Location: Yerevan
Workplace: OnSite
HEALTH CAN’T WAIT.
Not for symptoms to get worse. Not for a six‑month appointment. Not for a system to catch up. But that’s exactly how healthcare works today. You wait, until you can’t.
Alan exists to end the wait.
Health is a universal right, and we believe this right can only become real when it’s coupled with prevention. We need to stop treating health as something we repair and start treating it as something we build, every day. It’s not solely a question of willpower. It’s the healthcare system itself that needs to work for everyone, in a sustainable way.
So we are building the new standard in prevention insurance. Alan is the first company that integrates insurance, prevention, and care into a single, acclaimed user experience.
We are on an incredible journey to build a global leading company, with a unique culture https://alan.com/en/careers. We already partner with 40K+ companies of all sizes, serving more than 1M+ members, and have reached €800M+ in ARR.
Prevention as the new norm. That's what we're building with our team of 1000+ people. If it speaks to you: we're hiring across France, Spain, Belgium, and Canada. And beyond.
⭐THE PRODUCT LEAD ROLE ⭐
The Product Lead for Armenia will drive Alan's product strategy and execution in supporting the transformation of healthcare in Armenia. This role involves leading dedicated product teams (designers, engineers) while coordinating with global product areas and a local operations team to deliver on Alan's contractual obligations and member experience goals.
📈KEY OUTCOMES📈
1. Develop and execute a product strategy that serves both the government's public health objectives and the members' experience, supporting our targets in terms of coverage rollout, member satisfaction, and operational reliability under the concession's contractual commitments.
2. Lead product crews to deliver product enhancements and new features, demonstrating effective leadership and prioritization across parallel workstreams with shared dependencies.
3. Collaborate with global product areas to ensure the Armenian system benefits from global innovations, adapting them as necessary to fit the B2G model and local healthcare context.
4. Partner with the local operations team, government relations, customer care, and the national health IT platform to align product development with operational readiness and regulatory expectations.
5. Implement data-driven decision-making processes, utilizing analytics to inform product strategy and measure the impact of product changes on member access, operational efficiency, and government trust.
6. Foster a culture of innovation and continuous improvement within the product team, encouraging experimentation and learning from both successes and failures.
⭐IS IT WHAT YOU ARE LOOKING FOR?⭐
️
YOU MAY BE A GREAT FIT AT ALAN IF YOU HAVE:
- At least 10 years of experience in a product-related role (Product Manager, Founder, Business strategy) with a track record of delivering complex systems at scale.
- A history of working on software products that delight users in a fast-paced environment from ideation to release.
- Proven experience in product management, ideally involving B2G, public sector, or regulated environments where the end user and the paying entity are different stakeholders.
- Strong analytical and strategic thinking skills, with the ability to translate complex data into actionable product strategies under high uncertainty and political sensitivity.
- Excellent leadership and communication skills, capable of leading cross-functional teams and collaborating with stakeholders ranging from engineers to government officials.
- Fluent in English. Proficiency in Armenian is a strong plus.
- Experience in healthcare, insurance, or government services is a plus, but not required.
- (As a plus) Ability to work with distributed teams and coordinate efforts across different geographical locations.
We are looking for someone who wants to build something meaningful from the ground up, with a high level of ownership and a lot of room to shape the role.
We hire people, not roles. If this opportunity speaks to you, we would love to hear from you.
Location: Barcelona, Spain
Workplace: hybrid
About seQura
seQura provides innovative, flexible and easy-to-use payment technologies that help merchants acquire, convert and retain more customers.
We make a difference in sales performance by tailoring our solutions to different sectors, to address their unique pain points and deliver superior results in Retail, Education, Eyewear, Repairs and Travel.
We also empower smart shopping to consumers who seek more value, convenience, and flexibility in their shopping, with new payment experiences that allow them to save, access interest-free credit, or pay in small, comfortable installments of up to 24 months.
Born in Barcelona, seQura is a privately-owned fintech, currently expanding throughout southern Europe and Latin America, growing above 50% CAGR.
Over 6000 businesses, almost 3 million shoppers, and almost 400 employees continue to rate us as one of the most loved and trusted fintechs out there, with an NPS of 87%, a Trustpilot rating of 4.7/5, and a Glassdoor rating of 4.1/5.
About the role
🤓
Data trust is becoming one of the most important challenges in the era of AI analytics.
Self-service analytics has always required strong foundations. Now, with the rise of LLMs and AI agents, the opportunity is bigger, but so is the risk. Pointing an AI assistant at a warehouse can create a false sense of precision if the underlying data model, definitions, documentation and ownership are not clear.
As a Data & AI Governance Specialist at seQura, you will help build the foundations that allow teams to find, trust, understand and apply data and AI safely, autonomously and responsibly.
You will work at the intersection of business, data, AI, legal, privacy and security teams, translating complex requirements into clear workflows, usable standards and technical solutions.
What challenges you'll be solving 🚀
Collaborate with domain stewards and analysts to maintain a unified data dictionary, clear business metric definitions and AI model documentation.
Partner with Core Data, Data Science & AI, Business and Engineering teams to implement automated data quality checks across pipelines, health and performance monitoring dashboards/alerts.
Manage and improve the data catalog, AI model inventory and model registry so assets are organized, searchable, well documented and easy to understand.
Help Data Champions and AI Owners succeed by giving them clear templates, training, tooling and documentation rather than relying on manual approval gates.
Act as the operational bridge between Legal, Privacy, Security and Data & AI teams to support GDPR, SOC 2 and EU AI Act readiness.
Champion a culture where quality and responsible AI are collective responsibilities, supported by automation, ownership and practical enablement.
About the Data team
🧩
Team mission
To amplify seQura’s value by enabling anyone to autonomously find, trust, understand and apply data and AI to make smarter decisions.
What we own
You will join the Data & AI Governance vertical, working closely with the Data Governance Lead, the wider Data & AI team and business stakeholders across seQura.
This team owns the foundations that make self-service analytics and responsible AI possible: metadata, documentation, ownership, quality standards, lineage, data and model discoverability, access governance and AI risk workflows.
How we work
Data is treated as a product
, with clear ownership, quality standards, and consumers.
Governance acts as an enablement layer
, rather than a blocker.
Self-service systems are prioritized
over manual approval processes.
Close collaboration with domain experts
helps turn business knowledge into reusable, trusted data assets.
What to expect in the next 90 days
🏁
Month 1
You will onboard into seQura’s Data & AI organization, understand how our data model, access groups and governance practices work today, and start researching the semantic layer foundations needed to support reliable AI-assisted analytics.
Month 2
You will start working on metadata and ontology graph initiatives, helping connect business concepts to the right data entities, definitions and ownership structures.
Month 3
You will contribute to warehouse optimization and access marketplace initiatives, helping make governed data assets easier to discover, request, use and maintain across teams.
Tech stack & environment
🛠️
You will work with tools and systems that support data cataloging, metadata management, self-service analytics, data quality, access governance and documentation.
What you’ll need 🤝
Must have:
Ability to translate business, legal or privacy requirements into practical solutions with technical teams.
2 to 5 years of hands-on experience in any of these areas: Data Governance, Data Quality Engineering, Analytics Engineering, AI Operations or a related area.
Experience working with data teams to implement policies, standards or governance practices in real systems.
Experience operating modern data catalog, metadata or documentation tools.
Strong communication skills across business stakeholders, technical data teams and legal or privacy teams.
Strong analytical ability to trace data quality issues back through pipelines, models or workflows and support root-cause resolution.
A self-service mindset: you prefer clear standards, automation and enablement over manual approval gates.
Nice to have:
Practical understanding of AI and ML lifecycles.
Experience with Generative AI application patterns.
Understanding of AI cataloging, model inventories or model registries.
Familiarity with AI bias detection or mitigation practices.
Working knowledge of foundational AI privacy and regulatory requirements, including the EU AI Act.
Experience with OpenMetadata, Metabase, Omni, Redshift, Claude or similar tools.
Experience supporting semantic layer, ontology graph, access marketplace or data ownership initiatives.
Working knowledge of foundational data privacy requirements such as GDPR and SOC 2.
What we offer 😎
We have a strong and sustainable foundation, where we provide a secure and reliable workplace. You have the freedom and trust to make the best contribution possible.
One of our most valued strengths by our employees is our fellowship and supportive culture, which fosters a sense of belonging by working closely with our values. With us, you will have challenging projects to work on and push your skills and knowledge.
In addition, we are very proud of the unique office we have, which offers a comfortable and inspiring environment to work in with everything you need.
23 vacation days + 2 days of free disposal per year.
Flexible compensation plan for transportation, restaurants, and kindergarten with Cobee.
Health insurance discounts
Flexible working hours.
A personal budget for professional development.
Office workshops and meet-ups to encourage community participation and career growth.
Hybrid work from Barcelona
Moreover, we have a
Wellness Program
that embraces a holistic approach by covering 6 areas (occupational, physical, financial, emotional, social, and environmental consciousness). Each area will include a variety of activities, and you'll be able to choose from 34 different activities that best meet your needs to configure a plan that best works for you.
Which are the next steps?
🙌
Interview with People Team
Hiring Manager interview
Technical take-home assessment
(async)
Live Peer review of the assessment
Meet the team
We kindly ask that you submit your
CV in English,
as it is the official language of our community.
We promote equal opportunity to all, regardless of age, color, gender identity, medical condition, physical or mental disability, race, religion, sexual orientation, or any other characteristic. We have an inclusive environment, and respect is above all.
Do you want to be part of the change? Join us!👇
Location: NZ: Wellington: Xero One (19-23 Taranaki St); AU: Melbourne: (260 Burwood Rd); NZ: Auckland: Xero 4 (96 St Georges Bay Rd, Level 2 & 3); AU: Sydney (45 Clarence St)
Workplace: Hybrid
The role / impact
This is a rare chance to shape how an entire technology organization works in the AI era. Rather than shipping another standalone AI feature, you'll build the shared platforms and operating models that make AI-native delivery possible across Xero, spanning AI harnesses that help teams build faster with the right guard rails, gateways that makes using models safe and efficient, and agents that help reduce toil.
You'll drive initiatives spanning across the full delivery lifecycle, combining strategy, execution and measurable organizational impact. You'll drive decision-making across products and teams, connect work happening in different phases of development, and train and coach others to build strong AI product practice. In line with our value to Go Bold, you'll set goals that stretch the team and help rethink, and not just solve, the problems in front of you.
The team / how they connect
This group shapes how products connect to Xero's wider AI strategy and objectives, and looks after the tools and ways of working that help thousands of Xeros deliver value. You'll build close relationships with Engineering, Security, Data and several other teams, keeping decisions joined up across the business.
The team is currently working on / Initially, you will focus on
- Building and scaling the shared capabilities behind Xero's AI-native delivery model.
- Aligning stakeholders on strategy and priorities, and setting baselines for adoption, delivery speed, cost, quality and technology health.
- Publishing quarterly roadmaps, operating model and governance approach for the initiatives.
- Moving the highest-value workflows from pilot into repeatable adoption
Where and how you can work
We support a flexible working model that empowers you to balance your professional and personal life. You will have the option to work in a hybrid capacity, combining the focus of remote work with the collaboration of our office spaces and team boost days to foster connection and alignment.
Here are some of the things we are looking for, for this role
- You bring strong platform product management experience, ideally across developer tools, infrastructure, data or AI.
- You think in systems, comfortably joining the dots across various phases and teams.
- Translating complex technical possibilities into clear outcomes and investment decisions comes naturally to you.
- Your approach to discovery, delivery and measurement is outcome-focused, and you know how to prove what's working.
- Ambiguity, evolving technology and incomplete information don't throw you off course.
- Curiosity and pragmatism sit alongside the resilience to turn early experiments into scalable products.
Apply even if your experience isn't a perfect match! At Xero, we hire based on your skills, passion, and the unique perspective you can bring to enhance our culture and team.
Location: Yerevan, Armenia
Sperasoft is looking for a talented, experienced 3D vegetation Artist who can create different types of plants and organic (trees, bushes, grass, etc.). If you are keen on vegetation creation and would like to be a part of a great team, working on new IP, we are waiting for you!
Responsibilities
Develop, maintain, and create real-time vegetation game assets going through full 3D pipeline (modeling, sculpting, texture creation, retopology, UV, etc.) in Unreal Engine 5;
Develop sets of plants for different biomes;
Analyze, plan, and collect references for the assets; work with concepts/references and according to the guideline;
Ensure a proper integration for every asset you create considering technical and gameplay constraints;
Obtain Lead Artists guidance and approval as required to advance tasks;
Continue to refine artistic abilities and learn new software packages and/or in-house tools;
Coordinate with Senior and/or Lead Artists with mentoring Junior 3D Artists as well as sharing best project practices with them;
Contribute to the team-oriented environment
Requirements
Experience in vegetation modelling in game industry;
Strong understanding of 3D modeling tools used in vegetation production (either 3D Max, Maya, Blender, ZBrush, Speed Tree or Houdini);
Strong understanding of Texture creation tools (either Photoshop, Substance Designer or Substance Painter)
Experience in any Game Engine, such as Unreal Engine 5, Unity or others is a plus;
High-poly sculpting in Zbrush is a plus;
Good understanding of modern pipelines and requirements for game development;
Teamwork skills;
A creative, collaborative and innovative mindset;
Excellent communication and interpersonal skills.
Benefits
Working with an international team of world-class professionals on exciting and challenging projects
Learning & Development opportunities – mentoring, lectures, participation at industry conferences and events
Medical Care package
Breakfasts, snacks and fruits available during the day, tea and coffee machines
Additional benefits – care bonus to cover health, educational and safety needs, corporate parties and team buildings and many more others
Location: San Francisco, CA; New York, NY
Workplace: OnSite
ABOUT US
Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia.
We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do.
Our co-founders are Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/. Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google’s AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace.
ABOUT THE FINANCIAL SERVICES TEAM
- Our financial services customers span systemically important banks, neobanks committed to building more delightful banking software (1 in 3 of the world's leading banks use Sierra!), insurers that provide protection for life’s most challenging moments, vertically integrated ecosystems like Rocket Companies, and more. The decisions we make impact millions of end customers and billions of dollars in economic activity.
- Our financial services team partners closely with these organizations to set their AI strategies and build modern tools that carefully handle moments when a person’s private anxiety meets an institution’s procedural muscle - the instant before a family learns whether they are pre-approved for a mortgage; the claustrophobic half hour after someone notices a fraudulent charge; the frustrating experience of losing a card and needing to order a new one.
- Sierra’s Financial Services team is transforming the customer experience and building technology that makes the industry more accessible, human, and affordable for everyone.
WHAT YOU'LL DO
- Build enterprise-grade AI agents: As an Agent PM at Sierra, you will be responsible for partnering directly with our engineers and customers to build and ship AI agents that handle thousands of customer conversations a day.
- Engage with customers: In the role, you will engage with all levels of our customers’ businesses:
- Discover and assess their requirements.
- Prepare and present demonstrations of Sierra’s agent.
- Address and overcome technical challenges in the business process by working with technical counterparts.
- Develop and improve Sierra virtual agents to fit and anticipate our customers’ needs and business processes.
- Become trusted advisors and drive strategic technical strategies for our customers.
- Shape the product roadmap: Work with Sierra’s engineering and product development teams to scope and implement new features essential to the success of your customers.
WHAT YOU'LL BRING
- 5-10+ years experience in product development of highly technical products.
- Past experience in Product Management or other similar product development roles at or above the level of Senior Product Manager.
- Experience in financial services, such as banking, fintech, lending, payments, insurance, mortgages, or wealth management.
- A track record of taking products from ambiguous customer problems through launch and meaningful scale.
- Strong technical fluency and the ability to reason about APIs, data flows, system architecture, AI systems, integrations, and failure modes.
- Exceptional product judgment, including the ability to balance customer needs, speed, reliability, risk, and long-term platform leverage.
- Experience working directly with enterprise customers and communicating effectively with both executives and deeply technical teams.
- A builder mindset: you prototype, investigate, and work hands-on rather than relying solely on process.
- Clear, structured communication, with the ability to explain complex technical and AI concepts to diverse audiences and create alignment in fast-moving, ambiguous environments.
- Degree in a technical or related field, or equivalent professional experience.
EVEN BETTER...
- AI-related experience (experience with product development for AI agents a plus).
- Some coding experience with React, Typescript, and Go.
- MBA or equivalent professional experience (while this is a product management role, you will have the opportunity to lean into broader business roles).
- Past roles that interface with end customers to influence software development.
OUR VALUES
- Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work.
- Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it.
- Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve.
- Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time.
- Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements.
WHAT WE OFFER
We want our benefits to reflect our values and offer the following to full-time employees:
- Flexible (unlimited) paid time off
- Medical, dental, and vision benefits for you and your family
- Life insurance and disability benefits
- Retirement plan dependent on country of employment
- Parental leave
- Fertility and family building benefits through Carrot
- Lunch, as well as delicious snacks and coffee to keep you energized
- Discretionary benefit stipend giving people the ability to spend where it matters most
- Free alphorn lessons
These benefits are further detailed in Sierra's policies, may vary by region, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies.
BE YOU, WITH US
We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply even if your experience doesn't precisely match the job description. We strive to evaluate all applicants consistently without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.
Location: Dammam, Saudi Arabia
Job Purpose
Responsible for managing and controlling project
schedule, cost, progress, performance, and reporting
to ensure successful delivery of Oil & Gas projects within the approved time and budget.
Key Responsibilities
Lead and manage the Project Controls team covering
Planning, Scheduling, Cost Control, Progress Measurement, and Reporting
.
Develop and maintain the integrated project schedule using
Primavera P6
.
Establish and monitor project
schedule and cost baselines
.
Monitor actual progress, productivity, costs, commitments, and forecast against the approved plan.
Prepare
weekly/monthly progress reports, dashboards, forecasts, EAC/ETC, and variance analysis
.
Monitor critical path, schedule risks, delays, trends, and recovery plans.
Manage
change control, trends, and schedule/cost impacts
.
Review contractor/subcontractor schedules, progress, and cost reports.
Coordinate with Engineering, Procurement, Construction, Commissioning, Commercial, and Project Management teams.
Provide management with accurate performance analysis and recommendations for corrective actions.
Ensure compliance with project procedures, contractual requirements, and applicable Oil & Gas standards.
Mandatory Qualifications & Experience
Bachelor’s degree in
Engineering, Project Management, Construction Management, or related discipline
.
5+ years of relevant experience
in Project Controls, preferably within Oil & Gas/EPC projects.
Strong experience in
Primavera P6, Cost Control, Progress Measurement, EVM, Forecasting, and Reporting
.
Proven experience managing multidisciplinary Project Controls teams.
Experience with
EPC contractors, subcontractors, and major Oil & Gas projects
.
Strong knowledge of
WBS/CBS, KPI reporting, change management, delay analysis, EAC/ETC, and cash-flow forecasting
.
Excellent leadership, analytical, communication, and stakeholder-management skills.
Location: San Francisco; Remote; Toronto; New York; Montreal; Seattle
Workplace: Hybrid
ABOUT BASETEN
Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products.
THE ROLE
The Model Performance organization at Baseten is looking to hire our first Technical Program Manager. This is a zero-to-one role in a team that is responsible for building the core algorithms and methods that power Baseten’s high performance inference stack. You won't inherit an existing program framework, you'll build one from the ground up: the planning structure, execution processes, metrics and the cross-functional alignment that a fast-growing organization needs. Your contributions will directly impact how fast our performance R&D gets productized. If you can drive turning a set of ambitious but loosely defined initiatives into a predictable, well-governed program, this role is for you.
EXAMPLE INITIATIVES
Take a look at these blog posts written by members of our Model Performance team:
- How to build a day-0 API for Kimi K3 https://www.baseten.co/blog/how-to-build-a-day-zero-api-for-kimi-k3/
- How we built the new fastest API for GLM-5.2 https://www.baseten.co/blog/how-we-built-the-new-fastest-api-for-glm-52/
- Inference engineering for DeepSeek V4 Pro 0813 https://www.baseten.co/blog/inference-engineering-for-deepseek-v4-pro-0813/
RESPONSIBILITIES
- Own execution across Model Performance's active project portfolio, freeing the team's technical leads to focus on technical direction rather than tracking.
- Design and stand up the planning structures, operating cadences, and status reporting mechanisms that best fits the team’s DNA.
- Coordinate model release and optimization programs end to end, including day-zero launches, sequencing the work across performance engineering, infra, and release stakeholders.
- Drive cross-team alignment as scope expands from Model Performance Core into Model APIs and the inference production stack (BIS).
- Surface risks and dependencies early, and keep leadership informed with clear, honest status.
- Partner with engineering leads to design team structures and ownership boundaries as the org scales.
REQUIREMENTS
- Deep technical program management experience - you're already running programs of this scope at an organization of similar or greater complexity.
- Experience program-managing model performance or inference optimization work - you understand how engines like vLLM, TensorRT-LLM, SGLang, or NVIDIA Dynamo fit into a production serving stack and can engage credibly with the engineers building on them.
- Demonstrated comfort with ambiguity and zero-to-one program building, not just executing an existing framework.
- Proven ability to influence without authority across engineers, managers, and leadership who don't report to you.
- Excellent written and verbal communication, with the ability to make deeply technical programs legible to any audience.
- High agency decision making that demonstrates ownership, accountability and a strong desire to get things done.
NICE TO HAVE
- Experience coordinating model release programs, including day-zero launches (ideally for large-scale models).
- Prior hands-on software engineering background.
- Deep learning performance optimization background, in training or inference, with inference preferred.
BENEFITS
- Competitive compensation, including meaningful equity
- (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents
- Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)
- Paid parental leave
- Fertility and family-building stipend through Carrot
- (U.S. only) Company-facilitated 401(k)
- Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.
Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.
At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.
We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).
Задачи:
— Проектирование и разработка микросервисной архитектуры на Java 17+ с использованием Spring Boot (MVC, Data JPA, Security)
— Построение пайплайнов Retrieval-Augmented Generation (RAG): от парсинга сырых данных до индексации эмбеддингов
— Разработка и поддержка векторных баз данных Qdrant: проектирование схем шардирования, настройка гибридного поиска (BM25 + Dense Vectors) и оптимизация запросов
— Создание мультиагентных систем на базе LangChain/LangGraph для автоматизации бизнес-процессов
— Глубокий промт-инжиниринг: написание промптов под разные сценарии одного агента, техники Few-shot, Chain-of-Thought, структурированный вывод (JSON mode)
— Отладка семантики моделей: снижение энтропии ответов, управление вариативностью через параметры инференса, механизмы self-healing при деградации внешних провайдеров LLM
— Оптимизация производительности PostgreSQL: тюнинг сложных SQL-запросов, работа с индексами (B-tree, GIN/GIST, триграммы), проектирование транзакционной изоляции
— Вынос вычислений в контейнерную среду: Docker, Kubernetes (Helm), построение отказоустойчивых CI/CD-конвейеров в GitLab CI/Jenkins
Требования:
— Уверенное владение Java 17+, понимание многопоточности (CompletableFuture, виртуальные потоки Project Loom — будет плюсом)
— Экспертный уровень владения стеком Spring: жизненный цикл бинов, аспектно-ориентированное программирование, тонкая настройка пулов соединений БД и параметров безопасности
— Опыт проектирования реляционных моделей в PostgreSQL, умение читать EXPLAIN ANALYZE, эффективные миграции (Liquibase/Flyway)
— Практический опыт работы с векторными СУБД (Qdrant) или Weaviate/Pinecone/Milvus, понимание метрик близости (Cosine Similarity, Dot Product, Euclidean Distance)
— Опыт разработки с библиотеками LangChain и/или LangGraph, построение графов состояний, интеграция внешних инструментов (tool calling)
— Навык написания эффективных промптов (Prompt Engineering) и управления поведением LLM без изменения весов модели
— Опыт работы с Docker и Kubernetes (манифесты, Helm-чарты), знание Linux shell на уровне уверенного пользователя
— Настроенные процессы CI/CD (GitLab CI или Jenkins): сборка Maven/Gradle, покрытие тестами (JUnit 5, Testcontainers), статический анализ кода
Location: San Francisco, CA | New York City, NY | Washington, DC
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
As an Enforcement Lead, you will be responsible for managing and executing enforcement actions across our products and services, with a focus on detecting and mitigating attempts to misuse Anthropic's AI systems for malicious cyber operations. Your work will center on developing strategic enforcement frameworks for flagged activity related to cyberattacks, malware development, and offensive exploitation. Additionally, you will manage a team of Cyber Enforcement Analysts and contractors implementing this enforcement strategy.
Safety is core to our mission, and you'll help uphold policy enforcement so that our users can safely interact with and build on top of our products in a harmless, helpful, and honest way.
Important context for this role: In this position you may be exposed to and engage with explicit content spanning a range of topics, including those of a violent, technical, or psychologically disturbing nature. This role may require responding to escalations during weekends and holidays.
Key responsibilities
Manage a team of Cyber Enforcement Analysts and contractors, overseeing the vision of Cyber Enforcement strategy
Create strategies to detect and mitigate potential misuse of AI systems to facilitate cyberattacks, malware creation, exploitation tooling, and related harmful cyber operations
Collaborate with stakeholders regarding novel, ambiguous, or high-severity cases
Collaborate with the Safeguards Policy Design Team on policy gaps surfaced through real enforcement scenarios
Partner with Engineering and Data Science teams to ensure tooling and measurement support enforcement operations.
Keep up to date with emerging AI policy enforcement best practices, threat actor tactics, and the evolving cyber threat landscape, using these to inform enforcement decisions
Minimum qualifications
Experience as a people manager
Experience in cybersecurity, including knowledge of offensive techniques, exploit development, malware analysis, or vulnerability research
Experience performing content review, abuse investigations, or policy enforcement at volume
Proficiency in SQL and/or Python for data analysis and threat detection
Experience identifying emerging risks and communicating findings to a diverse set of stakeholders, such as Product, Policy, Engineering, and Legal teams
Experience working with generative AI products, including writing effective prompts for content review and enforcement
Preferred qualifications
Experience in trust & safety, abuse investigations, cybersecurity investigations, or threat intelligence in a technology or AI company
Experience with large language models and an understanding of how AI technology could be misused for cyber operations
Experience operating within abuse monitoring programs or enforcement review systems
Understanding of the challenges involved in implementing product policies at scale, including in the content moderation space
Experience working with government agencies, regulated environments, or information sharing communities
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$285,000
—
$330,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: 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 an Account Executive at Anthropic, you'll drive the adoption of safe, frontier AI by securing strategic deals with top digital native enterprises, unlocking new value streams throughout their business. You'll leverage your consultative sales expertise to propel revenue growth while becoming a trusted partner to customers, helping them embed and deploy AI while uncovering its full range of capabilities. In collaboration with GTM, product, and marketing teams, you'll continuously refine our value proposition, sales methodology, and market positioning to ensure differentiated value across the landscape.
The ideal candidate will have a passion for developing new market segments, pinpointing high-potential opportunities, and executing strategies to capture them. By driving deployment of Anthropic's emerging products, you will help enterprises obtain new capabilities while also advancing the ethical development of AI.
Responsibilities:
Win new business and drive revenue within a book of strategic digital native accounts. Own the full sales cycle from prospecting to close, identifying and developing new opportunities across multiple business units and use cases
Navigate complex organizational structures and build consensus among diverse stakeholder groups. Develop multi-threaded relationships from individual contributors to C-suite executives
Design and execute innovative sales strategies to meet and exceed revenue quotas. Analyze your account's landscape, trends, and dynamics to translate high-level plans into targeted sales activities and campaigns
Spearhead expansion by pinpointing new use cases and business units. Collaborate cross-functionally to differentiate our offerings and sustain a competitive edge within your strategic account
Own sophisticated deal cycles involving multiple stakeholders, technical evaluations, and complex procurement processes. Demonstrate resourcefulness when faced with challenges that defy easy solution
Build and maintain accurate pipeline forecasting while ensuring high forecast accuracy and consistency. Identify robust set of business drivers behind all opportunities
Inform product roadmaps and features by gathering customer feedback and conveying market needs. Provide insights that strengthen our value proposition and enhance the customer experience
Continuously refine the sales methodology by incorporating learnings into playbooks, templates, and best practices. Identify process improvements that optimize sales productivity and consistency
You may be a good fit if you have:
10+ years of enterprise sales experience with a proven track record of closing complex deals with strategic accounts. Experience managing sophisticated sales cycles and securing deals with extended timelines and multiple stakeholders
Experience selling emerging technologies or complex solutions to large digital native companies. Ability to navigate technical evaluations and translate complex capabilities into business value
A strong executive presence with demonstrated ability to engage C-suite executives and senior stakeholders. Experience presenting to boards and aligning solutions with strategic business initiatives
Exceptional relationship building skills with proven ability to develop multi-threaded relationships across large organizations. Experience building consensus among diverse stakeholder groups
A consultative sales approach with focus on understanding customer business challenges and crafting tailored solutions. Ability to position yourself as a strategic advisor rather than a vendor
Strong cross-functional collaboration skills with an ability to mobilize internal resources including product, engineering, and partnership teams. Experience coordinating complex deals that require multiple internal stakeholders
Resourcefulness and problem-solving abilities when faced with complex challenges. Demonstrated ability to navigate ambiguous situations and find creative solutions
A high level of organization and attention to detail with strong forecasting accuracy. Ability to manage multiple complex opportunities simultaneously
A passion for AI and emerging technologies with enthusiasm for helping organizations transform through responsible AI deployment. Strong alignment with Anthropic's mission of developing safe, beneficial AI systems
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$380,000
—
$450,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: San Francisco, CA | New York City, NY
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
Anthropic is seeking a Regulatory Counsel to lead our legal work on AI regulation in the United States and to support our global AI regulatory posture.
In this role, you will be an in-house regulatory lawyer for Anthropic's US AI regulation and a key contributor to our global frontier AI compliance strategy. You will provide regulatory-readiness counseling as new laws are developed, day-to-day advice once they are in force, and legal support for Anthropic's non-contentious engagement with US regulators and standards bodies. While the role is US-focused, AI regulation is inherently global: you will help ensure a consistent worldwide compliance posture, coordinate closely with colleagues leading our EU and international workstreams, and contribute to EU AI Act and other international work where it overlaps with your areas. You will work at the intersection of novel legal questions, fast-moving product development, and a high-profile regulatory environment, cross-functionally with Legal, Compliance, Safeguards, Security, Policy, Research, and product teams.
Key responsibilities
Serve as one of Anthropic's lead in-house regulatory counsel for US AI regulation, covering applicability analysis, readiness, day-to-day advice, and compliance-program design
Own US regulatory compliance deliverables end to end, such as published safety and transparency frameworks, model documentation obligations, and incident-reporting requirements
Track legislative, regulatory, and standards developments across US federal and state jurisdictions (and internationally where relevant), assess applicability and impact on Anthropic's business and products, and design compliance approaches well in advance of obligations taking effect
Counsel legal, compliance, safety, security, and business teams on day-to-day regulatory questions once laws are in force, translating complex and often ambiguous requirements into practical guidance and scalable compliance programs
Support Anthropic's engagement with US AI regulators, enforcement agencies, and standards bodies — including notifications, information requests, reporting obligations, and voluntary framework and standards processes — in close partnership with Policy
Partner with Anthropic's Policy and Policy Legal teams on pre-legislative and rulemaking engagement, including comment letters and regulatory submissions, translating policy positions into legally-grounded regulatory positions
Partner with Anthropic's Litigation and Regulatory Investigations Legal teams on litigation and regulatory enforcement concerning AI regulation
Contribute to Anthropic's global frontier AI regulatory work where it intersects with US obligations
Minimum qualifications
JD from an accredited law school and active membership in at least one US state bar
Hands-on experience advising a technology business (in-house or at a leading law firm) on emerging regulatory regimes, including taking questions from first read of a statute through to a documented compliance position and a shipped artifact
Experience engaging with regulators, enforcement agencies, or standards bodies in a non-contentious supervisory capacity
Experience drafting regulatory compliance deliverables, such as compliance policies, regulatory submissions, or published compliance frameworks
Ability to communicate complex legal concepts clearly to technical, policy, product, and business audiences
Preferred qualifications
8–12 years of regulatory legal experience, with substantive depth in technology regulation and hands-on exposure to AI-specific frameworks
Direct experience with frontier AI regulatory regimes — California SB 53, the Colorado AI Act, or comparable state laws; or the EU AI Act and GPAI Code of Practice
Experience at a frontier AI company, large technology platform, or other hyper-scaling technology business operating under novel regulatory regimes
Familiarity with adjacent laws that intersect with AI regulation — e.g., privacy and data protection, consumer protection, product safety, and export controls
Familiarity with model evaluation, capability testing, or AI safety concepts
A background that combines private practice and in-house experience
Comfort with ambiguity and the ability to develop novel compliance approaches in areas without established precedent
Strong organizational skills to run several workstreams in parallel and keep compliance artifacts current without prompting
Excellence at cross-functional collaboration
Passion for responsible AI development and getting the balance right between innovation and appropriate safeguards
Understanding of how to build constructive long-term relationships with regulators and standards bodies
Role-specific policy: For this role, we expect all staff to be able to work from our San Francisco or New York office at least 3 days a week, though we encourage you to apply even if you might need some flexibility for an interim period of time.
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$335,000
—
$385,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: 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 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
A large and growing share of Claude usage reaches customers through our cloud partners — Amazon Bedrock, Google Cloud's Agent Platform, and Microsoft Foundry. These surfaces require bespoke solutions so our approaches have to be designed for third-party distribution from the start. In this role you will own how Anthropic's model safeguards, fraud defenses, and compliance posture show up on every cloud.
Responsibilities:
Model Safety Across Clouds
Own the multi-cloud strategy and roadmap for our safeguards — data retention, automated review, human review, and enforcement — designed to fit each partner's operating model
Design product experiences and operations paths for managing eligibility criteria, verification paths, and the controls attached to differentiated capabilities for higher-trust organizations
Build threat-intelligence sharing with AWS, Google, and Microsoft so misuse is detected and acted on consistently across surfaces
Drive our transparency commitments to customers and partners on data access, review, and enforcement
Fraud & Abuse
Own fraud and abuse defenses for partner-sold offerings: bot and mass-registration abuse, pre- and post-sale risk controls, and chargebacks where the partner owns billing
Define the fraud signals we exchange with each cloud partner and turn them into product requirements that influence growth initiatives
Cross-functional Leadership
Engage directly with enterprise security, risk, and compliance leaders to understand their requirements and turn them into roadmap priorities
Be Anthropic's product counterpart to trust & safety, security, and compliance teams at AWS, Google, and Microsoft
Work with Safeguards, Inference, Policy, Security, Legal, and multi-cloud engineering to ship one coherent set of controls across three clouds
Partner with sales and partnerships to support enterprise evaluations where data-handling and safety requirements are decisive
Work with marketing and partner teams on how we position our safeguards externally
Minimum requirements:
Have 10+ years of experience.
Have 5+ years of product experience in platform product roles on high-scale, enterprise- or developer-facing software.
Operate with high autonomy in ambiguous, fast-moving environments, with a track record of executing across teams and organizations.
Are an excellent written communicator and able to drive clarity out of complexity.
Are equally fluent in policy nuance and systems detail, and can explain the tradeoff between them to lawyers, engineers, go to market teams, and partner executives alike.
Preferred requirements
Prior product experience in trust & safety, security, privacy, or compliance.
Have built or shipped products with a hyper-scaler as a partner — you know how to align strategic goals and deliver impact over multiple quarters in partnership with an external third party
Have owned a top line revenue target while being held to counter-risk outcome — a fraud-loss number, an abuse rate, a compliance authorization, an enforcement program — not just a product roadmap.
Direct experience on a trust & safety, fraud, or security product team at AWS, GCP, or Azure — or at an ISV that ships through one of their marketplaces.
Background in AI safety, content moderation, or abuse-detection systems.
Designed incident-response or escalation processes that span more than one company.
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$305,000
—
$385,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: New York HQ
Workplace: OnSite
ABOUT AVOCA
Avoca is transforming how home service companies engage with their customers. Our AI-powered conversational agents handle every high-value inbound call, from booking jobs, qualifying leads, and driving higher revenue, all at a speed and consistency unmatched by human call centers.
We're a Series B startup backed by Kleiner Perkins, Meritech Capital, General Catalyst, and other top-tier investors, with $125M raised and a $1B valuation. We grew 10x in 2025 and have scaled to 170+ employees in under two years across our NYC headquarters and Santa Barbara office.
In a $1T+ market where 85% of missed calls go to competitors, we're building the category-defining platform for AI-driven customer engagement, serving the largest brands in home services. With high-energy, in-office teams in both locations, every hire here has an immediate and visible impact.
ABOUT THE ROLE
We’re hiring a Growth Lead, Performance to build and scale the acquisition engine that powers Avoca’s next stage of growth.
Your initial focus will be building and scaling our paid acquisition channels, starting with paid social and paid search, into meaningful sources of qualified pipeline. You’ll own these channels end to end: from strategy and execution to creative testing, conversion, measurement, and optimization.
But your mandate won’t stop at paid acquisition. We’re looking for a growth builder with broad demand generation instincts who can identify new opportunities, build channels from scratch, and turn what works into repeatable engines. You’re equally comfortable setting strategy and getting into the details of a campaign, creative concept, landing page, or experiment.
The scope is wide and the whitespace is real. We’re looking for a smart, high-agency person who builds their own leverage. You’ll report directly to the Head of Growth and work on the company’s highest-priority channels and growth bets.
WHAT YOU'LL DO
- Build and scale paid social and paid search into major revenue drivers for our business
- Own paid acquisition end to end, including strategy, execution, budget allocation, creative testing, conversion, measurement, and optimization
- Build a high-velocity experimentation engine across audiences, messaging, creative, offers, and landing pages
- Translate customer insights and performance data into campaigns that resonate with home services operators and drive qualified pipeline
- Set performance targets and allocate investment based on pipeline, CAC, channel efficiency, and revenue
- Partner closely with Sales, RevOps, Product Marketing to ensure a tight feedback loop on ICPs, lead quality, SLAs and pipeline handoff process
- Use AI and automation to increase the speed and quality of campaign development, analysis, and experimentation
- Identify, test, and scale growth channels beyond paid acquisition, turning the most promising opportunities into repeatable growth engines
WHAT YOU’LL BRING
- 5+ years of experience in performance marketing, growth marketing, or demand generation, ideally at a fast-growing B2B technology company
- A strong track record of personally building and scaling paid social programs, with deep expertise in Meta
- Strong paid search experience and fluency across the acquisition funnel, from media and creative through conversion and measurement
- Experience owning meaningful budgets and making investment decisions based on pipeline quality, marginal efficiency, and growth potential
- A history of managing toward qualified pipeline and revenue, not just leads, clicks, or platform-reported conversions
- Strong analytical and creative instincts, with the ability to turn customer insight and performance data into clear hypotheses and compelling campaigns
- Broad growth experience and the ability to build, test, and scale channels beyond paid media
- Fluency with AI tools and a bias toward using automation to increase your output and learning velocity
WHO YOU ARE
- You’re a builder who wants to own both the work and the outcome, from setting the strategy to launching and optimizing the campaign
- You have deep performance marketing expertise, but you don’t define yourself solely by paid media — you’re energized by finding and building whatever channel can move the number
- You think in terms of qualified pipeline, CAC, and revenue while caring deeply about the details that drive them
- You combine analytical rigor with strong creative judgment and understand that the message and offer matter as much as the media plan
- You move quickly, run disciplined experiments, and make clear decisions even when the data is imperfect
- You create clarity in ambiguous situations and don’t need an established playbook, a large team, or perfect information to make progress
- You’re curious, resourceful, and willing to roll up your sleeves — no task is too small when it helps move the company forward
- You want to work in person in NYC with an ambitious team that moves quickly and holds a high bar
BONUS POINTS
- Experience marketing to mid-market buyers in a high-velocity sales motion
- Experience in vertical SaaS or home services
- A track record of building new growth channels from zero and scaling into meaningful sources of pipeline
BENEFITS
- Comprehensive medical, dental, and vision insurance
- Company-sponsored 401(k) through Vestwell
- Flexible PTO plus U.S. federal holidays
- Company-wide off-sites
- Daily in-office lunch through Parkday
- Dinner covered when working late
- Commuter benefits and late-night rideshare
- Standing desks and workspace accommodations available on request
- All core tools and software provided
Compensation: The expected on target earnings for this role is $160,000–$210,000, with final compensation based on experience, skills, and qualifications determined during the interview process. Avoca's total compensation package includes base salary, bonus, equity, and a comprehensive suite of benefits and perks. Our Recruiting team will share the full details as you progress through our hiring process.
WHY AVOCA
At Avoca, you’ll be part of a team that’s building a category-defining company at the center of a massive market opportunity. We’re a fast-moving, collaborative team with a culture designed for builders who thrive on speed, iteration, and impact.
Avoca provides equal employment opportunities to applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability.
Location: San Francisco, California
Workplace: Hybrid
ABOUT SENTRY
Software runs the world and the pace is faster than ever. Sentry helps developers fix errors and performance issues before users notice, so teams can spend less time firefighting and more time building.
Trusted by 200,000+ organizations, Sentry is today’s application monitoring standard and our team is building its AI-native future.
About the role
Sentry is looking for a talented Technical Enablement Director to help drive usage and adoption of our platform through education and enablement. This position will be responsible for strategy, planning, and end-to-end execution of training and educational programs, both internal for our employees, and external for our customers and partners.
You are part product evangelist, part multimedia content producer, part teacher who loves to inspire and educate customers. You are a dynamic, thoughtful, creative professional who can translate technology with compelling stories, and uses analytical skills to drive continuous improvement.
You will partner closely with cross-functional stakeholders including Marketing, Product, Engineering, and Design. This is a uniquely strategic and operational role with a mix of both internal and external responsibilities.
This role requires strong technical expertise and a deep understanding of the Software Development Life Cycle (SDLC) and related technologies. If you’re a technologist with experience working with technical products in customer-facing roles—and you’re eager to join a fast-growing team delivering real value through an exceptional product—we’d love to meet you.
In this role you will:
- Become a Sentry product expert: be intimately familiar all product capabilities, and how how customers are using the product
- Own the Sentry University virtual learning platform: prepare the curriculum, build the different learning units, create the content, and manage the overall user experience
- Create a comprehensive training strategy to enable our customers to quickly ramp on our platform, and accelerate their TTV
- Build out and operationalize an engaging certification program for customers, partners, and employees.
- Design and own all end-user training content that will be used by CSMs and SEs to deliver to our customers and prospects
- Create and deliver an instructor-led training curriculum that would inspire customers to use our product, through virtual group training, and in-person workshops (when it’s safe to travel!)
- Work in close partnership with sales and marketing to track progress of leads within the Sentry University
- Collaborate with Product and Engineering to ensure the enablement materials are always up to date, continuously update as needed, and meet standards of company branding, messaging and design.
- Develop programs and training materials to drive the onboarding and ongoing technical enablement of our technical customer facing teams for topics related to our space (logging, monitoring, cloud, etc).
- Develop KPIs that measure adoption and effectiveness of the training programs.
You’ll love this job if you:
- Enjoy talking about technology and interfacing with engineers and engineering leaders
- Are looking to make an impact in the life of our customers through teaching them how use our product to achieve their business and technical goals
- Appreciate working on a variety of projects with different stakeholders
- Like being “in the middle of it all”, working across the organization to move the product forward
- Have a fast-paced, results-driven mindset
- Love developer tools, open-source, and/or all things software development life cycle
Qualifications
- Strong knowledge in the application monitoring field
- 5+ year experience in technical training development and delivery
- BA/BS degree in CS or Computer Engineering-related field or equivalent experience is mandatory
- Strong verbal and written communications skills with an ability to build rapport and credibility with technical and business audiences
- Strong presentation skills
- Significant experience working with customers and partners, both remotely and in person
- Ability to think out of the box to develop structured training plans, actions, and measurable metrics
- Experience leveraging various learning tools and media to provide optimal learning
EQUAL OPPORTUNITY AT SENTRY
Sentry is committed to providing equal employment opportunities to its employees and candidates for employment regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, or other legally-protected characteristic. This commitment includes the provision of reasonable accommodations to employees and candidates for employment with physical or mental disabilities who require such accommodations in order to (a) perform the essential functions of their jobs, or (b) seek employment with Sentry. We strive to build a diverse team, with an inclusive culture where every teammate can thrive. Sentry is an open-source company because we believe that everyone, everywhere, should have the ability and tools to make great software. Software should be accessible. That starts with making our industry accessible.
If you need assistance or an accommodation due to a disability, you may contact us at accommodations@sentry.io.
Want to learn more about how Sentry handles applicant data? Get the details in our Applicant Privacy Policy https://sentry.io/careers/applicantprivacy/.
Location: Remote; Remote or Boston, MA
Workplace: remote
Arcadia is dedicated to happier, healthier days for all. We believe that there is a better healthcare world – one powered by data. Our platform transforms complex, diverse data into a unified foundation for health, helping organizations deliver better care, boost revenue, and lower costs.
We're a team of fiercely driven individuals committed to making healthcare more sustainable—and we're looking for passionate people to help us get there.
For more information, visit arcadia.io.
Why this role is important to Arcadia
Arcadia is building a direct-to–Life Sciences commercial function as a strategic growth pillar of the company. The Director, Business Development - Life Sciences is an individual contributor seller responsible for building and closing enterprise relationships with pharmaceutical and biotechnology companies within an assigned account territory.
This is a true end-to-end selling role. You will prospect and develop new opportunities, lead discovery conversations with scientific and commercial stakeholders, scope and price solutions, negotiate contracts, and partner closely with internal teams to ensure successful delivery and long-term client satisfaction.
This role is designed for a life sciences seller with fluency in real-world data, analytics, and evidence-based solutions—someone who understands how pharma organizations buy across the development lifecycle and who wants to build a durable book of business inside Arcadia's growing direct Life Sciences sales organization.
What Success Looks Like
In 3 months
Build a deep understanding of Arcadia's Life Sciences data, solutions, operating model, and delivery capabilities
Establish credibility and working rhythm with Product, Data, Ops, Delivery, Legal, and Finance
Build a qualified pipeline within your assigned account territory, leveraging existing relationships and Arcadia's differentiated data assets
Complete onboarding on Arcadia's Life Sciences value narrative, competitive positioning, and pricing framework
In 6 months
Advance a meaningful, qualified pipeline aligned to pharma planning and budgeting cycles
Close at least one deal or be in late-stage contracting on priority opportunities
Demonstrate strong deal scoping discipline with smooth handoffs into delivery
Maintain accurate CRM hygiene and deliver a reliable forecast to your manager
In 12 months
Consistently attain quota with a 3-5x quota, well-qualified pipeline across your territory
Close multiple deals with clear expansion potential, including at least one multi-year or enterprise agreement
Build strong relationships with scientific, commercial, and procurement stakeholders where Arcadia is viewed as a trusted partner
Provide market feedback that influences packaging, pricing, or roadmap prioritization
What You'll Be Doing
PROSPECT AND BUILD A QUALIFIED LIFE SCIENCES PIPELINE
Proactively build pipeline in a green-field or assigned Life Sciences territory using conference presence, publication monitoring, thought leadership networks, hunting via warm and cold outreach, leveraging of BDR Team, and CRO or consultancy partnerships
Identify and prioritize high-probability targets using a defined ideal customer profile: company size, therapeutic area focus, pipeline stage, and recent approvals
Map multi-threaded stakeholder ecosystems across R&D, HEOR, medical, market access, and commercial teams at target accounts
Maintain rigorous pipeline hygiene using a defined qualification methodology (e.g., MEDDIC, MEDDPICC, or BANT) to advance or deprioritize opportunities
LEAD SOLUTION SELLING ACROSS THE PHARMA DEVELOPMENT LIFECYCLE
Lead discovery conversations across early research, clinical development, HEOR/RWE, market access, and commercial analytics
Translate complex client needs into well-scoped solutions that balance data, analytics, services, and delivery realities
Guide clients toward use cases where Arcadia can deliver outsized value, not lowest-friction data transactions
Align solutions to client budgeting and planning cycles, including annual and multi-year funding processes
CONDUCT CONSULTATIVE, VALUE-BASED SELLING
Lead structured discovery that surfaces business problems and internal success metrics before any product discussion
Build ROI and business cases using the customer's own metrics and language, validated by the scientific or commercial champion
Adapt selling approach and content to the buyer persona and Use Case - modulating message and proof points accordingly
NEGOTIATE AND CLOSE COMMERCIAL AGREEMENTS
Structure enterprise data agreements—licensing, DUAs, MSAs, usage-based pricing—that protect margin while delivering clear buyer value
Exercise strong commercial judgment on deal structure, pricing, and scope, with a clear negotiating position and walk-away point on every deal
Respond to procurement pressure by re-anchoring to validated scientific and commercial value rather than discounting immediately
Own the full lifecycle:
Opportunity qualification
Solution design and scoping
Proposal and SOW development
Pricing and commercial structuring
Contract negotiation and close
Partner closely with legal, finance, and leadership to finalize terms efficiently
COLLABORATE ACROSS TEAMS AND MAINTAIN FORECAST DISCIPLINE
Partner effectively with data science, medical, product, legal, and delivery teams to configure and present solutions that meet complex customer requirements
Orchestrate internal resources without over-committing them, and manage a clean handoff to delivery and customer success to protect revenue
Maintain accurate, up-to-date CRM records and deliver reliable forecasts, distinguishing clearly between commit, best case, and pipeline
Contribute market and competitive feedback that informs product roadmap, packaging, and pricing decisions
What You'll Bring
5+ years of experience selling into pharmaceutical and/or biotechnology companies, ideally in a quota-carrying, individual contributor role
Demonstrated success selling data-, analytics-, or evidence-driven solutions (RWD, RWE/HEOR, clinical analytics, or adjacent offerings)
Deep working knowledge of Life Sciences functional area—HEOR, Medical Affairs, Clinical Development, or Payer/Market Access—including how that function makes decisions and purchases data and analytics solutions
Proven ability to engage scientific buyers (PhDs, MDs, biostatisticians, epidemiologists) with credibility on
methodology
, study design, and data fit-for-purpose
Experience structuring and negotiating enterprise data licensing agreements, including DUAs, MSAs, and usage-based pricing models
A disciplined approach to pipeline management and forecasting, using a defined qualification
methodology
Strong cross-functional collaboration skills and comfort
operating
in a build-mode commercial environment
Would Love For You To Have
Existing senior relationships within pharma or biotech that can accelerate early pipeline development
Familiarity with FDA RWE Framework, EMA guidance, or ISPOR methodology standards
Experience selling into more than one Life Sciences functional area (e.g., both HEOR and Medical Affairs)
Active presence in relevant industry conferences (ISPOR, ASCO, ASH, DIA, AMCP) and referral relationships with CROs or HEOR consultancies
MEDDIC or MEDDPICC certification, or equivalent formal sales methodology training
What You'll Get
Arcadia brings a rare advantage to Life Sciences: a
market-leading, scaled payer and provider platform
as its foundation
For more than a decade, Arcadia has been the trusted data and analytics partner to health systems, physician groups, and payers nationwide. That core business provides deep, longitudinal clinical and claims data, embedded clinical workflows, and durable relationships across the healthcare ecosystem
Building on this foundation, Arcadia has assembled a large, de-identified real-world dataset combining claims and clinically rich EHR data sourced directly from provider systems. The result is a longitudinal, research-grade asset with depth and clinical context that is difficult to replicate through aggregation alone
Life Sciences is a strategic pillar built on this foundation. Arcadia has made a deliberate, multi-year investment in:
Purpose-built real-world data assets
Clinically connected solutions that link insight back into provider workflows
A growing research and collaboration ecosystem to expand data use rights
Dedicated leadership, product, data, and operational resources
The opportunity is to sell—and help shape—solutions that connect
data, analytics, and real-world clinical activation
across the pharma development lifecycle, backed by enterprise credibility and executive commitment
This role is a
founding, hands-on commercial leadership role, accountable for building the direct Life Sciences revenue engine, and deeply involved in shaping deals, messaging, and market positioning
This role is not a
channel-only or account maintenance role, a narrowly scoped quota-carrying role with a fixed playbook, and insulated from product, delivery, or execution realities
About Arcadia
Arcadia.io helps innovative providers and payers across the country transform healthcare to reduce cost while improving patient health. We do this by aggregating large amounts of disparate data, applying algorithms to identify opportunities to provide better patient care, and making those opportunities actionable by physicians at the point of care in near-real time. We are passionate about helping our customers drive meaningful outcomes. We are growing fast and have emerged as a market leader in the highly competitive population health management software market and have been recognized by industry analysts KLAS, IDC, Forrester, and Chilmark for our leadership. For a better sense of our brand and products, please explore our website.
Protect Yourself
If you have concerns about the authenticity of a job offer or recruitment-related communication claiming to be from Arcadia, we encourage you to verify by contacting us directly at (781) 202-3600 and select option 3. For more information, visit our website.
This position is responsible for following all Security policies and procedures in order to protect all PHI under Arcadia's custodianship as well as Arcadia Intellectual Properties. For any security-specific roles, the responsibilities would be further defined by the hiring manager.
Location: Boston, MA
Workplace: OnSite
At WHOOP, we're on a mission to unlock and inspire performance for life. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives.
WHOOP is seeking a Vice President of Hardware Quality to lead the vision, strategy, and execution of quality across our global hardware ecosystem. This leader will be responsible for ensuring quality is embedded throughout the product lifecycle — from early product development through manufacturing, supplier management, and field performance. Working closely with Hardware Engineering, Supply Chain, Operations, Membership Services, Finance, and manufacturing partners, you will build scalable systems, drive operational excellence, and create a culture of continuous improvement that enables WHOOP to deliver exceptional products and member experiences at scale.
RESPONSIBILITIES:
- Define and execute a comprehensive quality strategy spanning product quality, manufacturing quality, supplier quality, field quality, and containment across the hardware lifecycle.
- Build, lead, and develop a world-class global quality organization that enables operational excellence and unlocks growth and scale.
- Partner closely with Hardware Engineering and Product Development teams to ensure robust quality planning, validation, and risk mitigation throughout new product introduction and sustaining engineering activities.
- Establish quality metrics, operating mechanisms, and executive reporting frameworks that provide visibility into quality performance, risks, and opportunities across the supply chain.
- Drive closed-loop quality improvement initiatives by connecting field performance, reliability testing, manufacturing data, supplier performance, and product design insights.
- Lead supplier quality programs, including qualification processes, factory audits, corrective and preventive actions, and strategic supplier development efforts across a global manufacturing network.
QUALIFICATIONS:
- 10+ years of leadership experience in hardware quality, manufacturing quality, supplier quality, or related functions supporting consumer electronics, wearable technology, or other complex hardware products.
- Demonstrated success building and scaling high-performing quality organizations in fast-paced, high-growth environments.
- Deep understanding of consumer electronics manufacturing processes, including electro-mechanical assemblies, PCB/SMT manufacturing, batteries, plastics, and critical component qualification.
- Experience working with global manufacturing and supplier partners and managing quality across geographically distributed operations.
- Expertise in quality systems and methodologies, including statistical process control, auditing, corrective and preventive action programs, root cause analysis, FMEA, Design for Manufacturing, Lean manufacturing, and Six Sigma principles.
- Strong executive communication and stakeholder management skills with the ability to influence decisions through data-driven insights and cross-functional partnership.
- Bachelor’s degree in Mechanical Engineering, Electrical Engineering, Manufacturing Engineering, Quality Engineering, or a related technical discipline.
- Willingness and ability to travel up to 25% internationally to support manufacturing partners, suppliers, and quality initiatives.
- Strong commitment to embracing and leveraging AI tools in day-to-day tasks, ensuring AI-assisted work aligns with the same high-quality standards as personal contributions.
This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office.
Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply.
WHOOP is an Equal Opportunity Employer and participates in E-verify https://www.e-verify.gov/to determine employment eligibility
The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values.
At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success.
The U.S. base salary range for this full-time position is $200,000-$300,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training.
In addition to the base salary, the successful candidate will also receive benefits and a generous equity package.
These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements.
Location: Americas; EMEA
Workplace: Remote
RevenueCat gives app businesses the infrastructure and tools to build, run, and improve their monetization. Since graduating from YC's S18 batch, we've grown into the default monetization platform for mobile.
We're in 50%+ of newly shipped subscription apps, we process $16B+ in annual purchase volume, and we help everyone from a solo developer to the OpenAI mobile team understand and grow their revenue.
We're a remote-first team of 150+ people across 25+ countries, guided by values we actually practice: Customer Obsession, Always Be Shipping, Own It, and Balance.
This isn't the right fit for everyone. The systems you’ll build here manage billions of dollars and touch hundreds of millions of end users, and we don’t take that lightly. You'll be expected to work hard and hold a high bar for what you ship, alongside some of the sharpest, most driven people you've worked with. If that sounds energizing rather than exhausting, keep reading.
THE ROLE
We are looking for a Head of Customer Growth to build and lead the operating system that helps RevenueCat customers become better app businesses.
This is broader than a traditional Customer Success role. It combines strategic account coverage, app-growth judgment, specialist advisory, customer education, product adoption, and scalable enablement. The goal is not to give every customer the same high-touch service. It is to identify where RevenueCat can create disproportionate value, deploy the right kind of help, and turn every successful customer intervention into knowledge that benefits the rest of the customer base.
You will lead a multi-lane Customer Growth function spanning the CSM team, Growth Advisory, Growth Advocacy, and the emerging Customer Enablement function. The CSM Team Lead will own daily CSM execution. You will set the strategy, operating model, talent bar, investment plan, and measures of success for the function as a whole.
For our highest-value customers, this means deep account context, growth diagnosis, stakeholder mapping, product-adoption strategy, technical-account coordination, and clear next-step ownership. For high-potential customers, it means identifying them early and providing the right help before revenue has fully materialized. For customers with specific growth bottlenecks, it means bringing in the right specialist. For the broader customer base, it means scalable education through Growth Advocates, lifecycle guidance, office hours, playbooks, templates, product nudges, and eventually dynamic next-best-action systems.
Your job is to make Customer Growth one operating system rather than a collection of disconnected activities.
WHY WE ARE HIRING FOR THIS ROLE NOW
RevenueCat serves tiny indie apps, fast-growing startups, games, media companies, health and fitness apps, AI products, marketplaces, and some of the most sophisticated consumer app businesses in the world.
The app market is top-heavy, so the human touch must be allocated deliberately. At the same time, a customer that is small today may become strategically important very quickly. Contract status and current revenue are necessary signals, but they are not sufficient.
We already have many of the ingredients: CSMs, a CSM Team Lead role, Growth Advocates, Customer Growth Advisory specialists, Product, Support, Marketing, Sales, TAM, Data, and one of the richest datasets in app monetization. We need a leader who can turn those ingredients into a coherent function.
WHAT YOU WILL BE RESPONSIBLE FOR
- Own Customer Growth strategy across the full customer base. Define how RevenueCat helps customers grow after they begin using the product, including named accounts, high-potential customers, specialist-assisted customers, scaled customers, and the long tail.
- Build segmentation and coverage. Use current value, future potential, adoption, intent, growth moments, risk, and strategic importance to decide who receives named CSM coverage, time-bound help, specialist advisory, scaled education, product-led guidance, or monitoring.
- Lead through the CSM Team Lead. Set the bar for customer context, account strategy, stakeholder management, growth diagnosis, adoption planning, commercial awareness, and follow-through. Develop the Team Lead and create a strong leadership bench rather than becoming the permanent CSM manager.
- Identify high-potential customers early. Work with Data, Product, Sales, Marketing, and Support to find customers with meaningful future potential before revenue alone makes them obvious.
- Govern Growth Advisory. Define intake, qualification, expected impact, output quality, follow-through, and reuse. Specialists should be deployed against specific high-value problems rather than become general-purpose consulting capacity.
- Make Growth Advocacy a customer-education channel. Ensure Growth Advocates turn real customer learning into authoritative one-to-many education for existing customers and the broader app ecosystem.
- Build Customer Enablement and Scaled Growth. Create the roadmap for lifecycle programs, templates, office hours, documentation, automation, product nudges, and next-best-action guidance.
- Drive meaningful product adoption. Partner with Product and Product Marketing so customers adopt RevenueCat capabilities in ways that help them win, rather than merely increasing feature activity.
- Create clear cross-functional decision rights. Define how Customer Growth works with Sales, TAM, Support, Product, Marketing, and Data without turning CSMs into AEs, TAMs into a catch-all, or collaboration into meeting theater.
- Build the customer-insight loop. Repeated customer questions should become product improvements, enablement, playbooks, benchmarks, documentation, lifecycle programs, and market education.
- Own the function. Set metrics, operating cadences, headcount plans, budget, organization design, executive communication, and the talent bar across Customer Growth.
WHAT SUCCESS LOOKS LIKE
WITHIN THE FIRST MONTH
- Meet directly with at least 15 customers across different sizes, growth stages, product footprints, and monetization models—including high-value, high-potential, at-risk, and scaled customers.
- Take point on at least two live customer-growth situations. Work alongside the CSM, Advisory, TAM, Support, or Product partner to diagnose the problem, agree ownership, and move each customer to a concrete next milestone.
- Ship at least one no-regrets improvement to a broken handoff, account motion, Advisory route, or customer experience rather than waiting for a complete strategy.
- Establish a clear operating agreement with the CSM Team Lead and act on urgent customer, talent, or ownership issues.
- Build a working view of the team, coverage, high-potential misses, lane boundaries, and metrics—deep enough to make decisions, without allowing analysis to delay action.
WITHIN THE FIRST THREE MONTHS
- Act as executive sponsor for a small set of strategically important or high-potential customers and personally lead at least two customer-growth interventions through a measurable milestone.
- Put the first version of segmentation and coverage into production on real accounts, then revise it from evidence.
- Run decision-oriented account reviews and a working Growth Advisory intake and follow-through motion.
- Ship the first scaled education or Customer Enablement program based on a repeated customer need.
- Make the first material changes to ownership, operating cadence, or talent where the current model is not working.
- Establish a customer-insight loop that turns frontline evidence into owned Product, education, lifecycle, or process actions.
WITHIN THE FIRST SIX MONTHS
- Maintain direct customer contact every week and own selected executive relationships while leading the wider system through the CSM Team Lead and specialist leaders.
- Operate a functioning multi-lane Customer Growth model with clear owners, live handoffs, and visible outcomes across CSM, Growth Advisory, Growth Advocacy, and Customer Enablement.
- Have the CSM Team Lead independently owning daily CSM execution, coaching, and account quality.
- Demonstrate measurable results from customer interventions and show that repeated one-to-one work is becoming reusable Advisory output, education, enablement, or product insight.
- Have shipped multiple scaled programs and made concrete hiring or investment decisions for the function.
WITHIN THE FIRST TWELVE MONTHS
- RevenueCat has a trusted, actively used system for serving high-value, high-potential, specialist-assisted, and scaled customers.
- Customer Growth produces measurable improvement in customer outcomes, meaningful product adoption, account health, renewal readiness, expansion quality, and customer revenue outcomes.
- The Head remains directly connected to customers and is a trusted executive partner for selected strategic accounts.
- The best customer work consistently becomes reusable product, education, and market leverage.
- The function has a strong leadership bench and a record of shipping improvements without waiting for perfect information.
WHAT YOU WILL NEED TO BE SUCCESSFUL
- Approximately 10 or more years in Customer Success, Customer Growth, strategic accounts, Growth Advisory, product growth, lifecycle, monetization, or an adjacent customer-facing function.
- Five or more years leading customer-facing teams, including managers, senior team leads, or specialist groups.
- Evidence of owning an entire function or multi-lane operating model, not only managing an individual CSM team.
- Experience building or materially rebuilding segmentation, coverage, strategic-account, adoption, health, advisory, or scaled-customer systems.
- Strong commercial judgment around NDR, renewal risk, expansion influence, customer value, and executive alignment.
- Credibility with mobile apps, app monetization, in-app purchases, paywalls, checkout, pricing and offers, lifecycle, retention, experimentation, analytics, or a closely adjacent domain.
- Enough product and technical fluency to lead around a developer-facing platform while preserving clear ownership for TAM, Support, and Engineering.
- Experience managing both generalists and specialists.
- Evidence of turning repeated one-to-one work into scalable systems.
- Strong written communication, directness, and remote-first operating habits.
- Evidence of hiring, coaching, performance management, and raising the leadership and talent bar.
IDEALLY, YOU
- Have led CSMs and advisory, education, lifecycle, or enablement teams together.
- Have scaled a customer-facing function through a major company-growth stage.
- Have worked in a hybrid self-serve, product-led, and enterprise business.
- Have firsthand experience as an app operator, growth leader, founder, or consultant.
- Have built product-led or tech-touch Customer Success programs.
- Have helped productize or commercialize an advisory or professional-services capability.
WHAT WE OFFER:
- Competitive equity in a fast-growing, Series C startup backed by top-tier investors, including Y Combinator
- 10-year window to exercise vested equity options
- A fully remote environment designed around autonomy and flexibility
- 4-5 weeks of flexible time off annually
- Paid desk at a co-working space
- Workspace budget and continuous learning stipend
INTERVIEWING AT REVENUECAT
Our interview process is rigorous on purpose. We want to be sure that everyone we bring on is genuinely excited about this work, aligned with how we operate, and ready to meet our high bar for performance. Curious what that actually looks like? Read more in our blog post on how we hire at RevenueCat https://www.revenuecat.com/blog/company/how-we-hire-at-revenuecat/, including tips to help you succeed.
MORE ON HOW WE WORK:
- How we think about hiring and team design: Building a Winning Team https://app.notion.com/p/Building-a-Winning-Team-69e431c4c3df4b13961523cd93c0e9bf?pvs=21
- The values that guide how we work: Our Values https://www.revenuecat.com/blog/values/
- How we work as a remote team: How We Work Remotely at RevenueCat https://www.revenuecat.com/blog/how-we-work-remotely-at-revenuecat/
- What to expect from our interview process: Interview Expectations https://app.notion.com/p/RevenueCat-Interview-Expectations-1bdcb1a108b0800c8941def0f076f9e2?pvs=21
- What to expect from comp and employment: Employment FAQ https://app.notion.com/p/RevenueCat-Compensation-Employment-Overview-184cb1a108b0801398d4e525928597ab?pvs=21
Location: Americas; EMEA
Workplace: Remote
RevenueCat gives app businesses the infrastructure and tools to build, run, and improve their monetization. Since graduating from YC's S18 batch, we've grown into the default monetization platform for mobile.
We're in 50%+ of newly shipped subscription apps, we process $16B+ in annual purchase volume, and we help everyone from a solo developer to the OpenAI mobile team understand and grow their revenue.
We're a remote-first team of 150+ people across 25+ countries, guided by values we actually practice: Customer Obsession, Always Be Shipping, Own It, and Balance.
This isn't the right fit for everyone. The systems you’ll build here manage billions of dollars and touch hundreds of millions of end users, and we don’t take that lightly. You'll be expected to work hard and hold a high bar for what you ship, alongside some of the sharpest, most driven people you've worked with. If that sounds energizing rather than exhausting, keep reading.
THE ROLE
We are looking for a Head of Sales to build and lead the commercial system that converts RevenueCat's market position, product signals, and customer demand into dependable revenue, regardless of that revenue coming in the form of an immediate contract, a self-serve credit-swipe, or long-term expansion.
In the ‘app monetization platform’ category, RevenueCat currently has about a 90% marketshare, ranging from the biggest apps in the world (ChatGPT, Ladder, VSCO) to a long tail of 100,000+ indies and startups vying to make it big. We only power roughly 25% of in-app revenue, though: The majority of apps still tries to build this themselves. Your job will be to show them the error of their ways. Not (just) to close a deal, but because we truly, deeply believe we will help them make more money.
As the Head of Sales, you’ll lead the AE and Sales Engineering teams, bringing both teams together in a single, well-oiled machine. You’ll set the functional strategy, develop talent, own forecasting and results, and you’ll personally help move important opportunities forward without becoming the required manager or closer on every deal.
WHY WE ARE HIRING FOR THIS ROLE NOW
We have more opportunities than the current team can consistently identify, prioritize and pursue.
Our reputation and market position produce consistent touch points with the majority of potential prospects, without those touch points turning into economic opportunities. At the same time, we’re rapidly expanding into new markets and product areas that need more proactive sales support than we can deliver.
We need a leader who can make several motions work together without forcing them into one generic process:
- Complex evaluations involving technical, business, security, legal, and procurement stakeholders.
- Faster mid-market opportunities that require strong qualification and commercial momentum.
- Self-exploration where customer behavior reveals an opportunity before a formal handraise.
- Carefully researched outbound engagement with app businesses where RevenueCat has a specific reason to be useful.
- Partner-sourced and selected regional motions whose economics must be demonstrated before they are scaled.
The foundations exist: Account Executives, Sales Engineers, product and usage data, a respected brand, Growth Marketing, Partnerships, Revenue Operations, Product, Finance, and Customer Growth. This role will turn those ingredients into a successful Sales function.
WHAT YOU WILL BE RESPONSIBLE FOR
- Own the function. Set goals, metrics, operating cadences, headcount plans, budget, organization design, executive communication, and the performance bar across Sales.
- Build a multi-motion Sales system. Define how strategic, mid-market, product-led, outbound, partner, and regional opportunities are identified, qualified, staffed, and advanced, across a growing product portfolio.
- Create qualified pipeline beyond inbound. Develop focused account and outbound programs grounded in customer evidence, specific use cases, market events, and product signals rather than undifferentiated prospecting.
- Close the coverage gap. Ensure high-potential product usage, sign-ups, inbound requests, support interactions, and target-account signals quickly result in a named owner and an intentional next action.
- Build the team. We have good building blocks in place but the team needs to be significantly expanded to take on our current scale. Hire and developer exception talent, and define what makes a great sales team member at RevenueCat.
- Remain close to customers. Participate in customer conversations every week and personally lead or support opportunities with unusual economic, technical, or organizational complexity.
- Make the forecast useful. Establish definitions and inspection habits that distinguish real, qualified opportunity value from incomplete records, existing usage conversions, renewals, total contract value, or loosely influenced demand.
- Help shape pricing and packaging. Bring a clear Sales point of view to cross-functional pricing and packaging decisions, using customer evidence to advocate for structures that support value, adoption, and durable growth.
- Get cross-functional collaboration right. Define how Sales works with Customer Growth, Partnerships, Marketing, Finance, Revenue Operations, Product, Engineering, TAM, and Support without creating duplicate account ownership or executive rescue as the default operating model.
- Create learning from every deal. Turn repeated discovery patterns, objections, migrations, wins, and losses into better playbooks, reusable assets, Product evidence, and team training.
WHAT SUCCESS LOOKS LIKE
We help even more apps make even more money, without turning Sales into the standard SaaS “spray and pray” factory
WHAT YOU WILL NEED TO BE SUCCESSFUL
- 5+ Year of experience leading Sales in a technically complex B2B environment, including responsibility for managers or senior team leads as well as individual contributors.
- Success across multiple distinct motions such as strategic enterprise, mid-market, product-led Sales assistance, focused outbound, channel, or regional selling.
- Experience creating qualified pipeline rather than depending entirely on inbound demand or a large SDR organization.
- Enough product and technical fluency to talk to Engineering about a possible migration without relying on Sales Engineering for every conversation.
- Fluency with pipeline inspection, forecasting, conversion data, capacity planning, and performance management.
- Evidence of hiring, coaching, developing leaders, raising standards, and making difficult talent decisions.
- Strong cross-functional collaboration with Product, Engineering, Marketing, Finance, Operations, Partnerships, and post-sale teams.
- A desire to stay personally engaged with customers and live commercial work as the organization grows (and an understanding of why this matters).
IDEALLY, YOU
- Have worked in a product-led or usage-based business where self-service remains an important customer path.
- Understand app infrastructure, payments, monetization, developer platforms, or another domain with meaningful implementation complexity.
- Have built a productive Account Executive and Sales Engineering partnership.
- Have experience with partner-sourced, international, or regional programs.
- Have sold to buying groups spanning engineering, product, growth, finance, security, legal, and procurement.
WHAT WE OFFER:
- Competitive equity in a fast-growing, Series C startup backed by top-tier investors, including Y Combinator
- 10-year window to exercise vested equity options
- A fully remote environment designed around autonomy and flexibility
- 4-5 weeks of flexible time off annually
- Paid desk at a co-working space
- Workspace budget and continuous learning stipend
INTERVIEWING AT REVENUECAT
Our interview process is rigorous on purpose. We want to be sure that everyone we bring on is genuinely excited about this work, aligned with how we operate, and ready to meet our high bar for performance. Curious what that actually looks like? Read more in our blog post on how we hire at RevenueCat https://www.revenuecat.com/blog/company/how-we-hire-at-revenuecat/, including tips to help you succeed.
MORE ON HOW WE WORK:
- How we think about hiring and team design: Building a Winning Team https://app.notion.com/p/Building-a-Winning-Team-69e431c4c3df4b13961523cd93c0e9bf?pvs=21
- The values that guide how we work: Our Values https://www.revenuecat.com/blog/values/
- How we work as a remote team: How We Work Remotely at RevenueCat https://www.revenuecat.com/blog/how-we-work-remotely-at-revenuecat/
- What to expect from our interview process: Interview Expectations https://app.notion.com/p/RevenueCat-Interview-Expectations-1bdcb1a108b0800c8941def0f076f9e2?pvs=21
- What to expect from comp and employment: Employment FAQ https://app.notion.com/p/RevenueCat-Compensation-Employment-Overview-184cb1a108b0801398d4e525928597ab?pvs=21
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