AI Software Engineer Jobs

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About Enterpret  At Enterpret, we are building customer feedback intelligence for product development teams. We are solving complex problems in natural language processing, serverless computing, analytics on frontend, pushing the envelope of what’s possible by applying first principle thinking. We are backed by some of the most storied VC firms like Kleiner Perkins, and Sequoia Capital who share our conviction. We are also lucky to have some of the most respected product development teams like Canva, Notion, Samsung and Loom, as our customers. We love working with folks who are resourceful, thrive in ambiguity, and display a strong sense of ownership. Our engineering culture is built around leveraging and contributing to open-source tools. We aim to build upon and improve state-of-the-art systems in our field of work. Read more about our team, core values, and operating principles - here. What You’ll Do Build and scale core backend systems that power our customer feedback intelligence platform. Partner closely with the founding team to develop features and ship quickly. Solve complex engineering challenges in distributed systems and ML infrastructure. Design cost-effective and scalable solutions using modern backend architectures. Collaborate cross-functionally with design, frontend, and data science teams. Contribute to product direction with ideas and proof-of-concepts. Continuously raise the bar on reliability, scalability, and engineering excellence. What It Takes 6+ years in software engineering, with a proven record of building and shipping reliable systems. 3+ years at one organization where you’ve built systems from scratch and led projects. Deep expertise in distributed systems, domain modeling, and event-driven/microservices architectures. Proficiency in at least one of our core stack areas: Golang, serverless architectures, SQL/NoSQL databases, ElasticSearch, GraphQL, or microservices. Experience working with CI/CD pipelines and automated testing. Strong interpersonal skills with a track record of mentoring and collaborating with other engineers. Analytical and organizational ability to break down and solve ambiguous problems. Why Enterpret? High Impact: Build foundational systems at an early-stage startup where every line of code matters. Ownership: End-to-end responsibility for features and systems. Complex Challenges: Work on state-of-the-art ML platforms, distributed infra, and real-time analytics. Growth: Learn and grow with a high-caliber team and expand into leadership or deep technical expertise. Culture: Open, collaborative, and values-driven environment with autonomy. Benefits: Competitive salary, equity, hybrid work setup, premium healthcare, and more. What We Value At Enterpret, we operate with a deep sense of ownership — we play for the team and do what it takes to win together. We care personally for our teammates while pushing each other with honest, actionable feedback. Above all, we approach everything with humility and a drive to keep learning and getting better.   Equal Opportunities We are an equal opportunity employer. We ensure that none of our employees or prospective employees receives less favourable treatment as a result of age, sex, disability, marital status, colour, race, religion or ethnic origin. Equally we aim to ensure that no such employee is disadvantaged by terms and conditions of employment which cannot be justified.  

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This opportunity is only for candidates currently residing in the specified country. Your location may affect eligibility and rates. Please submit your resume in English and indicate your level of English proficiency.At Mindrift, innovation meets opportunity. We believe in using the power of collective intelligence to ethically shape the future of AI.What we doThe Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe.Who we’re looking for: We’re looking for curious and intellectually proactive contributors, the kind of person who double-checks assumptions and plays devil’s advocate.  Are you comfortable with ambiguity and complexity? Does an async, remote, flexible opportunity sound exciting? Would you like to learn how modern AI systems are tested and evaluated? This is a flexible, project-based opportunity well-suited for: Analysts, researchers, experienced professionals and consultants with strong critical thinking skills. People open to a part-time and non-permanent opportunity. About the project: You will create complex, realistic tasks that push frontier AI agents to their limits. Think scattered data, conditional procedures, and genuine domain expertise required. You'll build a detailed version with objective scoring, then write an ambiguous version intended to train the agent to succeed with less hand-holding. Real expert complexity only. You're improving the AI tools you'll eventually use yourself. If you have the relevant experience and are ready to take on this challenging and engaging project, join us! How to get started: Apply to this post and get the chance to contribute to projects aligned with your skills, on your own schedule. To begin working in production, you’ll need to complete the qualification step and project onboarding, where you’ll get familiar with the guidelines interface and try your first real task with guidance from our quality team. From creating training prompts to refining model responses, you'd be directly shaping how useful these models become for your own future work.RequirementsBachelor’s or Master’s Degree in Accounting, Auditing, Financial Accounting, or closely aligned areas.Professional industry experience in accounting with a minimum of 3 years in relevant fields (e.g., audit, financial reporting, internal controls, tax, management accounting). An experience in cross-functional, applied, or international projects, will be an advantage, especially if your expertise has been used in real-world or consulting contexts.Having a chartered accountancy qualification such as CPA, ACCA, or ICAEW is an advantage.Familiarity with US GAAP standards.Ability to write clearly and professionally, including explaining complex tasks in simple, structured language. Ability to analyze and synthesize information from multiple sources and turn it into accurate, coherent outputs. Creativity in designing realistic and engaging examples, cases, or workflows based on your domain knowledge. Proven ability to use English fluently in professional settings, written and verbal (C1/C2 level). Access to a laptop, stable internet connection, and sufficient availability to engage with project tasks. Motivation to work with challenging, complex, but well-defined guidelines, learn new methods, and strengthen domain-specific skills.BenefitsWhy this freelance opportunity might be a great fit for you? Get paid for your expertise, with rates that can go up to $39/hour depending on your skills, experience, and project needs.Take part in a part-time, remote, freelance project that fits around your primary professional or academic commitments.Work on advanced AI projects and gain valuable experience that enhances your portfolio.Influence how future AI models understand and communicate in your field of expertise.

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This opportunity is only for candidates currently residing in the specified country. Your location may affect eligibility and rates. Please submit your resume in English and indicate your level of English proficiency.At Mindrift, innovation meets opportunity. We believe in using the power of collective intelligence to ethically shape the future of AI.What we doThe Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe.Who we’re looking for: We’re looking for curious and intellectually proactive contributors, the kind of person who double-checks assumptions and plays devil’s advocate.  Are you comfortable with ambiguity and complexity? Does an async, remote, flexible opportunity sound exciting? Would you like to learn how modern AI systems are tested and evaluated? This is a flexible, project-based opportunity well-suited for: Analysts, researchers, experienced professionals and consultants with strong critical thinking skills. People open to a part-time and non-permanent opportunity. About the project: You will create complex, realistic tasks that push frontier AI agents to their limits. Think scattered data, conditional procedures, and genuine domain expertise required. You'll build a detailed version with objective scoring, then write an ambiguous version intended to train the agent to succeed with less hand-holding. Real expert complexity only. You're improving the AI tools you'll eventually use yourself. If you have the relevant experience and are ready to take on this challenging and engaging project, join us! How to get started: Apply to this post and get the chance to contribute to projects aligned with your skills, on your own schedule. To begin working in production, you’ll need to complete the qualification step and project onboarding, where you’ll get familiar with the guidelines interface and try your first real task with guidance from our quality team. From creating training prompts to refining model responses, you'd be directly shaping how useful these models become for your own future work.RequirementsBachelor’s or Master’s Degree in Accounting, Auditing, Financial Accounting, or closely aligned areas.Professional industry experience in accounting with a minimum of 3 years in relevant fields (e.g., audit, financial reporting, internal controls, tax, management accounting). An experience in cross-functional, applied, or international projects, will be an advantage, especially if your expertise has been used in real-world or consulting contexts.Having a chartered accountancy qualification such as CPA, ACCA, or ICAEW is an advantage.Familiarity with US GAAP standards.Ability to write clearly and professionally, including explaining complex tasks in simple, structured language. Ability to analyze and synthesize information from multiple sources and turn it into accurate, coherent outputs. Creativity in designing realistic and engaging examples, cases, or workflows based on your domain knowledge. Proven ability to use English fluently in professional settings, written and verbal (C1/C2 level). Access to a laptop, stable internet connection, and sufficient availability to engage with project tasks. Motivation to work with challenging, complex, but well-defined guidelines, learn new methods, and strengthen domain-specific skills.BenefitsWhy this freelance opportunity might be a great fit for you? Get paid for your expertise, with rates that can go up to $39/hour depending on your skills, experience, and project needs.Take part in a part-time, remote, freelance project that fits around your primary professional or academic commitments.Work on advanced AI projects and gain valuable experience that enhances your portfolio.Influence how future AI models understand and communicate in your field of expertise.

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This opportunity is only for candidates currently residing in the specified country. Your location may affect eligibility and rates. Please submit your resume in English and indicate your level of English proficiency.At Mindrift, innovation meets opportunity. We believe in using the power of collective intelligence to ethically shape the future of AI.What we doThe Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe.Who we’re looking for: We’re looking for curious and intellectually proactive contributors, the kind of person who double-checks assumptions and plays devil’s advocate.  Are you comfortable with ambiguity and complexity? Does an async, remote, flexible opportunity sound exciting? Would you like to learn how modern AI systems are tested and evaluated? This is a flexible, project-based opportunity well-suited for: Analysts, researchers, experienced professionals and consultants with strong critical thinking skills. People open to a part-time and non-permanent opportunity. About the project: You will create complex, realistic tasks that push frontier AI agents to their limits. Think scattered data, conditional procedures, and genuine domain expertise required. You'll build a detailed version with objective scoring, then write an ambiguous version intended to train the agent to succeed with less hand-holding. Real expert complexity only. You're improving the AI tools you'll eventually use yourself. If you have the relevant experience and are ready to take on this challenging and engaging project, join us! How to get started: Apply to this post and get the chance to contribute to projects aligned with your skills, on your own schedule. To begin working in production, you’ll need to complete the qualification step and project onboarding, where you’ll get familiar with the guidelines interface and try your first real task with guidance from our quality team. From creating training prompts to refining model responses, you'd be directly shaping how useful these models become for your own future work.RequirementsBachelor’s or Master’s Degree in Accounting, Auditing, Financial Accounting, or closely aligned areas.Professional industry experience in accounting with a minimum of 3 years in relevant fields (e.g., audit, financial reporting, internal controls, tax, management accounting). An experience in cross-functional, applied, or international projects, will be an advantage, especially if your expertise has been used in real-world or consulting contexts.Having a chartered accountancy qualification such as CPA, ACCA, or ICAEW is an advantage.Familiarity with US GAAP standards.Ability to write clearly and professionally, including explaining complex tasks in simple, structured language. Ability to analyze and synthesize information from multiple sources and turn it into accurate, coherent outputs. Creativity in designing realistic and engaging examples, cases, or workflows based on your domain knowledge. Proven ability to use English fluently in professional settings, written and verbal (C1/C2 level). Access to a laptop, stable internet connection, and sufficient availability to engage with project tasks. Motivation to work with challenging, complex, but well-defined guidelines, learn new methods, and strengthen domain-specific skills.BenefitsWhy this freelance opportunity might be a great fit for you? Get paid for your expertise, with rates that can go up to $50/hour depending on your skills, experience, and project needs.Take part in a part-time, remote, freelance project that fits around your primary professional or academic commitments.Work on advanced AI projects and gain valuable experience that enhances your portfolio.Influence how future AI models understand and communicate in your field of expertise.

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Vatic is looking for an AI engineer with proven experience with large foundational models.  Our environment is highly collaborative, fostering innovation and growth. We are interested in a variety of data modalities (language, vision, multimodal, and structured data) and modern model architectures. We are looking for team players who are interested in developing next-generation platforms and tools for Machine Learning as well as conducting state-of-the-art research.  As an AI Engineer you will: Play a crucial role in designing and developing cutting-edge frameworks that can serve as the future tools to help develop innovative platforms and systems that drive our trading and research efforts, with a different lens through foundational models.  Work closely with a team of passionate researchers and engineers to make sure such frameworks are compatible with recent cloud platforms, popular ML frameworks and libraries, as well as modern model architectures. play a central role in defining and running large-scale experiments that contribute towards rigorous evaluation and in-depth model analysis. We employ a team of talented engineers who have been recognized as leaders in our field. We are passionate about hiring the best and brightest, empowering them with the tools and freedom they need to be successful.   If you possess the following, we would love to explore what is available for you with our team: Keen interest in training, evaluation, understanding, and innovation of foundational models Advanced proficiency with Python development in a Linux environment Strong understanding of machine learning, deep learning, and generative AI methods and technologies Direct experience with multi-GPU model training Demonstrable success building high performance software Performance tuning/optimization of software and algorithms Familiarity with parallel computing models and frameworks Strong analytical and problem-solving skills A passion for trading, research, and technology Excitement and interest in using readily available open source technologies and prototypes Excellent communication skills Confident team player motivated by a fast-paced environment At Vatic, we’re serious about our work—but we also believe in balance, growth, and having fun along the way. Here’s what you can expect: Flat structure with direct executive exposure – Work closely with leadership and make an impact from day one. Comprehensive health benefits – Full health insurance coverage for employees and dependents. Daily meals provided – Enjoy free breakfast, lunch, and dinner at the office. Gym membership – Stay healthy with a gym reimbursement, in addition to our onsite gym.  Unlimited office snacks – Fuel your day with your favorite snacks, always stocked. Fun team outings – Build camaraderie and unwind with regular events. Organized poker, ping pong, and game nights – We’re a competitive group that enjoys getting together to challenge one another. The base salary range for this role is between $175,000 and $275,000. The base salary range does not include any other form of compensation, such as any bonus amounts, or any benefits.  Factors that may impact the agreed upon base salary within the range for a particular candidate include years of experience, level of education obtained, skill set, and other factors.

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Vatic is looking for an AI engineer with proven experience with large foundational models.  Our environment is highly collaborative, fostering innovation and growth. We are interested in a variety of data modalities (language, vision, multimodal, and structured data) and modern model architectures. We are looking for team players who are interested in developing next-generation platforms and tools for Machine Learning as well as conducting state-of-the-art research.  As an AI Engineer you will: Play a crucial role in designing and developing cutting-edge frameworks that can serve as the future tools to help develop innovative platforms and systems that drive our trading and research efforts, with a different lens through foundational models.  Work closely with a team of passionate researchers and engineers to make sure such frameworks are compatible with recent cloud platforms, popular ML frameworks and libraries, as well as modern model architectures. play a central role in defining and running large-scale experiments that contribute towards rigorous evaluation and in-depth model analysis. We employ a team of talented engineers who have been recognized as leaders in our field. We are passionate about hiring the best and brightest, empowering them with the tools and freedom they need to be successful.   If you possess the following, we would love to explore what is available for you with our team: Keen interest in training, evaluation, understanding, and innovation of foundational models Advanced proficiency with Python development in a Linux environment Strong understanding of machine learning, deep learning, and generative AI methods and technologies Direct experience with multi-GPU model training Demonstrable success building high performance software Performance tuning/optimization of software and algorithms Familiarity with parallel computing models and frameworks Strong analytical and problem-solving skills A passion for trading, research, and technology Excitement and interest in using readily available open source technologies and prototypes Excellent communication skills Confident team player motivated by a fast-paced environment At Vatic, we’re serious about our work—but we also believe in balance, growth, and having fun along the way. Here’s what you can expect: Flat structure with direct executive exposure – Work closely with leadership and make an impact from day one. Comprehensive health benefits – Full health insurance coverage for employees and dependents. Daily meals provided – Enjoy free breakfast, lunch, and dinner at the office. Gym membership – Stay healthy with a gym reimbursement, in addition to our onsite gym.  Unlimited office snacks – Fuel your day with your favorite snacks, always stocked. Fun team outings – Build camaraderie and unwind with regular events. Organized poker, ping pong, and game nights – We’re a competitive group that enjoys getting together to challenge one another. The base salary range for this role is between $175,000 and $275,000. The base salary range does not include any other form of compensation, such as any bonus amounts, or any benefits.  Factors that may impact the agreed upon base salary within the range for a particular candidate include years of experience, level of education obtained, skill set, and other factors.

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About Us Oliv.AI is a SalesTech global startup headquartered in San Francisco, debuting the world's first team of AI Agents for sales. With our recent $5.2M Seed funding, we solve one of the biggest problems for revenue teams: unreliable deal data. Oliv captures Deal Intelligence from every meeting, call, and email—without any rep involvement. The result is a clear, detailed view of every deal, presented in scorecards built on trusted sales methodologies like MEDDICC, BANT, and SPICED. Our AI agents are built for sales teams—sales managers, AEs, and RevOps—handling the work that takes them away from selling. With Oliv AI, sales teams can bring back focus on deals, strategy and conversation.AI Product Intern Location: Remote Type: Part time internship (min 5 hours/day) (potential to PPO) Start: Immediate Why this role exists We’re a lean AI startup building real customer-facing automations and agents. You’ll sit at the intersection of product, engineering, and customer success shipping solutions that real teams use every day. What you’ll do Co-build with customers: Understand discovery calls, translate messy requirements into clear specs, prototype quickly, and iterate to adoption. Own automations end-to-end: Design, build, and maintain low-code workflows using n8n and Clay (webhooks, schedulers, error handling). Customize CRMs: Configure and extend HubSpot/Salesforce for clients (objects, properties/fields, automations, APIs). Build AI agents: Help design and wire up agents using Baserow + n8n (data models, prompts, evaluation loops). Be product-minded: Propose improvements, simplify flows, and turn one-off builds into repeatable templates. What’s great about this role Hands on with the latest AI stack (agents, prompts, LLM ops) and modern automation platforms. Fast paced startup environment with real ownership from week one your work goes live. Founder track experience is perfect if you plan to start up learn customer discovery, scoping, building, and shipping. Who can apply Undergraduate engineering students. Nice to have (bonus points) Comfortable with APIs, webhooks, JSON, and basic scripting (JavaScript or Python). Familiar with (or eager to learn) n8n, Clay, HubSpot/Salesforce, and Baserow. Logistics & perks Mentorship: Work directly with product/engineering leads; weekly feedback loops Portfolio: Shippable projects you can demo (templates, agents, integrations) Stipend: Competitive for internship stage (final amount based on profile) and opportunity for full time offer Remote friendly and flexible hours We want to make sure everyone has an equal chance to participate and make a difference. Oliv.AI is an equal opportunity employer and prioritizes building a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants of any type and do not discriminate based on race, color, religion, national origin, gender, age, sexual orientation, physical or mental disability, genetic information or characteristic, gender identity and expression, veteran status, or other non-job related characteristics or other prohibited grounds specified in applicable federal, state, and local laws. Oliv’s policy is to comply with all applicable laws related to nondiscrimination and equal opportunity and will not tolerate discrimination or harassment based on any of these characteristics. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.

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Aircall is a unicorn AI-powered customer communications platform used by 22,000+ companies worldwide to drive revenue, faster resolutions, and scale. We’re redefining what a customer communications platform can be—by combining voice, SMS, WhatsApp, and AI into one seamless workspace. Our momentum comes from a simple but powerful idea: help every customer-facing team work smarter, not harder. Aircall’s AI Voice Agent automates routine calls, AI Assist streamlines post-call tasks, and AI Assist Pro delivers real-time guidance that helps people do their best work. The result—companies grow revenue, deliver faster resolutions, and scale service. We’ve built a product customers love and a business that scales fast. Aircall operates in nine global offices (Paris, New York, San Francisco, Sydney, Madrid, London, Berlin, Seattle, and Mexico City), and is backed by world-class investors. Our teams are shipping AI innovation faster than ever and expanding across new product lines and markets. At Aircall, you’ll join a company in motion—ambitious, profitable, and product-driven—where impact is visible, decisions are fast, and growth is real. How We Work at Aircall: At Aircall, we believe in customer obsession, continuous learning, and delivering extraordinary outcomes. We value open collaboration, taking ownership, and making smart, informed decisions with speed and precision. If you thrive in a fast-paced, team-driven environment where curiosity, trust, and impact matter, you'll fit right inAbout the Team Aircall’s Forward Deployed Engineering team connects our innovative AI Agents technology to real-world SMB workflows. We turn possibility into production — delivering automation that improves customer experience, boosts productivity, and unlocks new business value. Working cross-functionally with Product, Engineering, Sales, Solutions, and Customer Success, the team ensures every deployment delivers measurable impact. This is a dynamic, hands-on role at the intersection of technical consulting, project leadership, and AI adoption strategy. You don’t need to be a full-time software engineer, but you should be fluent in APIs, very confident managing technical projects, and eager to continuously learn, build, and scale new models that empower both customers and teammates. About the Role As a Forward-Deployed Engineer, you’ll own the end-to-end delivery of technically sound, low-code AI solutions for Aircall customers. You’ll design, implement, and operationalize workflows that connect the AI Agent with CRMs, help desks, and communication tools. You’ll also play a key role in driving team upskilling, building reusable frameworks, and leading cross-functional initiatives that improve how Aircall deploys AI at scale. This is a hands-on role where you’ll translate customer challenges into scalable technical solutions, working directly with Product and Engineering to refine Aircall’s platform and accelerate adoption. Please note, this is not a software engineering role. This is a hybrid, revenue driving role across Solutions Engineering, Software Engineering, Consulting, Professional Services, and Product Ownership What you'll do:Lead customer discovery and design sessions to map business processes, identify automation opportunities, and define solution architecture.Design, build, and deploy integrations using low/no-code platforms (Zapier, Make, n8n, Workato) and CRM automation tools (HubSpot Workflows, Salesforce Flow) with API connectors.Collaborate with Engineering to validate technical feasibility, resolve blockers, and share field learnings that inform product improvements.Configure and optimize the AI Agent — defining intents, prompts, actions, guardrails, and performance metrics.Manage complex, cross-functional deployments — defining timelines, aligning stakeholders, ensuring accountability, and delivering on time and within scope.Create scalable models and reusable frameworks (templates, playbooks, reference architectures) that make future projects faster and more consistent.Champion continuous learning and enablement — train peers, run internal workshops, and document best practices to raise the technical bar across the team.Run global, targeted outbound campaigns within the existing customer base to generate pipeline and accelerate adoption, working closely with the customer marketing team.Collaborate with GTM leadership to embed routines and cadences that drive accountability for new product pipeline, forecast accuracy, and performance tracking.Own regional top-line targets for assigned products (e.g., AI Voice Agent MRR generated per area) by collaborating with AEs and AMs who hold add-on quotas.Act as an internal product owner within the GTM function—defining product-specific MRR strategies, coordinating cross-functional support, and ensuring Aircall delivers the leading AI-enabled communication platform.Collaborate with Product and PMM to shape the AI Voice Agent roadmap based on customer needs, integration insights, and field learnings.Drive internal and external product education, including enablement for System Integrators (SIs) and channel partners.Maintain deep awareness of AI and CX industry trends, ensuring Aircall’s positioning remains competitive and insights continuously feed back into product and GTM strategies.What you'll bring:5–8 years in technical consulting, solutions engineering, or integration-focused project management.Strong command of APIs, webhooks, and data structures (JSON, REST, GraphQL) — able to design and troubleshoot integrations confidently. Even better if you have experience with MCP Servers.Hands-on experience with low-code orchestration tools (Zapier, Make, n8n, Workato) and CRM automation (HubSpot, Salesforce).Practical understanding of AI workflow configuration, including prompt engineering, evaluation, and monitoring.Proven ability to lead cross-functional projects, working with Engineering, Product, and Customer Success to deliver scalable outcomes.Excellent communication and stakeholder management skills, translating between technical and business audiences.A growth mindset — constantly learning new tools, frameworks, and ways to improve the customer experience and team capability. Nice-to-haves:Experience in telephony, voice, or contact center systems (SIP/WebRTC, call routing, containment, AHT).Familiarity with BI and analytics tools (Looker, BigQuery, Snowflake).Exposure to scripting (JavaScript/Python) for light customization and debugging.What Success Looks Like: Consistent delivery of high-quality, scalable AI Agent deployments with clear business outcomes.Shortened time-to-first-value and increased automation adoption across SMB customers.Reusable frameworks, models, and templates actively used by peers and partners.Strong collaboration with Engineering and Product to enhance platform capabilities.Demonstrated leadership in team enablement and upskilling, with measurable impact on technical excellence.Sustained improvements in customer metrics (containment, AHT, CSAT) and revenue impact (ARR, NRR) driven by your solutions 11,000 - 115,000 a yearThis base range is not including a quarterly bonus, equity, and other benefits. The maximum OTE for this role is 190K, including a 75K bonus. The actual salary offered will carefully consider a wide range of factors, including your skills, location, qualifications, and experience.Why This Role is Unique This is a role for builders, connectors, and enablers. You’ll be at the intersection of AI innovation, customer experience, and scalable delivery — combining technical curiosity with a consulting mindset. Every project you lead not only delivers value for customers but also strengthens Aircall’s internal capability to deploy AI faster and smarter. If you’re motivated by making cutting-edge technology accessible and impactful — while continuously learning and helping others do the same — this is the perfect next step in your career. Why join us? 🚀 Key moment to join Aircall in terms of growth and opportunities💆‍♀️ Our people matter, work-life balance is important at Aircall📚 Fast-learning environment, entrepreneurial and strong team spirit🌍 45+ Nationalities: cosmopolite & multi-cultural mindset💵 Competitive salary package & equity🏨 Medical, dental, and vision insurance is 100% covered📈 401k plan with company matching!✈️ Unlimited PTO — take the time you need to come to work feeling great!⭐️ Wellness, commuter, and childcare reimbursements💚 Generous parental leave policy DE&I Statement: At Aircall, we believe diversity, equity and inclusion – irrespective of origins, identity, background and orientations – are core to our journey.  We pride ourselves on promoting active inclusion within our business to foster a strong sense of belonging for all. We’re working to create a place filled with diverse people who can enrich and learn from one another. We’re committed to ensuring that everyone not only has a seat at the table but is valued and respected at it by providing equal opportunities to develop and thrive.   We will constantly challenge ourselves to make sure that we live up to our ambitions around diversity, equity and inclusion, and keep this conversation open. Above all else, we understand and acknowledge that we have work to do and much to learn. Want to know more about candidate privacy? Find our Candidate Privacy Notice here.

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Aircall is a unicorn AI-powered customer communications platform used by 22,000+ companies worldwide to drive revenue, faster resolutions, and scale. We’re redefining what a customer communications platform can be—by combining voice, SMS, WhatsApp, and AI into one seamless workspace. Our momentum comes from a simple but powerful idea: help every customer-facing team work smarter, not harder. Aircall’s AI Voice Agent automates routine calls, AI Assist streamlines post-call tasks, and AI Assist Pro delivers real-time guidance that helps people do their best work. The result—companies grow revenue, deliver faster resolutions, and scale service. We’ve built a product customers love and a business that scales fast. Aircall operates in nine global offices (Paris, New York, San Francisco, Sydney, Madrid, London, Berlin, Seattle, and Mexico City), and is backed by world-class investors. Our teams are shipping AI innovation faster than ever and expanding across new product lines and markets. At Aircall, you’ll join a company in motion—ambitious, profitable, and product-driven—where impact is visible, decisions are fast, and growth is real. How We Work at Aircall: At Aircall, we believe in customer obsession, continuous learning, and delivering extraordinary outcomes. We value open collaboration, taking ownership, and making smart, informed decisions with speed and precision. If you thrive in a fast-paced, team-driven environment where curiosity, trust, and impact matter, you'll fit right in About the Team Aircall’s Forward Deployed Engineering team connects our innovative AI Agents technology to real-world SMB workflows. We turn possibility into production — delivering automation that improves customer experience, boosts productivity, and unlocks new business value. Working cross-functionally with Product, Engineering, Sales, Solutions, and Customer Success, the team ensures every deployment delivers measurable impact. This is a dynamic, hands-on role at the intersection of technical consulting, project leadership, and AI adoption strategy. You don’t need to be a full-time software engineer, but you should be fluent in APIs, very confident managing technical projects, and eager to continuously learn, build, and scale new models that empower both customers and teammates. As a Forward-Deployed Engineer, you’ll own the end-to-end delivery of technically sound, low-code AI solutions for Aircall customers. You’ll design, implement, and operationalize workflows that connect the AI Agent with CRMs, help desks, and communication tools. You’ll also play a key role in driving team upskilling, building reusable frameworks, and leading cross-functional initiatives that improve how Aircall deploys AI at scale. This is a hands-on role where you’ll translate customer challenges into scalable technical solutions, working directly with Product and Engineering to refine Aircall’s platform and accelerate adoption. Please note, this is not a software engineering role. This is a hybrid, revenue driving role across Solutions Engineering, Software Engineering, Consulting, Professional Services, and Product Ownership Key ResponsibilitiesLead customer discovery and design sessions to map business processes, identify automation opportunities, and define solution architecture.Design, build, and deploy integrations using low/no-code platforms (Zapier, Make, n8n, Workato) and CRM automation tools (HubSpot Workflows, Salesforce Flow) with API connectors.Collaborate with Engineering to validate technical feasibility, resolve blockers, and share field learnings that inform product improvements.Configure and optimize the AI Agent — defining intents, prompts, actions, guardrails, and performance metrics.Manage complex, cross-functional deployments — defining timelines, aligning stakeholders, ensuring accountability, and delivering on time and within scope.Create scalable models and reusable frameworks (templates, playbooks, reference architectures) that make future projects faster and more consistent.Champion continuous learning and enablement — train peers, run internal workshops, and document best practices to raise the technical bar across the team.Run global, targeted outbound campaigns within the existing customer base to generate pipeline and accelerate adoption, working closely with the customer marketing team.Collaborate with GTM leadership to embed routines and cadences that drive accountability for new product pipeline, forecast accuracy, and performance tracking.Own regional top-line targets for assigned products (e.g., AI Voice Agent MRR generated per area) by collaborating with AEs and AMs who hold add-on quotas.Act as an internal product owner within the GTM function—defining product-specific MRR strategies, coordinating cross-functional support, and ensuring Aircall delivers the leading AI-enabled communication platform.Collaborate with Product and PMM to shape the AI Voice Agent roadmap based on customer needs, integration insights, and field learnings.Drive internal and external product education, including enablement for System Integrators (SIs) and channel partners.Maintain deep awareness of AI and CX industry trends, ensuring Aircall’s positioning remains competitive and insights continuously feed back into product and GTM strategies.Qualifications5–8 years in technical consulting, solutions engineering, or integration-focused project management.Strong command of APIs, webhooks, and data structures (JSON, REST, GraphQL) — able to design and troubleshoot integrations confidently. Even better if you have experience with MCP Servers.Hands-on experience with low-code orchestration tools (Zapier, Make, n8n, Workato) and CRM automation (HubSpot, Salesforce).Practical understanding of AI workflow configuration, including prompt engineering, evaluation, and monitoring.Proven ability to lead cross-functional projects, working with Engineering, Product, and Customer Success to deliver scalable outcomes.Excellent communication and stakeholder management skills, translating between technical and business audiences.A growth mindset — constantly learning new tools, frameworks, and ways to improve the customer experience and team capability. Nice-to-haves:Experience in telephony, voice, or contact center systems (SIP/WebRTC, call routing, containment, AHT).Familiarity with BI and analytics tools (Looker, BigQuery, Snowflake).Exposure to scripting (JavaScript/Python) for light customization and debugging.What Success Looks Like: Consistent delivery of high-quality, scalable AI Agent deployments with clear business outcomes.Shortened time-to-first-value and increased automation adoption across SMB customers.Reusable frameworks, models, and templates actively used by peers and partners.Strong collaboration with Engineering and Product to enhance platform capabilities.Demonstrated leadership in team enablement and upskilling, with measurable impact on technical excellence.Sustained improvements in customer metrics (containment, AHT, CSAT) and revenue impact (ARR, NRR) driven by your solutionsWhy This Role is Unique This is a role for builders, connectors, and enablers. You’ll be at the intersection of AI innovation, customer experience, and scalable delivery — combining technical curiosity with a consulting mindset. Every project you lead not only delivers value for customers but also strengthens Aircall’s internal capability to deploy AI faster and smarter. If you’re motivated by making cutting-edge technology accessible and impactful — while continuously learning and helping others do the same — this is the perfect next step in your career. Why join us? 🚀 Key moment to join Aircall in terms of growth and opportunities💆‍♀️ Our people matter, work-life balance is important at Aircall📚 Fast-learning environment, entrepreneurial and strong team spirit🌍 45+ Nationalities: cosmopolite & multi-cultural mindset💶 Competitive salary package & benefits DE&I Statement: At Aircall, we believe diversity, equity and inclusion – irrespective of origins, identity, background and orientations – are core to our journey.  We pride ourselves on promoting active inclusion within our business to foster a strong sense of belonging for all. We’re working to create a place filled with diverse people who can enrich and learn from one another. We’re committed to ensuring that everyone not only has a seat at the table but is valued and respected at it by providing equal opportunities to develop and thrive.   We are strongly committed to hiring a diverse and multicultural team and we encourage applications from traditionally underrepresented backgrounds.

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Aircall is a unicorn AI-powered customer communications platform used by 22,000+ companies worldwide to drive revenue, faster resolutions, and scale. We’re redefining what a customer communications platform can be—by combining voice, SMS, WhatsApp, and AI into one seamless workspace. Our momentum comes from a simple but powerful idea: help every customer-facing team work smarter, not harder. Aircall’s AI Voice Agent automates routine calls, AI Assist streamlines post-call tasks, and AI Assist Pro delivers real-time guidance that helps people do their best work. The result—companies grow revenue, deliver faster resolutions, and scale service. We’ve built a product customers love and a business that scales fast. Aircall operates in nine global offices (Paris, New York, San Francisco, Sydney, Madrid, London, Berlin, Seattle, and Mexico City), and is backed by world-class investors. Our teams are shipping AI innovation faster than ever and expanding across new product lines and markets. At Aircall, you’ll join a company in motion—ambitious, profitable, and product-driven—where impact is visible, decisions are fast, and growth is real. How We Work at Aircall: At Aircall, we believe in customer obsession, continuous learning, and delivering extraordinary outcomes. We value open collaboration, taking ownership, and making smart, informed decisions with speed and precision. If you thrive in a fast-paced, team-driven environment where curiosity, trust, and impact matter, you'll fit right in About the Team Aircall’s Forward Deployed Engineering team connects our innovative AI Agents technology to real-world SMB workflows. We turn possibility into production — delivering automation that improves customer experience, boosts productivity, and unlocks new business value. Working cross-functionally with Product, Engineering, Sales, Solutions, and Customer Success, the team ensures every deployment delivers measurable impact. This is a dynamic, hands-on role at the intersection of technical consulting, project leadership, and AI adoption strategy. You don’t need to be a full-time software engineer, but you should be fluent in APIs, very confident managing technical projects, and eager to continuously learn, build, and scale new models that empower both customers and teammates. As a Forward-Deployed Engineer, you’ll own the end-to-end delivery of technically sound, low-code AI solutions for Aircall customers. You’ll design, implement, and operationalize workflows that connect the AI Agent with CRMs, help desks, and communication tools. You’ll also play a key role in driving team upskilling, building reusable frameworks, and leading cross-functional initiatives that improve how Aircall deploys AI at scale. This is a hands-on role where you’ll translate customer challenges into scalable technical solutions, working directly with Product and Engineering to refine Aircall’s platform and accelerate adoption. Please note, this is not a software engineering role. This is a hybrid, revenue driving role across Solutions Engineering, Software Engineering, Consulting, Professional Services, and Product Ownership Key ResponsibilitiesLead customer discovery and design sessions to map business processes, identify automation opportunities, and define solution architecture.Design, build, and deploy integrations using low/no-code platforms (Zapier, Make, n8n, Workato) and CRM automation tools (HubSpot Workflows, Salesforce Flow) with API connectors.Collaborate with Engineering to validate technical feasibility, resolve blockers, and share field learnings that inform product improvements.Configure and optimize the AI Agent — defining intents, prompts, actions, guardrails, and performance metrics.Manage complex, cross-functional deployments — defining timelines, aligning stakeholders, ensuring accountability, and delivering on time and within scope.Create scalable models and reusable frameworks (templates, playbooks, reference architectures) that make future projects faster and more consistent.Champion continuous learning and enablement — train peers, run internal workshops, and document best practices to raise the technical bar across the team.Run global, targeted outbound campaigns within the existing customer base to generate pipeline and accelerate adoption, working closely with the customer marketing team.Collaborate with GTM leadership to embed routines and cadences that drive accountability for new product pipeline, forecast accuracy, and performance tracking.Own regional top-line targets for assigned products (e.g., AI Voice Agent MRR generated per area) by collaborating with AEs and AMs who hold add-on quotas.Act as an internal product owner within the GTM function—defining product-specific MRR strategies, coordinating cross-functional support, and ensuring Aircall delivers the leading AI-enabled communication platform.Collaborate with Product and PMM to shape the AI Voice Agent roadmap based on customer needs, integration insights, and field learnings.Drive internal and external product education, including enablement for System Integrators (SIs) and channel partners.Maintain deep awareness of AI and CX industry trends, ensuring Aircall’s positioning remains competitive and insights continuously feed back into product and GTM strategies.Qualifications5–8 years in technical consulting, solutions engineering, or integration-focused project management.Strong command of APIs, webhooks, and data structures (JSON, REST, GraphQL) — able to design and troubleshoot integrations confidently. Even better if you have experience with MCP Servers.Hands-on experience with low-code orchestration tools (Zapier, Make, n8n, Workato) and CRM automation (HubSpot, Salesforce).Practical understanding of AI workflow configuration, including prompt engineering, evaluation, and monitoring.Proven ability to lead cross-functional projects, working with Engineering, Product, and Customer Success to deliver scalable outcomes.Excellent communication and stakeholder management skills, translating between technical and business audiences.A growth mindset — constantly learning new tools, frameworks, and ways to improve the customer experience and team capability. Nice-to-haves:Experience in telephony, voice, or contact center systems (SIP/WebRTC, call routing, containment, AHT).Familiarity with BI and analytics tools (Looker, BigQuery, Snowflake).Exposure to scripting (JavaScript/Python) for light customization and debugging.What Success Looks Like: Consistent delivery of high-quality, scalable AI Agent deployments with clear business outcomes.Shortened time-to-first-value and increased automation adoption across SMB customers.Reusable frameworks, models, and templates actively used by peers and partners.Strong collaboration with Engineering and Product to enhance platform capabilities.Demonstrated leadership in team enablement and upskilling, with measurable impact on technical excellence.Sustained improvements in customer metrics (containment, AHT, CSAT) and revenue impact (ARR, NRR) driven by your solutionsWhy This Role is Unique This is a role for builders, connectors, and enablers. You’ll be at the intersection of AI innovation, customer experience, and scalable delivery — combining technical curiosity with a consulting mindset. Every project you lead not only delivers value for customers but also strengthens Aircall’s internal capability to deploy AI faster and smarter. If you’re motivated by making cutting-edge technology accessible and impactful — while continuously learning and helping others do the same — this is the perfect next step in your career. Why join us? 🚀 Key moment to join Aircall in terms of growth and opportunities💆‍♀️ Our people matter, work-life balance is important at Aircall📚 Fast-learning environment, entrepreneurial and strong team spirit🌍 45+ Nationalities: cosmopolite & multi-cultural mindset💶 Competitive salary package & benefits DE&I Statement: At Aircall, we believe diversity, equity and inclusion – irrespective of origins, identity, background and orientations – are core to our journey.  We pride ourselves on promoting active inclusion within our business to foster a strong sense of belonging for all. We’re working to create a place filled with diverse people who can enrich and learn from one another. We’re committed to ensuring that everyone not only has a seat at the table but is valued and respected at it by providing equal opportunities to develop and thrive.   We are strongly committed to hiring a diverse and multicultural team and we encourage applications from traditionally underrepresented backgrounds.

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Aircall is a unicorn AI-powered customer communications platform used by 22,000+ companies worldwide to drive revenue, faster resolutions, and scale. We’re redefining what a customer communications platform can be—by combining voice, SMS, WhatsApp, and AI into one seamless workspace. Our momentum comes from a simple but powerful idea: help every customer-facing team work smarter, not harder. Aircall’s AI Voice Agent automates routine calls, AI Assist streamlines post-call tasks, and AI Assist Pro delivers real-time guidance that helps people do their best work. The result—companies grow revenue, deliver faster resolutions, and scale service. We’ve built a product customers love and a business that scales fast. Aircall operates in nine global offices (Paris, New York, San Francisco, Sydney, Madrid, London, Berlin, Seattle, and Mexico City), and is backed by world-class investors. Our teams are shipping AI innovation faster than ever and expanding across new product lines and markets. At Aircall, you’ll join a company in motion—ambitious, profitable, and product-driven—where impact is visible, decisions are fast, and growth is real. How We Work at Aircall: At Aircall, we believe in customer obsession, continuous learning, and delivering extraordinary outcomes. We value open collaboration, taking ownership, and making smart, informed decisions with speed and precision. If you thrive in a fast-paced, team-driven environment where curiosity, trust, and impact matter, you'll fit right inAbout the Role: The Director, Forward Deployed Engineering & AI GTM Lead owns the technical execution, go-to-market effectiveness, and organizational adoption of Aircall’s AI Communication Agent. This role leads and scales the Forward Deployed Engineering (FDE) team while remaining closely engaged in customer-facing work to ensure consistency, quality, and impact across all deployments. Operating at the intersection of Applied AI, technical delivery, and go-to-market execution, this leader works across Sales, Account Management, Product, Engineering, Marketing, and Support to ensure AVA is successfully positioned, implemented, and scaled. The role plays a critical part in shaping how Aircall brings AI to market - translating field execution into repeatable models, and customer learnings into product and GTM evolution.Key Responsibilities:Lead, coach, and grow the Forward Deployed Engineering team from 3 FDEs today to 7–8 by H1 ‘26, setting clear standards for technical excellence, execution rigor, and customer impact.Stay closely involved in active customer engagements and strategic initiatives, providing technical guidance, solution direction, and senior-level support where needed.Drive strong AI Agents go-to-market execution by embedding disciplined operating practices across the team, including pipeline hygiene, forecasting accuracy, and effective collaboration with Sales, AM, SE, Partners, and CEs.Pilot the team using data-backed operating models, defining and tracking clear input and output KPIs to assess performance, drive accountability, and accelerate AI Agent adoption (e.g., activity metrics, time-to-value, deployment quality, usage and revenue impact).Maintain deep technical credibility by staying close to the product and real-world use cases — comfortable coding in at least one language and highly fluent with APIs, integrations, and modern system architectures.Guide the design and delivery of scalable AI Agent deployments, including integrations with CRMs, help desks, and System-of-Truth platforms.Build and evolve playbooks, reference architectures, and deployment frameworks that enable repeatable, high-quality execution as the team scales.Lead cross-functional programs focused on AI Agents success, coordinating efforts across Product, Engineering, Marketing, Support, and GTM teams.Represent field execution and customer needs in close partnership with Product and Engineering, influencing roadmap priorities and delivery decisions.Drive internal enablement and upskilling across GTM teams, ensuring Aircall Voice Agent is clearly understood, well-positioned, and effectively adopted. Qualifications:7+ years of experience in technical sales, solutions engineering, forward-deployed engineering, or professional services roles, with prior people-management experience strongly preferred.Strong entrepreneurial mindset, as this is a startup within a startup (even better if former founder)Strong technical foundation, including hands-on experience with APIs, integrations, and data-driven systems; ability to code in at least one language (e.g., Python or JavaScript).Demonstrated ability to lead execution in complex, cross-functional environments while staying close to the field.Experience working within overlay or specialist GTM models, with strong understanding of sales cycles, forecasting, and execution best practices.Proven ability to build scalable playbooks and operating models that move teams beyond ad hoc delivery.Excellent communication and stakeholder management skills, translating between technical and business audiences.Strong interest in AI and applied automation; prior experience in AI, conversational AI, or adjacent domains is a significant plus.Experience with CRMs, help desks, and System-of-Truth architectures is highly desirable. What Success Looks LikeAgents are consistently deployed with high quality and clear business impact across customers.The FDE team scales effectively with shared standards, reusable frameworks, and predictable execution.Go-to-market execution for Agents is disciplined, data-driven, and improving quarter over quarter.Cross-functional teams operate with strong alignment around AI Agents' priorities, launches, and roadmap decisions.Field learnings continuously inform product evolution and GTM strategy, strengthening Aircall’s leadership in applied AI. 160,000 - 200,000 a yearThis base range is not including an annual bonus (60/40 split), equity, and other benefits. The actual salary offer will carefully consider a wide range of factors, including your skills, qualifications, and experience. Why join us? 🚀 Key moment to join Aircall in terms of growth and opportunities💆‍♀️ Our people matter, work-life balance is important at Aircall📚 Fast-learning environment, entrepreneurial and strong team spirit🌍 45+ Nationalities: cosmopolite & multi-cultural mindset💵 Competitive salary package & equity🏨 Medical, dental, and vision insurance is 100% covered📈 401k plan with company matching!✈️ Unlimited PTO — take the time you need to come to work feeling great!⭐️ Wellness, commuter, and childcare reimbursements💚 Generous parental leave policy DE&I Statement: At Aircall, we believe diversity, equity and inclusion – irrespective of origins, identity, background and orientations – are core to our journey.  We pride ourselves on promoting active inclusion within our business to foster a strong sense of belonging for all. We’re working to create a place filled with diverse people who can enrich and learn from one another. We’re committed to ensuring that everyone not only has a seat at the table but is valued and respected at it by providing equal opportunities to develop and thrive.   We will constantly challenge ourselves to make sure that we live up to our ambitions around diversity, equity and inclusion, and keep this conversation open. Above all else, we understand and acknowledge that we have work to do and much to learn. Want to know more about candidate privacy? Find our Candidate Privacy Notice here.

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Aircall is a unicorn AI-powered customer communications platform used by 22,000+ companies worldwide to drive revenue, faster resolutions, and scale. We’re redefining what a customer communications platform can be—by combining voice, SMS, WhatsApp, and AI into one seamless workspace. Our momentum comes from a simple but powerful idea: help every customer-facing team work smarter, not harder. Aircall’s AI Voice Agent automates routine calls, AI Assist streamlines post-call tasks, and AI Assist Pro delivers real-time guidance that helps people do their best work. The result—companies grow revenue, deliver faster resolutions, and scale service. We’ve built a product customers love and a business that scales fast. Aircall operates in nine global offices (Paris, New York, San Francisco, Sydney, Madrid, London, Berlin, Seattle, and Mexico City), and is backed by world-class investors. Our teams are shipping AI innovation faster than ever and expanding across new product lines and markets. At Aircall, you’ll join a company in motion—ambitious, profitable, and product-driven—where impact is visible, decisions are fast, and growth is real. How We Work at Aircall: At Aircall, we believe in customer obsession, continuous learning, and delivering extraordinary outcomes. We value open collaboration, taking ownership, and making smart, informed decisions with speed and precision. If you thrive in a fast-paced, team-driven environment where curiosity, trust, and impact matter, you'll fit right inAs an AI Engineer for the Integrations team, you will be responsible to design, develop, and optimize scalable, high-performance cloud-based solutions. In this role, you will work across the entire software development lifecycle, contributing to architecture, coding, testing, and deployment while ensuring high-quality and reliable deliverables. You’ll collaborate closely with cross-functional teams to translate requirements into technical solutions. This position offers the chance to solve challenging technical problems, mentor junior engineers, and make a meaningful impact on the design, development, deployment, and operation of world-class software and features that add customer value.Key ResponsibilitiesOwn key responsibilities in the design, architecture, and end-to-end delivery of AI-driven modules.Propose innovative solutions by staying ahead of AI landscape trends and emerging technologies.Participate in requirements analysis to help with providing the right technical and business solutions for our customers.Have key responsibilities within the design, architecture, and end-to-end delivery of your development.Write clean scalable code and test and deploy applications and systems.Revise, update, refactor, and debug code.Participate in code reviews to ensure code quality and share knowledge.Be part of an engineering organization delivering high quality, secure, voice solutions to Aircall clients.Involvement in product and platform performance optimization and live site monitoring.Participate in an on-call rotation to respond to critical system issues and ensure continuous system reliability.Security is at the forefront of your mind in everything that you do.QualificationsAI experience is a must for this position: Strong knowledge of LLMs and hands-on experience building with them - including usage, prompting and model integration.Proven understanding and direct experience with Agentic AI systems, including designing, developing, and deploying AI Agents and MCP prototype/servers.Familiarity with AI frameworks (e.g., LangChain, LlamaIndex, AutoGen) and modern AI architectures such as RAG, vector databases, reranking, and performance optimization.At least 1 year of experience in back-end development using Python, TypeScript/Node.js, or Java, with a focus on security, scalability, availability, and performance.Full-stack development experience is a strong plus.Nice to have: Ideally you will have worked with AWS in a production environment and understand how to design for, deploy on and get the best out of, the environment and services provided by Amazon. 140,000 - 220,000 a yearThis is not including equity and other benefits. The actual salary offered will carefully consider a wide range of factors, including your skills, qualifications, and experience.Why join us? 🚀 Key moment to join Aircall in terms of growth and opportunities💆‍♀️ Our people matter, work-life balance is important at Aircall📚 Fast-learning environment, entrepreneurial and strong team spirit🌍 45+ Nationalities: cosmopolite & multi-cultural mindset💵 Competitive salary package & equity🏨 Medical, dental, and vision insurance is 100% covered📈 401k plan with company matching!✈️ Unlimited PTO — take the time you need to come to work feeling great!⭐️ Wellness, internet, and childcare reimbursements💚 Generous parental leave policy DE&I Statement: At Aircall, we believe diversity, equity and inclusion – irrespective of origins, identity, background and orientations – are core to our journey.  We pride ourselves on promoting active inclusion within our business to foster a strong sense of belonging for all. We’re working to create a place filled with diverse people who can enrich and learn from one another. We’re committed to ensuring that everyone not only has a seat at the table but is valued and respected at it by providing equal opportunities to develop and thrive.   We will constantly challenge ourselves to make sure that we live up to our ambitions around diversity, equity and inclusion, and keep this conversation open. Above all else, we understand and acknowledge that we have work to do and much to learn. Want to know more about candidate privacy? Find our Candidate Privacy Notice here.

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We believe that the way people interact with their finances will drastically improve in the next few years. We’re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid’s network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Washington D.C., London and Amsterdam.At Plaid, security isn't a cost center or a compliance checklist—it is our product. We sit at the intersection of thousands of applications, thousands of financial institutions, and hundreds of millions of consumers. We are the trust layer for the fintech ecosystem. If we don't build secure systems, the ecosystem doesn't function. You will join a team responsible for the secure backbone of Plaid. As we look toward 2026, you will have the opportunity to define industry standards in areas like:Next-Generation Authorization: We are moving beyond simple RBAC. You will help build a unified, centralized Authorization Platform that enforces fine-grained permissions across all human and non-human identities.Agentic Security Capabilities: Build AI agents and tooling to automate functions like vulnerability patching, secure code reviews, and anomaly detection.Zero Trust Architecture: You will evolve our internal token services and identity gateways to enforce rigorous Zero Trust controls for every service, device, and user in our fleet.AI Guardrails: As Plaid adopts GenAI, you will build the "guardrails" and paved roads that allow our engineers to use LLMs securely, preventing data leakage and model abuse before they happen.Cryptographic Services: You will own and scale our internal Key Management Systems, the central services for encryption, signing, and key rotation that protect our most sensitive data.Network Security: You will help us sandbox our sensitive workloads from the internet, preventing command-and-control and data exfiltration.ResponsibilitiesDesign & Code: Write high-quality, scalable code to enhance product security or support security functions.Architect: Lead the technical design of complex, cross-functional security systems. You will determine how we solve problems like "universal service-to-service authentication" or "global data encryption" at scale.Consult & Embed: Act as a security subject matter expert for other engineering teams. We embed within engineering teams to build and accelerate security features within our products and frameworks.Operate: Own your systems in production. We run an on-call rotation for the services we build, ensuring they meet the same high availability standards as our core products.Innovate: Contribute to the broader security industry. Whether it's open-sourcing our internal tools or contributing to major open-source security projects, we want you to help move the industry forward.QualificationsStrong Software Engineering skills: You have 8+ years of experience building distributed systems, backend services, or infrastructure. You care about code quality, testing, and reliability.You are "security-curious": You understand the fundamentals of security (encryption, auth protocols like OIDC/OAuth, network security) and want to dive deeper. You ask "how can we design this so it can't be misused?" rather than just "is this bug fixed?"You think at a system-level: You can visualize complex dependencies and design solutions that work across dozens of microservices.You are a Partner: You can communicate complex security requirements to product managers and engineers with empathy and clarity. 172,368 - 370,800 a yearThe target base salary for this position ranges from $172,368/year to $370,800/year in Zone 1. The target base salary will vary based on the job's location.  Our geographic zones are as follows:Zone 1 - New York City and San Francisco Bay AreaZone 2 - Los Angeles, Seattle, Washington D.C.Zone 3 - Austin, Boston, Denver, Houston, Portland, Sacramento, San DiegoZone 4 - Raleigh-Durham and all other US cities The base salary range listed for this full-time position excludes commission (if applicable), equity and benefits. The pay range shown on each job posting is the minimum and maximum target for new-hire salaries. Actual pay may be higher or lower depending on factors like skills, experience, and relevant education or training.Our mission at Plaid is to unlock financial freedom for everyone. To support that mission, we seek to build a diverse team of driven individuals who care deeply about making the financial ecosystem more equitable. We recognize that strong qualifications can come from both prior work experiences and lived experiences. We encourage you to apply to a role even if your experience doesn't fully match the job description. We are always looking for team members that will bring something unique to Plaid! Plaid is proud to be an equal opportunity employer and values diversity at our company. We do not discriminate based on race, color, national origin, ethnicity, religion or religious belief, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, military or veteran status, disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state, and local laws. Plaid is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance with your application or interviews due to a disability, please let us know at accommodations@plaid.com. Please review our Candidate Privacy Notice here.

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Zoox’s internship program provides hands-on experiences with state of the art technology, mentorship from some of the industry's brightest minds, and the opportunity to play a part in our success. Internships at Zoox are reserved for those who demonstrate outstanding academic performance, activities outside their course work, aptitude, curiosity, and a passion for Zoox's mission. On the Developer Experience team,, you will build AI Agents and AI Workflows that enhance how developers and customers experience Zoox. You will apply LLMs to solve real problems that slow teams down or limit product quality. Your work will focus on reducing the time it takes developers to ship features, accelerating the triage of real-world incidents, improving the quality and consistency of multimodal datasets, and designing AI Agents that automate common engineering workflows end to end. If you enjoy solving user problems with LLMs, care about product impact, and like owning projects from idea to launch, you’ll fit right in.Requirements:Currently working towards a B.S., M.S., or advanced degree in a relevant engineering programMust be returning to school to continue your education upon completing this internshipGood academic standingAble to commit to a 12-week internship beginning in May or June of 2026.At least one previous industry internship, co-op, or project completed in a relevant areaAbility to relocate to the Bay Area, California for the duration of the internshipInterns at Zoox may not use any proprietary information they are working on as part of their thesis, any published work with their university, or to be distributed to anyone outside of ZooxQualifications:Proficiency in Python or C++Coursework or project experience in software development, demonstrating understanding of data structures and algorithmsFamiliarity with LLMs through coursework, personal projects, or hackathons Bonus Qualifications:Experience with prompt engineering or LLM APIs (OpenAI, Anthropic, AWS Bedrock)Contributions to open-source projectsExperience with vector databases or embedding modelsFamiliarity with developer tools (IDEs, debuggers, build systems) Compensation:The monthly salary range for this position is $5,500 to $9,500. Compensation will vary based on geographic location and level of education. Additional benefits may include medical insurance, and a housing stipend (relocation assistance will be offered based on eligibility). About ZooxZoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team. Follow us on LinkedIn AccommodationsIf you need an accommodation to participate in the application or interview process please reach out to accommodations@zoox.com or your assigned recruiter. A Final Note:You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.

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Zoox is transforming mobility with fully autonomous, electric vehicles designed from the ground up for a driverless future. Our mission is to make transportation safer, more sustainable, and accessible to everyone. At Zoox, innovation, collaboration, and a bold vision for the future drive everything we do. Zoox’s internship program offers hands-on experience with cutting-edge technology, mentorship from some of the industry’s brightest minds, and the opportunity to make meaningful contributions to real projects. We seek interns who demonstrate strong academic performance, engagement beyond the classroom, intellectual curiosity, and a genuine interest in Zoox’s mission. As an intern at Zoox, you’ll be working alongside those that architect, design and develop our state of art hardware and signal processing systems for enabling autonomous mobility. At Zoox, you’ll collaborate with a team of world class engineers with diverse backgrounds in areas such as AI and ML, robotics, and simulation. You’ll master new technologies while working on code, algorithm and research in your area so expertise to create and refine the key systems that move Zoox forward.  As an intern in the DSP team you will be working on design and implementation of signal processing and machine learning algorithms related to radars, depth cameras, lidars and audio subsystems. We are looking for curious and highly mathematical minds to work with us. Program RequirementsCurrently pursuing a B.S., M.S., or other advanced degree in a relevant engineering field.Plan to return to school after completing the internship.Maintain good academic standing.Available to commit to either a 12-week internship (beginning in May or June 2026), or a 6-month co-op.At least one prior industry internship, co-op, or relevant project experience.Willing and able to relocate to the Bay Area, California, for the duration of the internship.Interns may not use proprietary Zoox information in university theses, publications, or share it outside of Zoox.QualificationsProficiency in C, C++, Python and/or MatlabCourse work in Digital Signal Processing, Circuits and systems, Stochastic filtering, Probability and  Statistics, Random Signals and NoiseHands-on experience related to algorithm design in one or more areas related to radar and lidar processing. Ability to bring your best can-do attitude daily while solving hard problems with constraints  Bonus QualificationsExperience with Radar Signal Processing and understanding of the radar pipeline (ADC data, FFT, Range-Doppler maps, CFAR, angle-of-arrival estimation).Experience with processing 4D radar data or raw sensor data.HW and SW experience or research related to radar processing and/or radar perceptionExperience with machine learning techniques such as deep neural nets (DNN, CNN, LSTM-RNN, LLMs, VLMs, Transformers) and traditional statistical modeling/feature extraction techniques (GMM, HMM, NMF / spectrograms etc.)Compensation:The monthly salary range for this position is $6,500 to $9,500. Compensation will vary based on geographic location and level of education. Additional benefits may include medical insurance, and a housing stipend (relocation assistance will be offered based on eligibility). About ZooxZoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team. Follow us on LinkedIn AccommodationsIf you need an accommodation to participate in the application or interview process please reach out to accommodations@zoox.com or your assigned recruiter. A Final Note:You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.

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The Offline Driving Intelligence (ODIN) team at Zoox is leveraging the latest in AI to craft algorithms that understand the world. We leverage large models first offline and we devise a path of impact into our self-driving robot, enabling safe and efficient navigation in complex environments. As an engineer in the ODIN team, you will develop advanced multimodal large language models that enhance environmental understanding. You'll develop and fine-tune these models for off-vehicle analysis while working with the onboard team to deliver impact in our robotaxi platform, ensuring they can efficiently identify hazards and interpret driving restrictions with minimal latency. Working alongside world-class engineers and researchers, you'll leverage premium sensor data and cutting-edge infrastructure to validate your algorithms in real-world conditions, directly impacting productivity, safety and the capability of Zoox's autonomous system. In this role, You will...Lead the development of multimodal large language models that enhance our robotaxis' understanding of complex urban environmentsDesign effective model architectures and sophisticated training techniques, leveraging all the inputs from our sensor stack and the overall large scale data we have at Zoox.Drive end-to-end ML solutions from research to production, utilizing Zoox's extensive data pipelines and infrastructure to improve autonomous driving capabilitiesCollaborate with perception, planning, safety, and systems teams to integrate your models into the vehicle's decision-making pipelineValidate and optimize your solutions using real-world driving scenarios, directly contributing to the safety and reliability of Zoox's autonomous systemQualificationsMS or PhD in Computer Science, Machine Learning, or related technical fieldDemonstrated experience training and deploying large language models (LLMs)Experience building and maintaining ML training pipelines, including data preprocessing, model training, and evaluationProficiency in Python and ML libraries (PyTorch, NumPy) demonstrated through professional or research projectsExperience training with large scale datasets (e.g. tens of millions of videos)Bonus QualificationsPublications in top-tier conferences (CVPR, ICCV, RSS, ICRA)Experience with autonomous robotics systems 229,000 - 317,000 a yearAbout ZooxZoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team. Follow us on LinkedIn AccommodationsIf you need an accommodation to participate in the application or interview process please reach out to accommodations@zoox.com or your assigned recruiter. A Final Note:You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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Zoox is building the world's most advanced self-driving hardware and software solution. The efficiency demands of such a system require an expert fine tuning of both the compute hardware architecture as well as the algorithms and middleware that runs on it to achieve maximum throughput at the most optimal power levels.  The Software Performance team’s mission is to analyze, optimize and provide guidance to the software and hardware teams in order to meet the required specifications.    As a GPU performance software engineer within the Software Performance team, you will instrument, monitor, analyze and optimize GPU-based algorithms that are performance-critical for our solution. The scope for GPU usage ranges from traditional computer vision and deep learning architectures to complex geometric reasoning and multi-agent decision making. Your work will strongly influence design decisions of future compute platforms & resource allocation.In this role, you will: Build real-time instrumentation for performance monitoring (CPU, GPU, latency, memory) and develop offline benchmarking frameworks, tools, and scripts to evaluate & analyze performance at scale in CI/vehicle, and establish budgets for next-gen architectures.Analyze performance metrics to identify GPU hotspots and root causes, and propose and co-implement actionable solutions with component teams.Support teams on bringing serial algorithms to the GPU to maximize compute utilization and improve overall latency.Work as part of the Core team to design a middleware framework that promotes by default efficient and performant code development by maximizing CPU and GPU.QualificationsBS in computer science or related field and 7+ years of experience.Strong knowledge of CUDA as applied to recent GPU microarchitectures (e.g., Ampere, Blackwell) and experience debugging/optimizing GPU kernels using tools like Nsight.Strong knowledge of C++ and experience in large code bases, comfortable in Linux development environments.Experience in development, debugging, and profiling of complex multiprocess systems (e.g., robotic systems, game engines).Bonus QualificationsExperience with GPU kernel development in a real-time environment, including PTX-level programming, CPU SIMD instructions (e.g., AVX intrinsics), and custom CUDA layers with frameworks like TensorRT & XLA.Hands-on work with ML model optimization (post-training quantization, layer pruning, etc) or hand-tuning GPU kernels (in OpenGL, CUDA, RocM or similar).Proficiency with SQL, DataBricks, Looker, or other business intelligence tools. 217,000 - 307,000 a yearBase Salary Range There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. A sign-on bonus may be offered as part of the compensation package. The listed range applies only to the base salary. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position. Zoox also offers a comprehensive package of benefits, including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance.About ZooxZoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team. Follow us on LinkedIn AccommodationsIf you need an accommodation to participate in the application or interview process please reach out to accommodations@zoox.com or your assigned recruiter. A Final Note:You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.

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Do you enjoy applying machine learning to complex, real-world problems in autonomous vehicle testing? The Simulation Scenario Generation team is looking for a ML Engineer to enable next-generation scalable AV scenario creation workflows. This ranges from generating large-scale traffic simulations to extending our agentic AI system to assist in synthetic scenario creation from a natural language test specification. This role offers a unique chance to deliver immediate user impact while contributing to long-term AI-driven safety validation.In this role, you will:Contribute to tooling for AI-based scenario understanding and validation.Synthesize realistic AV simulation scenarios with dynamic (e.g., traffic) and static features.Integrate and validate LLMs/VLMs and implement other models for complex scenario generation workflows, leveraging techniques like agentic tool use. Collaborate directly with internal customers and partner teams to provide generative AI solutions for their test creation workflows.Directly contribute to the safety and reliability of Zoox's autonomous software.QualificationsMS or PhD in Computer Science, Machine Learning, or related field5+ years of industry experience in Machine LearningProficiency in Python and ML libraries (PyTorch, JAX, NumPy, etc.) demonstrated through professional or research projectsDemonstrated experience in transformer and diffusion architecturesPractical experience in dataset creation for fine-tuning, system integration of ML models into production, or optimization techniques for low-latency inference systemsBonus QualificationsFamiliarity with autonomous vehicles, robotics, and/or complex simulation environmentsHands-on experience in areas like program synthesis and/or formal methods/V&VRelevant publications in conferences (e.g., CVPR, ICCV, RSS, and/or ICRA) 233,000 - 290,000 a yearBase Salary Range There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. A sign-on bonus may be offered as part of the compensation package. The listed range applies only to the base salary. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position. Zoox also offers a comprehensive package of benefits, including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance.About ZooxZoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team. Follow us on LinkedIn AccommodationsIf you need an accommodation to participate in the application or interview process please reach out to accommodations@zoox.com or your assigned recruiter. A Final Note:You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.

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The Perception team at Zoox is fundamental to our autonomous vehicle technology, creating the understanding of the world for our self-driving robots. We enable safe and efficient navigation in complex environments through sophisticated detection, classification, and tracking systems. As a software engineer on the perception mapping team, you will be a key contributor to Zoox’s online mapping initiative. You will design, train, validate, and integrate into the stack ML models that detect semantic map elements in the world. Your work will touch on all aspects of ML development, including data gathering, labeling, training, validation, and onboard integration. Your work will enable important milestones to scaling and autonomy capabilities and will be critical to the success of Zoox.In this role, you will: Curate, validate, and label datasets for model training and validationResearch, implement, and train ML models to perform semantic map element detectionClosely collaborate with validation teams to formulate and execute model validation pipelinesIntegrate models into the greater onboard autonomy system within compute budgetsBe a technical leader on the team, maintaining coding and ML development best practices and contributing to architectural decisionsQualifications:MS or PhD or equivalent experience (5+ years) in Computer Science or related fieldExperience in computer vision or roboticsExperience with training and deploying deep learning modelsExperience with with Python libraries (pytorch, numpy)Bonus Qualifications: Experience with C++Experience with CUDA and/or GPU programmingExperience with mapping related ML techniques 242,000 - 290,000 a yearBase Salary Range There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. A sign-on bonus may be offered as part of the compensation package. The listed range applies only to the base salary. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position. Zoox also offers a comprehensive package of benefits, including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance.

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Our team designs, builds, and maintains software supporting the introspection of machine learning-based motion planners. We are responsible for developing introspection techniques and providing autonomy software engineers tooling used to understand and debug motion planning behavior.In this role, you will:Lead new initiatives to introspect the output of machine learning motion planning models. You will both utilize existing cutting edge techniques as well as develop novel introspection techniques.Design new architecture and implement new tools used to analyze machine learning model behavior.Collaborate with engineers on Perception, Prediction, Planning, Machine Learning Model, and Visualization teams to enable development of behavior improvements.QualificationsMS or PhD in Computer Science, Machine Learning, or a related field5+ years of industry experience in Machine Learning–experience building and maintaining ML training pipelines, including data preprocessing, model training, and evaluationProficiency in Python and ML libraries (PyTorch, NumPy, Jax)Strong understanding of Imitation and Reinforcement Learning concepts and motion planning search techniquesFamiliarity with common learned model introspection techniquesBonus QualificationsFamiliarity with autonomous vehicles or roboticsSolid understanding of LLM conceptsPublications in top-tier conferences (CVPR, ICCV, RSS, ICRA) 242,000 - 290,000 a yearBase Salary Range There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. A sign-on bonus may be offered as part of the compensation package. The listed range applies only to the base salary. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position. Zoox also offers a comprehensive package of benefits, including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance.