspaid, people are expected to think, contribute, and take ownership – and are supported in doing so.
We focus on flexibility, wellbeing, and long-term growth – without overcomplicating how benefits work.
Flexible Benefits
Benefit Bar – up to €230/monthA flexible monthly budget you can use for what matters most to you – from sports and mental health to coworking, home office, or medical-related expenses.
Work & Flexibility
Fully remote work from almost anywhere
Optional offices and relocation support
Flexible, async-friendly environment
Growth & Learning
Budget for courses, certifications, and professional development
Language learning support
Cross-team learning and knowledge sharing
Wellbeing & Support
Medical insurance or reimbursement depending on location
Access to mental health support
Financial support for important life events
Extras
Merch shop with rewards system
Team offsites and company events
Sounds good? Well then, we can’t wait to see your resume!
To learn more please visit: https://coinspaid.com/about-us/ & https://coinspaid.com/careers/
Location: Remote-Friendly, United States; San Francisco, CA | Seattle, WA | New York City, NY | Washington, DC
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the Team
The Security Engineering team's mission is to safeguard our AI systems and maintain the trust of our users and society at large. Whether we're developing critical security infrastructure, building secure development practices, or partnering with our research and product teams, we are committed to operating as a world-class security organization and keeping the safety and trust of our users at the forefront of everything we do.
What You’ll Do:
Conduct red and purple team engagements simulating advanced threat actors across our cloud infrastructure, endpoints and bare metal deployments.
Penetration test specific, high value deployments.
Contribute to AI-assisted security testing tooling and workflows.
Work cross functionally with other security and engineering teams, particularly on AI-specific attack scenarios.
Document and present findings to technical and executive audiences, translating attack narratives into actionable risk insights that inform security roadmaps.
Who You Are:
5+ years of hands-on experience in red teaming and offensive security operations
Deep expertise in at least two of: macOS security, Linux Security, Cloud security (GCP/AWS/Azure), Kubernetes, CI/CD pipelines
Track record of discovering novel attack vectors and chaining vulnerabilities creatively
Experience conducting adversarial simulations against well-defended environments
Strong engineering skills (Python, Go, or similar)
Ability to write clear findings that drive action, helping teams understand risk and prioritize fixes
Collaborative approach, working in close collaboration with the blue team
Strong candidates may also have experience with:
Prior work at organizations with state actor threat models
Interest in AI safety and how security engineering contributes to responsible AI developments
Background testing AI/ML systems or agentic workflows
Familiarity with detection engineering and SIEM/EDR platforms from the defensive side
Experience with data center security or hardware-based attacks
Deadline to apply: None. Applications will be received on a rolling basis.
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$300,000
—
$320,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: San Francisco, CA | New York City, NY
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the Role
As a Data Engineer on the Data Science & Analytics team, you will build the data foundation for Anthropic’s quote-to-cash lifecycle: the path a deal takes from opportunity through revenue. You will design the canonical data models so that Sales, Deal Desk, Order Management, Revenue Operations and Finance work from one governed, auditable definition of what was sold, on what terms, and where each deal stands. You will partner closely with DS&A and with GTM and Finance systems teams who own Salesforce, CPQ and billing to make quote-to-cash data reliable, well-modeled and self-serve as our business scales.
Responsibilities
Understand the data needs of Deal Desk, Order Management, Revenue Operations, Finance and Sales systems teams, and translate them into technical requirements
Design, build and own data models that transform raw Salesforce, CPQ, and billing data into canonical datasets
Establish high data integrity standards and SLAs to ensure timely, accurate delivery of data
Partner with Salesforce, CPQ and billing engineers on upstream schema changes, new fields and ingestion so the warehouse faithfully mirrors the systems of record
Build foundational data products, dashboards and tools to enable self-serve analytics to scale across GTM teams
Influence stakeholder roadmaps from a data perspective, and become the expert on Anthropic’s GTM data models and architecture
You might be a good fit if you have
5+ years of experience as a Data Engineer, Analytics Engineer or in a similar Data Science & Analytics role, ideally partnering with GTM, Revenue Operations or Finance teams.
A passion for the company's mission of building helpful, honest, and harmless AI.
Hands-on experience modeling Salesforce data and at least one adjacent quote-to-cash system: CPQ, contract lifecycle management, billing and invoicing, or ERP.
Expertise in building multi-step ETL jobs, building robust data models through tooling like dbt; proficiency with workflow management platforms like Airflow and version control management tools through GitHub.
Expertise in SQL and Python to transform data into accurate, clean data models.
Experience building data reporting and dashboarding in visualization tools like Hex to serve multiple cross-functional teams.
A bias for action and urgency, not letting perfect be the enemy of the effective.
A “full-stack mindset”, not hesitating to do what it takes to solve a problem end-to-end, even if it requires going outside the original job description.
Experience building an Analytics Data Engineering (or similar) function at start-ups.
A strong disposition to thrive in ambiguity, taking initiative to create clarity and forward progress.
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$320,000
—
$405,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: San Francisco, CA | New York City, NY | Seattle, WA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
As a Salesforce Developer at Anthropic, you will design, build, and maintain the Salesforce platform that powers our core customer motions and quote-to-cash business.: This includes automation throughout the Salesforce platform ranging from core sales automation to product catalog and pricing, quoting and approvals, order and contract management, and the handoff to billing and provisioning. You'll work both autonomously and collaboratively across RevOps, Order Management, Legal, Billing Engineering, Deal Desk, Finance and Accounting, and Product to translate pricing and packaging requirements into scalable Apex, Flow, and integration solutions, and to extend our capabilities with custom code where necessary. We are an AI-first systems team, and you'll be expected to use Claude and our in-house AI development tooling as a core part of how you write, review, and ship code, always against our house standards for flexibility, maintainability, and scale.
Where you might sit
We're hiring across more than one team. Placement depends on your background and where you can have the most impact.
GTM Systems:
Builds and runs the Salesforce platform and connected tools that Anthropic's sellers, sales leaders, and revenue operations teams rely on every day. You'd build the automation behind how deals move through the pipeline, how leads and accounts reach the right owner, and how information flows between our sales tools and the rest of the business. You'll work directly with the analysts and operators who define the process, and see the impact on the people who use what you ship.
QTC Experiences:
A vertically integrated team that spans quoting through to provisioning agreements, as well as customer billing experiences over the term of their agreement. You'd build the foundational systems for CPQ, order management, provisioning and billing experiences, envisioning how we make our sellers and ops teams orders of magnitude more efficient with Claude. You'll work cross-functionally with GTM, finance, accounting and other stakeholders. Your work will directly impact seller velocity and our GTM deal making capacity.
Key responsibilities
Develop and maintain Apex (triggers, services, selectors, batch/queueable), Lightning Web Components, and Flow automation following our house Apex standards and trigger framework
Design and build quote-to-cash infrastructure in Salesforce, including the product catalog and pricing data model, quote and order lifecycle, discount and approval automation, and amendment, renewal, and co-termination flows
Extend CPQ and expand into agentic selling with custom pricing and quote-calculation logic, quote and order user experiences, and code built against the package's APIs and data model
Build and own integrations between Salesforce and our billing, provisioning, and finance systems, such as Stripe, Metronome, and NetSuite, directly or via middleware
Support new product and pricing launches by modeling catalog, SKU, and pricing changes so they can be released quickly and reflected consistently in every downstream system
Use Claude and our internal AI development tooling as a first-class part of your build and code-review workflow
Partner with Business Systems analysts and Finance to ensure data-model decisions support downstream bookings, forecasting, and revenue reporting
Partner with DevOps on release management for your work: sandbox strategy, source control, peer review, and deployment via SFDX/metadata tooling
Ensure appropriate controls, test coverage, and documentation are in place for an effective control environment, particularly around pricing, discounting, and contract changes
Operate with ambiguity in a rapidly changing business, resolve problems independently, and propose solutions that scale
Minimum qualifications
Hands-on Salesforce development experience (Apex, SOQL, LWC, Flow) in a production org
Experience building or extending CPQ and quote-to-cash functionality in Salesforce (Salesforce CPQ, Revenue Cloud, Nue, or similar): product and pricing data models, quote and order lifecycle, approval automation, and amendments and renewals, including custom code written against the CPQ package rather than configuration alone
Experience integrating Salesforce with billing, ERP, or provisioning systems via REST/Bulk APIs, middleware (Workato, Mulesoft, or similar), or direct callouts
Fluency with SFDX, source-controlled metadata, and a sandbox-to-prod release process with peer review
Active use of AI-assisted development tools (Claude, Copilot, Cursor, or similar) as part of how you write and review code, and the ability to speak to how you steer and verify their output
Basic SQL skills and comfort working alongside a data warehouse
Effective communication with sales, deal desk, finance and accounting, product, and engineering stakeholders
Preferred qualifications
Salesforce Platform Developer I and II certifications
Advanced Administrator or Application/System Architect certification
Deep understanding of Salesforce platform constraints: governor limits, bulkification, sharing and visibility, recursion control, and how they surface in CPQ-specific situations such as large quotes, calculation performance, and bulk amendments
Experience implementing a CPQ solution end to end or re-platforming from one CPQ to another, not just maintaining an existing one
Experience with billing and finance platforms such as Stripe, Metronome, or Oracle, and with usage-based or consumption pricing models
Working understanding of how CPQ design decisions flow through to bookings, invoicing, and revenue recognition
Proven experience scaling Salesforce in a high-growth GTM environment
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$270,000
—
$315,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: San Francisco, CA | New York City, NY
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
Join Anthropic as a Customer Success Manager for Life Sciences. You’ll be a strategic partner and trusted advisor to leading organizations working to accelerate scientific discovery, such as research institutes, academic medical centers, and scientific foundations. You’ll help these organizations harness the full potential of Claude through deep product expertise, use case discovery, and hands-on guidance.
You’ll be part of a Research and Life Sciences account team pod, working as one team with your Account Executive and Applied AI partners. Together you’ll shape account strategy with you taking the lead on adoption, change management, and value realization.
This role doesn’t follow a single playbook. You’ll run a range of Customer Success motions, from deep 1:1 strategic partnership to one-to-many programs like webinars, hackathons, and cohort-based enablement. You’ll choose the motion based on top account and customer priorities and the best way to solve for them.
The insights you gather will directly inform our research priorities, product development (including how Claude for Life Sciences evolves), and strategies for beneficial AI deployment. That makes you a key voice in how we build and deliver AI systems that accelerate science for the benefit of society.
Responsibilities
Build trusting, strategic relationships with research leaders, scientists, principal investigators, and program directors to understand their scientific priorities, organizational goals, and impact objectives
Partner closely with your Account Executive and Applied AI counterparts in the Research and Life Sciences pod on shared account plans, bringing in Product, Support, and other teams as needed
Run the right Customer Success motion for each account and customer priority, whether that’s dedicated 1:1 engagement, cohort-based onboarding, hackathons and build days, office hours, or researcher communities
Become an expert in Anthropic’s products, especially Claude for Science, guiding organizations and their researchers and scientists to the right solutions and most impactful use cases
Monitor usage patterns and proactively drive adoption, identifying optimization opportunities and new applications for Claude across your book of business
Develop and execute change management strategies suited to scientific and academic cultures, including Train the Trainer programs, Center of Excellence development, and enablement that respects partner capacity, governance requirements, and decision-making processes
Guide partners through the technical and governance foundation for launch, including SSO and provisioning, workspace configuration, and data handling considerations for research and health data (such as HIPAA, IRB, and institutional data policies)
Own account and success plans and run Quarterly Impact Reviews that document and quantify value realized, such as research productivity, time-to-insight, and cost savings, and partner with Marketing on success stories and reference accounts
Establish the repeatable playbooks, templates, and health metrics that define what “great” looks like for customer success in life sciences at Anthropic
You may be a good fit if you have
6+ years of experience in Customer Success, Technical Account Management, Solutions Engineering, or consulting
3+ years of experience in life sciences research, with exposure to new technologies as a catalyst for accelerating progress
Experience working directly with life sciences organizations, such as academic research institutions, research institutes, foundations, biotech, or pharma, and familiarity with how scientific research is conducted, funded, and governed
An understanding of the regulatory, risk, and compliance needs of the industry
Experience driving success across both consumption-based and seat-based business models, with an understanding of the expansion levers and success metrics for each
Experience managing dedicated strategic accounts and delivering one-to-many programs, with the judgment to choose the right motion for the customer priority at hand
Strong cross-functional collaboration skills, including working as part of an account team with Sales and technical partners and advocating effectively for customer needs
Technical fluency in AI/ML concepts, API integrations, and software implementation patterns, and the ability to explain them to audiences ranging from bench scientists and computational researchers to institutional leadership. Familiarity with scientific data types, research workflows, or bioinformatics tooling is a strong plus
A data-driven, AI-first way of working, using adoption signals to guide decisions and building Claude-powered workflows into how you engage partners
Passion for both AI and accelerating scientific progress, with a strong interest in ensuring frontier AI systems are developed safely, ethically, and deployed to benefit society
A knack for bringing order to chaos and an enthusiastic “roll up your sleeves” mentality. You are a true team player
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$200,000
—
$265,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Italy
About our client
Our client is a family-run Japanese company with over
200 years of history
and two key business divisions: food for human consumption and pet food. In Japan, our client is the
No.1 pet food brand
, known for its wide product portfolio and innovative, industry-defining product
“Churu”
. After significant domestic growth, the company continues to expand internationally with the mission to bring joy to pets and their owners worldwide.
They are now seeking a highly motivated
eCommerce Specialist
to join their team and support their growing European operations.
With full budget accountability in alignment with the line manager, the position focuses on building strong, influential relationships with key eRetailers and collaborating with internal stakeholders to deliver actionable insights and innovative solutions. The role will lead the development and execution of mutually beneficial joint business plans that foster sustainable growth for the eCommerce channel and the overall market.
In this position, you will lead and coordinate the eCommerce channel in close collaboration with local market teams for our client. You will drive growth, strengthen client relationships, and ensure operational excellence in the digital space.
Main responsibilities:
Lead eCommerce Strategy:
Develop and execute strategies to grow online sales, traffic, and customer loyalty across key platforms and emerging eRetailers.
Manage Key Accounts:
Act as the primary contact for major eRetailers (e.g., Amazon,…), ensuring strong partnerships and tailored solutions.
Drive Sales Performance:
Oversee distribution, revenue, and budget targets for the eRetailers, ensuring alignment with business objectives.
Plan & Execute Listings:
Prepare and implement annual plans, product listings, and promotional activities to maximize visibility and conversion.
Analyze Market & Assortment:
Monitor market trends, competitor activity, and assortment opportunities to identify new revenue streams.
Monitor & Report KPIs:
Track account performance, provide regular reporting, and ensure achievement of agreed KPIs.
Collaborate Cross-Functionally:
Work closely with marketing, shopper CX, supply chain, and colleagues to share best practices and support overall growth.
Ensure Compliance & Control:
Maintain operational standards, budget adherence, and compliance in all Digital Commerce activities.
Represent the Brand:
Participate in trade fairs and industry events to strengthen our client's presence and build strategic relationships.
Requirements
Education & Experience
University degree or equivalent vocational training.
2-4 years of professional experience in eCommerce, digital sales, or key account management within FMCG or related industries.
Proven track record in managing eCommerce platforms and client relationships (experience with Amazon or similar online-shops is a plus).
Technical & Analytical Skills
Strong knowledge of digital marketing tactics, tools, and trends, with ability to translate them into actionable strategies.
Data-driven mindset: skilled in analysing performance data and making informed decisions to optimize digital channels.
Proficiency in MS Office (Excel, Word, Outlook), Power BI, and familiarity with analytics tools (e.g., Google Analytics).
IT literacy and ability to work with digital tools and platforms.
Commercial & Strategic Skills
Solid business acumen and ability to develop tailored strategies for key accounts.
Understanding of market dynamics, competitor analysis, and decision-making processes.
Ability to interpret customer and market data to identify growth opportunities.
Interpersonal & Communication Skills
Excellent intercultural communication and relationship management skills.
Targeted and persuasive communication style, both written and verbal.
Strong networking and customer orientation.
Languages: Business-level English/Italian
(French and additional European languages are a plus).
Other Requirements
Willingness to travel
for business (as agreed with line manager).
Driving license (Category B
).
Competencies
Drive for Results:
Strong focus on achieving goals and delivering measurable outcomes.
Customer Focus:
Ability to understand and anticipate customer needs and build lasting relationships.
Action-Oriented:
Proactive approach to problem-solving and execution in a fast-paced environment.
Planning & Priority Setting:
Skilled in organizing tasks, managing time, and setting clear priorities.
Communication Skills:
Excellent verbal and written communication, including intercultural competence.
Peer Relationship & Collaboration:
Ability to work effectively across teams and influence stakeholders.
Adaptability:
Comfortable with change and able to adjust strategies quickly.
Key Functional Competencies & Technical Skills
eCommerce Expertise:
Managing online platforms and eRetailers (Amazon, …).
Customer Execution & Measurement:
Delivering flawless execution and tracking performance metrics.
Sales & Customer Communications:
Building compelling propositions and maintaining strong client engagement.
Revenue Management:
Ability to optimize pricing, promotions, and profitability.
Financial & Analytical Acumen:
Strong data interpretation skills to drive insights and decisions.
Digital Marketing Knowledge:
Understanding of tactics, tools, and trends to drive traffic and conversion.
Analytical Skills:
Turning data into actionable insights for growth.
IT & Tools Proficiency:
Advanced MS Office (Excel, Word, Outlook), Power BI, and analytics platforms.
Location: South Africa; Brazil; Argentina; Morocco
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 and established businesses in SaaS, MarTech, FinTech, and EdTech.
Unlike traditional outsourcing, you’ll be placed directly with a client as a core member of their team—giving you real ownership, career progression, and long-term stability.
Role Type: Full-time
Engagement: Independent Contractor
Job Summary
We are seeking a high-performing Strategic Sales Development Lead to drive growth for a premier modern home decor and lighting brand. This is not a typical "volume-only" SDR role; you will be the engine behind our outbound strategy, targeting high-value opportunities and sophisticated homeowners seeking minimalist luxury. As a Lead, you will bridge the gap between individual contribution and strategic leadership—managing a robust pipeline while mentoring junior team members to elevate our overall sales process. If you thrive in a fast-paced e-commerce environment and have a proven track record of converting luxury prospects into qualified opportunities, this is your next career milestone.
Key Responsibilities
Prospect, identify, and engage high-potential accounts and decision-makers through a multi-channel approach (phone, email, and LinkedIn).
Maintain a "speed-to-lead" standard, contacting new inbound leads within 5–15 minutes to qualify them based on authority, timeline, and opportunity size.
Book 25–30 qualified meetings per month and ensure a minimum of 10–15+ sales-qualified opportunities are created.
Execute 50–80 targeted daily touches, utilizing deep research to personalize messaging for the modern home decor market.
Maintain 100% data integrity in the CRM, ensuring every lead has a scheduled next action and detailed notes.
Act as a Senior/Lead resource by coaching junior SDRs, sharing successful scripts, and optimizing outbound sequences.
Review personal and team funnel metrics daily to identify conversion gaps and optimize the lead-to-meeting ratio.
Requirements
Proven experience specifically within the home goods, furniture, or lighting industries.
Demonstrated ability to move beyond activity quotas to focus on pipeline value and qualified opportunity creation.
Ability to work a strict 9:00 AM – 5:00 PM CST schedule from an offshore location.
Exceptional verbal and written communication skills with the ability to engage high-end clientele.
Prior experience in a Senior or Lead SDR capacity, demonstrating the ability to mentor others and refine sales processes.
Nice-to-Haves
Expertise in HubSpot CRM and Microsoft Office Suite.
Direct experience in E-commerce sales cycles.
Advanced skills in Lead Sourcing, Discovery Calls, and Sales Forecasting.
Background in closing or account management within the interior design or architecture space.
Benefits
🌎 Fully remote role with flexible working hours
🚀 Work with high-growth international companies
📈 Clear career progression to Account Executive and beyond
🎯 Performance-based bonuses and incentives
🤝 Direct hire with global clients (not outsourced)
🧠 Ongoing training, mentorship, and sales development support
Location: Philippines; South Africa; Pakistan; Morocco; Egypt; Brazil
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 and established businesses in SaaS, MarTech, FinTech, and EdTech.
Unlike traditional outsourcing, you’ll be placed directly with a client as a core member of their team—giving you real ownership, career progression, and long-term stability.
Role Type: Full-time
Engagement: Independent Contractor
Job Summary
We are seeking a results-driven Sales Development Representative to spearhead our outbound growth strategy within the international education sector. In this role, you will be the primary engine for pipeline generation, engaging directly with senior school leadership teams to introduce innovative educational solutions. This is an ideal opportunity for a self-managed sales professional who understands the unique nuances of the EdTech landscape and thrives on building meaningful relationships with global educators.
Key Responsibilities
Build and maintain targeted lists of international schools, identifying key decision-makers including Principals, Deputy Heads, and Sustainability Leads.
Execute high-touch LinkedIn outreach campaigns featuring personalized, consultative messaging tailored specifically to educators.
Manage multi-channel cold email sequences and structured follow-ups to maximize response and engagement rates.
Conduct high-volume daily outreach, including 30–50 LinkedIn messages and 20–30 cold emails.
Consult with school leadership stakeholders to align our solutions with their institutional goals.
Book and coordinate 10–15 qualified meetings per month for the leadership team.
Maintain rigorous CRM hygiene, tracking lead progression and providing clear visibility into the sales pipeline.
Requirements
Proven experience in B2B outbound sales, specifically utilizing LinkedIn and email as primary channels
Direct experience selling into the education sector or EdTech space is a critical requirement for this role
Exceptional communication skills with the ability to engage and influence senior stakeholders and school leadership teams
Highly self-motivated and capable of maintaining consistent daily activity output without micro-management
Strong organizational skills and proficiency in CRM management and sales automation tools
A consultative approach to sales, focusing on value-driven conversations rather than aggressive pitching
Nice-to-Haves
Previous experience working within an international school environment or a deep understanding of global curriculum standards.
Familiarity with sustainability and climate education initiatives.
Experience in a startup or fast-paced growth environment.
Benefits
💰 Competitive monthly compensation
🌎 Fully remote work environment
🚀 Opportunity to shape the growth of a mission-driven organization
📈 Performance-based incentives for qualified meetings booked
🎯 Autonomy and ownership over your outreach strategy
🌟 Direct impact on global educational innovation
Location: San Francisco, CA | Seattle, WA | New York City, NY | Washington, DC
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
Anthropic's Security Governance, Risk, and Compliance (GRC) team is the connective tissue that holds the company accountable to its security and control commitments. We translate regulatory, customer, and voluntary obligations into controls that teams act on, and give leadership a bird's-eye view of how well we're meeting them. We're building toward continuous assurance, to challenge and evidence the performance of controls continuously rather than through periodic audits.
As Anthropic scales to meet public-company standards, the Sarbanes-Oxley (SOX) control environment over our technology stack is one of the most consequential things this team owns. As part of Security GRC's technical controls assurance function, you will be the voice on what the IT general controls must achieve to support SOX 404 compliance. In partnership with Internal Audit, you will define control requirements and acceptance criteria for the in-scope engineering systems and infrastructure that underpin financial reporting. You will pair with engineering as they design and implement against those requirements, and validate that what ships actually meets the bar before Internal Audit and our external auditors test it. You are the product owner for control design methodology and continuous control monitoring, initially around ITGCs, but extending into other areas of security and compliance to drive visibility where and when we need it.
Key responsibilities
Define control requirements and acceptance criteria across the core ITGC domains of logical access, change management, computer operations, and program development for SOX in-scope systems, including home-built platforms where the control has to be designed into the system rather than bolted on.
Set the bar for in-scope systems from day one. As financially significant systems are built, migrated, or replaced, define what the system must provide (auditability, segregation of duties, change control, immutable logging, evidence retention) before go-live, so controls are not retrofitted after the fact.
Pressure-test changes for SOX impact during design. Review major infrastructure, system, and agent framework changes for control impact while decisions are still cheap, and maintain a clear view of which changes alter the SOX scope, key control population, or evidence requirements.
Own second-line control monitoring and evidence readiness. Stand up continuous controls monitoring and automated evidence collection for ITGCs (control testing, walkthrough preparation, population and completeness validation, and mapping to the common controls framework). Materially raise automated evidence coverage and cut audit prep time.
Drive control deficiency remediation with cross functional partners. Track and root-cause ITGC deficiencies surfaced by monitoring, Internal Audit, or external audit; partner with engineering owners on remediation design; and assess whether remediation actually closes the gap before re-testing.
Assess scope changes through a SOX lens. When new products, entities, systems, or integrations come into scope, provide technical and compliance assessment of their impact on control design, evidence requirements, and engineering effort before commitments are made.
Maintain alignment with the broader compliance portfolio. Where SOX ITGCs overlap with SOC 2, ISO 27001/42001, or other frameworks, ensure controls are designed once and evidenced once, and that changes made for one framework do not silently break another.
Minimum qualifications
Thrive at the pace of a hypergrowth company. You're comfortable making calls with incomplete information and reprioritizing as scope shifts.
Have led or been a senior contributor to an ITGC program through SOX 404 readiness and/or at a public company, with a working command of PCAOB AS 2201, COSO 2013, and how external auditors scope, test, and evaluate technology controls and deficiencies.
Have genuine engineering fluency, possibly from an earlier engineering career: you can read code and Terraform, follow a CI/CD pipeline end to end, and challenge a design on its technical merits.
Have programming skills in Python or at least one systems language such as Go, Rust, or C/C++.
Have deep familiarity with developer platform, release engineering, cloud infrastructure, or ERP/financial systems control domains.
Understand the role of the second line: you can advise and challenge engineering without taking ownership of their controls, and you know where the line sits between your monitoring and Internal Audit's independent testing.
Are a strong collaborator and communicator across Finance, Engineering, Internal Audit, and external auditors.
Use Claude and other LLMs as daily working tools, and have grounded, specific views on which SOX assurance workflows AI can run today and which it can't yet.
Translate SOX and framework language into acceptance criteria engineers can build against, and translate engineering reality back into assurance language auditors and leadership can rely on.
Default to getting the requirement designed into the system rather than papering over the gap with procedure.
Preferred qualifications
A combination of audit or advisory experience (Big 4 or equivalent, ideally IT audit) with in-house experience at an AI-forward tech company, in either order.
Taken a company through a first-year SOX 404(a) and 404(b) assessment, including a first external ITGC audit.
Defined or assessed controls over home-built financially significant systems, usage-based billing, or revenue metering pipelines.
Defined or assessed controls for AI/ML systems or agents acting in production environments.
Stood up continuous controls monitoring or automated evidence programs.
Experience with SOC 1 reliance, service organization control mapping, and complementary user entity controls.
CISSP, CISA, CPA, or equivalent certification.
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:
$410,000
—
$510,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: San Francisco, CA | New York City, NY | Seattle, WA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
We launch new products, models and pricing often, and each launch has to work in our systems on day one. A seller needs to be able to quote it, Deal Desk needs to be able to approve it, billing needs to charge for it correctly, and Finance needs to report on it. This role owns how a launch gets into our quote-to-cash systems, from the first pricing conversation to the first invoice.
We are looking for someone who treats every launch as a change across many systems. You will join launch planning early, work out what has to change across catalog, quoting, contracts, billing, tax and reporting, and get all of it ready before the launch date. You will build a good part of the Salesforce work yourself and partner with our Salesforce developers and Billing Engineering on the rest. You will be the named owner of the NPI process for systems, and the person Product, Pricing and Finance call when they want to know what it takes to launch something.
We are an AI-first systems team. You will use Claude as a normal part of how you design, build, test and document, and you will look for ways to make launches faster and more repeatable with AI.
Key responsibilities
Own the systems side of new product and pricing launches, from the first pricing discussion through launch day and the first billing cycle
Turn a pricing and packaging decision into concrete system changes: SKUs, price books, bundles, discount and approval rules, contract terms, billing plans, tax codes and reporting
Build and run a repeatable NPI playbook: intake, a readiness checklist, sign-offs, a launch calendar and a post-launch review
Join launch planning early with Product and Pricing. Push back on pricing ideas that cannot be quoted, billed or reported cleanly, and offer options that can
Design how new pricing models work end to end, including usage-based, seat-based, tiered, committed and multi-year ramp pricing, and which system is the source of truth for each part
Plan the impact on existing customers: moving customers to new SKUs, grandfathering, amendments and co-termination, and how renewals will work
Own end-of-sale and retirement of products and prices, so old SKUs leave the catalog without breaking renewals, billing or reporting
Coordinate the changes across Salesforce, billing and our tax platform, working with the teams who own each system
Partner with Deal Desk, Sales, Finance, Accounting, Tax and Legal so each team signs off on what changes for them before launch
Make sure sellers and Deal Desk are ready on launch day, including quote templates, approval paths, guidance and enablement
Check every launch after it goes live: do quotes, orders, invoices and Finance reports match? Add the control or reconciliation that catches the gaps
Build and ship declarative solutions yourself where that is the right call, and write specs clear enough that developers can build the rest without several rounds of questions
Use AI to shorten launch cycles, for example generating catalog changes from a pricing spec, checking launch readiness, and testing quote and billing scenarios
Minimum qualifications
Experience in GTM or revenue systems as a Business Systems Analyst, Q2C Systems Lead or similar role, with hands-on ownership of product and pricing launches
Experience launching new products or pricing models at a fast-growing company, owning the change across catalog, quoting, contracts and billing
Hands-on experience with Salesforce CPQ, Revenue Cloud or a similar CPQ tool, especially product and pricing data models, price books, bundles and approval rules
Working understanding of how a pricing decision flows into bookings, invoicing, tax and revenue recognition
Experience running a cross-functional process with many sign-offs (Product, Finance, Legal, Sales) and getting to launch on a fixed date
Hands-on Salesforce admin skills (Flow, validation rules, page layouts, approval processes) and comfort building meaningful parts of your own solution
Clear communication across Product, sellers, Deal Desk, Finance, Legal and engineers, adjusting the level of detail for each
Preferred qualifications
Experience in GTM, revenue or finance systems roles
Experience with usage-based or consumption pricing, and with billing platforms such as Stripe, Metronome or Zuora
Experience moving existing customers onto new pricing, including migrations, grandfathering and amendments at scale
Experience with tax setup for new products (tax codes, tax engines such as Anrok or Avalara)
Experience with integrations between Salesforce and billing, ERP or provisioning systems, and comfort reading API payloads and integration logs
Basic SQL and comfort using a data warehouse to check launch data
Salesforce Administrator certification. CPQ Specialist, Advanced Administrator or Business Analyst certification is a plus
Hands-on use of AI tools (Claude or similar) in how you design, build or document systems, and the ability to explain how you check their output
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$270,000
—
$315,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Valencia
Workplace: OnSite
Role highlights:
Title: Software AIT Engineer
Department: Global Manufacturing Organisation
Reports to: Head of MAITE Spain
Location: Valencia, Spain
Type of Contract: Permanent
Working model: On-site
Employment is subject to applicable security screening (incl. SUPO, where required)
Why this role matters:
As a Software AIT Engineer, you play a vital role in bridging software development and hardware integration at ICEYE. You will lead satellite-level verification and validation campaigns, integrate flight software with satellite subsystems, and develop automated test frameworks to ensure functional readiness. You will act as the primary technical contact for software-related integration issues and drive continuous improvement across AIT methods, test efficiency, and build reliability -- ensuring every spacecraft meets ICEYE's standards for mission success.
Who We Are
ICEYE is the world leader in sovereign intelligence from space. We deliver persistent monitoring capabilities to detect and respond to changes in any location on Earth.
ICEYE owns the world's largest and most advanced SAR (synthetic aperture radar) satellite constellation. To our customers we provide intelligence with unmatched quality, latency and revisit times, in any weather, day or night. To governments who choose to operate their own constellation we provide this proven capability as a sovereign system.
ICEYE-built constellations serve customers in defence and intelligence, environmental monitoring, insurance and emergency management. We enable fast decisions that contribute to a safer future.
Founded and headquartered in Finland, ICEYE operates globally with over 1000 employees across Europe, North America, the Middle East, and Asia-Pacific.
Your day-to-day responsibilities
- Execute satellite-level verification and validation (V&V) campaigns, focusing on functional software operations and system health
- Lead the integration of flight software with satellite subsystems (avionics, power, RF, thermal), ensuring seamless interoperability
- Develop and maintain automated test scripts and frameworks to enhance efficiency, repeatability, and coverage across functional and environmental test campaigns
- Act as primary technical contact for software-related integration issues, performing root cause analysis and coordinating with software engineering to resolve anomalies
- Support production readiness and design reviews (PRR, CDR) by providing feedback on software testability, hardware-in-the-loop requirements, and system configuration
- Contribute to and improve AIT documentation including software test procedures, integration plans, and configuration records
- Interface with Global AIT, Software Engineering, and Mission Operations teams to ensure alignment on product standards and lessons learned
- Drive continuous improvement initiatives in integration methods, test efficiency, and build reliability
What we’re looking for
Must haves:
- 5+ years of hands-on experience in integration, testing, or production of complex systems -- preferably in aerospace or high-reliability hardware industries
- Strong proficiency in Python scripting and automation for test development and data analysis
- Proven experience in multidisciplinary engineering environments with a focus on system-level validation
- Deep technical understanding of satellite architectures including command and data handling (C&DH), avionics, or communication subsystems
- Familiarity with hardware-in-the-loop (HIL) testing, environmental testing (EMC, vibration, thermal), and configuration management
- Systems engineering mindset -- able to anticipate integration risks and connect software logic, hardware interfaces, and mission operations
- Proficient English (written and spoken) for cross-functional collaboration
Nice to haves:
- Experience with Atlassian Cloud tools (Jira, Confluence)
- Track record of enabling design-for-testability (DFT) and design-for-manufacturing (DFM)
- Lean and Six Sigma experience
- Experience writing or improving Python test scripts beyond routine execution
Application Process
- Talent Acquisition Interview
- Hiring Manager General Interview
- Technical Interview, including a Technical Challenge
- Final Interview
Working at ICEYE
At ICEYE, you’ll join a diverse and highly engaged team united by the ambition to make the impossible possible. As a global scale-up, we combine speed and ambition with the opportunity to take real ownership from day one. Your growth, wellbeing, and success are a priority, with continuous professional development, training opportunities, and a culture where collaboration is how we win.
How We Work (Our Values)
- Make the impossible possible: We set ambitious goals and stay calm under pressure. We bring grit, optimism, and ownership when things get hard, and we keep moving until we find a way.
- Be curious: Go deep, ask questions, listen carefully, and think critically. Understand the “why” behind decisions.
- See the big picture: Stay close to what’s happening across the company so you can make better decisions. Consider how your work affects others.
- Drive effective teamwork: Create psychological safety, invite different perspectives, and build inclusive teams. There are no bad questions.
- Act as one team: We win together. We match tasks to the right owner and stay agile as priorities shift.
- Have fun: What we do matters—and it should be enjoyable. Celebrate progress, take pride in results, and share the wins.
Benefits
Our benefits are designed to support your health and wellbeing, at work and beyond. We keep improving them based on employee feedback, and offerings vary by location. Talent Acquisition will confirm what applies for this role and location during the process.
Our Commitment to Diversity, Equity, and Inclusion
We want ICEYE to be a place where people can be themselves and do great work. Different backgrounds and perspectives make us stronger, which is why we work to create an environment where people feel included, respected, and able to speak up. Whatever your background, we want you to bring your authentic self to the table.
We’re committed to fair, inclusive hiring and equal opportunity. Everyone is welcome to apply. If you need any adjustments or support during the recruitment process, tell us—we’ll do our best to help.
Apply now to start your ICEYE journey, and help us continue to make the impossible possible together. Read more about ICEYE and working with us at iceye.com http://iceye.com.
Location: San Francisco, CA | New York City, NY
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
As a GTM Strategy & Operations Business Partner supporting the
AMER Enterprise
Tech
organization, you will work closely with sales leadership to be a deep expert in a critical segment of our fastest-growing business. This role supports the AMER Enterprise Tech team, one of Anthropic's largest and most strategically significant commercial organizations, and will partner directly with executives to drive strategic analysis, operational efficiency, and growth initiatives while supporting critical global strategic initiatives.
This includes business performance analysis, facilitating operating cadences and powering business reviews, improving operational efficiency, driving strategic initiatives, and supporting the rapid evolution of our sales motions and organization.
We're building for a future where AI dramatically amplifies what strategy teams can accomplish. We're hiring people with the technical depth, business judgment, and executive potential to operate at that frontier — leveraging AI to eliminate routine work and redirect energy toward the strategic and creative challenges that move the business. This role will evolve rapidly, and we need someone with the ceiling and ambition to evolve with it.
Key responsibilities
Strategic Analysis, Operations & Planning
Partner with Sales leaders to analyze and refine segment-specific strategy including territory planning, resource allocation, performance to plan, and growth initiatives
Maintain excellence through business reviews and operating cadences to help achieve company revenue targets and strategic objectives
Be audible-ready about GTM efforts and a deep expert in your segment's book of business and trends with the ability to cut right to what matters for varying audiences from IC to executive
Data-Driven Decision Support
Analyze sales performance metrics and develop insights to optimize segment performance and improve efficiency using SQL, R, or Python to query, model, and visualize data at scale
Leverage Claude to its full capability
Partner to create, evolve and maintain reporting mechanisms, using data to go from "what" to "why"
Synthesize tangible, strategic recommendations based on go-to-market motions, deal outcomes, partner and customer feedback, and product opportunities
Build and maintain dashboards, models, and ad hoc analyses in spreadsheets and BI tools with mastery-level proficiency
Go-to-Market Execution
Develop and maintain use case frameworks to capture and standardize how customers derive value
Support multiple teams and executives in leveraging insights for new deals, expansions, and retention strategies
Partner with GTM teams to evolve and refine sales motions and best practices across segments and regions
Executive Stakeholder Management
Serve as a trusted strategic advisor to senior and executive stakeholders across the GTM organization, delivering insights and recommendations with clarity, conviction, and composure
Navigate high-stakes conversations with intense, demanding executives — maintaining poise under pressure while delivering candid, well-supported perspectives
Build deep credibility through consistent follow-through, proactive communication, and the ability to challenge assumptions respectfully when the data warrants it
Translate complex analyses into executive-ready narratives that drive decisions, managing up effectively across multiple senior leaders with competing priorities
Cross-Functional Collaboration
Work closely with Revenue Operations, Sales Enablement, Strategic Finance, and Product teams to drive initiatives and elevate excellence in course of business
Support coordination between AMER Enterprise sales segments and partnership teams
Help prepare materials for executive reviews and planning sessions
Minimum qualifications
Deep alignment to Anthropic’s mission
Experience in sales strategy, revenue operations, management consulting
Proficiency in SQL or R — you can independently write queries, build models, and extract insights from large datasets without relying on others
Mastery of spreadsheet tools and data (Google Sheets / Excel) — pivot tables, complex formulas, data modeling, and scenario analysis are second nature to you
Strong analytical skills with the ability to translate data into actionable insights and compelling executive narratives
Deep experience with GTM systems like Salesforce and business intelligence tools (Looker, Tableau, etc.)
Proven executive stakeholder management skills — you have a track record of presenting to and influencing C-suite and VP-level leaders in high-intensity environments.
An ability to pull signal through noise and an internal drive to create clarity. You strive for simplicity as the most elegant solution to complex situations.
A demonstrated ability to build trust with and influence a variety of stakeholders, including colleagues and other members of the GTM Strategy and Revenue Operations team
A healthy balance of idealism with pragmatism and the highest internal bar for excellence. You have been accountable for the results of your recommendations.
Track record of driving forward high-growth sales organizations
Disciplined project management and exceptional communication and interpersonal abilities
A desire and readiness to do the best work of your career
Bachelor's degree required; MBA or advanced degree preferred
Preferred qualifications
10+ years of experience in sales strategy, revenue operations, management consulting
Experience in both large Enterprises in technology, finance or professional services, in addition to fast-paced startup building
Experience with AI/ML companies and consumption business models
Prior experience building frameworks for sales use cases or value propositions
Background in scaling sales organizations through 2-3x+ growth periods
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$270,000
—
$310,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
San Francisco, CA
San Francisco, CA
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