Your tasks will include:

• Leading and developing the Practice Data Science & AI Engineering - technically and disciplinarily - and scaling teams, structures, and competences
• Being responsible for the strategic further development of our AI portfolio - especially in the areas of machine learning, computer vision, physical AI, and quantum computing
• Defining technical standards and reference architectures for AI, vision, and edge systems
• Identifying new use cases (e.g., visual quality inspection, autonomous systems, intelligent sensors, generative design) and developing scalable solutions for our customers
• Driving business development forward, developing offer portfolios, and supporting presales through technical solution designs
• Being responsible for expanding your team and managing the economic steering of the practice (e.g., utilization, growth, profitability)

To be well-prepared for your path, you should have the following qualifications:

• Completed studies and several years of experience in building and leading technical teams or practices
• Passion for implementing complex AI or vision projects and technical solution design and presales
• Expertise in relevant technologies such as Python, TensorFlow, PyTorch, OpenCV, Kubernetes, and cloud or edge platforms (AWS, Azure, GCP)
• Knowledge in machine learning, AI systems, and computer vision and physical AI
• Your work style is characterized by analytical thinking, leadership, pragmatism, and strong team and customer orientation

Important information before departure:

• Start date: after agreement - always at the beginning of a month
• Working hours: full-time (40 hours) and/or part-time possible; 30 vacation days
• Employment relationship: Unlimited
• Field: Consulting
• Language: Secure German and English
• Flexibility and travel readiness
• Other: Valid work permit; if necessary, we can apply for a work permit within our recruitment process. The procedure takes time and affects the start date

As a technology and business partner, MHP digitalizes processes and products for its customers and accompanies them in their IT transformations along the entire value chain. With over 25 years of experience, MHP has grown to become a leading player in the industry, with a global presence and a team of over 3,000 experts. MHP's mission is to drive excellence and sustainable success, and the company is committed to delivering high-quality services and solutions to its customers.

At MHP, you will have the opportunity to grow and develop your skills in a dynamic and supportive environment. We offer a range of benefits, including flexible working hours, a comprehensive training program, and opportunities for professional development. Our team is passionate about innovation and customer satisfaction, and we are committed to making a positive impact on our customers' businesses.

If you are interested in this opportunity, please submit your application through our job locator. We look forward to hearing from you!

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This is a fully remote, 1099 independent contractor opportunity with an estimated duration of six months and the potential for extension. To be eligible, candidates must be authorised to work in the United States; visa sponsorship is not available for this role.

About the Program

The Human Frontier Collective (HFC) Fellowship brings together top researchers and domain experts to collaborate on high-impact work that are shaping the future of AI. As an HFC Fellow, you’ll apply your academic and professional expertise to help design, evaluate, and interpret advanced generative AI systems,while gaining exposure to cutting-edge research and working alongside an interdisciplinary network of leading thinkers.

Responsibilities

• Collaborative Work: Get invited to engage in high-impact projects with our partnered AI labs and platforms. Design complex clinical scenarios, evaluate model decision-making for safety and accuracy, and shape reasoning frameworks through structured, example-driven feedback.
• HFC Community: Beyond the work, you’ll become part of a supportive, interdisciplinary network of innovators and thought leaders committed to advancing frontier AI across domains.
• Contribute to Research Publications: Collaborate with Scale’s research team to co-author technical reports and research papers,boosting your academic visibility and professional recognition (e.g., SciPredict, PropensityBench, Professional Reasoning Benchmark).

Requirements

• Education: Medical degree required (MD, DO) with board certification; open to residents, practicing clinicians, or those with extensive clinical experience.
• Specialties: Internal medicine, emergency medicine, radiology, surgery, psychiatry, and related fields.
• Skills: Strong clinical reasoning and writing skills, with the ability to assess complex, nuanced, or edge-case scenarios.
• Professional Mindset: Detail-oriented, innovative thinker with a passion for financial technology and a commitment to collaboration. Prior experience with AI is not required, but a plus.

Benefits

• Advance Medical AI Solutions: Apply your clinical expertise to tackle complex, real-world healthcare challenges where your judgment shapes advanced AI reasoning and patient care decisions.
• Professional Development: High-impact medical experts expand their influence through review projects, advisory roles, and research,while deepening their AI expertise, enhancing clinical reasoning skills, and gaining hands-on experience with cutting-edge healthcare AI technologies.
• Join a Top-Tier Network: Collaborate with a global network of academics and experts to advance responsible AI through impactful, flexible research and training. 80% of our members come from leading institutions.
• Flexible Schedule: Set your own schedule, with flexible 10–40 hour weeks that fit around your life and other commitments.
• Competitive Pay: Project pay rates vary across platforms and are depending on a number of factors, including but not limited to; projects, scope, skillset, and location.

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You'll be hands-on: write specs, prototype solutions, dig into technical architecture with engineers, and make product calls grounded in real technical understanding. You'll design and ship AI-powered products and tooling for defense and national security workflows, working side-by-side with engineering and ML teams.

You'll use customer context to inform what you build , understand allied defense workflows deeply enough to make opinionated product decisions, not just relay requirements. You'll navigate the unique constraints of defense product development across allied nations , classification environments, accreditation processes, air-gapped deployments , or be ready to learn these fast.

Ideally, you'd have a builder mentality: you're energized by going from zero to one, not by managing from a distance. You'll have 8+ years of experience in software engineering, ML engineering, or a deeply technical product role where you were hands-on with what shipped. You'll have technical fluency: software engineering or ML background (master's degree in computer science or equivalent experience).

Please note that our policy requires a 90-day waiting period before reconsidering candidates for the same role.

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You'll drive the adoption of safe, frontier AI by securing strategic deals with CPG brands. You'll leverage your consultative sales expertise in the CPG sector to propel revenue growth while becoming a trusted partner to CPG stakeholders, helping them embed and deploy AI while uncovering its full range of capabilities in brand management, supply chain, and category planning.

In collaboration with GTM, Product, and Marketing teams, you'll continuously refine our value proposition, sales methodology, and market positioning to resonate with CPG decision-makers.

The ideal candidate will have a passion for developing new market segments, pinpointing high-potential opportunities, and executing strategies to capture them. By driving deployment of Anthropic's emerging products, you will help enterprises obtain new capabilities while also advancing the ethical development of AI.

Responsibilities:

• Win new business and drive revenue for Anthropic within the CPG sector. Navigate complex CPG organisations to reach key decision-makers, educate them about our services, and help them succeed with Anthropic. You'll own the full sales cycle, from first outbound to close
• Design and execute innovative sales strategies tailored to CPG procurement cycles and budgeting processes to meet and exceed revenue quotas. Analyze CPG market landscapes, trends, and dynamics to translate high-level plans into targeted sales activities and campaigns
• Spearhead market expansion by identifying new use cases within brand teams, supply chain functions, and commercial operations. Collaborate cross-functionally to differentiate our offerings for CPG applications
• Navigate complex CPG stakeholder ecosystems including executives, administrators, IT departments, and procurement offices to build consensus
• Inform product roadmaps and features by gathering feedback from users and conveying CPG market needs. Provide insights that strengthen our value proposition for CPG
• Continuously refine the CPG sales methodology by incorporating learnings into playbooks, templates, and best practices. Identify process improvements that optimize sales productivity and consistency

Requirements:

• 8+ years of B2B sales experience in SaaS, API solutions, or emerging technologies
• A track record of managing complex sales cycles within CPG organisations and securing strategic deals by understanding both technical requirements and CPG use cases
• Demonstrated ability to navigate CPG organisational structures and procurement processes, building consensus among diverse stakeholders including executives, administrators, and IT departments
• Extensive experience negotiating complex agreements within CPG procurement frameworks and policies
• Proven experience exceeding revenue targets by effectively managing an evolving pipeline and sales process
• Excellent communication skills and the ability to present confidently to various CPG audiences, from brand managers and category leads to senior executives
• Deep understanding of CPG buying cycles, decision-making processes, and key pain points
• A strategic, analytical approach to assessing the CPG market combined with creative, tactical execution to capture opportunities
• A passion for and/or experience with advanced AI systems and their applications. You feel strongly about ensuring frontier AI systems are developed safely and ethically for CPG use

Benefits:

• Annual Salary: £280,000-£330,000 GBP
• Competitive compensation and benefits
• Optional equity donation matching
• Generous vacation and parental leave
• Flexible working hours
• Lovely office space in which to collaborate with colleagues

How to Apply:

If you're interested in this opportunity, please submit your application through our website. We look forward to hearing from you!

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You will combine your deep technical expertise with customer-facing skills to architect innovative LLM solutions that address complex mission 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.

Responsibilities:

• Partner with account executives 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 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 Claude Code, the Claude API, and Claude for Enterprise

• Create and deliver compelling technical content tailored to different audiences. 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 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 frequently to customer sites for workshops, technical deep dives, and relationship building

• Maintain strong knowledge of the latest developments in LLM capabilities and implementation patterns

You may be a good fit if you have:

• TS/SCI clearance required

• Must have prior experience working with US national security (defense and/or intelligence) agencies

• 5+ years of experience in technical customer-facing roles such as Solutions Architect, Sales Engineer, or Technical Account Manager

• Experience 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

• Experience designing scalable cloud architectures and integrating with enterprise systems

• Familiar 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

The annual compensation range for this role is $240,000-$270,000 USD.

Logistics:

• Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience

• Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience

• Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position

Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.

Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work.

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

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For example, you might do any or all of the following:

• Design and build harnesses to test AI models and systems (including agents) for dangerous capabilities such as security vulnerability exploitation, CBRN uplift, and other high-risk activities;

• Work with government agencies or other labs to collectively scope and design evaluations to measure and mitigate risks posed by advanced AI systems;

• Publish evaluation methodologies and write technical reports for policymakers.

We are seeking talented researchers to join us in shaping this vision.

Ideally you'd have:

• Commitment to our mission of promoting safe, secure, and trustworthy AI deployments in the industry as frontier AI capabilities continue to advance;

• Practical experience conducting technical research collaboratively. You should be comfortable building and instrumenting ML pipelines, writing evaluation harnesses, and quickly turning new ideas from the research literature into working prototypes;

• A track record of published research in machine learning, particularly in generative AI;

• At least three years of experience addressing sophisticated ML problems, whether in a research setting or in product development;

• Strong written and verbal communication skills to operate in a cross-functional team.

Nice to have:

• Experience in crafting evaluations and benchmarks, or a background in data science roles related to LLM technologies;

• Experience with red-teaming or adversarial testing of AI systems;

• Familiarity with AI safety policy frameworks (e.g., NIST AI RMF, EU AI Act, Korea AI Basic Act).

Our research interviews are crafted to assess candidates' skills in practical ML prototyping and debugging, their grasp of research concepts, and their alignment with our organisational culture. We will not ask any LeetCode-style questions. If you’re excited about advancing AI safety and contributing to our mission, we encourage you to apply, even if your experience doesn’t perfectly align with every requirement.

Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity-based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.

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This role focuses on pushing the frontier of reward modeling for large language models. You'll develop novel architectures and training methodologies for RLHF, research new approaches to LLM-based evaluation and grading (including rubric-based methods), and investigate techniques to identify and mitigate reward hacking. You'll collaborate closely with teams across Anthropic, including Finetuning, Alignment Science, and our broader research organization, to ensure your work translates into concrete improvements in both model capabilities and safety.

We're looking for someone who can drive ambitious research agendas while also shipping practical improvements to production systems. You'll have the opportunity to work on some of the most important open problems in AI alignment, with access to frontier models and significant computational resources. Your work will directly advance the science of how we train AI systems to be both highly capable and safe.

Responsibilities:

• Lead research on novel reward model architectures and training approaches for RLHF
• Develop and evaluate LLM-based grading and evaluation methods, including rubric-driven approaches that improve consistency and interpretability
• Research techniques to detect, characterize, and mitigate reward hacking and specification gaming
• Design experiments to understand reward model generalization, robustness, and failure modes
• Collaborate with the Finetuning team to translate research insights into improvements for production training pipelines
• Contribute to research publications, blog posts, and internal documentation
• Mentor other researchers and help build institutional knowledge around reward modeling

You may be a good fit if you

• Have a track record of research contributions in reward modeling, RLHF, or closely related areas of machine learning
• Have experience training and evaluating reward models for large language models
• Are comfortable designing and running large-scale experiments with significant computational resources
• Can work effectively across research and engineering, iterating quickly while maintaining scientific rigor
• Enjoy collaborative research and can communicate complex ideas clearly to diverse audiences
• Care deeply about building AI systems that are both highly capable and safe

Strong candidates may also

• Have published research on reward modeling, preference learning, or RLHF
• Have experience with LLM-as-judge approaches, including calibration and reliability challenges
• Have worked on reward hacking, specification gaming, or related robustness problems
• Have experience with constitutional AI, debate, or other scalable oversight approaches
• Have contributed to production ML systems at scale
• Have familiarity with interpretability techniques as applied to understanding reward model behavior

The annual compensation range for this role is $350,000-$500,000 USD.

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For example, you might:

• Research the science of AI agent capabilities with a focus on how they relate to safety, risk factors, and methodologies for benchmarking them;
• Design and build harnesses to test AI agents' tendency to take harmful actions when pressured to do so by users or tricked into doing so by elements of their environment;
• Design and build exploits and mitigations for new and unique failure modes that arise as AI agents gain affordances like coding, web browsing, and computer use;
• Characterize and design mitigations for potential failure modes or broader risks of systems involving multiple interacting AI agents.

Ideally you'd have:

• Commitment to our mission of promoting safe, secure, and trustworthy AI deployments in the industry as frontier AI capabilities continue to advance;
• Practical experience conducting technical research collaboratively;
• Experience with post-training and RL techniques such as RLHF, DPO, GRPO, and similar approaches;
• A track record of published research in machine learning, particularly in generative AI;
• At least three years of experience addressing sophisticated ML problems, whether in a research setting or in product development;
• Strong written and verbal communication skills to operate in a cross-functional team.

Nice to have:

• Hands-on experience with agent evaluation frameworks such as SWE-bench, WebArena, OSWorld, Inspect, or similar tools;
• Experience with red-teaming, prompt injection, or adversarial testing of AI systems.

Our research interviews are crafted to assess candidates' skills in practical ML prototyping and debugging, their grasp of research concepts, and their alignment with our organisational culture. We will not ask any LeetCode-style questions. If you're excited about advancing AI safety and contributing to our mission, we encourage you to apply, even if your experience doesn't perfectly align with every requirement.

Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity-based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.

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The ideal candidate will have 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 will help healthcare enterprises obtain new capabilities while also advancing the ethical development of AI.

Responsibilities:

• Win new business and drive revenue for Anthropic within the healthcare industry, focusing on health systems, hospitals, and payor organisations. Navigate complex healthcare organisations to reach key decision-makers, educate them about our services, and help them succeed with Anthropic. You'll own the full sales cycle, from outbound to close.

• Design and execute innovative sales strategies tailored to healthcare procurement cycles, value-based care initiatives, and budgeting processes to meet and exceed revenue quotas. Analyse healthcare market landscapes, trends, and dynamics to translate high-level plans into targeted sales activities and campaigns.

• Spearhead market expansion by identifying new use cases within clinical departments, care management teams, claims processing units, and administrative offices. Collaborate cross-functionally to differentiate our offerings for healthcare delivery and payor applications.

• Inform product roadmaps and features by gathering feedback from healthcare users including clinicians, care coordinators, and administrative leaders, conveying healthcare market needs. Provide insights that strengthen our value proposition for healthcare organisations.

• Continuously refine the healthcare sales methodology by incorporating learnings into playbooks, templates, and best practices. Identify process improvements that optimise sales productivity and consistency across health systems and payors.

You may be a good fit if you have:

• 5+ years of enterprise sales experience in healthcare, with demonstrated success covering health systems, hospitals, and/or payor organisations

• A track record of managing complex sales cycles within healthcare organisations and securing strategic deals by understanding both technical requirements and clinical/administrative use cases

• Extensive experience negotiating complex agreements within healthcare procurement frameworks, including understanding of value-based care contracts and payor policies

• Proven experience exceeding revenue targets in the healthcare sector by effectively managing an evolving pipeline and sales process

• Excellent communication skills and the ability to present confidently to various healthcare audiences, from physicians and nurses to C-suite executives and payor leadership

• Deep understanding of healthcare buying cycles, decision-making processes, and key pain points across both provider and payor organisations

• A strategic, analytical approach to assessing the healthcare market combined with creative, tactical execution to capture opportunities

• A passion for and/or experience with advanced AI systems and their applications in healthcare. You feel strongly about ensuring frontier AI systems are developed safely and ethically for clinical use

• Ability to develop and refine healthcare use cases for AI in collaboration with customers and channel partners, with particular focus on care delivery, population health, and administrative efficiency

The annual compensation range for this role is $290,000-$435,000 USD.

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You'll leverage your consultative sales expertise to propel revenue growth while becoming a trusted partner to customers, helping them embed and deploy AI while uncovering its full range of capabilities.

In collaboration with GTM, product, and marketing teams, you'll continuously refine our value proposition, sales methodology, and market positioning to ensure differentiated value across the landscape.

Responsibilities:

• Win new business and drive revenue for Anthropic by finding the right people at prospective customers, educating them about LLMs, and helping them succeed with Anthropic.

• Design and execute innovative sales strategies to meet and exceed revenue quotas by analyzing market landscapes, trends, and dynamics.

• Spearhead market expansion by pinpointing new customer segments and use cases, collaborating cross-functionally to differentiate our offerings and sustain a competitive edge.

• Inform product roadmaps and features by gathering customer feedback and conveying market needs, providing insights that strengthen our value proposition and enhance the customer experience.

• Continuously refine the sales methodology by incorporating learnings into playbooks, templates, and best practices, identifying process improvements that optimize sales productivity and consistency.

Requirements:

• 5+ years of enterprise sales experience driving adoption of emerging technologies with a consultative, solutions-oriented sales approach.

• A track record of managing complex sales cycles and securing strategic deals by understanding multifaceted technical requirements and crafting tailored solutions.

• 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.

• Proven experience exceeding revenue targets in fast-paced organizations by effectively managing an evolving pipeline and sales process.

• Excellent communication skills and the ability to present confidently and build connections across all customer levels, from ICs to C-level executives.

• A knack for bringing order to chaos and an enthusiastic 'roll up your sleeves' mentality, being a true team player.

• A strategic, analytical approach to assessing markets combined with creative, tactical execution to capture opportunities.

• A passion for and/or experience with advanced AI systems, feeling strongly about ensuring frontier AI systems are developed safely.

Salary Range: $290,000-$360,000 USD per year.

Experience Level: executive Employment Type: full-time Workplace Type: hybrid Category: Sales Industry: Technology Required Skills: ["enterprise sales", "consultative sales", "emerging technologies", "complex sales cycles", "negotiating commercial agreements", "exceeding revenue targets", "communication skills", "strategic thinking", "analytical approach"] Preferred Skills: ["advanced AI systems", "machine learning", "data analysis", "market research"]

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You will partner across lines of business as you lead the technical evaluation and compel decision-makers to choose Airtable as their critical operational workflow management tool.

The Solutions Consulting team at Airtable sits at the confluence of Sales, Services, Product, and Marketing and takes a customer-centric approach to creating value through intentful listening, storytelling, expert guidance, tailored solutions, and applying a highly consultative process.

Responsibilities:

• Collaborate with the Pre-Sales teams to identify, qualify, and drive revenue opportunities at Enterprise accounts - net new and install motions

• Build meaningful relationships with and serve as a trusted advisor to a prospect or customer's technical teams

• Own the technical evaluation process showcasing customer-centric value within the context of the customer's unique requirements, workflows, and business process needs

• Translate the value of Airtable's tooling into the language of the customer

• Manage multiple sales cycles simultaneously, proactively communicating with stakeholders and prioritising effectively

• Consult with credibility, bringing a well-rounded and unique perspective with hands-on cross-functional experience,i.e., direct experience in marketing, program/project management, consulting, operations, etc.

• Inform the product team and ultimately the product roadmap with meaningful market potential findings

• Represent Airtable in every engagement with the utmost care

Requirements:

• Bilingual: Fluent in both English and German

• An experienced customer-centric professional with a well-balanced skillset spanning business acumen, technical knowledge, and effective communication skills

• 7+ years of experience in SaaS Pre-Sales

• 10+ years industry experience

• Experience managing sales cycles and owning the technical evaluation

• Working knowledge of Marketing, Product Operations, Retail MGMT, and other Business Units

• Knowledge of business operations - can make assumptions as it relates to value drivers for various personas and industries

• Understands best practices for structuring data in a relational database and database architecture

• Passionate about creating unique solutions for complex business problems

• Loves the spotlight - adaptable and compelling communicator and presenter, easily matches the language of the room, author and storyteller

• Thirst for knowledge - researcher, analyst, emerging trends enthusiast

• Technically savvy, demonstrating a deep understanding of enterprise integration methodologies, best practices and API architecture

• Low-code no-code application experience throughout the customer life cycle

• Knowledge of complementary technologies and products - including but not limited to data warehousing and AI systems

Benefits:

• Passion and creativity

• Autonomous and motivated

• Purposeful, thoughtful, and detail-oriented

• Effective time and project management

• Curiosity

• Other

Qualifications:

• BS/BA, MBA preferred or equivalent experience

• Airtable knowledge or certification preferred

• Command of the Message preferred

• Travel as needed

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In collaboration with the Sales, Product, Research, and Engineering teams, you’ll help national security partners develop strategies and implementation plans to integrate leading-edge AI systems into their mission. You will employ your excellent communication skills to explain and demonstrate complex solutions persuasively to technical and non-technical audiences alike. You also will play a critical role in identifying opportunities to innovate and differentiate our AI systems, while maintaining our best-in-class safety standards.

Key responsibilities include:

• Acting as a primary technical advisor for senior government leaders and prospective National Security customers evaluating Claude.
• Partnering closely with the policy team and sales account executives to understand customer requirements.
• Driving technical decision making by partnering on optimal setup, architecture, and integration of Claude into the customer's existing infrastructure.
• Traveling to customer sites for senior leader meetings, AI implementation, technical enablement, and building relationships.

To be successful in this role, you will need to have:

• Active TS/SCI security clearance.
• 2+ years of experience as a Customer Engineer, Forward Deployed Engineer, Sales Engineer, Solutions Architect, or Platform Engineer within the National Security space.
• Exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders.
• Strong technical aptitude to partner with engineers and proficiency in at least one programming language (Python preferred).
• Understanding of and experience with LLM fundamentals.
• Ability to navigate and execute amidst ambiguity, and to flex into different domains based on the business problem at hand.

The annual compensation range for this role is $270,000-$345,000 USD.

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As the Sr. Manager of Engineering in our newly opened NYC engineering hub, you will work closely with product and research on cutting-edge technologies and be responsible for launching and growing new products, playing a key role in defining the future of how AI and data applications are built.

The Databricks AI Gateway is an enterprise control plane for governing, routing, and monitoring LLM endpoints, coding agents, and model serving endpoints on Databricks. AI Gateway lets you standardize, secure, and observe all LLM inference traffic on Databricks, while capturing detailed production data to manage cost, performance, and quality over time.

Key responsibilities include:

• Leading teams building multiple products that enable our customers to use innovative ML/AI techniques to add value to their business
• Working closely with product and research on cutting-edge technologies
• Being responsible for launching and growing new products
• Playing a key role in defining the future of how AI and data applications are built

Requirements include:

• 8+ years of industry experience building and supporting large-scale data or production applications
• Experience building classic ML or GenAI systems
• A passion for building and scaling early-stage products
• Ability to adapt in a fast-paced environment
• Motivated by delivering customer value and impact
• Experience driving company initiatives towards customer satisfaction
• BS/MS/PhD in Computer Science or related majors, or equivalent experience

Pay Range Transparency: Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above.

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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.

Responsibilities:

• Partner with account executives 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 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. 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 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

You may be a good fit if you have:

• 5+ years of experience in technical customer-facing roles such as Solutions Architect, Sales Engineer, or Technical Account Manager

• Native German speaker with fluent English proficiency

• 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

• 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

Annual Salary: €190,000-€215,000 EUR

Logistics:

• Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience

• Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience

• Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position

Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.

Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.

Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links,visit anthropic.com/careers directly for confirmed position openings.

How we're different:

• We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact , advancing our long-term goals of steerable, trustworthy AI , rather than work on smaller and more specific puzzles.

• We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science.

• We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time.

• As such, we greatly value communication skills.

The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.

Come work with us!

Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate

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We are looking for an exceptional software engineer to join our team. As a software engineer at xAI, you will work on the most critical product or technical challenge at any given time.

Our team is small, highly motivated, and focused on engineering excellence. We operate with a flat organisational structure. All employees are expected to be hands-on and to contribute directly to the company's mission. Leadership is given to those who show initiative and consistently deliver excellence.

Responsibilities:

• Work on the most critical product or technical challenge at any given time.

Basic Qualifications:

• You believe truth-seeking AI is the most important and challenging problem.
• You take pride in your work and thrive in meritocratic environments.
• You are an exceptional software engineer.

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In this strategic role, you will be tasked with establishing a unified knowledge management and training strategy that can be re-architected to fully leverage AI, empowering the team and our global business partners to move faster and enabling employees to easily get the information they need to be productive in an AI-driven environment.

As a Sr. Training & Knowledge Management Manager, you will be responsible for:

• Strategizing and leading the development, championing, and execution of a multi-year strategic roadmap for the Legal team's Knowledge Management and Training program, ensuring alignment with broader organizational goals.

• Partnering across the organization (Sales Enablement, Okta University, and Learning & Development) to establish a unified, best-in-class approach for company-wide legal training topics.

• Designing, hosting, and producing engaging on-demand content and live training sessions for the Legal team and company-wide, including designing a scalable onboarding program for new Legal team hires.

• Leveraging broad legal knowledge and experience to actively create and build high-quality, relevant legal team content, ensuring it is both substantively sound and easy to consume.

• Strategically building and optimizing legal knowledge content for seamless ingestion by AI systems, ensuring the information is structured to effectively train, govern, and power internal AI models and bots for various use cases.

• Establishing standards for knowledge capture, lifecycle management, and governance, leveraging self-service technologies (e.g. AI-driven search, workflow automation, etc.) to maintain the knowledge base, dramatically reduce redundant inquiries, and enable employees to self-serve relevant information.

• Providing strategic oversight and professional guidance to the Training & Knowledge Management Specialist, driving departmental consistency and fostering career growth.

• Defining and reporting on sophisticated metrics (e.g. ROI, adoption rates, knowledge gaps, etc.) to the Director of Legal Operations to continually measure program effectiveness and inform future strategy.

• Proactively managing relationships with internal stakeholders to ensure all legal learning and knowledge management needs are anticipated and addressed.

This is an exciting opportunity to join a rapidly-growing team and contribute to the success of our organization. If you are a motivated and experienced professional with a passion for training and knowledge management, we encourage you to apply.

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Responsibilities:

• Win new business and drive revenue for Anthropic within the enterprise sector across DACH. Navigate complex enterprise organisations to reach key decision-makers, educate them about our services, and help them succeed with Anthropic. You'll own the full sales cycle, from first outbound to close.

• Design and execute innovative sales strategies tailored to enterprise procurement cycles and budgeting processes to meet and exceed revenue quotas. Analyse enterprise market landscapes, trends, and dynamics to translate high-level plans into targeted sales activities and campaigns.

• Spearhead market expansion by identifying new use cases within enterprise departments, innovation centres, and operational offices. Collaborate cross-functionally to differentiate our offerings for enterprise applications.

• Navigate complex enterprise stakeholder ecosystems including executives, administrators, IT departments, and procurement offices to build consensus across DACH business culture and practices.

• Inform product roadmaps and features by gathering feedback from enterprise users and conveying market needs from the DACH enterprise landscape. Provide insights that strengthen our value proposition for enterprise customers.

• Continuously refine the enterprise sales methodology by incorporating learnings into playbooks, templates, and best practices. Identify process improvements that optimise sales productivity and consistency.

You may be a good fit if you have:

• Native German speaker with excellent written and verbal communication skills in German and English.

• 8+ years of B2B sales experience in enterprise technology, preferably in SaaS or emerging technologies.

• Specialised sales industries experience: Telco, Manufacturing, Retail, Energy and Utilities.

• A track record of managing complex sales cycles within large enterprise organisations and securing strategic deals by understanding both technical requirements and business use cases.

• Demonstrated ability to navigate enterprise bureaucracies and procurement processes, building consensus among diverse stakeholders including executives, administrators, and IT departments.

• Extensive experience negotiating complex agreements within enterprise procurement frameworks and policies.

• Proven experience exceeding revenue targets in the enterprise sector by effectively managing an evolving pipeline and sales process.

• Excellent communication skills and the ability to present confidently to various enterprise audiences, from technical teams and business analysts to senior executives.

• Deep understanding of enterprise buying cycles, decision-making processes, and key pain points, particularly within the DACH market.

• A strategic, analytical approach to assessing the enterprise market combined with creative, tactical execution to capture opportunities.

• A passion for and/or experience with advanced AI systems and their applications in enterprise environments. You feel strongly about ensuring frontier AI systems are developed safely and ethically for business use.

What We Offer:

• Competitive base salary and commission structure.

• Equity participation in Anthropic's growth.

• Comprehensive benefits package.

• Opportunity to shape the AI industry in DACH and EMEA.

• Professional development and career growth opportunities.

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In collaboration with GTM, Product, and Marketing teams, you'll continuously refine our value proposition, sales methodology, and market positioning to resonate with financial decision-makers across Canada.

Key responsibilities include:

• Winning new business and driving revenue for Anthropic within the Canada financial services sector.
• Designing and executing innovative sales strategies tailored to the financial services procurement cycles across Canada markets.
• Spearheading market expansion across Canada financial departments, research centers, and administrative offices.
• Navigating complex financial stakeholder ecosystems across Canada markets, including executives, administrators, IT departments, and procurement offices.

To be successful in this role, you'll need:

• 5+ years of Canada financial services sales experience, including banking, insurance, fintech, or related sectors.
• A strategic, analytical approach to assessing Canada financial services markets combined with creative, tactical execution to capture opportunities.
• Extensive experience negotiating complex agreements within Canada financial services procurement frameworks and understanding regional regulatory requirements.
• Proven experience exceeding revenue targets in the financial services sector, with demonstrated ability to manage complex, multi-country deal cycles and navigate different regional requirements.
• Excellent communication skills and ability to present confidently to various audiences from technical experts to C-level executives across Canada financial institutions.

If you're passionate about ensuring frontier AI systems are developed safely and ethically for financial use across Canada, we'd love to hear from you!

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You'll drive the adoption of safe, frontier AI by securing strategic deals with manufacturing brands. You'll leverage your consultative sales expertise in the manufacturing sector to propel revenue growth while becoming a trusted partner to manufacturing stakeholders, helping them embed and deploy AI while uncovering its full range of capabilities in production, supply chain, and operations.

In collaboration with GTM, Product, and Marketing teams, you'll continuously refine our value proposition, sales methodology, and market positioning to resonate with manufacturing decision-makers.

Responsibilities:

Win new business and drive revenue for Anthropic within the manufacturing sector. Navigate complex manufacturing organisations to reach key decision-makers, educate them about our services, and help them succeed with Anthropic. You'll own the full sales cycle, from first outbound to close

Design and execute innovative sales strategies tailored to manufacturing procurement cycles and budgeting processes to meet and exceed revenue quotas. Analyze manufacturing market landscapes, trends, and dynamics to translate high-level plans into targeted sales activities and campaigns

Spearhead market expansion by identifying new use cases within production teams, engineering departments, and operations centres. Collaborate cross-functionally to differentiate our offerings for manufacturing applications

Navigate complex manufacturing stakeholder ecosystems including executives, administrators, IT departments, and procurement offices to build consensus

Inform product roadmaps and features by gathering feedback from users and conveying manufacturing market needs. Provide insights that strengthen our value proposition for manufacturing

Continuously refine the manufacturing sales methodology by incorporating learnings into playbooks, templates, and best practices. Identify process improvements that optimize sales productivity and consistency

You may be a good fit if you have:

8+ years of B2B sales experience in SaaS, API solutions, or emerging technologies.

A track record of managing complex sales cycles within manufacturing organisations and securing strategic deals by understanding both technical requirements and manufacturing use cases

Demonstrated ability to navigate manufacturing organisational structures and procurement processes, building consensus among diverse stakeholders including executives, administrators, and IT departments

Extensive experience negotiating complex agreements within manufacturing procurement frameworks and policies

Proven experience exceeding revenue targets by effectively managing an evolving pipeline and sales process

Excellent communication skills and the ability to present confidently to various manufacturing audiences, from plant managers and engineers to senior executives

Deep understanding of manufacturing buying cycles, decision-making processes, and key pain points

A strategic, analytical approach to assessing the manufacturing market combined with creative, tactical execution to capture opportunities

A passion for and/or experience with advanced AI systems and their applications. You feel strongly about ensuring frontier AI systems are developed safely and ethically for manufacturing use

The annual compensation range for this role is £280,000-£330,000 GBP.

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Dialpad is the AI-native business communications platform. We unify calling, messaging, meetings, and contact center on a single platform - powered by AI that understands every conversation in real time.

More than 70,000 companies around the globe, including WeWork, Asana, NASDAQ, AAA Insurance, COMPASS Realty, Uber, Randstad, and Tractor Supply, rely on Dialpad to build stronger customer connections using real-time, AI-driven insights.

We’re now leading the shift to Agentic AI: intelligent agents that don’t just analyse conversations but take action by automating workflows, resolving customer issues, and accelerating revenue in real time. Our DAART initiative (Dialpad Agentic AI in Real Time) is redefining what a communications platform can do.

Visit dialpad.com to learn more.

Being a Dialer

At Dialpad, AI isn’t just a feature; it’s how our teams do their best work every day. We put powerful AI tools in every employee’s hands so they can move faster, think bigger, and achieve more.

We believe every conversation matters. And we’ve built the platform that turns those conversations into insight and action, for our customers and ourselves.

We look for people who are intensely curious and hold themselves to a high bar. Our ambition is significant, and achieving it requires a team that operates at the highest level.

We seek individuals who embody our core traits: Scrappy, Curious, Optimistic, Persistent, and Empathetic.

Your role

As a Senior Product Manager, you’ll lead the strategy, roadmap, and delivery of our AI-powered contact center solution, Dialpad Support.

From conception to launch, you’ll work closely with Engineering and Design to develop capabilities that shape how Dialpad’s customers provide services to their users (e.g., support, hotlines, etc.).

By collaborating with marketing, sales, and CX, you’ll drive adoption and engagement with your product, ultimately helping every business deliver world-class customer experiences.

Dialpad powers modern, cloud-based omnichannel customer engagement through agent experiences, supervisor tools, routing, analytics, and quality management, all infused with AI at the core.

Your work will help our customers realise measurable improvements in agent efficiency, customer satisfaction, and business scalability.

This position reports to our Product Management VP and has the opportunity to be based in our Austin Office.

What you’ll do

• Own product strategy and roadmap for the contact centre business line, defining what to build, when to do it, and why it matters.

• Develop a deep understanding of customer pain points and business opportunities across industries, segments, and geographies through research, data analysis, and direct engagement to inform and support your product decisions and guide prioritisation.

• Lead the ideation, design, specification, development, and release of solutions through the entire project lifecycle, leveraging strong working relationships with Engineering, Design, Marketing, and Sales.

• Maintain the quality of your product by identifying product and technical issues and actively developing and tracking solutions for a product line used by thousands of agents and supervisors every day.

• Measure your impact through quantitative and qualitative data, connecting your work to the business outcomes that customers care about most.

• Champion your product, both externally and internally, to generate excitement and ensure alignment, including customer briefings and roadmap discussions.

• Approach your role with a growth mindset and a willingness to roll up your sleeves and solve problems as they arise.

• Balance short-term customer asks with long-term platform scalability and architectural integrity.

• Monitor the competitive landscape to inform differentiation and positioning.

Skills you’ll bring

• 8+ years of experience building a B2B SaaS product.

• Strong understanding of contact centre workflows (agents, supervisors, routing, IVR, reporting, WFM, QA, or AI-driven capabilities).

• Proven ability to lead complex products with multiple stakeholders and dependencies.

• Experience working closely with engineering teams on technically sophisticated systems (APIs, real-time systems, data pipelines).

• Fluency in AI systems and a passion for applying this technology both within the Dialpad product and to improve your daily work.

• Data-driven mindset with the ability to define KPIs and make informed trade-offs.

• Excellent communication skills , able to influence without authority and clearly articulate decisions.

• Comfort operating in ambiguity and driving clarity in fast-evolving environments.

• Bachelor’s degree or equivalent practical experience.

Why Join Dialpad

Work at the centre of the AI transformation in business communications

Build and ship agentic AI products that are redefining how companies operate

Join a team where AI amplifies every employee’s impact

Competitive salary, comprehensive benefits, and real opportunities for growth

We believe in investing in our people. Dialpad offers competitive benefits and perks, cutting-edge AI tools, and a robust training program that help you reach your full potential.

We have designed our offices to be inclusive, offering a vibrant environment to cultivate collaboration and connection.

Our exceptional culture, repeatedly recognised as a Great Place to Work, ensures that every employee feels valued and empowered to contribute to our collective success.

Don’t meet every single requirement? If you’re excited about this role and possess the fundamental traits, drive, and strong ambition we seek, but your experience doesn’t meet every qualification, we encourage you to apply.

Dialpad is an equal-opportunity employer. We are dedicated to creating a community of inclusion and an environment free from discrimination or harassment.

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Your responsibilities will include defining and driving Pinterest's technical strategy for agentic engineering, architecting and shipping production systems, reimagining Pinterest's SDLC, owning developer velocity measurement, serving as technical force multiplier across Platform, Infrastructure, and Engineering Acceleration, and driving engineering-wide adoption.

To be successful in this role, you will need 12+ years of software engineering experience with deep expertise in building developer platforms, internal tooling, or engineering infrastructure that measurably changed how engineers work at scale. You will also need demonstrated hands-on experience designing and shipping agentic AI systems in production, experience working in large-scale monorepos or complex multi-service codebases, and familiarity with agentic development best practices.

As a key technical advisor and delegation point, you will work with the Sr. Director, Engineering Acceleration, VP, Infrastructure, and Chief Architect to shape investment priorities and multi-year technical direction. You will also serve as a trusted partner and primary delegation point for the hardest technical questions facing this organization.

This is a startup-within-a-company opportunity, with a charter that is ambitious, problems that are largely unsolved, and systems that you will build will define how an entire engineering organization operates for years.

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As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years.

To succeed on this team you will need to be curious, an excellent communicator, of a strong product mindset, be able to go from idea to implementation, and take ownership and pride in your work.

Propose, prototype, and deploy LLM-based agentic systems that help solve real-world problems, leveraging the latest state-of-the-art techniques in the field.

Work cross-functionally with different business lines across Anduril to help discover and scope new solutions.

Develop and maintain data pipelines, feature engineering workflows, and model-serving components that support applied AI use cases across the yard.

Learn and evangelize. You will be an expert on current AI technologies and trends (and their practical applications).

Eligible to obtain and maintain an active U.S. Secret security clearance.

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In this role, you will set technical direction and lead execution for ML evaluation and the end-to-end data flywheel powering CSxAI products. Your work will define how we measure quality, how we turn feedback into learning signals, and how we continuously improve models and products safely and efficiently.

You will partner closely with product, engineering, design, and operations to build evaluation systems that are trusted, scalable, and actionable - connecting offline metrics to online outcomes.

A typical day in this role will involve working with large-scale structured and unstructured data, exploring, experimenting, building, and continuously improving Machine Learning models and pipelines for Airbnb product, business, and operational use cases.

You will work collaboratively with cross-functional partners, including product managers, operations, and data scientists, to identify opportunities for business impact, understand, refine, and prioritize requirements for machine learning, and drive engineering decisions.

Hands-on development, productionization, and operation of Machine Learning models and pipelines at scale, including both batch and real-time use cases, will also be a key part of this role.

You will leverage third-party and in-house Machine Learning tools and infrastructure to develop reusable, highly differentiating, and high-performing Machine Learning systems, enable fast model development, low-latency serving, and ease of model quality upkeep.

Your expertise will be critical in defining evaluation strategy and success metrics for GenAI systems, aligning offline evaluation with online business and customer experience outcomes.

You will build and scale evaluation frameworks with strong controls for bias, drift, and reliability, design the data flywheel, and lead cross-functional quality initiatives across product, ops, and engineering.

You will develop and productionize pipelines for dataset creation, model monitoring, evaluation-at-scale, and continuous testing, and drive technical decisions and architecture for evaluation and data infrastructure.

Minimum qualifications for this role include a PhD in Computer Science, Mathematics, Statistics, or a related technical field, industry experience of 10+ years building, testing, and shipping ML/AI systems end-to-end, and leadership experience of 5+ years leading large, ambiguous technical initiatives as a senior IC.

Preferred qualifications include customer support systems experience, infrastructure and quality at scale experience, agile practice for applied AI experience, and continuous learner experience.

This position is US-Remote Eligible, and the role may include occasional work at an Airbnb office or attendance at offsites, as agreed to with your manager.

Our job titles may span more than one career level, and the actual base pay is dependent upon many factors, such as training, transferable skills, work experience, business needs, and market demands.

The base pay range is $244,000-$305,000 USD, and this role may also be eligible for bonus, equity, benefits, and Employee Travel Credits.

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Our mission is to fundamentally improve our customers' quality of life by empowering organisations and the individuals that drive them to reimagine the way they operate, collaborate, and innovate in Airtable.

We sit at the confluence of Sales, Services, Product, and Marketing and take a customer-centric approach to creating value through intentful listening, storytelling, expert guidance, tailored solutions, and applying a highly consultative process.

Key responsibilities include:

• Collaborating with Pre-Sales teams to identify, qualify, and drive revenue opportunities at Enterprise accounts
• Building meaningful relationships with and serving as a trusted advisor to a prospect or customer's technical teams
• Owning the technical evaluation process, showcasing customer-centric value within the context of the customer's unique requirements, workflows, and business process needs
• Translating the value of Airtable's tooling into the language of the customer
• Managing multiple sales cycles simultaneously, proactively communicating with stakeholders and prioritising effectively
• Consulting with credibility, bringing a well-rounded and unique perspective with hands-on cross-functional experience
• Informing the product team and ultimately the product roadmap with meaningful market potential findings
• Representing Airtable in every engagement with the utmost care

Requirements include:

• 5+ years of experience in SaaS Pre-Sales
• 7+ years industry experience
• Experience managing sales cycles and owning the technical evaluation
• Working knowledge of Marketing, Product Operations, Retail Management, and other Business Units
• Knowledge of business operations, including understanding value drivers for various personas and industries
• Understanding best practices for structuring data in a relational database and database architecture
• Passionate about creating unique solutions for complex business problems
• Loves the spotlight, being an adaptable and compelling communicator and presenter
• Thirst for knowledge, being a researcher, analyst, and emerging trends enthusiast
• Technically savvy, demonstrating a deep understanding of enterprise integration methodologies, best practices, and API architecture
• Low-code, no-code application experience throughout the customer lifecycle
• Knowledge of complementary technologies and products, including data warehousing and AI systems

We value passion, creativity, autonomy, purposefulness, time management, and curiosity.

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We're looking for prompt and context engineers to join our product engineering team to help build AI-first products, features, and evaluations. Your mission will be to bridge the gap between model capabilities and real product experience, working with product teams to build consistent, safe, and beneficial user experiences across all product surfaces.

Key Responsibilities

• Design, test, and optimize system prompts and feature-specific prompts that shape Claude's behavior across consumer and API products.
• Build and maintain comprehensive evaluation suites that ensure model quality and consistency across product launches and updates.
• Partner closely with product teams, research teams, and safeguards to ensure new features meet quality and safety standards.
• Play a critical role in model releases, ensuring smooth rollouts and catching regressions before they impact users.
• Help build and improve the frameworks and tools that allow teams to develop and test prompts and features with confidence.
• Mentor product engineers on prompt engineering best practices and help teams build their first evaluations.
• Work in a fast-paced environment where model capabilities advance daily, requiring quick adaptation and creative problem-solving.

What We're Looking For

• 5+ years of software engineering experience with Python or similar languages.
• Demonstrated experience with LLMs and prompt engineering (through work, research, or significant personal projects).
• Strong understanding of evaluation methodologies and metrics for AI systems.
• Excellent written and verbal communication skills – you'll need to explain complex model behaviors to diverse stakeholders.
• Ability to manage multiple concurrent projects and prioritize effectively.
• Experience with version control, CI/CD, and modern software development practices.

You Might Thrive in This Role If You…

• Get excited about the nuances of how language models behave and love finding creative ways to improve their outputs.
• Enjoy being at the intersection of research and product, translating cutting-edge capabilities into user value.
• Are comfortable with ambiguity and can define success metrics for novel AI features.
• Have a strong sense of ownership and drive projects from conception to production.
• Are passionate about building AI systems that are helpful, harmless, and honest.
• Thrive in collaborative environments and enjoy teaching others.

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You'll leverage your consultative sales expertise and technical acumen to propel revenue growth while becoming a trusted partner to customers, helping them embed and deploy AI while uncovering its full range of capabilities.

In collaboration with GTM, Product, Engineering, and cross-functional teams, you'll continuously refine our value proposition, sales methodology, and market positioning to ensure differentiated value across the landscape.

You will be contributing to the GTM strategy for our Industries team, focusing on sector-specific solutions and strategies within key verticals.

Responsibilities:

• Contribute to the Mid-Market GTM strategy, identifying new use cases within your assigned verticals, winning new business, and sharing feedback with cross-functional teams

• Drive strategic expansion within key accounts in established verticals and new logo acquisition within emerging verticals

• Own a revenue target and all aspects of the sales cycle from prospecting to close, including finding key workflows to automate and agentify

• Become a trusted advisor to customers, understanding their unique needs and crafting tailored AI solutions. Co-innovate with customers and sell on the product roadmap while appropriately setting expectations

• Collaborate extensively with cross-functional partners including Product, Customer Success, Legal, Marketing, and Applied AI to help bring new solutions to market and provide feedback to shape roadmaps

• Develop sales collateral, proposals, and presentations to effectively position Anthropic's AI products. Continuously refine sales tactics and share best practices

You may be a good fit if you have:

• 3+ years of enterprise B2B sales experience in technology, preferably in SaaS, API solutions, or emerging technologies

• Experience automating workflows or building automations to handle the repeatable components of a sales process

• Proven experience exceeding revenue targets in fast-paced organizations by effectively managing an evolving pipeline and sales process

• Excellent communication skills and the ability to present confidently and build connections across all customer levels, from ICs to C-level executives

• A knack for bringing order to chaos and an enthusiastic “roll up your sleeves'' mentality. You are a true team player

• A strategic, analytical approach to assessing markets combined with creative, tactical execution to capture opportunities

• 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-$360,000 USD

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You'll own the full sales cycle from prospecting to closing, working with senior leaders to help them modernise operations, strengthen risk management, and enhance customer experiences with Anthropic's AI solutions.

Key responsibilities include owning and exceeding revenue targets, building and executing territory plans, leading consultative sales processes with senior executives, and orchestrating internal teams to deliver solutions that meet the stringent regulatory, security, and data governance requirements of the FSI sector.

To succeed in this role, you'll need 8+ years of enterprise sales experience in Japan with significant exposure to financial services and insurance accounts, a track record of managing complex, long-cycle sales processes, and proven experience exceeding revenue targets.

You'll also need excellent communication skills in both Japanese and English, a strategic, analytical approach to identifying opportunities, and a passion for and/or experience with advanced AI systems.

In return, you'll receive a competitive base salary and commission structure, equity participation, comprehensive benefits package, hybrid work model with flexibility, and access to cutting-edge AI technology and world-class research team.

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You'll drive the adoption of safe, frontier AI by securing strategic deals with CPG brands. You'll leverage your consultative sales expertise in the CPG sector to propel revenue growth while becoming a trusted partner to CPG stakeholders, helping them embed and deploy AI while uncovering its full range of capabilities in brand management, supply chain, and category planning.

In collaboration with GTM, Product, and Marketing teams, you'll continuously refine our value proposition, sales methodology, and market positioning to resonate with CPG decision-makers.

Responsibilities:

• Win new business and drive revenue for Anthropic within the CPG sector. Navigate complex CPG organisations to reach key decision-makers, educate them about our services, and help them succeed with Anthropic. You'll own the full sales cycle, from first outbound to close

• Design and execute innovative sales strategies tailored to CPG procurement cycles and budgeting processes to meet and exceed revenue quotas. Analyze CPG market landscapes, trends, and dynamics to translate high-level plans into targeted sales activities and campaigns

• Spearhead market expansion by identifying new use cases within brand teams, supply chain functions, and commercial operations. Collaborate cross-functionally to differentiate our offerings for CPG applications

• Navigate complex CPG stakeholder ecosystems including executives, administrators, IT departments, and procurement offices to build consensus

• Inform product roadmaps and features by gathering feedback from users and conveying CPG market needs. Provide insights that strengthen our value proposition for CPG

• Continuously refine the CPG sales methodology by incorporating learnings into playbooks, templates, and best practices. Identify process improvements that optimize sales productivity and consistency

You may be a good fit if you have:

• 8+ years of B2B sales experience in SaaS, API solutions, or emerging technologies

• A track record of managing complex sales cycles within CPG organisations and securing strategic deals by understanding both technical requirements and CPG use cases

• Demonstrated ability to navigate CPG organisational structures and procurement processes, building consensus among diverse stakeholders including executives, administrators, and IT departments

• Extensive experience negotiating complex agreements within CPG procurement frameworks and policies

• Proven experience exceeding revenue targets by effectively managing an evolving pipeline and sales process

• Excellent communication skills and the ability to present confidently to various CPG audiences, from brand managers and category leads to senior executives

• Deep understanding of CPG buying cycles, decision-making processes, and key pain points

• A strategic, analytical approach to assessing the CPG market combined with creative, tactical execution to capture opportunities

• A passion for and/or experience with advanced AI systems and their applications. You feel strongly about ensuring frontier AI systems are developed safely and ethically for CPG use

The annual compensation range for this role is £280,000-£330,000 GBP.

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Responsibilities:

• Win new business and drive revenue for Anthropic within the enterprise sector across DACH.
• Design and execute innovative sales strategies tailored to enterprise procurement cycles and budgeting processes.
• Spearhead market expansion by identifying new use cases within enterprise departments, innovation centres, and operational offices.
• Inform product roadmaps and features by gathering feedback from enterprise users and conveying market needs from the DACH enterprise landscape.

Requirements:

• Native German speaker with excellent written and verbal communication skills in German and English.
• 8+ years of B2B sales experience in enterprise technology, preferably in SaaS or emerging technologies.
• Specialised sales industries experience: Telco, Manufacturing, Retail, Energy and Utilities.
• A track record of managing complex sales cycles within large enterprise organisations and securing strategic deals by understanding both technical requirements and business use cases.
• Demonstrated ability to navigate enterprise bureaucracies and procurement processes, building consensus among diverse stakeholders including executives, administrators, and IT departments.
• Extensive experience negotiating complex agreements within enterprise procurement frameworks and policies.
• Proven experience exceeding revenue targets in the enterprise sector by effectively managing an evolving pipeline and sales process.
• Excellent communication skills and the ability to present confidently to various enterprise audiences, from technical teams and business analysts to senior executives.
• Deep understanding of enterprise buying cycles, decision-making processes, and key pain points, particularly within the DACH market.
• A strategic, analytical approach to assessing the enterprise market combined with creative, tactical execution to capture opportunities.
• A passion for and/or experience with advanced AI systems and their applications in enterprise environments.

What We Offer:

• Competitive base salary and commission structure.
• Equity participation in Anthropic's growth.
• Comprehensive benefits package.
• Opportunity to shape the AI industry in DACH and EMEA.
• Professional development and career growth opportunities.

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You'll own the full sales cycle from prospecting to closing, working with senior leaders to help them optimise operations, personalise customer experiences at scale, and strengthen their competitive position with Anthropic's AI solutions.

Key responsibilities include owning and exceeding revenue targets, building and executing territory plans, leading consultative sales processes with senior executives, and orchestrating internal teams to deliver solutions that integrate with existing retail technology stacks.

To succeed in this role, you'll need 8+ years of enterprise sales experience in Japan with significant exposure to retail and consumer commerce accounts, as well as a track record of managing complex sales processes and securing strategic deals with large-scale retailers.

You'll also need to demonstrate excellent communication skills in both Japanese and English, a strategic, analytical approach to identifying opportunities within Japan's retail sector, and a passion for and/or experience with advanced AI systems.

In return, you'll receive a competitive base salary and commission structure, equity participation, comprehensive benefits package, hybrid work model with flexibility, and access to cutting-edge AI technology and world-class research team.

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Responsibilities:

• Own and exceed revenue targets by winning new accounts and expanding relationships across Japan's major automotive OEMs, tier-1 and tier-2 suppliers, heavy industry manufacturers, electronics manufacturers, and industrial equipment companies
• Build and execute territory plans, identifying high-value opportunities across passenger vehicle and commercial vehicle OEMs, automotive parts suppliers, industrial machinery manufacturers, semiconductor and electronics producers, and materials/chemicals companies
• Lead consultative sales processes with senior stakeholders , including chief engineers, R&D directors, heads of digital transformation, manufacturing engineering leaders, connected-vehicle and software-defined vehicle (SDV) leads, and plant operations executives , positioning AI as a driver for engineering productivity, design and simulation acceleration, supply chain intelligence, factory floor optimization, and in-vehicle/product experiences
• Orchestrate internal teams (Product, Engineering, Applied AI, Partnerships) to deliver solutions tailored to the rigorous safety, quality, and reliability standards of automotive and manufacturing workflows, while respecting IP protection and data sovereignty requirements
• Stay deeply informed about trends across Japan's manufacturing and automotive sectors and global industry shifts , including electrification, SDV, autonomous driving, Industry 4.0, and smart factory initiatives , ensuring Anthropic is consistently positioned as a relevant and forward-thinking partner to companies navigating rapid technological transformation

You may be a good fit if you have:

• 8+ years of enterprise sales experience in Japan with significant exposure to the manufacturing or automotive industry , whether selling directly into OEMs, tier-1 suppliers, industrial manufacturers, or adjacent technology partners (PLM, CAD/CAE, MES, industrial software, cloud/data platforms) within the ecosystem
• A genuine understanding of how product development, manufacturing operations, and engineering organizations work in Japan, including the distinct dynamics of keiretsu relationships, long-cycle OEM–supplier partnerships, and the coexistence of traditional monozukuri culture with digital transformation initiatives
• A track record of building trusted relationships with technically sophisticated engineering and manufacturing teams, navigating organizations where chief engineers, R&D leaders, and plant/operations executives hold significant influence over technology decisions alongside traditional IT leadership
• Demonstrated ability to manage complex, multi-stakeholder sales cycles typical of automotive and manufacturing enterprises , where decisions often involve multiple business units, rigorous POC and evaluation processes, and long-horizon strategic planning
• Proven experience exceeding revenue targets by identifying and closing opportunities across a diverse portfolio of manufacturing and automotive companies with varying scales, business models, and digital maturity
• A knack for bringing order to chaos and an enthusiastic 'roll up your sleeves' mentality , you are a true team player who thrives in ambiguous, startup-like environments
• A strategic, analytical approach to identifying opportunities within Japan's manufacturing and automotive sectors combined with relationship-focused execution that earns trust with engineering, manufacturing, and business leaders alike
• A passion for and/or experience with advanced AI systems. You feel strongly about ensuring frontier AI systems are developed safely and responsibly for broad benefit
• Excellent communication skills in both Japanese and English

What We Offer:

• Competitive base salary and commission structure commensurate with experience
• Equity participation
• Comprehensive benefits package
• Hybrid work model with flexibility
• Access to cutting-edge AI technology and world-class research team

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You'll drive the adoption of safe, frontier AI by securing strategic deals with manufacturing brands. You'll leverage your consultative sales expertise in the manufacturing sector to propel revenue growth while becoming a trusted partner to manufacturing stakeholders, helping them embed and deploy AI while uncovering its full range of capabilities in production, supply chain, and operations.

In collaboration with GTM, Product, and Marketing teams, you'll continuously refine our value proposition, sales methodology, and market positioning to resonate with manufacturing decision-makers.

Responsibilities:

• Win new business and drive revenue for Anthropic within the manufacturing sector. Navigate complex manufacturing organisations to reach key decision-makers, educate them about our services, and help them succeed with Anthropic. You'll own the full sales cycle, from first outbound to close

• Design and execute innovative sales strategies tailored to manufacturing procurement cycles and budgeting processes to meet and exceed revenue quotas. Analyze manufacturing market landscapes, trends, and dynamics to translate high-level plans into targeted sales activities and campaigns

• Spearhead market expansion by identifying new use cases within production teams, engineering departments, and operations centres. Collaborate cross-functionally to differentiate our offerings for manufacturing applications

• Navigate complex manufacturing stakeholder ecosystems including executives, administrators, IT departments, and procurement offices to build consensus

• Inform product roadmaps and features by gathering feedback from users and conveying manufacturing market needs. Provide insights that strengthen our value proposition for manufacturing

• Continuously refine the manufacturing sales methodology by incorporating learnings into playbooks, templates, and best practices. Identify process improvements that optimize sales productivity and consistency

You may be a good fit if you have:

• 8+ years of B2B sales experience in SaaS, API solutions, or emerging technologies.

• A track record of managing complex sales cycles within manufacturing organisations and securing strategic deals by understanding both technical requirements and manufacturing use cases

• Demonstrated ability to navigate manufacturing organisational structures and procurement processes, building consensus among diverse stakeholders including executives, administrators, and IT departments

• Extensive experience negotiating complex agreements within manufacturing procurement frameworks and policies

• Proven experience exceeding revenue targets by effectively managing an evolving pipeline and sales process

• Excellent communication skills and the ability to present confidently to various manufacturing audiences, from plant managers and engineers to senior executives

• Deep understanding of manufacturing buying cycles, decision-making processes, and key pain points

• A strategic, analytical approach to assessing the manufacturing market combined with creative, tactical execution to capture opportunities

• A passion for and/or experience with advanced AI systems and their applications. You feel strongly about ensuring frontier AI systems are developed safely and ethically for manufacturing use

The annual compensation range for this role is £280,000-£330,000 GBP.

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You'll own the full sales cycle from prospecting to closing, working with senior leaders to help them modernize the Telecommunications industry and operations with Anthropic's AI solutions.

Key responsibilities include owning and exceeding revenue targets, building and executing territory plans, leading consultative sales processes, and orchestrating internal teams to deliver solutions that meet stringent security, compliance, and procurement requirements.

To succeed in this role, you'll need 8+ years of enterprise sales experience in Japan with significant exposure to Telecommunications sector accounts, driving adoption of emerging technologies with a consultative, solutions-oriented sales approach.

You'll also need a track record of managing complex, long-cycle sales processes and securing strategic deals with government entities by understanding Telecommunications sector procurement requirements and crafting compliant solutions.

Additionally, you'll need demonstrated ability to navigate Telecommunications stakeholder ecosystems, building consensus across multiple departments, budget authorities, and approval layers.

Proven experience exceeding revenue targets by effectively managing pipeline across different government fiscal timelines is also essential.

A knack for bringing order to chaos and an enthusiastic 'roll up your sleeves' mentality are also required.

A strategic, analytical approach to identifying opportunities within Japan's Telecommunications sector combined with patient, relationship-focused execution is necessary.

A passion for and/or experience with advanced AI systems is also required, as well as excellent communication skills in both Japanese and English.

In return, you'll receive a competitive base salary and commission structure commensurate with experience, equity participation, comprehensive benefits package, hybrid work model with flexibility, and access to cutting-edge AI technology and world-class research team.

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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.

This 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.

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

Requirements

• 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

Benefits

• Annual Salary: $290,000-$360,000 USD
• 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.

How to Apply

If you're interested in this role, please submit your application through our website. We look forward to hearing from you!

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In collaboration with GTM, product, and marketing teams, you'll continuously refine our value proposition, sales methodology, and market positioning to ensure differentiated value across the landscape.

jom the full sales cycle, from first outbound to launch

Design and execute innovative sales strategies to meet and exceed revenue quotas. Analyze market landscapes, trends, and dynamics to translate high-level plans into targeted sales activities, partnerships, and campaigns

Spearhead market expansion by pinpointing new customer segments and use cases. Collaborate cross-functionally to differentiate our offerings and sustain a competitive edge

Inform product roadmaps and features by gathering customer feedback and conveying market needs. Provide insights that strengthen our value proposition and enhance the customer experience

Continuously refine the sales methodology by incorporating learnings into playbooks, templates, and best practices. Identify process improvements that optimize sales productivity and consistency

To be successful in this role, you'll need:

5+ years of enterprise sales experience driving adoption of emerging technologies with a consultative, solutions-oriented sales approach

A track record of managing complex sales cycles and securing strategic deals by understanding multifaceted technical requirements and crafting tailored solutions

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

Proven experience exceeding revenue targets in fast-paced organizations by effectively managing an evolving pipeline and sales process

Excellent communication skills and the ability to present confidently and build connections across all customer levels, from ICs to C-level executives

A knack for bringing order to chaos and an enthusiastic “roll up your sleeves'' mentality. You are a true team player

A strategic, analytical approach to assessing markets combined with creative, tactical execution to capture opportunities

A passion for and/or experience with advanced AI systems. You feel strongly about ensuring frontier AI systems are developed safely

The annual compensation range for this role is $290,000-$360,000 USD.

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You'll drive the adoption of safe, frontier AI by securing strategic deals with major corporations, technology companies, and research institutions. You'll leverage your consultative sales expertise in the enterprise sector to propel revenue growth while becoming a trusted partner to enterprise stakeholders, helping them embed and deploy AI while uncovering its full range of capabilities across business operations, research, and administration.

In collaboration with GTM, Product, and Marketing teams, you'll continuously refine our value proposition, sales methodology, and market positioning to resonate with enterprise decision-makers in the Swiss market.

Responsibilities:

• Win new business and drive revenue for Anthropic within the enterprise sector across Switzerland. Navigate complex enterprise organisations to reach key decision-makers, educate them about our services, and help them succeed with Anthropic. You'll own the full sales cycle, from first outbound to close

• Design and execute innovative sales strategies tailored to enterprise procurement cycles and budgeting processes to meet and exceed revenue quotas. Analyse enterprise market landscapes, trends, and dynamics to translate high-level plans into targeted sales activities and campaigns

• Spearhead market expansion by identifying new use cases within enterprise departments, innovation centres, and operational offices. Collaborate cross-functionally to differentiate our offerings for enterprise applications

• Navigate complex enterprise stakeholder ecosystems including executives, administrators, IT departments, and procurement offices to build consensus across Swiss business culture and practices

• Inform product roadmaps and features by gathering feedback from enterprise users and conveying market needs from the Swiss enterprise landscape. Provide insights that strengthen our value proposition for enterprise customers

• Continuously refine the enterprise sales methodology by incorporating learnings into playbooks, templates, and best practices. Identify process improvements that optimise sales productivity and consistency

You may be a good fit if you have:

• Native German speaker with excellent written and verbal communication skills in German and English

• 5+ years of B2B sales experience in enterprise technology, preferably in SaaS or emerging technologies

• Specialised sales industries experience: Telco, Manufacturing, Retail, Energy and Utilities

• A track record of managing complex sales cycles within large enterprise organisations and securing strategic deals by understanding both technical requirements and business use cases

• Demonstrated ability to navigate enterprise bureaucracies and procurement processes, building consensus among diverse stakeholders including executives, administrators, and IT departments

• Extensive experience negotiating complex agreements within enterprise procurement frameworks and policies

• Proven experience exceeding revenue targets in the enterprise sector by effectively managing an evolving pipeline and sales process

• Excellent communication skills and the ability to present confidently to various enterprise audiences, from technical teams and business analysts to senior executives

• Deep understanding of enterprise buying cycles, decision-making processes, and key pain points, particularly within the Swiss market

• A strategic, analytical approach to assessing the enterprise market combined with creative, tactical execution to capture opportunities

• A passion for and/or experience with advanced AI systems and their applications in enterprise environments. You feel strongly about ensuring frontier AI systems are developed safely and ethically for business use

What We Offer:

• Competitive base salary and commission structure

• Equity participation in Anthropic's growth

• Comprehensive benefits package

• Opportunity to shape the AI industry in Switzerland and EMEA

• Professional development and career growth opportunities

Location: Zurich (hybrid working available)

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This is a high-impact, relationship-driven role that directly shapes how frontier AI reaches Japan's largest enterprises.

Responsibilities:

• Own and grow revenue generated through SIer channels by developing joint go-to-market strategies, co-selling motions, and enablement programs with Japan's top system integrators

• Build and execute partner territory plans, identifying and prioritizing relationships across tier-1 and regional SIers , including firms across IT consulting, systems integration, and managed services practices

• Lead strategic engagement with senior SIer leadership , including practice heads, solution architects, pre-sales directors, and partner managers , building the technical confidence and commercial alignment needed to close enterprise deals

• Orchestrate internal teams (Product, Engineering, Applied AI, Partnerships, Marketing) to deliver enablement resources, joint solution frameworks, and go-to-market collateral that equips SIer partners to position and deploy Anthropic's AI solutions effectively

• Act as the primary escalation and support point for SIer partners navigating complex enterprise opportunities, ensuring deal momentum and customer satisfaction across the full sales cycle

You may be a good fit if you have:

• 8+ years of enterprise sales or partner management experience in Japan, with significant direct experience working with or selling through system integrators in the technology sector

• A deep understanding of how Japan's SIer ecosystem operates , including how SIers source, evaluate, and commit to vendor partnerships, and how they structure solutions for their enterprise clients

• A track record of building high-trust, mutually beneficial relationships with SIer organizations, driving consistent revenue through channel partnerships rather than direct sales alone

• Demonstrated ability to navigate complex, multi-layered SIer stakeholder environments , balancing the needs of the SIer's internal leadership, their end customers, and Anthropic's own business objectives

• Proven experience developing and executing partner enablement programs , including technical training, sales toolkits, and co-marketing initiatives , that meaningfully increase a partner's ability to sell and deliver

• A knack for bringing order to chaos and an enthusiastic 'roll up your sleeves' mentality , you are a true team player who thrives in ambiguous, startup-like environments

• A strategic, analytical approach to evaluating and prioritizing SIer partnerships combined with patient, relationship-focused execution

• A passion for and/or experience with advanced AI systems. You feel strongly about ensuring frontier AI systems are developed safely and responsibly for broad benefit

• Excellent communication skills in both Japanese and English

What We Offer:

• Competitive base salary and commission structure commensurate with experience

• Equity participation

• Comprehensive benefits package

• Hybrid work model with flexibility

• Access to cutting-edge AI technology and world-class research team

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.

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You'll focus on selling directly to partners to ensure Anthropic's AI capabilities are delivered within their own solutions and service offerings. Working closely with GTM, product, and marketing teams, you'll help these partners understand and implement our technology while driving significant revenue growth.

Responsibilities:

• Win new business and drive revenue for Anthropic by directly selling to Systems Integrators and ISVs in the public sector space, owning the full sales cycle from prospecting through close
• Identify net-new revenue by selling to SIs with prime contracts, helping them integrate AI into their technology stack and consulting practices to differentiate their offerings, accelerate delivery, and win more competitive bids
• Navigate complex technical sales conversations with partners' engineering and product teams
• Work with partners' technical teams to ensure successful implementation, adoption and deployment of Anthropic's AI capabilities into their solutions
• Coordinate with cloud providers (AWS, GCP) to align technical and commercial aspects of deals
• Build deep relationships with key decision makers within partner organizations
• Provide market intelligence and partner feedback to product teams to influence our roadmap and feature development
• Create and maintain sales playbooks specific to SI and ISV sales motions
• Track and forecast sales pipeline specific to the partner segment

Requirements:

• 7+ years of enterprise sales experience selling directly to Systems Integrators and ISVs
• Security clearances preferred
• Strong track record of closing complex technical sales to partner organizations
• Deep understanding of SI and ISV business models, buying processes, and technology evaluation criteria
• Experience navigating technical requirements and security standards specific to public sector implementations
• Proven ability to exceed revenue targets in partner-focused sales roles
• Strong technical acumen and ability to engage with partners' engineering teams
• Experience coordinating with cloud providers in complex deal scenarios
• Excellent communication skills and ability to present to both technical and business audiences
• Strategic thinking combined with hands-on sales execution capabilities
• Understanding of public sector procurement processes and how partners operate within them
• A passion for safe and ethical AI development, with the ability to articulate its technical value to partner organizations

Annual Salary: $360,000-$435,000 USD

This is a full-time role with a hybrid policy, requiring at least 25% of the time to be spent in the office. Visa sponsorship is available.

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Working closely with our Post-Sales, Product, and Engineering teams, you'll combine engineering expertise, an understanding of frontier AI applications, and customer-facing skills to understand customer workflows and develop innovative solutions that address complex business challenges while maintaining our high standards for safety and reliability.

Responsibilities:

• Work within customer systems to build production applications with Claude models, ensuring that these products meet customer requirements.
• Deliver technical artifacts for customers like MCP servers, sub-agents, and agent skills that will be used in production workflows.
• Provide white-glove deployment support for Anthropic products in enterprise environments.
• Identify and codify repeatable deployment patterns and contribute insights back to our Product and Engineering teams.
• Maintain strong knowledge of the latest developments in LLM capabilities, implementation patterns, and AI product development stacks.
• Build long-term relationships with customers and proactively identify new opportunities for AI deployment throughout the lifecycle of an engagement.
• Travel frequently (25-50%) to customer sites to build in-person with customers.
• Be a champion for Anthropic's mission in the field.

You May Be a Good Fit If You Have:

• 4+ years of experience in a technical, customer-facing role such as Forward Deployed Engineer, or as a Software Engineer with consulting experience. Former technical founders are also encouraged to apply.
• Production experience with LLMs including advanced prompt engineering, agent development, evaluation frameworks, and deployment at scale.
• Strong programming skills with proficiency in Python (and ideally in one or more additional languages like TypeScript, Java, etc) and experience shipping production applications.
• High agency with an ability to navigate ambiguity present in complex organizations.
• High cooperation mindset for cross-organizational collaboration, balancing competing priorities with integrity.
• Passion for advancing safe, beneficial AI systems through creative technical applications.
• Strong communication skills to conduct discovery with customers and to convey technical concepts to diverse stakeholders while maintaining a low ego and collaborative approach.
• A background in financial services, healthcare/life sciences, or another enterprise vertical is a plus.
• Experience with enterprise IT systems and/or AI deployment patterns is a plus.

Annual Salary: £225,000-£255,000 GBP

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You'll leverage your consultative sales expertise to propel revenue growth while becoming a trusted partner to customers, helping them embed and deploy AI while uncovering its full range of capabilities.

In collaboration with GTM, product, and marketing teams, you'll continuously refine our value proposition, sales methodology, and market positioning to ensure differentiated value across the landscape.

The ideal candidate will have a passion for developing new market segments, pinpointing high-potential opportunities, and executing strategies to capture them.

By driving deployment of Anthropic's emerging products, you will help enterprises obtain new capabilities while also advancing the ethical development of AI.

Responsibilities:

• Win new business and drive revenue for Anthropic.

• Design and execute innovative sales strategies to meet and exceed revenue quotas.

• Spearhead market expansion by pinpointing new customer segments and use cases.

• Inform product roadmaps and features by gathering customer feedback and conveying market needs.

• Continuously refine the sales methodology by incorporating learnings into playbooks, templates, and best practices.

You may be a good fit if you have:

• 2-3 years of experience prospecting and closing startup leads, driving adoption of emerging technologies with a consultative, solutions-oriented sales approach.

• Familiarity working within complex sales cycles, selling to technical stakeholders, and securing strategic deals by understanding multifaceted technical requirements and crafting tailored solutions.

• Success as a strategic business advisor, deeply understanding the needs of startup founders and creating innovative solutions that align with their vision and help them succeed.

• Exposure to negotiating complex, customized commercial agreements with multiple stakeholders.

• Demonstrated history of exceeding quota by effectively qualifying and advancing opportunities in a fast-paced work environment.

• Excellent communication skills and the ability to present confidently and build connections across all customer levels, from ICs to C-level executives.

• A knack for bringing order to chaos and an enthusiastic 'roll up your sleeves' mentality.

• Analytical approach to understanding customer needs combined with creative follow-up to advance opportunities.

• Passion for emerging technologies like AI, with interest in ensuring they are developed safely and responsibly.

• A strategic, analytical approach to assessing markets combined with creative, tactical execution to capture opportunities.

• A passion for and/or experience with advanced AI systems.

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: $222,800-$290,000 USD

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Responsibilities:

• Use proprietary software applications to provide input/labels on defined projects.
• Support and ensure the delivery of high-quality curated data.
• Play a pivotal role in supporting and contributing to the training of new tasks, working closely with the technical staff to ensure the successful development and implementation of cutting-edge initiatives/technologies.
• Interact with the technical staff to help improve the design of efficient annotation tools.
• Regularly interpret, analyze, and execute tasks based on given instructions.

Basic Qualifications:

• Must be either an IMO medalist (or similar competition medalist) or possess a Master's or PhD in a data science related field.
• Proficiency in reading and writing, both in informal and professional English.
• Strong ability to navigate various information resources, databases, and online resources are essential.
• You display outstanding communication, interpersonal, analytical, and organizational capabilities.
• Solid reading comprehension skills combined with capacity to exercise autonomous judgment even when presented with limited data/material.
• You have a strong passion for and commitment to technological advancements and innovation.

Preferred Skills and Experience:

• Possesses experience with at least one publication in a reputable journal or outlet.
• Has previous AI Tutoring experience.
• Teaching experience (as a professor, teacher, or tutor).
• You possess experience in technical writing, journalism, or a professional writing setting.
• Professional background as a Data Scientist

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As an exceptional software engineer at xAI, you will be part of a highly motivated and focused team that operates with a flat organisational structure. All employees are expected to be hands-on and contribute directly to the company's mission.

Your work will involve taking pride in your work and thriving in meritocratic environments where leadership is given to those who show initiative and consistently deliver excellence.

Responsibilities:

• Work on the most critical product or technical challenge at any given time.

• Get clarity on your first project before an offer.

Benefits:

• Strong communication skills are important to concisely and accurately share knowledge with your teammates.

• A flat organisational structure allows for flexibility and autonomy in your work.

• Opportunities for growth and development in a meritocratic environment.

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In this role, you will leverage your expertise in patient care coordination, medical billing, administrative workflows, and healthcare operations to support the training of AI systems.

Responsibilities: Provide accurate input and labels for healthcare and administration projects using proprietary software. Deliver curated, high-quality data for scenarios involving patient care coordination, medical billing, administrative workflows, and healthcare operations. Collaborate with technical staff to support the training of new AI tasks and contribute to the development of innovative technologies. Assist in designing and improving efficient annotation tools tailored for healthcare and administration data. Select and analyze complex problems in healthcare and administration fields aligned with your expertise to enhance AI model performance. Interpret, analyze, and execute tasks based on evolving instructions, maintaining precision and adaptability.

Basic Qualifications: Professional experience in healthcare administration or related fields. Proficiency in reading and writing informal and professional English. Strong communication, interpersonal, analytical, and organizational skills. Excellent reading comprehension and ability to exercise autonomous judgment with limited data. Passion for technological advancements and innovation in healthcare and administration processes.

Preferred Skills and Experience: Relevant certification or training in healthcare administration. Experience mentoring or training others in healthcare administration or operational practices. Comfort with recording audio or video sessions for data collection. Familiarity with AI or data annotation workflows in a technical setting.

Location and Other Expectations: Tutor roles may be offered as full-time, part-time, or contractor positions. For contractor positions, hours will vary widely based on project scope and contractor availability. Tutor roles may be performed remotely from any location worldwide. For US-based candidates, please note we are unable to hire in the states of Wyoming and Illinois at this time. We are unable to provide visa sponsorship. For those who will be working from a personal device, your computer must be a Chromebook, Mac with MacOS 11.0 or later, or Windows 10 or later.

Compensation and Benefits: US-based candidates: $45/hour - $100/hour depending on factors including relevant experience, skills, education, geographic location, and qualifications. International candidates: Information will be provided to you during the recruitment process. Benefits vary based on employment type, location, and jurisdiction. Specific details and role-specific information will be provided to you during the interview process.

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Zuma is pioneering the future of agentic AI and our focus is to transform the rental market experience for consumers and property manager alike. Our innovative platform is engineered from the ground up to boost operations efficiency and enhance support capabilities for property management business across the US and Canada, a ~$200B market.

As a Staff Engineer, you will help define how humans collaborate with intelligent systems in one of the largest and most underserved industries in the world: property management. You’ll shape the technical foundation of a platform that is not just supporting human workflows, but executing them autonomously through AI agents.

This is a rare opportunity to influence how an entire industry evolves, building tools that transform repetitive operational tasks into seamless, intelligent experiences. Your work will directly contribute to how trust is built between humans and machines, how operations scale without added headcount, and how residents and staff experience a new, AI-powered standard of service.

Delightful, trustworthy, and deeply effective. Join us to help lead the AI revolution in multifamily, drive meaningful real-world impact, and be part of reimagining what work can feel like when done side-by-side with intelligent agents.

You will be a cornerstone of our engineering organization, reporting to the VPE. This is a pivotal role where you'll lead critical system rewrites, architect scalable foundations for our AI platform, and establish the technical standards that will shape our engineering culture for years to come.

You'll work at the intersection of cutting-edge LLM technology and practical business applications, creating sophisticated systems that power our AI leasing agent while building self-serve experiences that enable rapid customer onboarding.

As our first US-based engineer, you'll bridge the gap between our product vision and technical implementation. This role offers a rare opportunity to directly influence how we architect the next generation of our platform.

You'll tackle projects like rebuilding our onboarding/configuration system to be self-serve, creating robust analytics infrastructure to measure AI performance, and reimagining our integration framework to connect seamlessly with customer systems.

Your work will significantly reduce manual engineering overhead while enabling rapid scaling of our customer base.

Why This Could Be Your Dream Role

• You'll work directly with cutting-edge LLM technology in a real-world application
• You want to work at a company where customers feel your impact every day
• You'll architect AI-powered systems that are transforming the real estate industry
• You'll have autonomy to design and implement innovative technical solutions
• Your work will directly impact thousands of apartment communities and millions of renters
• You'll receive significant equity in a venture-backed company with strong traction

Why You Might Want to Think Twice

• This is a demanding role that will often require extended hours and deep commitment
• As a founding team member, you'll need to wear multiple hats and step outside your comfort zone
• You'll need to make thoughtful tradeoffs between innovation and immediate needs
• You'll interact directly with customers to understand their needs and occasionally travel to their offices
• We're a startup - priorities can shift rapidly as we respond to market opportunities and customer needs
• If you're not comfortable getting your hands dirty with legacy code or speaking directly with customers, this isn't the job for you

Responsibilities

• Working closely with our product team to translate customer needs into technical solutions
• Creating intelligent configuration interfaces that allow our AI to adapt to customer needs
• Designing and implementing integration frameworks connecting our AI with customer systems
• Establishing modern engineering practices and infrastructure for an AI-first product
• Implementing robust analytics to measure and improve our AI's effectiveness
• Leading the development of innovative features that push the boundaries of AI in real estate
• Mentoring engineers and elevating the team's capabilities with LLM technologies

Your Experience Looks Like

• Strong people leadership experience and bias for action
• Must have hands-on experience in architecting, designing and implementing agentic AI systems
• Very strong experience in architecting and implementing scalable agentic systems
• Hands-on experience using at least one agentic framework and familiarity with other agentic frameworks
• Hands-on experience using cutting edge LLM, fine-tuning LLM and integrating them in production grade software used by real users
• Proven track record in fast-paced startup environments and collaborating with global teams
• Must have expertise in React and Python or Node.js
• Knowledge of ML, AI, LLMs

Guiding Principles

• Customer‑First Outcomes
• Bias for Simplicity
• Quality Is a Gate, Not an After‑Thought
• Data‑Driven Choices
• Transparency & Written Culture

Other Benefits

• Great health insurance, dental, and vision
• Gym and workspace stipends
• Computer and workspace enhancements
• Unlimited PTO
• Company off-sites with the team
• Opportunity to play a critical role in building the foundations of the company and Engineering culture

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This role sits at the intersection of AI/ML, autonomy, model lifecycle, infrastructure, and product strategy. The PM partners closely with engineering, AI research, Hivemind Solutions, and field teams to deliver the tooling that enables sovereign autonomy, AI Factories at the edge, and continuous learning,capabilities that are central to Shield AI's strategic direction.

This is a high-impact role for an experienced product leader excited to define how foundation models are trained, validated, governed, and deployed across thousands of autonomous systems in highly contested environments.

Responsibilities:

• AI Model Development & Training Platform

Own the roadmap for foundation model training workflows, including dataset ingestion, curation, labeling, synthetic data generation, domain model training, and distillation pipelines. Define requirements for world models, robotics models, and VLA-based training, evaluation, and specialization. Lead the evolution of MLOps capabilities in Forge, including data lineage, experiment tracking, model versioning, and scalable evaluation suites.

• Data, Simulation & Synthetic Data Factory

Define product requirements for synthetic data generation, simulation-integrated data flywheels, and automated scenario generation. Partner with Digital Twin, Simulation, and autonomy teams to convert natural-language mission inputs into data needs, training procedures, and model variants.

• Safe Deployment & Model Governance

Lead the development of model governance and auditability tooling, including model cards, dataset rights, lineage tracking, safety gates, and compliance evidence. Build guardrails and workflows to safely deploy models onto edge hardware in disconnected, GPS- or comms-denied environments. Partner with Safety, Certification, Cyber, and Engineering teams to ensure traceability and evaluation pipelines meet operational and accreditation requirements.

• Edge Deployment & AI Factory Integration

Partner with Pilot, EdgeOS, and hardware teams to integrate foundation-model-based perception and reasoning into autonomy behaviors. Define requirements for distillation, quantization, and inference tooling as part of the “three-computer” development and deployment model. Ensure closed-loop workflows between cloud model training and edge-native execution.

• Cross-Functional Leadership

Collaborate with Engineering, Research, Product, Customer Engagement, and Solutions teams to ensure model outputs meet mission and platform constraints. Translate advanced AI capabilities into intuitive workflows that platform OEMs and partner nations can use to build sovereign AI factories. Sequence foundational capabilities that unblock autonomy, simulation, and customer-facing product teams.

• User & Customer Impact

Develop deep empathy for ML engineers, autonomy developers, and Solutions engineers who rely on the platform. Capture operational data gaps, mission-driven model needs, and domain-specific specialization requirements. Lead demos and onboarding for model-development capabilities across internal and external teams.

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This position holds full accountability for regional pipeline development, order capture, and long-term market expansion, while leading and enabling Country BD Leads within the region. By maintaining strategic oversight and coordinated execution across markets, the Senior Regional Manager strengthens customer trust, scales operational impact, and accelerates sustained growth of Shield AI's presence across the region.

Key responsibilities include:

• Serving as Shield AI's senior regional representative across the Nordics engaging senior military, government, and industry stakeholders while ensuring compliance across all activities.

• Developing and executing a unified regional strategy aligned to EURAF team priorities, integrating country-level efforts into coherent campaigns across NATO, EU, and bilateral frameworks.

• Owning regional sales performance, including pipeline development, forecast accuracy, and order intake, with accountability for driving opportunities from shaping through close.

• Leading and managing Country BD Leads within the region, setting priorities, ensuring execution discipline, and aligning messaging and stakeholder engagement across markets.

• Overseeing and coordinating cross-functional efforts across Business Development, Government Relations, Program Management, Legal, Contracts, PX, and Customer Operations to enable successful capture and delivery.

• Owning and driving regional capture strategy across all product lines (V-BAT, Hivemind, X-BAT, SVS), ensuring alignment with product and regional leadership.

• Ensuring successful execution and customer outcomes for active programs across the region, maintaining accountability for performance, timelines, and customer satisfaction.

• Building and maintaining a disciplined, data-driven regional pipeline and stakeholder engagement plan to support sustained growth and follow-on business.

• Developing and managing regional partnerships, resellers, and strategic industry relationships to expand access and accelerate program execution.

• Identifying and mitigating political, procurement, and operational risks across markets, providing clear reporting on regional performance and outlook.

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This position holds full accountability for regional pipeline development, order capture, and long-term market expansion, while leading and enabling Country BD Leads within the region.

Key responsibilities include:

• Serving as Shield AI's senior regional representative across the West Balkans, Greece, and Cyprus, engaging senior military, government, and industry stakeholders while ensuring compliance across all activities.

• Developing and executing a unified regional strategy aligned to EURAF team priorities, integrating country-level efforts into coherent campaigns across NATO, EU, and bilateral frameworks.

• Owning regional sales performance, including pipeline development, forecast accuracy, and order intake, with accountability for driving opportunities from shaping through close.

• Leading and managing Country BD Leads within the region, setting priorities, ensuring execution discipline, and aligning messaging and stakeholder engagement across markets.

• Overseeing and coordinating cross-functional efforts across Business Development, Government Relations, Program Management, Legal, Contracts, PX, and Customer Operations to enable successful capture and delivery.

• Ensuring successful execution and customer outcomes for active programs across the region, maintaining accountability for performance, timelines, and customer satisfaction.

• Building and maintaining a disciplined, data-driven regional pipeline and stakeholder engagement plan to support sustained growth and follow-on business.

• Developing and managing regional partnerships, resellers, and strategic industry relationships to expand access and accelerate program execution.

• Identifying and mitigating political, procurement, and operational risks across markets, providing clear reporting on regional performance and outlook.

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The Intelligent Tooling team is being built from the ground up, and our mission is to establish the technical foundations, operating model, and internal platforms that embed AI deeply into Plaid's coding tools, internal systems, and the entire software development lifecycle. When we are successful, engineers across Plaid will delegate lower-leverage work to AI agents, move faster with confidence, and spend more of their time designing and inventing for customers.

As the Engineering Manager for Intelligent Tooling, you will lead an engineering team responsible for some of the highest-leverage systems at Plaid. This role is central to executing Plaid's 2026 engineering strategy to supercharge the engineering organization with AI tooling, and requires a leader who can both build the team and personally operate at the frontier of AI-powered developer workflows to drive real, organization-wide change.

Responsibilities

• Build and grow the Intelligent Tooling engineering team from the ground up, including hiring, setting early technical direction, and establishing team culture and operating norms.
• Develop, integrate, and own Plaid's AI-powered developer tooling and internal platforms, including AI coding tools, agentic workflows, and AI-native SDLC automation.
• Take ownership of existing internal tooling platforms (e.g. Retool, Wadsworth, ID2), ensuring clear ownership, reliable operations, and steady improvements to developer experience.
• Drive organization-wide adoption of AI tooling by embedding AI directly into core engineering workflows such as coding, testing, debugging, and incident response.
• Partner closely with DevEff, Security, Privacy, Legal, and other cross-functional partners to ensure AI tooling is safe, compliant, scalable, and aligned with Plaid’s standards.
• Define and execute against clear success metrics (e.g. usage, quality, reliability) to measure the real impact of Intelligent Tooling across the engineering organization.

Qualifications

• 8–10+ years of engineering experience, including time as an IC building production systems.
• 3+ years of experience managing and scaling engineering teams.
• Demonstrated success driving adoption of new tools or workflows, ideally AI-powered, for their own team.
• Hands-on experience with AI coding tools, agentic workflows, or LLM-powered developer systems.
• Strong technical judgment with depth in at least one of: developer tooling / DX platforms, infrastructure or platform engineering, or applied AI systems in production.
• Experience translating ambiguous strategy into execution and delivering measurable outcomes.
• Excellent communication and stakeholder management skills.

Additional Information

Our mission at Plaid is to unlock financial freedom for everyone. To support that mission, we seek to build a diverse team of driven individuals who care deeply about making the financial ecosystem more equitable. We recognize that strong qualifications can come from both prior work experiences and lived experiences. We encourage you to apply to a role even if your experience doesn't fully match the job description.

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You will bring clarity to ambiguity. You will translate complex enterprise problems into structured, Hebbia-driven solution approaches that executives can confidently act on. At the same time, you will design tailored AI-powered workflows and evaluations that validate impact, reduce decision risk, and strengthen the commercial narrative.

You will operate as a trusted advisor to sophisticated buyers navigating ambiguity, risk, and scale. Your job is to clarify thinking, reduce decision risk, and prove value in environments where accuracy, speed, and explainability matter.

Key responsibilities include:

• Owning technical strategy from discovery through close in complex enterprise sales cycles
• Leading rigorous technical discovery to understand workflows, data realities, constraints and executive success criteria
• Translating ambiguous customer challenges into clear structured Hebbia solution frameworks
• Designing and configuring tailored AI-powered workflows to prove differentiated value during evaluations
• Delivering high-stakes live demos and technical discussions with senior stakeholders
• Surfacing risks early, challenging assumptions, and shaping mitigation strategies that accelerate deal progression
• Partnering closely with Sales to increase win rates, deal velocity, and executive confidence
• Providing structured product feedback that sharpens positioning and informs roadmap decisions

Requirements include:

• 5+ years in a customer-facing technical role within complex enterprise sales environments (Solutions Engineering, Sales Engineering, Consulting, Implementation, or similar)
• Deep experience with AI systems, data platforms, LLM-based workflows or decision intelligence platforms
• Demonstrable executive presence, able to earn trust from C-Suite practitioners
• Strong at structuring ambiguous problems into clear, defensible solution approaches
• Strong preference for experience selling to or performing Analyst roles in Banking, Asset Management, Private Markets, Legal or Enterprise Knowledge teams in complex enterprise environments
• Comfortable operating in high-expectation, performance-driven environments

Compensation includes a 70:30 split between team and individual performance, with a combined base + bonus compensation range of $150,000 - $200,000 + competitive equity.

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You will bring clarity to ambiguity. You will translate complex enterprise problems into structured, Hebbia-driven solution approaches that executives can confidently act on. At the same time, you will design tailored AI-powered workflows and evaluations that validate impact, reduce decision risk, and strengthen the commercial narrative.

You will operate as a trusted advisor to sophisticated buyers navigating ambiguity, risk, and scale. Your job is to clarify thinking, reduce decision risk, and prove value in environments where accuracy, speed, and explainability matter.

Key responsibilities include owning technical strategy from discovery through close in complex enterprise sales cycles, leading rigorous technical discovery to understand workflows, data realities, constraints and executive success criteria, translating ambiguous customer challenges into clear structured Hebbia solution frameworks, designing and configuring tailored AI-powered workflows to prove differentiated value during evaluations, delivering high-stakes live demos and technical discussions with senior stakeholders, surfacing risks early, challenging assumptions, and shaping mitigation strategies that accelerate deal progression, partnering closely with Sales to increase win rates, deal velocity, and executive confidence, providing structured product feedback that sharpens positioning and informs roadmap decisions.

Required skills include 5+ years in a customer-facing technical role within complex enterprise sales environments, deep experience with AI systems, data platforms, LLM-based workflows or decision intelligence platforms, demonstrable executive presence, able to earn trust from C-Suite practitioners, strong at structuring ambiguous problems into clear, defensible solution approaches, strong preference for experience selling to or performing Analyst roles in Banking, Asset Management, Private Markets, Legal or Enterprise Knowledge teams in complex enterprise environments, comfortable operating in high-expectation, performance-driven environments.

Benefits include unlimited PTO, medical, dental, vision, 401K, wellness benefits, catered lunch daily, doordash dinner credit, parental leave policy, fertility benefits, and a competitive equity package with unmatched upside potential.

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Belong is building the Residential Operating System: a fully integrated, AI-powered platform that manages homes, coordinates thousands of real-world service moments, and creates authentic belonging experiences for homeowners and residents. The member journey is the product. But the Residential OS only delivers on that promise if the operational machinery running beneath it is intelligent, instrumented, and self-improving.

Most companies say they are AI-first. At Belong, it means something specific: by the end of 2025, the majority of communications across sales, leasing, homecare, and concierge functions are AI-generated. Human Advisors and Concierges handle trust-critical moments. AI agents handle everything else: triage, scheduling, status updates, escalation routing, vendor coordination, documentation.

The operations product surface is where that architecture lives or dies. As Product Owner, Operations, your job is to design, deploy, and relentlessly improve the AI-powered system that runs the homeowner and resident journey from inspection through occupancy. You are not writing requirements for a future that engineers will build someday. You are shipping agent-driven workflows today, measuring their quality and deflection rates next week, and iterating the week after.

This role is for someone who understands that the frontier of operations is not better dashboards. It is autonomous systems that perform with the judgment of your best operator, at infinite scale, at the moment the member needs it.

Responsibilities

• AI agent architecture across the operational journey. Every operational phase, from home preparation, move-in orchestration, homecare and maintenance, to Pro coordination and vendor scheduling, has a human workflow today and an AI-assisted target state. You will define that target state phase by phase: what the agent handles autonomously, what triggers human review, what escalates immediately.

• The agent-human handoff model. The Member Journey Brief is explicit: humans are deployed at trust-critical moments. AI handles orchestration, speed, and precision behind the scenes. You are the person who defines exactly where that line sits, and who moves it systematically as agent quality improves.

• LLM-powered communication workflows. Belong's target is 80% AI-generated communications across operational functions by Q3. You will own the product layer that makes this real for operations: the prompt architecture, context retrieval pipelines, output quality review systems, and the feedback loops that improve generation quality over time.

• Foundation as the AI control panel. Foundation is where Belong's operational teams live. Every tool your squad ships into Foundation is either creating leverage for humans or replacing manual work with agent-driven automation. You will define the roadmap for Foundation's evolution from task management system to AI control panel: where agents surface for review, where exceptions queue for human action, where quality scores and deflection rates are visible in real time.

• Operational instrumentation and model feedback. AI systems degrade without structured feedback. You will build the instrumentation that captures ground truth: CSAT signals, escalation rates, rework rates, SLA breach patterns, and member sentiment. You will design the feedback loops that push this signal back into model evaluation and prompt improvement.

The AI Stack You Will Work With

• LLM-based communication generation with context injection from CRM and operational state
• Agentic scheduling and coordination workflows (Homecare triage, Pro dispatch, vendor coordination)
• Automated escalation routing based on signal classification
• Quality scoring and anomaly detection on agent outputs
• Retrieval-augmented generation for Concierge and Homecare agent context

What Success Looks Like

• 90 days: Every operational phase has a documented AI target state with defined autonomous scope, human escalation thresholds, and instrumentation in place.
• 6 months: AI-assisted workflows have measurably reduced manual communication volume across at least 2 operational functions with no CSAT degradation.
• Year 1: The majority of routine operational communications in your product surface are AI-generated. Human operators are handling exceptions, escalations, and trust-critical moments, nothing else.

Example KPIs You Will Be Held To

• AI deflection rate vs. manual handling baseline, by operational function
• CSAT from homeowners and residents at each operational phase (the constraint: deflection gains cannot come at CSAT cost)
• SLA compliance rates for homecare and Pro services
• Time-to-list (inspection to live listing)
• Move-in readiness rate and failed move-in rate
• Human escalation rate as a quality signal on agent confidence calibration

Who You Are

• AI systems thinker. You do not think about AI features. You think about AI systems: input context, output quality, fallback behavior, quality measurement, and continuous improvement loops.
• Operationally grounded. You have worked in environments where things break in the real world, with real vendors, real homes, real members, and you understand that an agent operating without the right context is more dangerous than no agent at all.
• Outcome obsessed. You hold deflection rate and CSAT simultaneously. You do not celebrate automation that degrades experience.
• Technically fluent. You can write a SQL query, read a vector similarity result, reason about retrieval quality, and understand the tradeoffs in a prompt engineering decision.
• Cross-functional driver. Operations, Homecare, Leasing, Vendor Ops, and Engineering all touch your surface. You run the rituals, translate across languages, and hold the delivery cadence.

What You Bring

• 3 to 5 years of product experience, with at least 1 to 2 years directly building or operating AI-powered products in a production environment
• Hands-on experience with LLM integrations, prompt engineering, RAG pipelines, or agentic workflow design
• Demonstrated ownership of operational tooling or service orchestration products in a marketplace, logistics, or operations-intensive environment
• Proficiency with data: SQL, funnel analysis, and the ability to detect when a metric is being gamed or misread
• Experience with AI evaluation frameworks and output quality measurement is a strong advantage
• Prior work in consumer real estate, hospitality, or residential services is a plus

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Your primary focus will be on analyzing automated test execution results, investigating anomalies, and reporting detailed issues for resolution. You will also ensure zero functional regression across product releases by executing comprehensive regression testing suites.

In addition, you will contribute to the creation and enhancement of detailed test plans for new product features and updates, collaborate closely with Development teams to support troubleshooting and effective root-cause analysis, and uphold Synopsys' high standards for product quality and long-term reliability through proactive quality initiatives.

As a member of our team, you will participate in code reviews and provide feedback on testability and quality improvements. You will deliver high-quality, reliable software that powers cutting-edge technologies in AI, 5G, and autonomous systems, ensuring seamless user experiences for our global customer base, including leading semiconductor and tech companies.

To succeed in this role, you will need a Bachelor's or Master's degree in Electronics Engineering / Semiconductor Engineering or a related field, with a minimum of 6 years of experience in industry or 5 years of industry experience with a Master's degree in a related field.

You will be proficient in scripting in shell, python, tcl, and have experience in EDA tools and AI systems. You will also be able to work in a fast-paced development cycle, autonomously and proactively manage quality and defect tracking, and have solid analytical and troubleshooting skills, especially in complex systems.

If you are a detail-oriented and analytical individual with a rigorous approach to problem-solving, a collaborative and communicative team player with strong written and verbal communication skills in English, we encourage you to apply for this exciting opportunity.

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We are looking for an engineering leader who is hands-on with deep learning—comfortable reading/modeling code, not just running it. You will lead, encourage, and develop world-class engineering and data teams distributed across Europe, Asia and the United States.

Key Responsibilities:

• Architect and operationalize NVIDIA’s end-to-end data Inference Acceleration strategy, powering Inferencing and continuous performance improvements.
• Drive Strategic Implementations of TensorRT, VLLM and other accelerated frameworks for inference solutions for Edge and Enterprise devices: Lead Accelerated Computing efforts and solutions for key Metropolis verticals. Set up Proofs of Readiness (PORs) and guide their implementations.
• Leading customer solutions: Collaborate with major Metropolis OEMs and Partners to architect highly accelerated and optimized custom deep learning models and inference pipelines for their specific requirements. Offer direct customer support, including debugging, technical education, and handling customer inquiries for our Metropolis partner and customers. Responsible for drafting and finalizing SOWs with internal customers and partners.
• Performance Benchmarking: Orchestrate efforts to achieve leading performance results on industry benchmarks like MLPerf on various edge and Enterprise devices.
• Technical Leadership & Influence: Function as a technical leader for deep learning across multiple teams, giving oversight and build support. Apply customer insights to influence the composition and structure of upcoming SOC / GPU deep learning hardware.
• Scaling the team: Strategically hiring to meet new demands while also mentoring and adjusting existing teams to new deep learning challenges.
• Representing Nvidia Deep learning solutions in webinars, conferences and partner events

Requirements:

• Masters in Computer Science/Electrical Engineering or equivalent experience.
• A minimum of 8 years of meaningful involvement in machine learning/deep learning research or practical experience, coupled with 7+ years of leadership background and overall 15+ years of industry experience.
• Over 10 years of validated expertise in the embedded software sector, holding technical leadership positions accountable for delivering outstanding production software within a multifaceted setting.
• Deep Knowledge of GPU, CPU and dedicated deep learning architecture fundamentals and low-level performance optimizations using heterogeneous computing.
• Hands-on experience with VLMs, LLMs, or multimodal AI systems applied to perception, data triage, or automated labeling.
• Strong expertise in large-scale data processing, systems build, or machine learning pipelines.
• Strong communication, careful planning, and technical leadership capabilities.

Benefits:

• Competitive salary package and benefits
• Eligible for equity

How to Apply:

Applications for this job will be accepted at least until March 13, 2026.

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This role operates at the intersection of digital operations, customer experience, and AI-powered transformation. You will help drive the integration of intelligent automation, predictive analytics, and GenAI capabilities into digital service channels to improve customer experiences, enhance agent efficiency, and optimize operational performance.

Key Responsibilities

• Identify and scope opportunities to utilize AI, machine learning, and automation to optimize digital experience operations and agent support processes.
• Collaborate with product owners to build AI-informed business cases, including ROI modeling for predictive experiences, intelligent routing, and automated troubleshooting.
• Manage AI-enabled dashboards and monitoring systems that surface real-time anomalies, experience dips, and emerging performance trends.
• Partner with CX, analytics, and engineering teams to run A/B tests leveraging AI-generated variants, measuring uplift and customer impact.
• Translate customer and agent insights using AI-powered analytics (e.g., text/sentiment analysis, pattern detection) into actionable recommendations for journey improvements.
• Apply GenAI capabilities to improve team operations, e.g., automated insights summaries, triaging, root cause analysis drafting, and workflow documentation.

Experience & Education Requirements

• Overall experience >4 years, 2 years’ experience required with extensive relevant customer understanding/user research/consulting experience, packaging and delivering insights to influence change. 2 years of combined experience required in analytics, performance reporting, and/or process improvement.
• Advanced project and process management experience. Agile preferred.
• Bachelor's degree preferred in Technology, Mathematics, Statistics, Business, or related field.
• Master’s degree preferred in Management, Analytics, Artificial Intelligence.
• Experience working with AI/ML-driven platforms or analytics tools (e.g., customer behavioral modeling, NLP pipelines, predictive analytics).
• Background or coursework in AI, machine learning, data science, or human-centered AI preferred.
• Demonstrated ability to translate technical AI concepts into business language for non-technical stakeholders.

Other Critical Skills

• Familiarity with GenAI tools, conversational AI platforms, and AI-assisted productivity solutions.
• Ability to interpret outputs from models using techniques such as anomaly detection, clustering, and predictive scoring.
• Strong understanding of AI ethics, governance, and responsible AI frameworks.
• Comfortable working in environments where AI-driven decision automation informs prioritization and operational strategies.
• Possesses strong technical aptitude. Intermediate knowledge in using analytic tools such as Tableau and Microsoft Excel. Proficient in Microsoft Office including MS Word, Excel, Outlook, PowerPoint.
• Strong verbal communication and listening skills. Strong business acumen, with effective written and verbal communication skills.
• Ability to communicate, influence, and deliver with cross-functional teams and enterprise stakeholders. Ability to manage multiple projects with tight deadlines effectively with cross functional teams.

Software / Tool Skills

• Experience with AI/ML or data intelligence platforms (e.g., Azure ML, AWS SageMaker, Google Vertex AI—basic exposure acceptable).
• Hands-on familiarity with GenAI copilots, prompt engineering concepts, or LLM-based experience analysis tools.
• Experience interpreting insights from NLP, AI-powered text analytics, or conversational AI systems.
• Hands on experience with user Feedback/Data analysis tools – Qualtrics, Fullstory, Mixpanel etc.
• Good proficiency or practical experience of A/B Testing tools.
• Agile tools such as Jira, Rally etc.
• Understanding of Contact center and CMS tools.
• Excel - Intermediate/Advanced. Proficiency in Microsoft 365
• Power BI (Highly Preferred)

Requirements

• Defect management
• Triage & Classification
• Defect Monitoring
• Resolution Management
• RCA
• Data Analysis
• Stakeholder communication

Benefits

• Competitive compensation and benefits package:

1. Competitive salary and performance-based bonuses
2. Comprehensive benefits package
3. Career development and training opportunities
4. Flexible work arrangements (remote and/or office-based)
5. Dynamic and inclusive work culture within a globally renowned group
6. Private Health Insurance
7. Pension Plan
8. Paid Time Off
9. Training & Development

Note: Benefits differ based on employee level.

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This role operates at the intersection of digital operations, customer experience, and AI-powered transformation. You will help drive the integration of intelligent automation, predictive analytics, and GenAI capabilities into digital service channels to improve customer experiences, enhance agent efficiency, and optimize operational performance.

Key Responsibilities

• Identify and scope opportunities to utilize AI, machine learning, and automation to optimize digital experience operations and agent support processes.
• Collaborate with product owners to build AI-informed business cases, including ROI modeling for predictive experiences, intelligent routing, and automated troubleshooting.
• Manage AI-enabled dashboards and monitoring systems that surface real-time anomalies, experience dips, and emerging performance trends.
• Partner with CX, analytics, and engineering teams to run A/B tests leveraging AI-generated variants, measuring uplift and customer impact.
• Translate customer and agent insights using AI-powered analytics (e.g., text/sentiment analysis, pattern detection) into actionable recommendations for journey improvements.
• Apply GenAI capabilities to improve team operations, e.g., automated insights summaries, triaging, root cause analysis drafting, and workflow documentation.

Experience & Education Requirements

• Overall experience > 6-8 years, 4+ years’ experience required with extensive relevant customer understanding/user research/consulting experience, packaging and delivering insights to influence change. 4+ years of combined experience required in analytics, performance reporting, and/or process improvement.
• Advanced project and process management experience. Agile preferred.
• Bachelor's degree preferred in Technology, Mathematics, Statistics, Business, or related field.
• Master’s degree preferred in Management, Analytics, Artificial Intelligence.
• Experience working with AI/ML-driven platforms or analytics tools (e.g., customer behavioral modeling, NLP pipelines, predictive analytics).
• Background or coursework in AI, machine learning, data science, or human-centered AI preferred.
• Demonstrated ability to translate technical AI concepts into business language for non-technical stakeholders.
• Availability to work in PST time zone.

Other Critical Skills

• Familiarity with GenAI tools, conversational AI platforms, and AI-assisted productivity solutions.
• Ability to interpret outputs from models using techniques such as anomaly detection, clustering, and predictive scoring.
• Strong understanding of AI ethics, governance, and responsible AI frameworks.
• Comfortable working in environments where AI-driven decision automation informs prioritization and operational strategies.
• Possesses strong technical aptitude. Intermediate knowledge in using analytic tools such as Tableau and Microsoft Excel. Proficient in Microsoft Office including MS Word, Excel, Outlook, PowerPoint.
• Strong verbal communication and listening skills. Strong business acumen, with effective written and verbal communication skills.
• Ability to communicate, influence, and deliver with cross-functional teams and enterprise stakeholders. Ability to manage multiple projects with tight deadlines effectively with cross functional teams.

Software / Tool Skills

• Experience with AI/ML or data intelligence platforms (e.g., Azure ML, AWS SageMaker, Google Vertex AI—basic exposure acceptable).
• Hands-on familiarity with GenAI copilots, prompt engineering concepts, or LLM-based experience analysis tools.
• Experience interpreting insights from NLP, AI-powered text analytics, or conversational AI systems.
• Hands on experience with user Feedback/Data analysis tools – Qualtrics, Fullstory, Mixpanel etc.
• Good proficiency or practical experience of A/B Testing tools.
• Agile tools such as Jira, Rally etc.
• Understanding of Contact center and CMS tools.
• Excel - Intermediate/Advanced. Proficiency in Microsoft 365
• Power BI (Highly Preferred)

Requirements

• CX Operations
• Audit & Governance
• Data Analysis
• Insights & Predictive Analytics
• Root Cause Analysis
• Digital recommendations
• Competitive Analysis
• Personalization
• Agile framework

Benefits

• Competitive compensation and benefits package:

1. Competitive salary and performance-based bonuses
2. Comprehensive benefits package
3. Career development and training opportunities
4. Flexible work arrangements (remote and/or office-based)
5. Dynamic and inclusive work culture within a globally renowned group
6. Private Health Insurance
7. Pension Plan
8. Paid Time Off
9. Training & Development

Note: Benefits differ based on employee level.

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As a FBS Senior Operations Analyst at Capgemini, you will play a key role in driving the integration of intelligent automation, predictive analytics, and GenAI capabilities into digital service channels to improve customer experiences, enhance agent efficiency, and optimize operational performance.

Role Description

This role operates at the intersection of digital operations, customer experience, and AI-powered transformation. You will help drive the integration of intelligent automation, predictive analytics, and GenAI capabilities into digital service channels to improve customer experiences, enhance agent efficiency, and optimize operational performance.

Key Responsibilities

• Oversee end-to-end digital service operations across customer and agent journeys, partnering with Product, Technology, and Architecture teams to ensure smooth delivery of features, fixes, and enhancements.
• Define and monitor KPIs such as experience scores, CSAT, FCR, and system uptime to track digital performance across various digital channels.
• Drive real-time customer and agent experience tracking, identify friction points, and lead UX improvement initiatives backed by data analysis and user feedback.
• Manage critical defects and high-priority escalations by coordinating with stakeholder teams to ensure rapid and accurate resolution.
• Build and maintain real-time dashboards to surface trends, generate insights, and inform leadership decisions; leverage tools such as Qualtrics, Mixpanel, and Fullstory etc.
• Use customer and partner research to strengthen analytical capabilities, identify market trends, and recommend customer experience enhancements.
• Partner with data science, analytics, and engineering teams to embed AI-driven insights into digital operations, enabling proactive issue detection and resolution.
• Apply AI-based predictive models to forecast demand, detect patterns, and inform operational and resource planning.
• Evaluate and operationalize AI copilots, GenAI assistants, and automation tools to streamline agent workflows and improve customer self-service.
• Promote responsible AI through governance, transparency, bias monitoring, explainability, and data privacy practices.
• Lead GenAI-powered experiments that include personalized content, conversational experiences, and journey-level optimizations.
• Support AI-driven journey analytics using NLP, clustering, sentiment analysis, and behavioral modeling to improve customer understanding.

Experience & Education Requirements

• Overall experience > 6-8 years, 4+ years’ experience required with extensive relevant customer understanding/user research/consulting experience, packaging and delivering insights to influence change. 4+ years of combined experience required in analytics, performance reporting, and/or process improvement.
• Advanced project and process management experience. Agile preferred.
• Bachelor's degree preferred in Technology, Mathematics, Statistics, Business, or related field.
• Master’s degree preferred in Management, Analytics, Artificial Intelligence.
• Experience working with AI/ML-driven platforms or analytics tools (e.g., customer behavioral modeling, NLP pipelines, predictive analytics).
• Background or coursework in AI, machine learning, data science, or human-centered AI preferred.
• Demonstrated ability to translate technical AI concepts into business language for non-technical stakeholders.
• Availability to work in PST time zone.

Other Critical Skills

• Familiarity with GenAI tools, conversational AI platforms, and AI-assisted productivity solutions.
• Ability to interpret outputs from models using techniques such as anomaly detection, clustering, and predictive scoring.
• Strong understanding of AI ethics, governance, and responsible AI frameworks.
• Comfortable working in environments where AI-driven decision automation informs prioritization and operational strategies.
• Possesses strong technical aptitude. Intermediate knowledge in using analytic tools such as Tableau and Microsoft Excel. Proficient in Microsoft Office including MS Word, Excel, Outlook, PowerPoint.
• Strong verbal communication and listening skills. Strong business acumen, with effective written and verbal communication skills.
• Ability to communicate, influence, and deliver with cross-functional teams and enterprise stakeholders. Ability to manage multiple projects with tight deadlines effectively with cross functional teams.

Software / Tool Skills

• Experience with AI/ML or data intelligence platforms (e.g., Azure ML, AWS SageMaker, Google Vertex AI—basic exposure acceptable).
• Hands-on familiarity with GenAI copilots, prompt engineering concepts, or LLM-based experience analysis tools.
• Experience interpreting insights from NLP, AI-powered text analytics, or conversational AI systems.
• Hands on experience with user Feedback/Data analysis tools – Qualtrics, Fullstory, Mixpanel etc.
• Good proficiency or practical experience of A/B Testing tools.
• Agile tools such as Jira, Rally etc.
• Understanding of Contact center and CMS tools.
• Excel - Intermediate/Advanced. Proficiency in Microsoft 365
• Power BI (Highly Preferred)

Requirements

• Optimization Testing (A/B Testing)
• Multivariate testing
• Personalization
• Digital Workflow optimization
• Stakeholder collaboration

Benefits

• Competitive compensation and benefits package:

1. Competitive salary and performance-based bonuses
2. Comprehensive benefits package
3. Career development and training opportunities
4. Flexible work arrangements (remote and/or office-based)
5. Dynamic and inclusive work culture within a globally renowned group
6. Private Health Insurance
7. Pension Plan
8. Paid Time Off
9. Training & Development

Note: Benefits differ based on employee level.

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At Epic Games, we're a team of talented and passionate individuals who strive to create innovative and engaging experiences. Our team is dedicated to developing games and game engines that push the boundaries of what's possible.

Job Description

We're seeking a Senior Gameplay AI Programmer to join our team. As a Senior Gameplay AI Programmer, you will be responsible for designing and implementing AI systems for our games. You will work closely with our art and design teams to create and iterate on AI features, and collaborate with our development teams to ensure that our games meet the highest standards of quality.

Key Responsibilities

• Collaborate with art and design teams to create and iterate on AI features
• Design and implement AI systems for our games
• Work with development teams to ensure that our games meet the highest standards of quality
• Optimize and correct bugs in existing AI systems
• Ensure that our games have high-quality user experiences across all platforms

Requirements

• Experience in game development and AAA game releases
• Experience with AI systems (Behavior Trees, Finite State Machine, Pathfinding, Animation, etc.)
• Strong C++ skills and ability to create code and architect AI mechanics and tools
• Knowledge of games and ability to articulate strengths and weaknesses in existing game designs
• Excellent communication and interpersonal skills
• Experience in live service games is a plus
• Self-motivated, strong work ethic, and ability to work independently
• Creativity in problem-solving and ability to think outside the box

Benefits

We offer 100% benefits coverage for employees and dependents. Our current benefits package includes medical, dental, and life insurance coverage. We also offer additional benefits, including daily meal vouchers and transportation benefits for local employees.

About Us

Epic Games is a leading game development company that creates games and game engines. We have over 4,500 employees across 25 countries and 46 studios. We're committed to creating innovative and engaging experiences that push the boundaries of what's possible.

Join Our Team

If you're passionate about game development and AI, we'd love to hear from you. Join our team and be a part of something epic!

XML job scraping automation by YubHub

At Epic Games, we're looking for a skilled Senior Gameplay AI Programmer to join our team. As a key member of our engineering team, you will play a critical role in building innovative new experiences and technology.

What You'll Do

• Work closely with art and design to create and iterate on gameplay AI features
• Experiment with game design and iterate rapidly while ensuring that strong architectural and algorithmic decisions are made
• Drive, build and maintain core AI systems shared in the Fortnite AI ecosystem
• Collaborate with engine AI developers to improve AI systems
• Ensure high-quality user experiences across all platforms we support
• Optimize and fix bugs in existing gameplay AI systems

What We're Looking For

• Experience developing games professionally, and shipping AAA titles with AI experience
• Experience working with AI systems (Behavior Trees, Finite State Machine, Pathfinding, Animation, etc.)
• Excellent C++ skills and the ability to code and architect AI gameplay mechanics and tools
• Well-versed in games and the ability to articulate what is strong/weak about the design of existing games (an interest in online games is preferred)
• Excellent communication and interpersonal skills
• Experience working on a live service game is a plus
• Self-motivated, great work ethic, and able to work independently
• Creativity in problem-solving and the ability to think outside of the established solutions

Benefits

We pay 100% for benefits for both employees (EEs) and dependents (deps). Our current benefits package includes coverage for medical, dental, and life insurance. We also offer supplemental benefits including daily meal vouchers, and commuter benefits for onsite employees.

XML job scraping automation by YubHub

At Epic Games, we're passionate about creating innovative games and game engines that empower developers to create immersive experiences. Our team of engineers is dedicated to pushing the boundaries of what's possible in game development.

What You'll Do

As a Senior Gameplay AI Programmer, you'll play a key role in our small and focused team. You'll be responsible for developing and maintaining central AI systems for our Fortnite game. You'll work closely with our art and design teams to create and iterate on AI features for gameplay. You'll also experiment with game design concepts and iterate rapidly, ensuring solid architectural and algorithmic decisions.

Key Responsibilities

• Collaborate with art and design teams to create and iterate on AI features for gameplay
• Develop and maintain central AI systems for Fortnite
• Experiment with game design concepts and iterate rapidly
• Ensure solid architectural and algorithmic decisions
• Optimize and correct bugs in existing AI systems

What We're Looking For

• Experience in developing games and launching AAA titles with AI
• Experience with AI systems (Behavior Trees, Finite State Machine, Pathfinding, Animation, etc.)
• Excellent C++ skills and ability to create code and architect AI mechanics and tools for gameplay
• Strong knowledge of games and ability to articulate strengths and weaknesses in existing game designs
• Excellent communication and interpersonal skills
• Experience in live service games is a plus
• Self-motivated, strong work ethic, and ability to work independently
• Creativity in problem-solving and ability to think beyond established solutions

Benefits

We pay 100% of benefits for employees and dependents. Our current benefits package includes medical, dental, and life insurance coverage. We also offer additional benefits, including daily meal vouchers and transportation benefits for local employees.

About Us

Epic Games is a leading game development company that creates games and game engines. It has over 4,500 employees across 25 countries and 46 studios. Our Unreal Engine technology is used by game developers and creators across various industries, including media and entertainment, automotive, and architecture.

Join Us

If you're passionate about game development and want to join a team that's pushing the boundaries of what's possible, we'd love to hear from you. We value diverse teams and an inclusive work culture, and we're proud to be an equal opportunities employer. Learn more about our equal opportunities policy here.

Note to Recruitment Agencies

Epic Games does not accept unsolicited resumes or approaches from third-party recruiters (i.e., a third party with whom we do not have a validly executed and negotiated contract). We will not pay any fees to unauthorized third parties. More details about these matters can be found here.

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We are a new and growing team at Epic, aiming to build innovative new experiences and technology. As a Senior Gameplay AI Programmer, you will play a critical role on a small and focused team. You will be responsible for core AI features and supporting collaborative development between programmers, designers, and artists.

Responsibilities

• Work closely with art and design to create and iterate on gameplay AI features
• Experiment with game design and iterate rapidly while ensuring that strong architectural and algorithmic decisions are made
• Drive, build and maintain core AI systems shared in the Fortnite AI ecosystem
• Collaborate with engine AI developers to improve AI systems
• Ensure high-quality user experiences across all platforms we support
• Optimize and fix bugs in existing gameplay AI systems

Requirements

• Experience developing games professionally, and shipping AAA titles with AI experience
• Experience working with AI systems (Behavior Trees, Finite State Machine, Pathfinding, Animation, etc.)
• Excellent C++ skills and the ability to code and architect AI gameplay mechanics and tools
• Well-versed in games and the ability to articulate what is strong/weak about the design of existing games (an interest in online games is preferred)
• Excellent communication and interpersonal skills
• Experience working on a live service game is a plus
• Self-motivated, great work ethic, and able to work independently
• Creativity in problem-solving and the ability to think outside of the established solutions

Benefits

We pay 100% for benefits for both employees (EEs) and dependents (deps). Our current benefits package includes coverage for medical, dental, and life insurance. We also offer supplemental benefits including daily meal vouchers, and commuter benefits for onsite employees.

XML job scraping automation by YubHub

At Epic Games, we're passionate about creating innovative games and game engines that empower developers to create immersive experiences. Our team of engineers is constantly growing and improving the tools and technology that enable developers to create engaging content.

What You'll Do

We're seeking a Senior Gameplay AI Engineer to work on various initiatives in the Fortnite ecosystem. We believe that the best gameplay experiences are driven by collaboration and interaction between gameplay programmers, designers, and artists. You'll play a key role in driving future gameplay AI resources.

Key Responsibilities

• Collaborate with art and design teams to create and iterate on gameplay AI resources
• Test and refine game design through rapid prototyping, ensuring robust architecture and algorithm decisions
• Develop, build, and maintain central AI systems in the Fortnite AI ecosystem
• Work with engine AI developers to improve AI systems
• Ensure high-quality user experiences across all platforms we support
• Optimize and correct errors in existing gameplay AI systems

What We're Looking For

• Professional experience in game development and launching AAA titles with experience in AI
• Experience working with AI systems (Behavior Trees, Finite State Machine, Pathfinding, etc.)
• Strong C++ skills and ability to code and develop gameplay AI tools
• Good knowledge of games and ability to articulate strengths and weaknesses in existing game designs (preference for online game interest)
• Excellent communication and interpersonal skills
• Preference for console/mobile experience
• Self-motivated, strong work ethic, and ability to work independently
• Creativity in problem-solving and ability to think outside established solutions
• Experience working with live-service games is a plus

Benefits

We pay 100% of benefits for employees and dependents. Our current benefits package includes medical, dental, and life insurance coverage. We also offer additional benefits, including daily meal vouchers and transportation benefits for local employees.

About Us

Epic Games is a global company with 25 countries, 46 studios, and over 4,500 employees. For over 25 years, we've created award-winning games and game engines that enable developers to create visually stunning and immersive experiences. Our Unreal Engine technology not only empowers game developers to create high-fidelity interactive experiences for PC, console, mobile, and VR but also serves as a tool adopted by creators in various industries, such as media and entertainment, automotive, and architecture. As we continue to build our game engine and develop notable games, we strive to form teams of world-class talent.

Join Something Epic

Epic Games values diverse teams and an inclusive work culture, and we're proud to be an equal opportunities employer. Learn more about our Equal Employment Opportunity (EEO) policy here.

Note to Recruitment Agencies

Epic does not accept unsolicited resumes or approaches from unauthorized third parties (including recruitment or placement agencies) (i.e., a third party with which we do not have a validly executed and negotiated contract). We will not pay any fees to unauthorized third parties. More details about these matters can be found here.

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As a Startup Account Executive at Anthropic, you'll drive adoption of safe, frontier AI by securing strategic deals with some of the fastest growing startups in the world. You'll leverage your consultative sales expertise to propel revenue growth while becoming a trusted partner to customers, helping them embed and deploy AI while uncovering its full range of capabilities. In collaboration with GTM, product, and marketing teams, you'll continuously refine our value proposition, sales methodology, and market positioning to ensure differentiated value across the landscape.

Responsibilities:

• Win new business and drive revenue for Anthropic. Find your way to the right people at prospective customers, educate them about LLMs, and help them succeed with Anthropic. You’ll own the full sales cycle, from first outbound to launch
• Design and execute innovative sales strategies to meet and exceed revenue quotas. Analyze market landscapes, trends, and dynamics to translate high-level plans into targeted sales activities, partnerships, and campaigns
• Spearhead market expansion by pinpointing new customer segments and use cases. Collaborate cross-functionally to differentiate our offerings and sustain a competitive edge
• Inform product roadmaps and features by gathering customer feedback and conveying market needs. Provide insights that strengthen our value proposition and enhance the customer experience
• Continuously refine the sales methodology by incorporating learnings into playbooks, templates, and best practices. Identify process improvements that optimize sales productivity and consistency

You may be a good fit if you have:

• 2-3 years of experience prospecting and closing startup leads, driving adoption of emerging technologies with a consultative, solutions-oriented sales approach
• Familiarity working within complex sales cycles, selling to technical stakeholders, and securing strategic deals by understanding multifaceted technical requirements and crafting tailored solutions
• Success as a strategic business advisor, deeply understanding the needs of startup founders and creating innovative solutions that align with their vision and help them succeed
• Exposure to negotiating complex, customized commercial agreements with multiple stakeholders
• Demonstrated history of exceeding quota by effectively qualifying and advancing opportunities in a fast-paced work environment
• Excellent communication skills and the ability to present confidently and build connections across all customer levels, from ICs to C-level executives
• A knack for bringing order to chaos and an enthusiastic “roll up your sleeves'' mentality. You are a true team player
• Analytical approach to understanding customer needs combined with creative follow-up to advance opportunities
• Passion for emerging technologies like AI, with interest in ensuring they are developed safely
• A strategic, analytical approach to assessing markets combined with creative, tactical execution to capture opportunities
• A passion for and/or experience with advanced AI systems. You feel strongly about ensuring frontier AI systems are developed safely

Benefits

• Annual Salary: $222,800 - $290,000 USD
• 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

Logistics

• Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience
• 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

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.

XML job scraping automation by YubHub

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.

Working closely with our Sales, Product, and Engineering teams, you'll guide customers from technical discovery through successful deployment. You'll combine deep engineering expertise with customer-facing skills to help customers understand the potential of working with LLMs and build innovative solutions that address complex business challenges while maintaining our high standards for safety and reliability.

Responsibilities:

• Serve as a technical advisor to Anthropic customers as they deploy new products & workflows with our models: from discovery through deployment, coordinating internally across multiple teams to drive customer success

• Partner with account executives to deeply understand customer product requirements and architect technical solutions, ensuring alignment between business objectives and technical implementation

• Guide technical architecture decisions and help customers build state-of-the-art products & workflows with LLMs via API

• Develop customized pilots, prototypes, and evaluation suites that make the case for customer deployment of our models into customer products and workflows via our API

• Lead hands-on technical workshops and code reviews with customer engineering teams

• Identify common design patterns and contribute insights back to our Product and Engineering teams

• Maintain strong knowledge of the latest developments in LLM capabilities, implementation patterns, and AI product development stacks

• Travel occasionally to customer sites for workshops, implementation support, and building relationships

• Attend conferences, lead speaking engagements, write blog posts and white papers on topics surrounding the AI space

You may be a good fit if you have:

• 4+ years of experience in a technical roles such as Customer Engineer, Forward Deployed Engineer, Software Engineer or Technical Product Manager with a desire to work closely with customers

• Production experience with LLMs including advanced prompt engineering, agent development, evaluation frameworks, and deployment at scale

• Strong programming skills with proficiency in Python and experience building production applications

• Expertise working with common LLM implementation patterns, prompt engineering, evaluation frameworks, agent frameworks, and retrieval frameworks.

• Ability to navigate ambiguity and execute across domains with intellectual openness, finding simple solutions to complex problems

• High cooperation mindset for cross-organizational collaboration, balancing competing priorities with integrity

• Passion for advancing safe, beneficial AI systems through creative technical applications

• Exceptional communication skills to convey technical concepts to diverse stakeholders while maintaining a low ego and collaborative approach

Deadline to apply: None. Applications will be reviewed on a rolling basis.

Logistics

Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience. Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.

Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.

Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.

How we're different

We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.

The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our

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The ideal candidate will have a passion for developing new market segments, pinpointing high-potential opportunities, and executing strategies to capture them. By driving deployment of Anthropic's emerging products, you will help enterprises obtain new capabilities while also advancing the ethical development of AI.

Responsibilities:

• Win new business and drive revenue for Anthropic. Find your way to the right people at prospective customers, educate them about LLMs, and help them succeed with Anthropic. You’ll own the full sales cycle, from first outbound to launch

• Design and execute innovative sales strategies to meet and exceed revenue quotas. Analyze market landscapes, trends, and dynamics to translate high-level plans into targeted sales activities, partnerships, and campaigns

• Spearhead market expansion by pinpointing new customer segments and use cases. Collaborate cross-functionally to differentiate our offerings and sustain a competitive edge

• Inform product roadmaps and features by gathering customer feedback and conveying market needs. Provide insights that strengthen our value proposition and enhance the customer experience

• Continuously refine the sales methodology by incorporating learnings into playbooks, templates, and best practices. Identify process improvements that optimize sales productivity and consistency

You may be a good fit if you:

• 5+ years of enterprise sales experience driving adoption of emerging technologies with a consultative, solutions-oriented sales approach

• A track record of managing complex sales cycles and securing strategic deals by understanding multifaceted technical requirements and crafting tailored solutions

• 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

• Proven experience exceeding revenue targets in fast-paced organizations by effectively managing an evolving pipeline and sales process

• Excellent communication skills and the ability to present confidently and build connections across all customer levels, from ICs to C-level executives

• A knack for bringing order to chaos and an enthusiastic “roll up your sleeves'' mentality. You are a true team player

• A strategic, analytical approach to assessing markets combined with creative, tactical execution to capture opportunities

• A passion for and/or experience with advanced AI systems. You feel strongly about ensuring frontier AI systems are developed safely

Annual Salary:

$290,000 - $435,000USD

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Responsibilities:

• Own and exceed revenue targets by winning new major FSI accounts and expanding existing relationships across Japan's banks, insurers, asset managers, and fintech companies
• Build and execute territory plans, identifying high-value opportunities across megabanks, regional banks, life and non-life insurers, and diversified financial groups
• Lead consultative sales processes with senior executives — including CIOs, CDOs, Chief Risk Officers, and compliance leaders — positioning AI as a driver for digital transformation, regulatory compliance, and improved customer experience
• Orchestrate internal teams (Product, Engineering, Applied AI, Partnerships) to deliver solutions that meet the stringent regulatory, security, and data governance requirements of the FSI sector

You may be a good fit if you have:

• 8+ years of enterprise sales experience in Japan with significant exposure to financial services and insurance accounts, driving adoption of emerging technologies with a consultative, solutions-oriented approach
• A track record of managing complex, long-cycle sales processes and securing strategic deals with FSI organisations by understanding sector-specific regulatory and compliance frameworks and crafting compliant solutions
• Demonstrated ability to navigate FSI stakeholder ecosystems, building consensus across IT, risk, compliance, and business operations teams with multiple budget authorities and approval layers
• Proven experience exceeding revenue targets by effectively managing pipeline across the varying budget cycles and fiscal timelines of large financial institutions
• A knack for bringing order to chaos and an enthusiastic 'roll up your sleeves' mentality — you are a true team player who thrives in ambiguous, startup-like environments
• A strategic, analytical approach to identifying opportunities within Japan's FSI sector combined with patient, relationship-focused execution
• A passion for and/or experience with advanced AI systems. You feel strongly about ensuring frontier AI systems are developed safely and responsibly for broad benefit
• Excellent communication skills in both Japanese and English

What We Offer:

• Competitive base salary and commission structure commensurate with experience
• Equity participation
• Comprehensive benefits package
• Hybrid work model with flexibility
• Access to cutting-edge AI technology and world-class research team

Logistics:

Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience. Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.

Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work.

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 co

XML job scraping automation by YubHub

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.

Working closely with our Sales, Product, and Engineering teams, you'll guide customers from technical discovery through successful deployment. You'll combine deep engineering expertise with customer-facing skills to help customers understand the potential of working with LLMs and build innovative solutions that address complex business challenges while maintaining our high standards for safety and reliability.

Responsibilities:

• Serve as a technical advisor to Anthropic customers as they deploy new products & workflows with our models: from discovery through deployment, coordinating internally across multiple teams to drive customer success
• Partner with account executives to deeply understand customer product requirements and architect technical solutions, ensuring alignment between business objectives and technical implementation
• Guide technical architecture decisions and help customers build state-of-the-art products & workflows with LLMs via API
• Develop customized pilots, prototypes, and evaluation suites that make the case for customer deployment of our models into customer products and workflows via our API
• Lead hands-on technical workshops and code reviews with customer engineering teams
• Identify common design patterns and contribute insights back to our Product and Engineering teams
• Maintain strong knowledge of the latest developments in LLM capabilities, implementation patterns, and AI product development stacks
• Travel occasionally to customer sites for workshops, implementation support, and building relationships
• Attend conferences, lead speaking engagements, write blog posts and white papers on topics surrounding the AI space

You may be a good fit if you have:

• 4+ years of experience in a technical roles such as Customer Engineer, Forward Deployed Engineer, Software Engineer or Technical Product Manager with a desire to work closely with customers
• Production experience with LLMs including advanced prompt engineering, agent development, evaluation frameworks, and deployment at scale
• Strong programming skills with proficiency in Python and experience building production applications
• Expertise working with common LLM implementation patterns, prompt engineering, evaluation frameworks, agent frameworks, and retrieval frameworks.
• Ability to navigate ambiguity and execute across domains with intellectual openness, finding simple solutions to complex problems
• High cooperation mindset for cross-organizational collaboration, balancing competing priorities with integrity
• Passion for advancing safe, beneficial AI systems through creative technical applications
• Exceptional communication skills to convey technical concepts to diverse stakeholders while maintaining a low ego and collaborative approach
• Fluent in both Korean and English

Logistics

Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience. Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.

Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.

Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.

How we're different

We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.

The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including

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You will be contributing to the GTM strategy for our Industries team, focusing on sector-specific solutions and strategies within key verticals. The Industries team operates as a specialized set of teams focused on sector-specific solutions and strategies. This structure enables us to develop deeper domain expertise and a more prescriptive sales approach focused on the buyer and adoption journey for customers.

This is a highly consultative sales role as you will be cross-selling with our existing team of Account Executives, determining pricing strategy, and influencing the product roadmap based upon customer feedback. You will help define our solution-led selling approach, positioning us as strategic advisors, and provide a continuous feedback loop for internal teams to iterate on.

Responsibilities:

• Contribute to the Industries team GTM strategy, identifying new use cases within your assigned verticals, winning new business, and sharing feedback with cross-functional teams

• Drive strategic expansion within key accounts in established verticals and new logo acquisition within emerging verticals

• Break into new accounts and cross-sell into existing business alongside our team of Account Executives

• Own a revenue target and all aspects of the sales cycle from prospecting to close, including outbounding and engaging Tier 1 accounts

• Lead with conviction by providing clear recommendations based on deep industry expertise rather than presenting a menu of options

• Prioritize organizations that can serve as lighthouse customers and references within their industries

• Become a trusted advisor to customers, understanding their unique needs and crafting tailored AI solutions. Co-innovate with customers and sell on the product roadmap while appropriately setting expectations

• Collaborate extensively with cross-functional partners including product, engineering, legal, marketing, and Applied AI to help bring new solutions to market and provide feedback to shape roadmaps

• Develop sales collateral, proposals, and presentations to effectively position Anthropic's AI products. Continuously refine sales tactics and share best practices

You may be a good fit if you have:

• 5+ years of enterprise B2B sales experience in technology, preferably in SaaS, API solutions, or emerging technologies

• A track record of managing complex sales cycles and securing strategic deals by understanding multifaceted technical requirements and crafting tailored solutions

• 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

• Proven experience exceeding revenue targets in fast-paced organizations by effectively managing an evolving pipeline and sales process

• Excellent communication skills and the ability to present confidently and build connections across all customer levels, from ICs to C-level executives

• A knack for bringing order to chaos and an enthusiastic “roll up your sleeves'' mentality. You are a true team player

• A strategic, analytical approach to assessing markets combined with creative, tactical execution to capture opportunities

• A passion for and/or experience with advanced AI systems. You feel strongly about ensuring frontier AI systems are developed safely

Annual Salary:

$290,000 - $360,000USD

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Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.

About the Role

We’re looking for prompt and context engineers to join our product engineering team to help build AI-first products, features, and evaluations. Your mission will be to bridge the gap between model capabilities and real product experience, working with product teams to build consistent, safe, and beneficial user experiences across all product surfaces.

You will be deeply involved in new product feature and model releases at Anthropic, combining engineering expertise with an understanding of frontier AI applications and model quality. You’ll become an expert on Claude’s behavioural quirks and capabilities and apply that knowledge to deliver the best possible user experience across models and domains. You’ll be the first resource for product teams working on Claude’s AI infrastructure: system prompts, tool prompts, skills, and evaluations.

This role requires someone who can effectively balance caring deeply about making Claude the best it can be while also supporting a wide variety of concurrent projects and efforts across many product teams.

Key Responsibilities

• Prompt Engineering Excellence: Design, test, and optimise system prompts and feature-specific prompts that shape Claude’s behaviour across consumer and API products.

• Evaluation Development: Build and maintain comprehensive evaluation suites that ensure model quality and consistency across product launches and updates.

• Cross-functional Collaboration: Partner closely with product teams, research teams, and safeguards to ensure new features meet quality and safety standards.

• Model Launch Support: Play a critical role in model releases, ensuring smooth rollouts and catching regressions before they impact users.

• Infrastructure Contribution: Help build and improve the frameworks and tools that allow teams to develop and test prompts and features with confidence.

• Knowledge Transfer: Mentor product engineers on prompt engineering best practices and help teams build their first evaluations.

• Rapid Iteration: Work in a fast-paced environment where model capabilities advance daily, requiring quick adaptation and creative problem-solving.

What We’re Looking For

Required Qualifications

• 5+ years of software engineering experience with Python or similar languages.

• Demonstrated experience with LLMs and prompt engineering (through work, research, or significant personal projects).

• Strong understanding of evaluation methodologies and metrics for AI systems.

• Excellent written and verbal communication skills – you’ll need to explain complex model behaviours to diverse stakeholders.

• Ability to manage multiple concurrent projects and prioritise effectively.

• Experience with version control, CI/CD, and modern software development practices.

Preferred Qualifications

• Experience with Claude or other frontier AI models in production settings.

• Background in machine learning, NLP, or related fields.

• Experience with A/B testing and experimentation frameworks (e.g., Statsig).

• Familiarity with AI safety and alignment considerations.

• Experience building tools and infrastructure for ML/AI workflows.

• Track record of improving AI system performance through systematic evaluation and iteration.

You Might Thrive in This Role If You…

• Get excited about the nuances of how language models behave and love finding creative ways to improve their outputs.

• Enjoy being at the intersection of research and product, translating cutting-edge capabilities into user value.

• Are comfortable with ambiguity and can define success metrics for novel AI features.

• Have a strong sense of ownership and drive projects from conception to production.

• Are passionate about building AI systems that are helpful, harmless, and honest.

• Thrive in collaborative environments and enjoy teaching others.

Logistics

Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience.

Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.

Visa sponsorship: We do sponsor visas! However, we aren’t able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you’re interested in this work.

Your safety matters to us. To protect yourself from potential scams, we want to remind you that we will never ask you to pay any fees for the hiring process. If someone contacts you claiming to be from Anthropic and asks for money, please report it to us immediately.

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Responsibilities:

• Own and exceed revenue targets by winning new major accounts and expanding existing relationships across Japan's railway operators, airlines, logistics providers, electric and gas utilities, and water infrastructure organisations
• Build and execute territory plans, identifying high-value opportunities across national and regional rail groups, major carriers, electric power companies, and municipal utility providers
• Lead consultative sales processes with senior executives — including CIOs, CDOs, COOs, and heads of operations and safety — positioning AI as a driver for predictive maintenance, energy management, operational efficiency, and infrastructure resilience
• Orchestrate internal teams (Product, Engineering, Applied AI, Partnerships) to deliver solutions that meet the stringent safety, reliability, and regulatory standards governing Japan's critical infrastructure sectors

You may be a good fit if you have:

• 8+ years of enterprise sales experience in Japan with significant exposure to transportation and/or utility accounts, driving adoption of emerging technologies with a consultative, solutions-oriented approach
• A track record of managing complex, long-cycle sales processes and securing strategic deals with infrastructure-focused organisations by understanding the safety, regulatory, and operational requirements unique to these sectors
• Demonstrated ability to navigate the stakeholder ecosystems of asset-heavy industries, building consensus across operations, engineering, IT, and executive leadership with multiple layers of approval
• Proven experience exceeding revenue targets by effectively managing pipeline across the long planning and procurement cycles typical of infrastructure organisations
• A knack for bringing order to chaos and an enthusiastic 'roll up your sleeves' mentality — you are a true team player who thrives in ambiguous, startup-like environments
• A strategic, analytical approach to identifying opportunities within Japan's transportation and utility sectors combined with patient, relationship-focused execution
• A passion for and/or experience with advanced AI systems. You feel strongly about ensuring frontier AI systems are developed safely and responsibly for broad benefit
• Excellent communication skills in both Japanese and English

What We Offer

• Competitive base salary and commission structure commensurate with experience
• Equity participation
• Comprehensive benefits package
• Hybrid work model with flexibility
• Access to cutting-edge AI technology and world-class research team

Logistics

• Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience.
• 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.

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 research directions.

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Anthropic's Infrastructure organisation is the engine that powers our mission. Every breakthrough in AI safety research and every interaction users have with Claude depends on the systems we build and operate: massive clusters for training frontier models, production infrastructure serving millions of users reliably, and developer platforms that help engineers move fast without breaking things.

As a Technical Program Manager for Infrastructure, you'll work across multiple infrastructure domains to coordinate complex programs that have broad organisational impact. You'll be solving novel scaling challenges at the frontier of what's possible, all while maintaining the security and reliability our mission demands.

This role is ideal for someone who thrives in ambiguity and believes their job is to make everyone around them more effective. You'll partner closely with engineering leadership to drive strategic initiatives while ensuring seamless coordination between research, engineering, and product teams.

What you'll do:

Developer Productivity & Tooling

• Drive cross-functional programs to improve developer environments, CI/CD infrastructure, and release processes that enable rapid innovation while maintaining high security standards

• Coordinate large-scale migrations and platform modernization efforts across engineering teams

• Partner with teams to measure and improve developer productivity metrics, identifying bottlenecks and driving systematic improvements

• Lead initiatives to integrate AI tools into development workflows, helping Anthropic be at the forefront of AI-assisted research and engineering

Infrastructure Reliability & Operations

• Drive programs to establish and achieve reliability targets across training infrastructure and production services

• Coordinate incident response improvements, post-mortem processes, and on-call rotations that help teams operate effectively

• Establish metrics and dashboards to track infrastructure health, capacity utilisation, and operational excellence

Cross-functional Coordination

• Serve as the critical bridge between infrastructure teams, research, and product, translating technical complexities into clear updates for a variety of audiences

• Consult with stakeholders to deeply understand infrastructure, data, and compute needs, identifying solutions to support frontier research and product development

• Drive alignment on priorities and timelines across teams with competing constraints

You May Be a Good Fit If You

• Have 5+ years of technical program management experience, with a track record of successfully delivering complex infrastructure programs in ML/AI systems or large-scale distributed systems

• Have deep technical understanding of infrastructure systems—enough to engage substantively with engineers, identify technical risks, and add value beyond project tracking

• Excel at creating structure and processes in ambiguous environments, bringing clarity to complex cross-team initiatives

• Have strong stakeholder management skills and can build trust with both technical and non-technical partners

• Are comfortable navigating competing priorities and using data to drive technical decisions

• Have experience with developer productivity initiatives, CI/CD systems, or infrastructure scaling

• Thrive in fast-paced environments and can balance strategic planning with tactical execution

• Are obsessed with reliability, scalability, security, and continuous improvement

• Have a passion for supporting internal partners like research to understand their unique needs

• Are passionate about AI infrastructure and understand the unique challenges of building and operating systems at frontier scale

• Experience with Kubernetes, cloud platforms (AWS, GCP, Azure), and ML infrastructure (GPU/TPU/Trainium clusters)

• Background working with research teams and translating their needs into concrete technical requirements

• Experience driving adoption of AI tools to improve engineering productivity

• Familiarity with observability tooling and practices

Deadline to Apply:

None, applications will be received on a rolling basis.

Logistics

Education requirements:

We require at least a Bachelor's degree in a related field or equivalent experience.

Location-based hybrid policy:

Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.

Visa sponsorship:

We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

We encourage you to apply even if you do not believe you meet every single qualification.

Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application.

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Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.

About the Team

Our team is organised around the north star goal of building an AI scientist – a system capable of solving the long term reasoning challenges and basic capabilities necessary to push the scientific frontier. Our team likes to think across the whole model stack. Currently the team is focused on improving models' abilities to use computers – as a laboratory for long horizon tasks and a key blocker to many scientific workflows.

About the role

As a Research Engineer on our team you will work end to end, identifying and addressing key blockers on the path to scientific AGI. Strong candidates should have familiarity with language model training, evaluation, and inference, be comfortable triaging research ideas and diagnosing problems and enjoy working collaboratively. Familiarity with performance optimisation, distributed systems, vm/sandboxing/container deployment, and large scale data pipelines is highly encouraged.

Join us in our mission to develop advanced AI systems that are both powerful and beneficial for humanity.

Responsibilities:

• Working across the full stack to identify and remove bottlenecks preventing progress toward scientific AGI
• Develop approaches to address long-horizon task completion and complex reasoning challenges essential for scientific discovery
• Scaling research ideas from prototype to production
• Create benchmarks and evaluation frameworks to measure model capabilities in scientific workflows and computer use
• Implement distributed training systems and performance optimisations to support large-scale model development

You may be a good fit if you:

• Have 8+ years of ML research experience
• Are familiar with large scale language model training, evaluation, and inference pipelines
• Enjoy obsessively iterating on immediate blockers towards longterm goals
• Thrive working collaboratively to solve problems
• Have expertise in performance optimisation and distributed computing systems
• Show strong problem-solving skills and ability to identify technical bottlenecks in complex systems
• Can translate research concepts into scalable engineering solutions
• Have a track record of shipping ML systems that tackle challenging multi-step reasoning problems

Strong candidates may also have:

• Expertise with performance optimisation for language model inference and training
• Experience with computer use automation and agentic AI systems
• A history working on reinforcement learning approaches for complex task completion
• Knowledge of containerisation technologies (Docker, Kubernetes) and cloud deployment at scale
• Demonstrated ability to work across multiple domains (language modelling, systems engineering, scientific computing)
• Have experience with VM/sandboxing/container deployment and large-scale data processing
• Experience working with large scale data problem solving and infrastructure
• Published research or practical experience in scientific AI applications or long-horizon reasoning

Logistics

Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience. Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.

Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

We encourage you to apply even if you do not believe you meet every single qualification.** Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.

Your safety matters to us.** To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.

How we're different

We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science.

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Responsibilities:

• Win new business and drive revenue for Anthropic within the Insurance sector. Navigate complex institutions to reach key decision-makers, educate them about our services, and help them succeed with Anthropic. You'll own the full sales cycle, from first outbound to close

• Design and execute innovative sales strategies tailored to Insurance procurement cycles and budgeting processes to meet and exceed revenue quotas. Analyze market landscapes, trends, and dynamics to translate high-level plans into targeted sales activities and campaigns

• Spearhead market expansion by identifying new use cases within Insurance departments, research centers, and administrative offices. Collaborate cross-functionally to differentiate our offerings for Insurance applications

• Navigate complex stakeholder ecosystems including executives, administrators, IT departments, and procurement offices to build consensus

• Inform product roadmaps and features by gathering feedback from users and conveying Insurance market needs. Provide insights that strengthen our value proposition for Insurance

• Continuously refine the Insurance sales methodology by incorporating learnings into playbooks, templates, and best practices. Identify process improvements that optimize sales productivity and consistency

You may be a good fit if you have:

• 5+ years of B2B sales experience in Insurance technology, preferably in SaaS or emerging technologies

• A track record of managing complex sales cycles within Insurance organizations and securing strategic deals by understanding both technical requirements and use cases

• Demonstrated ability to navigate Insurance bureaucracies and procurement processes, building consensus among diverse stakeholders including executives, administrators, and IT departments

• Extensive experience negotiating complex agreements within Insurance procurement frameworks and policies

• Proven experience exceeding revenue targets in the Insurance sector by effectively managing an evolving pipeline and sales process

• Excellent communication skills and the ability to present confidently to various audiences within Insurance

• Deep understanding of Insurance buying cycles, decision-making processes, and key pain points

• A strategic, analytical approach to assessing the Insurance market combined with creative, tactical execution to capture opportunities

• A passion for and/or experience with advanced AI systems and their applications in Insurance. You feel strongly about ensuring frontier AI systems are developed safely and ethically

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 - $435,000USD

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Responsibilities:

• Own and grow revenue generated through SIer channels by developing joint go-to-market strategies, co-selling motions, and enablement programs with Japan's top system integrators
• Build and execute partner territory plans, identifying and prioritising relationships across tier-1 and regional SIers — including firms across IT consulting, systems integration, and managed services practices
• Lead strategic engagement with senior SIer leadership — including practice heads, solution architects, pre-sales directors, and partner managers — building the technical confidence and commercial alignment needed to close enterprise deals
• Orchestrate internal teams (Product, Engineering, Applied AI, Partnerships, Marketing) to deliver enablement resources, joint solution frameworks, and go-to-market collateral that equips SIer partners to position and deploy Anthropic's AI solutions effectively
• Act as the primary escalation and support point for SIer partners navigating complex enterprise opportunities, ensuring deal momentum and customer satisfaction across the full sales cycle

You may be a good fit if you have:

• 8+ years of enterprise sales or partner management experience in Japan, with significant direct experience working with or selling through system integrators in the technology sector
• A deep understanding of how Japan's SIer ecosystem operates — including how SIers source, evaluate, and commit to vendor partnerships, and how they structure solutions for their enterprise clients
• A track record of building high-trust, mutually beneficial relationships with SIer organisations, driving consistent revenue through channel partnerships rather than direct sales alone
• Demonstrated ability to navigate complex, multi-layered SIer stakeholder environments — balancing the needs of the SIer's internal leadership, their end customers, and Anthropic's own business objectives
• Proven experience developing and executing partner enablement programs — including technical training, sales toolkits, and co-marketing initiatives — that meaningfully increase a partner's ability to sell and deliver
• A knack for bringing order to chaos and an enthusiastic 'roll up your sleeves' mentality — you are a true team player who thrives in ambiguous, startup-like environments
• A strategic, analytical approach to evaluating and prioritising SIer partnerships combined with patient, relationship-focused execution
• A passion for and/or experience with advanced AI systems. You feel strongly about ensuring frontier AI systems are developed safely and responsibly for broad benefit
• Excellent communication skills in both Japanese and English

What We Offer

• Competitive base salary and commission structure commensurate with experience
• Equity participation
• Comprehensive benefits package
• Hybrid work model with flexibility
• Access to cutting-edge AI technology and world-class research team

Logistics

• Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience.
• 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.

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 through collaboration and open communication.

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As a Mid-Market Account Executive on Anthropic's Industries team, you'll drive the adoption of safe, frontier AI by securing strategic deals with mid-market companies in key verticals, unlocking new value streams throughout their business. You'll leverage your consultative sales expertise and technical acumen to propel revenue growth while becoming a trusted partner to customers, helping them embed and deploy AI while uncovering its full range of capabilities.

In collaboration with GTM, Product, Engineering, and cross-functional teams, you'll continuously refine our value proposition, sales methodology, and market positioning to ensure differentiated value across the landscape.

Responsibilities:

• Contribute to the Mid-Market GTM strategy, identifying new use cases within your assigned verticals, winning new business, and sharing feedback with cross-functional teams

• Drive strategic expansion within key accounts in established verticals and new logo acquisition within emerging verticals

• Own a revenue target and all aspects of the sales cycle from prospecting to close, including finding key workflows to automate and agentify

• Become a trusted advisor to customers, understanding their unique needs and crafting tailored AI solutions. Co-innovate with customers and sell on the product roadmap while appropriately setting expectations

• Collaborate extensively with cross-functional partners including Product, Customer Success, Legal, Marketing, and Applied AI to help bring new solutions to market and provide feedback to shape roadmaps

• Develop sales collateral, proposals, and presentations to effectively position Anthropic's AI products. Continuously refine sales tactics and share best practices

You may be a good fit if you have:

• 3+ years of enterprise B2B sales experience in technology, preferably in SaaS, API solutions, or emerging technologies

• Experience automating workflows or building automations to handle the repeatable components of a sales process

• Proven experience exceeding revenue targets in fast-paced organizations by effectively managing an evolving pipeline and sales process

• Excellent communication skills and the ability to present confidently and build connections across all customer levels, from ICs to C-level executives

• A knack for bringing order to chaos and an enthusiastic “roll up your sleeves'' mentality. You are a true team player

• A strategic, analytical approach to assessing markets combined with creative, tactical execution to capture opportunities

• A passion for and/or experience with advanced AI systems. You feel strongly about ensuring frontier AI systems are developed safely

Logistics

• Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience.

• Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.

• Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work.

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

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Responsibilities:

• Own and exceed revenue targets by winning new major retail accounts and expanding existing relationships across Japan's domestic retailers, convenience store chains, e-commerce platforms, and omnichannel brands
• Build and execute territory plans, identifying high-value opportunities across supermarket and convenience store groups, specialty retailers, fashion houses, and marketplace platforms
• Lead consultative sales processes with senior executives — including CIOs, CDOs, CMOs, and heads of supply chain and e-commerce — positioning AI as a driver for demand forecasting, personalisation, inventory optimisation, and enhanced customer experience
• Orchestrate internal teams (Product, Engineering, Applied AI, Partnerships) to deliver solutions that integrate with existing retail technology stacks while meeting Japan's data privacy requirements under the APPI framework

You may be a good fit if you have:

• 8+ years of enterprise sales experience in Japan with significant exposure to retail and consumer commerce accounts, driving adoption of emerging technologies with a consultative, solutions-oriented approach
• A track record of managing complex sales processes and securing strategic deals with large-scale retailers by understanding the operational and technology challenges unique to Japan's retail landscape
• Demonstrated ability to navigate retail stakeholder ecosystems, building consensus across merchandising, supply chain, digital, and customer experience teams with multiple budget authorities and approval layers
• Proven experience exceeding revenue targets by effectively managing pipeline across seasonal retail cycles and the rapid decision-making cadence of consumer-facing businesses
• A knack for bringing order to chaos and an enthusiastic 'roll up your sleeves' mentality — you are a true team player who thrives in ambiguous, startup-like environments
• A strategic, analytical approach to identifying opportunities within Japan's retail sector combined with patient, relationship-focused execution
• A passion for and/or experience with advanced AI systems. You feel strongly about ensuring frontier AI systems are developed safely and responsibly for broad benefit
• Excellent communication skills in both Japanese and English

What We Offer

• Competitive base salary and commission structure commensurate with experience
• Equity participation
• Comprehensive benefits package
• Hybrid work model with flexibility
• Access to cutting-edge AI technology and world-class research team

Logistics

• Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience.
• 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.

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.

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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.

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

Logistics

• Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience.
• 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.

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.

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The ideal candidate will have 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 will help healthcare enterprises obtain new capabilities while also advancing the ethical development of AI.

Responsibilities:

• Win new business and drive revenue for Anthropic within the healthcare industry, focusing on health systems, hospitals, and payor organisations. Navigate complex healthcare organisations to reach key decision-makers, educate them about our services, and help them succeed with Anthropic. You'll own the full sales cycle, from outbound to close.

• Design and execute innovative sales strategies tailored to healthcare procurement cycles, value-based care initiatives, and budgeting processes to meet and exceed revenue quotas. Analyse healthcare market landscapes, trends, and dynamics to translate high-level plans into targeted sales activities and campaigns.

• Spearhead market expansion by identifying new use cases within clinical departments, care management teams, claims processing units, and administrative offices. Collaborate cross-functionally to differentiate our offerings for healthcare delivery and payor applications.

• Inform product roadmaps and features by gathering feedback from healthcare users including clinicians, care coordinators, and administrative leaders, conveying healthcare market needs. Provide insights that strengthen our value proposition for healthcare organisations.

• Continuously refine the healthcare sales methodology by incorporating learnings into playbooks, templates, and best practices. Identify process improvements that optimise sales productivity and consistency across health systems and payors.

You may be a good fit if you have:

• 5+ years of enterprise sales experience in healthcare, with demonstrated success covering health systems, hospitals, and/or payor organisations

• A track record of managing complex sales cycles within healthcare organisations and securing strategic deals by understanding both technical requirements and clinical/administrative use cases

• Extensive experience negotiating complex agreements within healthcare procurement frameworks, including understanding of value-based care contracts and payor policies

• Proven experience exceeding revenue targets in the healthcare sector by effectively managing an evolving pipeline and sales process

• Excellent communication skills and the ability to present confidently to various healthcare audiences, from physicians and nurses to C-suite executives and payor leadership

• Deep understanding of healthcare buying cycles, decision-making processes, and key pain points across both provider and payor organisations

• A strategic, analytical approach to assessing the healthcare market combined with creative, tactical execution to capture opportunities

• A passion for and/or experience with advanced AI systems and their applications in healthcare. You feel strongly about ensuring frontier AI systems are developed safely and ethically for clinical use

• Ability to develop and refine healthcare use cases for AI in collaboration with customers and channel partners, with particular focus on care delivery, population health, and administrative efficiency

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Responsibilities:

• Own and exceed revenue targets by winning new major Telecommunications accounts and expanding existing relationships across Japan's government entities and Telecommunications
• Build and execute territory plans, identifying high-value opportunities across national government ministries, prefectural and municipal governments, and quasi-governmental organisations
• Lead consultative sales processes with senior government officials, procurement leaders, and technical stakeholders, positioning AI as a driver for digital government transformation and improved citizen services
• Orchestrate internal teams (Product, Engineering, Applied AI, Partnerships) to deliver solutions that meet stringent security, compliance, and procurement requirements

You may be a good fit if you have:

• 8+ years of enterprise sales experience in Japan with significant exposure to Telecommunications sector accounts, driving adoption of emerging technologies with a consultative, solutions-oriented sales approach
• A track record of managing complex, long-cycle sales processes and securing strategic deals with government entities by understanding Telecommunications sector procurement requirements and crafting compliant solutions
• Demonstrated ability to navigate Telecommunications stakeholder ecosystems, building consensus across multiple departments, budget authorities, and approval layers
• Proven experience exceeding revenue targets by effectively managing pipeline across different government fiscal timelines
• A knack for bringing order to chaos and an enthusiastic 'roll up your sleeves' mentality. You are a true team player who thrives in ambiguous, startup-like environments
• A strategic, analytical approach to identifying opportunities within Japan's Telecommunications sector combined with patient, relationship-focused execution
• A passion for and/or experience with advanced AI systems. You feel strongly about ensuring frontier AI systems are developed safely and responsibly for public benefit
• Excellent communication skills in both Japanese and English

What We Offer

• Competitive base salary and commission structure commensurate with experience
• Equity participation
• Comprehensive benefits package
• Hybrid work model with flexibility
• Access to cutting-edge AI technology and world-class research team

Logistics

• Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience.
• 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.

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 Neural Networks, and more.

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The ideal candidate will have a passion for developing new market segments within pharmaceutical, biotechnology, and research organisations, pinpointing high-potential opportunities, and executing strategies to capture them. By driving deployment of Anthropic's emerging products, you will help life sciences enterprises obtain new capabilities while also advancing the ethical development of AI.

Responsibilities:

• Win new business and drive revenue for Anthropic within the life sciences industry, focusing on pharmaceutical companies, biotechnology firms, and research organisations.
• Design and execute innovative sales strategies tailored to life sciences procurement cycles, R&D budgeting processes, and regulatory considerations to meet and exceed revenue quotas.
• Spearhead market expansion by identifying new use cases within research departments, clinical development teams, regulatory affairs, medical affairs, and commercial organisations.
• Inform product roadmaps and features by gathering feedback from life sciences users including researchers, scientists, regulatory professionals, and commercial leaders, conveying market needs.
• Continuously refine the life sciences sales methodology by incorporating learnings into playbooks, templates, and best practices.

You may be a good fit if you have:

• 5+ years of enterprise sales experience in life sciences, with demonstrated success covering pharmaceutical companies, biotechnology firms, and/or research organisations.
• A track record of managing complex sales cycles within life sciences organisations and securing strategic deals by understanding both technical requirements and scientific/regulatory use cases.
• Extensive experience negotiating complex agreements within life sciences procurement frameworks, including understanding of R&D budget cycles and compliance requirements.
• Proven experience exceeding revenue targets in the life sciences sector by effectively managing an evolving pipeline and sales process.
• Excellent communication skills and the ability to present confidently to various life sciences audiences, from researchers and scientists to R&D leadership and C-suite executives.
• Deep understanding of life sciences buying cycles, decision-making processes, and key pain points across pharmaceutical, biotech, and research organisations.
• A strategic, analytical approach to assessing the life sciences market combined with creative, tactical execution to capture opportunities.
• A passion for and/or experience with advanced AI systems and their applications in life sciences. You feel strongly about ensuring frontier AI systems are developed safely and ethically for scientific and clinical applications.
• Ability to develop and refine life sciences use cases for AI in collaboration with customers and channel partners, with particular focus on drug discovery, clinical development, regulatory submissions, and commercial operations.

Annual compensation range for this role is $290,000 - $435,000 USD.

Logistics:

• Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience.
• Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time.
• 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.

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Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.

About the Role

Anthropic's Safeguards team is responsible for enforcing our policies, protecting users, and ensuring our platform is not misused. As a Safeguards Enforcement Analyst focused on Safety Evaluations, you'll play a central role in ensuring our models meet safety and policy standards before and after launch. You'll run and monitor evaluations, drive mitigations when issues surface, coordinate the creation of new evals, and help build the processes and documentation that allow the team to scale this work over time.

This role requires someone who is detail-oriented, comfortable navigating ambiguity, and capable of coordinating across teams to break new ground and drive work to completion. This work is deeply cross-functional — you'll partner closely with policy experts, Safeguards engineering teams, and many other stakeholders throughout the organization to ensure our evaluations are comprehensive and current, and that findings translate into meaningful improvements to model behavior.

Responsibilities

Important context for this role: In this position you may be exposed to and engage with explicit content spanning a range of topics, including those of a sexual, violent, or psychologically disturbing nature.

Vendor Operations

• Own end-to-end management of content moderation vendor relationships, including onboarding, performance management, quality assurance, and capacity planning
• Partner with internal stakeholders to define vendor scope, set SLAs, and evaluate vendor output quality on an ongoing basis
• Identify opportunities to scale content review operations efficiently as Anthropic's product surface area grows
• Develop and maintain standard operating procedures (SOPs) for all vendor-executed review workflows, ensuring consistency and accuracy across content

Regulatory Reporting and Enforcement

• Partner with Regulatory Operations to ensure that new product features and content surfaces are incorporated into Safeguards reporting workflows as they launch
• Own enforcement reporting for Regulatory Operations requirements, including maintaining and updating dashboards and tracking mechanisms that provide accurate, timely data to regulatory bodies
• Produce on-request read-outs of enforcement metrics over specified time ranges to support regulatory reporting obligations
• Identify and drive improvements to existing reporting infrastructure — including transitioning manual, spreadsheet-based workflows to more robust and scalable solutions
• Oversee the user-reported content review pipeline, including reviews submitted via the Content Reporting Form across all supported content surfaces
• Ensure SOPs for content review workflows are kept current as new features and surfaces are added
• Work collaboratively with the RegOps team to ensure intake processes are prepared to handle emerging report types (e.g., third-party MCP server reports)
• Maintain a strong understanding of Anthropic's policy framework to provide informed operational guidance and escalation support

Copyright Operations

• Oversee Safeguards copyright systems, ensuring the right operational processes are in place to handle copyright-related enforcement at scale
• Partner closely with the Regulatory Operations team to scale copyright operations as Anthropic's products grow, with a particular focus on reducing false positives and improving the accuracy of copyright enforcement workflows
• Identify gaps in current copyright operational processes and drive cross-functional solutions in collaboration with policy, legal, and engineering stakeholders

You may be a good fit if you:

• Have 5+ years of experience in trust and safety operations, content moderation program management, or a related field
• Have managed external vendor or contractor relationships, including performance management and quality assurance
• Are comfortable working across policy, legal, and operations teams to translate compliance requirements into practical workflows
• Have experience building or improving operational reporting, dashboards, or enforcement tracking systems
• Are highly organized, with a track record of maintaining rigorous documentation and SOPs in fast-moving environments
• Communicate clearly and precisely — both in writing and verbally — across technical and non-technical audiences
• Are energized by the challenge of building scalable systems in an environment where not everything is already figured out
• Care deeply about the responsible deployment of AI and the role enforcement operations plays in that mission

Strong candidates may also have:

• Experience working with regulatory reporting requirements, particularly in the context of online platforms or AI systems
• Familiarity with content moderation tooling and review workflows at scale
• Experience with copyright enforcement operations, including false positive mitigation strategies
• Background in policy enforcement, legal operations, or compliance program management
• Experience supporting or standing up a new operational function, including writing foundational SOPs and building institutional knowledge from scratch
• Comfort working with data and metrics to inform operational decisions and surface trends to leadership

The annual compensation range for this role is listed below.

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Replit is seeking a skilled Software Engineer to join our team. As a Software Engineer at Replit, you will design and develop collaborative software applications that enable humans and AI agents to work together on shared shells, filesystems, and state.

Responsibilities:

• Design a collaborative 'Multiplayer Computer' that lets humans and AI agents work together on shared shells, filesystems, and state—conflict-free and in real time
• Build high-throughput backend applications and services
• Create tooling that helps AI systems minimize mistakes through static analysis and deterministic techniques
• Develop infrastructure (frontend & backend) that empowers product engineers to rapidly ship delightful user experiences
• Support sophisticated user interfaces, including terminals, code editors, window-management systems, and innovative experiences that require both creativity and algorithmic skill

Requirements:

• Bachelor of Computer Science or equivalent and 4 years of experience as a Software Engineer
• Must also possess 2 years experience building frontend; 2 years experience building backend; 2 years experience in at least one of the following: Developing rich and complex browser-based applications, Building high-throughput and novel backend services, Creating frontend infrastructure used by 100+ engineers, or Shipping your own products and engaging directly with users
• 2 years of experience with Typescript; Must be able to successfully complete competency-based interviews

Benefits:

• Competitive Salary & Equity
• 401(k) Program with a 4% match
• Health, Dental, Vision and Life Insurance
• Short Term and Long Term Disability
• Paid Parental, Medical, Caregiver Leave
• Commuter Benefits
• Monthly Wellness Stipend
• Autonomous Work Environment
• In Office Set-Up Reimbursement
• Flexible Time Off (FTO) + Holidays
• Quarterly Team Gatherings
• In Office Amenities

Want to learn more about what we are up to?

• Meet the Replit Agent
• Replit: Make an app for that
• Replit Blog
• Amjad TED Talk

Interviewing + Culture at Replit

• Operating Principles
• Reasons not to work at Replit

To achieve our mission of making programming more accessible around the world, we need our team to be representative of the world. We welcome your unique perspective and experiences in shaping this product. We encourage people from all kinds of backgrounds to apply, including and especially candidates from underrepresented and non-traditional backgrounds.

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Location

San Francisco

Employment Type

Full time

Location Type

Hybrid

Department

Research

Compensation

• $380K • Offers Equity

The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.

Benefits

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts

• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)

• 401(k) retirement plan with employer match

• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)

• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees

• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

• Daily meals in our offices, and meal delivery credits as eligible

• Relocation support for eligible employees

• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

About the Team

The Sora team is pioneering multimodal capabilities for OpenAI’s foundation models. We’re a hybrid research and product team focused on integrating multimodal functionalities into our AI products, ensuring they are reliable, user-friendly, and aligned with our mission of broad societal benefit.

About the Role

We’re looking for a GPU Inference Engineer to contribute to improvements in model serving efficiency for Sora. This is a high-impact role where you’ll drive initiatives to optimize inference performance and scalability. You’ll also be engaged in model design, to help assist our researchers in developing inference-friendly models.

_This role is critical to scaling the team’s broader goals - it will directly enable leadership to focus on higher-leverage initiatives by building a stronger technical foundation._

Responsibilities

• Perform engineering efforts focused on improving model serving, inference performance, and system efficiency

• Drive optimizations from a kernel and data movement perspective to improve system throughput and reliability

• Partner closely with research and product teams to ensure our models perform effectively at scale

• Design, build, and improve critical serving infrastructure to support Sora’s growth and reliability needs

Requirements

• Have deep expertise in model performance optimization, particularly at the inference layer

• Have a strong background in kernel-level systems, data movement, and low-level performance tuning

• Are excited about scaling high-performing AI systems that serve real-world, multimodal workloads

• Can navigate ambiguity, set technical direction, and drive complex initiatives to completion

_This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees._

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.

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Location

San Francisco

Employment Type

Full time

Location Type

Hybrid

Department

Model Deployment for Business

Compensation

• $198K – $335K • Offers Equity

The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.

Benefits

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts

• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)

• 401(k) retirement plan with employer match

• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)

• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees

• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

• Daily meals in our offices, and meal delivery credits as eligible

• Relocation support for eligible employees

• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

About the team

OpenAI’s Forward Deployed Engineering team partners with global pharma and biotech, CROs, and research institutions to deploy existing expertise across the R&D value chain to help customers design and ship production-grade AI systems. We operate at the intersection of customer delivery and core platform development, converting early deployments into repeatable system standards and evaluation practices that scale across regulated environments.

About the role

We are hiring a Forward Deployed Engineer (FDE) to push the frontier on what is possible today across drug discovery (e.g., target identification, molecular design, pre-clinical) and development (e.g., trial design, trial ops, biostats) by leading end-to-end deployments of our models inside life sciences organizations and research institutions. You will work with customers who are deep experts in their scientific or operational domains, translating real-world data, infrastructure, and constraints into production systems.

Responsibilities

• Design and ship production systems around models, owning integrations, data provenance, reliability, and on-call readiness across research, clinical, and operational workflows.

• Lead discovery and scoping from pre-sales through post-sales, translating ambiguous workflow needs into hypothesis-driven problem framing, system requirements, and an execution plan with measurable endpoints.

• Define and enforce launch criteria for regulated contexts, including validation evidence, audit readiness, outcome metrics, and drive delivery until we demonstrate sustained production impact.

• Build in sensitive scientific data environments where auditability, validation, and access controls shape architecture, operating procedures, and failure handling.

• Run evaluation loops that measure model and system quality against workflow-specific scientific benchmarks and use results to drive model and product changes.

• Distill deployment learnings into hardened primitives, reference architectures, validation templates, and benchmark harnesses that scale across regulated life sciences environments.

Requirements

• Bring 5+ years of software/ML engineering or technical deployment experience with customer-facing ownership in biotech, pharma, clinical research, or scientific software; PhD, MS, or equivalent applied experience in a life sciences relevant field encouraged.

• Have owned customer GenAI deployments end-to-end from scoping through production adoption, and improved them through evaluation design, error analysis, and iterative evidence generation that tightens acceptance criteria over time.

• Have delivered AI systems in trial design, regulatory writing, or scientific operations where validation strategy, auditability, compliance constraints, and reviewer expectations shaped system design and rollout.

• Communicate clearly across scientific, clinical, model research, technical, and executive audiences, translating technical tradeoffs into decision quality, risk posture, and measurable outcomes with credibility.

• Apply systems thinking with high execution standards, consistently turning failures, escalations, and audit findings into improved operating standards, validat

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About the Team

OpenAI’s mission is to ensure that artificial general intelligence (AGI) benefits all of humanity. A key part of achieving that mission is training models that deeply understand and reflect human preferences — the Human Data team is at the heart of that effort.

The Human Data engineering team creates the systems that enable scalable, high-quality human feedback. These systems are essential to how OpenAI trains and improves its most advanced models. Engineers on this team collaborate closely with world-class researchers to bring alignment techniques to life — from experimental ideas to production-ready feedback loops.

About the Role

We’re looking for software engineers to join the Human Data team and build the platforms, prototypes, tools, and infrastructure that power how our AI models are trained, aligned, and evaluated. You’ll partner with researchers and cross-functional teams to bring alignment ideas to life, influence future model training, and shape how models interact with the real world.

We’re looking for people who are excited by technical ownership, enjoy working across the stack, and are eager to solve ambiguous problems in a high-impact, fast-paced environment.

This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.

In this role, you will:

• Build and maintain robust full-stack systems for feedback collection, data labeling, and evaluation pipelines, while maintaining high levels of security.

• Translate experimental alignment research into scalable production infrastructure, including inference and model training stacks.

• Design and iterate on user-facing tools and backend services to support high-quality data workflows

• Partner with researchers, engineers, and program leads to shape feedback loops and model interaction paradigms

• Drive infrastructure improvements that enable faster iteration and scaling across OpenAI’s frontier models, from internal research tooling all the way to production ChatGPT.

You might thrive in this role if you:

• Have strong software engineering fundamentals and experience building production systems at scale

• Enjoy full-stack development with end-to-end ownership — from backend pipelines to user interfaces

• Are motivated by high-impact collaboration with research teams and solving novel, ambiguous problems

• Are excited to shape how AI systems learn from human preferences and reflect a broad range of human values

• Care deeply about inclusive tooling and building systems that enhance model safety, reliability, and usefulness

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.

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About the Team

The Intelligence and Investigations team seeks to rapidly identify and mitigate abuse and strategic risks to ensure a safe online ecosystem in close collaboration with our internal and external partners. Our efforts contribute to OpenAI's overarching goal of developing AI that benefits humanity.

The Strategic Intelligence & Analysis (SIA) team provides safety intelligence for OpenAI’s products by monitoring, analyzing, and forecasting real-world abuse, geopolitical risks, and strategic threats. Our work informs safety mitigations, product decisions, and partnerships, ensuring OpenAI’s tools are deployed securely and responsibly across critical sectors.

About the Role

We are looking for a Cybersecurity Landscape Analyst to help OpenAI understand how the external cyber threat environment is evolving—and what it means for our products, customers, and the broader AI ecosystem.

This is an outward-facing intelligence and analysis role. The Cybersecurity Landscape Analyst monitors emerging attacker TTPs, threat-group behaviors, infrastructure trends, and real-world cyber innovation at the intersection of AI and all cyber threat surfaces including devices and robotics. Using structured research, competitive intelligence, adversarial thinking, and scenario analysis, you will stress-test assumptions about how frontier AI capabilities could be misused, targeted, or integrated into broader cyber campaigns—even in the absence of active warnings or internal incidents.

This role does not conduct internal investigations, run detection on platform data, or own OpenAI’s infrastructure protection or incident response. Instead, this role translates the external cyber landscape into clear risk context, strategic foresight, and decision support for internal stakeholders, with defined handoffs into operational, detection, and security teams. While not the owner of those functions, the role works closely across cross-functional teams, drawing on their operational perspectives to sharpen external analysis, while bringing to them external insights, threat trends, and insights regarding attacker innovation to inform priorities and preparedness. In other words, this role sits at the boundary between external intelligence and internal execution, ensuring bi-directional flow between strategic cyber analysis and the teams responsible for implementation. Your work will synthesize signals from external sources alongside insights from Integrity, Security, and Safety Systems teams to produce crisp strategic assessments, priority questions, and actionable recommendations.

In this role, you will

• Monitor and interpret the evolving cyber threat landscape

• Track emerging cyber TTPs, attacker innovation, threat-group behavior, and ecosystem-level shifts relevant to AI systems.

• Analyze how state actors, criminal networks, hacktivists, and hybrid actors are adapting AI tools—or targeting AI infrastructure.

• Identify structural risk patterns that may affect AI providers, customers, and downstream sectors.

• Conduct structured external research and adversarial analysis

• Use competitive intelligence, red-team style thinking, and scenario methods to explore how frontier AI capabilities could be exploited or targeted.

• Develop forward-looking assessments of how cyber threats may evolve over 6–24 months.

• Surface “unknown unknowns” and stress-test prevailing assumptions about attacker incentives, constraints, and capabilities.

• Translate external signals into strategic risk context for cross-functional teammates

• Produce concise, executive-ready intelligence estimates that articulate threat relevance, potential impact pathways, and confidence levels.

• Develop priority questions and structured risk frames that inform product, safety, security, and

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Location

San Francisco

Employment Type

Full time

Department

Finance

Compensation

• $216K – $240K • Offers Equity

The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.

Benefits

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts

• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)

• 401(k) retirement plan with employer match

• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)

• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees

• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

• Daily meals in our offices, and meal delivery credits as eligible

• Relocation support for eligible employees

• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

About the Team

OpenAI Finance is responsible for ensuring the organization is set up for success in pursuit of its mission.

The Finance Program Management Office (FinPMO) is responsible for driving and scaling cross-functional finance programs and M&A integrations. FinPMO partners closely across Accounting, Strategic Finance, Corporate Development, Equity, Procurement, Treasury, Risk, and Legal to ensure financial change through M&A and other new business models is executed in a controlled, auditable, and operationally effective way.

About the Role

As a M&A Finance Integration Lead, you will own and scale OpenAI’s finance integration model. This is a highly cross-functional, transactions driven role for someone who can bring structure to ambiguity, translate deal complexity into executable workplans, and drive successful M&A outcomes across multiple teams.

We’re looking for someone to be the central point of accountability to oversee finance workstreams across the full M&A lifecycle. You’ll ensure integrations are executed cleanly, financial risks are mitigated early, and our books, controls, and systems remain stable as OpenAI scales.

This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.

In this role, you will:

• Define and build standardized, scalable M&A finance integration frameworks.

• Drive consistent execution across multiple, simultaneous M&A integrations.

• Ensure timely, accurate M&A diligence including historical financials, revenue, equity, tax, and procurement.

• Lead integration planning for deal close readiness across accounting, valuation, payroll, banking, entities, and controls.

• Translate deal terms and integration strategy into actionable workplans, timelines, and dependencies.

• Ensure on track deal execution accounting, operational integration, systems cutover, and reporting.

• Proactively surface post-close deal integration risks and drive mitigation plans.

You might thrive in this role if you have:

• 10+ years of experience across M&A, deal integration and finance transformation, ideally in an Investment Banking/PE backed environment and/or high-growth technology company.

• Demonstrated experience leading multiple, concurrent M&A negotiations and deal integrations with complex cross-functional dependencies.

• Strong understanding of deal accounting, controls and reporting in a fast changing environment.

• Exceptional stakeholder management and executive communication skills.

• A Bachelor’s degree in Finance, Business Administration, or a related field (CPA or MBA a plus).

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.

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Location

San Francisco; New York City

Employment Type

Full time

Location Type

On-site

Department

Data Science

Compensation

• $293K – $515K • Offers Equity

The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts

• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)

• 401(k) retirement plan with employer match

• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)

• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees

• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

• Daily meals in our offices, and meal delivery credits as eligible

• Relocation support for eligible employees

• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

More details about our benefits are available to candidates during the hiring process.

This role is at-will and OpenAI reserves the right to modify base pay and other compensation components at any time based on individual performance, team or company results, or market conditions.

About the Team

Our B2B product organisation is building the systems that will accelerate and automate how companies operate using AI coworkers. Our vision is to enable companies to scale to $1B+ with teams of fewer than five people by leveraging AI agents and automation. We are building the infrastructure, products, and analytics that allow organisations to deploy fleets of AI agents, automate workflows, and dramatically increase employee productivity. This team sits at the centre of the future of work: defining how humans collaborate with AI systems across companies, workflows, and knowledge.

About the Role

We are looking for a product-focused Data Scientist to help shape the next generation of AI-powered enterprise products, including ChatGPT Enterprise and agentic automation systems.

This is not a traditional analytics role. You will work directly with product managers, engineers, and researchers to define how AI agents behave, how organisations adopt them, and how we measure their impact on work.

You’ll analyse how users interact with AI systems, inform product strategy, and help build the measurement frameworks that guide the future of enterprise AI.

In this role, you will:

• Partner closely with product, engineering, and research teams to shape AI-powered enterprise products

• Define metrics and measurement frameworks for AI agents, automation workflows, and enterprise adoption

• Analyse how organisations use AI tools and identify opportunities to improve product experience and business impact

• Drive insights around enterprise adoption, retention, and value realisation

• Inform product decisions around agent orchestration, enterprise workflows, and AI productivity tools

• Design experiments and evaluations that improve AI system performance and user outcomes

• Help define how companies operate with AI coworkers and automated workflows

What We’re Looking For

Must Have:

• Strong product analytics or data science experience

• Deep curiosity about AI systems and how they change how work gets done

• Ability to work closely with product and engineering teams in 0→1 product environments

• Strong analytical skills (experimentation, behavioural analysis, product metrics)

• Builder mindset — someone who wants to shape products, not just analyse them

Nice to Have:

• Experience with B2B SaaS or enterprise analytics

• Experience with developer platforms, APIs, or technical products

• Background in AI/ML systems, agent frameworks, or LLM-based products

• Systems thinking around how complex tools and workflows operate at scale

Who Thrives Here:

• AI-native — actively experimenting with and building with AI tools

• Product thinkers who want to shape the future of work

• Builders who enjoy early-stage ambiguity and 0→1 problems

• Operators who can work independently and drive large parts of a product area

Impact

You will help define:

• How organisations deploy and manage AI agents

• How AI transforms enterprise productivity

• The measurement systems behind AI-native companies

• This is an opportunity to help create the “Codex moment” for non-coding work — defining how businesses operate in an AI-first world.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.

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Location

San Francisco

Employment Type

Full time

Department

Applied AI

Compensation

• $293K – $405K • Offers Equity

The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts

• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)

• 401(k) retirement plan with employer match

• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)

• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees

• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

• Daily meals in our offices, and meal delivery credits as eligible

• Relocation support for eligible employees

• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

More details about our benefits are available to candidates during the hiring process.

This role is at-will and OpenAI reserves the right to modify base pay and other compensation components at any time based on individual performance, team or company results, or market conditions.

About the Team

Identity is the foundation of trust in an AI-powered world. As people build a rich personal and organizational context in ChatGPT, they need systems that protect it, remember it, and let them share it securely across apps and agents. Without strong identity, context stays locked away or exposed. With it, AI becomes safe, personal, and truly useful, empowering users while keeping control firmly in their hands. Our team builds the trusted OpenAI account layer that connects people, enterprises, developers, and agents to OpenAI apps and the broader AI ecosystem.

About the Role

As a Senior Software Engineer on the Identity team, you will build and evolve the foundational identity platform that serves all OpenAI users across our products. You’ll lead the design and implementation of core identity systems — including authentication, authorization, access control, and account management — enabling individuals, teams, and businesses to securely manage accounts at scale while keeping the user experience seamless. This role spans our entire product fleet, including ChatGPT, the API, Sora, Codex, and Atlas, and involves close collaboration with product and platform engineers who rely on identity as critical infrastructure. You’ll drive major architectural initiatives, mentor other engineers, and make platform-level decisions where security, correctness, and reliability are paramount.

In this role, you will:

• Architect and build the next generation of Identity at OpenAI – including new use cases such as Agent identity and Sign In With ChatGPT

• Design and build our identity infrastructure for consumer internet scale, while also solving scalability bottlenecks as they arise.

• Build powerful identity primitives, APIs, and internal tooling that enable product teams across OpenAI to integrate seamlessly with the account and access-control layer.

• Collaborate closely with a broad set of stakeholders, including product, design, go-to-market, and other engineers.

You might thrive in this role if you:

• Bring 7+ years of experience building and shipping production systems at product-driven technology companies, with a track record of owning meaningful technical scope.

• Care deeply about reliability, safety, and performance in production environments.

• Have experience or interest in Authentication, Authorization, Federation, and Identity Management.

• Naturally take ownership end-to-end, are comfortable navigating unfamiliar systems, and are eager to learn whatever’s needed to solve hard problems well.

• Thrive in fast-moving environments, bringing structure to ambiguous problems, balancing competing priorities, and making sound tradeoffs as the company and platform evolve.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. They push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through their products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve their mission, they must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.

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San Mateo, CA, United States

Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators.

At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device.

A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone.

You Will

As a Senior Machine Learning Engineer on the AI Platform team, you will be a key contributor to building the cutting-edge systems that power AI at Roblox. You will focus on one of three high-impact tracks:

Track 1: AI Platform Projects

• Pioneer next-generation AI tooling to enhance the efficiency, cost, and usability of ML@Roblox.
• Build and maintain core platform components: Serving Layer, Model Registry, Pipeline Orchestrator, and Training/Inference control planes.
• Design great developer experiences (paved-road templates, tooling, visualizations) to reduce time-to-production and ensure foundational AI systems are scalable and reliable.

Track 2: Distributed Inference & Systems Optimization

• Architect and implement scalable distributed inference systems for efficiently serving LLMs and Large Recommender Models at massive scale.
• Conduct deep, low-level performance analysis and optimize ML models (using techniques like continuous batching, speculative decoding, and quantization) and systems on GPU architectures to maintain peak performance and stability.

Track 3: Information Retrieval & RAG for Gen AI

• Lead the design and development of Retrieval-Augmented Generation (RAG) systems.
• Build and maintain core information retrieval infrastructure—vector databases and knowledge graphs—to enable accurate grounding of Gen AI models.
• Ship language models and 3D objects as a service for the Roblox community, making creation easier.

You Have

• Possessing or pursuing a Ph.D. in Computer Science, Computer Engineering, Mathematics, Statistics, or a related technical field, with a thesis aligned to Roblox’s research areas.
• Experience with high performance distributed systems, ML Infrastructure, LLM fine tuning/RL, Information Retrieval and Gen AI context generation.
• Expertise in one or more of the following key areas:
• AI/ML Platform Data stores - Features stores, Vector DBs and Knowledge Graphs.
• LLMs - Fine tuning, Safety.
• Agentic systems - Agent evaluation, context engineering.

• Experience building agentic applications with context for real world applications.
• Collaborative mindset and experience integrating and deploying optimized models with cross-functional teams, including data scientists and software engineers.
• Experience with graph databases and large-scale GNNs (Graph Neural Networks)
• Experience working with Kubernetes
• Experience working with one or more cloud providers (e.g., AWS, Azure, GCP)
• Experience working with high availability systems
• Experience working with ML models, LLMs or other AI systems

You may redact age, date of birth, and dates of attendance/graduation from your resume if you prefer.

As you apply, you can find more information about our process by signing up for Speak\_. You'll gain access to our practice assessment, comprehensive guides, FAQs, and modules designed to help you ace the hiring process.

For roles that are based at our headquarters in San Mateo, CA: The starting base pay for this position is as shown below. The actual base pay is dependent upon a variety of job-related factors such as professional background, training, work experience, location, business needs and market demand. Therefore, in some circumstances, the actual salary could fall outside of this expected range. This pay range is subject to change and may be modified in the future. All full-time employees are also eligible for equity compensation and for benefits as described on this page.

Annual Salary Range

$195,780—$242,100 USD

Roles that are based in an office are onsite Tuesday, Wednesday, and Thursday, with optional presence on Monday and Friday (unless otherwise noted).

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What you'll do

• Architect multi-agent systems and agentic workflows for IP R&D automation
• Design and implement AI copilots with tool use, planning, and memory capabilities

What you need

• 5+ years in software development with AI/ML focus
• Expertise in GenAI, RAG, and agentic AI systems

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Microsoft AI are looking for a talented Member of Technical Staff - Senior ML Engineer to join their team in Zürich, Switzerland. This role will involve working on the development and deployment of AI models, with a focus on Vision-Language Models. The successful candidate will have a strong background in machine learning and experience working with large-scale AI systems.

About the Role

As a Senior ML Engineer at Microsoft AI, you will be responsible for designing and developing AI models that can be used in a variety of applications. This will involve working with a team of engineers and researchers to develop and deploy AI models, as well as collaborating with other teams to integrate AI into their products and services. You will also be responsible for ensuring that AI models are accurate, reliable, and scalable.

Accountabilities

• Design and develop AI models that can be used in a variety of applications
• Work with a team of engineers and researchers to develop and deploy AI models
• Collaborate with other teams to integrate AI into their products and services
• Ensure that AI models are accurate, reliable, and scalable

The Candidate we're looking for

Experience:

• 4+ years of experience in machine learning
• Experience working with large-scale AI systems

Technical skills:

• Strong background in machine learning
• Experience with Vision-Language Models
• Experience with large-scale AI systems

Personal attributes:

• Strong problem-solving skills
• Excellent communication skills
• Ability to work in a team environment

Benefits

• Competitive salary and benefits package
• Opportunity to work on cutting-edge AI projects
• Collaborative and dynamic work environment
• Professional development opportunities

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Microsoft AI are looking for a talented Senior Applied Scientist at their Redmond office. This role sits at the heart of strategic decision-making, turning market data into actionable insights for a company that's revolutionising AI technology. You'll work directly with leadership to shape the company's direction in the AI market.

About the Role

As a Senior Applied Scientist, you will join the asset generation team in Microsoft AI focusing on image and video retrieval, recommendation and generation. You will build core generative AI solutions that power customer-facing AI solutions and services for Microsoft Advertising at Bing platforms. In this role, you'll combine solid computer vision skills with applied ML expertise to design, prototype, evaluate and ship production systems—using techniques like knowledge distillation, prompt engineering, reinforcement learning, image/video processing and rigorous evaluation/metrics to continuously improve image and video asset qualities. You'll partner closely across product, research, and service engineering to deliver the innovative and robust solutions for enterprise customers.

Accountabilities

• Research, develop, and build effective and innovative production-grade generative AI and classical computer vision systems, with end-to-end ownership from concept through deployment and service operations.
• Lead technical design for core GenAI capabilities on image and video assets (e.g., image and video generation, super-resolution and summarization) and make data-driven tradeoffs across quality, latency, cost, and safety.

The Candidate we're looking for

Experience:

• Bachelor’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics predictive analytics, research) OR Master’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research) OR equivalent experience.

Technical skills:

• Demonstrated solid modelling skills in training and inferencing on online and offline computer vision models and related performance optimization for latency and artifact.
• Experience with prompt engineering, knowledge distillation and post-training.
• Experience building and shipping generative AI systems (including image and video systems).

Personal attributes:

• Track record of delivering enterprise-facing AI products at scale.
• Experience building and operating ML/AI systems in cloud environments; familiarity with MLOps practices (Azure a plus).
• Experience in publishing papers in top-tier computer vision and machine learning conferences such as CVPR, ICML, ICCV, Neurips and ICLR.

Benefits

• Competitive salary.
• Comprehensive benefits package.
• Opportunities for professional growth and development.
• Collaborative and dynamic work environment.

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Microsoft AI are looking for a talented Senior Product Designer at their Hyderabad office. This role sits at the heart of strategic decision-making, turning abstract AI potential into tangible, elegant user experiences. You'll work directly with leadership to shape the company's direction in the AI space.

About the Role

As a Senior Product Designer at Microsoft AI, you will be responsible for designing world-class AI applications that delight consumers with an emphasis on craft, quality, trust, and positive user and societal impact. You will translate abstract AI potential into tangible, elegant user experiences. You will drive speculative design explorations, future concepts, and vision work that stretch what's possible, must value craft and translate vision into well-polished design prototypes.

Accountabilities

• Ship world-class AI applications that delight consumers with an emphasis on craft, quality, trust, and positive user and societal impact.
• Translate abstract AI potential into tangible, elegant user experiences.
• Drive speculative design explorations, future concepts, and vision work that stretch what's possible, must value craft and translate vision into well-polished design prototypes.

The Candidate we're looking for

Experience:

• Master's Degree in Industrial Design, Product Design, Human Computer Interaction, User Experience, Interaction Design, or related field AND 4+ years experience working in product or service design OR Bachelor's Degree in Industrial Design, Product Design, Human Computer Interaction, User Experience, Interaction Design, or related field AND 5+ years experience working in product or service design OR equivalent experience (e.g., demonstrated experience working in product or service design or using design thinking to solve problems).

Technical skills:

• Visual design portfolio demonstrating excellence in interaction design, visual systems, and craft, with proven experience designing and shipping consumer products at scale.
• Mastery across the full spectrum of product design, from high level systems thinking and information architecture to nuanced micro interactions, with the ability to design experiences that adapt through AI input and human feedback, especially in shared or group contexts.

Personal attributes:

• A proven track record of solving complex and ambiguous problems with creativity and clarity, including work at the intersection of design, AI technology, product strategy, and user behavior in socially rich or consumer facing environments.
• Demonstrated ability to leverage qualitative and quantitative research, behavioral signals, and real-world usage data to inform design decisions and create adaptive, personalized experiences for diverse user groups.

Benefits

• Competitive salary and benefits package.
• Opportunities for professional growth and development.
• Collaborative and dynamic work environment.

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What you'll do

• Context Engineering: Design, test, and optimize context strategies and system prompts that shape answer engine behavior across products, features, and use cases.
• Evaluation Systems: Build automated and semi-automated evaluation pipelines that measure model quality, catch regressions, and scale across product surfaces.
• Model Launch Support: Partner with research and engineering to validate model behavior before and during rollouts, ensuring smooth transitions with no degradation.
• Research & Analysis: Identify inconsistencies and failure modes in model outputs through well-designed research projects — for both internal and production-facing systems.
• Cross-functional Collaboration: Work closely with design, product, and research teams to translate product goals into concrete model behavior requirements.
• Knowledge Sharing: Help engineers across teams build intuition for prompt design, context engineering, and evaluation best practices.
• Staying Current: Track the latest alignment, evaluation, and prompting techniques from industry and academia, and bring the best ideas back to the team.

What you need

• Experience designing evaluations, benchmarks, or metrics for AI systems.
• Strong written and verbal communication skills, particularly in explaining complex concepts to diverse stakeholders.
• Ability to manage multiple concurrent projects in a fast-moving environment.
• Strong experience with Perplexity or other frontier AI models in production settings.
• Demonstrated experience with Python — you'll prototype, debug, automate, and build systems at scale.
• 3+ years of experience working with LLMs in a product or research setting.

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What you'll do

• Define and execute the macro research direction across multiple modalities, including post-training LLMs for agent trajectories and future mid-training initiatives
• Lead strategic research planning and roadmap development to advance Sonar model capabilities
• Drive innovation in supervised and reinforcement learning techniques for query answering
• Collaborate with leadership to align research priorities with product and business objectives

What you need

• Minimum of 5 years of experience working on relevant AI/ML projects with 3+ years in a technical leadership role
• Proven track record of leading and mentoring technical and research teams
• A Computer Science graduate degree at a premier academic institution
• Deep expertise with large-scale LLMs and Deep Learning systems
• Strong programming skills with versatility across multiple languages and frameworks
• Demonstrated ability to set technical vision and drive execution
• Experience with pre-training and post-training techniques (self-supervised learning along with SFT/DPO/GRPO/PPO)
• Self-starter with exceptional ownership mentality and ability to work in ambiguous environments
• Passion for solving challenging problems and pushing the boundaries of AI research

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What you'll do

• Work closely with art and design to create and iterate on gameplay AI features
• Experiment with game design and use rapid prototyping while ensuring that strong architectural and algorithmic decisions are made
• Drive, build and maintain core AI systems in the Fortnite AI ecosystem
• Collaborate with Engine AI developers to improve AI systems
• Ensure high quality user experiences across all platforms we support
• Optimize and fix bugs in existing gameplay AI systems

What you need

• Experience developing games professionally, and shipping AAA titles with AI experience
• Experience working with AI systems (Behavior Trees, Finite State Machine, Pathfinding, etc.)
• Strong C++ skills and the ability to code and develop AI gameplay mechanics and tools

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What you'll do

• Work closely with art and design to create and iterate on gameplay AI features
• Experiment with game design and iterate rapidly while ensuring that strong technical and algorithmic decisions are made
• Drive, build and maintain core AI systems shared in the Fortnite AI ecosystem
• Collaborate with engine AI developers to improve AI systems
• Ensure high-quality user experiences across all platforms we support
• Optimize and fix bugs in existing gameplay AI systems

What you need

• Experience developing games professionally, and shipping AAA titles with AI experience
• Experience working with AI systems (Behavior Trees, Finite State Machine, Pathfinding, Animation, etc.)
• Excellent C++ skills and the ability to code and develop AI gameplay mechanics and tools

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What you'll do

• Work closely with art and design to create and iterate on gameplay AI features
• Experiment with game design and iterate rapidly while ensuring that strong architectural and algorithmic decisions are made
• Drive, build and maintain core AI systems shared in the Fortnite AI ecosystem
• Collaborate with engine AI developers to improve AI systems
• Ensure high-quality user experiences across all platforms we support
• Optimize and fix bugs in existing gameplay AI systems

What you need

• Experience developing games professionally, and shipping AAA titles with AI experience
• Experience working with AI systems (Behavior Trees, Finite State Machine, Pathfinding, Animation, etc.)
• Excellent C++ skills and the ability to code and architect AI gameplay mechanics and tools

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