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Location: Paris; Amsterdam; Linz; Munich; London; Berlin 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 is looking for AI Scientists with deep expertise in engineering sciences and machine learning to push the frontier of AI-accelerated simulation. Within AI4Engineering Science, you will research and train foundational physics models which are substantially more capable than what exists today and can be fine-tuned for downstream applications by both customers and internal teams. You will work across the full research stack: curating high-fidelity simulation datasets, designing and training novel model architectures, and rigorously evaluating them against real engineering validation standards. Working closely with the broader research organization, you'll ensure the foundation models you build are general enough to become the backbone of many downstream products, not just a single point solution. This role builds on a strong, world-class foundation, and the goal is to take it further. You'll work one vertical at a time toward foundation models that genuinely transfer and fine-tune across engineering tasks, with high-quality simulation data pipelines, physics-based evaluation, and uncertainty / out-of-distribution estimation as first-class concerns. There's no inherited playbook for most of what's left to do: you'll help define the architectures, training strategies, and validation standards the team builds on, not just extend an existing one. WHAT YOU WILL DO - Research and train novel foundation models for physics simulation, pushing past today's state of the art in accuracy, generalization, and scale - Design and run large-scale simulation campaigns using domain-specific solvers to build the high-fidelity datasets foundational physics models need - Investigate architectures and training strategies (e.g. multi-fidelity training, pretraining objectives, scaling behavior) that let a single foundation model transfer and fine-tune well across diverse engineering tasks - Rigorously evaluate model coverage, accuracy, and robustness against industry validation standards, and diagnose failure modes arising from data gaps or architecture limitations - Stay on top of the latest developments in the scientific community and contribute to Mistral's standing at the frontier of AI-for-engineering research WHAT WE'RE LOOKING FOR - PhD or Master's in CS/AI or an engineering science: Mechanical Engineering, Electrical Engineering, Computational Fluid Dynamics, Structural Mechanics, EDA, Semiconductor Engineering, or a related field - Strong, hands-on machine learning expertise with a deep understanding of model architectures, training dynamics, and evaluation methodology is core to this role - You have developed ML methods for simulation or surrogate modelling - You write clean, readable Python code and are comfortable in Linux/HPC environments - Fluent English with excellent communication skills, able to explain technical simulation and ML concepts to both engineering and non-technical audiences - Self-directed, you don't need detailed roadmaps to make progress - Low-ego, collaborative, and eager to learn at the intersection of simulation and ML - Demonstrated success through industrial projects, academic work, or personal projects IT WOULD BE GREAT IF YOU - Have industrial or academic experience with simulation solvers (e.g. OpenFOAM, LS-DYNA, ANSYS, COMSOL, Abaqus, Fluent, STAR-CCM+, PowerFlow, NekRS, Tau/CODA, JAX-Fluids, or equivalent; Cadence/Synopsys/Siemens EDA or equivalent) - Have experience automating large-scale simulation campaigns on HPC clusters - Have contributed to a large open-source or industry codebase - Have publications in engineering or ML venues (AIAA, ASME, JFM, NeurIPS, ICLR, etc.) 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: Paris; Amsterdam; Linz; Munich; London; Berlin 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 is looking for AI Scientists with deep ML expertise and hands-on engineering experience to expand what our agentic tools can do across the engineering lifecycle — CAE (CFD, FEA, etc.) and EDA/Semi. Working within the AI4Engineering Science team, your core work is building the pre and post-training data for Mistral's LLMs to reason about and execute real engineering tasks. Because Mistral trains its own frontier LLMs, the data and verifiers you design ship directly into models you can hold, a rare position, and the core of the job. Alongside this, you'll help shape the agent architectures and harness that let these models operate reliably inside multi-step engineering workflows, not just answer isolated questions. You'll work closely with domain experts across CAE and EDA or other domains to ground this work in how engineers actually work, and with the broader research team to translate that domain grounding into training signal and evaluation benchmarks that measure genuine task competence. This is early-stage work, and that's the point: you'd be joining at the foundation, shaping the data, verifiers, and agent scaffolding that decide whether these systems become reliable or stay demo-grade. There's no inherited playbook, you'll help define what good looks like, and your work will set the direction the team builds on rather than extend an existing one. What you will do - Design pretraining, SFT, and RL data for engineering tasks across CAD, CAE, and semiconductor/EDA - Define verifiers and evaluation criteria that capture what "correct" and "high-quality" actually mean for each engineering task, beyond surface-level plausibility - Design and improve agent architectures and harnesses: how models plan, call tools, recover from errors, and chain steps together across long-horizon engineering workflows - Build evaluation benchmarks and diagnostic tooling to identify where models fail on engineering tasks, and trace those failures back to gaps in data, reward design, or agent scaffolding - Collaborate with domain experts across CAE and EDA or other domains (and the science and solutions teams more broadly) to identify which engineering workflows are highest-value to target next - Contribute to Mistral's broader pre and post-training research, sharing findings and methodology across the science organization What we're looking for - Fluent English with excellent communication skills, able to explain technical ML and engineering concepts to both engineering and non-technical audiences - Deep, hands-on machine learning expertise, particularly LLM development - Demonstrated experience running, debugging, and validating real engineering workflows in at least one of CAD, CAE, semiconductor simulation, or EDA - You write clean, readable Python code and are comfortable in Linux/HPC environments - Self-directed, you don't need detailed roadmaps to make progress - Low-ego, collaborative, and eager to learn at the intersection of engineering and ML It would be great if you - Have experience building or fine-tuning agentic systems (tool use, multi-step planning, agent orchestration frameworks) - Have experience with reward modeling, RLHF/RLAIF/RLVR, or preference-based training - Have industrial or academic experience with CAE or EDA tools (e.g. SolidWorks, CATIA, Fluent, Abaqus, LS-DYNA, STAR-CCM+, Cadence/Synopsys/Siemens EDA tools) - Have contributed to a large open-source or industry codebase - Have publications in engineering and ML venues (NeurIPS, ICLR, JFM, AIAA, etc.) 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: Remote What you’ll be part of Garner is on a mission to transform the U.S. healthcare system — and we’re the only proven player doing exactly that. We partner with employers to redesign how healthcare works: applying 550+ proprietary clinical metrics across 80+ specialties to a dataset of 320M+ patients to identify the best-performing doctors, then using compelling incentives to steer members to the care that helps them get healthier, faster. The result is a rare “win win” — better care and lower costs for both members and employers. In just five years, our work has helped over 2.5 million people access higher-quality care and saved $1B in healthcare costs. We recently raised our Series E and have doubled five years running. If you've ever wanted your work to solve a problem that touches every person in this country, this is the opportunity to do exactly that. You'd be joining a team fundamentally reimagining healthcare in the U.S. — and using AI to scale that impact further and faster than anyone else can. Who we want This is a role for someone who wants to work on a hard problem, deliver real impact and be pushed to be the best version of themselves. As a VP, Mid-Market Sales in the Pacific Northwest region, you’ll report directly to the SVP, Mid-Market Sales. As an integral member of our sales leadership team, you will have the responsibility of managing a team of Regional Directors and Account Executives. Your team will focus on sales within the 50 to 9,999 life segment, making significant contributions to our overall growth and success. What you will do Lead and manage a team of Regional Directors and Account Executives in the Pacific Northwest region, ensuring they meet and exceed their sales targets Develop and implement effective sales strategies and initiatives to drive revenue growth within the specified segment Collaborate closely with cross-functional teams to align strategies and achieve company objectives Provide leadership and guidance to your team, fostering a culture of excellence, collaboration, and accountability Oversee the identification and pursuit of new business opportunities within the region Monitor and analyze regional sales performance, offering insights and recommendations for improvement Ensure compliance with company policies and standards, as well as industry regulations Establish and maintain strong relationships with new and existing brokers and partners in your region What we're looking for Minimum of 5 years of proven track record in sales leadership and management, with experience in delivering against team quotas Extensive experience working with benefits brokers and consultants Exceptional leadership and people management skills, with a proven ability to inspire and lead a high-performing team Strong strategic thinking and problem-solving abilities Excellent communication and interpersonal skills Results-oriented mindset with a focus on achieving and exceeding sales goals Bachelor's degree in Business Administration or a related field (Master's degree preferred) A desire to do work that matters: and to be held to a high standard while doing it. You're energized by a mission with measurable outcomes, not just good intentions. You engage with AI tools as part of how you do your best work, and hold yourself accountable to outcomes that matter beyond your team’s metrics. What you’ll get here You’ll work on problems that matter, at a company working to change healthcare at scale. You’ll work at the intersection of AI and systemic healthcare reform, where the problems we solve are as interesting and compelling as the mission. At Garner, you’ll take on real, ambitious problems with real ownership and autonomy, alongside exceptional, principles-based people who genuinely want you to win. It’s demanding by design. You’ll be challenged to stretch beyond what you thought possible and receive consistent coaching to help you grow and do the best work of your career. This isn't the right fit for everyone, and that's intentional. The people here are driven by what's at stake for real people, and that's what gives our intensity its purpose. Please note: we are unable to sponsor or take over sponsorship of an employment visa at this time. Compensation The target total comp (inclusive of base + commission) range for this role is $375,000 – $410,000. Individual compensation will depend on qualifications, skills, and applicable laws. In addition to base compensation, this role is eligible to participate in our equity incentive plan and benefits package, including: flexible PTO, Medical/Dental/Vision plan options, 401(k) with company match, flexible spending accounts, Teladoc Health, and more. Few roles offer this combination: work that is genuinely hard, a mission that is genuinely important, and a team that is genuinely invested in your success. If that’s what you’re looking for, we’d love to meet you. Fraud and Security Notice: Please be aware of recent job scam attempts. Our recruiters use getgarner.com and garnerhealth.com email domains exclusively. If you have been contacted by someone claiming to be a Garner recruiter or a hiring manager from a different domain about a potential job, please report it to law enforcement here and to candidateprotection@garnerhealth.com . Equal Employment Opportunity: Garner Health is proud to be an Equal Employment Opportunity employer and values diversity in the workplace. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. Garner Health is committed to providing accommodations for qualified individuals with disabilities in our recruiting process. If you need assistance or an accommodation due to a disability, you may contact us at talent@garnerhealth.com .

Location: Dublin, Ireland; London, England Fin , now part of Salesforce, is on a mission to help businesses provide perfect customer experiences. Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey, from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk, giving modern support teams one single system. Together with Salesforce, the #1 AI CRM, where humans with agents drive customer success, we're building the future of customer experience. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword, it's a way of life. The world of work as we know it is changing, and we're looking for Trailblazers who are passionate about bettering business and the world through AI. Ready to level up your career at the company leading workforce transformation in the agentic era? You're in the right place. Agentforce is the future of AI, and you are the future of Salesforce. What's the opportunity? At Fin, we believe every business needs an AI Agent for their customers and an AI Agent for their team. For customer experience teams, AI Agents are moving far beyond customer communication, to doing the vast majority of complex customer operations work and moving beyond taking direction from the human team, to giving direction, coordinating and undertaking work under human supervision. We built and launched Operator this year - an internal Agent for customer operations. Operator deeply understands everything happening in a business's customer experience, finds the insights and areas for improvement, delivers recommendations, and makes the changes itself with permission. It’s a new category of Agent and is a hit with our customers. This highly strategic role owns the end to end PMM work for Operator, working across product, marketing, GTM and leadership. You'll build the narrative, the positioning, and the go-to-market that makes Operator the next wildly successful product from Fin. What will I be doing? Build the external narrative for Operator and bring it to market in a way that creates and shapes the category for the industry Shape and refine the ICP and audience for the Operator- who we're talking to, what their pains are, and what makes them choose us Own core messaging and drive cross-functional alignment on what we're saying, why, and how it shows up everywhere - from the website to the sales deck to the customer email Be deeply customer-obsessed - spend time with customers, study how they evaluate and adopt, and turn signal into clear insight that shapes what we say Lead launches and go-to-market moments, working cross-functionally to deliver crisp messaging that fits sales, campaigns, and content needs, delivering mindshare for Fin and pipeline for Build crisp, high-impact narratives and enablement that sales actually uses - including the discovery questions, objection handling, and competitive positioning and work closely with GTM teams to ensure messaging lands with the customers who need to hear it most Create high-quality core PMM assets yourself: web pages, first call decks, narratives, scripts, demos, and launch materials - and maintain the core 'brain' of PMM context that feeds our AI-first approach What we're looking for This role is for someone who is a hybrid: part strategist, part storyteller, part technologist. You move between customer insight, product detail, competitive analysis, and creative expression without friction. Above all, you can take something the market has no name for and make it obvious. You've done this before 5+ years in product marketing, ideally in B2B, with a track record of shaping how complex products are understood in market You've marketed something genuinely new - a product or capability with no clear comparison set - and built the narrative that gave buyers a way to think about it You've owned a product area end-to-end - from ICP and positioning through to launches and field enablement You're comfortable with technical depth: automation, workflows, analytics, agent behaviour, and the mechanics of how a product actually does the work Experience with usage-based or consumption pricing, or with selling operational change rather than a feature set, is a strong plus You've worked in fast-moving environments where the product ships faster than the messaging can keep up - and found a way to move at that pace without losing quality You think and write with precision Excellent written communication - you write crisp briefs, sharp narratives, and synthesis memos that drive alignment Strong editorial judgment - you know the difference between a sharp positioning statement and marketing language that means nothing You push back on vague claims and force specificity - in your own work and in others' You're product-obsessed and technically engaged You read the docs, use the product, and dig into the tech before you craft a single message You're genuinely curious about AI - not just as a talking point, but as something you think about, experiment with, and engage with constantly You use AI tools fluently in your own work and are always looking for new ways to move faster and think sharper You operate at the intersection of strategy and execution You don't hand off strategy and wait - you take it all the way to the asset, the launch, the field Strong judgment and the ability to work independently on large, high-stakes initiatives A systems thinker who builds messaging architectures and frameworks others can use, not just one-off assets You work well across functions, build trust quickly, and make the people around you more effective Attributes we're looking for Ambitious and competitive - you set a high bar, think big, and want to win. You'll go the extra mile and you're motivated by building something that leads the market. Confident and decisive - you back yourself, optimise for progress over consensus, and value momentum. You ask for forgiveness, not permission. Curious and intellectually engaged - you're always learning, experimenting, and asking why. You keep up with AI's pace and use it to improve how you work. Tasteful and creative - you understand what connects emotionally with people and draw on design, culture, and craft to create ideas that resonate. Impatient and change-oriented - you hate slow and work to fix the root cause. You thrive in ambiguity and love building something new. #LI-Hybrid Unleash Your Potential When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world. In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. At Fin, we want to give people what they need to do the best work of their careers. Our benefits and programs are designed to support your health and wellbeing, your family, your time away from work, and your financial future. Offerings vary by location in line with local practices and requirements. Learn more about working at Fin and the benefits we offer at fin.ai/careers . Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records. Policies Fin has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week. We have a radically open and accepting culture at Fin. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non-work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our core values . Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.

Location: Dublin, Ireland; London, England Fin , now part of Salesforce, is on a mission to help businesses provide perfect customer experiences. Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey, from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk, giving modern support teams one single system. Together with Salesforce, the #1 AI CRM, where humans with agents drive customer success, we're building the future of customer experience. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword, it's a way of life. The world of work as we know it is changing, and we're looking for Trailblazers who are passionate about bettering business and the world through AI. Ready to level up your career at the company leading workforce transformation in the agentic era? You're in the right place. Agentforce is the future of AI, and you are the future of Salesforce. What's the opportunity? At Fin, we believe AI agents and human support teams will work symbiotically as one team in one system, increasingly directed by AI, with humans elevated to higher-level roles and engaging directly with customers only in complex, high-stakes moments. So we built Fin to be natively integrated with the Intercom helpdesk, and are completely rethinking what a Helpdesk product should be when Agents do 90%+ resolution. We’re also building exciting new products and capabilities around how human teams collaborate with, are assisted by, and supervised by the AI agent so that they can deliver great customer experiences. This PMM role will lead PMM for our Intercom helpdesk, loved by over 30k customers, and lead on how to market new capabilities that help human support teams deliver great experiences, with help and guidance from AI Agents. You'll shape how we talk to the 25,000+ businesses already using Intercom, build the narrative for an AI-first helpdesk era, and establish Intercom as the obvious choice for teams who want their AI agent and their human support layer working as one You'll work directly with product, engineering, sales leadership, and the wider marketing team. This is a builder role for someone who wants to work fast, think from first principles, and help shape the future of PMM at Fin. What will I be doing? Shape the ICP and audience for the Intercom helpdesk and additional products for teams - who we're talking to, what their pains are, and what makes them choose us Own core messaging and drive cross-functional alignment on what we're saying, why, and how it shows up everywhere - from the website to the sales deck to the customer email Define and build the external narrative for the AI-first Helpdesk - what it means, why it matters, and why Fin is uniquely positioned to deliver it - and bring it to market in a way that reshapes how buyers think about the category Partner with Product, GTM and Lifecycle on how we communicate product investment and progress to existing customers - turning roadmap momentum into customer confidence that retains and expands accounts Build crisp, high-impact enablement that sales and customer success teams actually use to sell with confidence. Work closely with GTM teams to ensure messaging lands with the customers who need to hear it most Be deeply customer-obsessed - sit with customer support teams, study how they evaluate and adopt, and turn signal into clear insight that shapes what we say Lead launches and go-to-market moments for new products and capapbilties releases, working across the company to deliver impactful launch moments that drive mindshare and pipeline Create high-quality core PMM assets yourself: web pages, first call decks, narratives and scripts launch materials. And maintain the core ‘brain’ of PMM context that feeds our AI-first approach What we're looking for This role is for someone who is a hybrid: part strategist, part storyteller, part technologist. You move between customer insight, product detail, competitive analysis, and creative expression without friction. You've done this before 5+ years in product marketing, ideally in B2B with a track record of shaping how complex products are understood in market You've owned a core product area end-to-end - from ICP and positioning through to launches and field enablement You've worked in fast-moving environments where the product ships faster than the messaging can keep up - and found a way to move at that pace without losing quality Experience with customer retention or expansion motions is a strong plus You think and write with precision Excellent written communication - you write crisp briefs, sharp narratives, and synthesis memos that drive alignment Strong editorial judgment - you know the difference between a sharp positioning statement and marketing language that means nothing You push back on vague claims and force specificity - in your own work and in others' You're product-obsessed and technically engaged You read the docs, use the product, and dig into the tech before you craft a single message You're genuinely curious about AI - not just as a talking point, but as something you think about, experiment with, and engage with constantly You use AI tools fluently in your own work and are always looking for new ways to move faster and think sharper You operate at the intersection of strategy and execution You don't hand off strategy and wait - you take it all the way to the asset, the launch, the field Strong judgment and the ability to work independently on large, high-stakes initiatives A systems thinker who builds messaging architectures and frameworks others can use, not just one-off assets You work well across functions, build trust quickly, and make the people around you more effective Attributes we're looking for Ambitious and competitive - you set a high bar, think big, and want to win. You'll go the extra mile and you're motivated by building something that leads the market. Confident and decisive - you back yourself, optimise for progress over consensus, and value momentum. You ask for forgiveness, not permission. Curious and intellectually engaged - you're always learning, experimenting, and asking why. You keep up with AI's pace and use it to improve how you work. Tasteful and creative - you understand what connects emotionally with people and draw on design, culture, and craft to create ideas that resonate. Impatient and change-oriented - you hate slow and work to fix the root cause. You thrive in ambiguity and love building something new. Benefits We are a well-treated bunch, with awesome benefits! If there’s something important to you that’s not on this list, talk to us! Competitive salary and equity in a fast-growing start-up We serve lunch every weekday, plus a variety of snack foods and a fully stocked kitchen Regular compensation reviews - we reward great work! Unlimited access to Claude Code and best-in-class AI tools; experimentation & building is encouraged & celebrated. Pension scheme & match up to 4% Peace of mind with life assurance, as well as comprehensive health and dental insurance for you and your dependents Flexible paid time off policy Paid maternity leave, as well as 6 weeks paternity leave for fathers, to let you spend valuable time with your loved ones If you’re cycling, we’ve got you covered on the Cycle-to-Work Scheme. With secure bike storage too MacBooks are our standard, but we also offer Windows for certain roles when needed #LI-Hybrid Unleash Your Potential When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world. In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. At Fin, we want to give people what they need to do the best work of their careers. Our benefits and programs are designed to support your health and wellbeing, your family, your time away from work, and your financial future. Offerings vary by location in line with local practices and requirements. Learn more about working at Fin and the benefits we offer at fin.ai/careers . Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records. Policies Fin has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week. We have a radically open and accepting culture at Fin. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non-work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our core values . Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.

Location: New York City, New York What you’ll be part of Garner is on a mission to transform the U.S. healthcare system — and we’re the only proven player doing exactly that. We partner with employers to redesign how healthcare works: applying 550+ proprietary clinical metrics across 80+ specialties to a dataset of 320M+ patients to identify the best-performing doctors, then using compelling incentives to steer members to the care that helps them get healthier, faster. The result is a rare “win win” — better care and lower costs for both members and employers. In just five years, our work has helped over 2.5 million people access higher-quality care and saved $1B in healthcare costs. We recently raised our Series E and have doubled five years running. If you've ever wanted your work to solve a problem that touches every person in this country, this is the opportunity to do exactly that. You'd be joining a team fundamentally reimagining healthcare in the U.S. — and using AI to scale that impact further and faster than anyone else can. About the role: We are seeking an exceptional Software Engineer III to join our Engineering team . Garner’s Engineering team tackles incredibly hard technical problems for a mission that truly matters. Our systems analyze billions of medical records to rank healthcare providers across the country. We are an AWS + Kubernetes shop, and we are constantly introducing new technologies as our system load doubles every year. We expect our engineers to champion cutting-edge industry practices as we aggressively embrace AI in every facet of our operations and norms. We are seeking teammates who take pride in delivering their best work while fostering a strong team culture. Where you will work: This role will be based in our New York City office (in the Financial District). You must be willing to work in the office 3 days per week on Tuesday, Wednesday and Thursday. What you will do: Use AI to build, optimize, and maintain software systems Collaborate across disciplines to understand our domain and iterate on projects Protect our users’ privacy and security through best practices The ideal candidate has: 2+ years of software engineering experience, especially with distributed event-driven architectures A generalist software engineering mindset ready to learn new languages, frameworks, and techniques required for a fast paced startup environment Familiarity with data security and HIPAA compliance A desire to be a part of a high-performing, mission-driven team that operates with intense urgency, a strong sense of individual accountability, and a commitment to authentic feedback What you’ll get here: You’ll work on problems that matter, at a company working to change healthcare at scale. You’ll work at the intersection of AI and systemic healthcare reform, where the problems we solve are as interesting and compelling as the mission. At Garner, you’ll take on real, ambitious problems with real ownership and autonomy, alongside exceptional, principles-based people who genuinely want you to win. It’s demanding by design. You’ll be challenged to stretch beyond what you thought possible and receive consistent coaching to help you grow and do the best work of your career. This isn't the right fit for everyone, and that's intentional. The people here are driven by what's at stake for real people, and that's what gives our intensity its purpose. Technologies we use: Claude Code, Kubernetes, AWS, Airflow, dlt, dbt, Python, TypeScript, React, Go This is a unique opportunity to join a fast-growing company in a transformative role, helping shape the future of healthcare. Please note: we are unable to sponsor or take over sponsorship of an employment visa at this time. Compensation Transparency: The target salary range for this position is $194,000 - $220,000 . Individual compensation for this role will depend on various factors, including qualifications, skills, and applicable laws. In addition to base compensation, this role is eligible to participate in our equity incentive and competitive benefits plans, including but not limited to: flexible PTO, Medical/Dental/Vision plan options, 401(k), Teladoc Health and more. Fraud and Security Notice: Please be aware of recent job scam attempts. Our recruiters use getgarner.com and garnerhealth.com email domains exclusively. If you have been contacted by someone claiming to be a Garner recruiter or a hiring manager from a different domain about a potential job, please report it to law enforcement here and to candidateprotection@garnerhealth.com . Equal Employment Opportunity: Garner Health is proud to be an Equal Employment Opportunity employer and values diversity in the workplace. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. Garner Health is committed to providing accommodations for qualified individuals with disabilities in our recruiting process. If you need assistance or an accommodation due to a disability, you may contact us at talent@garnerhealth.com .

Location: New York City, New York What you’ll be part of Garner is on a mission to transform the U.S. healthcare system — and we’re the only proven player doing exactly that. We partner with employers to redesign how healthcare works: applying 550+ proprietary clinical metrics across 80+ specialties to a dataset of 320M+ patients to identify the best-performing doctors, then using compelling incentives to steer members to the care that helps them get healthier, faster. The result is a rare “win win” — better care and lower costs for both members and employers. In just five years, our work has helped over 2.5 million people access higher-quality care and saved $1B in healthcare costs. We recently raised our Series E and have doubled five years running. If you've ever wanted your work to solve a problem that touches every person in this country, this is the opportunity to do exactly that. You'd be joining a team fundamentally reimagining healthcare in the U.S. — and using AI to scale that impact further and faster than anyone else can. About the role: We are seeking an exceptional Software Engineer II to join our organization. Garner’s Engineering team tackles incredibly hard technical problems for a mission that truly matters. Our systems analyze billions of medical records to rank healthcare providers across the country. We are an AWS + Kubernetes shop, and we are constantly introducing new technologies as our system load doubles every year. We expect our engineers to champion cutting-edge industry practices as we aggressively embrace AI in every facet of our operations and norms. We are seeking teammates who take pride in delivering their best work while fostering a strong team culture. Where you will work: This role will be based in our New York City office (in the Financial District). You must be willing to work in the office 3 days per week on Tuesday, Wednesday and Thursday. What you will do: Use AI to build, optimize, and maintain software systems Collaborate across disciplines to understand our domain and iterate on projects Protect our users’ privacy and security through best practices The ideal candidate has: 2+ years of software engineering experience with a generalist software engineering mindset ready to learn new languages, frameworks, and techniques required for a fast paced startup environment Familiarity with data security and HIPAA compliance and a desire to be a part of a high-performing, mission-driven team that operates with intense urgency, a strong sense of individual accountability, and a commitment to authentic feedback A desire to be a part of a high-performing, mission-driven team that operates with intense urgency, a strong sense of individual accountability, and a commitment to authentic feedback. Technologies we use: Claude Code, Kubernetes, AWS, Airflow, dlt, dbt, Python, TypeScript, React, Go This is a unique opportunity to join a fast-growing company in a transformative role, helping shape the future of healthcare. Please note: we are unable to sponsor or take over sponsorship of an employment visa at this time. Compensation Transparency: The target salary range for this position is $162,000 - $190,000 . Individual compensation for this role will depend on various factors, including qualifications, skills, and applicable laws. In addition to base compensation, this role is eligible to participate in our equity incentive and competitive benefits plans, including but not limited to: flexible PTO, Medical/Dental/Vision plan options, 401(k), Teladoc Health and more. Fraud and Security Notice: Please be aware of recent job scam attempts. Our recruiters use getgarner.com and garnerhealth.com email domains exclusively. If you have been contacted by someone claiming to be a Garner recruiter or a hiring manager from a different domain about a potential job, please report it to law enforcement here and to candidateprotection@garnerhealth.com . Equal Employment Opportunity: Garner Health is proud to be an Equal Employment Opportunity employer and values diversity in the workplace. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. Garner Health is committed to providing accommodations for qualified individuals with disabilities in our recruiting process. If you need assistance or an accommodation due to a disability, you may contact us at talent@garnerhealth.com .

Location: Remote What you’ll be part of Garner is on a mission to transform the U.S. healthcare system — and we’re the only proven player doing exactly that. We partner with employers to redesign how healthcare works: applying 550+ proprietary clinical metrics across 80+ specialties to a dataset of 320M+ patients to identify the best-performing doctors, then using compelling incentives to steer members to the care that helps them get healthier, faster. The result is a rare “win win” — better care and lower costs for both members and employers. In just five years, our work has helped over 2.5 million people access higher-quality care and saved $1B in healthcare costs. We recently raised our Series E and have doubled five years running. If you've ever wanted your work to solve a problem that touches every person in this country, this is the opportunity to do exactly that. You'd be joining a team fundamentally reimagining healthcare in the U.S. — and using AI to scale that impact further and faster than anyone else can. About the role: We are seeking an exceptional Senior Software Engineer to join our Engineering team. Garner’s Engineering team tackles incredibly hard technical problems for a mission that truly matters. Our systems analyze billions of medical records to rank healthcare providers across the country. We are an AWS + Kubernetes shop, and we are constantly introducing new technologies as our system load doubles every year. We expect our engineers to champion cutting-edge industry practices as we aggressively embrace AI in every facet of our operations and norms. We are seeking teammates who take pride in delivering their best work while fostering a strong team culture. Where you will work: Garner is headquartered in NYC, but this position is available for individuals who are comfortable with remote work and occasional travel to HQ What you will do: Lead technical strategy and decision-making on assigned domains Use AI to build, optimize, and maintain software systems Mentor and uplevel early-career engineers Collaborate across disciplines to understand our domain and iterate on projects Protect our users’ privacy and security through best practices The ideal candidate has: 4+ years of software engineering experience A generalist software engineering mindset ready to learn new languages, frameworks, and techniques required for a fast paced startup environment Demonstrated ability to build complex systems using AI coding agents (we use Claude Code) The ability to learn quickly and mentor others Familiarity with data security and HIPAA compliance A desire to be a part of a high-performing, mission-driven team that operates with intense urgency, a strong sense of individual accountability, and a commitment to authentic feedback What you'll get here: You’ll work on problems that matter, at a company working to change healthcare at scale. You’ll work at the intersection of AI and systemic healthcare reform, where the problems we solve are as interesting and compelling as the mission. At Garner, you’ll take on real, ambitious problems with real ownership and autonomy, alongside exceptional, principles-based people who genuinely want you to win. It’s demanding by design. You’ll be challenged to stretch beyond what you thought possible and receive consistent coaching to help you grow and do the best work of your career. This isn't the right fit for everyone, and that's intentional. The people here are driven by what's at stake for real people, and that's what gives our intensity its purpose. Technologies we use: Claude Code, Kubernetes, AWS, Airflow, dlt, dbt, Python, TypeScript, React, Go Compensation Transparency: The target salary range for this position is $200,000 - $255,000. Individual compensation for this role will depend on various factors, including qualifications, skills, and applicable laws. In addition to base compensation, this role is eligible to participate in our equity incentive and competitive benefits plans, including but not limited to: flexible PTO, Medical/Dental/Vision plan options, 401(k), Teladoc Health and more. Fraud and Security Notice: Please be aware of recent job scam attempts. Our recruiters use getgarner.com and garnerhealth.com email domains exclusively. If you have been contacted by someone claiming to be a Garner recruiter or a hiring manager from a different domain about a potential job, please report it to law enforcement here and to candidateprotection@garnerhealth.com . Equal Employment Opportunity: Garner Health is proud to be an Equal Employment Opportunity employer and values diversity in the workplace. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. Garner Health is committed to providing accommodations for qualified individuals with disabilities in our recruiting process. If you need assistance or an accommodation due to a disability, you may contact us at talent@garnerhealth.com .

Location: Paris; Amsterdam; Singapore; London; Lausanne 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 a Research Engineer on Forge, you will turn real customer requirements into reliable training and deployment workflows. You’ll work end‑to‑end across model adaptation and post‑training (CPT/SFT/RL/distillation), evaluation, data, and infrastructure. The role bridges research experimentation and production constraints. This role sits in Applied Science, with direct impact on client outcomes. You’ll collaborate closely with scientists, engineers, product, and customer‑facing teams to ensure Forge projects ship, are maintainable, and can be trusted by others. Interview focus can vary (algorithms, infrastructure, evals, or data). You don’t need to match every bullet below to apply. WHAT YOU WILL DO - Build and improve post‑training and evaluation workflows (CPT/SFT/RL/distillation), turning prototypes into repeatable Forge “recipes”. - Develop tools and pipelines for synthetic data generation, data curation, training, evaluation, and deployment. - Debug and harden large‑scale ML systems: distributed training, scheduling/execution, checkpointing, observability, and reproducibility. - Improve the Forge codebase via clear APIs, tests, documentation, and maintainable abstractions. - Push the frontier of our RL training stack (e.g., high-throughput async rollout and scalable post‑training systems at frontier-model scale) - Make sure Forge deployment is seamless and adaptable to a diversity of clients (hardware access, software stack, cloud and on-premises, …) - Partner with researchers and infrastructure engineers to translate bottlenecks into concrete system improvements. ABOUT YOU - Strong Python engineering skills and experience working in large codebases (testing, code review, CI, operational ownership). - Hands‑on experience with PyTorch, JAX, or similar. - Strong systems and infrastructure fundamentals. - Experience with LLM training or post‑training: fine‑tuning, RL, distillation, evaluation, and/or data pipelines. - Excellent debugging skills in ambiguous systems (distributed jobs, data issues, quality regressions, infra failures). - Clear communication with technical and non‑technical stakeholders. - High agency, low ego, and comfort in fast‑moving, under‑specified environments. NICE TO HAVE - Distributed training experience (FSDP, DeepSpeed, Megatron, etc.). - Cluster/orchestration experience (SLURM, Ray, Kubernetes, Kueue, Karpenter, Skypilot, etc.). - Experience building reliable ML infrastructure, evaluation systems, or large‑scale data processing pipelines. - Research experience in LLMs, agents, multimodal models, reasoning, code, or domain adaptation. - Open‑source contributions, publications, or widely used internal tooling. - Experience training multi‑billion‑parameter models (pre‑training or RL). Experience training on petabyte- and exabyte-scale datasets. - Ability to identify bottlenecks across the stack and drive improvements from first principles. 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, New York What you’ll be part of Garner is on a mission to transform the U.S. healthcare system — and we’re the only proven player doing exactly that. We partner with employers to redesign how healthcare works: applying 550+ proprietary clinical metrics across 80+ specialties to a dataset of 320M+ patients to identify the best-performing doctors, then using compelling incentives to steer members to the care that helps them get healthier, faster. The result is a rare “win win” — better care and lower costs for both members and employers. In just five years, our work has helped over 2.5 million people access higher-quality care and saved $1B in healthcare costs. We recently raised our Series E and have doubled five years running. If you've ever wanted your work to solve a problem that touches every person in this country, this is the opportunity to do exactly that. You'd be joining a team fundamentally reimagining healthcare in the U.S. — and using AI to scale that impact further and faster than anyone else can. About the role: We are seeking an exceptional Senior Software Engineer to join our Engineering team . Garner’s Engineering team tackles incredibly hard technical problems for a mission that truly matters. Our systems analyze billions of medical records to rank healthcare providers across the country. We are an AWS + Kubernetes shop, and we are constantly introducing new technologies as our system load doubles every year. We expect our engineers to champion cutting-edge industry practices as we aggressively embrace AI in every facet of our operations and norms. We are seeking teammates who take pride in delivering their best work while fostering a strong team culture. Where you will work: This role will be based in our New York City office (in the Financial District). You must be willing to work in the office 3 days per week on Tuesday, Wednesday and Thursday. What you will do: Lead technical strategy and decision-making on assigned domains Use AI to build, optimize, and maintain software systems Mentor and uplevel early-career engineers Collaborate across disciplines to understand our domain and iterate on projects Protect our users’ privacy and security through best practices The ideal candidate has: 4+ years of software engineering experience A generalist software engineering mindset ready to learn new languages, frameworks, and techniques required for a fast paced startup environment Demonstrated ability to build complex systems using AI coding agents (we use Claude Code) The ability to learn quickly and mentor others Familiarity with data security and HIPAA compliance A desire to be a part of a high-performing, mission-driven team that operates with intense urgency, a strong sense of individual accountability, and a commitment to authentic feedback What you’ll get here: You’ll work on problems that matter, at a company working to change healthcare at scale. You’ll work at the intersection of AI and systemic healthcare reform, where the problems we solve are as interesting and compelling as the mission. At Garner, you’ll take on real, ambitious problems with real ownership and autonomy, alongside exceptional, principles-based people who genuinely want you to win. It’s demanding by design. You’ll be challenged to stretch beyond what you thought possible and receive consistent coaching to help you grow and do the best work of your career. This isn't the right fit for everyone, and that's intentional. The people here are driven by what's at stake for real people, and that's what gives our intensity its purpose. Technologies we use: Claude Code, Kubernetes, AWS, Airflow, dlt, dbt, Python, TypeScript, React, Go This is a unique opportunity to join a fast-growing company in a transformative role, helping shape the future of healthcare. Compensation Transparency: The target salary range for this position is $230,000 - $285,000. Individual compensation for this role will depend on various factors, including qualifications, skills, and applicable laws. In addition to base compensation, this role is eligible to participate in our equity incentive and competitive benefits plans, including but not limited to: flexible PTO, Medical/Dental/Vision plan options, 401(k), Teladoc Health and more. Fraud and Security Notice: Please be aware of recent job scam attempts. Our recruiters use getgarner.com and garnerhealth.com email domains exclusively. If you have been contacted by someone claiming to be a Garner recruiter or a hiring manager from a different domain about a potential job, please report it to law enforcement here and to candidateprotection@garnerhealth.com . Equal Employment Opportunity: Garner Health is proud to be an Equal Employment Opportunity employer and values diversity in the workplace. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. Garner Health is committed to providing accommodations for qualified individuals with disabilities in our recruiting process. If you need assistance or an accommodation due to a disability, you may contact us at talent@garnerhealth.com .

Location: New York City, New York What you’ll be part of Garner is on a mission to transform the U.S. healthcare system — and we’re the only proven player doing exactly that. We partner with employers to redesign how healthcare works: applying 550+ proprietary clinical metrics across 80+ specialties to a dataset of 320M+ patients to identify the best-performing doctors, then using compelling incentives to steer members to the care that helps them get healthier, faster. The result is a rare “win win” — better care and lower costs for both members and employers. In just five years, our work has helped over 2.5 million people access higher-quality care and saved $1B in healthcare costs. We recently raised our Series E and have doubled five years running. If you've ever wanted your work to solve a problem that touches every person in this country, this is the opportunity to do exactly that. You'd be joining a team fundamentally reimagining healthcare in the U.S. — and using AI to scale that impact further and faster than anyone else can. About the role: We are seeking an exceptional Senior Data Engineer with a high sense of ownership who is excited about our mission, eager to learn and teach others, and can deliver across the tech stack. This role will report to our VP, Engineering. The ideal candidate should have experience with a modern data stack and implementations of data pipelines using Python and SQL in AWS. Where you will work: This role will be based in our New York City office. You must be willing to work in the office 3 days per week on Tuesday, Wednesday and Thursday. What you will do: Build, optimize, and maintain data pipelines that power our business Define and build out abstracted reusable data sets to be used for Business Intelligence, Marketing, and Data Science Research Design, build, and evangelize a federated data validation frameworks to be used to monitor potential data inconsistencies Protect our users’ privacy and security through best practices The ideal candidate has: 4+ years of software/data engineering experience (distributed data processing, data warehousing, data governance, Big Data, data variance, data privacy, and data quality) Expertise in SQL, job experience, and demonstrated strength with Python Expertise in building scalable data pipelines, query optimization, data modeling, and defining reusable datasets Experience working with orchestration tools (especially Airflow), databases (especially PostgreSQL), datalakes (especially Iceberg), data warehouses (especially Snowflake) Expertise with SQL tuning, Spark development, medallion and event-driven architectures. Familiarity with healthcare or insurance Familiarity with data security and HIPAA compliance A desire to be a part of a high-performing, mission-driven team that operates with intense urgency, a strong sense of individual accountability, and a commitment to authentic feedback What you’ll get here: You’ll work on problems that matter, at a company working to change healthcare at scale. You’ll work at the intersection of AI and systemic healthcare reform, where the problems we solve are as interesting and compelling as the mission. At Garner, you’ll take on real, ambitious problems with real ownership and autonomy, alongside exceptional, principles-based people who genuinely want you to win. It’s demanding by design. You’ll be challenged to stretch beyond what you thought possible and receive consistent coaching to help you grow and do the best work of your career. This isn't the right fit for everyone, and that's intentional. The people here are driven by what's at stake for real people, and that's what gives our intensity its purpose. Technologies we use: Postgres/SQL, Snowflake, Python, AWS, Terraform, Argo, Airflow, Spark, DuckDB, Iceberg, Airbyte, DBT, ElasticSearch (aka OpenSearch), OpenTelemetry, Looker This is a unique opportunity to join a fast-growing company in a transformative role, helping shape the future of healthcare. Compensation Transparency: The target salary range for this position is $220,000.00 - $245,000.00. Individual compensation for this role will depend on various factors, including qualifications, skills, and applicable laws. In addition to base compensation, this role is eligible to participate in our equity incentive and competitive benefits plans, including but not limited to: flexible PTO, Medical/Dental/Vision plan options, 401(k) with company match, flexible spending accounts, Teladoc Health and more. Fraud and Security Notice: Please be aware of recent job scam attempts. Our recruiters use getgarner.com and garnerhealth.com email domains exclusively. If you have been contacted by someone claiming to be a Garner recruiter or a hiring manager from a different domain about a potential job, please report it to law enforcement here and to candidateprotection@garnerhealth.com . Equal Employment Opportunity: Garner Health is proud to be an Equal Employment Opportunity employer and values diversity in the workplace. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. Garner Health is committed to providing accommodations for qualified individuals with disabilities in our recruiting process. If you need assistance or an accommodation due to a disability, you may contact us at talent@garnerhealth.com .

Location: New York City, New York What you’ll be part of Garner is on a mission to transform the U.S. healthcare system — and we’re the only proven player doing exactly that. We partner with employers to redesign how healthcare works: applying 550+ proprietary clinical metrics across 80+ specialties to a dataset of 320M+ patients to identify the best-performing doctors, then using compelling incentives to steer members to the care that helps them get healthier, faster. The result is a rare “win win” — better care and lower costs for both members and employers. In just five years, our work has helped over 2.5 million people access higher-quality care and saved $1B in healthcare costs. We recently raised our Series E and have doubled five years running. If you've ever wanted your work to solve a problem that touches every person in this country, this is the opportunity to do exactly that. You'd be joining a team fundamentally reimagining healthcare in the U.S. — and using AI to scale that impact further and faster than anyone else can. About the role: We are seeking an exceptional Data Engineer III to join our Engineering team, with a high sense of ownership who is excited about our mission, eager to learn and teach others, and can deliver across the tech stack. The ideal candidate should have experience with a modern data stack and implementations of data pipelines using Python and SQL in AWS. Where you will work: This role will be based in our New York City office. You must be willing to work in the office 3 days per week on Tuesday, Wednesday and Thursday. What you will do: Build, optimize, and maintain data pipelines that power our business Define and build out abstracted reusable data sets to be used for Business Intelligence, Marketing, and Data Science Research Design, build, and evangelize a federated data validation framework to be used to monitor potential data inconsistencies Protect our users’ privacy and security through best practices The ideal candidate has: 2+ years of software/data engineering experience (distributed data processing, data warehousing, data governance, Big Data, data variance, data privacy, and data quality). Expertise in SQL and Python Expertise in building scalable data pipelines, query optimization, data modeling, and defining reusable datasets Experience working with orchestration tools (especially Airflow), databases (especially PostgreSQL), data warehouses (especially Snowflake) Familiarity with SQL tuning, medallion/event-driven architectures, and telemetry. Familiarity with healthcare or insurance Familiarity with data security and HIPPA compliance A desire to be a part of a high-performing, mission-driven team that operates with intense urgency, a strong sense of individual accountability, and a commitment to authentic feedback Please note: we are unable to sponsor or take over sponsorship of an employment visa at this time. What you'll get here: You’ll work on problems that matter, at a company working to change healthcare at scale. You’ll work at the intersection of AI and systemic healthcare reform, where the problems we solve are as interesting and compelling as the mission. At Garner, you’ll take on real, ambitious problems with real ownership and autonomy, alongside exceptional, principles-based people who genuinely want you to win. It’s demanding by design. You’ll be challenged to stretch beyond what you thought possible and receive consistent coaching to help you grow and do the best work of your career. This isn't the right fit for everyone, and that's intentional. The people here are driven by what's at stake for real people, and that's what gives our intensity its purpose. Technologies we use: Postgres/SQL, Snowflake, Python, AWS, Terraform, Argo, Airflow, Spark, DuckDB, Iceberg, Airbyte, DBT, ElasticSearch (aka OpenSearch), OpenTelemetry, Looker This is a unique opportunity to join a fast-growing company in a transformative role, helping shape the future of healthcare. Compensation Transparency: The target salary range for this position is $ 166,000 - $205,000 . Individual compensation for this role will depend on various factors, including qualifications, skills, and applicable laws. In addition to base compensation, this role is eligible to participate in our equity incentive and competitive benefits plans, including but not limited to: flexible PTO, Medical/Dental/Vision plan options, 401(k) with company match, flexible spending accounts, Teladoc Health and more. Fraud and Security Notice: Please be aware of recent job scam attempts. Our recruiters use getgarner.com and garnerhealth.com email domains exclusively. If you have been contacted by someone claiming to be a Garner recruiter or a hiring manager from a different domain about a potential job, please report it to law enforcement here and to candidateprotection@garnerhealth.com . Equal Employment Opportunity: Garner Health is proud to be an Equal Employment Opportunity employer and values diversity in the workplace. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. Garner Health is committed to providing accommodations for qualified individuals with disabilities in our recruiting process. If you need assistance or an accommodation due to a disability, you may contact us at talent@garnerhealth.com .

Location: Ontario Workplace: Remote Must be CST or EST The Engineering and Business Systems team works collaboratively across Chainalysis’ Business Automation, Data and Systems organization to ensure that core business systems and platforms enable business policies and operational processes. Our job is to empower employees to do their best work by building the foundational systems and data products that drive business decisions and processes while accelerating Chainalysis’ growth. As the Director, Business Systems & Platform Engineering, you’ll be at the forefront of positioning our technical teams to thrive in an AI-driven shift to headless, API and MCP-driven business systems architectures. You’ll own the integrated technical roadmap for building out the technology architecture as well as the underlying administration and engineering practices. The ideal candidate brings strong software and data engineering leadership depth and can ramp quickly on the GTM and Finance systems domain. The role will lead a small organization that encompasses platform engineering, data engineering, integration engineering and systems administration. In this role, you'll: - Lead the systems and engineering org through a shift from a traditional IT and admin-centric org to one centered around platform and data engineering. - Own the technical architecture, design, and delivery roadmap across business systems, enterprise data and integrations. - Directly manage and grow systems and engineering-track managers and direct reports including technical mentorship and career pathing. - Collaborate with team members to establish and codify standards, style guides, workflows, ceremonies and other engineering and systems practices into a single, coherent operating model that leverages AI and agentic processes. - Partner with colleagues in Product, Success and Program Management to prioritize and deliver the BADaS roadmap by translating business, process and product requirements into technical scope, staffing, and sequencing decisions. - Act as the internal technical counterpart to vendors and partners, including reviewing architecture proposals, approving technical designs, and owning technical builds. - Own security, RBAC, and data-governance posture of BADaS platforms, especially from an audit and access-control risk perspective. - Partner with engineering leaders across Chainalysis on best practices and to leverage platforms, components, solutions and code-bases that already exist. We're looking for candidates who have: - 8+ years of experience in software, platform, or data engineering, including 4+ years managing engineers and engineering managers. - Strong organizational leadership: hiring, career pathing, and building succession depth across a multi-manager org that currently has real single-point-of-failure risk. - Comfortable operating in an ambiguous, transformation-in-progress environment. - Demonstrated ownership of team-based technical architecture and engineering practices: repo management, CI/CD, code review standards, test/regression discipline, etc. - Experience managing a technically mixed org (engineers, data engineers, and platform/systems administrators) and successfully raising the technical bar of the admin-facing work over time. - Data-first orientation focused on data architecture and flow - Strong working fluency in modern, event-based, service-oriented architectures using server-side JavaScript / TypeScript / Node.js http://node.js within a primarily serverless AWS environment. - Deep experience with REST / GraphQL API architectures, relevant authorization strategies including OAUTH and JWT. - Familiarity with data engineering fundamentals and infrastructure including SQL, Python, dbt / data modeling, pipeline orchestration, batch vs near-real time ETLs and reverse ETLs, medallion architectures. - Experience with IaC platforms (e.g. Terraform) for DevOps and cloud infrastructure. Nice to have experience: - Modern AI-centric engineering workflows and practices. - Experience with Model Context Protocol (MCP) and building autonomous AI agents. - Hands-on experience with graph theory and databases, especially as a context layer for Ai co-pilots, workflows and agents. - Track record of managing vendors and implementation partners on a complex platform build, including technical design review and sign-off authority. - Experience with enterprise SaaS platforms used in GTM and/or Finance (e.g. Marketo, Salesforce, NetSuite, Nue, Salesforce Revenue Cloud Advanced, Conga and DealHub) at an architectural and API level. Technologies we use: - Python, Node.js - AWS (Lambda, Step Functions, S3, CloudWatch, VPCs, IAM) - Workato, Fivetran - Databricks, Airbyte - Terraform - Git, Github - Salesforce, Netsuite, Workday, Marketo, Clari, Adaptive - LiteLLM, Claude Code AI at Chainalysis AI is not a feature at Chainalysis - it is a new way of working. One that turns instructions into work done, and helps us move faster than the threats we're built to counter, and we expect our employees to take ownership of the output and ensure quality. As the world's most trusted blockchain analytics platform, Chainalysis sits at a rare intersection of proprietary data, regulatory relationships and crypto expertise that makes it uniquely placed to shape and lead the next era of AI-driven intelligence - and we expect everyone here, regardless of role, to be an active part of it. AI fluency is tied directly to how we measure performance and how we plan to win. There is no substitute for your own curiosity. We provide the tools, workflows, and space to experiment - but the expectation is that you develop these capabilities yourself, bring ideas, and collaborate across teams to reinvent the way work gets done. We are not using AI to do less. We are using it to do what was never possible before. About Chainalysis Chainalysis is the blockchain data platform, making it easy to connect the movement of digital assets to real-world services. Powered by deep blockchain data and AI, organizations can investigate illicit activity, manage risk exposure, and develop innovative market solutions built on the industry's most trusted blockchain intelligence. Our mission is to build trust in blockchains, blending safety and security with an unwavering commitment to growth and innovation. You belong here.  At Chainalysis, we believe that diversity of experience and thought makes us stronger. With both customers and employees around the world, we are committed to ensuring our team reflects the unique communities around us. We’re ensuring we keep learning by committing to continually revisit and reevaluate our diversity culture. We encourage applicants across any race, ethnicity, gender/gender expression, age, spirituality, ability, experience and more. If you need any accommodations to make our interview process more accessible to you due to a disability, don't hesitate to let us know. You can learn more here https://go.chainalysis.com/rs/503-FAP-074/images/Interview%20Accommodations%20Request.pdf. We can’t wait to meet you.

Location: Remote - USA Workplace: Remote Must be CST or EST The Engineering and Business Systems team works collaboratively across Chainalysis’ Business Automation, Data and Systems organization to ensure that core business systems and platforms enable business policies and operational processes. Our job is to empower employees to do their best work by building the foundational systems and data products that drive business decisions and processes while accelerating Chainalysis’ growth. As the Director, Business Systems & Platform Engineering, you’ll be at the forefront of positioning our technical teams to thrive in an AI-driven shift to headless, API and MCP-driven business systems architectures. You’ll own the integrated technical roadmap for building out the technology architecture as well as the underlying administration and engineering practices. The ideal candidate brings strong software and data engineering leadership depth and can ramp quickly on the GTM and Finance systems domain. The role will lead a small organization that encompasses platform engineering, data engineering, integration engineering and systems administration. In this role, you'll: - Lead the systems and engineering org through a shift from a traditional IT and admin-centric org to one centered around platform and data engineering. - Own the technical architecture, design, and delivery roadmap across business systems, enterprise data and integrations. - Directly manage and grow systems and engineering-track managers and direct reports including technical mentorship and career pathing. - Collaborate with team members to establish and codify standards, style guides, workflows, ceremonies and other engineering and systems practices into a single, coherent operating model that leverages AI and agentic processes. - Partner with colleagues in Product, Success and Program Management to prioritize and deliver the BADaS roadmap by translating business, process and product requirements into technical scope, staffing, and sequencing decisions. - Act as the internal technical counterpart to vendors and partners, including reviewing architecture proposals, approving technical designs, and owning technical builds. - Own security, RBAC, and data-governance posture of BADaS platforms, especially from an audit and access-control risk perspective. - Partner with engineering leaders across Chainalysis on best practices and to leverage platforms, components, solutions and code-bases that already exist. We're looking for candidates who have: - 8+ years of experience in software, platform, or data engineering, including 4+ years managing engineers and engineering managers. - Strong organizational leadership: hiring, career pathing, and building succession depth across a multi-manager org that currently has real single-point-of-failure risk. - Comfortable operating in an ambiguous, transformation-in-progress environment. - Demonstrated ownership of team-based technical architecture and engineering practices: repo management, CI/CD, code review standards, test/regression discipline, etc. - Experience managing a technically mixed org (engineers, data engineers, and platform/systems administrators) and successfully raising the technical bar of the admin-facing work over time. - Data-first orientation focused on data architecture and flow - Strong working fluency in modern, event-based, service-oriented architectures using server-side JavaScript / TypeScript / Node.js http://node.js within a primarily serverless AWS environment. - Deep experience with REST / GraphQL API architectures, relevant authorization strategies including OAUTH and JWT. - Familiarity with data engineering fundamentals and infrastructure including SQL, Python, dbt / data modeling, pipeline orchestration, batch vs near-real time ETLs and reverse ETLs, medallion architectures. - Experience with IaC platforms (e.g. Terraform) for DevOps and cloud infrastructure. Nice to have experience: - Modern AI-centric engineering workflows and practices. - Experience with Model Context Protocol (MCP) and building autonomous AI agents. - Hands-on experience with graph theory and databases, especially as a context layer for Ai co-pilots, workflows and agents. - Track record of managing vendors and implementation partners on a complex platform build, including technical design review and sign-off authority. - Experience with enterprise SaaS platforms used in GTM and/or Finance (e.g. Marketo, Salesforce, NetSuite, Nue, Salesforce Revenue Cloud Advanced, Conga and DealHub) at an architectural and API level. Technologies we use: - Python, Node.js - AWS (Lambda, Step Functions, S3, CloudWatch, VPCs, IAM) - Workato, Fivetran - Databricks, Airbyte - Terraform - Git, Github - Salesforce, Netsuite, Workday, Marketo, Clari, Adaptive - LiteLLM, Claude Code AI at Chainalysis AI is not a feature at Chainalysis - it is a new way of working. One that turns instructions into work done, and helps us move faster than the threats we're built to counter, and we expect our employees to take ownership of the output and ensure quality. As the world's most trusted blockchain analytics platform, Chainalysis sits at a rare intersection of proprietary data, regulatory relationships and crypto expertise that makes it uniquely placed to shape and lead the next era of AI-driven intelligence - and we expect everyone here, regardless of role, to be an active part of it. AI fluency is tied directly to how we measure performance and how we plan to win. There is no substitute for your own curiosity. We provide the tools, workflows, and space to experiment - but the expectation is that you develop these capabilities yourself, bring ideas, and collaborate across teams to reinvent the way work gets done. We are not using AI to do less. We are using it to do what was never possible before. About Chainalysis Chainalysis is the blockchain data platform, making it easy to connect the movement of digital assets to real-world services. Powered by deep blockchain data and AI, organizations can investigate illicit activity, manage risk exposure, and develop innovative market solutions built on the industry's most trusted blockchain intelligence. Our mission is to build trust in blockchains, blending safety and security with an unwavering commitment to growth and innovation. You belong here.  At Chainalysis, we believe that diversity of experience and thought makes us stronger. With both customers and employees around the world, we are committed to ensuring our team reflects the unique communities around us. We’re ensuring we keep learning by committing to continually revisit and reevaluate our diversity culture. We encourage applicants across any race, ethnicity, gender/gender expression, age, spirituality, ability, experience and more. If you need any accommodations to make our interview process more accessible to you due to a disability, don't hesitate to let us know. You can learn more here https://go.chainalysis.com/rs/503-FAP-074/images/Interview%20Accommodations%20Request.pdf. We can’t wait to meet you.

Location: Goma, DRC About GiveDirectly What if the most effective way to fight poverty was also the simplest: give people money and trust them to decide what they need? Since 2011, GiveDirectly has proven that idea at scale. We’ve delivered more than $1B in cash directly to 2+ million people living in poverty and crisis across 15 countries, and rigorous research shows the results: healthier kids, stronger businesses, sturdier homes, and more resilient families and local economies. Cash is now widely recognized as one of the most scalable, cost-effective, and dignified forms of aid. Our ambition goes beyond our own programs. We want cash to become the benchmark for aid, much as the index fund became the benchmark for investing, so that every aid dollar is held to one question: is this doing more good than giving the money directly to people living in poverty? We’re growing fast, and this is a rare and important moment to join. We expect to hit $1B in revenue in 2026 with significant growth forecast for 2027. At the same time we are building a new technology stack and operating model designed for a roughly 10x change in scale, and we are actively pursuing partnerships with major funders to move even more money in bigger ways, to people who need it. We are known for our extensive integration of technology into field processes; our quantitative approach to performance measurement; and our commitment to rigorous, independent, experimental evaluation of our impact, with multiple Randomized Control Trials completed and others in progress. How we work Our team spans 20+ countries and 69 languages. Our culture is candid, analytical, and non-hierarchical. We expect high ownership and give people real responsibility early. Our values are central to how we hire, work, and grow, and they are deliberately opinionated: Recipients first. Recipients’ preferences come before those of donors or ourselves. Team next. We optimize for organizational success, not individual success. Be proactively candid. We say what we believe and share information openly. Create positive energy. We aim to be a source of energy for colleagues, not a drain. Think rigorously; act quickly. We reason from first principles, then act rather than debate. Know yourself and grow. We own our imperfections and seek feedback to grow. Accept reality. Propose solutions. We focus on what can change and bring solutions, not just problems. Be productively ambitious. We take risks for step-change impact, not incremental progress. If they describe how you like to work and they energize you, this could be a great fit. Want to learn more? Read and listen: We are one of Time100’s Most Influential Companies of 2026, and our work has been covered by The Economist , NPR , TED , and The Washington Post . We're now preparing to deliver billions of dollars a year to people in extreme poverty, if funding allows. Read our CEO's essay on what that will take. About GiveDirectly in the DRC GiveDirectly DRC was established in 2018 to enable cash transfers to poor and rural populations via mobile phones, thereby promoting food security, poverty reduction, and financial inclusion. We aimed to demonstrate the operational feasibility and cost-effectiveness of transferring large volumes of money digitally in one of the world's least developed countries. Since its inception four years ago, GiveDirectly DRC has used mobile phones to transfer over $14 million to more than 65,000 beneficiaries in four provinces: South Kivu, North Kivu, Ituri, and Kinshasa. GiveDirectly's activities in the DRC have expanded to include, among other things: compelling proofs of concept for mobile-based cash transfers; and the implementation of innovative technologies to target disadvantaged urban populations in Kinshasa, in collaboration with the DRC's social protection agency, the DRC Social Fund. The delivery of contactless cash to beneficiaries in Beni and Bunia affected by the economic consequences of COVID-19. You will be joining Give Directly DRC at an exciting time in its history, as we are establishing and hope to launch several new programs and strengthen our partnership with the DRC government. About the Role As Senior Manager, Operations (DRC), you'll build and lead the operational backbone behind GiveDirectly's programs in the country. You'll direct the support services team end-to-end — HR, logistics, procurement, and administration — while managing a team of managers. You'll design a procurement strategy that keeps goods and services flowing efficiently and reliably across provinces, own fleet and logistics management as the program scales, and manage the operational budget with an eye for efficiency. You'll also support the Country Director on HR strategy — recruitment, training, and performance — and design the systems needed for a much larger footprint across provinces, from procurement to digital tools that improve scalability. This is a role for someone who can build systems as readily as they can lead people, and who's energized by both strategic design and the operational details that make it real on the ground. What You’ll Do: Lead the DRC support services team end-to-end — HR, logistics, procurement, administration, and office management — including direct oversight of managers Develop and drive a procurement strategy ensuring efficient, compliant, and resilient sourcing across provinces, and own fleet and logistics management as the program scales Manage the operational budget, forecasting and driving efficiency across procurement, logistics, and administrative spend Support the Country Director on HR strategy — recruitment, training, performance management, and talent density — through oversight of the HR function Design systems and processes to support a much larger footprint across provinces, anticipating future needs and identifying AI and digital opportunities to improve scalability Coach and develop support services managers to build operational excellence beyond individual contribution Maintain a compliance and operational risk register, and lead internal spot checks, audit preparedness, and action plans in partnership with Finance and Internal Audit Own donor reporting, budget tracking, and donor visit coordination, and serve as the primary point of contact between the Country Office and GSS on operational and compliance matters Own the Operational Knowledge Base and lead onboarding, training, and localization of materials as the team grows Requirements: Bachelor’s degree in a relevant field (management, administration, finance, or related); a master's degree is an asset Minimum 6 years of experience in operations management, with a track record of transforming informal systems into structured, compliant, and scalable ones, including direct oversight of managers Strong financial and budget management skills, with experience managing an operational budget Proven experience maintaining a risk register and working closely with internal/external audit functions Experience developing and coaching managers, with comfort delegating execution while retaining accountability for results Strong digital fluency, with experience using and training teams on multiple platforms (Google Suite, Salesforce, Asana, Guru, Slack) Familiarity with international NGO standards and donor compliance frameworks Experience navigating the DRC's complex legal environment, including labor law and immigration requirements Strong alignment with GiveDirectly's values Excellent written and oral communication skills, including ability to communicate fluently in English and French with high level stakeholders Professional proficiency in French and English required; knowledge of Congolese Swahili and/or Lingala is an asset Compensation At GiveDirectly, we strive to pay our employees generously and equitably. We use an accredited third party salary aggregator to calculate what we believe to be competitive pay based on role, location, and cost of living. We also have a no negotiation policy to ensure we are paying staff equitably across roles. Read more about our compensation philosophy here . Unless otherwise noted, the benefits stipend may be used to cover benefits or taken as additional taxable income. Base Salary: $94,500 Bonus at Target Performance: 10% (~$9,450, with potential for upside. For reference, with the organization’s current performance multiplier, this amount would be $11,057 in 2025) Estimated Total Compensation at Target: $103,950+ This role is onsite in Goma, DRC. We welcome candidates based in the DRC as well as those willing to relocate to be based in the DRC. #LI-REMOTE Working at GiveDirectly GiveDirectly is an Equal Opportunity Employer. All qualified applicants are considered for employment without regard to the person’s race, color, religion, national origin, sex, sexual orientation, age, marital status, veteran status, disability, or any other characteristic protected by applicable law. Flagging for US applicants: We invite you to " Know Your Rights " as an applicant. Commitment to Safeguarding As a global organization working with communities to eliminate extreme poverty, GiveDirectly takes the safeguarding of its recipients, staff, and partners seriously. To that end, GiveDirectly is a member of the Misconduct Disclosure Scheme , and will systematically check with previous employers about any abuse or misconduct related matters involving potential new hires. We may also employ other robust pre-hire screens, including in-depth reference checks, criminal background checks, and sanctions screens. These efforts help us continue to build and maintain trust with the communities we work with, and prevent abuse to our recipients and staff. **GD is committed to observing all local, national and international laws that protect people and basic human rights of all. GD is committed to a policy of “zero tolerance when it comes to preventing,  reporting, or responding to any form of abuse or  exploitation.” and expects anyone who works for GD to uphold the protection and safeguarding of our recipients as a priority.** Reasonable Accommodations We are committed to fostering an inclusive and accessible work environment. If you require any accommodations during the application or interview process, or to perform the essential functions of the role, please email us at careers@givedirectly.org with the email subject “Accommodation Needed”. We will work with you to ensure reasonable accommodations are made to support your needs. Want to put your best foot forward on your GiveDirectly application? Take a look at our Candidate Application Prep Guide ! Referrals Know the right person for this role? Please consider referring them . We offer a reward of $3,000 for a Senior Manager or above role, and $500 for a Manager role, paid if we end up hiring your referral. Thank you for sending great people our way!

Location: 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 As a Customer Success Manager (CSM) at Mistral, you will be responsible for managing a portfolio of enterprise customers, ensuring they achieve their goals using Mistral’s solutions. You will serve as the primary point of contact for customers, driving adoption, satisfaction, and long-term success.  This role is ideal for those who excel in customer-facing environments, enjoy solving complex challenges, and are passionate about turning customer success into business impact. WHAT YOU WILL DO CUSTOMER SUCCESS OWNERSHIP - Manage a portfolio of enterprise customers, ensuring they maximize the value of Mistral’s AI solutions. - Build strong, trusted relationships with key stakeholders, understanding their business objectives and tailoring solutions to meet their needs. - Lead customer onboarding, adoption, and ongoing engagement to drive product usage and satisfaction. - Monitor customer health metrics, identify risks, and proactively address challenges to prevent churn. - Collaborate with Sales to identify upsell and cross-sell opportunities based on customer needs and usage patterns. - Partner with Product and Engineering teams to gather customer feedback and influence the product roadmap. - Develop and deliver customer training, enablement programs, and best practices to drive adoption. - Conduct regular business reviews (QBRs) to align on goals, challenges, and success metrics. STRATEGIC CUSTOMER GUIDANCE - Serve as a trusted advisor to customers, guiding them on how to leverage Mistral’s AI solutions to achieve their business outcomes. - Work closely with Support and Product teams to ensure seamless customer experiences, from deployment to production. - Create and execute customer success plans with clear KPIs, timelines, and measurable outcomes. - Advocate for customer needs internally, ensuring their voice is heard in product and strategic discussions. CROSS-FUNCTIONAL COLLABORATION - Share customer insights with Product, Sales, and Engineering teams to inform product improvements and strategic initiatives. - Clear obstacles for customers during deployment and adoption phases, accelerating time-to-value. - Support renewal processes, including contract negotiations, expansion discussions, and coordination with internal teams. WHAT WE'RE LOOKING FOR - 5+ years of experience in customer-facing roles, such as Customer Success, Account Management, or Solutions Consulting, ideally in a technical or SaaS environment. - Proven ability to manage enterprise customer relationships, with a focus on driving adoption, satisfaction, and retention. - Experience working with technical products, with the ability to engage confidently with Data, IT, and Engineering teams. - Strong communication and presentation skills, including the ability to tailor messaging for technical and executive audiences. - Business acumen: Ability to identify upsell and expansion opportunities while ensuring customer success. - Technical aptitude: Familiarity with AI/ML concepts is a plus; ability to understand and discuss technical requirements is essential. - Hands-on, customer-centric, collaborative, and organized, with a passion for solving complex challenges. 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, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role Anthropic is building the Forward Deployed Engineering team to help the world's most ambitious organizations adopt Claude in ways that are transformative, safe, and lasting. Our Technical Deployment Leads (TDLs) and Forward Deployed Engineers (FDEs) embed with strategic customers to ship production AI applications that solve real business problems. Our delivery model pairs two roles: FDEs own the technical artifact, and TDLs own the engagement end-to-end — from statement of work (SOW) through production deployment. As a Manager of Technical Deployment for Financial Services, you own engagement portfolio health across your vertical. You set the bar for delivery quality and build the playbooks and evaluation frameworks that let the practice scale. Your work will directly influence Anthropic's product direction and establish Anthropic as the trusted partner for AI transformation across the Fortune 100. This is a player-coach role. You need to be credible in architecture conversations with a customer's engineering leads and equally comfortable in sales conversations in front of executive sponsors, and you will lead the most complex engagements yourself when the stakes call for it. Most of your impact will come through the people you hire and the standard you hold them to. You won't write production code, but you will pressure-test the technical decisions your TDL team makes with FDEs. Responsibilities Hire, develop, and retain a team of TDLs embedded in Financial Services engagements. Set a high bar for delivery judgment, technical fluency, and customer presence, and run the interviews that hold it. Manage each TDL directly: regular 1:1s, clear expectations, direct feedback, and a growth plan. Build a bench that runs engagements well without you in the room. Own portfolio health across the vertical. Track which engagements are on track, at risk, or closing out, and intervene early when delivery drifts. Run engagement quality reviews with your team. Own customer outcomes across the portfolio. Hold the executive relationship with customer sponsors, run steering committees, and represent Anthropic's credibility with senior business, risk, and engineering leaders. Make the staffing call for each engagement. Work with FDE managers to match TDLs and engineers to each customer, and adjust as scope changes. Lead the most complex engagements yourself. Take the TDL seat when engagement size, regulatory exposure, or organizational complexity calls for it, from delivery plan through production. Set the bar for delivery excellence — SOW quality, MVP scoping, and value measurement. Ensure every engagement has a defensible impact story. Codify reusable solution patterns, evaluation frameworks, and technical playbooks across the team. Turn what works in the field into delivery infrastructure that lets the practice scale. Partner with Sales to qualify engagements, shape scope, and inform SOWs. Partner with Marketing and Sales on Financial Services–specific go-to-market materials, reference cases, and positioning. Run the team's operating rhythm: engagement reviews, knowledge-sharing, and escalation support, and report into the wider post-sales cadence and dashboards. Set team goals tied to customer outcomes. Bring the field back to Anthropic. Surface delivery lessons and emerging Financial Services use cases to Product and Research, and represent the vertical in leadership discussions. Consistently uphold Anthropic's values as you lead your team. TDLs should be strong representatives of Anthropic's culture as they work within customer environments. Travel to customer sites (25–50% expected). You May Be a Good Fit If You Have 8+ years leading enterprise AI/ML delivery, whether you came up as a founder, engineer, data scientist, or researcher who has moved into deployments, with at least 3 years directly managing people who owned delivery outcomes. Have a track record of building and leading technical delivery teams in enterprise environments, ideally including embedded or forward-deployed teams working at client sites. Have delivered AI, ML, or LLM-based agentic solutions into production. You understand solution patterns, integration approaches, and what breaks in real environments. Bring depth in Financial Services. You have delivered technology programs inside banks, insurers, or asset managers, you understand how model risk, security, and compliance review shape what ships, and you can speak credibly with a CIO, a chief risk officer, and a head of engineering. Can navigate architecture discussions with engineering stakeholders, evaluate technical trade-offs, and judge whether a proposed agent design is realistic. You are accountable for the technical direction your team sets alongside FDEs. Have experience with value-based scoping, including TCO/ROI quantification and post-deployment impact measurement. Thrive in ambiguity and bring structure where none exists. You have built a team, practice, or function from an early stage. Have executive presence: polished, credible, and concise with senior leaders in high-stakes settings, and just as effective in a hands-on engagement review with your team. Have strong written and verbal communication skills. You can translate technical complexity into clear narratives for diverse audiences. 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: $240,000 — $450,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Remote; Remote, Canada; Remote, United States GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role At GitLab, we’re looking for a Talent Brand Manager to shape how current and prospective team members understand what it means to work here. You’ll bring GitLab’s employer value proposition to life through storytelling, recruitment marketing, candidate education, and experiences that connect our external reputation to our internal culture. You’ll partner across GitLab to turn talent brand strategy into campaigns and content throughout the candidate journey. This role is a strong fit for a brand, recruitment marketing, employer brand, or content professional who can move between strategy and execution. You’ll use editorial judgment, data, and cross-functional collaboration to create clear, inclusive, and authentic candidate experiences. What You’ll Do Translate GitLab’s employer value proposition and company direction into clear, differentiated, and authentic candidate-facing messaging. Deliver integrated talent brand campaigns across careers content, social media, employer review platforms, talent communities, events, and recruiter channels. Develop and curate stories featuring team members, leaders, teams, culture, values, career growth, and the impact of working at GitLab. Partner with Talent Acquisition to create targeted content and campaigns that support hiring priorities, pipeline generation, and conversion. Improve candidate journey touchpoints with transparent, consistent, and relevant information throughout the hiring process. Use content, channel, candidate feedback, and funnel metrics to improve performance and communicate impact. Collaborate across GitLab to ensure content is accurate, inclusive, culturally relevant, and aligned with our voice. Manage projects and external partners while improving talent brand processes, systems, reporting, and operations through iteration and thoughtful use of technology and artificial intelligence tools. What You’ll Bring Experience in talent brand, employer brand, recruitment marketing, content strategy, communications, or a related field. Experience translating a brand or employer value proposition into content, campaigns, or audience experiences. Strong storytelling, writing, editing, and editorial judgment across multiple channels. Experience planning and delivering campaigns or programs with multiple stakeholders, dependencies, and deadlines. Comfort using performance data, audience insights, feedback, and market research to improve outcomes. Experience influencing across functions and working with senior stakeholders, subject matter experts, creative partners, or vendors. Ability to manage ambiguity, prioritize competing work, and move from strategy to detailed execution in an asynchronous environment. A commitment to inclusive, transparent storytelling, alignment with GitLab’s values and remote working practices, and applicable work authorization. About the team The GitLab Talent Brand team helps candidates understand what it means to work here through marketing, storytelling, partnerships, candidate education, and recruiter enablement. We evolve GitLab’s employer narrative, strengthen regional presence, improve talent content and platforms, support targeted attraction, and use data to understand our impact on candidate engagement and hiring outcomes. The base salary range for this role’s listed level is currently for residents of the United States only. This range is intended to reflect the role's base salary rate in locations throughout the US. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location. The base salary range does not include any bonuses, equity, or benefits. See more information on our benefits and equity . Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary. United States Salary Range $95,200 — $160,800 USD How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process .