Location: San Francisco, CA | New York City, NY | Washington, DC
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
As an Enforcement Analyst, you will be responsible for reviewing content and executing enforcement actions across our products and services, with a focus on detecting and mitigating attempts to misuse Anthropic's AI systems for malicious cyber operations. Your initial focus will center on reviewing flagged activity related to cyberattacks, malware development, and offensive exploitation; however, this position may later expand to include broader areas of enforcement.
Safety is core to our mission, and you'll help uphold policy enforcement so that our users can safely interact with and build on top of our products in a harmless, helpful, and honest way.
Important context for this role: In this position you may be exposed to and engage with explicit content spanning a range of topics, including those of a violent, technical, or psychologically disturbing nature. This role may require responding to escalations during weekends and holidays.
Key responsibilities
Review flagged content and accounts to make accurate, well-documented enforcement decisions in line with our usage policies
Detect and mitigate potential misuse of AI systems to facilitate cyberattacks, malware creation, exploitation tooling, and related harmful cyber operations
Triage and escalate novel, ambiguous, or high-severity cases to appropriate stakeholders
Provide detailed feedback to the Safeguards policy design team on policy gaps surfaced through real enforcement scenarios
Partner with Engineering and Data Science teams by surfacing detection model errors and quality signals from review to improve precision and recall
Maintain high accuracy and consistency standards across review queues
Keep up to date with emerging AI policy enforcement best practices, threat actor tactics, and the evolving cyber threat landscape, using these to inform enforcement decisions
Minimum Qualifications
Experience in cybersecurity, including knowledge of offensive techniques, exploit development, malware analysis, or vulnerability research
Experience performing content review, abuse investigations, or policy enforcement at volume
Proficiency in SQL and/or Python for data analysis and threat detection
Experience identifying emerging risks and communicating findings to a diverse set of stakeholders, such as Product, Policy, Engineering, and Legal teams
Experience working with generative AI products, including writing effective prompts for content review and enforcement
Preferred qualifications
Experience in trust & safety, abuse investigations, cybersecurity investigations, or threat intelligence in a technology or AI company
Experience with large language models and an understanding of how AI technology could be misused for cyber operations
Experience operating within abuse monitoring programs or enforcement review systems
Understanding of the challenges involved in implementing product policies at scale, including in the content moderation space
Experience working with government agencies, regulated environments, or information sharing communities
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$285,000
—
$330,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: San Francisco, CA | New York City, NY | Washington, DC
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
As a Safeguards Analyst focusing on Integrity & Authenticity, you will be responsible for building and executing enforcement workflows for our products and services, with a focus on detecting and mitigating attempts to misuse Anthropic's AI systems for coordinated inauthentic behavior, election manipulation, and targeting, tracking, and surveillance of individuals.
Your work will span a broad and interconnected set of harm areas: AI-enabled influence operations and disinformation campaigns, the abuse of AI to interfere with electoral processes, and the use of AI systems to facilitate stalking, surveillance, profiling, and the targeting of individuals or groups. Safety is core to our mission, and you'll help shape policy enforcement so that our users can safely interact with and build on top of our products in a harmless, helpful, and honest way.
Important context for this role: In this position you may be exposed to and engage with explicit content spanning a range of topics, including those of a political, violent, or psychologically disturbing nature. This role may require responding to escalations during weekends and holidays, particularly around major electoral events.
Key responsibilities
Design and architect automated enforcement systems and review workflows that scale effectively while maintaining high accuracy
Partner with Engineering and Data Science teams to optimize detection models for policy violations and automated enforcement systems
Review flagged content to drive enforcement and policy improvements
Enforce usage policies with a focus on detecting and mitigating AI-enabled influence operations, coordinated inauthentic behavior, election interference, and targeting, tracking, or surveillance of individuals and groups
Support the Safeguards policy design team by providing detailed feedback on policy gaps based on real enforcement scenarios
Keep up to date with emerging AI policy enforcement best practices, evolving threat actor tactics, and the regulatory landscape around elections, privacy, and surveillance, using these to inform our decision-making and workflows
Minimum qualifications
Experience in trust & safety, policy enforcement, threat intelligence, or a closely related field with a focus on one or more of: influence operations, disinformation, coordinated inauthentic behavior, election integrity, or privacy and surveillance harms
Experience standing up and scaling policy enforcement or content review workflows
Proficiency in SQL and/or other data analysis tools to draw insights from large datasets
Experience identifying emerging risks and threat actors, and communicating findings to a diverse set of stakeholders, such as Product, Policy, Engineering, and Legal teams
Experience working with generative AI products, including writing effective prompts for content review and enforcement
Understanding of the challenges involved in implementing product policies at scale, including in the content moderation space
Preferred qualifications
Experience conducting cross-platform investigations into influence operations, coordinated inauthentic behavior, or disinformation campaigns
Familiarity with open-source intelligence (OSINT) techniques and tools used for threat actor tracking and network analysis
Working knowledge of privacy law, surveillance technology, or data broker ecosystems as they relate to targeting and tracking harms
Experience with large language models and an understanding of how AI technology could be misused to generate synthetic personas, fabricate quotes, or automate persuasion at scale
Familiarity with election security frameworks, campaign finance law, or electoral integrity standards in one or more jurisdictions
Experience navigating evolving regulatory landscapes relevant to this space (e.g., DSA, EU AI Act, FEC regulations, GDPR)
Experience working with election bodies, civil society organizations, or government agencies on integrity or disinformation-related issues
Proficiency in Python for data analysis and automation
Experience with dark web monitoring or tracking threat actors across surface, deep, and dark web environments
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$285,000
—
$330,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: San Francisco, CA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
Anthropic's Safeguards team is seeking a Red Team Engineer to help ensure the safety of our deployed AI systems and products. In this role, you'll take an adversarial approach to uncover vulnerabilities across our product ecosystem before they can be exploited by malicious actors. Your work will span from technical infrastructure vulnerabilities on our products to emergent risks from advanced AI capabilities.
While you'll bring best practices from traditional security approaches, the focus is on broader safety implications and novel abuse unique to advanced AI systems and associated products. You'll investigate the full spectrum of potential abuse — from coordinated account manipulation and payment fraud to novel exploitation of product features — and simulate sophisticated threat actors who chain multiple attack vectors to achieve their objectives.
Key responsibilities
Conduct comprehensive adversarial testing across Anthropic's product surfaces, developing creative attack scenarios that combine multiple exploitation techniques
Research and implement novel testing approaches for emerging capabilities, including agent systems, tool use, and new interaction paradigms
Design and execute "full kill chain" attacks that emulate real-world threat actors attempting to achieve specific malicious objectives
Build and maintain systematic testing methodologies that evaluate every aspect of our systems
Develop automated testing frameworks to enable continuous assessment at scale
Collaborate with Product, Engineering, and Policy teams to translate findings into concrete improvements
Help establish metrics for measuring detection effectiveness of novel abuse
Minimum qualifications
Experience in penetration testing, red teaming, or application security
Experience in model jailbreaking and testing large-scale agentic workflows for non-obvious prompt injection vectors
Strong technical skills in web application security, including hands-on expertise with security testing tools (e.g., Burp Suite, Metasploit, custom scripting frameworks)
Experience building custom automation, including LLM-specific testing frameworks
A track record of discovering novel attack vectors and chaining vulnerabilities in creative ways
A public body of work such as CVEs, blog posts, or disclosed bug bounty reports
Strong written and verbal communication skills, with the ability to explain technical concepts to varied audiences
Preferred qualifications
Experience with AI/ML security or adversarial machine learning
Understanding of AI safety considerations beyond traditional security, including modern guardrails against jailbreaks
Experience testing API security and rate-limiting systems
Background in testing business logic vulnerabilities and authorization bypass techniques
Background in anti-fraud, trust & safety, or abuse prevention systems
Familiarity with distributed systems and infrastructure security
Familiarity with abuse detection mechanisms and the ability to engineer novel bypasses
Adaptability to understand and build engagements around emerging threats outside your direct area of expertise
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$320,000
—
$405,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Tokyo, Japan
Workplace: Hybrid
Sensor Tower’s digital intelligence platform provides unparalleled insight into market trends, advertising, competitor’s strategies, and consumer/user audience across mobile, web, and gaming. Sensor Tower’s insights are trusted by more than 2,500 enterprises worldwide across tech, retail/commerce, entertainment/media, gaming, consumer packaged goods and finance.
As the Team Director, Account Management for Japan, you will play a pivotal role in driving the growth and success of Sensor Tower in the dynamic Japan market. You will be responsible for overseeing all aspects of our Account Management operations in Japan, including revenue expansion, client management, strategic planning, and team leadership. The ideal candidate is a seasoned professional with a strong background in sales, business development, and leadership, with a passion for driving growth and delivering exceptional results.
Key Responsibilities:
- Manage a team of Account Directors focusing on renewals, upsells, and Net Revenue Retention (NRR) growth.
- Communication of strategic plans to account teams, and oversee the implementation and execution of those plans.
- Interface with and supports Sensor Tower Account Directors, Sales, Finance, Marketing, Operations and Executive teams.
- Identify and resolve issues/problems encountered by our customers acting as an Executive Sponsor on high profile or Strategic account
- Conducting regular Business Reviews to ensure our plan is aligned with customer business objectives and strategies.
- Design and maintain reports used in sales analysis.
- Conduct C-level discussions with clients to strategize and address their use cases with our platform.
- Bridge the gap between product teams and customers, effectively managing expectations on feature requests and releases.
- Identify product penetration, renewal, and upsell opportunities within your customer base.
- Deliver training, analytics, insights, and best practices to Account Director teams under your management
Experience we are looking for:
- 8+ years of experience in Key Account Management, selling complex solutions.
- 3+ years experience managing sales teams that support enterprise & strategic accounts.
- Proven track record of success in sales, business development, and leadership roles, preferably in the SaaS or technology industry.
- Demonstrated ability to lead and inspire teams, drive performance, and foster a culture of collaboration and accountability.
- Highly organized with the ability to track and coordinate a wide series of tasks.
- Deep understanding of the Japanese market, including cultural nuances, business practices, and regulatory environment. Fluent in both English and Japanese (written and spoken).
Fraud warning:
It's common for scammers to create positions that look legitimate on other sites. To ensure your submission is considered, only apply for positions at Sensor Tower through our company website or through posts directly associated with Sensor Tower company profiles on sites such as LinkedIn, Indeed, BuiltIn or Hackajob. At no point will Sensor Tower ever ask for money, credit card, or bank account information to complete a job application. Communications received from Sensor Tower are only sent by e-mail addresses ending in sensortower.com http://sensortower.com. All Sensor Tower interviews will be conducted via phone or Zoom. At no time will a conversation be moved to an alternative email outside of sensortower.com http://sensortower.com or text. Should an issue arise that you feel we should be aware of, please contact us. Please provide your resume when applying.
To all recruitment agencies:
Sensor Tower does not accept third party resumes. Please do not send resumes to our jobs alias, Sensor Tower employees or any other organization location. Sensor Tower is not responsible for any fees related to unsolicited resumes. Sensor Tower will not pay any third-party agency or company that does not have a signed agreement with Sensor Tower.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Location: Palo Alto; New York; San Francisco
Workplace: Hybrid
ABOUT MISTRAL
Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms.
We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited.
The Role
Mistral AI is seeking a Applied AI Engineer to facilitate the adoption of its products among customers and collaborate with them to address complex technical challenges.
The Applied AI Engineer will be an integral part of our Applied AI Engineering team, which is dedicated to driving the successful deployment of Mistral AI products. They will work hand-in-hand with customers from the pre-sale stage to post-implementation, ensuring our solutions meet and exceed client expectations.
In this role, you’ll manage daily customer relations involving multiple stakeholders (CEO/CTO, data scientists, and software engineers) and function as a key resource in externalising our research in production settings.
What You Will Do
• You’ll be responsible for onboarding customers on our products and APIs, providing guidance on prompting, evaluation, and fine-tuning, and ensuring the best production integration with back-end and front-end interfaces.
• You’ll work on state-of-the-art GenAI applications from consumer products to industrial use cases, driving with our customers a crucial technological transformation.
• You’ll individually help deploy into production use cases with a considerable business impact across various industries.
• You’ll work in collaboration with our researchers, other AI engineers, product engineers on our most complex customer projects involving complex fine-tuning, state-of-the-art LLM applications, and contributing to our open source codebases for tasks such as inference and fine-tuning.
• You’ll be involved in pre-sales calls to understand potential clients' needs, challenges, and aspirations. You will provide technical guidance on our products and explain Mistral technologies to various stakeholders.
• Your collaboration with our product and science team to improve continuously our product and model capabilities based on customers’ feedback
What We're Looking For
• You are fluent in English
• You hold a PhD / master in AI / data science.
• You have 2+ years as a technical individual contributor (data scientist or software engineer) on AI-based products
• You have experience in Fine Tuning LLMs, tackling advanced RAG or agentic use cases
• You have deep understanding of concepts and algorithms underlying machine learning and LLMs
• You're experienced with building and deploying LLMs or NLP applications
• You have proven experience in AI or machine learning product implementation with APIs, back-end and front-end interfaces.
• You have strong technical coding skills in Python
• You have experience with deep learning with Pytorch
• You have experience with agents framework such as Langchain, vector DBs
• You hold strong communication skills with an ability to explain complex technical concepts in simple terms with technical and non-technical audiences
Ideally you have:
• Contributed to open-source projects in particular in the space of LLMs
• Experience as a Customer Engineer, Forward Deployed Engineer, Sales Engineer, Solutions Architect or Technical Product Manager
WHAT WE OFFER
We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks.
For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link.
PRIVACY POLICY
Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.
Location: Ciudad de México, Mexico
Workplace: on-site
The Communications Manager is responsible for bringing the NovaFin brand to life across
all owned and earned channels. This role ensures that the company's brand, voice, and
messaging are executed consistently and effectively throughout the customer journey, from
initial awareness through customer advocacy.
Working closely with senior leadership and future brand leadership, the Communications
Manager will oversee content creation, social media, public relations, creative production,
and brand governance. This is a highly execution-focused role responsible for turning brand
strategy into high-quality, market-facing communications that strengthen customer trust,
engagement, and brand recognition.
Brand Execution & Governance
Ensure consistent application of NovaFin's brand identity, voice, tone, and messaging across all customer-facing communications.
Maintain and update brand guidelines and communication standards.
Serve as the primary guardian of brand consistency across marketing, customer communications, product messaging, and sales support materials.
Review and provide guidance on materials developed by internal teams and external partners to ensure alignment with brand standards.
Content & Owned Channels
Own and manage NovaFin's organic social media presence, including content planning, copy development, publishing, and community engagement.
Oversee the company's blog, content hub, and other owned communication channels.
Develop content that supports brand awareness, customer education, trust-building, and engagement.
Maintain a consistent content calendar and publishing cadence across channels.
Public Relations & External Communications
Develop and manage media relations and external communication initiatives.
Prepare press releases, media kits, corporate announcements, and executive communications.
Coordinate spokesperson preparation and support media opportunities.
Monitor media coverage and ensure brand messaging is accurately represented.
Creative Production Management
Develop creative briefs and manage the production of marketing and communication assets.
Coordinate internal designers, agencies, freelancers, and production partners to ensure projects are delivered on time and on brand.
Review and approve creative output to ensure quality and consistency.
Vendor & Agency Management
Manage relationships with creative agencies, freelancers, public relations firms, and external production vendors.
Oversee project timelines, budgets, deliverables, and quality standards.
Evaluate vendor performance and identify opportunities for improvement.
Community Engagement & Brand Advocacy
Manage community interactions across owned social platforms.
Monitor customer feedback and identify opportunities to strengthen brand perception.
Support initiatives that encourage customer advocacy and positive brand engagement.
Reporting & Performance Monitoring
Track and report on content, social media, public relations, and brand engagement performance.
Monitor brand sentiment, media coverage, engagement metrics, and share of voice.
Provide recommendations to improve communication effectiveness and audience engagement.
Qualifications
Bachelor's degree in Communications, Marketing, Public Relations, Journalism, Business Administration, or a related field.
5–8 years of experience in communications, content marketing, public relations, social media management, or brand communications.
Experience managing agencies, freelancers, and creative production workflows.
Experience within fintech, financial services, consumer lending, or technology environments is preferred.
Strong understanding of content development, public relations, social media management, and brand governance.
Knowledge & Skills
Exceptional written and verbal communication skills in English and Spanish.
Strong editorial judgment and storytelling capabilities.
Experience developing and managing content calendars and communication plans.
Strong project management and organizational skills.
Ability to manage multiple stakeholders and competing priorities.
Experience coordinating creative production across internal and external resources.
Strong attention to detail and commitment to brand consistency.
Ability to thrive in a fast-paced, high-growth environment.
Location: New York
Workplace: Hybrid
ABOUT MISTRAL
Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms.
We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited.
THE ROLE
Mistral AI is seeking a Technical Lead, Applied AI to drive the technical strategy, execution, and delivery of complex AI solutions for our enterprise customers. In this role, you will lead a project teams of Applied AI Engineers, ensuring the successful deployment of Mistral AI products and the development of high-impact, scalable AI use cases.
You will act as the primary technical point of contact for our most strategic customers, guiding them through the entire lifecycle—from pre-sales to post-implementation—while collaborating closely with research, product, and engineering teams to shape the future of our offerings.
As a Technical Lead, you will bridge the gap between cutting-edge AI research and real-world enterprise applications, ensuring our solutions are robust, scalable, and aligned with both customer needs and Mistral’s technological vision.
WHAT YOU WILL DO
- Deliver as an IC the critical lines of codes of our complex projects, you’ll be hands-on and de-risk the critical parts of our complex projects. You’ll stay deeply involved in coding, reviewing, and optimizing AI solutions.
- Lead technical teams of Applied AI Engineers, providing mentorship, technical guidance, and best practices for deploying state-of-the-art GenAI applications across industries.
- Lead technical discussions during pre-sales, translating customer requirements into actionable solutions and communicating Mistral’s technological advantages to diverse stakeholders.
- Design and oversee the implementation of complex AI systems, including fine-tuning, RAG, agentic workflows, and custom LLM applications, ensuring alignment with Mistral’s product roadmap and open-source initiatives.
- Drive innovation by identifying emerging trends in AI, evaluating new tools and methodologies, and championing best practices for fine-tuning, inference, and deployment.
- Work closely with product managers, researchers, and engineers to ensure seamless integration of customer feedback into Mistral’s product development cycle.
WHAT WE'RE LOOKING FOR
- You hold a PhD or Master’s degree in AI, Machine Learning, Computer Science, or a related field.
- You have 7/8+ years of experience in AI/ML, with at least 2+ years in a technical leadership role (e.g., Tech Lead, Engineering Manager, or Solutions Architect) focused on AI products or enterprise solutions.
- You have a proven track record of leading teams to deliver complex AI projects, from prototyping to production, in industries such as tech, finance, healthcare, or industrial automation.
- You possess deep expertise in fine-tuning LLMs, advanced RAG, agentic systems, and deploying NLP applications at scale.
- You are proficient in Python, PyTorch, and modern AI frameworks (e.g., LangChain, Hugging Face). Experience with cloud platforms (AWS, GCP, Azure) and MLOps tools is a plus.
- You have strong software engineering skills, including API design, backend/full-stack development, and system architecture.
- You excel in technical communication, with the ability to articulate complex concepts to both technical and non-technical audiences, including executives and engineers.
- You thrive in fast-paced, collaborative environments and are passionate about mentoring and growing technical talent.
Ideally, you have:
- Contributed to open-source projects, particularly in the LLM or AI space.
- Experience in customer-facing roles (e.g., Solutions Architect, Customer Engineer, or Technical Product Manager) with a focus on enterprise AI adoption.
- A track record of driving technical strategy and influencing product direction based on customer needs and market opportunities.
Why join us? You’ll have the opportunity to shape the future of AI adoption in enterprises, work with a world-class team, and contribute to open-source projects that impact millions. If you’re excited about leading technical innovation and solving real-world challenges with AI, we’d love to hear from you!
WHAT WE OFFER
We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks.
For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link.
PRIVACY POLICY
Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.
Location: San Francisco, CA | New York City, NY | Seattle, WA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
The Fraud Prevention team protects Anthropic's payment and monetization surfaces from financial abuse — keeping fraud losses, dispute rates, and network monitoring exposure in check while preserving a smooth experience for legitimate customers. As a software engineer on this team, you will build the systems that make risk decisions in real time, manage the dispute and chargeback lifecycle, and detect monetization abuse across subscriptions, in-app purchases, and promotions. The ideal candidate can see things from attackers' perspectives, anticipate their responses to countermeasures, and never loses sight of the fact that a false positive here is a paying customer.
Payments fraud is more externally coupled than most trust and safety work — you'll collaborate closely with finance, support, and legal teams internally, and with payment processors and platform partners externally.
Responsibilities:
Design and build real-time risk decisioning that scores transactions at authorization time, balancing fraud loss, approval rates, and latency constraints
Build tooling and automation for the dispute and chargeback lifecycle, from review queues to evidence collection and loss reporting
Engineer fraud signals at scale — device fingerprinting, BIN and issuer signals, velocity features, and cross-account linkage — and detect monetization abuse across subscriptions, trials, promotions, and in-app purchases
Own a portfolio of metrics — loss rate, dispute rate, authorization approval impact, and false-positive rate — rather than optimizing any single number
Lead investigations into emerging fraud patterns, building multi-layered defenses designed for attacker adaptation rather than point-in-time rules
Work cross-functionally with finance, support, legal, and data science, and with external payment processors and platform partners
Minimum Qualifications:
Proficiency in Python, SQL, and data analysis tools
Experience building or operating fraud, risk, or abuse detection systems in production
Strong communication skills and ability to explain complex technical tradeoffs to non-technical stakeholders
Preferred Qualifications:
8+ years of industry software engineering experience, with a focus on payments fraud or risk
Fluency with payments rails: card networks, payment service providers (e.g., Stripe, Adyen), in-app purchase platforms (Apple, Google), refund flows, and the chargeback and dispute lifecycle
Direct experience combating fraud typologies such as card testing, stolen-card monetization, refund and chargeback abuse, subscription and trial abuse, promotional abuse, and friendly fraud
Understanding of fraud loss accounting — fraud loss vs. dispute fees vs. card network monitoring programs (e.g., VDMP, i VFMP, Mastercard ECP) — and why chargeback rate thresholds carry existential stakes
Experience building hybrid rules-and-ML risk systems: real-time scoring at authorization plus post-authorization review workflows
Experience at a marketplace or subscription business, or on a processor-side or issuer-side risk team
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$320,000
—
$485,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: San Francisco, CA • New York, NY • United States
Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us!
At Figma, our Solutions Consulting team bridges technical expertise with business context to help customers realize what’s possible with our platform. As a Solutions Consultant supporting Payload accounts, you’ll partner with Sales and cross-functional teams to craft and deliver consultative strategies that showcase Payload’s value within Figma. You’ll lead technical discussions, demos, and solution design to help customers achieve their goals and transform how they build products, playing a key role in driving revenue and growth as Figma continues to innovate.
This is a full time role that can be held from one of our US hubs or remotely in the United States.
What you’ll do at Figma:
Paint the vision of Payload within the Figma Platform and guide customers in realizing the value through product demonstrations and presentations
Support the Sales team by addressing Payload and Figma platform questions and showcasing how Payload accelerates digital product development to customers
Own the customer IT and Security relationship during the deal cycle by addressing security questionnaires and enterprise requirements, in order to help customers adopt the platform securely and at scale
Collaborate with Product and Support to identify opportunities for enhancing account security through new product features and help influence the product roadmap
Design and scale technical sales efforts, facilitating conversations and connections between our customers, sales and product teams
Deliver timely technical support to customers and agency partners building on Payload, ensuring smooth adoption and issue resolution
Collaborate with amazing Figmates to hone your craft and execute daily. We are looking for fantastic life-long learners who can operate with autonomy
We'd love to hear from you if you have:
4+ years in Sales Engineering or Solutions Consulting within a SaaS environment
Strong ability to position technology in a pre-sales capacity by defining success criteria, leading product evaluations, and guiding customers through technical decision-making
Excellent communication and presentation skills, with the ability to tailor product demonstrations and technical discussions for both technical and business audiences
Solid understanding of the enterprise SaaS ecosystem, frontend development, and modern developer workflows and lifecycles
Proven ability to quickly learn new technologies while effectively managing competing customer priorities and balancing business objectives
While not required, it’s an added plus if you also have:
Experience using or working with Payload, or other CMS/DXP experience
You embody our values and can thrive in a constantly evolving and growing environment
At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you’re excited about this role but your past experience doesn’t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.
Pay Transparency Disclosure
Job level and actual compensation will be decided based on factors including, but not limited to, individual qualifications objectively assessed during the interview process (including skills and prior relevant experience, potential impact, and scope of role), market demands, and specific work location.
Figma offers equity to employees, as well as a competitive package of additional benefits, including health, dental, and vision coverage; retirement benefits with company contributions; parental leave and reproductive or family planning support; mental health and wellness benefits; and paid time off. Figma provides paid sick leave, holidays, and other leave benefits in compliance with applicable federal, state, and local laws, including the requirements of the Washington Minimum Wage Act and related regulations. Exempt employees are eligible for employer‑provided paid flexible PTO in addition to flexible paid sick leave. PTO is subject to manager approval. Additional benefits may include company recharge days, cell phone and home internet reimbursements, and a number of lifestyle spending accounts. Figma also offers sales incentive compensation for most sales roles and an annual bonus plan for eligible non-sales roles. All compensation and benefits are subject to applicable plan terms and may be modified by Figma at any time, consistent with applicable law.
Annual Base Salary Range:
$152,800
—
$296,000 USD
At Figma we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Figma is an
equal opportunity workplace
- we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status
,
or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.
We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to
accommodations-ext@figma.com
. These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities.
Examples of accommodations include but are not limited to:
Holding interviews in an accessible location
Enabling closed captioning on video conferencing
Ensuring all written communication be compatible with screen readers
Changing the mode or format of interviews
To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates keep their cameras on during video interviews. Additionally, if hired you will be required to attend in person onboarding.
By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with
Figma's Candidate Privacy Notice
.
Application limits:
To help candidates focus on the opportunities most relevant to their skills and experience, Figma limits the number and frequency of applications. These limits apply to all roles:
Candidates may submit up to 5 applications during any rolling 30-day period.
Candidates may not reapply to the same role while an application is active or within 90 days of receiving a rejection.
Once the applicable days has passed, candidates are welcome to apply again.
Location: Remote-Friendly (Travel-Required) | San Francisco, CA | Seattle, WA | New York City, NY
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
Anthropic's Application Security team secures the systems that build, serve, and increasingly
are
Claude — and as Anthropic's footprint grows, that mandate now extends to companies and codebases we bring in from outside. This role establishes that function.
You'll own security due diligence and secure integration for Anthropic's acquisitions — assessing a target's security posture pre-close, writing the security risk readout for leadership, and after close, bringing acquired systems up to Anthropic's bar. Security has been part of every deal to date, but this is the first dedicated role for it: you'll formalize the playbook, the risk model, and the tooling, and make them repeatable.
This is an AppSec role first. You'll be an active member of the Application Security team — same rituals, same on-run rotation, same tooling, working alongside engineers securing Anthropic's own agentic product surfaces. The expectation is the same too: we use Claude as our primary tool, and you're expected to automate the repeatable parts of diligence and integration as you go, so each acquisition is easier than the last. When deal flow is quiet, you'll pick up core AppSec project work; when it's active, M&A is your priority.
We're upfront that the center of gravity here is M&A rather than core product security. It's burstier, more assessment-heavy, and operates on confidential, time-sensitive work. If you like parachuting into an unfamiliar codebase under time pressure and turning it into a clear risk picture for leadership, this is that job.
Key responsibilities
Lead pre-close security due diligence on prospective acquisitions — coordinate external penetration testing, threat-model the target's architecture, assess security controls, and deliver the security risk readout for leadership ahead of close and integration planning
Drive post-close security integration — stand up static and dynamic analysis coverage on acquired codebases, track high- and critical-severity remediation to closure, fold acquired assets into bug bounty scope, and onboard repositories to Anthropic's automated vulnerability remediation and reporting systems
Coordinate adjacent security engineering teams (supply chain, cloud, corporate security, detection & response) on their portions of each integration
Work across a wide set of stakeholders on every deal — corporate development, legal, security leadership, and the engineering teams inheriting acquired systems internally; engineering and security counterparts at the target company externally — translating between them and keeping the security workstream legible to all of them
Formalize and scale Anthropic's M&A security playbook — risk-scoring model, diligence runbook, integration checklist — and turn as much of it as possible into Claude-powered tooling rather than manual process
Share the team's operational on-run rotation (bug bounty escalations, launch consults, incident response), swapping out during periods of active deal work
Contribute to core AppSec projects between deals — secure design reviews, threat modeling for agentic systems, and the team's security automation roadmap
Minimum qualifications
Hands-on application and infrastructure security experience, including cloud and containerized environments
Demonstrated ability to rapidly assess an unfamiliar codebase or architecture and produce a clear, prioritized risk assessment for a non-security audience
Production-quality coding ability in at least one of Python, Go, Rust, or TypeScript
Practical threat-modeling and vulnerability-identification skills — you've found and reasoned about real bugs in real systems
Comfort operating with high autonomy, ambiguity, and tightly-held confidential context
Clear written and verbal communication across varied audiences — executives, legal and corporate development partners, and engineering counterparts at an acquired company
Preferred qualifications
7+ years in application security, security consulting, or security architecture
Prior M&A security due diligence, third-party security assessment, or technical due diligence experience
Experience standing up or scaling SAST/DAST, bug bounty, or vulnerability management coverage across multiple codebases
Track record of building security automation or tooling rather than relying solely on manual review
Familiarity with using LLMs as a core part of your security workflow
Experience securing agentic, code-execution, or LLM-integrated systems
Representative projects
Point Anthropic's internal LLM-driven code analysis and AI-assisted scanning at an acquired repository nobody here has seen, and turn the output into a prioritized remediation plan in days rather than weeks
Design the risk-scoring framework Anthropic uses to compare security posture across acquisitions of different shapes and sizes
Build the automation that onboards an acquired codebase to Anthropic's vulnerability dashboard, dependency auto-patching, and bounty scope without a human running a checklist
Write the security risk memo for a live deal and present it to corporate development and security leadership
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$320,000
—
$485,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Hamburg
adjoe is redefining the future of mobile ads. Powered by advanced AI, first-party data and world-class engineers, we’ve perfected the offerwall experience for monetizing and scaling app publishers with solutions like Playtime and Arcade – now the fastest growing rewarded advertising channel globally – driving incremental engagement, retention, and revenue.
At the same time, we’re breaking into programmatic advertising with the intelligent bidding system of adjoe Ads. Together, this ecosystem connects app developers to over 600 million users worldwide for scalable growth. Backed by a $100 million investment from Bertelsmann and operating from offices in Hamburg, Boston, Singapore, and Tokyo, adjoe is defining the next stages of app and ad experience – right now. Join us.
Where Adtech Innovation Becomes a Story Worth Telling
The Marketing team hosts the storytellers of adjoe’s innovation. We turn complex adtech solutions – rooted in data and strategy – into compelling stories that resonate across the mobile advertising industry and beyond. Through our events, visual design, and strategic content, we take adjoe’s vision at the intersection of technology, user engagement, and marketing and make it tangible. All while building a community of forward-thinking industry leaders around our brand.
Your Mission & Who We Are Looking For:
- Enterprise GTM Architecture: You will architect and execute our global, enterprise-ready go-to-market (GTM) strategy across the Americas, EMEA, and APAC. We need someone who has guided at least two previous Tech or SaaS companies through the lifecycle journey from Start-up to Scale-up and Maturity, specifically navigating scale within the $500M to $5B range.
- Lean, Multi-Disciplinary Leadership: You will direct and develop a high-performing, agile team of approximately 20 professionals across Growth Marketing, Product Marketing, Regional Marketing, Events, Content Writing, and Graphic Design. Instead of managing large, siloed departments, you will foster a culture of ownership and stay close to both the high-level strategy and the people executing it.
- Commercial & Product Alignment: You will bridge the gap between product innovation and commercial execution to ensure our positioning captures and retains high-value enterprise accounts. This means translating complex technical capabilities into clear, value-driven narratives that align global product strategy with commercial sales enablement.
- Global & Regional Collaboration: You will serve as a strategic partner to Product, Sales, and Regional Leadership to drive localized demand generation while maintaining consistent brand messaging. You must bring deep experience in B2B enterprise marketing, account-based marketing (ABM), and international localization across the Americas, EMEA, and APAC.
- US Ecosystem Expertise: You will optimize our positioning and distribution to generate enterprise demand by leveraging a strong familiarity with the American technology ecosystem and buyer psychology. Your understanding of enterprise SaaS and AdTech marketing playbooks will directly drive our up-market transformation.
- Data-Driven Brand Optimization: You will establish clear data frameworks to measure brand sentiment, pipeline contribution, and the ROI of global marketing initiatives. This requires an equal comfort level analyzing pipeline data, CAC, and LTV metrics as you have guiding brand positioning and creative storytelling.
🌎 We welcome applications from talent worldwide and provide relocation support to Hamburg, Germany for those ready to join our team.
What’s in It for You?
At adjoe, we are not just managing campaigns, we're helping build the business engine behind one of the fastest-growing adtech platforms in mobile. We are proactively curious: we question status quo, think outside the box, connect the dots. The partnerships you close, the strategies you execute, and the markets you develop will directly shape how adjoe scales globally.
- Go Big. Own commercial initiatives that move revenue and expand adjoe's market position.
- Move Fast. Operate in a high-velocity environment where decisions are made quickly and impact is visible immediately.
- Be Direct. Work in a culture where feedback is honest, collaboration is real, and politics are low.
- Thrive Together. Grow alongside a diverse, global team of 250+ people from over 40 countries across 7 offices.
- Have Fun. Celebrate wins, build lasting industry relationships, and bring your energy to a team that genuinely enjoys what they do.
We welcome applications from people who will contribute to the diversity of our company.
Location: Palo Alto; New York; San Francisco
Workplace: Hybrid
ABOUT MISTRAL
Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms.
We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited.
Role Summary
As an AI Deployment Strategist, you will drive the adoption and deployment of Mistral’s AI solutions, working closely with customers from strategic vision to production implementation. This role sits at the intersection of business strategy, AI innovation, and hands-on deployment, ensuring our customers achieve transformative outcomes.
You will partner with senior executives to design AI roadmaps, collaborate with the Applied AI team to deliver solutions in production, and ensure seamless transitions from presales to postsales. Your work will directly contribute to customer success, bridging the gap between strategy and execution.
This role is ideal for those who thrive in a fast-paced environment, enjoy solving complex business challenges, and are passionate about turning AI potential into real-world impact.
What you will do
Strategic Discovery & Vision Setting
• Lead executive-level workshops to identify business challenges and opportunities where Mistral’s AI can drive step-change improvements.
• Co-create AI adoption roadmaps with customers, articulating the “art of the possible” and a clear path to value.
• Collaborate with Account Executives to develop business cases, quantify ROI, and align solutions with customer objectives.
AI Solution Design & Deployment
• Architect end-to-end AI solutions, integrating Mistral’s models and platform into customer workflows and technical infrastructure.
• Partner with the Applied AI team to design, prototype, and deploy AI solutions in production, ensuring scalability and impact.
• Own the execution of pilot projects and proofs-of-value, demonstrating the potential of our technology and paving the way for full-scale deployment.
Value Realization & Customer Success
• Serve as a trusted advisor to customers, guiding their AI strategy and ensuring they maximize the value of their investment in Mistral.
• Monitor key performance indicators (KPIs) tied to business outcomes, and communicate progress to executive sponsors.
• Proactively identify expansion opportunities within accounts, building on initial successes to drive long-term partnerships.
Cross-Functional Collaboration
• Act as the bridge between customers and Mistral’s internal teams, synthesizing feedback to influence product and research roadmaps.
• Develop reusable assets, best practices, and playbooks to scale go-to-market efforts and ensure consistent delivery excellence.
• Travel (~30-60%) to foster deep client relationships and support on-site deployment.
About you
• 4+ years in a client-facing strategic and technical role (e.g., data science consulting, value engineering, or technical sales).
• You hold a degree in a relevant scientific field (e.g., Computer Science, Data Science, Engineering, etc.)
• Foundational knowledge of AI/ML/Data Science, with the credibility to advise both technical and non-technical audiences.
• Hands-on experience building and deploying AI applications (Python, JavaScript, or similar) to demonstrate value.
• Strong business acumen and problem-solving skills, with the ability to structure ambiguous challenges into actionable solutions.
• Executive presence and communication skills to influence senior stakeholders (VP, C-level).
• Hands on experience building and deploying AI applications (Python)
• Resilient, results-driven, and comfortable leading through influence in a collaborative environment.
• Experience with sales qualification frameworks (e.g., MEDDPICC) and value-based selling is a plus.
Why This Role Matters You will play a pivotal role in shaping how enterprises adopt and deploy AI, ensuring Mistral’s solutions deliver measurable impact. By partnering with the Applied AI team, you’ll help turn strategic visions into production-ready solutions, making Mistral an indispensable partner for our customers.
WHAT WE OFFER
We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks.
For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link.
PRIVACY POLICY
Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.
Location: Hybrid - San Francisco, New York City, Austin
About Vercel:
Vercel is the agentic infrastructure company, freeing people and agents to ship what's next. For more than a decade we've helped builders move from idea to production with speed, security, and exceptional developer experience.
Now we're scaling our products for both agents and people to ship and run software, built in the open and trusted by OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide.
About the role
We are looking for a Senior Technical Account Manager (TAM) to own the post-sales technical relationship for a portfolio of our largest enterprise customers, taking it over from the Solutions Architect (SA) at deal close. Your focus is continuity: customers renew the annual TAM engagement because their technical outcomes improve each year. This role requires travel to customer offices 4 to 8 times a year.
What you'll do
Own the post-sales technical relationship and the annual TAM renewal for a portfolio of enterprise accounts, running a weekly check-in, monthly review, quarterly business review (QBR), and annual roadmap workshop for each
Lead incident follow-through when an escalation or a pattern of incidents emerges: run the post-mortem, find the architectural root cause, own the remediation roadmap, and respond to priority 1 and 2 escalations within 4 business hours
Deliver proactive architectural reviews, technical risk mapping, cost and usage optimization, and pre-launch readiness assessments
Scope hands-on engineering work for Forward Deployed Engineers (FDEs) and audits for Professional Services, and track their outcomes into the customer's technical roadmap, without shipping production code yourself
Relay customer technical needs to Product, Engineering, and Support, and hold those teams to the commitments you have made to your customers
What you need
5+ years in customer-facing technical roles at a platform, infrastructure, or developer tools company, such as technical account management, solutions architecture, developer success engineering, or support engineering
Owned customer relationships at the $1M+ annual contract value (ACV) tier, including QBRs, roadmap workshops, and renewals
Architected, debugged, and optimized production systems on Next.js and Vercel, including App Router, incremental static regeneration (ISR) and caching, Fluid Compute, and the AI SDK
Led technical outcomes across Engineering, Product, and Support without formal authority, and written the incident summaries, post-mortems, and executive readouts that came out of them
Bonus if you
Carried a TAM portfolio at a hyperscaler, infrastructure platform, or developer tools company, such as AWS, Cloudflare, Datadog, or GitHub
Built AI agents with the Vercel AI SDK or Model Context Protocol (MCP) servers
Led cloud financial operations (FinOps) or cost-optimization engagements, or ran an annual roadmap workshop or Well-Architected Review for an enterprise customer
The San Francisco, CA base pay range for this role is $163,000-$204,000. Actual salary will be based on job-related skills, experience, and location. Compensation outside of San Francisco may be adjusted based on employee location. The total compensation package may include benefits, equity-based compensation, and eligibility for a company bonus or variable pay program depending on the role. Your recruiter can share more details during the hiring process.
Disclosures:
Privacy:
Please review our
Job Applicant Privacy Policy
for more information on how we handle your data.
Equal Opportunity:
Vercel is committed to fostering and empowering an inclusive community within our organization. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law. Vercel encourages everyone to apply for our available positions, even if they don't necessarily check every box on the job description.
Location: Paris
Workplace: Hybrid
ABOUT MISTRAL
Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms.
We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited.
THE ROLE
As a Product Manager on the Enterprise Controls team, you will empower enterprises with the tools and frameworks to govern their use of our AI Platform while ensuring compliance with internal policies and external regulations. Your scope will cover User Access & Identity Management (RBAC, SSO, SCIM), Framework Consistency (SDK, APIs), Audit & Compliance (SOC 2, GDPR, HIPAA, ISO 27001), and Platform Administration & Billing.
This role is critical as we’ve already secured contracts with industry leaders like ASML, CMA-CGM, and Stellantis—all of whom have rigorous IT requirements. Your work will be foundational in meeting these demands and driving the adoption of our platform at scale.
WHAT YOU WILL DO
- Set the vision for Enterprise Readiness by shaping and evangelizing a product strategy aligned with company goals and market opportunities.
- Identify gaps through market and UX research to uncover unmet needs, competitive whitespaces, and emerging trends in enterprise product management.
- Own the product lifecycle, driving development from ideation to launch and iteration, balancing speed, quality, and user satisfaction.
- Champion the user by partnering with design and research teams to create intuitive, high-impact experiences, refining them with data and feedback.
- Collaborate on go-to-market strategies with marketing and sales, including pricing, positioning, and adoption plans.
- Align stakeholders across engineering, design, and business teams around priorities, trade-offs, and timelines.
- Prioritize ruthlessly to maintain a dynamic roadmap that delivers quick wins while advancing long-term initiatives.
WHAT WE'RE LOOKING FOR
- 7+ years of Product Management experience in competitive, ambiguous environments, ideally with generative AI, LLMs, or ML-driven products.
- Technical acumen to understand trade-offs and partner effectively with engineering teams.
- User obsession with a relentless focus on solving real problems, supported by data and qualitative insights.
- Cross-functional influence to align and inspire teams without direct authority.
- Problem-solving skills that balance big-picture thinking with hands-on execution, from roadmap crafting to metrics analysis.
- Clear communication with persuasive storytelling for executives, teams, and users in docs, decks, or whiteboard sessions.
- Adaptability to thrive in dynamic settings where priorities shift quickly.
- Collaborative mindset with low ego and high EQ, building trust and driving decisions through clarity.
- Autonomy to navigate unknowns and own outcomes end-to-end.
- Growth mindset with deep familiarity in product-led growth strategies (e.g., viral loops, onboarding optimization, monetization).
- Builder’s mindset with founder or early-stage PM experience, turning 0→1 ideas into products users love.
- Technical depth to prototype, hack, or dive into code when needed.
WHAT WE OFFER
We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks.
For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link.
PRIVACY POLICY
Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.
Location: New York; Paris; London
ABOUT MISTRAL
Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms.
We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited.
About the Role
Mistral is seeking a Senior Product Marketing Manager, Industries to support verticalized go-to-market (GTM) initiatives. You will own the development and execution of industry-specific solutions marketing, enabling Mistral to scale and win in high-priority verticals such as manufacturing, finance, and more.
This role is ideal for a strategic thinker who excels at translating industry insights into actionable GTM content and campaigns. You will collaborate cross-functionally with Product, Sales, and Marketing teams to position Mistral as the leader in AI solutions for key industries.
Key Responsibilities
Industry Solutions Marketing
- Own Industries Marketing for high-priority verticals (e.g. manufacturing, finance), driving messaging, positioning, and GTM content.
- Develop and launch complete GTM collateral (pitch decks, sales enablement, blogs, web pages)
- Drive integrated campaigns to educate and engage target audiences, supporting demand generation and pipeline growth.
Cross-Functional Collaboration
- Partner with global Product, Forward Deployed Engineers (FDE's), Sales, and Marketing teams to design, activate, and refine industry-specific solutions.
- Channel market and customer feedback to shape product and GTM strategy.
Content & Enablement
- Create scalable, repeatable use cases and content (e.g., demos, case studies) to empower field teams.
- Act as a go-to partner for sales and FDE teams, ensuring consistent, compelling industry narratives.
Market & Competitive Intelligence
- Monitor industry trends and competitive dynamics to inform product and solutions planning.
- Identify and scale repeatable solutions content to accelerate deal cycles.
Who You Are
- 5+ years experience in industry solutions, product, or growth marketing, with experience in SaaS, AI, or enterprise technology.
- MBA or advanced degree in Marketing, Business, or related field preferred.
- Proven track record of launching industry-specific GTM strategies and content.
- Strong storytelling skills: ability to simplify complex technical value for diverse audiences.
- Collaborative leader with experience aligning cross-functional teams (Product, Sales, Marketing).
- Familiarity with global systems integrators (GSIs) and partner ecosystems is a plus.
- Self-starter who thrives in fast-paced, innovative environments.
WHAT WE OFFER
We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks.
For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link.
PRIVACY POLICY
Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.
Location: New York City Office
COMPANY DESCRIPTION
Today, when you go to your doctor and get referred to a specialist, your doctor sends out a referral and tells you, “They’ll be in touch soon.” So you wait. And wait. Sometimes days, weeks, or even months. Why? Because too often providers are overwhelmed with the painstakingly tedious work required to get paid by insurance companies. Powered by proprietary models, Tennr handles the complex paperwork that gets patients through the door and providers paid, helping operators get patients the right care, at the right time, in the right setting.
ROLE DESCRIPTION
We're hiring our first paralegal to join Tennr's legal team. You'll work directly with our two attorneys across the full range of legal work at a high-growth health-tech company, with a heavy emphasis on commercial contracts.
Today, our attorneys handle everything: drafting, negotiating, and reviewing customer and vendor agreements, building and maintaining compliance programs, advising product and business development teams, and managing corporate governance. We need someone who can manage the operational side of our legal function, take on contract drafting and review review, and help us build the internal resources and scalable processes that a high-growth company like us needs.
KEY RESPONSIBILITIES
You'll be embedded in the work from day one. You'll review and draft contracts, manage deal flow, maintain our contract repository, and create the templates, playbooks, and guides that help our internal teams work with Legal more effectively. As you build fluency in our business and contracts, you'll take on increasing responsibility for managing the contract lifecycle end to end, serving as a first point of contact for routine contracting matters and escalating to the attorneys as needed. A more detailed description of your anticipated responsibilities is below.
Contract Drafting, Contract Management, and Legal Operations
- Draft, review, and negotiate commercial contracts, including SaaS subscription agreements, order forms, BAAs, NDAs, vendor agreements, and partnership agreements
- Serve as the first point of escalation for routine contracting questions from Sales and Business Development, routing complex or novel issues to the attorneys
- Maintain and organize Tennr's contract repository across SpotDraft, DocuSign, and Salesforce, including managing contract workflows end-to-end and tracking active contract obligations.
- Support the procurement process and maintain visibility into vendor agreements and compliance requirements
- Assist with corporate governance tasks as needed, including maintaining corporate records and supporting board-related processes
Cross-Functional Enablement
- Develop and maintain internal legal resources: contract playbooks, FAQ documents, written guidelines for teams
- Create internal reference materials such as ambassador program documentation, product-specific walkthroughs, and compliance guides
- Attend or distill notes from cross-functional meetings to identify emerging legal needs and areas where teams could benefit from additional guidance or resources
- Support compliance tracking by helping build and maintain team-specific compliance calendars and audit documentation
Compliance Support
- Assist with compliance monitoring and documentation, helping to build and maintain records supporting Tennr's compliance programs, including HIPAA-related obligations
CANDIDATE QUALIFICATIONS
- 5+ years of experience as a paralegal, contracts specialist, or in a similar role within an in-house legal department or law firm, ideally supporting a technology or healthcare company
- Hands-on experience drafting, reviewing, and negotiating commercial contracts (SaaS, technology, or services agreements); you understand how provisions interact, not just how to check them against a list
- Strong organizational skills and the ability to manage multiple concurrent workstreams (active deal flow, repository maintenance, internal projects) with minimal supervision
- Excellent legal writing skills for both contract markup and clear, usable internal documents and guidelines
- Familiarity with contract lifecycle management tools (SpotDraft, Ironclad, Agiloft, or similar) or demonstrated ability to learn new systems quickly
- A proactive mindset: you notice when a recurring question should become a written resource, when a process could be improved, or when a team needs support before they ask for it
- Comfort working in a fast-paced, high-growth environment where priorities shift and the role will evolve
NICE TO HAVE
- Experience working in healthcare, health-tech, or a similarly regulated industry
- Familiarity with HIPAA, BAA requirements, or healthcare data privacy
- Experience with AI-assisted legal tools or contract review automation (e.g., building or configuring playbooks in AI-powered review platforms, designing automated intake or review workflows)
- Interest in or experience with process design and workflow automation for legal operations: building systems that reduce manual work and let a small team scale
- Experience building self-service legal resources, internal knowledge bases, or intake workflows
- Familiarity with Salesforce and DocuSign from an administrative or configuration perspective
WHY TENNR?
- Drive Impact: one of our company values is Cowboy, meaning you set the pace. You won’t just talk about things, you’ll get them done. And feel the impact.
- Develop Operational Expertise: learn the inner workings of scaling systems, tools, and infrastructure.
- Innovate with Purpose: we’re not just doing this for fun (although we do have a lot of fun). At Tennr, you’ll join a high-caliber team maniacally focused on reducing patient delays across the U.S. healthcare system.
- Build Relationships: collaborate and connect with like-minded, driven individuals in our Hudson Square office 4 days/week.
- Free lunch! Plus a pantry full of snacks.
BENEFITS
- Beautiful new office at 345 Hudson Street
- Unlimited PTO
- 100% paid employee health benefit options
- Employer funded 401(k) match
- Competitive parental leave
Location: Paris; Palo Alto; New York; San Francisco; London
ABOUT MISTRAL
Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms.
We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited.
THE ROLE
As Product Monetization & Pricing Lead, you will shape and execute pricing strategies for Mistral AI’s product suite. You will work across Product, Engineering, Sales and Finance to align our pricing with customer value and ensure our monetization supports both product‑led growth and enterprise deals. This role reports to the Head of Product Operations and is based in Paris with hybrid flexibility.
WHAT YOU WILL DO
- Design charge metrics and pricing tiers (usage, seats, subscriptions) for new and existing products.
- Build financial models, run A/B tests and analyse usage data to optimise pricing and packaging.
- Translate technical features and AI economics into clear value propositions and pricing narratives.
- Benchmark competitors and monitor market trends to keep our pricing competitive.
- Enable Sales, Marketing and Finance teams with pricing guidelines and training.
- Establish processes and dashboards to track revenue, margins and adoption.
WHAT WE'RE LOOKING FOR
- 8–10 years’ experience in GTM, product or strategy roles in deep‑tech or SaaS companies, with at least 5 years pricing experience
- Proven record designing pricing strategies for technical products (APIs, cloud or developer tools).
- Deep understanding of usage‑, seat‑ and license‑based pricing models; familiarity with PLG and enterprise motions.
- Strong analytical and financial modelling skills; comfortable with data‑driven experiments.
- Excellent stakeholder management and communication skills; able to influence without authority.
- Bonus: exposure to AI/LLM pricing levers (fine‑tuning, custom models) and fast‑growth tech startups.
HIRING PROCESS
- Introduction call – 30 min
- Hiring manager interview – 45 min
- Interview with the Revenue Operations team – 30 min
- Interview with the Finance team – 30 min
- Deep‑dive interview with case study presentation – 60 min
- Culture‑fit discussion – 30 min
- Reference checks
LOCATION & REMOTE
The position is based in our Paris HQ offices 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. Each manager can decide the amount of days worked remotely based on autonomy and a specific context (e.g. more flexibility can occur during summer). In any case, employees are expected to maintain regular communication with their teams and be available during core working hours.
WHAT WE OFFER
We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks.
For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link.
PRIVACY POLICY
Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.
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ГибридPalo Alto; New York; San Francisco; Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks
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ОфисCiudad de México, Mexico
ГибридleadNew York; Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks
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🌎 We welcome applications from talent worldwide and provide relocation support to Hamburg, Germany for those ready to join our team
ГибридPalo Alto; New York; San Francisco; Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks
seniorГеография найма не уточнена
ГибридParis; Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks
seniorNew York; Paris; London; Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks
New York City Office
leadParis; Palo Alto; New York; San Francisco; London; Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks