Location: Berlin Office; London Office
Workplace: Hybrid
Taktile empowers financial institutions to transform into truly AI-native organizations. We’re growing rapidly with enterprise customers across banks and insurance companies, and we’re looking for a Deployment Lead to serve as the strategic layer in our Forward Deployed Engineering (FDE) function who ensures our customers successfully implement and unlock maximum value from AI-driven decision-making.
In this pre- and post-sale hybrid role, you'll be the primary point of contact guiding enterprise customers and Taktile internal teams through highly strategic, complex, multi use case AI transformation projects. You lead strategic planning of the project, own business outcome of the solution implementation, pave path for business impact-driven footprint and revenue expansion within the account, and shape product roadmaps with first-hand industry insights.
You’ll collaborate across Taktile’s Forward Deployed Engineer (FDE), Solution, Product, and Sales teams, as well as with external partners, to support customers throughout their entire lifecycle, driving strategic outcomes and sustained impact.
About You
- Strategic Enterprise Leader – You are a strategic thinker and experienced navigator of complex enterprise deals and transformation programs. You can turn an ambitious AI vision into a credible, sequenced, and executable plan.
- Complexity Navigator – You can synthesize technical, operational, and commercial complexity, including use-case-specific pain points, value propositions, industry dynamics, vendor landscapes, stakeholder agendas, competing KPIs, and build-versus-buy considerations.
- Executive Communicator – You have the presence and judgment to engage senior and C-level stakeholders, facilitate difficult trade-offs, challenge assumptions constructively, and build alignment across business, risk, technology, data, and AI teams.
- Commercially Minded – You can identify where AI can create material business value, build quantified success metrics and ROI frameworks, and connect delivery outcomes to adoption, expansion, and long-term account value.
- Delivery Leader – You can structure and lead high-stakes pilot and proof-of-value programs, anticipate risks, unblock decisions, and keep cross-functional teams aligned on scope, quality, timelines, and expected impact.
- AI-Native – You are familiar with modern AI and LLM capabilities, limitations, evaluation approaches, governance considerations, and the requirements for deploying trusted AI in regulated environments. You use AI tools every day to do your own work faster and better, and you expect to bring that way of working to customers.
- Technically Hands-On – You understand applied AI, data, and integration concepts deeply enough to make solution choices yourself, not just referee them. You don’t need to be a software engineer, but you are comfortable reading a decision flow, digging into data, and building a rough prototype or demo with modern AI tooling. Solutions Engineers and Forward Deployed Engineers own production implementation; you can follow them all the way into the details.
- Low-Ego, High-Ownership – You are hands-on where your judgment has the greatest leverage, collaborate effectively across functions, and want to build with customers and teams—not advise from a distance.
- Experienced – You have 5-10 years of experience in enterprise technology, strategy consulting, digital or AI transformation, technical sales, complex delivery, or a similarly demanding customer-facing environment, including leadership of large accounts or programs.
- Mobile – You are willing to travel up to 30% of the time.
What You’ll Do
- Shape high-impact AI transformations
- Partner with Account Executives and Solutions Engineers early in strategic enterprise opportunities to qualify the opportunity, shape account strategy, and build credibility with executive stakeholders.
- Lead use-case discovery and prioritization workshops that assess potential business impact, transformation potential, feasibility, implementation risk, and time to value.
- Guide customers and internal teams to select the right landing or pilot use case, define which use cases should follow in later phases, and turn that sequence into a compelling AI-transformation roadmap.
- Lead end-to-end process-mapping workshops for the selected use case. Surface and document current-state pain points, stakeholder needs, decision flows, data and technology constraints, the target-state process, and the customer’s wish list.
- Define clear success criteria, measurable business-value metrics, and ROI frameworks that align business, risk, technology, data, and AI stakeholders before delivery begins.
- Own Taktile’s most strategic value deliveries
- Act as a senior sponsor for complex post-sale programs, ensuring delivery quality, executive alignment, measurable outcomes, and a clear path from the initial use case to scaled adoption.
- Lead pilot and proof-of-value programs in partnership with Forward Deployed Engineers. Guide solution design, evaluation methodology, performance assessment, stakeholder reviews, and the priorities for subsequent iterations.
- Translate technical results into clear business implications and present progress, trade-offs, risks, and quantified value to both customer executives and internal stakeholders.
- Accelerate revenue and product excellence
- Identify expansion opportunities based on demonstrated value and customer priorities, and shape the narrative, sequencing, and operating plan for additional use cases.
- Bring customer realities, market dynamics, and field feedback back to Product and Engineering, and turn lessons from engagements into repeatable discovery methods, delivery playbooks, ROI frameworks, and industry-specific patterns.
- Act as a force multiplier across accounts and teams by coaching colleagues on strategic problem-solving, executive communication, use-case framing, and delivery leadership.
Ideal, But Not Required
- You are a domain expert and can engage credibly in front of customers and internal teams for one or more of Taktile’s core use cases: business onboarding and KYB, business lending and underwriting, fraud or risk decisioning, or insurance claims processing.
- You have led AI, data, risk, or decisioning transformation programs within banks, insurers, lenders, or other regulated financial institutions.
- You have deep experience in one or more of Taktile’s core use cases: business onboarding and KYB, business lending and underwriting, fraud or risk decisioning, or insurance claims processing.
- You have operated at Engagement Manager, Principal, Director, Partner, or an equivalent senior level in strategy consulting, digital transformation, enterprise technology, technical sales, or customer delivery.
- You understand the financial-services technology and vendor landscape and can help customers evaluate architecture, operating-model, and build-versus-buy trade-offs.
- You have experience coaching teams, codifying best practices, and raising the quality of work across multiple strategic accounts or programs.
Our Offer
- Work on hard, meaningful problems with real-world impact.
- Receive top-of-market equity and cash compensation.
- Get access to a self-development budget that you can use to e.g. attend conferences, buy books or take classes.
- Join us onsite in our inspiring office spaces in the heart of Berlin, London or New York and travel to bi-yearly company-wide meetings around the world.
- Shape how enterprise SaaS is delivered at scale.
- Experience a truly flat hierarchy. Interact with and learn directly from founding team members. Having an opinion and voicing your ideas is not only welcome but encouraged, especially when they challenge the status quo.
- Use the equipment of your choice including a meaningful home office set-up.
About Us
Taktile enables financial institutions to transform into AI-native organizations that are increasingly powered by autonomous agents. With our modular Agentic Decision Platform, customers combine AI agents, rules, relevant context, and human oversight to safely automate and optimize their decisions—approving more customers, reimbursing claims instantly, stopping fraud before it spreads, and financing every business worth funding. Founded in 2020, Taktile powers millions of decisions daily for institutions including Mercury, Monzo, Faire, and Pleo. With offices in New York, Berlin, London, São Paulo, and Iași, the company has raised $184M from Growth Equity at Goldman Sachs Alternatives, Index Ventures, Tiger Global, Balderton Capital, and Y Combinator. Learn more at taktile.com http://taktile.com.
About Your Employment. Taktile operates through regional entities worldwide. Depending on the location of this role, your employment or engagement will be with Taktile LLC (US), Taktile GmbH (Germany), Taktile Ltd (UK), or Taktile SRL (Romania). The applicable entity will be confirmed during the offer process.
Your Privacy. Taktile (“we” or “us”) is the controller of the personal data you provide during this application process. We collect and process your name, contact details, resume/CV, work history, education, and any other information you submit or that we obtain from publicly available sources or references.
How we use your data: We process your personal data to evaluate your candidacy, communicate with you about the recruitment process, comply with legal obligations (such as right-to-work verification), and, with your consent, to consider you for future opportunities.
Legal basis (EU/UK applicants): We rely on (i) pre-contractual steps at your request (GDPR/UK GDPR Art. 6(1)(b)), (ii) legal obligations (Art. 6(1)(c)), and (iii) our legitimate interest in evaluating candidates (Art. 6(1)(f)).
Retention: If your application is unsuccessful, we retain your data for 12 months after the recruitment process concludes, unless you consent to longer retention. Successful candidates’ data becomes part of their employment records.
Your rights: Depending on your location, you may have the right to access, correct, delete, or restrict the processing of your personal data, to data portability, and to withdraw consent.
Automated decision-making: We use automated tools to assist in screening applications. No hiring decision is made solely by automated means without human review.
International transfers: Your data may be transferred to and processed in the United States, Germany, the United Kingdom, or Romania. Where required, transfers are protected by Standard Contractual Clauses or other approved mechanisms.
By submitting your application, you acknowledge that you have read and understood Taktile’s Applicant Privacy Policy https://taktile.com/applicant-privacy-policy. To exercise your rights or ask questions, contact privacy@taktile.com.
Location: UAE
Workplace: Remote
ABOUT ELEVENLABS
ElevenLabs is an AI research and product company transforming how we interact with technology.
We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always.
We have expanded from voice into three main platforms:
- ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale.
- ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages.
- ElevenAPI gives developers access to our leading AI audio foundational models.
Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you.
HOW WE WORK
- High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy.
- Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you.
- AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations.
- Excellence everywhere: Everything we do should match the quality of our AI models.
- Global team: We prioritize your talent, not your location.
WHAT WE OFFER
- Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible.
- Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities.
- Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend.
- Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose.
- Annual team offsite: Each year, we bring your entire team together in a new location - past offsites have included Croatia, Italy and Cancún
- Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend.
ABOUT THE ROLE
We’re looking for a highly motivated, self-starter first Revenue Partnerships hire based in the Middle East who is passionate about AI technology and how it is changing businesses. We don’t just sell a product or custom-level solutions; we are partnering with enterprises to help them generate new experiences and monetization opportunities at scale with our breakthrough voice technology and solutions. In this role you will:
- Actively seek out, identify, qualify, and build a sales pipeline through partnerships with Global/Regional System Integrators, Cloud Providers, Value-Added Resellers (VARs), consulting firms and Technology Partners.
- Collaborate with our Enterprise Sales team to close deals and consistently exceed monthly, quarterly, and yearly sales targets.
- Establish and nurture strong partnerships that drive business growth and create new opportunities.
- Serve as the primary point of contact for all partner-related initiatives within the Regional Sales team.
- Oversee partner relationships at the regional level while maintaining alignment with global strategies.
REQUIREMENTS
- At least 7 years of quota-carrying experience in a fast-paced, competitive sales environment, focusing on new business development.
- A minimum of 3 years of experience managing sales pipelines and closing deals through partnerships with Global and Regional System Integrators, VARs, Cloud Partners,consulting firms and Technology Providers within a complex sales matrix.
- Proven ability to communicate the business value of advanced enterprise technology solutions.
- A history of consistently exceeding sales targets and achieving strong performance.
- Expertise in navigating complex sales cycles and developing business champions.
- Self Starter
- Analytical skills and proficiency with spreadsheets
- Proficiency in creating compelling presentations and demos
- Market Insight: Deep knowledge of the In SaaS/AI industry
- Proficiency in English
Bonus:
- Network in the relevant partner bases
- Proficiency in Arabic
#LI-remote
We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.
Location: Argentina; Brazil; Colombia
Workplace: Remote
Solvd Inc. is a rapidly growing AI-native consulting and technology services firm delivering enterprise transformation across cloud, data, software engineering, and artificial intelligence. We work with industry-leading organizations to design, build, and operationalize technology solutions that drive measurable business outcomes.
Following the acquisition of Tooploox, a premier AI and product development company, Solvd now offers true end-to-end delivery—from strategic advisory and solution design to custom AI development and enterprise-scale implementation. Our capability centers combine deep technical expertise, proven delivery methodologies, and sector-specific knowledge to address complex business challenges quickly and effectively.
Solvd is seeking a Senior AI Engineer to join our team. This role will be essential in the winning of opportunities for the company, primarily focusing on supporting presales process and opportunities discovery with existing clients.
ABOUT THE PROJECT
Our client, a global e-commerce leader with a large-scale, service-oriented technology estate and complex cloud infrastructure, is seeking to elevate their customer support technology stack by introducing Agentic AI to streamline case workflow resolutions and by implementing an integrated platform to replace the fragmented set of solutions currently used by support agents.
Ultimately, our client aims to deliver a more personalized and satisfying support experience to end users - improving CSAT, reducing resolution time, and enhancing service quality across all channels.
We are developing a customer support research and resolution platform. The platform will include:
- data layer, provide a federated GraphQL interface that unifies access to multiple backend services, enabling low-latency, real-time data retrieval and transactional operations to support AI-driven workflows.
- agentic layer, supporting AI-assisted support workflows with human in the loop for validation and confirmation purposes
- research capability, allowing end users to intervene when AI is stuck or gives suggestions with low confidence - this capability should enable users to perform additional research, data lookups and actions execution using natural language prompts leveraging LLM and tools (lookups and mutating operations exposed via MCP servers)
The role will focus on designing, building and optimizing this agentic research flows for research capability. This is a multi-team, collaborative initiative that requires close coordination with other delivery teams, adherence to high engineering standards and a strong focus on integration and architectural alignment.
WHAT YOU’LL DO
- Design and implement AI-powered features: integrate LLM and build AI agents.
- Design and implement ent-to-end (frontend and backend) non-AI features, services and business logic that make the solution complete.
- Build and maintain MCP servers to expose domain data and capabilities as tools for AI agents.
- Implement RAG workflows to ground LLM responses in factual data using embeddings, chunking and vector databases.
- Instrument and optimize OpenAI integrations for cost, latency, and accuracy in production environments.
- Collaborate with product, design and architecture teams to craft exceptional user experiences built on AI.
- Participate in technical design reviews, shaping architectural decisions and engineering standards.
WHO ARE YOU
- You see engineering as an art of solving problems, using languages and frameworks as tools - not boundaries or limiting factors.
- You stay ahead of the curve, continuously tracking the latest developments in Generative AI and excited to be part of how it transforms digital solutions are how they are built.
- You know best practices of building AI agents leveraging OpenAI ecosystem (OpenAI Agents SDK specifically).
- You have 6+ years of server-side engineering experience, designing and building enterprise-scale software systems.
- You have a strong understanding of distributed systems design patterns.
- You have strong knowledge of different types of data stores (relational, document, vector, key-value) and understand when to use each effectively.
- You are fluent in React, Node.js, TypeScript and confident integrating OpenAI models in real-world applications.
- You are fluent in at least one non-JS programming language (Java is a strong advantage).
- You are able to express your thoughts and ideas clearly to different audiences, including non-technical stakeholders, bridging business and technical perspectives.
- You thrive in environments where AI isn’t a side feature but a core building block.
- You can take ownership of and drive feature implementation end-to-end, coordinating the work of multiple team members when needed.
- You have a strong understanding of Agile delivery methodologies and understand the importance of expectations management, estimations and commitments.
WHAT YOU BRING
- 6+ years of professional backend engineering experience, 3+ years with TypeScript/Node.js.
- 9+ months of commercial experience building AI features using OpenAI ecosystem.
- Hands-on expertise with the OpenAI Agents SDK - building and orchestrating AI agents with capabilities such as tool/function calling, assistants, streaming interactions, and stateful workflows.
- Experience designing and implementing MCP servers to integrate external capabilities with LLMs.
- Proven ability to design structured prompt architectures with evals, guardrails and observability.
- Familiarity with RAG: embeddings, chunking, vector search, retrieval orchestration.
- Strong fundamentals in building secure, performant, production-grade APIs and backend systems.
- Experience with CI/CD, testing, monitoring, and cloud infrastructure.
ADDITIONAL SKILLS
- Understanding concepts of semantic search is a strong advantage.
- Experience playing a role of team leaders is a strong advantage.
- Exposure to other LLM providers (e.g., Anthropic, Mistral AI, Hugging Face) is a strong advantage.
- Experience with streaming UIs, conversational UX, and SSE/WebSockets.
- Knowledge of prompt injection defenses and responsible AI practices.
TECH STACK
This platform is a green-field development.
- Core: TypeScript, Node.js, React/Next.js, Java
- AI: OpenAI API, MCP servers, OpenAI Agents SDK
- APIs: GraphQL, REST APIs, SOAP (downstream services - you won’t have to deal with them much)
- Data storages: Postgres + pgvector, Pinecone (or other vector DBs), RAG pipelines
- Infra: proprietary managed cloud (you won’t have to deal with any infra-level aspects
When you join Solvd, you'll…
- Shape real-world AI-driven projects across key industries, working with clients from startup innovation to enterprise transformation.
- Be part of a global team with equal opportunities for collaboration across continents and cultures.
- Thrive in an inclusive environment that prioritizes continuous learning, innovation, and ethical AI standards.
Ready to make an impact?
If you're excited to build things that matter, champion responsible AI, and grow with some of the industry’s sharpest minds. Apply today and let’s innovate together.
Solvd is an equal opportunity employer.
Location: San Francisco, CA | New York City, NY
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role:
As a Research Product Manager for the Labs teams at Anthropic, you will own the ideation and development of new, moonshot products as we advance transformative, safe AI. The Labs team runs Anthropic's most ambitious experiments: new product categories that don't exist yet. The team focuses on 0-to-1 product development, taking our most advanced research and transforming it into innovative applications like Claude Code and MCP.
We seek experienced founders and product managers who can bridge pure research and ambitious product experimentation, with the ability to identify and ultimately define entirely new product categories enabled by AI.
Responsibilities:
Work with researchers to understand what's emerging and what it means for users
Identify nascent research capabilities that could become transformative products
Build prototypes yourself to validate ideas before committing resources
Lead 0-to-1 product development from research to internal prototypes to shipped products
Define product strategy for experimental initiatives that push beyond our current offerings
Creatively build MVPs and prototypes to validate product-market fit with the lowest cost possible
Lead vision, strategy, roadmap, and execution of frontier technologies that leverage the latest AI capabilities to solve real-world problems
Minimum Qualifications
You might be a good fit if you:
Possess a deep technical background with experience working cross-functionally with engineering teams to ship technical products.
Have the ability to navigate and execute amidst ambiguity, and to flex into different domains based on the business problem at hand, finding simple, easy-to-understand solutions
Have a track record of launching ambitious products that have found distribution or commercial success
Think creatively about the risks and benefits of new technologies, and think beyond past checklists and playbooks
Stay up-to-date and hands-on with emerging research and industry trends
Prototype with AI tools like Claude Code
Preferred Qualifications
Have 5+ years in product management, with experience launching new products and scaling existing products. Founder background is a plus.
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$385,000
—
$460,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Tokyo, Japan
WHAT IS BOX?
Boxについて
Box(NYSE: BOX)はインテリジェントコンテンツ管理（ICM）プラットフォームのリーディングカンパニーです。Boxのプラットフォームは、企業のコラボレーション促進や、コンテンツのライフサイクル全体の管理、重要なコンテンツの保護、そしてエンタープライズAIによるビジネスワークフローの変革を実現することを目指しています。2005年に米国で設立され、JLL、モルガン・スタンレーなどを含む大手グローバル企業や、日本では約23,000社および日経225の86%の企業の業務効率化を支援しています。
Boxは、カリフォルニア州レッドウッドシティーに本社を置き、米国、ヨーロッパ、アジアに拠点を持っています。株式会社Box Japanは2013年に設立された日本法人です。
Boxでは、重要なコンテンツを扱うプラットフォームをさらに推進し、お客様の働き方に大きな変革を提供する、またとない機会があります。コンテンツは私達の業務の中心にあります。契約書、請求書、社員情報、財務情報、製品仕様、マーケティング資産などの部署間に跨る重要なビジネス・プロセスに含まれる数十億ものファイルや情報が日々流れています。私達のミッションは、コンテンツ管理にインテリジェンスをもたらし、お客様がデジタル・トランスフォーメーションを実現するお手伝いをさせていただくことです。このAIと膨大な業務コンテンツの融合による、大規模な働き方の変革期に、そのビジネスの最前線に貢献することが、Boxではできます。
WHY BOX NEEDS YOU
K.K. Box JapanはBox Inc.の日本支社として2013年8月に設立され、急成長し続けています。私たちはさらにBoxを広め、ともに成長を促進していただくことができる人材を求めております。このポジションでは日本のセールスチームの一員として、責任を持ってセールス活動に専念していただくことができます。
WHAT YOU'LL DO
Stakeholderのニーズを的確に理解し、Boxを効果的に提案する
CIOやIT executive, LOB executive、また他の主要なstakeholderとも密に関わって信頼関係を築く
複雑かつロングタームなdealを、的確・迅速に対応するとともにsmall winsも確実に獲得する
90日以内にフォーカスするテリトリープランを構築する
pipeline, revenue targetを構築する
すべての顧客のユースケース、購買サイクル、Salesforceのforecast等を理解しトラックする
Cloud Content Management, Enterprise 2.0、Box modelを広めていく
すべてのユーザーに対して顧客満足度100%を達成する
lead management, sales forecastingにおけるSFDCの活用
Box ではコミュニティと対面でのコラボレーションを重要視していてます。Box の社員（Boxers）は、少なくとも毎週3日間以上はオフィスで勤務することが求められます。選考プロセスの中で、リクルーターが働き方や企業文化についてさらに詳しくご説明します。
WHO YOU ARE
私たちは「AIファースト」の企業です。
すなわち、常に成長マインドセットを持ちながら仕事に取り組み、AIを活用し、より迅速かつ適切な意思決定を行い、インパクトを高める方法を見つけていくことが求められます。
3年以上のEnterprise Software関連製品の営業経験
エンタープライズの顧客に対する営業経験
金融機関向けの営業経験
既存顧客と関係を保つだけではなく、新規顧客を積極的に開拓できる方
顧客のエグゼクティブ層と密接に関わりながら商談を進めてきた経験（LoB、CIOとのリレーションシップ）
複雑なcloud technologyをシンプルかつ的確に説明することができる能力
セールスのプロセスや購買サイクルを熟知していること
Box Userであること（尚可）
英語力（尚可）
勤務地：東京 （週３出社）
EQUAL OPPORTUNITY
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability, and any other protected ground of discrimination under applicable human rights legislation.
For details on how we protect your information when you apply, please see our
Personnel Privacy Notice.
NOTICE OF USE OF AI
At Box, we believe in the power of AI to improve the recruiting process while keeping people at the heart of every decision. For more information on the use of AI in our hiring process, please visit our webpage
here
.
Location: New York City, NY; San Francisco, CA; Seattle, WA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
Join Anthropic's Customer Success team in a high-visibility & high-impact role driving AI adoption across a small number of strategic accounts in our Enterprise Tech segment. As our dedicated Outcomes AI Manager for Strategic Tech Customers you’ll be their partner and trusted advisor helping them harness the full potential of all our Claude capabilities - API, Claude Code, Cowork, and other surface areas.
You'll work with a book of global technology leaders to actively deploy AI and reshape the technology landscape. You’ll be working with key partners who are moving fast and pushing the boundaries of what's possible with LLM technology. Your role will entail developing genuine partnerships with the customer and key stakeholders, gaining a deep understanding of their multi-pronged business objectives, strategic direction, AI vision, and technical needs. You'll draw on both your business acumen and technical expertise to serve as a strategic advisor throughout their journey with us.
In partnership with the broader account team, you will help customers identify the right Claude capabilities for their specific business objectives, working closely with them to provide best practices and guidance while supporting them as their usage grows and evolves.
Your role focuses on helping customers scale their usage effectively, drive model and use case optimizations, implement change management strategies, and maximize the value of their investment through expanded use cases across their organization. The insights you gather from your customers will directly inform our research priorities, product development, and go-to-market strategies — making you a key voice in shaping how we build and deliver ongoing value as a business.
Responsibilities:
Build trusting, strategic relationships with key customer decision makers in complex, matrixed organizations; understand their business and objectives and identify opportunities for optimization and expansion
Own customer operations across the lifecycle of each account, maintaining a structured operational assessment (customer readiness, operational health, strategic alignment, enablement strategy, adoption intelligence) that grounds comprehensive account and success plans and Executive Business Reviews
Become an expert in Anthropic's products across API, Claude Code and Cowork, understanding the technical nuances and best practices for each to guide customers to the right solutions
Leverage your deep knowledge of each customer, and the patterns you see across your other Tech accounts, to proactively drive consumption planning and the value story behind it, developing credible ROI hypotheses and quantifying outcomes that build the case for continued and expanded investment.
Monitor usage patterns and identify optimization opportunities across Claude surface areas (API, Claude Code, Cowork) to drive full value from contracted commitments
Serve as the customer’s thought partner, enhancing their knowledge of Claude products by socializing Anthropic’s product roadmap, driving awareness on new products and engaging Product PMs
Develop and execute change management strategies to drive end-user adoption and maximize value within customer organizations, including Train the Trainer programs, Center of Excellence development, and organizational enablement
Ruthlessly prioritize across the account's many business units and workstreams, building programmatic, repeatable motions
You may be a good fit if you have:
6+ years of experience in Customer Success, Technical Account Management, Solutions Engineering, or Strategy Consulting
Experience working with F500 technology companies, SaaS platforms, or digital-first businesses at the exec level—ideally including high-growth and established tech companies.
You understand what it means to lead organization-wide change or adoption programs (multiple functions, hundreds of users) for a product that requires C-suite sponsorship
Technical fluency with ability to understand and articulate AI/ML concepts, API integrations, and software implementation patterns across a set of diverse stakeholders—from developers and product managers to executives and end users
Proven track record managing a portfolio of accounts while maintaining strong relationships and driving measurable outcomes — you can run multiple enterprise motions in parallel without letting any account go quiet.
Cross-functional collaborator who represents the customer in a positive, proactive manner, rallying everyone around paths forward that solve customer needs
Passion for AI and interest in responsible development of advanced systems. You have built with Claude Code, automating your own workflows with agents, skills, and tooling.
A knack for bringing order to chaos and an enthusiastic "roll up your sleeves" mentality
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$265,000
—
$320,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: United States
We maintain a roster of trusted, experienced contractors we collaborate with across projects. This role is part of that ongoing talent pool, and qualified candidates may be contacted for future engagements as project needs arise.
Blenderbox is seeking a
Contract UX Researcher
to support discovery and evaluative research across complex digital products and services, primarily in the public sector. This role plays a critical part in ensuring our work is grounded in real user needs, organizational realities, and actionable insight.
You’ll partner closely with UX strategists, product designers, project managers, and technical leads to plan and execute research, synthesize findings, and translate learning into clear direction for design and product teams.
This is a hands-on role centered on thoughtful research, clear synthesis, and practical outcomes.
What You’ll Do
User Research & Stakeholder Engagement
Plan and conduct qualitative research using a range of methods, including one-on-one interviews, group-based research, contextual inquiry, and evaluative usability testing
Engage stakeholders and users across multiple roles and teams to understand needs, workflows, constraints, and opportunities
Collaborate with project teams to define research goals, user groups, and the questions, assumptions, and risks to be explored through research
Develop research plans, discussion guides, and supporting documentation
Adapt research approaches as project scope, constraints, or timelines evolve
Synthesis & Insight Development
Analyze research inputs to identify patterns, themes, risks, and opportunity areas
Incorporate findings from content audits, UX audits, workflow reviews, accessibility audits, and existing documentation as inputs to research synthesis
Triangulate qualitative findings with other available inputs (e.g., surveys, audits, operational data) to strengthen insights and recommendations
Translate research into clear, actionable insights that inform strategy, design decisions, and prioritization
Workshops & Collaborative Sessions
Design and facilitate workshops or working sessions to validate findings, explore opportunities, or align stakeholders
Prepare materials, support facilitation planning, and synthesize outcomes
Partner closely with UX designers and project managers to ensure research insights translate into meaningful next steps
Discovery & Evaluation Deliverables
Prepare and contribute to key research outputs, including:
Findings and insights documentation
Research readouts and presentation decks
Opportunity framing and early directional recommendations
Clear articulation of research-informed next steps
Present research findings to client teams, including facilitating readouts and supporting leadership discussions
Cross-Functional Collaboration
Work closely with UX designers, product managers, and technical partners to integrate research into active project workflows
Review and contribute feedback on research artifacts, synthesis, or findings as part of collaborative team work
What We’re Looking For
5–8+ years of experience conducting UX research for digital products or services
Strong qualitative research skills with experience leading research independently
Demonstrated ability to synthesize ambiguity into clarity and communicate insights effectively
Excellent facilitation skills, particularly in remote and cross-functional settings
Strong writing and presentation skills for client-facing deliverables
Comfort working in complex, multi-stakeholder environments
Experience collaborating closely with designers, project/product managers, and technical teams
Nice to Have
Experience working in public-sector, education, nonprofit, or regulated environments
Familiarity with accessibility and inclusive research practices
Experience supporting research efforts that span multiple phases of a project or evolve over time
Tools & Ways of Working
Experience working with tools such as:
Figma / FigJam
Miro
Zoom-based remote facilitation
Google Workspace
Standard research documentation and synthesis workflows
Engagement Details
Contract role; duration and commitment vary by project
Remote; U.S.-based availability required
Part-time to full-time depending on project needs
Competitive hourly rate based on experience and scope
About Us
Blenderbox is a human-centered design and technology agency. We work with governments and organizations to improve complex digital products and services through thoughtful research, design, and collaboration.
How to Apply
If this seems like a good fit for you, and you would like to be considered for future projects, please submit your résumé and any work samples you wish to share. Apply using the link.
Must be a US Citizen or authorized to work in the US.
No recruiters, please.
Location: Tokyo, Japan
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 Applied AI team member at Anthropic, you will be a Pre-Sales architect focused on becoming a trusted technical advisor helping large enterprises understand the value of Claude and paint the vision on how they can successfully integrate and deploy Claude into their technology stack. You'll combine your deep technical expertise with customer-facing skills to architect innovative LLM solutions that address complex business challenges while maintaining our high standards for safety and reliability.
Working closely with our Sales, Product, and Engineering teams, you'll guide customers from initial technical discovery through successful deployment. You'll leverage your expertise to help customers understand Claude's capabilities, develop evals, and design scalable architectures that maximize the value of our AI systems.
Key responsibilities
Partner with account executives across Japan to deeply understand customer requirements and translate them into technical solutions, ensuring alignment between business objectives and technical implementation
Serve as the primary technical advisor to enterprise customers across Japan throughout their Claude adoption journey, from discovery to initial evaluation through deployment. You will need to coordinate internally across multiple teams & stakeholders to drive customer success
Support customers building with both the Claude API and Claude for Work
Create and deliver compelling technical content tailored to different audiences across Japan. You will need to be able to spread the gamut from technical deep dives for engineering & development teams up to business value focused conversations with executives
Guide technical architecture decisions and help customers across Japan integrate Claude effectively into their existing technology stack
Help customers develop evaluation frameworks to measure Claude's performance for their specific use cases
Identify common integration patterns and contribute insights back to our Product and Engineering teams
Travel occasionally to customer sites for workshops, technical deep dives, and relationship building
Maintain strong knowledge of the latest developments in LLM capabilities and implementation patterns
Minimum qualifications
Experience in technical customer-facing roles such as Solutions Architect, Sales Engineer, or Technical Account Manager
Native-level Japanese fluency and business-level English required
Experience working with enterprise customers, navigating complex buying cycles involving multiple stakeholders
Exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders to include C-suite executives, engineering & IT teams, and more
Strong technical communication skills with the ability to translate customer requirements between technical and business stakeholders
Preferred qualifications
5+ years of relevant experience
Experience designing scalable cloud architectures and integrating with enterprise systems
Comfortable with python
Familiarity with common LLM frameworks and tools or a background in machine learning or data science
Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities
A love of teaching, mentoring, and helping others succeed
Excellent communication and interpersonal skills, able to convey complicated topics in easily understandable terms to a diverse set of external and internal stakeholders. You enjoy engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities
Passion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: San Francisco, CA | New York City, NY
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
As a Strategic Account Executive (Healthcare) at Anthropic, you'll join the foundational team at the forefront of introducing our frontier AI platform to healthcare organizations. You'll drive adoption of safe, frontier AI by securing strategic deals with health systems, hospitals, and payor organizations. You'll leverage your consultative sales expertise in healthcare to grow revenue while becoming a trusted partner to healthcare stakeholders — helping them embed and deploy AI while uncovering its full range of capabilities. In collaboration with Product and Marketing, you'll continuously refine our value proposition, sales methodology, and market positioning to resonate with healthcare decision-makers.
The ideal candidate has a passion for developing new market segments within healthcare delivery and insurance, pinpointing high-potential opportunities, and executing strategies to capture them. By driving deployment of Anthropic's emerging products, you'll help healthcare enterprises obtain new capabilities while advancing the ethical development of AI.
Key responsibilities
Own a book of strategic, high-value accounts across health systems, hospitals, and payor organizations — driving the full sales cycle from outbound to close and navigating complex organizations to reach key clinical, administrative, and payor decision-makers
Design and execute sales strategies tailored to healthcare procurement cycles, value-based care initiatives, and budgeting processes, translating market landscape and trend analysis into targeted account plans and campaigns that meet and exceed revenue targets
Identify and prioritize high-potential opportunities across clinical departments, care management teams, claims processing units, and administrative offices, partnering cross-functionally to differentiate Anthropic's offering for both healthcare delivery and payor use cases
Run a disciplined pipeline and forecasting cadence, managing an evolving sales process to deliver predictable, coachable performance against quota
Partner closely with Product and Applied AI to translate feedback from clinicians, care coordinators, and administrative leaders into product and roadmap input, strengthening Anthropic's value proposition for healthcare organizations
Codify learnings into playbooks, templates, and best practices, partnering with Marketing and Enablement to scale winning use cases and proof points across health systems and payors
Minimum qualifications
5+ years of enterprise sales experience in healthcare, with demonstrated success covering health systems, hospitals, and/or payor organizations
A track record of managing complex, multi-stakeholder sales cycles within healthcare organizations and securing strategic deals by understanding both technical requirements and clinical/administrative use cases
Extensive experience negotiating complex agreements within healthcare procurement frameworks, including value-based care contracts and payor policies
Proven experience exceeding revenue targets in healthcare by effectively managing an evolving pipeline and sales process
Excellent communication skills, with the ability to present confidently across healthcare audiences — from physicians and nurses to C-suite executives and payor leadership
A genuine interest in deploying AI responsibly and motivation to advance Anthropic's mission of building safe, beneficial AI
Preferred qualifications
Deep understanding of healthcare buying cycles, decision-making processes, and key pain points across both provider and payor organizations
A strategic, analytical approach to assessing the healthcare market, paired with creative, tactical execution to capture opportunities
Experience developing and refining healthcare AI use cases in collaboration with customers and channel partners, with particular focus on care delivery, population health, and administrative efficiency
Passion for and/or experience with advanced AI systems and their clinical applications, with strong conviction around safe, ethical development for AI in clinical use
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.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: United States & Canada
Workplace: Remote
About WorkOS 🚀
WorkOS builds modern developer tools and APIs that make it easy for companies to become Enterprise Ready. Our platform powers authentication, identity, authorization, and other critical infrastructure that developers need to securely scale their products to large organizations.
We recently raised a $100M Series C, valuing the company at $2B, led by Meritech and Sapphire with participation from Greenoaks, Craft, Abstract, and Audacious. WorkOS powers enterprise features for many of the fastest-growing AI companies, including OpenAI, Cursor, and Perplexity, Sierra, and Plaid.
As AI reshapes software, WorkOS is at the frontier of Human and Agent Authentication, Identity, and Access Control helping companies answer a new critical question: who are your agents, and what are they allowed to do? Our fast-growing customer base includes hundreds of modern software companies building the next generation of enterprise-ready products.
ABOUT THE ROLE
Feature Flags are a set of APIs and UI that enable B2B developers to safely roll out, control, and experiment with features across environments, customers, and regions. Our goal is to build the best possible developer and end-user experiences so customers can ship confidently, reduce risk, and accelerate their enterprise journey.
Our engineers obsess over the developer experience, actively seeking out feedback and new perspectives to inform the products we build. We’re searching for engineers who share this empathetic approach to solving problems. Successful candidates will love taking ideas from zero to one, creating beautiful software experiences with modern tools, and care deeply about creating the best possible products.
RESPONSIBILITIES
- Design and engineer delightful developer and end-user experiences
- Build a deep understanding of Feature Flags’ place in the market and increase its adoption
- Accrete developer trust by serving a highly available and secure product
- Speak with customers regularly to get feedback, debug issues, and remove points of friction
- Collaborate with other product teams, solutions engineering, and our go-to-market team
- Work directly with leadership on greenfield ideas
- Help recruit and assess future engineering team members
QUALIFICATIONS
- 5+ years of industry software development experience
- Experience working on small teams in fast-paced environments
- Background in crafting both polished UI/UX and API services end-to-end
- Intellectually curious, independently driven, and passionate about great products
- A growth mindset, high emotional intelligence, and strong communication skills
- Bonus: Experience working on a feature flags platform or product
- Bonus: Experience with our stack of TypeScript, React, and Postgres
- Bonus: Experience in B2B SaaS, developer tools, or a related industry
Benefits and Perks (US Only) 💖
At WorkOS, we offer resources that emphasize personal and familial well-being. We offer healthcare coverage for you and your family, including medical, dental, and vision. We offer parental leave, paid-time off and fully remote working arrangements.
- 401k matching
- Competitive Equity
- Healthcare, dental and vision coverage
- FSA, ST/LT Disability, Voluntary Life
- Carrot fertility benefits
- 20 days paid vacation + 10 holidays + unlimited sick leave
- 12 weeks fully paid parental leave
- Fitness: Monthly stipend for gyms, yoga classes, race registrations or whatever keeps you active
- Wellness: Monthly stipend for a massage, meditations class, therapy, or activities that enhance your well-being
- Commuter benefits for hybrid employees in SF/NYC
- Unlimited token usage!
Please inquire directly with our recruiting team for benefits available to those working outside the US.
Equal Opportunity Employer
WorkOS is an equal opportunity employer, committed to diversity and inclusiveness. We will consider all qualified applicants without regard to race, color, nationality, gender, gender identity or expression, sexual orientation, religion, disability or age.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Location: Hybrid - London, Berlin
About Vercel:
Vercel is the agentic infrastructure company, freeing people and agents to ship what's next. For more than a decade we've helped builders move from idea to production with speed, security, and exceptional developer experience.
Now we're scaling our products for both agents and people to ship and run software, built in the open and trusted by OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide.
About the role
As a Forward Deployed Engineer on the Professional Services team, you’ll work hands-on-keyboard inside strategic enterprise customers, modernizing legacy frontends to Next.js and building production AI agents. You’ll own the work from technical discovery to shipped TypeScript, whether that’s moving a React app to App Router, auditing a codebase for performance, or deploying agents with Vercel’s eve framework and AI SDK. The role has two profiles: Next.js experts focus on code optimization, performance audits, and SEO and AEO (answer engine optimization), while AI builders scope, design, and ship agents that prove their value. This is a hybrid role with 3 in-office days per week in London or Berlin.
What you’ll do
Build production AI agents, MCP servers, and agentic workflows with Vercel’s eve framework, AI SDK, and AI Cloud
Lead migrations from legacy React, Vue, and other frameworks to Next.js, including Pages Router to App Router, and automate them where possible
Audit customer codebases for performance bottlenecks and anti-patterns, and deliver roadmaps with measurable improvements
Architect Next.js applications with App Router, Server Components, streaming, and ISR for enterprise scale
Run workshops and pair programming so customer teams can maintain what you ship
What you need
6+ years of software engineering experience, including 2+ years in a customer-facing technical role (consulting, solutions architecture, forward deployed engineering, or technical founder)
Built and deployed web applications, backend systems, or agentic workflows using AI tooling such as harnesses, skills, and MCP servers
Expert-level TypeScript and React experience shipping production applications
Next.js experts: Led a legacy frontend migration to Next.js, or shipped a production Next.js application using App Router and Server Components
AI builders: Built production LLM agents, including sandbox and filesystem agent patterns and human-in-the-loop flows
Ran technical discovery and presented to executives at enterprise customers, with occasional travel to customer sites
Bonus if you
Led an enterprise AI initiative that shipped production agents replacing manual processes or legacy systems
Diagnosed and fixed LCP, CLS, and INP issues at scale
Contributed to Next.js, React, or AI SDK open source
Benefits:
Great compensation package and stock options.
Inclusive Healthcare Package.
Learn and Grow - we provide mentorship and send you to events that help you build your network and skills.
Flexible Time Off - Flexible vacation policy with a recommended 4-weeks per year, and paid holidays.
We will provide you the gear you need to do your role, and a WFH budget for you to outfit your space as needed.
Disclosures:
Privacy:
Please review our
Job Applicant Privacy Policy
for more information on how we handle your data.
Equal Opportunity:
Vercel is committed to fostering and empowering an inclusive community within our organization. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law. Vercel encourages everyone to apply for our available positions, even if they don't necessarily check every box on the job description.
Location: United States & Canada
Workplace: Remote
About WorkOS 🚀
WorkOS builds modern developer tools and APIs that make it easy for companies to become Enterprise Ready. Our platform powers authentication, identity, authorization, and other critical infrastructure that developers need to securely scale their products to large organizations.
We recently raised a $100M Series C, valuing the company at $2B, led by Meritech and Sapphire with participation from Greenoaks, Craft, Abstract, and Audacious. WorkOS powers enterprise features for many of the fastest-growing AI companies, including OpenAI, Cursor, and Perplexity, Sierra, and Plaid.
As AI reshapes software, WorkOS is at the frontier of Human and Agent Authentication, Identity, and Access Control helping companies answer a new critical question: who are your agents, and what are they allowed to do? Our fast-growing customer base includes hundreds of modern software companies building the next generation of enterprise-ready products.
About the role 💭
We're at an inflection point for what it means to build for developers and agents. The way engineers discover, integrate, and work with APIs is changing fast, and we're actively building the infrastructure to meet that shift.
Developers still integrate WorkOS, but increasingly their agents do it for them. This team owns every way into WorkOS that isn't the dashboard: SDKs in 9 languages, now generated from our API spec; an AI installer CLI that sets up AuthKit in any project; our MCP servers and agent skills; and other not released projects we're building in-house. You'd ship daily with agents as collaborators, and your code goes into other people's apps. The roadmap comes from watching real integrations: friction logs, shared customer Slack channels and telemetry.
The goal is that when a developer (or their agent) needs enterprise-ready auth, WorkOS is the easiest path forward regardless of stack, language, or how they're building.
What you'll work on
- Ship agent tools and skills so developers (and their agents) can integrate WorkOS without friction
- Write evaluations to measure whether what you ship actually improves developer outcomes
- Talk to customers, surface insights, and translate them into roadmap
- Contribute to the architecture and tooling for fully generated, polyglot SDK pipelines — so a change to the API propagates cleanly across all languages
- Own and evolve SDKs across our seven supported languages (Node/TypeScript, Python, Ruby, Go, Java, PHP, .NET) and framework libraries like our Next.js, Remix, and TanStack integrations
- Build and extend AI-native documentation systems as structured context that makes WorkOS work well in Cursor, Claude, Copilot, and agentic workflows
- Represent WorkOS publicly through docs, blog posts, OSS, and occasional conference appearances
- Build developer tooling like the WorkOS CLI that make complex integrations feel trivial
What we're looking for
- 5+ years of software development experience with a real track record of shipping and maintaining SDKs or OSS projects
- Deep fluency in at least three of our supported languages; you should have strong opinions about what idiomatic code looks like in each
- Experience with or genuine excitement about AI-native tooling: agent SDKs, context engineering, evals, LLM-powered CLIs
- Interest in documentation as infrastructure, not just prose
- Strong instincts for what makes a developer experience good vs. merely functional
- Experience owning projects end-to-end and driving decisions based on customer impact
Benefits and Perks (US Only) 💖
At WorkOS, we offer resources that emphasize personal and familial well-being. We offer healthcare coverage for you and your family, including medical, dental, and vision. We offer parental leave, paid-time off and fully remote working arrangements.
- 401k matching
- Competitive Equity
- Healthcare, dental and vision coverage
- FSA, ST/LT Disability, Voluntary Life
- Carrot fertility benefits
- 20 days paid vacation + 10 holidays + unlimited sick leave
- 12 weeks fully paid parental leave
- Fitness: Monthly stipend for gyms, yoga classes, race registrations or whatever keeps you active
- Wellness: Monthly stipend for a massage, meditations class, therapy, or activities that enhance your well-being
- Commuter benefits for hybrid employees in SF/NYC
- Unlimited token usage!
Please inquire directly with our recruiting team for benefits available to those working outside the US.
Equal Opportunity Employer
WorkOS is an equal opportunity employer, committed to diversity and inclusiveness. We will consider all qualified applicants without regard to race, color, nationality, gender, gender identity or expression, sexual orientation, religion, disability or age.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Location: Seoul, South Korea
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
We are seeking a Strategic Finance, GTM member to join our Finance team at Anthropic to partner with sales counterparts. In this role, you will be a key partner to our go-to-market teams, providing financial expertise and guidance to support strategic decision-making. As we continue to grow, you will play a crucial role in analyzing financial data, building models, and delivering insights to drive informed business decisions across revenue goals, sales capacity planning, deal desk and marketing spend returns. This role will work closely with cross-functional teams and collaborate with other members of the finance organization to align go-to-market strategies with broader financial considerations.
Key responsibilities
Provide expert guidance, recommendations, and influence to go-to-market stakeholders on financial strategies, investments, and resource allocation decisions, leveraging an in-depth understanding of the company's financials
Partner cross-functionally to drive analysis, build financial models, and recommend business decisions across a variety of areas, such as revenue goals, sales capacity planning and key strategic initiatives
Prepare and deliver clear, concise, and insightful financial reports, analyses, and forecasts, highlighting key trends, risks, and opportunities to facilitate informed decision-making to stakeholders and executives
Collaborate with other members of strategic finance, FP&A, and accounting counterparts, helping to align go-to-market with broader financial strategies and considerations
Establish and implement reporting dashboards and scorecards to track key operational and financial metrics
Minimum qualifications
Experience across strategic finance, go-to-market finance, private equity, growth equity, venture capital, consulting, and investment banking
Exceptional analytical skills with an ability to synthesize data into compelling insights and develop / maintain complex financial operating models
Extraordinary problem-solving and critical thinking abilities to navigate complex financial challenges
Comfort working cross-functionally and are adept at communicating complex financial information to non-finance audiences
Excitement about working in a fast paced, dynamic environment and adapt well to change
Possess a bias towards action, strong work ethic, and have experience driving operational outcomes under tight timelines
Strong relationship building, business judgment, process management, and communication skills
Are passionate about Anthropic's mission to build safe, transformative AI systems
Preferred qualifications
10+ years of experience across strategic finance, go-to-market finance, private equity, growth equity, venture capital, consulting, and investment banking
GTM Finance Business Partnership experience
A combination of 10+ years in strategic finance, paired with several years prior across private equity, growth equity, venture capital, consulting, and investment banking
Experience with consumption based and/or complex business models
High knowledge of and interest in effective go-to-market strategies including deal-desk management
Background in AI, ML, or related technologies
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Redwood City, CA
WHAT IS BOX?
Box (NYSE:BOX) is the leader in Intelligent Content Management. Our platform enables organizations to fuel collaboration, manage the entire content lifecycle, secure critical content, and transform business workflows with enterprise AI. We help companies thrive in the new AI-first era of business. Founded in 2005, Box simplifies work for leading global organizations, including JLL, Morgan Stanley, and Nationwide. Box is headquartered in Redwood City, CA, with offices across the United States, Europe, and Asia.
By joining Box, you will have the unique opportunity to continue driving our platform forward. Content powers how we work. It’s the billions of files and information flowing across teams, departments, and key business processes every single day: contracts, invoices, employee records, financials, product specs, marketing assets, and more. Our mission is to bring intelligence to the world of content management and empower our customers to completely transform workflows across their organizations. With the combination of AI and enterprise content, the opportunity has never been greater to transform how the world works together and at Box you will be on the front lines of this massive shift.
WHY BOX NEEDS YOU
Our Technical Program Management team is helping to lead the charge on the shift towards AI. We are driving the execution and delivery of Box's most strategic programs and portfolios, focusing on realizing Box’s long-term vision of content + AI. As system thinkers, we are optimizing business operations and delivery for Engineering and Product while collaborating company-wide to maximize efficiency.
We are seeking a seasoned Staff Technical Program Manager to lead complex, high-impact programs that accelerate Box’s transition into the modern AI-powered development ecosystem for both our teams and customers. In this role, you will drive cross-functional initiatives from strategy through execution, partnering with business and technology leaders across the organization to ensure successful outcomes. You will bring structure to ambiguity, proactively manage milestones, dependencies, and delivery risks, and ensure programs are executed with clarity, speed, and quality. The ideal candidate thrives in collaborative environments, communicates effectively across stakeholders, and is passionate about leveraging technology to deliver meaningful customer impact.
WHAT YOU'LL DO
Autonomously manage and drive alignment and execution for successful delivery of strategic, cross-functional and complex technical programs across Box. You will independently manage programs and portfolios by breaking down ambitious objectives into interconnected workstreams with clear milestones, success criteria, dependencies, and execution plans. Clearly identifying the constraints and needed trade-offs and getting ahead of risks.
You are a change agent, fostering operational excellence by driving organizational transformation and cultivating a high-performance ecosystem by creating AI-first process that facilitates successful execution and delivery. Leverage in-house built and emerging AI tools to bring visibility into the program ecosystem.
Have a seat at the table - strategic influence - You act as a key partner to executive leadership, influencing product roadmaps, champion critical technical initiatives, and drive organizational change across cross-functional teams.
Mentor and coach other TPMs by facilitating knowledge sharing, providing guidance on complex program execution, and guiding the adoption of best practices.
WHO YOU ARE
We are an AI-first company. This means you approach your work with a growth mindset and find ways to leverage AI to help make faster, smarter decisions that will 10X your impact at Box.
You are proactive, self-driven and thrive in ambiguity - you are able to drive teams toward clarity in complex environments.
Strong track record of driving complex cross-functional initiatives
Excellent oral and written communication with a strong ability to lead with influence and partner with executive stakeholders across multiple organizations to ensure alignment, mitigate risks, manage competing priorities, and allocate resources
Exhibit independent, critical thinking to navigate through ambiguity from a vague problem to a detailed solution with passion for hands on contribution
Self-motivated and proactive with a proven ability to adapt well in a fast paced tech company and collaborate closely with teams on different operating cadences.
Extensive experience and proficient understanding of standard Agile and Software Development Lifecycle and program management tools including Confluence, Jira, and Smartsheet.
Detail-oriented and able to understand the bigger picture by using your technical expertise and problem solving abilities to prioritize and manage key challenges.
Demonstrated in you career deep technical experience in software development engineering or system reliability engineering
PREFERRED SKILLS
Experience with working Agent Orchestrated software development and/or experience building AI into products
Experience using AI and tool chain (e.g. cursor, claude, codex) to automate manual processes to improve your and your team’s productivity
7+ years in technical program management, driving large cross-functional programs and initiatives in fast-paced tech companies
12+ years experience in a tech field
B.S. in Computer Science, Engineering, or a related technical field
Demonstrated ability to coach and mentor TPM teammates
Box lives its values, with community and in-person collaboration being a core part of our culture. Boxers are expected to work from their assigned office a minimum of 3 days per week.Your Recruiter will share more about how we work and company culture during the hiring process.
At Box, we believe unique and diverse experiences benefit our culture, our products, our customers, our company, and our world. We aim to recruit a passionate, high-performing workforce that reflects the world we live in.
If you are head-over-heels about this role but unsure if you meet all the requirements, we encourage you to apply!
EQUAL OPPORTUNITY
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability, and any other protected ground of discrimination under applicable human rights legislation. Box strives to respect the dignity and independence of people with disabilities and is committed to giving them the same opportunity to succeed as all other employees. Inclusiveness is core to our culture at Box, and we strive to ensure you get the most from your interview experience.
Box makes reasonable accommodations for applicants with disabilities. If a reasonable accommodation is needed to participate in the job application or interview process, please complete
this form
. Reasonable accommodations may include scheduling adjustments, document dictation and beyond.
Notice to applicants in Los Angeles: Box, Inc and its related branches will consider for employment, qualified applicants with criminal histories in a manner consistent with the Los Angeles Fair Chair Ordinance. The Fair Chance Ordinance is provided
here
.
Notice to applicants in San Francisco: Box, Inc and its related branches will consider for employment, qualified applicants with criminal histories in a manner consistent with the San Francisco Fair Chair Ordinance. The Fair Chance Ordinance is provided
here
.
For details on how we protect your information when you apply, please see our
Personnel Privacy Notice.
If you are a California-resident, please read our California Applicant & Candidate Privacy Notice
here
.
NOTICE OF USE OF AI
At Box, we believe in the power of AI to improve the recruiting process while keeping people at the heart of every decision. For more information on the use of AI in our hiring process, please visit our webpage
here
.
#hybrid
#LI-Hybrid
Box is committed to fair and equitable compensation practices. Actual base salary (or OTE if commissionable role) is dependent upon factors such as: knowledge, skill level, experience, and work location. This role is also eligible for equity and benefits.
For more information
, check out our
benefits and perks
.
In accordance with OFCCP compliance, here is the
Pay Transparency Provision
.
Redwood City Pay Range
$217,000
—
$271,000 USD
Location: San Francisco, CA | New York City, NY
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
As a Mid-Market Account Executive on Anthropic's High Tech team, you'll drive the adoption of safe, frontier AI by securing strategic deals with tech-forward mid-market companies, unlocking new value streams throughout their business. The role sits at the intersection of consultative selling and technical fluency, helping customers empower their workforce, accelerate processes, and build products with Claude. In collaboration with GTM, Product, Engineering, and cross-functional teams, you'll continuously refine our value proposition, sales methodology, and market positioning to ensure differentiated value across the ecosystem.
You will be contributing to the GTM strategy for our High Tech team, focusing on sector-specific solutions and strategies within key verticals. In addition, the Mid-Market team is pioneering a new scaled sales playbook, where human AEs direct AI Agents to automate key elements of the buyer’s journey, while maintaining human engagement with prospects in the elements of a sales process that can’t be automated.
Responsibilities:
Run an end-to-end sales cycle, from first outbound to launch
Win new business and expand existing accounts
Build and execute sales strategies that drive quota attainment. Identify market opportunities, generate pipeline, and drive revenue
Become a trusted advisor to customers, understanding their unique needs and crafting tailored AI solutions
Leverage your technical aptitude to earn credibility with engineers, product leaders, and executives
Shape product roadmaps by gathering customer feedback and translating market needs into actionable insights for Product and Engineering teams
Contribute to the Mid-Market GTM strategy by sharing learnings, refining playbooks, and identifying process improvements that make the team more effective
You may be a good fit if you have:
4+ years of enterprise sales experience driving adoption of emerging technologies with a consultative, solutions-oriented sales approach
Proven experience exceeding revenue targets in fast-paced organizations by effectively managing an evolving pipeline and sales process
Demonstrated ability to navigate dynamic stakeholder ecosystems, building consensus and providing innovative solutions to disparate groups
Extensive experience negotiating highly complex, customized commercial agreements with multiple stakeholders
Excellent communication skills with the ability to build trust and credibility with C-level executives
Experience automating workflows or building automations to handle the repeatable components of a sales process
A passion for and/or experience with advanced AI systems. You feel strongly about ensuring frontier AI systems are developed safely
Location:
This role does require being in office 4x a week in one of our hubs
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:
$290,000
—
$380,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: New York City, NY; San Francisco, CA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
As a Growth Account Executive, Startups at Anthropic, you'll manage a portfolio of startup customers and help them harness the transformative potential of safe, frontier AI. This role is designed for early-career sales professionals who thrive in fast-paced environments and are excited about building scalable engagement models. You'll leverage Claude and other tools to efficiently serve a large customer base while identifying high-potential accounts for growth.
The ideal candidate will combine strong foundational sales skills with intellectual curiosity about AI and a passion for process improvement. You'll develop playbooks for scaled customer engagement that benefit the entire Growth AE organization, while building the skills to advance into more senior AE roles.
Responsibilities:
Manage a portfolio of ~80 startup accounts, maintaining high retention and identifying expansion opportunities
Build and execute scalable engagement models using Claude and automation to efficiently serve a high-volume customer base
Identify breakout accounts with high growth potential and ensure smooth transitions to expanded coverage when appropriate
Develop and document best practices for scaled customer engagement that can be shared across the Growth AE organization
Conduct streamlined account health checks and identify early warning signs of churn risk
Partner with customers to understand their business models and product, advising them through their AI transformation, and gathering feedback to inform product development
Collaborate with Applied AI and other cross-functional teams to support customer technical needs
You may be a good fit if you have:
3-5 years of experience in sales, account management, customer success, or related roles
Demonstrated ability to manage multiple priorities and a high volume of customer relationships simultaneously
Strong communication skills with ability to build rapport quickly across various customer personas
Analytical mindset with comfort using data to prioritize accounts and identify trends
Enthusiasm for emerging technologies and genuine interest in AI
A "roll up your sleeves" mentality and comfort operating in ambiguous, fast-changing environments
Strong candidates may have:
Experience with consumption-based or usage-based pricing models
Familiarity with technical products, APIs, or developer-focused solutions
Experience working with startup customers or in a high-growth startup environment
Exposure to AI/ML concepts and applications
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:
$222,800
—
$290,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: London, UK
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
We are looking for software engineers to help build the foundational pieces for safety, oversight and intervention mechanisms of our AI systems. As a software engineer on the Safeguards team, you will work to monitor models, prevent misuse, and ensure user well-being. This role will focus on building systems to detect unwanted model behaviors and prevent disallowed use of models. You will apply your technical skills to uphold our principles of safety, transparency, and oversight.
Responsibilities:
Develop the foundational systems which power Safeguards, including infrastructure for data storage and management, metric and evaluation systems, and tooling for human and agentic review.
Ensure the day-to-day running of Safeguards systems and hold a high operational bar which serves both safety and customers while reducing the amount of human intervention and oversight required.
Build robust and reliable multi-layered defenses for real-time improvement of safety mechanisms that work at scale
You may be a good fit if you have:
Bachelor’s degree in Computer Science, Software Engineering or comparable professional experience
Proficiency in Python
Ability to work across the stack
Strong communication skills and ability to explain complex technical concepts to non-technical stakeholders
Strong candidates may also:
7+ years of experience in a software engineering position
Have experience building trust and safety, anti-spam, fraud or abuse detection and mitigation mechanisms and interventions for AI/ML systems
Have experience building metrics and measurement systems or data and privacy management systems
Have worked closely with operational teams to build custom internal tooling
Be proficient in TypeScript or Rust
Have experience with Claude Code or similar agentic coding tools
Deadline to apply:
None. Applications will be reviewed on a rolling basis.
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
£325,000
—
£395,000 GBP
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: New York City, NY; San Francisco, CA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
As a Strategic Account Executive (Life Sciences) at Anthropic, you'll join the foundational team introducing our frontier AI platform to the world's leading life sciences organizations. You'll drive adoption of safe, frontier AI by securing strategic, enterprise-scale deals across pharmaceutical, biotechnology, and research organizations. You'll leverage deep life sciences sales expertise to grow revenue while becoming a trusted advisor to industry stakeholders — helping them embed AI into R&D, clinical development, and commercial workflows, and uncovering its full range of capabilities. Working closely with Product and Marketing, you'll continuously sharpen our value proposition, sales motion, and market positioning for life sciences decision-makers.
The ideal candidate is energized by building a new category in an established, highly regulated industry — identifying high-potential accounts across pharmaceutical, biotech, and research organizations, and running the strategies to win them. By driving deployment of Anthropic's emerging products into life sciences enterprises, you'll help these organizations unlock new capabilities while advancing the responsible development of AI.
Key responsibilities
Own a book of strategic, high-value accounts across pharmaceutical, biotechnology, and research organizations, carrying and exceeding an individual revenue target
Engage personally with C-level and senior technical stakeholders (CIOs, CTOs, Heads of R&D, Heads of Data/AI) — building business cases and value narratives, and navigating complex procurement, security, regulatory, and legal review through to production deployment and expansion
Identify and prioritize high-potential opportunities within your accounts, building and executing account plans that turn strategic relationships into committed revenue
Run a disciplined pipeline and forecasting cadence — accurate deal inspection, clear next steps, and predictable, coachable execution across a high-value, long-cycle book of business
Partner closely with Applied AI, Solutions Architecture, and Product to design solutions, prove value quickly, and translate life sciences-specific needs — R&D, clinical development, commercial — into product and roadmap input
Codify winning use cases, proof points, and reference stories from your deals, partnering with Marketing and Enablement to help scale them across the broader life sciences motion
Orchestrate cross-functional and partner motions with Customer Success, Legal, Partnerships, and cloud partners to deliver a seamless customer experience, and represent Anthropic as a visible, trusted voice with customers and at industry events
Minimum qualifications
5+ years of enterprise sales experience in life sciences, with demonstrated success covering bio, pharma, and research organizations
A track record of carrying and exceeding quota in enterprise sales of technical, complex products (API-first platforms, cloud infrastructure, data/ML platforms, or enterprise SaaS)
Experience winning and growing strategic enterprise accounts, including building C-suite relationships, within life sciences (pharmaceutical, biotechnology, or research organizations)
Operational rigor across complex, multi-stakeholder sales cycles — balancing velocity with deal quality and forecasting accurately in fast-changing environments
Credibility with technical buyers and builders — CIOs, CTOs, CDOs, Heads of AI/ML — and experience pairing effectively with solutions architects and applied AI teams
A genuine interest in deploying AI responsibly and motivation to advance Anthropic's mission of building safe, beneficial AI
Preferred qualifications
Experience bringing generative AI or LLM-based products, or other emerging platform technologies, to large pharmaceutical or biotechnology companies
Deep familiarity with regulated-industry selling — GxP compliance, data governance, regulatory and compliance-driven procurement, security review, and the governance expectations of pharma/biotech organizations
Experience selling with and through cloud and ecosystem partners such as AWS, Google Cloud, and global systems integrators
Familiarity with consumption- or usage-based commercial models and value-based pricing conversations
Experience navigating long, multi-stakeholder enterprise cycles (12+ months) typical of biopharma R&D and drug development procurement
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:
$290,000
—
$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.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
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