Our team is responsible for adopting Generative AI technologies to enable an intelligent, scalable, and exceptional service experience. We work closely with product, design, and other engineering counterparts to design and build efficient AI solutions for Airbnb's CS products.

As a Staff Machine Learning Engineer, you will have the opportunity to shape the direction of our AI initiatives and work on cutting-edge projects that transform Airbnb's customer service. You will be responsible for envisioning, championing, and supporting the development of novel ML systems, product integrations, and performance optimizations to solve real-world problems.

Requirements:

• PhD/Master's degree in Computer Science or equivalent experience
• 6/9+ years of ML engineering experience with ownership responsibility over large-scale software systems
• Background in the design and development of AI and ML systems and services
• Experience with LLM driven chatbot and Agentic AI products is a plus
• Excellent communication skills and the ability to work well within a team and with teams across the engineering, product & design organizations

Our Commitment to Inclusion & Belonging:

Airbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement, and allow us to attract creatively-led people, and to develop the best products, services, and solutions. All qualified individuals are encouraged to apply.

How We'll Take Care of You:

Our job titles may span more than one career level. 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 subject to change and may be modified in the future. This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits.

Pay Range: $204,000-$255,000 USD

XML job scraping automation by YubHub

XML job scraping automation by YubHub

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. There is also an on-call responsibility across the Policy and Enforcement teams.

Responsibilities:

Own the end-to-end enforcement strategy against unauthorized frontier model abuse , from detection signal development through enforcement action and post-enforcement measurement

Operationalize detection and review pipelines , translating leads from case investigations and detection outputs into structured review workflows that scale across surfaces

Drive enforcement actions for high-priority actors , synthesizing signals from across intelligence, detection, and review into enforcement packages suitable for formal escalation

Partner with Legal and Policy to assess case strength, characterize ToS and IP violations, and support enforcement escalations through formal channels

Close the loop between enforcement outcomes and upstream improvements , channeling review results and enforcement findings back to policy updates and detection refinements

Develop and maintain a dynamic enforcement framework that accounts for the complexity of cross-surface enforcement , including varied escalation paths, partner coordination, and enforcement consistency across surfaces

Collaborate with Threat Intelligence, Research, Engineering, and Policy partners to ensure detection coverage keeps pace with evolving frontier abuse tactics

Maintain rigorous documentation of enforcement decisions, pipeline logic, and precedents to build institutional knowledge

Qualifications:

Required

5+ years of experience in trust & safety, abuse enforcement, fraud investigation, policy, or a related field , with demonstrated ownership of complex, high-stakes enforcement programs

Track record of building detection and enforcement approaches for novel or emerging abuse vectors where established playbooks don't exist

Experience supporting or directly contributing to formal enforcement actions , including case documentation, evidence packaging, and escalation coordination

Strong data analysis skills , comfortable navigating complex, multi-table datasets to surface behavioral patterns and support investigations

Experience conducting structured investigations, including open-source intelligence techniques and cross-referencing external data sources to attribute activity

Demonstrated ability to translate ambiguous policy questions into defensible enforcement decisions and clear written findings

Strong written and verbal communication skills , able to present complex enforcement cases clearly to stakeholders across Legal, Policy, and Engineering

Preferred

Familiarity with the AI/ML ecosystem , including how model distillation, fine-tuning, and synthetic data generation work in practice, and how actors attempt to obscure this activity

Experience conducting threat actor profiling or open-source investigations in a trust & safety, intelligence, or legal context

Experience working with generative AI products, including using AI tools to accelerate investigative and analytical workflows

Background or interest in AI policy, IP enforcement, competitive intelligence, or AI governance

Experience coordinating with external enforcement partners or platform partners on escalated enforcement actions

Education: At least a Bachelor's degree in a relevant field, or equivalent experience.

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: $230,000-$270,000 USD

XML job scraping automation by YubHub

You will help define best practices for developers building on claude for deployment to users across different developmental stages, design age-assurance policies that protect minors from inappropriate content and interactions, and establish clear boundaries for adult content and experiences. In addition, you will advise teams on opportunities for age-appropriate helpfulness, including advising cross-functional teams on beneficial use cases for younger users where appropriate.

Safety is core to our mission and you’ll help shape policy creation and development so that our users can safely interact with and build on top of our products in a harmless, helpful and honest way.

Responsibilities:

• Serve as an internal subject matter expert, leveraging deep expertise in child safety, adult content, youth development, and age-appropriate design to:

• Draft new policies that help govern the responsible use of our models for emerging capabilities and use cases

• Design evaluation frameworks for testing model performance in areas of expertise

• Conduct regular reviews and testing of existing policies to identify and address gaps and ambiguities

• Review flagged content to drive enforcement and policy improvements

• Update our usage policies based on feedback collected from external experts, our enforcement team, and edge cases that you will review

• Work with safeguards product teams to identify and mitigate concerns, and collaborate on designing appropriate interventions for users across different age groups

• Advise on age assurance approaches and content classification frameworks in partnership with Enforcement, Product, Engineering, and Legal teams

• Educate and align internal stakeholders around our policies and our approach to safety in your focus area(s)

• Keep up to date with new and existing AI policy norms, regulatory requirements (e.g., age-appropriate design codes), and industry standards, and use these to inform our decision-making on policy areas

Requirements:

• As a researcher, subject matter expert, or trust & safety professional working in one or more of the following focus areas: child safety, youth online safety, age assurance, developmental science, content classification and rating systems, or adult content policy.

• Drafting or updating product and / or user policies, with the ability to effectively bridge technical and policy discussions

• Designing or implementing age-appropriate experiences, age assurance mechanisms, or content classification / labeling systems

• Working with generative AI products, including writing effective prompts for policy evaluations and classifier development

• Aligning product policy decisions between diverse sets of stakeholders, such as Product, Engineering, Public Policy, and Legal teams

• Understanding the challenges that exist in developing and implementing product policies at scale, including in the content moderation space

• Thinking creatively about the risks and benefits of new technologies, and leveraging data and research to inform policy recommendations

• Navigating and prioritizing work efforts amidst ambiguity

Salary:

$245,000-$285,000 USD

XML job scraping automation by YubHub

You will be a member of the user well-being team, with an initial focus on standing up detection, review, and escalation workflows for this domain , from tuning classifiers and curating evaluation datasets through to managing external partnerships and real-world harm escalation pathways.

This position may later expand to include broader areas of user well-being enforcement. Safety is core to our mission, and you'll help shape policy enforcement so that our users can interact with and build on top of our products across all surfaces in a harmless, helpful, and honest way.

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. There is also an on-call responsibility across the Policy and Enforcement teams.

Responsibilities:

• Design and architect automated enforcement systems and review workflows for human exploitation and abuse, ensuring they scale effectively while maintaining high accuracy

• Partner with Product, Engineering, and Data Science teams to build and tune detection signals for human trafficking, sextortion, and image-based sexual abuse, and to develop custom mitigations for these sensitive policy areas

• Curate policy violation examples, maintain golden evaluation datasets, and track enforcement actions across both consumer and API surfaces

• Conduct deep-dive investigations into suspected exploitation activity , using SQL and other data analysis tools to surface threat patterns and bad-actor behavior in large datasets , then produce clear, well-sourced intelligence reports that inform detection strategy and surface policy gaps to the Safeguards policy design team

• Study trends internally and in the broader ecosystem , including evolving trafficking and sextortion tactics , to anticipate how AI systems could be misused for exploitation as capabilities advance

• Review and investigate flagged content to drive enforcement decisions and policy improvements, exercising careful judgment on the line between permitted adult content and exploitative material

• Build and maintain relationships with external intelligence partners , including hotlines, NGOs, and industry hash-sharing consortia , to inform our approach and enable appropriate real-world escalation

You may be a good fit if you have:

• 3+ years of experience in trust and safety, content moderation, counter-exploitation work, or a related field

• Subject matter expertise in one or more of: human trafficking, human exploitation and abuse, sextortion, image-based sexual abuse / non-consensual intimate imagery, or commercial sexual exploitation

• Experience building or operating detection and review workflows for sensitive content, at a platform, NGO, hotline, or similar organization

• Ability to use SQL, Python, and/or other data analysis tools to interact with large datasets and derive insights that support key decisions and recommendations

• Demonstrated ability to analyze complex situations and make well-reasoned decisions under pressure

• Sound judgment in distinguishing permitted content from exploitative content, and comfort working in areas where these lines require careful reasoning

• Strong attention to detail and ability to maintain accurate documentation

• Ability to collaborate with team members while navigating rapidly evolving priorities and workstreams

Preferred:

• Familiarity with the NGO and industry ecosystem working on these harms (for example, Polaris Project, Thorn, NCMEC, IWF, StopNCII, or industry hash-sharing initiatives)

• Experience conducting open-source investigations or threat actor profiling in a trust & safety, intelligence, or law enforcement context

• Experience working with generative AI products, including writing effective prompts for content review and enforcement

• A deep interest in AI safety and responsible technology development

• Experience standing up real-world harm escalation pathways or working with law enforcement referral processes

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: $245,000-$285,000 USD

XML job scraping automation by YubHub

The team develops and enhances various AI models, ML services and tools including LLM fine-tuning and optimization, RAG/Search, LLM evaluation and testing automation, feedback-based learning and guardrail for a wide range of applications in Airbnb.

You will build and leverage cutting edge AI technologies to transform Airbnb’s customer service by delivering personalized, easy-to-use and proactive customer service experience.

A typical day involves envisioning, championing, and supporting the development of novel ML systems, product integrations, and performance optimizations to solve real-world problems.

Your expertise should include a PhD/Master’s degree, preferably in CS, or equivalent experience, and 5-12 years of ML engineering experience, with ownership responsibility over large-scale software systems.

Experience with LLM driven chatbot and Agentic AI products would be a big plus.

Excellent communication skills and the ability to work well within a team and with teams across the engineering, product & design organizations are also required.

Fluency in both English and Mandarin is essential.

XML job scraping automation by YubHub

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. There is also an on-call responsibility across the Policy and Enforcement teams.

Responsibilities:

• Own the end-to-end enforcement strategy against unauthorized frontier model abuse , from detection signal development through enforcement action and post-enforcement measurement
• Operationalize detection and review pipelines , translating leads from case investigations and detection outputs into structured review workflows that scale across surfaces
• Drive enforcement actions for high-priority actors , synthesizing signals from across intelligence, detection, and review into enforcement packages suitable for formal escalation
• Partner with Legal and Policy to assess case strength, characterize ToS and IP violations, and support enforcement escalations through formal channels
• Close the loop between enforcement outcomes and upstream improvements , channeling review results and enforcement findings back to policy updates and detection refinements
• Develop and maintain a dynamic enforcement framework that accounts for the complexity of cross-surface enforcement , including varied escalation paths, partner coordination, and enforcement consistency across surfaces
• Collaborate with Threat Intelligence, Research, Engineering, and Policy partners to ensure detection coverage keeps pace with evolving frontier abuse tactics
• Maintain rigorous documentation of enforcement decisions, pipeline logic, and precedents to build institutional knowledge

Qualifications:

• 5+ years of experience in trust & safety, abuse enforcement, fraud investigation, policy, or a related field , with demonstrated ownership of complex, high-stakes enforcement programs
• Track record of building detection and enforcement approaches for novel or emerging abuse vectors where established playbooks don't exist
• Experience supporting or directly contributing to formal enforcement actions , including case documentation, evidence packaging, and escalation coordination
• Strong data analysis skills , comfortable navigating complex, multi-table datasets to surface behavioral patterns and support investigations
• Experience conducting structured investigations, including open-source intelligence techniques and cross-referencing external data sources to attribute activity
• Demonstrated ability to translate ambiguous policy questions into defensible enforcement decisions and clear written findings
• Strong written and verbal communication skills , able to present complex enforcement cases clearly to stakeholders across Legal, Policy, and Engineering

Preferred qualifications include familiarity with the AI/ML ecosystem, experience conducting threat actor profiling or open-source investigations, and experience working with generative AI products.

XML job scraping automation by YubHub

You will be a member of the user well-being team, and your initial focus will be on standing up detection, review, and escalation workflows for this domain , from tuning classifiers and curating evaluation datasets through to managing external partnerships and real-world harm escalation pathways.

This position may later expand to include broader areas of user well-being enforcement. Safety is core to our mission, and you'll help shape policy enforcement so that our users can interact with and build on top of our products across all surfaces in a harmless, helpful, and honest way.

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. There is also an on-call responsibility across the Policy and Enforcement teams.

Responsibilities:

• Design and architect automated enforcement systems and review workflows for human exploitation and abuse, ensuring they scale effectively while maintaining high accuracy

• Partner with Product, Engineering, and Data Science teams to build and tune detection signals for human trafficking, sextortion, and image-based sexual abuse, and to develop custom mitigations for these sensitive policy areas

• Curate policy violation examples, maintain golden evaluation datasets, and track enforcement actions across both consumer and API surfaces

• Conduct deep-dive investigations into suspected exploitation activity , using SQL and other data analysis tools to surface threat patterns and bad-actor behavior in large datasets , then produce clear, well-sourced intelligence reports that inform detection strategy and surface policy gaps to the Safeguards policy design team

• Study trends internally and in the broader ecosystem , including evolving trafficking and sextortion tactics , to anticipate how AI systems could be misused for exploitation as capabilities advance

• Review and investigate flagged content to drive enforcement decisions and policy improvements, exercising careful judgment on the line between permitted adult content and exploitative material

• Build and maintain relationships with external intelligence partners , including hotlines, NGOs, and industry hash-sharing consortia , to inform our approach and enable appropriate real-world escalation

Requirements:

• 3+ years of experience in trust and safety, content moderation, counter-exploitation work, or a related field

• Subject matter expertise in one or more of: human trafficking, human exploitation and abuse, sextortion, image-based sexual abuse / non-consensual intimate imagery, or commercial sexual exploitation

• Experience building or operating detection and review workflows for sensitive content, at a platform, NGO, hotline, or similar organization

• Ability to use SQL, Python, and/or other data analysis tools to interact with large datasets and derive insights that support key decisions and recommendations

• Demonstrated ability to analyze complex situations and make well-reasoned decisions under pressure

• Sound judgment in distinguishing permitted content from exploitative content, and comfort working in areas where these lines require careful reasoning

• Strong attention to detail and ability to maintain accurate documentation

• Ability to collaborate with team members while navigating rapidly evolving priorities and workstreams

Preferred Qualifications:

• Familiarity with the NGO and industry ecosystem working on these harms (for example, Polaris Project, Thorn, NCMEC, IWF, StopNCII, or industry hash-sharing initiatives)

• Experience conducting open-source investigations or threat actor profiling in a trust & safety, intelligence, or law enforcement context

• Experience working with generative AI products, including writing effective prompts for content review and enforcement

• A deep interest in AI safety and responsible technology development

• Experience standing up real-world harm escalation pathways or working with law enforcement referral processes

Compensation:

The annual compensation range for this role is $245,000-$285,000 USD.

XML job scraping automation by YubHub

You will tackle novel legal questions at the intersection of developer tooling, enterprise readiness, and cloud-partner distribution, and help establish the terms, policies, and frameworks that let developers build safely on Claude.

Responsibilities:

Partner with Platform PM, API Engineering, Cloud Partnerships, and Commercial Legal to provide pragmatic legal guidance across the API, developer ecosystem, and cloud-distribution product lifecycle

Draft and negotiate developer-facing terms (API ToS, acceptable-use policies, developer agreements), cloud-partner distribution terms, and enterprise order-form exhibits, collaborating with Commercial Legal on co-sell mechanics

Advise on API product features, tiered-access programs (TAP/ZDR), KYC/IDV requirements, and Cowork enterprise-readiness initiatives, balancing velocity with legal and contractual compliance

Support incident response and escalations related to API misuse, developer policy violations, and cloud-partner compliance issues

You may be a good fit if you have:

A JD from an accredited law school and active membership in at least one U.S. state bar

At least 8 years of relevant legal experience, with meaningful experience in API/platform, cloud-marketplace, or tech-transactions work, either in-house at a technology company or at a law firm with a strong technology practice

Working knowledge of legal frameworks relevant to developer platforms and B2B AI products, such as data-processing agreements, API/developer terms, cloud-distribution licensing, and emerging AI governance frameworks

Strong technical fluency across cloud computing, APIs, and software development, with ability to quickly grasp AI/ML infrastructure concepts

Experience thriving in fast-paced environments, with comfort navigating ambiguity and pivoting quickly as priorities shift

A proactive 'doer' mindset with ability to identify problems, propose solutions, and execute with minimal supervision

Used AI tools to scale your legal practice or a strong interest in learning to do so

Exceptional communication skills to translate complex legal concepts for non-lawyer audiences

Empathy and strong service orientation, with the ability to listen actively and help achieve organisational goals

Strong candidates may have:

In-house platform or API counsel experience at a cloud/SaaS company

Experience structuring developer terms, marketplace licensing, or enterprise data-processing agreements

Experience with cloud-marketplace distribution (e.g., AWS Marketplace / Bedrock, GCP / Vertex, Azure) or developer-platform go-to-market, including order-form mechanics and co-sell structures

Application Deadline: 4pm PT on May 4, 2026. Applications will be reviewed after the deadline, and our hiring team plans to begin contacting potential candidates shortly after. We encourage all interested and qualified applicants to submit their materials before this date to ensure full consideration.

Role-specific policy: For this role, we expect all staff to be able to work from our San Francisco or New York office at least 3 days a week, though we encourage you to apply even if you might need some flexibility for an interim period of time.

The annual compensation range for this role is listed below.

For sales roles, the range provided is the role's On Target Earnings ('OTE') range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.

Annual Salary:

$265,000-$320,000 USD

XML job scraping automation by YubHub

At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life.

We are a global company with teams distributed between France, USA, UK, Germany, and Singapore. We are a team of developers, designers, and researchers passionate about AI and its potential to transform society.

Role Summary

We are seeking a passionate and skilled Senior Frontend Engineer to join our growing team. In this role, you will have the unique opportunity to work on our complete range of products, contributing to its development and enhancement. Your work will directly impact the user experience, making it more engaging, efficient, and intuitive.

Responsibilities

• Full Stack Development: Design, develop, and maintain scalable and robust features, ensuring seamless integration between front-end and back-end systems using a modern stack.

• User-Centric Design: Prioritize user experience and ensure that our products meet the needs and expectations of our user base.

• Code Quality: Write clean, maintainable, and well-documented code, and participate in code reviews to uphold our high standards of quality.

• Collaboration: Work closely with cross-functional teams, including product managers, designers, and other engineers, to deliver high-quality software solutions.

• Problem-Solving: Tackle complex technical challenges and develop elegant, efficient solutions that improve performance and reliability.

• Innovation: Stay up-to-date with the latest technologies and trends in AI and software development, and apply them to enhance our products.

About You

• Proficient in TypeScript and NodeJS with a preference for experience in B2C contexts.

• Experience in a Front-end framework like React, NextJS, Remix, VueJS.

• Knowledge of web libraries like Tanstack React Query, tRPC, Framer Motion, …

• Comfortable shipping products end-to-end.

• Strong problem-solving abilities and attention to detail.

• Excellent communication.

• Low Ego and team spirit mindset.

• Autonomous and self-starter.

Now it would be ideal if you have experience with:

• AI Products, particularly with LLMs.

• Python.

• Distributed Systems.

• Monitoring/Alerting.

• UX development (Figma).

Hiring Process

• Introduction call - 45 min.

• Hiring Manager interview - 30 min.

• Technical Rounds - Live-coding Interview (TypeScript) - 45 min - System Design Interview - 45 min - Optional: Deep Dive Interview - 60 min.

• Culture-fit discussion - 30 min.

• References.

Additional Information

Location & Remote

This role is based in one of our European offices (Paris, France and London, UK). We will only consider candidates who either reside or are open to relocating there. We strongly believe in the value of in-person collaboration and we encourage going to the office as much as we can (at least 3 days per week) to create bonds and smooth communication.

Our remote policy aims to provide flexibility, improve work-life balance and increase productivity.

What we offer

• Competitive salary and equity (stock-options).

• Health insurance.

• Transportation allowance.

• Sport allowance.

• Meal vouchers.

• Private pension plan.

• Generous parental leave policy.

• Visa sponsorship.

XML job scraping automation by YubHub

About the Role:

As an Applied Research Engineer, you will be the bridge between research, industry, and application shaping the future of our core natural language processing systems. You will be responsible for enabling agentic capabilities across the Hebbia product suite. You will own experiments and POCs focused on combining the latest research findings with specific high-value problems that our customers encounter each and every day.

Responsibilities:

• Focused on LLMs, you will play a crucial role in analyzing and interpreting complex data types to derive and implement cutting-edge insight generation systems.
• Iterate and explore new LLM and NLP techniques maintaining our foothold as an industry leader.
• You will utilize your expertise in statistics, programming, and machine learning to develop and deploy data-driven models and algorithms.
• Your work will contribute to solving business problems, improving processes, and enhancing the overall performance of the company.
• Collaborate with cross-functional teams to improve NLP/LLM capabilities in app.
• Stay up-to-date with the latest advancements and research in the space.
• Collaborate with software engineers to integrate agentic capabilities into existing systems or develop new applications.
• Ensure that systems are efficient, maintainable, and well-monitored.
• Iterate on validation and testing frameworks.

Requirements:

• Bachelor's degree in Computer Science, Engineering, or related field.
• Master's degree in Computer Science, Mathematics, Machine Learning, or a related field is a plus.
• 7+ years software development experience at a venture-backed startup or top technology firm, with a focus on applied machine learning systems.
• Strong programming skills in Python.
• Experience with NLP and text processing libraries such as NLTK, SpaCy, or Apache Tika.
• Experience with Search and Indexing technologies.
• Proficient in machine learning techniques and algorithms.
• Experience working with foundational models and corresponding APIs.
• Knowledge of statistical analysis and data scraping techniques.
• Prior experience in developing NLP models and systems.
• Experience with prompting and building LLM applications and agents is a plus.

Benefits:

• Experience building agentic systems or LLM-enabled products.
• Frequent user of AI products, especially during the development lifecycle (i.e., Cursor, Claude Code, etc).

Compensation:

The salary range for this role is $160,000 to $300,000. This range may be inclusive of several career levels at Hebbia and will be narrowed during the interview process based on the candidate's experience and qualifications. Adjustments outside of this range may be considered for candidates whose qualifications significantly differ from those outlined in the job description.

XML job scraping automation by YubHub

The AI platform for investors and bankers that generates alpha and drives upside.

Founded in 2020 by George Sivulka and backed by Peter Thiel and Andreessen Horowitz, Hebbia powers investment decisions for BlackRock, KKR, Carlyle, Centerview, and 40% of the world’s largest asset managers. Our flagship product, Matrix, delivers industry-leading accuracy, speed, and transparency in AI-driven analysis. It is trusted to help manage over $30 trillion in assets globally.

We deliver the intelligence that gives finance professionals a definitive edge. Our AI uncovers signals no human could see, surfaces hidden opportunities, and accelerates decisions with unmatched speed and conviction. We do not just streamline workflows. We transform how capital is deployed, how risk is managed, and how value is created across markets.

Hebbia is not a tool. Hebbia is the competitive advantage that drives performance, alpha, and market leadership.

The Team

The Document Intelligence team at Hebbia builds cutting-edge AI solutions that transform how users discover and interact with billions of private and public documents. Our products, including the Hebbia’s Browse application, enable intelligent document exploration, powerful search capabilities, and deep insights extraction. We focus on developing advanced data ingestion and search technologies that deliver intuitive, explainable, and highly responsive experiences. Working closely with customers, our team continuously iterates to address real-world challenges and drive impactful, data-driven decisions. Our goal is to empower users by seamlessly turning vast and complex document repositories into actionable intelligence.

The Role

Platform engineering at Hebbia is about excellent, scalable enablement. You are responsible for the core distributed systems that power billions of tokens across millions of dollars of AUM. You will be responsible for deploying efficient systems and building software tightly coupled with state-of-the-art infrastructure/system design. Hebbia’s edge is built on operating on the edge of the tokenomics curve and you will serve as a key contributor in this area. We value engineers who think on their feet, innovate and can solve for exponential scale.

Responsibilities

• Own critical system components: Take complex requirements and turn them into robust, scaled solutions that solve real customer needs.
• Unlock O(1) universal indexing: Build and iterate on our high-scale document build system that enables constant time latency for indexing any content in the world, regardless of data volume.
• Drive performance optimization: Architect and implement performance-tuning solutions to ensure our systems operate efficiently at scale, minimizing latency and maximizing throughput across millions of documents.
• Mentor and guide: Provide technical leadership, mentorship, and guidance to junior engineers, fostering a culture of learning and growth.

Who You Are

• Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field. A strong academic background with coursework in data structures, algorithms, and software development is preferred.
• 5+ years software development experience at a venture-backed startup or top technology firm, with a focus on distributed systems and platform engineering.
• Proficiency in building backend and distributed systems using technologies such as Python, Java, or Go.
• Deep understanding of scalable system design, performance optimization, and resilience engineering.
• Extensive experience with cloud platforms (e.g., AWS).
• Working experience with one or more of the following: Kafka, ElasticSearch, PostgreSQL, and/or Redis.
• Knowledge of workflow orchestration and execution platforms like Airflow, Temporal or Prefect.
• Proven experience enabling observability patterns.
• Ability to analyze complex problems, propose innovative solutions, and effectively communicate technical concepts to both technical and non-technical stakeholders.
• Proven experience in leading software development projects and collaborating with cross-functional teams. Strong interpersonal and communication skills to foster a collaborative and inclusive work environment.
• Enthusiasm for continuous learning and professional growth. A passion for exploring new technologies, frameworks, and software development methodologies.
• Autonomous and excited about taking ownership over major initiatives.

Bonuses:

• Experience building distributed systems leveraging technologies such as etcd or Apache Zookeeper.
• Frequent user of AI products, especially during the development lifecycle (i.e. Cursor, Claude Code, etc).

Compensation

The salary range for this role is $160,000 to $300,000. This range may be inclusive of several career levels at Hebbia and will be narrowed during the interview process based on the candidate’s experience and qualifications. Adjustments outside of this range may be considered for candidates whose qualifications significantly differ from those outlined in the job description.

Life @ Hebbia

• PTO: Unlimited
• Insurance: Medical + Dental + Vision + 401K
• Eats: Catered lunch daily + doordash dinner credit if you ever need to stay late
• Parental leave policy: 3 months non-birthing parent, 4 months for birthing parent
• Fertility benefits: $15k lifetime benefit
• New hire equity grant: competitive equity package with unmatched upside potential

XML job scraping automation by YubHub

• Own critical system components: Take complex requirements and turn them into robust, scaled solutions that solve real customer needs.
• Unlock O(1) universal indexing: Build and iterate on our high-scale document build system that enables constant time latency for indexing any content in the world, regardless of data volume.
• Drive performance optimization: Architect and implement performance-tuning solutions to ensure our systems operate efficiently at scale, minimizing latency and maximizing throughput across millions of documents.
• Mentor and guide: Provide technical leadership, mentorship, and guidance to junior engineers, fostering a culture of learning and growth.

To succeed in this role, you will need:

• Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field.
• 5+ years software development experience at a venture-backed startup or top technology firm, with a focus on backend software engineering.
• Proficiency in building backend and API systems using technologies such as Python, Java, or Go.
• Extensive experience with cloud platforms (e.g., AWS).
• Working experience with one or more of the following: Kafka, ElasticSearch, PostgreSQL, and/or Redis.
• Ability to analyze complex problems, propose innovative solutions, and effectively communicate technical concepts to both technical and non-technical stakeholders.
• Proven experience in leading software development projects and collaborating with cross-functional teams.
• Strong interpersonal and communication skills to foster a collaborative and inclusive work environment.
• Enthusiasm for continuous learning and professional growth. A passion for exploring new technologies, frameworks, and software development methodologies.
• Embraces rapid prototyping with an emphasis on user feedback.
• Autonomous and excited about taking ownership over major initiatives.

As a bonus, experience building agentic systems or LLM-enabled products, frequent use of AI products, especially during the development lifecycle, will be highly valued.

The salary range for this role is $160,000 to $300,000. This range may be inclusive of several career levels at Hebbia and will be narrowed during the interview process based on the candidate's experience and qualifications.

At Hebbia, we offer a range of benefits, including:

• Unlimited PTO
• Medical, dental, and vision insurance
• 401K plan
• Catered lunch daily
• DoorDash dinner credit if you ever need to stay late
• 3 months non-birthing parent leave, 4 months for birthing parent
• $15k lifetime fertility benefit
• Competitive equity package with unmatched upside potential

XML job scraping automation by YubHub

As a Chemist in the Responsible Development & Innovation (ReDI) team at Google DeepMind, you will be a principal architect of the safety protocols governing the intersection of Large Language Models (LLMs) and the chemical sciences. You will design and execute rigorous safety evaluations and inform mitigation strategies that ensure our frontier models accelerate scientific discovery without compromising global security.

This role is pivotal in deciding when and how our most advanced AI systems are released to the world.

You will apply your knowledge of chemistry to devise evaluation methodologies (e.g. red-teaming, knowledge elicitation studies, etc.) and contribute to building and running these evaluations on new models. You will analyse the results from evaluations, communicate them clearly to advise and inform decision-makers on the safety of our AI systems, and use them to refine our harm frameworks and inform our mitigation strategies.

In this role, you will work closely with other Subject-Matter Experts (SMEs) in the chemical, biological, radiological and nuclear domains, Research Engineers and Research Scientists focused on developing AI systems, as well as experts in AI ethics and policy.

Key Responsibilities:

• Architect of Safety Evaluations: Build rigorous, scalable frameworks to evaluate model proficiency in overcoming key bottlenecks in CWA precursor acquisition, chemical synthesis, and weaponisation.
• Strategic Advisory: Analyse evaluation results to brief executive decision-makers on model safety, directly influencing deployment 'Go/No-Go' decisions.
• Harm Framework Innovation: Refine our internal safety taxonomies to account for emergent risks at the intersection of general AI and specialist models like AlphaFold.
• Collaborative Mitigation: Partner with Research Engineers to revise mitigation strategies and refine harm frameworks for identified chemical risks. Work with other SMEs in the chemical, biological, radiological, nuclear, and conventional explosive domains to build a unified defence against CBRNE-related risks.
• External Engagement: Stay abreast of global chemical security trends and international non-proliferation policy through engagement with external international, governmental, and non-governmental organisations.

About You:

You are a seasoned scientist who bridges the gap between laboratory chemistry and emerging technology. You are motivated by the challenge of defending complex systems and possess the critical mindset required to anticipate non-obvious misuse scenarios.

Minimum Qualifications:

• Chemistry Expertise: PhD in synthetic organic chemistry with at least two years post-doctoral or equivalent experience.
• Publication Record: Proven experience publishing as a first author in high-impact general science or chemistry-specific journals, and presenting work at international chemistry conferences. Classified or internal reporting experience will be considered in lieu of public records for candidates from roles in national security.
• Security Domain Expertise: Comprehensive understanding of the Chemical Weapons Convention (CWC) and other national and international CWA agreements/treaties, chemical defence protocols, and the landscape of dual-use research in the chemical domain.
• Systems Thinking: The ability to translate high-level chemical risks into technical requirements for AI safety.
• Communication Excellence: A proven ability in distilling complex technical findings into clear, actionable advice for non-specialist stakeholders.

Preferred Experience:

• Knowledge of CWA defence, including synthesis, detection, and countermeasures.
• Direct experience with CBRNE mitigation, non-proliferation, or relevant international security stakeholders.
• Familiarity with the machine learning lifecycle and AI Safety Frameworks.
• Experience using and/or developing computational chemistry tools (e.g., AlphaFold, retrosynthesis engines, etc.).
• Working knowledge of the Frontier Safety Framework (FSF), Critical Capability Levels (CCLs), and similar documents published by other leading AI labs.
• Understanding of Google DeepMind AI research output (e.g., AlphaFold, GNoME, WeatherNext, etc.), and AI products (e.g., Gemini, Nano Banana, Genie, etc.).
• Passion for the ethical deployment of frontier technologies and AI policy.

XML job scraping automation by YubHub

We are seeking passionate and talented Fullstack Engineers to join our growing Mistral Vibe team and help shape the future of AI-powered coding. With the recent launch of Devstral 2 (our next-gen coding model) and Mistral Vibe (our open-source CLI for end-to-end code automation), this role offers a unique chance to build and refine our AI-driven developer tools. Your work will directly influence how users interact with our products — making them faster, smarter, and more intuitive.

Responsibilities

• Full Stack Development: Design, develop, and maintain scalable and robust features, ensuring seamless integration between front-end and back-end systems • User-Centric Design: Prioritize user experience and ensure that our products meet the needs and expectations of our user base • Code Quality: Write clean, maintainable, and well-documented code, and participate in code reviews to uphold our high quality standards • Collaboration: Work closely with cross-functional teams, including product managers, designers, and other engineers, to deliver high-quality software solutions • Problem-Solving: Tackle complex technical challenges and develop elegant, efficient solutions that improve performance and reliability • Innovation: Stay up-to-date with the latest technologies and trends in AI and software development, and apply them to enhance our products

About You

• Degree in Computer Science, Software Engineering, or equivalent practical experience • Proficiency in Python • Comfortable shipping products end-to-end • Strong problem-solving abilities and attention to detail • Excellent communication • Low Ego and team spirit mindset • Autonomous and self-starter

Now it would be ideal if you have experience with:

• AI Products, particularly with LLMs • Distributed Systems • Monitoring/Alerting • JavaScript/TypeScript, UX development (Figma)

Hiring Process

• Introduction call - 30 min • Technical rounds--- Live-coding interview - 45 min--- System Design interview - 45 min--- Project Deep Dive Interview (only for leads & staff engineers) - 60 min • Hiring Manager interview - 30 min • Culture-fit discussion - 30 min • Reference checks

XML job scraping automation by YubHub

Responsibilities:

• Full Stack Development: Design, develop, and maintain scalable and robust features, ensuring seamless integration between front-end and back-end systems using a modern stack.
• User-Centric Design: Prioritize user experience and ensure that our products meet the needs and expectations of our user base.
• Code Quality: Write clean, maintainable, and well-documented code, and participate in code reviews to uphold our high standards of quality.
• Collaboration: Work closely with cross-functional teams, including product managers, designers, and other engineers, to deliver high-quality software solutions.
• Problem-Solving: Tackle complex technical challenges and develop elegant, efficient solutions that improve performance and reliability.
• Innovation: Stay up-to-date with the latest technologies and trends in AI and software development, and apply them to enhance our products.

About you:

• Proficient in TypeScript and NodeJS with a preference for experience in B2C contexts.
• Experience in a Front-end framework like React, NextJS, Remix, VueJS
• Knowledge of web libraries like Tanstack React Query, tRPC, Framer Motion, …
• Comfortable shipping products end-to-end
• Strong problem-solving abilities and attention to detail
• Excellent communication
• Low Ego and team spirit mindset
• Autonomous and self-starter

Now it would be ideal if you have experience with:

• AI Products, particularly with LLMs
• Python
• Distributed Systems
• Monitoring/Alerting
• UX development (Figma)

XML job scraping automation by YubHub

Responsibilities:

• Understand no code automation concepts and CI/CD pipelines for Cloud Deployments
• Develop no code automation / Logic Apps (Lambda Functions/ Azure functions)
• Understand programming languages such as Python, JavaScript, bash, powershell, C#
• Managing code repositories and performing peer code reviews
• Ability to maintain the code hygiene and writing test cases for the solutions
• Assist with proof of concepts for strategic and enterprise customers
• Work side-by-side with our technical account managers to design, build, and deploy complex integrations for our customers
• Establish partnerships and strategic relationships with contacts at our biggest brands
• Time management is critical and should be able to manage multiple tasks/projects simultaneously
• Analyze and audit existing Helpshift implementations for the purpose of making improvements
• Become an expert at using Helpshift’s administrative tools which include a suite of AI products, bots, and other mission-critical support functions
• Work collaboratively with Account Managers, Technical Account Managers, Customer Success Managers, and Sales to ensure customers’ overall success with the product
• Collaborate with project managers to ensure sprint planning is completed on time and project deliverables are trackable in JIRA
• Continually optimize the overall implementation processes with improvements to documentation, trainings, demos and other customer-facing content

Requirements:

• You have a minimum of 4 years of SaaS experience in a specialization such as consulting services, technical pre-sales or technical project management
• You are proficient with any of: Python, Go, C#, Node.js, Powershell
• You are proficient with deploying cloud solutions on AWS or Azure (preferred)
• You are familiar with technical SaaS concepts such as SDKs, APIs and cloud computing
• You are exceptionally organized and a project manager at heart
• You value performing tasks as efficiently as possible and you dislike seeing mistakes repeated
• You have excellent communication skills and are comfortable leading meetings with customer executives and analysts alike
• You are proficient in the entire G-Suite and can perform data analysis tasks including generating pivot tables and writing complex formulas in Sheets/Excel
• You are curious about complex systems and a natural problem solver
• Bonus points for previous experience in a support role or call centre Benefits:
• Hybrid setup
• Worker's insurance
• Paid Time Offs
• Other employee benefits to be discussed by our Talent Acquisition team in Pune Helpshift embraces diversity. We are proud to be an equal opportunity workplace and do not discriminate on the basis of sex, race, color, age, sexual orientation, gender identity, religion, national origin, citizenship, marital status, veteran status, or disability status

XML job scraping automation by YubHub

You'll work across the entire lifecycle of features from early prototypes to production-grade systems and help define how millions of users interact with AI.

Responsibilities

LLM Feature & Agent Development

Design and ship LLM-powered assistant features, including conversational flows, agentic behaviors, retrieval pipelines, and multimodal interactions.

Build prompt architectures, system instructions, and orchestration logic that ensure reliability, grounding, and personality consistency.

Prototype new capabilities rapidly and iterate based on user signals and evaluation data.

Evaluation, Hillclimbing & Quality Systems

Build and maintain evaluation frameworks for correctness, safety, grounding, and UX quality.

Run hillclimbing loops across prompts, models, and tool-use strategies to continuously improve assistant performance.

Analyse failure modes, design mitigations, and drive systematic improvements across the stack.

LLM Tooling & Internal Infrastructure

Develop internal tools for prompt experimentation, model comparison telemetry, and debugging automated eval pipelines.

Create reusable frameworks that accelerate the entire AI org's ability to ship high-quality assistant features.

Applied ML & Product Integration

Integrate LLMs with product surfaces, APIs, and backend systems.

Build lightweight ML components (ranking, classification, summarization, personalization) that enhance assistant intelligence.

Collaborate with PM, design, and research to turn ambiguous ideas into polished user experiences.

High-Velocity Teamwork

Operate with startup-founder energy: bias for action, rapid iteration, and comfort with ambiguity.

Work closely with researchers, engineers, and product leaders in a fast-moving AI team where ideas ship quickly and impact is immediate.

Contribute to a culture of experimentation, clarity, and high-quality execution.

Qualifications

Required/minimum qualifications

Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.

Preferred Qualifications

Master's Degree AND 3+ years of experience in engineering, problem solving, model building, evaluation, data analysis OR equivalent experience.

2+ years shipping production-level code, models, or data analysis.

1+ years using AI-assisted coding and analysis techniques.

Experience working on small teams and mid-stage startup environments.

Experience working on AI products.

PhD in engineering, applied math, statistics, or related analytical field.

4+ years shipping production-level code, models, or data analysis.

Deep experience building from zero-to-one.

Hands on work hillclimbing AI evaluations.

XML job scraping automation by YubHub

We are bringing Copilot and AI into a world class mobile browser to make it easier for users to search, read, decide, and act, while we work to lead in the emerging AI browser space.

At Microsoft Edge Mobile, we deliver a fast, secure, and reliable browser built on Chromium, and we are steadily making it smarter through thoughtful AI integration.

We are looking for a Product Manager who has a solid appetite for working close to the Chromium based platform and can pair product judgment with hands on, AI enabled ways of working to move quickly, learn faster than competitors, and deliver real user value.

Responsibilities

• Identify, define, and evolve product opportunities by combining user research, data, competitive insights, and ongoing feedback across areas such as search, reading, privacy, Copilot integration, and cross device continuity.

• Design and run experiments, interpret results, and guide investment decisions using both traditional analytics and AI assisted workflows.

• Leverage AI tools to monitor, interpret, and quickly react to user voices across app reviews, feedback, and other signals.

• Work closely with engineering and design partners to decide which capabilities should align with Chromium and where Edge should purposefully diverge, while shipping high quality features on a regular release cadence.

• Ensure smooth app release schedules and collaborate with business development and marketing teams on app store promotions and in product launches.

• Drive adoption and growth through in product experiences and clear communication of plans, results, and learnings to stakeholders and leadership.

Qualifications

• Bachelor’s Degree AND 2+ years experience in product/service/program management or software development or equivalent experience.

• Solid product mindset grounded in customer needs, business outcomes, and quality at scale.

• Ability to own ambiguous problems end to end, from framing and discovery through delivery, iteration, and learning.

• Comfort designing experiments, reading data, and using evidence to make and explain product decisions.

• Familiarity with working on large, technically complex products and navigating tradeoffs between platform capabilities and product differentiation.

• Ability to manage multiple work streams in a fast moving environment while maintaining focus on what matters most.

• Willingness to act with a bias toward action, using AI assisted tools and workflows to test ideas quickly and avoid long dependency chains.

• Ability to create clarity through concise written and verbal communication with engineering, design, test partners, and leadership.

• 2+ years of experience building user facing products.

• Demonstrated ability to deliver meaningful user value at scale.

• Experience working across engineering, design, data, and go to market partners.

• Ability to influence without authority and collaborate effectively across teams.

Preferred Qualifications

• Bachelor’s Degree AND 5+ years experience in product/service/program management or software development or equivalent experience.

• 4+ years of experience building user facing products.

• Experience working on consumer apps, mobile products, or platforms with large user bases.

• Familiarity with Chromium based browsers or browser platforms.

• Familiarity with experimentation, analytics, or growth loops.

• Experience working with LLM powered or agentic AI products.

• Hands on use of AI powered tools to improve product discovery, analysis, and execution.

XML job scraping automation by YubHub

You'll be a subject matter expert on copyright, privacy, and related issues pertaining to data used to develop frontier AI models, while also counselling on compute infrastructure considerations including data localisation and cross-border data flows. You may also support our Alignment, Frontier Red-Teaming, Policy, and Societal Impacts teams to ensure safe, responsible AI development.

The ideal candidate will have experience navigating complex legal challenges globally in a fast-moving technical environment, as well as translating legal requirements into creative and practical solutions for pioneering AI research and development.

Responsibilities:

• Advise Research teams on permissible data usage and partner with them on data sourcing strategy, maintaining and evolving our data acquisition frameworks, and supporting Research and Data Operations requests
• Counsel the Compute team on relevant legal considerations including data localisation requirements, cross-border data transfers, privacy implications, and copyright considerations for compute infrastructure, partnering with internal subject matter experts as needed
• Monitor regulatory developments related to AI training data and compute operations, adapting internal policies and practices proactively to ensure compliance across jurisdictions
• Translate data and model development implications between research teams and Legal & Policy stakeholders, serving as a bridge between technical and legal functions
• Engage with academics, industry groups, and other stakeholders to develop norms and best practices around data governance for AI development
• Support Anthropic's Alignment and Frontier Red-Teaming teams to advance their research on AI safety and model vulnerabilities, including advising on vendor engagements, external collaborations, and data usage

You may be a good fit if you have:

• A JD and active membership in at least one U.S. state bar (California preferred)
• At least 8 years of relevant legal experience, with meaningful experience advising on data localisation and cross-border data transfer frameworks, copyright, privacy, data, and related issues for technology companies or AI/ML products (in-house experience preferred)
• A creative, practical problem solver attitude with a passion and capacity for translating and applying legal requirements to technical concepts related to model development. You understand the importance of enabling innovation while developing responsibly and mitigating risks
• Experience advising on legal issues for AI products or services and academic research, with knowledge of the machine learning development lifecycle
• Excellent written communication skills, with the ability to draft clear policies, whitepapers, and other content. You enjoy engaging with stakeholders to evangelise best practices
• An understanding of how to achieve the right balance between the organisation's mission and goals, knowing when to be flexible and when to draw a hard line
• An enjoyment of wearing many hats in a fast-growing startup environment and are comfortable operating outside your areas of expertise and in uncharted legal territory
• A 'doer' mentality and are willing to roll up your sleeves to get things done. You're a team player who doesn't hesitate to jump in to solve difficult problems
• Exceptional communication and analytical skills, technical fluency, and ability to navigate ambiguous and uncharted legal territory
• A growth mindset and epistemic humility with a passion for AI's potential to positively impact the world and realistic assessment of its risks and limitations. Commitment to building trustworthy, ethical AI systems

Strong candidates may have:

• In-house or similar experience at a global law firm
• Experience counselling on compute infrastructure or cloud services legal issues
• Experience in a tech company or other fast-paced environment

Role-specific policy:

For this role, we expect all staff to be able to work from our San Francisco or New York office at least 3 days a week, though we encourage you to apply even if you might need some flexibility for an interim period of time.

The annual compensation range for this role is listed below.

For sales roles, the range provided is the role's On Target Earnings ('OTE') range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.

Annual Salary:

$265,000 - $320,000 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. 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 in the job description. We are looking for talented individuals who are passionate about AI and want to join a team that is working to make a positive impact on the world.

XML job scraping automation by YubHub

As Regional Director of Enterprise Sales for the Northeast at Cursor, you'll build and lead a team of Enterprise Account Executives driving revenue growth across a portfolio of large engineering organisations in the region. You'll be a hands-on leader — coaching your team through complex enterprise sales cycles, building the processes and playbooks that scale our go-to-market motion, and serving as a senior voice for the enterprise customer inside Cursor.

This is an early and foundational sales leadership role. You'll help define what great enterprise sales looks like at Cursor, working closely with GTM, Product, and Engineering to land and expand Cursor across the world's most sophisticated software teams — based out of our New York office.

What you'll do

• Hire, develop, and coach a high-performing team of Enterprise Account Executives across the Northeast to meet and exceed regional revenue targets

• Build and execute a Northeast sales strategy, owning pipeline generation, forecast accuracy, and overall territory performance

• Get into deals — support your team on complex, high-stakes opportunities by engaging directly with engineering leaders, CTOs, and executive stakeholders across the region.

• Drive operational rigor: maintain accurate forecasting, pipeline inspection, and CRM hygiene across the team

• Partner with Enablement to accelerate AE ramp time and build training programs tailored to Cursor's enterprise sales motion

• Work closely with Product and Field Engineering to shape how we position and demonstrate Cursor to engineering organisations at scale

• Gather and synthesise customer and market feedback to inform product direction and go-to-market strategy

• Build the playbooks, processes, and institutional knowledge that will scale Cursor's enterprise sales organisation as we grow

You may be a fit if

• You have 10+ years of enterprise sales experience and 3+ years leading high-performing AE teams, ideally selling developer tools, technical SaaS, or AI products

• You're based in the New York area and have an established network across the Northeast enterprise technology market

• You have a track record of building teams from the ground up and developing AEs into top performers

• You're a hands-on leader who stays close to deals — you coach through live opportunities, not just pipeline reviews

• You bring strong operational discipline: you know how to run a forecast, inspect a pipeline, and build repeatable sales processes

• You're technically fluent enough to hold credible conversations with senior engineers and CTOs about how Cursor fits into how software gets built

• You thrive in an early-stage environment and are excited to build the systems and culture of a sales organisation, not just manage one

• You care deeply about AI and believe that transforming how software is written is one of the most important problems to work on right now

XML job scraping automation by YubHub

We are hiring a Sales Development Manager in New York to build and scale a next-generation sales development program at Cursor. This won’t be a traditional SDR team focused on dialing through lists. Instead, this leader will design and run a modern program centered on demand interception, PLG signals, and creative automation experiments in close partnership with Growth and RevOps.

You’ll be responsible for building and scaling a high-velocity team of Account Associates who operate with a builder’s mindset. This team will launch new outbound automation plays, capture and act on signals from our self-serve funnel, and develop repeatable playbooks to convert lower-tier paid users into long-term, high-value customers. Most importantly, you’ll do this while standing up a scalable outbound motion to consistently break into strategic enterprise accounts and drive meaningful evaluations of Cursor.

This is a foundational leadership role for someone who thrives in ambiguity, loves experimenting with new go-to-market tactics, and is passionate about redefining what sales development can look like.

What You’ll Do

• Build and lead a high-performing Account Associate team focused on experimentation and growth

• Partner closely with Growth and RevOps to design, launch, and iterate on automation experiments (e.g., LinkedIn outreach, event-based triggers, in-product signals)

• Define a playbook for demand interception and signal-based selling, rather than traditional cold outbound

• Recruit and coach Account Associate candidates with high slope and curiosity, fostering an inclusive and innovative culture

• Develop operational rigor: build feedback loops, define “what good looks like,” and translate learnings into clear activity metrics

• Ensure Account Associates are trained to handle brief discovery calls and guide customers through early product value realization

• Collaborate cross-functionally with Sales, Marketing, and Product to identify and activate creative campaign ideas based on product usage signals

• Nurture a talent pipeline for sales and the rest of the business

What We’re Looking For:

• 3-4+ years of SDR management experience, ideally with prior AE closing experience, and a proven ability to design new motions and test unconventional or innovative go-to-market tactics.

• Strong operational mindset – ability to design experiments, track performance, and systematize learnings

• Comfort with ambiguity and excitement about breaking the traditional sales development mold

• Curiosity about AI and ability to translate technical product signals into GTM actions

• Experience coaching and developing early-career or career-switching talent; passion for hiring non-traditional profiles and building diverse teams

• Bonus: exposure to AI products, growth automation tools, or hybrid sales/growth roles

XML job scraping automation by YubHub

As Regional Director of Enterprise Sales for the Southwest at Cursor, you'll build and lead a team of Enterprise Account Executives driving revenue growth across a portfolio of large engineering organisations in the region. You'll be a hands-on leader — coaching your team through complex enterprise sales cycles, building the processes and playbooks that scale our go-to-market motion, and serving as a senior voice for the enterprise customer inside Cursor.

This is an early and foundational sales leadership role. You'll help define what great enterprise sales looks like at Cursor, working closely with GTM, Product, and Engineering to land and expand Cursor across the world's most sophisticated software teams. You'll be based in the Southwest and operate remotely, with regular travel to customers and your team across the region.

What you'll do

• Hire, develop, and coach a high-performing team of Enterprise Account Executives across the Southwest to meet and exceed regional revenue targets

• Build and execute a Southwest sales strategy, owning pipeline generation, forecast accuracy, and overall territory performance

• Get into deals — support your team on complex, high-stakes opportunities by engaging directly with engineering leaders, CTOs, and executive stakeholders across the region.

• Drive operational rigor: maintain accurate forecasting, pipeline inspection, and CRM hygiene across the team

• Partner with Enablement to accelerate AE ramp time and build training programs tailored to Cursor's enterprise sales motion

• Work closely with Product and Field Engineering to shape how we position and demonstrate Cursor to engineering organisations at scale

• Gather and synthesise customer and market feedback to inform product direction and go-to-market strategy

• Build the playbooks, processes, and institutional knowledge that will scale Cursor's enterprise sales organisation as we grow

You may be a fit if

• You have 10+ years of enterprise sales experience and 3+ years leading high-performing AE teams, ideally selling developer tools, technical SaaS, or AI products

• You're based in the Southwest and have an established network across the region's enterprise technology market

• You have a track record of building teams from the ground up and developing AEs into top performers

• You're a hands-on leader who stays close to deals — you coach through live opportunities, not just pipeline reviews

• You bring strong operational discipline: you know how to run a forecast, inspect a pipeline, and build repeatable sales processes

• You're technically fluent enough to hold credible conversations with senior engineers and CTOs about how Cursor fits into how software gets built

• You thrive in a remote, autonomous environment and are excited to build the systems and culture of a sales organisation, not just manage one

• You care deeply about AI and believe that transforming how software is written is one of the most important problems to work on right now

XML job scraping automation by YubHub

As Regional Director of Enterprise Sales for the Central region at Cursor, you'll build and lead a team of Enterprise Account Executives driving revenue growth across a portfolio of large engineering organisations in the region. You'll be a hands-on leader — coaching your team through complex enterprise sales cycles, building the processes and playbooks that scale our go-to-market motion, and serving as a senior voice for the enterprise customer inside Cursor.

This is an early and foundational sales leadership role. You'll help define what great enterprise sales looks like at Cursor, working closely with GTM, Product, and Engineering to land and expand Cursor across the world's most sophisticated software teams. You'll be based in the Central region and operate remotely, with regular travel to customers and your team across the region.

What you'll do

• Hire, develop, and coach a high-performing team of Enterprise Account Executives across the Central region to meet and exceed regional revenue targets

• Build and execute a Central region sales strategy, owning pipeline generation, forecast accuracy, and overall territory performance

• Get into deals — support your team on complex, high-stakes opportunities by engaging directly with engineering leaders, CTOs, and executive stakeholders across the region

• Drive operational rigor: maintain accurate forecasting, pipeline inspection, and CRM hygiene across the team

• Partner with Enablement to accelerate AE ramp time and build training programs tailored to Cursor's enterprise sales motion

• Work closely with Product and Field Engineering to shape how we position and demonstrate Cursor to engineering organisations at scale

• Gather and synthesise customer and market feedback to inform product direction and go-to-market strategy

• Build the playbooks, processes, and institutional knowledge that will scale Cursor's enterprise sales organisation as we grow

You may be a fit if

• You have 10+ years of enterprise sales experience and 3+ years leading high-performing AE teams, ideally selling developer tools, technical SaaS, or AI products

• You're based in the Central region and have an established network across the region's enterprise technology market

• You have a track record of building teams from the ground up and developing AEs into top performers

• You're a hands-on leader who stays close to deals — you coach through live opportunities, not just pipeline reviews

• You bring strong operational discipline: you know how to run a forecast, inspect a pipeline, and build repeatable sales processes

• You're technically fluent enough to hold credible conversations with senior engineers and CTOs about how Cursor fits into how software gets built

• You thrive in a remote, autonomous environment and are excited to build the systems and culture of a sales organisation, not just manage one

• You care deeply about AI and believe that transforming how software is written is one of the most important problems to work on right now

XML job scraping automation by YubHub

As Regional Director of Enterprise Sales for the Southeast at Cursor, you'll build and lead a team of Enterprise Account Executives driving revenue growth across a portfolio of large engineering organisations in the region. You'll be a hands-on leader — coaching your team through complex enterprise sales cycles, building the processes and playbooks that scale our go-to-market motion, and serving as a senior voice for the enterprise customer inside Cursor.

This is an early and foundational sales leadership role. You'll help define what great enterprise sales looks like at Cursor, working closely with GTM, Product, and Engineering to land and expand Cursor across the world's most sophisticated software teams. You'll be based in the Southeast and operate remotely, with regular travel to customers and your team across the region.

What you'll do

• Hire, develop, and coach a high-performing team of Enterprise Account Executives across the Southeast to meet and exceed regional revenue targets

• Build and execute a Southeast sales strategy, owning pipeline generation, forecast accuracy, and overall territory performance

• Get into deals — support your team on complex, high-stakes opportunities by engaging directly with engineering leaders, CTOs, and executive stakeholders across the region.

• Drive operational rigor: maintain accurate forecasting, pipeline inspection, and CRM hygiene across the team

• Partner with Enablement to accelerate AE ramp time and build training programs tailored to Cursor's enterprise sales motion

• Work closely with Product and Field Engineering to shape how we position and demonstrate Cursor to engineering organisations at scale

• Gather and synthesise customer and market feedback to inform product direction and go-to-market strategy

• Build the playbooks, processes, and institutional knowledge that will scale Cursor's enterprise sales organisation as we grow

You may be a fit if

• You have 10+ years of enterprise sales experience and 3+ years leading high-performing AE teams, ideally selling developer tools, technical SaaS, or AI products

• You're based in the Southeast and have an established network across the region's enterprise technology market

• You have a track record of building teams from the ground up and developing AEs into top performers

• You're a hands-on leader who stays close to deals — you coach through live opportunities, not just pipeline reviews

• You bring strong operational discipline: you know how to run a forecast, inspect a pipeline, and build repeatable sales processes

• You're technically fluent enough to hold credible conversations with senior engineers and CTOs about how Cursor fits into how software gets built

• You thrive in a remote, autonomous environment and are excited to build the systems and culture of a sales organisation, not just manage one

• You care deeply about AI and believe that transforming how software is written is one of the most important problems to work on right now

XML job scraping automation by YubHub

As Regional Director of Enterprise Sales for the Northwest at Cursor, you'll build and lead a team of Enterprise Account Executives driving revenue growth across a portfolio of large engineering organisations in the region. You'll be a hands-on leader — coaching your team through complex enterprise sales cycles, building the processes and playbooks that scale our go-to-market motion, and serving as a senior voice for the enterprise customer inside Cursor.

This is an early and foundational sales leadership role. You'll help define what great enterprise sales looks like at Cursor, working closely with GTM, Product, and Engineering to land and expand Cursor across the world's most sophisticated software teams — based out of our San Francisco office.

What you'll do

• Hire, develop, and coach a high-performing team of Enterprise Account Executives across the Northwest to meet and exceed regional revenue targets

• Build and execute a Northwest sales strategy, owning pipeline generation, forecast accuracy, and overall territory performance

• Get into deals — support your team on complex, high-stakes opportunities by engaging directly with engineering leaders, CTOs, and executive stakeholders across the region.

• Drive operational rigor: maintain accurate forecasting, pipeline inspection, and CRM hygiene across the team

• Partner with Enablement to accelerate AE ramp time and build training programs tailored to Cursor's enterprise sales motion

• Work closely with Product and Field Engineering to shape how we position and demonstrate Cursor to engineering organisations at scale

• Gather and synthesise customer and market feedback to inform product direction and go-to-market strategy

• Build the playbooks, processes, and institutional knowledge that will scale Cursor's enterprise sales organisation as we grow

You may be a fit if

• You have 10+ years of enterprise sales experience and 3+ years leading high-performing AE teams, ideally selling developer tools, technical SaaS, or AI products

• You're based in the San Francisco Bay Area and have an established network across the Northwest enterprise technology market

• You have a track record of building teams from the ground up and developing AEs into top performers

• You're a hands-on leader who stays close to deals — you coach through live opportunities, not just pipeline reviews

• You bring strong operational discipline: you know how to run a forecast, inspect a pipeline, and build repeatable sales processes

• You're technically fluent enough to hold credible conversations with senior engineers and CTOs about how Cursor fits into how software gets built

• You thrive in an early-stage environment and are excited to build the systems and culture of a sales organisation, not just manage one

• You care deeply about AI and believe that transforming how software is written is one of the most important problems to work on right now

XML job scraping automation by YubHub

Location

San Francisco

Employment Type

Full time

Department

Marketing

Compensation

• $284K – $415K

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 mission is to ensure the responsible and widespread adoption of artificial intelligence. In support of that mission, the Marketing team helps deeply understand customer audiences and market dynamics, influence the development of the right products, build sustainable and customer-aligned monetization models, and drive awareness, adoption, and usage across OpenAI’s products and platform.

We take a data-driven approach to understand markets, develop monetization strategies, and uncover customer needs that shape product strategy and messaging. We partner closely with Sales, Partnerships, Product, Engineering, Research, Comms, and Design to deliver a cohesive end-to-end customer experience and lead go-to-market efforts for new product launches across channels.

About the role

We’re looking for a Monetization Product Marketer, Advertising to help shape and scale our advertising products and go-to-market strategy. You’ll combine strategy, market and customer insight with strong product intuition to guide roadmap priorities, mitigate product risks, and deliver launches and coordinate go-to-markets that drive adoption and measurable business impact. This role is ideal for someone who thrives in ambiguity, enjoys turning complex technical capabilities into clear customer value, and can lead cross-functional work in a fast-moving environment.

In this role you will:

• Lead market assessment and customer discovery to identify advertiser needs, market trends, and competitive dynamics

• Translate insights into clear product requirements, positioning, and go-to-market plans in close partnership with Product and Engineering

• Partner with Design, Data Science, and Analytics to define success metrics, measurement strategy, and experimentation plans

• Identify product risk areas (e.g., performance, safety, policy, trust) and drive cross-functional plans to mitigate them

• Own launch strategy and execution for new and improved advertising products, including messaging, enablement, and rollouts

• Build narratives and materials that explain value simply (e.g., positioning, sales decks, one-pagers, FAQs, internal comms)

• Lead the go-to-market strategy and coordination to drive product adoptions and sales in coordination with Sales, Partnerships and Product (Including client communications, product documentation, and positioning)

• Coordinate across stakeholders to keep workstreams aligned, remove blockers, and deliver outcomes on time

• Continuously evaluate and improve existing experiences to drive retention, performance, and advertiser satisfaction

You might be a great fit if you…

• Have strong structured problem solving skills - taking ambiguous problems, breaking them down into answerable parts and then designing and managing a process to answer these questions and driving implementation

• Can connect advertiser needs to product strategy, and influence prioritization across Product/Engineering/Design

• Understand the advertising ecosystem: measurement, targeting/relevance, creative, auctions, and performance tradeoffs

• Have experience marketing products—especially advertising, marketing tech, platforms, or data/AI products

• Communicate clearly and persuasively—turning technical concepts into crisp customer value and differentiated positioning

• Are fluent in both qualitative and quantitative research (customer interviews, surveys, funnel analysis, experimentation)

• Thrive in fast-paced, ambiguous environments and can manage multiple concurrent projects with strong judgment

• Are highly collaborative, proactive, and comfortable leading cross-functional efforts without direct authority

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 artificial intelligence while also ensuring that AI is developed in a way that is safe and beneficial to society.

XML job scraping automation by YubHub

About the team

The Intelligence and Investigations team seeks to rapidly identify and mitigate abuse and strategic risks to ensure a safe online ecosystem. We are dedicated to identifying emerging abuse trends, analysing risks, and working with our internal and external partners to implement effective mitigation strategies to protect against misuse. Our efforts contribute to OpenAI's overarching goal of developing AI that benefits humanity.

About the role

We are looking for a data visualization analyst who can turn complex intelligence and forecast outputs into clear, interactive visual stories that shape how OpenAI manages risk. In this role, you build the dashboards, maps, and visual frameworks that leadership and partners rely on to understand where risks are emerging, how they evolve over time, and which mitigations matter most.

In this role, you will

Design and build dashboards and interactive visualizations that track:

• Emerging safety and abuse risks across products and geographies.

• Geopolitical developments that affect OpenAI's risk posture.

• Key abuse cases and incident trends using both structured and unstructured data.

Develop interactive risk views such as:

• Prioritization heat maps for safety and abuse scenarios.

• 'Emerging risks' boards with drill-downs for deep dives.

• Forecast views of risk trajectories, including scenario comparisons over time.

Partner with analysts and investigators to:

• Translate narrative intelligence, case studies, and OSINT into visual formats.

• Standardize how we visualize incidents, metrics, campaigns, and risk clusters.

• Iterate quickly on visual prototypes in response to ongoing investigations or emerging crises.

Collaborate with data science, Safety Systems, Integrity, Global Affairs, and Product teams to:

• Ingest and align data from multiple internal systems and external sources.

• Ensure visualizations are accurate, timely, and consistent with existing metrics and taxonomies.

• Build views that are directly usable in leadership reviews, safety councils, and partner briefings.

Establish and maintain a visual 'source of truth' for:

• Top strategic risk themes and their evolution over time.

• Cross-geography views (e.g., markets, supply chains, infrastructure) for safety and geopolitical risk.

• Key mitigations and owners linked to specific risk categories or regions.

• Create templates, style guides, and reusable components so that the team can rapidly produce consistent, high-quality visual materials (dashboards, one-pagers, workshop materials, and exec reviews).

You might thrive in this role if you

• Significant experience (typically 4+ years) in data visualization, business intelligence, or analytics, ideally in security, trust and safety, intelligence, risk, or policy environments.

• Demonstrated expertise with at least one major data visualization / BI stack (e.g., Tableau, Looker, Power BI, Mode, Superset, or equivalent), including building interactive visualizations and dashboards.

• Strong visual design skills and the ability to communicate complex information in a clear and concise manner.

• Excellent collaboration and communication skills, with the ability to work effectively with cross-functional teams.

• Strong problem-solving skills and the ability to adapt to changing priorities and deadlines.

• Experience with data storytelling and the ability to turn complex data into compelling narratives.

• Familiarity with OpenAI's products and services, or a strong desire to learn about them.

• A passion for using data to drive decision-making and improve outcomes.

• A commitment to delivering high-quality work and meeting deadlines.

• A willingness to learn and grow with the team and the company.

What we offer

• Competitive salary and benefits package.

• Opportunity to work with a talented and diverse team of professionals.

• Collaborative and dynamic work environment.

• Professional development opportunities and training.

• Flexible work arrangements and remote work options.

• Access to cutting-edge technology and tools.

• Recognition and rewards for outstanding performance.

• A fun and inclusive company culture.

How to apply

If you are a motivated and talented data visualization analyst looking for a new challenge, please submit your application, including your resume and a cover letter, to [insert contact information]. We look forward to hearing from you!

XML job scraping automation by YubHub

Microsoft are looking for a talented Member of Technical Staff, Senior Applied AI Engineer at their Mountain View office. This role sits at the heart of strategic decision-making, turning market data into actionable insights for a company that's revolutionising AI assistant and productivity capabilities. You'll work directly with leadership to shape the company's direction in the AI and productivity markets.

About the Role

We're hiring a Senior Applied AI Engineer to join a fast-moving, high-ownership team building next-generation AI assistant and productivity capabilities. This role blends LLM product engineering, evaluation science, hillclimbing, and internal tool building with the pace and creativity of a startup. You'll work across the entire lifecycle of features from early prototypes to production-grade systems and help define how millions of users interact with AI.

Accountabilities

• Design and ship LLM-powered assistant features, including conversational flows, agentic behaviors, retrieval pipelines, and multimodal interactions.
• Build prompt architectures, system instructions, and orchestration logic that ensure reliability, grounding, and personality consistency.
• Prototype new capabilities rapidly and iterate based on user signals and evaluation data.
• Build and maintain evaluation frameworks for correctness, safety, grounding, and UX quality.
• Run hillclimbing loops across prompts, models, and tool-use strategies to continuously improve assistant performance.

The Candidate we're looking for

Experience:

• 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python.

Technical skills:

• Experience working on AI products.
• 2+ years shipping production-level code, models, or data analysis.
• 1+ years using AI-assisted coding and analysis techniques.

Personal attributes:

• Operate with startup-founder energy: bias for action, rapid iteration, and comfort with ambiguity.

Benefits

• Data Science IC4 – The typical base pay range for this role across the U.S. is USD $119,800 – $234,700 per year.
• Certain roles may be eligible for benefits and other compensation.
• Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay

XML job scraping automation by YubHub

What you'll do

• Develop and own financial analysis for enterprise and consumer growth initiatives, ranging from topline projections down to unit economics for various growth channels
• Develop and own core financial models used for strategic enterprise GTM planning, including quota planning, cross-sell, up-sell, and other various sales and marketing initiatives

What you need

• At least 3+ years of GTM finance role at another rapidly growing company or direct investing experience (private equity, growth equity) covering enterprise SaaS
• At least 2 years of banking or consulting at top-tier firm

XML job scraping automation by YubHub