Find AI Work That Works for You

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Who we are:Our mission is to make the internet safer and more enjoyable for everyone. We combine state of the art AI technology and human judgment for best in class content detection, harm mitigation and safety monitoring. We are a VC-backed startup, founded by senior Google, YouTube, TikTok and Reddit executives, working with some of the world’s largest online platforms, and fast-moving startups. If you are looking for an opportunity to apply AI technology to real-world business use cases at a significant scale, and an opportunity to shape the future of how we can safely enjoy user generated online content, we’d love to hear from you.About the Role: We are seeking a Backend / Systems Engineer to help build a flexible, robust, and high-performance backend architecture that serves diverse use cases across customers and product lines. Your work will be critical in enabling our AI engineers, analysts, and data scientists to rapidly prototype, iterate, and deploy workflows, services and data pipelines that leverage large language models (LLMs).This is a high-impact role that blends backend engineering with thoughtful system design to accelerate product development and real-world impact.What You'll Do:Design and build extensible backend systems that support flexible configurations for different customers and content types.Develop infrastructure that interfaces cleanly with LLMs—enabling prompt engineering, context injection, and modular evaluation workflows.Build tooling and platforms that enable fast iteration by AI engineers and analysts, including declarative pipelines, parameterized jobs, and reproducible experiments.Prioritize ease of deployment, integration, and testing—both for internal teams and external partners.Collaborate closely with product, data, and policy teams to translate nuanced safety needs into scalable, maintainable software systems.What We’re Looking For:3+ years of experience in backend systems or infrastructure engineering.Strong software engineering skills in Python, Go, Java, or equivalent.Experience designing scalable APIs, backend systems and data pipelines.Familiarity with LLM-based systems (e.g., prompt management, context formatting, batch inference, prompt-tuning workflows).Strong understanding of cloud-native infrastructure (e.g., AWS, Lambda, Kubernetes, CI/CD pipelines).Passion for building systems that unlock velocity and experimentation for cross-functional teams.Nice to Have:Background in trust & safety, or content moderation.Familiarity with Django, Snowflake, React, Step functions.Experience with LLM-Ops and DevOps.Why Join Us?Work with a group of renown industry leaders in AI and Online Safety to shape the future of the industry.Ample opportunity and support for growth, as a technical individual contributor, or manager. Apply AI technology to real-world business use cases at a significant scale, with blue chip customersWork as part of a team where you can know everyone, but don’t have to do everyone’s job.Competitive compensation, comprehensive benefits, and hybrid in-office policy.Pay range is specific to the U.S. – Bay Area; compensation may differ by region.The pay range for this role is:150,000.00 - 250,000.00 USD per year (Palo Alto)

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About the roleWe’re looking for a talented and creative Software Engineer to join our Safety Engineering team at Character.AI! In this role, you will be at the forefront of designing, developing, and scaling robust backend systems and leveraging applied machine learning to tackle critical integrity and safety challenges. You will be architecting and implementing innovative solutions in a key role in addressing the unique safety challenges that come with human-to-AI interaction—bringing your technical expertise to the table as we define industry best practices in this emerging space. This is a high-impact role where you will provide technical leadership, drive innovation, and contribute to the core of our platform's trustworthiness. What you'll doArchitect & Build: Design, develop, and maintain highly scalable, resilient, and performant backend systems that power our integrity and safety features.Lead Complex Solutions: Lead the technical design and implementation of sophisticated backend solutions for detecting, preventing, and mitigating a wide array of integrity risks. This includes traditional issues (e.g., content classification, spam, etc.) as well as emerging threats related to Generative AI (e.g., misuse of generative models, generation of harmful or biased content, etc).Apply Machine Learning: Conceptualize, develop, deploy, and iterate on machine learning models and algorithms to address complex integrity challenges. This includes areas like content classification (including AI-generated content), anomaly detection, risk scoring, behavior analysis, and developing safeguards for Generative AI systems (e.g., robust content filtering, bias mitigation techniques, and output monitoring).Cross-Functional Collaboration: Work closely with product managers, data scientists, AI researchers, security teams, and operations to define requirements, design innovative solutions, and deliver impactful integrity systems, especially for Generative AI products.Technical Strategy & Roadmap: Drive the long-term technical vision and roadmap for backend integrity systems and applied ML capabilities, with a keen eye on addressing Generative AI safety concerns with an alignment with company objectives.Mentorship & Leadership: Provide technical guidance and mentorship to other engineers on the team and across the organization, fostering a culture of engineering excellence.Champion Best Practices: Advocate for and implement best practices in software engineering, distributed systems design, data engineering, and the full lifecycle of ML model development, including specific considerations for the safety and ethics of Generative AI.System Optimization: Continuously analyze and improve the performance, scalability, reliability, and cost-effectiveness of existing integrity platforms and ML models.Stay Current: Keep abreast of emerging threats, new technologies, and advancements in backend engineering, distributed systems, the application of machine learning to trust and safety, and the evolving landscape of Generative AI safety research and mitigation techniques. Who you are8+ years of professional software engineering experience, with a strong emphasis on backend systems development.Bachelor's, Master's, or PhD degree in Computer Science, Engineering, or a related technical field.Proven track record of designing, building, and operating complex, large-scale, and highly available distributed systems.Expertise in one or more backend programming languages such as Python, Go, Java, or C++.Hands-on experience in applying machine learning techniques to solve real-world problems, specifically with demonstrable experience in addressing integrity, trust, or safety challenges.Solid understanding of the machine learning lifecycle, including data gathering and cleaning, feature engineering, model selection, training, validation, A/B testing, deployment, and operational monitoring.Exceptional problem-solving abilities, with a knack for tackling ambiguous and technically challenging problems.Proven ability to work in a fast-paced development environment and deliver timely results.Strong communication, interpersonal, and leadership skills, with the ability to articulate complex technical concepts to diverse audiences. You will be a great fit if:You care deeply about Trust & Safety and see it as a value-add to the business Prior experience in a dedicated Trust & Safety, Integrity, or Risk engineering team.Contributions to open-source projects or publications in relevant fields.Experience leading large, cross-cutting technical projects.About Character.AICharacter.AI empowers people to connect, learn and tell stories through interactive entertainment. Over 20 million people visit Character.AI every month, using our technology to supercharge their creativity and imagination. Our platform lets users engage with tens of millions of characters, enjoy unlimited conversations, and embark on infinite adventures. In just two years, we achieved unicorn status and were honored as Google Play's AI App of the Year—a testament to our innovative technology and visionary approach. Join us and be a part of establishing this new entertainment paradigm while shaping the future of Consumer AI! At Character, we value diversity and welcome applicants from all backgrounds. As an equal opportunity employer, we firmly uphold a non-discrimination policy based on race, religion, national origin, gender, sexual orientation, age, veteran status, or disability. Your unique perspectives are vital to our success.

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About xAI xAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company’s mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All engineers and researchers are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates.About the Team The Reasoning Efficiency team at xAI focuses on pushing the boundaries of cost-efficient intelligence.   About the Role In this role you will: Build the next generation of Multimodal Grok that excels at reasoning, tool usage to solve challenging problems Work across the LLM stack (pre-training, SFT, RL) to deliver the strongest model for end users Exceptional candidates may have: Experience or publications in (multimodal) large language models (data / training algorithm / architecture) Exceptional engineering skills to iterate quickly on the data processing and training pipelines Strong understanding of large language model and data Deep knowledge of reinforcement learning techniques Location We hire engineers in Palo Alto. Our team usually works from the office 5 days a week but allow work-from-home days when required. Candidates are expected to be located near Palo Alto or open to relocation. Interview Process After submitting your application, the team reviews your CV and statement of exceptional work. If your application passes this stage, you will be invited to a 15-minute interview (“phone interview”) during which a member of our team will ask some basic questions. If you clear the initial phone interview, you will enter the main process, which consists of four technical interviews: Coding assessment in a language of your choice. 2x post-training technical sessions: These sessions will be testing your ability to formulate, design and solve concrete problems in training data for post-training. Meet the Team: Present your past exceptional work and your vision with xAI to a small audience. Our goal is to finish the main process within one week. All interviews will be conducted via Google Meet. Annual Salary Range $180,000 - $440,000 USDxAI is an equal opportunity employer. California Consumer Privacy Act (CCPA) Notice

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About xAI xAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company’s mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All engineers and researchers are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates.About the Team The AI Expert team strives to make AI models excellent in scientific and professional domains, such as math, engineering, biology, medicine, and finance. This team will build AI experts in an end-to-end manner, including building model evaluation, curating training data, and developing training recipes. About the Role In this role you might: Innovate next-generation RL algorithms to unleash AI abilities in open-ended science research and real-world professional work. Build evaluation for AI models in expert domains Build RL data infrastructure and generate training data. Exceptional candidates may have: Strong engineering abilities Experience with data collection and data generation for LLMs Optional: Experiences with cross-domain experiences Location We hire engineers in Palo Alto. Our team usually works from the office 5 days a week but allow work-from-home days when required. Candidates are expected to be located near Palo Alto or open to relocation. Interview Process After submitting your application, the team reviews your CV and statement of exceptional work. If your application passes this stage, you will be invited to a 15-minute interview (“phone interview”) during which a member of our team will ask some basic questions. If you clear the initial phone interview, you will enter the main process, which consists of four technical interviews: Coding assessment in a language of your choice. 2x post-training technical sessions: These sessions will be testing your ability to formulate, design and solve concrete problems in training data for post-training. Meet the Team: Present your past exceptional work and your vision with xAI to a small audience. Our goal is to finish the main process within one week. All interviews will be conducted via Google Meet. Annual Salary Range $180,000 - $440,000 USDxAI is an equal opportunity employer. California Consumer Privacy Act (CCPA) Notice

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About xAI xAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company’s mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All engineers and researchers are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates.About the Team The Grok Code Team at xAI focuses on pushing the boundaries of Software Engineering where AI is in the front and centre of the full developer loop. About the Role In this role you will: You will build the best in class Coding Agents focussing on building the best in class Software Engineering stack which is AI first and AI native. Work across the LLM stack (reasoning RL, product building, dataset generation, evals) to deliver the best product experience for users. Work closely with the research team and help drive model development and feedback loops to optimise both the model behavior and user experience and satisfaction Exceptional candidates may have: Experience in developer tooling with AI first mindset for the changing world. Exceptional engineering skills to iterate quickly on the data processing and product features Strong understanding of large language model and how to best leverage them for AI assisted software development Deep knowledge and “taste” in software developer tooling Location We hire engineers in Palo Alto. Our team usually works from the office 5 days a week but allow work-from-home days when required. Candidates are expected to be located near Palo Alto or open to relocation. Interview Process After submitting your application, the team reviews your CV and statement of exceptional work. If your application passes this stage, you will be invited to a 15-minute interview (“phone interview”) during which a member of our team will ask some basic questions. If you clear the initial phone interview, you will enter the main process, which consists of four technical interviews: Coding assessment in a language of your choice. 2x post-training technical sessions: These sessions will be testing your ability to formulate, design and solve concrete problems in training data for post-training. Meet the Team: Present your past exceptional work and your vision with xAI to a small audience. Our goal is to finish the main process within one week. All interviews will be conducted via Google Meet. Annual Salary Range $180,000 - $440,000 USDxAI is an equal opportunity employer. California Consumer Privacy Act (CCPA) Notice

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Figure is an AI robotics company based in San Jose, CA, developing a general-purpose humanoid robot to address labor shortages and perform undesirable or unsafe tasks. We require 5 days/week in-office collaboration. Join our team as a Battery Design Validation Test Engineer develop and test advanced battery packs for humanoid robots, working closely with cross-functional teams to ensure performance, safety, and reliability. Responsibilities Design and develop test plans and validation assessments for humanoid battery systems and components. Validate battery performance, lifespan, safety, and reliability under various conditions (e.g., temperature, humidity, vibration, shock). Create test documentation, including protocols, DUT specifications, equipment specs, and instrumentation details. Conduct mechanical, thermal, and electrical tests on battery cells and packs, both in-house and with external labs. Design and modify test fixtures and instrumentation for battery testing. Analyze test data and provide detailed reports and insights. Identify and communicate battery failure modes to designers, validation, and manufacturing engineers. Collaborate with vendors to source, install, and commission test equipment. Instrument battery packs with sensors (e.g., thermocouples, pressure sensors, strain gauges, accelerometers). Manage data acquisition, logging, and post-processing. Work with technicians to facilitate instrumentation, build and test execution. Write scripts for manual and automated testing using cyclers and chambers. Develop and enforce strict safety protocols during testing. Maintain lab equipment, perform calibrations, and troubleshooting issues. Requirements Minimum 2 years of experience in battery or related industrial fields. Expertise in high-voltage battery testing, including cycling and electrical/thermal performance, particularly with Li-ion chemistry. Proficiency in instrumenting battery packs and managing data acquisition systems. Strong skills in writing/validating test scripts, analyzing data, and presenting results. Experience with programming/scripting languages (e.g., MATLAB, Simulink, Python, SQL, LabVIEW). Bachelor’s or Master’s degree in Mechanical, Electrical, Materials Science, or a related field. Willingness to travel up to ~35% domestically and/or internationally. Bonus Qualifications Knowledge of battery management systems. Familiarity with CAN bus communication systems. Understanding of battery safety and compliance standards (e.g., UL, IEC, SAE). Expertise in measuring cell properties and electrochemical performance. Experience developing and executing battery safety and abuse testing including multi-cell thermal runaway, short-circuit, puncture and drop. Experience with cell teardown, CT scans, and other lithium-ion battery analysis tools. Proficiency in 3D CAD (e.g., CATIA V6) for designing test fixtures. The US base salary range for this full-time position is between $120,000 - $160,000 annually. The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience. The total compensation package may also include additional components/benefits depending on the specific role. This information will be shared if an employment offer is extended.   

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About ElevenLabs At ElevenLabs, we are pioneering voice technology with our cutting-edge research and products. We launched in January 2023 and have since reached over 1 million users globally and have partnered with the world’s biggest names (see customer stories). We closed our Series-C funding at a 3.3B valuation at the beginning of this year and are backed by the leading names in tech and AI (a16z, ICONIQ, NEA, Sequoia, NFDG, Salesforce, and many others).We are at an exciting phase of our growth and innovation and are looking for ambitious people to help us further push the boundaries of voice AI. This is a rare chance to be an early member of a company on the rise. If this excites you, we want to meet you! Who we areA global team of passionate and innovative individuals united by curiosity and a shared goal: to be the first choice for AI audio solutions. Together, we are shaping a new technology and market from the ground up. We innovate quickly and take pride in getting things right, from the big picture initiatives to the details that keep us moving smoothly every day. We work with high autonomy and accountability where the best idea wins at any time and from anyone. About the roleWe care deeply about SEO. It drives 1+ million users per month to our site, millions of dollars in revenue, and we have an authority score of 69 on SEMRush. However, we're in a huge market that's expanding rapidly, and we've only scratched the surface of what's possible. Now is a critical time for us to scale our content creation efforts to capture more of this opportunity.We're hiring an SEO Content Creator to establish ElevenLabs as the thought leader in AI Audio through strategic, SEO-optimized content creation. You'll create compelling blog posts, use cases, case studies, and landing page copy that not only educates and engages our diverse user base but also drives organic search visibility and traffic growth.Each new product we launch or foundational model we release unlocks thousands more content opportunities. For example, with our Text to Speech models, we need content covering user journeys, use case deep-dives, and educational blog posts that rank for competitive keywords. Now expand this to Voice Changers, Dubbing, Speech to Text, and many more products on our roadmap.You'll work closely with our SEO & Growth team to understand keyword opportunities, search intent, and content gaps. This role combines excellent writing skills with SEO strategy to create content that performs both for users and search engines.Who you areWe're looking for exceptional individuals who combine technical excellence with ethical awareness, who are excited by hard problems and motivated by human impact. You’ll thrive with us if you: Are passionate about audio AI driven by a desire to make content universally accessible and breaking the frontiers of new tech.  Are a highly motivated and driven individual with a strong work ethic. Our team is aware of this critical moment of audio AI evolution and is committed to going the extra mile to lead. Are analytical, efficient, and strive on solving complex challenges with a first principles mindset. Consistently strive for excellence, delivering high-quality work quickly and exceeding expectations.Take initiative and work autonomously from day one, prioritizing learning and contribution while leaving ego aside.What you bringMust have:Excellent copywriting skills with a portfolio demonstrating content that has driven measurable SEO resultsStrong understanding of SEO fundamentals: keyword research, search intent, on-page optimization, and content strategyExperience creating content that ranks for competitive keywords and drives organic traffic growthProven ability to write for different audiences and content types (blog posts, case studies, landing pages, use cases)Experience using AI tools and LLMs to scale content creation while maintaining quality and brand voiceStrong analytics/data sense to track content performance and iterate based on resultsAn interest and understanding of the latest happenings in AI and techNice to have:Experience scaling content creation at a high-growth tech companyFamiliarity with SEO tools (SEMRush, Ahrefs, etc.) and content management systemsBackground in B2B SaaS or AI/ML content creationAbility to conduct investigative interviews with team members and customers for case studies and insightsBasic understanding of programmatic content and how to work with technical teamsWhat we offerHigh-velocity innovation: Rapid experimentation, lean autonomous teams, and minimal bureaucracy.A truly global team: Collaboration with teammates across 30+ countries, a global customer footprint and office hubs in New York, London and Warsaw. Annual company offsite for the whole team to get together (the last one in Croatia!) Remote first: We prioritize your talent, not your location, with structured asynchronous workflows for maximum impact and minimal meetings.Continuous growth: Collaborate with AI leaders, shape your path, and contribute where you excel most.#LI-Remote

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About Rad AIAt Rad AI, we’re on a mission to transform healthcare with artificial intelligence. Founded by a radiologist, our AI-driven solutions are revolutionizing radiology—saving time, reducing burnout, and improving patient care. With one of the largest proprietary radiology report datasets in the world, our AI has helped uncover hundreds of new cancer diagnoses and reduced error rates in tens of millions of radiology reports by nearly 50%.Rad AI has secured over $140M in funding, including a recently oversubscribed Series C ($68M round) led by Transformation Capital, bringing our valuation to $528M. Our investors include Khosla Ventures, World Innovation Lab, Gradient Ventures, Cone Health Ventures, and others—all backing our mission to empower physicians with cutting-edge AI.Our latest advancements in generative AI are used by thousands of radiologists daily, supporting more than one-third of radiology groups and healthcare systems and nearly 50% of all medical imaging in the U.S. at partners including Cone Health, Jefferson Einstein Health, Geisinger, Guthrie Healthcare System, and Henry Ford Health.Recognized as one of the most promising healthcare AI companies by CB Insights and AuntMinnie, and ranked by Deloitte as the 19th fastest-growing company in North America, we are building AI-powered solutions that make a real impact. Most recently, Rad AI was named to CNBC’s Disruptor 50 list, highlighting the innovation and momentum behind our mission.If you’re ready to shape the future of healthcare, we’d love to have you on our team!Why Join Us:Comprising both radiology and AI expertise, Rad AI's stellar team builds products that maximize radiologist productivity, ultimately making healthcare more widely accessible and improving patient outcomes. Join our team and help us make a positive impact on radiology, patient lives, and healthcare around the world.We’re looking for an Implementation Manager with experience leading software implementation projects. Rad AI’s award-winning software has experienced tremendous market growth. We are looking for a teammate with a “can do'' attitude that is adaptable in a fast-paced, high-growth team.  This role will report up through the Vice President of Implementation.What You’ll Be Doing:Work independently to plan, monitor, and manage multiple complex customer-facing projectsLead the end-to-end delivery of Rad AI’s products to radiology practices and health systems, from kick-off to go-live and transition to supportFacilitate Discovery sessions to understand client workflows, requirements, and success criteriaDevelop detailed project plans, including timelines, milestones, and resource needsCoordinate cross-functional teams, including Product, Engineering, and Integration resources, to meet project objectives and deadlinesServe as the primary client-facing contact throughout the implementationEnsure a smooth onboarding process by managing project timelines, dependencies, and communications with executive, clinical, and IT stakeholdersTrack and manage feature requests, ensuring clear communication, documentation, and prioritizationMonitor project health, proactively identify risks, and escalate blockers, as neededIssue resolution and mitigation strategies based on data-driven decision makingConduct weekly status meetings with internal and external stakeholdersCollaborate and coordinate with Rad AI’s product, engineering, and customer success teams for project goal setting, data integration, testing, and product feedbackProvide ongoing updates to leadership throughout the project, via dashboards and reportsPartner with cross-functional teams, including Support and Client Success, to ensure customers are prepared for go-live and long-term successSuggest process improvements and help with maintaining onboarding templates, documentation, and best practicesContribute to building a world-class implementation organization that aims to exceed customer expectations with attentive, responsive, and knowledgeable serviceWho We’re Looking For:At least 2 plus years of relevant project management, implementation management, technical project management, or similar client-facing experience, preferably within a healthcare/healthcare IT environmentStrong project planning and execution skills, including timeline, scope, and risk managementExcellent people/relationship management and communication skills, with the ability to hold others accountablePractical working knowledge of SaaS solutions, implementations, and technical conceptsEagerness to continuously learn, adapt, improve, and help others do so in a fast-paced, ever-changing environmentAbility to build and maintain relationships with all functions and areas of the company to share in challenges and successes, and work collaboratively towards common goalsProficiency with project management toolsNice to Haves:Bachelor’s degree or abovePrior experience or familiarity with radiology workflows and/or radiology-specific healthcare ITGrowth stage scale startup experiencePrior professional consulting or healthcare software implementation experiencePrior experience or familiarity with radiology workflowsPrior experience or familiarity with HL7, FHIR, and EHRsJoin our world-class team as we build and deploy AI solutions that empower physicians and transform patient care—making a meaningful impact on millions of lives. Driven by our mission,  we prioritize transparency, inclusion, and close collaboration, bringing together exceptional people to revolutionize healthcare. If you're passionate about driving innovation and delivering impactful healthcare solutions, we'd love to hear from you!For US-Based Full-Time Roles, Rad AI offers a variety of benefits, including:Comprehensive Medical, Dental, Vision & Life insuranceHSA (with employer match), FSA, & DCFSA 401(k)11 Paid Company HolidaysLocation Flexibility (Remote-first company!)Flexible PTO policyAnnual company-wide offsitePeriodic team offsitesAnnual equipment stipendFor roles based outside the US, your recruiter can share more detailsAt Rad AI, we value diversity and provide equal employment opportunities (EEO) to all employees and applicants without regard to race, color, religion, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance. Please be vigilant regarding job scams. We advise all candidates to apply directly through our official careers page. Our recruiters will use email addresses with the domain @radai.com or no-reply@ashbyhq.com.

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About xAI xAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company’s mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All engineers and researchers are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates.About the Team The Reasoning Efficiency team at xAI focuses on pushing the boundaries of cost-efficient intelligence. About the Role In this role you will: Build the next generation of Grok Mini - highly efficient reasoning models with frontier-level performance  Innovate scalable techniques to maximize intelligence per dollar Work across the LLM stack (reasoning RL, pretraining, serving) to deliver the strongest model for end users Exceptional candidates may have: Experience or publications in efficient algorithms for large language models (data / training algorithm / architecture) Exceptional engineering skills to iterate quickly on the data processing and training pipelines Strong understanding of large language model scaling laws  Deep knowledge of reinforcement learning techniques Location We hire engineers in Palo Alto. Our team usually works from the office 5 days a week but allow work-from-home days when required. Candidates are expected to be located near Palo Alto or open to relocation. Interview Process After submitting your application, the team reviews your CV and statement of exceptional work. If your application passes this stage, you will be invited to a 15-minute interview (“phone interview”) during which a member of our team will ask some basic questions. If you clear the initial phone interview, you will enter the main process, which consists of four technical interviews: Coding assessment in a language of your choice. 2x post-training technical sessions: These sessions will be testing your ability to formulate, design and solve concrete problems in training data for post-training. Meet the Team: Present your past exceptional work and your vision with xAI to a small audience. Our goal is to finish the main process within one week. All interviews will be conducted via Google Meet. Annual Salary Range $180,000 - $440,000 USDxAI is an equal opportunity employer. California Consumer Privacy Act (CCPA) Notice

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About xAI xAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company’s mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All engineers and researchers are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates.About the Role As an AI Engineer & Researcher - Product Analytics & Experimentation Design at xAI, you will be at the forefront of transforming user feedback and behavioral data into actionable insights that drive rapid product evolution. This role combines deep expertise in mathematics, statistics, and creative problem-solving to dissect complex, noisy signals from our AI systems—such as production logs, user interactions, and engagement metrics—without directly training models. You'll design clever experiments to test hypotheses, quantify what users love or loathe about our products, and recommend precise course corrections to enhance satisfaction and performance. By accelerating iteration cycles through smart experimentation, you'll empower our teams to make data-informed decisions that keep our AI at the cutting edge of user delight. Focus User Insight Extraction: Dive into production logs and behavioral data to identify patterns of dissatisfaction, using mathematical and statistical tools to distill why users may not engage with or appreciate aspects of our AI models. Experimentation Design: Craft and execute fast-paced experiments, such as A/B tests or multivariate trials, to validate hypotheses on product features and measure their impact on user experience. Noisy Signal Analysis: Apply advanced stats and creative analytical techniques to interpret ambiguous data streams, uncovering hidden correlations and causal factors that inform product improvements. Actionable Recommendations: Synthesize findings into clear, evidence-based strategies for product decisions, prioritizing quick wins and long-term enhancements to boost model usability and appeal. Rapid Iteration: Optimize experimentation pipelines for speed, enabling frequent testing and refinement cycles that allow the team to pivot based on real-time user signals and evolving needs. Ideal Experience Mathematical and Statistical Mastery: Profound skills in math, probability, statistics, and inference, with a proven ability to apply them creatively to real-world problems in dynamic tech environments. Experimentation Expertise: Hands-on experience designing and analyzing product experiments (e.g., A/B testing, causal inference), with a track record of accelerating iteration in AI or software products. Analytical Creativity: Demonstrated talent for teasing insights from noisy, high-volume data sources like logs and metrics, leading to innovative solutions that address user pain points without model training. Product Decision Support: Background in using data-driven methods to guide strategic choices, such as identifying suboptimal features and proposing fixes in fast-paced settings. Collaborative Agility: 3+ years in AI engineering or research roles at innovative companies, where you've balanced technical rigor with creative thinking to deliver quick, impactful iterations. Location We hire engineers in Palo Alto. Our team usually works from the office 5 days a week but allow work-from-home days when required. Candidates are expected to be located near Palo Alto or open to relocation. Interview Process After submitting your application, the team reviews your CV and statement of exceptional work. If your application passes this stage, you will be invited to a 15-minute interview (“phone interview”) during which a member of our team will ask some basic questions. If you clear the initial phone interview, you will enter the main process, which consists of four technical interviews: Coding assessment in a language of your choice. 2x post-training technical sessions: These sessions will be testing your ability to formulate, design and solve concrete problems in training data for post-training. Meet the Team: Present your past exceptional work and your vision with xAI to a small audience. Our goal is to finish the main process within one week. All interviews will be conducted via Google Meet. Annual Salary Range $180,000 - $440,000 USDxAI is an equal opportunity employer. California Consumer Privacy Act (CCPA) Notice

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About xAI xAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company’s mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All engineers and researchers are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates.About the Role As an AI Engineer & Researcher - HCI / Model Designer at xAI, you will play a pivotal role in bridging the gap between cutting-edge AI models and exceptional user experiences. This position sits at the intersection of human-computer interaction (HCI), AI engineering, and model design, where you'll collaborate with cross-functional teams to reimagine how users engage with our AI systems. Your work will focus on elevating the intuitiveness, clarity, and delight of interactions, ensuring that complex AI capabilities are presented in ways that feel natural, insightful, and empowering. With a keen eye for user-centric design, you'll iterate on interfaces, information architectures, and visualization techniques to make our models more accessible and transparent—ultimately helping users unlock the full potential of AI in their daily lives. Focus Enhance User Interactions: Design and implement intuitive interfaces that improve how users query, receive, and iterate on responses from our AI models, prioritizing seamless and engaging experiences. Information Organization and Display: Develop strategies for structuring and presenting AI-generated content, ensuring clarity, hierarchy, and relevance to help users quickly grasp key insights without overwhelm. Innovate on Agent Transparency: Create novel ways to visualize and convey the internal reasoning processes of AI agents, such as step-by-step thought traces or dynamic feedback loops, to build trust and understanding. Prototyping and Iteration: Rapidly prototype new HCI features for AI interfaces, incorporating user feedback and A/B testing to refine how models deliver value in real-world scenarios. Cross-Disciplinary Collaboration: Work closely with AI researchers, engineers, and product teams to integrate HCI principles into model training and deployment, fostering innovations that align technical capabilities with human needs. Ideal Experience HCI and UX Expertise: Proven track record in human-computer interaction, user experience design, or related fields, with a portfolio demonstrating high-taste designs for complex systems—ideally in AI or tech products. AI/ML Engineering Background: Hands-on experience building or fine-tuning AI models (e.g., LLMs, agents), combined with skills in software engineering (Python, frontend frameworks like React) to prototype and deploy interactive AI features. Research Acumen: Experience conducting user studies, A/B experiments, or HCI research, with publications or projects in areas like AI explainability, information visualization, or conversational interfaces. Creative Problem-Solving: Demonstrated ability to innovate on information display and agent transparency, such as designing tools for reasoning visualization or adaptive UIs, with a strong aesthetic sense for what "feels right" to users. Collaborative Mindset: 3+ years in fast-paced environments, preferably at AI startups or tech companies, where you've balanced technical depth with user empathy to deliver impactful solutions. Location We hire engineers in Palo Alto. Our team usually works from the office 5 days a week but allow work-from-home days when required. Candidates are expected to be located near Palo Alto or open to relocation. Interview Process After submitting your application, the team reviews your CV and statement of exceptional work. If your application passes this stage, you will be invited to a 15-minute interview (“phone interview”) during which a member of our team will ask some basic questions. If you clear the initial phone interview, you will enter the main process, which consists of four technical interviews: Coding assessment in a language of your choice. 2x post-training technical sessions: These sessions will be testing your ability to formulate, design and solve concrete problems in training data for post-training. Meet the Team: Present your past exceptional work and your vision with xAI to a small audience. Our goal is to finish the main process within one week. All interviews will be conducted via Google Meet. Annual Salary Range $180,000 - $440,000 USDxAI is an equal opportunity employer. California Consumer Privacy Act (CCPA) Notice

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YOUR MISSION: As a Senior Backend Engineer at Parloa, you will have a crucial role in helping us build the leading enterprise solution for automated dialogs. You will be actively involved in improving our tools and processes to support collaboration and productivity as well as in cultivating an environment where we can all learn and grow. IN THIS ROLE YOU WILL: Design and develop efficient backend solutions based on Node.js/Typescript running containerized as highly scalable applications in Kubernetes clusters. Evaluate new technologies and their integration into our current codebase in the form of research sprints. Share your technical knowledge with your peers, so the whole team can benefit from each other’s experiences. Actively exchange code review feedbacks with other software engineers, considering both style and implementation.   Our Tech stack: React/Redux, TypeScript, NodeJS, Inversify, NestJS, Lerna, Koa, Jest, Kubernetes, Docker, MongoDB, Redis   WHAT YOU BRING TO THE TABLE: Proficiency in backend engineering that you have mastered during your 7+ years of work experience. Passion for writing clean and modular code that is easy to maintain, update, test and scale. Solid work experience with OOP-Typescript, NodeJS, MongoDB, and Docker. Eagerness to take ownership of a task from inception to completion without losing focus of the business context. WHAT'S IN IT FOR YOU? Join a diverse team of 40+ nationalities with flat hierarchies and a collaborative company culture. Opportunity to build and scale your career at the intersection of customer-facing roles and engineering in a dynamic startup on its journey to become an international leader in SaaS platforms for Conversational AI. Deutschland ticket, Urban Sports Club, Job Rad, Nilo Health, weekly sponsored office lunches Competitive compensation and equity package. Flexible working hours, 28 vacation days and workation opportunities. Access to a training and development budget for continuous professional growth. Regular team events, game nights, and other social activities. Hybrid work environment. However, we love to build real connections and want to welcome everyone in our beautiful Berlin office on certain days. Your recruiting process at Parloa: Recruiter video call → Engineering Manager Interview → Live Coding Interview → Architecture interview → Bar Raiser Interview    Why Parloa?  Parloa is one of the fastest growing startups in the world of Generative AI and customer service. Parloa’s voice-first GenAI platform for contact centers is built on the best AI technology to automate customer service with natural-sounding conversations for outstanding experiences on all communication channels. Leveraging natural language processing (NLP) and machine learning, Parloa creates intelligent phone and chat solutions for businesses that turn contact centers into value centers by boosting customer service efficiency. The Parloa platform resolves the majority of customer queries quickly and automatically, allowing human agents to focus on complex issues and relationships. Parloa was founded in 2018 by Malte Kosub and Stefan Ostwald and today employs over 400+ people in Berlin, Munich, and New York. When you join Parloa, you become part of a dynamic and innovative team made up of over 34 nationalities that’s revolutionizing an entire industry. We’re passionate about growing together and creating opportunities for personal and professional development. With our recent $120 million Series C investment, we’re expanding globally and looking for talented individuals to join us on this exciting journey. Do you have questions about Parloa, the role, or our team before you apply? Please feel free to get in touch with our Hiring Team. Parloa is committed to upholding the highest data protection standards for our clients' and employees' data. All our employees are instrumental in ensuring the utmost care, GDPR, and ISO compliance, including ISO 27001, in handling sensitive information. * We provide equal opportunities to all qualified applicants regardless race, gender, sexual orientation, age, religion, national origin, disability status, socioeconomic background and other characteristics.

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YOUR MISSION: As a Senior Backend Engineer (f/m/d)* on the Evaluations Platform team you will collaborate with Engineers, Scientists, and Product, building Parloa’s Evaluations Platform - enabling our customers to simulate agent behavior in custom scenarios and evaluate and monitor AI Agent behavior and performance both in simulations and production. You will be actively involved in improving our tools and processes to support collaboration and productivity as well as in cultivating an environment where we can all learn and grow. Parloa has an office first hybrid in-office policy. Our team is usually in the office 2 to 3 days a week.  IN THIS ROLE YOU WILL: Work on our brand new LLM functionality to improve the customer service experience for millions of customers. Execute and lead projects end-to-end, including: collaborating with a product manager to understand user-facing requirements, leading architecture and system design, and non-functional requirements such as security, monitoring, & logging. Design, build, and maintain secure and scalable backend services in Python. Optimize system performance for low latency, high throughput, and reliability. Collaborate across teams to integrate machine learning components into production systems. Lead technical initiatives - design, planning, implementation, and maintenance (3-9 months horizon). Drive initiatives to improve operational excellence. Contribute to the evolution of our architecture and engineering culture. Our Tech stack: LLMs: OpenAI and other LLM-as-a-Service providers, Prompt engineering, LLM finetuning FastAPI, MongoDB, MySQL, Redis, Kafka, Terraform Docker, Helm, ArgoCD, Kubernetes Python, TensorFlow, PyTorch, scikit-learn for efficient implementation WHAT YOU BRING TO THE TABLE: 7+ years of experience as a backend engineer Experience with highly scalable real-time micro-service architecture.  Passion for writing clean and modular code that is easy to maintain, update, test and scale. Experience with version control systems, code review processes, and CI/CD pipelines. Experience with owning the Backend service development process end-to-end: from gathering requirements to design to support and continuous improvement, monitoring and maintenance. Experience in leading medium-sized technical projects (3-9 months roadmap) Proficiency in Python. Strong spoken and written communication skills in English. NICE TO HAVE: Some ML experience and a grasp of popular ML libraries and frameworks WHAT'S IN IT FOR YOU? Join a diverse team of 40+ nationalities with flat hierarchies and a collaborative company culture. Opportunity to build and scale your career at the intersection of customer-facing roles and engineering in a dynamic startup on its journey to become an international leader in SaaS platforms for Conversational AI. Deutschland ticket, Urban Sports Club, Job Rad, Nilo Health and other benefits. Competitive compensation and equity package. Flexible working hours, 28 vacation days and workation opportunities. Access to a training and development budget for continuous professional growth. Regular team events, game nights, and other social activities. Work from home and/or our beautiful office in the heart of Berlin with adjustable desks, social areas, fresh fruits, cereals, and drinks. Hybrid work environment. However, we love to build real connections and want to welcome everyone in our beautiful Berlin office on certain days. Your recruiting process at Parloa: Recruiter video call → Engineering Manager Interview → Live Coding Challenge → Architecture Interview → Bar Raiser Interview    Why Parloa?  Parloa is one of the fastest growing startups in the world of Generative AI and customer service. Parloa’s voice-first GenAI platform for contact centers is built on the best AI technology to automate customer service with natural-sounding conversations for outstanding experiences on all communication channels. Leveraging natural language processing (NLP) and machine learning, Parloa creates intelligent phone and chat solutions for businesses that turn contact centers into value centers by boosting customer service efficiency. The Parloa platform resolves the majority of customer queries quickly and automatically, allowing human agents to focus on complex issues and relationships. Parloa was founded in 2018 by Malte Kosub and Stefan Ostwald and today employs over 400+ people in Berlin, Munich, and New York. When you join Parloa, you become part of a dynamic and innovative team made up of over 34 nationalities that’s revolutionizing an entire industry. We’re passionate about growing together and creating opportunities for personal and professional development. With our recent $120 million Series C investment, we’re expanding globally and looking for talented individuals to join us on this exciting journey. Do you have questions about Parloa, the role, or our team before you apply? Please feel free to get in touch with our Hiring Team. Parloa is committed to upholding the highest data protection standards for our clients' and employees' data. All our employees are instrumental in ensuring the utmost care, GDPR, and ISO compliance, including ISO 27001, in handling sensitive information. * We provide equal opportunities to all qualified applicants regardless race, gender, sexual orientation, age, religion, national origin, disability status, socioeconomic background and other characteristics.

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YOUR MISSION: At Parloa, we’re on a mission to transform real-time customer interactions through a new generation of agentic AI. Our platform powers intelligent agents that automate complex voice and chat conversations at scale. As an engineer, you’ll take on meaningful challenges — from distributed systems to low-latency pipelines — and help solve problems the industry hasn’t cracked yet. Join us to build AI that doesn’t just respond — it understands, decides, and acts. As a Senior Backend Engineer (f/m/d)* on the Skills team you will work on a marketplace of tools and integrations which Parloa's agents leverage via MCP. Managed access to business systems dramatically increases their value while controlling for security and risk. You haven't worked with our stack? That's fine! We would love to get in touch as long as you are open to learn and code in Typescript. Parloa has an office-first approach. Our team is usually in the office 2-3 days a week.  IN THIS ROLE YOU WILL: Design, build, and maintain secure and scalable backend services Optimize system performance for low latency, high throughput, and reliability Collaborate across teams to integrate machine learning components into production systems Lead technical initiatives - design, planning, implementation, and maintenance (3-9 months horizon) Drive initiatives to improve operational excellence Contribute to the evolution of our architecture and engineering culture Our Tech stack: Typescript, NodeJS, OpenAI, Microsoft Azure, Kubernetes, Docker, Terraform, MongoDB, MySQL, Redis, Kafka, MCP   WHAT YOU BRING TO THE TABLE: 7+ years of experience as a software engineer Experience in Typescript, Node (ideally NestJS); or experience with comparable frameworks in other languages, and a willingness to learn and code in Typescript Experience with developing and maintaining highly scalable and reliable microservices Deep understanding of distributed systems, event-driven architectures, and APIs Experience with cloud-native infrastructure (e.g., Kubernetes, GCP/AWS) A bias for action, strong ownership, and a passion for clean, pragmatic code Experience in leading technical projects  (3-9 months horizon) Strong spoken and written communication skills in English Curiosity and openness to work with AI-assisted coding tools WHAT'S IN IT FOR YOU? Join a diverse team of 40+ nationalities with flat hierarchies and a collaborative company culture. Opportunity to build and scale your career at the intersection of customer-facing roles and engineering in a dynamic startup on its journey to become an international leader in SaaS platforms for Conversational AI. Deutschland ticket, Urban Sports Club, Job Rad, Nilo Health, weekly sponsored office lunches Competitive compensation and equity package. Flexible working hours, 28 vacation days and workation opportunities. Access to a training and development budget for continuous professional growth. Regular team events, game nights, and other social activities. Hybrid work environment. However, we love to build real connections and want to welcome everyone in our beautiful Berlin office on certain days. Your recruiting process at Parloa: Recruiter video call → Engineering Manager Interview → Live Coding Interview → Architecture Interview → Bar Raiser Interview    Why Parloa?  Parloa is one of the fastest growing startups in the world of Generative AI and customer service. Parloa’s voice-first GenAI platform for contact centers is built on the best AI technology to automate customer service with natural-sounding conversations for outstanding experiences on all communication channels. Leveraging natural language processing (NLP) and machine learning, Parloa creates intelligent phone and chat solutions for businesses that turn contact centers into value centers by boosting customer service efficiency. The Parloa platform resolves the majority of customer queries quickly and automatically, allowing human agents to focus on complex issues and relationships. Parloa was founded in 2018 by Malte Kosub and Stefan Ostwald and today employs over 400+ people in Berlin, Munich, and New York. When you join Parloa, you become part of a dynamic and innovative team made up of over 34 nationalities that’s revolutionizing an entire industry. We’re passionate about growing together and creating opportunities for personal and professional development. With our recent $120 million Series C investment, we’re expanding globally and looking for talented individuals to join us on this exciting journey. Do you have questions about Parloa, the role, or our team before you apply? Please feel free to get in touch with our Hiring Team. Parloa is committed to upholding the highest data protection standards for our clients' and employees' data. All our employees are instrumental in ensuring the utmost care, GDPR, and ISO compliance, including ISO 27001, in handling sensitive information. * We provide equal opportunities to all qualified applicants regardless race, gender, sexual orientation, age, religion, national origin, disability status, socioeconomic background and other characteristics.

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YOUR MISSION: At Parloa, we’re on a mission to transform real-time customer interactions through a new generation of agentic AI. Our platform powers intelligent agents that automate complex voice and chat conversations at scale. As an engineer, you’ll take on meaningful challenges — from distributed systems to low-latency pipelines — and help solve problems the industry hasn’t cracked yet. Join us to build AI that doesn’t just respond — it understands, decides, and acts. As a Backend Engineer (f/m/d)* on the Real-Time Communications team, you will be enabling our users to interact with our AI agents in their device of choice, using their preferred communications medium in a self-service fashion, with the highest standards of reliability and security. You haven't worked with our stack? That's fine! We would love to get in touch as long as you are open to learn and code in Typescript. Parloa has an office-first approach. Our team is usually in the office 2-3 days a week.  IN THIS ROLE YOU WILL: Design, build, and maintain secure and scalable backend services Optimize system performance for low latency, high throughput, and reliability Collaborate across teams to integrate machine learning components into production systems Lead technical initiatives - design, planning, implementation, and maintenance (3-9 months horizon) Drive initiatives to improve operational excellence Contribute to the evolution of our architecture and engineering culture Our Tech stack: Python, Typescript, NodeJS, OpenAI, Microsoft Azure, Kubernetes, Docker, Terraform, MongoDB, MySQL, Redis, Kafka, NATS, Kamailio, RTPengine, Janus, FreeSwitch   WHAT YOU BRING TO THE TABLE: 7+ years of experience as a software engineer Solid understanding of real-time communication protocols Willingness to learn and code in Typescript Experience with developing and maintaining highly scalable and reliable microservices Deep understanding of distributed systems, event-driven architectures, and APIs Experience with cloud-native infrastructure (e.g., Kubernetes, GCP/AWS) A bias for action, strong ownership, and a passion for clean, pragmatic code Experience in leading technical projects  (3-9 months horizon) Strong spoken and written communication skills in English Curiosity and openness to work with AI-assisted coding tools WHAT'S IN IT FOR YOU? Join a diverse team of 40+ nationalities with flat hierarchies and a collaborative company culture. Opportunity to build and scale your career at the intersection of customer-facing roles and engineering in a dynamic startup on its journey to become an international leader in SaaS platforms for Conversational AI. Deutschland ticket, Urban Sports Club, Job Rad, Nilo Health, weekly sponsored office lunches Competitive compensation and equity package. Flexible working hours, 28 vacation days and workation opportunities. Access to a training and development budget for continuous professional growth. Regular team events, game nights, and other social activities. Hybrid work environment. However, we love to build real connections and want to welcome everyone in our beautiful Berlin office on certain days. Your recruiting process at Parloa: Recruiter video call → Engineering Manager Interview → Live Coding Interview → Architecture Interview → Bar Raiser Interview    Why Parloa?  Parloa is one of the fastest growing startups in the world of Generative AI and customer service. Parloa’s voice-first GenAI platform for contact centers is built on the best AI technology to automate customer service with natural-sounding conversations for outstanding experiences on all communication channels. Leveraging natural language processing (NLP) and machine learning, Parloa creates intelligent phone and chat solutions for businesses that turn contact centers into value centers by boosting customer service efficiency. The Parloa platform resolves the majority of customer queries quickly and automatically, allowing human agents to focus on complex issues and relationships. Parloa was founded in 2018 by Malte Kosub and Stefan Ostwald and today employs over 400+ people in Berlin, Munich, and New York. When you join Parloa, you become part of a dynamic and innovative team made up of over 34 nationalities that’s revolutionizing an entire industry. We’re passionate about growing together and creating opportunities for personal and professional development. With our recent $120 million Series C investment, we’re expanding globally and looking for talented individuals to join us on this exciting journey. Do you have questions about Parloa, the role, or our team before you apply? Please feel free to get in touch with our Hiring Team. Parloa is committed to upholding the highest data protection standards for our clients' and employees' data. All our employees are instrumental in ensuring the utmost care, GDPR, and ISO compliance, including ISO 27001, in handling sensitive information. * We provide equal opportunities to all qualified applicants regardless race, gender, sexual orientation, age, religion, national origin, disability status, socioeconomic background and other characteristics.

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YOUR MISSION At Parloa, our Engineering teams are united by a shared passion for crafting innovative solutions that are not only powerful but also intuitive and accessible. We are relentless in our pursuit to enhance the scalability, reliability, and performance of our systems, empowering both our customers and our fellow engineers to achieve more. As a Staff Software Engineer within our Agent-Runtime domain, you will play a pivotal role in shaping the technical strategy and driving our mission to transform the contact center industry. You’ll be entrusted with the design, development, and maintenance of mission-critical backend services—systems that serve as the backbone of Parloa’s success. This is a unique opportunity to work within a highly collaborative, cross-functional environment that celebrates diversity of thought, encourages creative problem-solving, and champions innovation at every level. Your expertise will have a direct impact on the evolution of our platform, making a tangible difference in the daily experiences of our users worldwide. If you are eager to lead by example, inspire others, and push the boundaries of what’s possible in conversational AI, we invite you to join us on our journey to redefine the future of customer interaction. You will work closely with Jürgen and Ciaran to build the Agent Runtime.   IN THIS ROLE, YOU WILL: Shape and Drive the Technical Vision: Define, communicate, and execute the technical roadmap for the Agent-Runtime domain, ensuring alignment with Parloa’s strategic objectives. Influence Architectural Excellence: Make and guide key architectural decisions, setting standards for scalability, security, and reliability across critical backend services. Champion Engineering Efficiency and Quality: Lead initiatives to optimize development workflows, improve system performance, and support sustainable growth. Lead by Example: Act as a technical leader within the team and organization, fostering a culture of continuous improvement, learning, and high performance. Bridge Technical Gaps: Proactively identify, analyze, and resolve gaps or inefficiencies in technical solutions and processes, collaborating across teams when needed. Advocate for Best Practices: Promote and enforce best practices in software design, testing, security, and operational excellence throughout the engineering lifecycle. Partner Cross-Functionally: Collaborate closely with Product, Infrastructure, and other teams to deliver resilient, observable, and high-performing systems. Own Service Quality: Define, monitor, and maintain Service Level Objectives (SLOs), ensuring exceptional service availability and reliability. Mentor and Grow Talent: Coach, mentor, and support engineers at all levels, sharing knowledge, driving technical discussions, and nurturing a growth mindset within the organization. Cultivate an Innovative Culture: Encourage experimentation, embrace diverse perspectives, and foster an environment where creativity and innovation thrive.   Our Tech stack: Microsoft Azure, React/Redux, TypeScript, NodeJS, Python, FastAPI, Inversify, NestJS, Jest, Kubernetes, Docker, MongoDB, Redis   WHAT YOU BRING TO THE TABLE: Expertise in designing, developing, and operating high-performance, low-latency software systems for real-time processing and streaming data. Deep proficiency in Python or TypeScript, with a focus on architecting scalable, maintainable, and testable solutions. Strong foundation in design patterns, clean coding, and data-intensive, event-driven systems (e.g., Kafka or Nats). Advanced knowledge of API design principles for efficient and scalable data flow solutions. Mastery of testing methodologies and tools within a test-driven development environment. Deep understanding of how product analytics can drive user-centric insights and create business value. Expertise in designing systems and leading complex technical projects (9-18 months roadmap) Thrives in fast-paced, agile environments, consistently delivering high-quality, scalable code while driving impactful projects to successful completion. Demonstrated strong leadership and collaboration skills, effectively communicating and working seamlessly across cross-functional teams to achieve shared business objectives. Passionate about mentoring and guiding junior and mid-level engineers, fostering a culture of knowledge sharing, continuous learning, and professional growth within the team. Proactively drives technical excellence, continuously learning and inspiring others to improve their skills and deliver impactful solutions. Strong spoken and written communication skills in English NICE TO HAVE: Experience building agentic workflows that leverage large language models to accomplish complex tasks WHAT'S IN IT FOR YOU?   Join a diverse team of 40+ nationalities with flat hierarchies and a collaborative company culture. Opportunity to build and scale your career at the intersection of customer-facing roles and engineering in a dynamic startup on its journey to become an international leader in SaaS platforms for Conversational AI. Deutschland ticket, Urban Sports Club, Job Rad, Nilo Health, weekly sponsored office lunches Competitive compensation and equity package. Flexible working hours, 28 vacation days, and workation opportunities. Access to a training and development budget for continuous professional growth. Regular team events, game nights, and other social activities. Hybrid work environment. However, we love to build real connections and want to welcome everyone to our beautiful Berlin office on certain days.   Your recruiting process at Parloa: Recruiter video call → Meet your manager → Live Coding Interview → System Design + Technical Leadership Interview → Meet our VP Engineering  Why Parloa?  Parloa is one of the fastest growing startups in the world of Generative AI and customer service. Parloa’s voice-first GenAI platform for contact centers is built on the best AI technology to automate customer service with natural-sounding conversations for outstanding experiences on all communication channels. Leveraging natural language processing (NLP) and machine learning, Parloa creates intelligent phone and chat solutions for businesses that turn contact centers into value centers by boosting customer service efficiency. The Parloa platform resolves the majority of customer queries quickly and automatically, allowing human agents to focus on complex issues and relationships. Parloa was founded in 2018 by Malte Kosub and Stefan Ostwald and today employs over 400+ people in Berlin, Munich, and New York. When you join Parloa, you become part of a dynamic and innovative team made up of over 34 nationalities that’s revolutionizing an entire industry. We’re passionate about growing together and creating opportunities for personal and professional development. With our recent $120 million Series C investment, we’re expanding globally and looking for talented individuals to join us on this exciting journey. Do you have questions about Parloa, the role, or our team before you apply? Please feel free to get in touch with our Hiring Team. Parloa is committed to upholding the highest data protection standards for our clients' and employees' data. All our employees are instrumental in ensuring the utmost care, GDPR, and ISO compliance, including ISO 27001, in handling sensitive information. * We provide equal opportunities to all qualified applicants regardless race, gender, sexual orientation, age, religion, national origin, disability status, socioeconomic background and other characteristics.

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About Us:We are establishing the first distributed Al infrastructure dedicated to personalized Al. The evolving needs of a data-driven society are demanding scalability and flexibility. We believe that the future of Al is distributed and enables real-time data processing at the edge, closer to where data is generated. We are building a future where a company's data and IP remains private and it's possible to bring large models directly to consumer hardware without removing information from the model.Role Overview: As a Staff R&D AI Engineer, you will lead the development of cutting-edge AI systems that bridge computer vision, natural language understanding, and action learning. You'll architect and implement Vision-Language-Action (VLA) models, advance reinforcement learning applications, and push the boundaries of multimodal AI integration. This role combines deep expertise in both computer vision and large language models with hands-on experience in reinforcement learning to create intelligent systems that can understand, reason about, and interact with complex environments. You'll drive research initiatives, mentor technical teams, and translate breakthrough AI research into practical applications across diverse domains.Key Responsibilities:Design and develop Vision-Language-Action (VLA) models that integrate visual perception, natural language understanding, and action predictionArchitect and implement reinforcement learning systems for sequential decision-making, including policy learning and skill acquisitionBuild and optimize computer vision pipelines for perception tasks, including object detection, segmentation, tracking, and scene understandingDevelop and fine-tune large language models for instruction following, reasoning, and task planning applicationsImplement RLHF (Reinforcement Learning from Human Feedback) systems to improve model alignment and safetyCreate multimodal training pipelines that leverage synthetic and real-world data for robust model performanceResearch and prototype novel AI architectures that combine vision, language, and action learningCollaborate with engineering teams to integrate AI models into applications and validate performance across domainsOptimize model inference performance for real-time applications across edge and cloud deploymentsLead technical initiatives, mentor junior AI engineers, and establish best practices for AI model developmentStay current with latest research in VLA models, multimodal AI, and robotics to drive innovation roadmapPresent findings at conferences and publish research to advance the fieldQualifications & Skills:7+ years of experience in AI/ML engineering with 4+ years focusing on deep learning and neural network developmentStrong understanding of reinforcement learning algorithms and their applications (PPO, SAC, TD3, etc.)Strong expertise in both computer vision and natural language processing with hands-on model development experienceProficiency in PyTorch and/or TensorFlow with experience training and deploying large-scale modelsExperience with transformer architectures, attention mechanisms, and large language model fine-tuningHands-on experience with computer vision tasks including object detection, semantic segmentation, and visual trackingStrong programming skills in Python with experience in distributed training and model optimizationUnderstanding of sequential decision-making and control systems fundamentalsExperience with MLOps practices including model versioning, monitoring, and deployment pipelinesProven ability to work independently on complex research problems and deliver practical solutionsStrong communication skills and experience collaborating with cross-functional engineering teamsPreferred Qualifications:PhD in Computer Science, Robotics, AI/ML, or related field with focus on multimodal learning or roboticsDirect experience developing or working with Vision-Language-Action (VLA) models or similar multimodal architecturesExperience with RLHF implementation and human feedback integration for model alignmentBackground in imitation learning, inverse reinforcement learning, or learning from demonstrationsExperience with real-world system deployment and sim-to-real transfer techniquesKnowledge of 3D computer vision, spatial reasoning, or multi-modal perception systemsExperience with distributed training frameworks (DeepSpeed, FairScale, Horovod) and large-scale model trainingFamiliarity with edge AI deployment and model optimization techniques (quantization, pruning, distillation)Experience with embodied AI research or projects involving agent-environment interactionPublished research in top-tier AI/ML conferences (NeurIPS, ICML, ICLR, CoRL, etc.)Open-source contributions to major AI/ML frameworks or robotics projectsStartup experience with ability to rapidly prototype and iterate on AI solutionsExperience with cloud platforms (AWS, GCP, Azure) and containerization technologiesBackground in safety-critical AI systems or AI alignment researchWe at webAI are committed to living out the core values we have put in place as the foundation on which we operate as a team. We seek individuals who exemplify the following:Truth - Emphasizing transparency and honesty in every interaction and decision.Ownership - Taking full responsibility for one’s actions and decisions, demonstrating commitment to the success of our clients. Tenacity - Persisting in the face of challenges and setbacks, continually striving for excellence and improvement.Humility - Maintaining a respectful and learning-oriented mindset, acknowledging the strengths and contributions of others.Benefits:Competitive salary and performance-based incentives.Comprehensive health, dental, and vision benefits package.$200/mos Health and Wellness Stipend$400/year Continuing Education CreditFlexible work weekFree parking, for in-office employeesUnlimited PTOParental, Bereavement LeaveSupplemental Life InsurancewebAI is an Equal Opportunity Employer and does not discriminate against any employee or applicant on the basis of age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. We adhere to these principles in all aspects of employment, including recruitment, hiring, training, compensation, promotion, benefits, social and recreational programs, and discipline. In addition, it is the policy of webAI to provide reasonable accommodation to qualified employees who have protected disabilities to the extent required by applicable laws, regulations and ordinances where a particular employee works.

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Lambda is the #1 GPU Cloud for ML/AI teams training, fine-tuning and inferencing AI models, where engineers can easily, securely and affordably build, test and deploy AI products at scale. Lambda’s product portfolio includes on-prem GPU systems, hosted GPUs across public & private clouds and managed inference services – servicing government, researchers, startups and Enterprises world-wide. If you'd like to build the world's best deep learning cloud, join us.  *Note: This position requires presence in our Vernon, CA Data Center 5 days per week.What You'll DoEnsure new server, storage and network infrastructure is properly racked, labeled, cabled, and configuredTroubleshoot hardware and software issues in some of the world’s most advanced systemsDocument data center layout and network topology in DCIM softwareWork with supply chain & manufacturing teams to ensure timely deployment of systems and project plans for large-scale deploymentsManage a parts depot inventory and track equipment through the delivery-store-stage-deploy-handoff process in each of our data centersWork closely with HW Support team to ensure data center infrastructure-related support tickets are resolvedWork with RMA team to ensure faulty parts are returned and replacements are orderedFollow installation standards and documentation for placement, labeling, and cabling to drive consistency and discoverability across all data centersYouAre familiar with critical infrastructure systems supporting data centers, such as power distribution, air flow management, environmental monitoring, capacity planning, DCIM software, structured cabling, and cable managementAre someone who pays attention to detail and has the ability to follow instructionsAre action-oriented and have a strong willingness to learnAre willing to travel for bring up of new data center locationsNice to HaveExperience with troubleshooting server hardwareExperience with Linux administrationExperience with working in large-scale distributed data center environmentsExperience Supermicro & Nvidia hardwareSalary Range InformationBased on market data and other factors, the annual salary range for this position is $86,000-$111,000. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.About LambdaFounded in 2012, ~400 employees (2025) and growing fastWe offer generous cash & equity compensationOur investors include Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, US Innovative Technology, Gradient Ventures, Mercato Partners, SVB, 1517, Crescent Cove.We are experiencing extremely high demand for our systems, with quarter over quarter, year over year profitabilityOur research papers have been accepted into top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOGHealth, dental, and vision coverage for you and your dependentsWellness and Commuter stipends for select roles401k Plan with 2% company match (USA employees)Flexible Paid Time Off Plan that we all actually useA Final Note:You do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.Equal Opportunity EmployerLambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.

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Why SalesApe?Join SalesAPE, one of the fastest-growing AI companies, recognised as a leader in cutting-edge AI technology and backed by over $20 million from top VCs.We’re at the dawn of a powerful evolution, set to transform society with our tech. Our mission? To tackle inequality by empowering a huge market of non-tech SMBs—93% of all businesses, think construction, automotive, real estate, and more. While the tech industry has compounded its growth with computing power, these businesses have been technically starved.With AI agents and our natural language interface technology, we’re unlocking huge productivity gains for our clients. It’s deeply rewarding to see firsthand the transformation in small businesses as they embrace their agent—not just as a tool, but as a trusted, hard-working member of their team. The emotional bond our clients feel toward their agent is undeniable—they often tell us their ‘Ape’ has become part of the family. Our vision is to become the ‘ brain’ of a business spinning out agent worker, freeing up time and simplifying operations, to ensure humans spend more time in real-life interaction.If you’re ready for intense, high-energy, meaningful work, come make a real impact with us at SalesAPE.Founder Elevator Pitch on our Mission and PurposeAs we started building with large language models and AI-powered natural language interfaces, I had an aha moment. It hit me just how significant this inflection point is: compute—the raw power of computers—is now accessible to people who don’t use computers.""And when I thought about that, I realized the closest invention humanity has seen to this shift was electricity. When electricity arrived, it didn’t just light up homes—it transformed industries, democratized wealth, and empowered everyone, from factory owners to farmers, to grow and thrive. Today, with AI, we have the opportunity to do the same for the real economy.""For the last two decades, the tech industry has had an incredible advantage. Computers have been like co-pilots for us, quietly amplifying our productivity and enabling us to grow faster than ever before. But 95% of businesses—builders, plumbers, and real estate agents—have been technically starved. These businesses make up 50% of GDP, five times larger than the entire tech industry, but they’ve never had access to the tools they need to compete.""This is the inequality we’re solving. APE AI is democratizing technology, bringing the power of compute to businesses that have been left behind. And what’s so rewarding is that we’re not just helping faceless corporations—we’re empowering real people. Small business owners who pour their hearts into their work. People whose success directly impacts their families, their communities, and society at large. It’s deeply rewarding to see firsthand the transformation in small businesses as they embrace their agent—not just as a tool, but as a trusted, hard-working member of their team.""For me, this mission is personal. I’ve spent my career building companies that encourage people to connect in real life, to be physically active, and to engage with their communities. This isn’t just about productivity—it’s about health, happiness, and thriving societies. Humans weren’t built to spend their lives staring at screens. We’re wired to interact, to move, to be part of the real world. And what excites me is that Ape AI is helping to make this possible—empowering businesses that create real-world value to thrive at the same pace as the tech giants.""This isn’t just about technology. It’s about fairness. It’s about giving the power of compute to the people who need it most, so they can grow, thrive, and make a difference. That’s our mission, and it’s something we can all be proud of.The RoleYou’ll be building high-velocity go-to-market experiments in key verticals, translating marketing goals into automated workflows and scalable campaigns that directly drive pipeline growth. Reporting to the Head of Growth, you’ll partner with Sales, Ops, Product and Engineering to architect and optimize full-stack GTM processes - both digital and offline.Core ResponsibilitiesGTM Workflow Engineering Rapidly prototype, implement, and maintain end-to-end automated workflows connecting CRM, ad platforms, and third-party tools to orchestrate targeted vertical campaigns and scalable prospect experiences.AI-Powered Content Orchestration Develop and refine content pipelines using LLMs and creative tools (video, copy) to personalize messaging at scale.Experiment Design & Execution Plan, launch, and iterate high-velocity multichannel tests (digital, direct mail, events), analyzing results to optimize budget and performance.Metrics & Insights Design and maintain real-time dashboards; extract actionable insights to inform strategy and improve funnel efficiency.Enablement & Documentation Create modular playbooks, process docs, and training materials to empower Sales and Marketing teams to self-serve automation capabilities.Day-to-Day ActivitiesRapidly prototype new CRM workflows and scoring rules; conduct A/B tests on routing logic.Collaborate with Engineering to integrate APIs, troubleshoot automation failures, and optimize system reliability.Use LLM prompts to generate and QA copy variants for emails, ads, and landing pages, then deploy via automated pipelines.Launch, monitor, and iterate multichannel experiments, adjusting parameters in-flight based on performance data.Lead daily standups to review pipeline health, highlight experiments, and unblock cross-functional dependencies.Essential Skills & QualificationsWorkflow & CRM Automation: 3–5 years building complex CRM automations, with exposure to APIs or no-code platforms.AI/LLM & Content Generation: Comfortable engineering prompts and refining AI-generated copy (emails, ads, video scripts).Experimentation Mindset: Proven track record running multichannel pilots - setting up, measuring, and iterating.Data Fluency: Able to model data, build dashboards (Looker, Tableau, GA4), and draw actionable insights.Technical Agility: Basic scripting (Python/JS) or advanced no-code skills to glue systems together.Behavioural Traits & MindsetSystems Thinker: Sees the big picture and designs automations that integrate seamlessly into broader GTM workflows.Problem Solver: Breaks down complex challenges into actionable steps and crafts scalable solutions.Automation Enthusiast: Passionate about streamlining processes, building reusable modules, and maximizing efficiency.Experimental Learner: Embraces a test-and-learn approach - rapidly prototyping ideas, analyzing results, and iterating.Collaborative Communicator: Bridges technical and business teams by clearly articulating strategies, trade-offs, and outcomes.Growth OpportunitiesThis role sits at the vanguard of marketing’s AI-driven future. As automation and intelligent tools reshape how we engage customers, you’ll be right at the cutting edge - experimenting with emerging technologies, pioneering new strategies, and redefining best practices. If you’re passionate about building a career at the intersection of growth and innovation, this role offers an unparalleled launchpad. You’ll gain hands-on experience leading AI-powered campaigns and automations, positioning you perfectly for a future where marketing is increasingly shaped by AI and automation.

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Why SalesApe?Join SalesAPE, one of the fastest-growing AI companies, recognised as a leader in cutting-edge AI technology and backed by over $20 million from top VCs.We’re at the dawn of a powerful evolution, set to transform society with our tech. Our mission? To tackle inequality by empowering a huge market of non-tech SMBs—93% of all businesses, think construction, automotive, real estate, and more. While the tech industry has compounded its growth with computing power, these businesses have been technically starved.With AI agents and our natural language interface technology, we’re unlocking huge productivity gains for our clients. It’s deeply rewarding to see firsthand the transformation in small businesses as they embrace their agent—not just as a tool, but as a trusted, hard-working member of their team. The emotional bond our clients feel toward their agent is undeniable—they often tell us their ‘Ape’ has become part of the family. Our vision is to become the ‘ brain’ of a business spinning out agent worker, freeing up time and simplifying operations, to ensure humans spend more time in real-life interaction.If you’re ready for intense, high-energy, meaningful work, come make a real impact with us at SalesAPE.Founder Elevator Pitch on our Mission and PurposeAs we started building with large language models and AI-powered natural language interfaces, I had an aha moment. It hit me just how significant this inflection point is: compute—the raw power of computers—is now accessible to people who don’t use computers.""And when I thought about that, I realized the closest invention humanity has seen to this shift was electricity. When electricity arrived, it didn’t just light up homes—it transformed industries, democratized wealth, and empowered everyone, from factory owners to farmers, to grow and thrive. Today, with AI, we have the opportunity to do the same for the real economy.""For the last two decades, the tech industry has had an incredible advantage. Computers have been like co-pilots for us, quietly amplifying our productivity and enabling us to grow faster than ever before. But 95% of businesses—builders, plumbers, and real estate agents—have been technically starved. These businesses make up 50% of GDP, five times larger than the entire tech industry, but they’ve never had access to the tools they need to compete.""This is the inequality we’re solving. APE AI is democratizing technology, bringing the power of compute to businesses that have been left behind. And what’s so rewarding is that we’re not just helping faceless corporations—we’re empowering real people. Small business owners who pour their hearts into their work. People whose success directly impacts their families, their communities, and society at large. It’s deeply rewarding to see firsthand the transformation in small businesses as they embrace their agent—not just as a tool, but as a trusted, hard-working member of their team.""For me, this mission is personal. I’ve spent my career building companies that encourage people to connect in real life, to be physically active, and to engage with their communities. This isn’t just about productivity—it’s about health, happiness, and thriving societies. Humans weren’t built to spend their lives staring at screens. We’re wired to interact, to move, to be part of the real world. And what excites me is that Ape AI is helping to make this possible—empowering businesses that create real-world value to thrive at the same pace as the tech giants.""This isn’t just about technology. It’s about fairness. It’s about giving the power of compute to the people who need it most, so they can grow, thrive, and make a difference. That’s our mission, and it’s something we can all be proud of.What You’ll Do1. Own the Growth Experiment Stack(Scored: Experiment Design, AI-Tooling Leverage, Commercial Fluency)Design and run growth experiments—A/B tests, prompt tests, onboarding changes, channel tweaks—across the full user funnelBuild scrappy tools, landing pages, or agents to validate hypotheses quicklyAutomate lead qualification, routing, or enrichment using LLMs and AI toolsTranslate learnings into scalable systems and playbooks 2. Prototype and Ship Marketing Tools(Scored: Generalist Agility, UX & Psychology, Discovery Skills)Build custom GPTs, internal tools, or user-facing flows that enhance demo booking, onboarding, or lead conversionLeverage behavioral psychology principles (e.g., social proof, urgency, framing) to drive outcomesPartner with Sales, CS, and Product to uncover high-impact ideas worth testing 3. Own Metrics and Growth Intelligence(Scored: Commercial Sense, Curiosity, Communication & Influence)Instrument key touchpoints and build dashboards to monitor growth KPIsRun LTV/CAC modeling and attribution analysis to validate channel and experiment ROIDeliver structured insight decks that influence cross-functional strategyHelp drive a performance culture grounded in first principles thinking and economic rigor You Might Be a Fit If You…Have 3–5+ years in technical growth, product, or marketing engineering roles, ideally at a high-growth startupKnow your way around JavaScript, Python, and no-code tools (Webflow, Zapier, Retool, etc.)Have LLM familiarity (e.g., prompt engineering, LangChain, GPTs, embeddings, vector DBs) and are AI-curious by defaultObsess over the user journey and move from insight to experiment to impact fastCan model CAC, LTV, funnel conversion, and payback math with confidenceUnderstand ethical growth levers (e.g., default bias, reciprocity, anchoring) and when to apply themBalance craft and speed—you ship quickly but with an eye toward scale Your Stack Might IncludeLanguages: Python, JS/React, SQLTools: Webflow, Zapier, PostHog, Segment, BigQuery, Retool, OpenAI, Make.comGrowth Techniques: Landing page testing, onboarding flows, in-product nudges, lead scoring, auto-emailing agents, demo routing, prompt optimization What’s in It for YouA mission you can believe in—helping real people thrive through transformative AIThe ability to build and ship with velocity in a flat, high-trust, zero-politics cultureSignificant career growth opportunities into Head of Growth, Technical Product, or AI leadership rolesWork alongside some of the smartest minds in AI, product, and marketingCompetitive salary, equity, and the freedom to work how and where you thrive The ProcessWe ask candidates to commit upfront to submitting a short video interview. Then we enter this process, Introductory CallA conversation with Will Slater, Head of Marketing.Technical & Strategic Case StudyIn-person session to assess your thinking and approach.Final Culture & Fit InterviewIn-person meeting with Al to align on values, mindset, and team dynamics.