AI Marketing & Sales Jobs

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About LightfieldLightfield is a next-generation CRM that automatically captures customer interactions like emails, meetings, and support tickets and organizes them into structured CRM data, enabling deep analysis of customer activity and powerful automation.Unlike traditional CRMs, Lightfield continuously learns from how you sell and who you sell to, directly from the words of customers and actual workflows in the system. With this data, Lightfield proactively manages customer tasks, automates personalized customer communication, and delivers the visibility and insights needed for teams to continually refine their go-to-market strategy.The company is initially focused on becoming the first comprehensive system of record and go-to-market platform for high-growth technology companies. With a flexible and scalable model for data capture and organization, Lightfield is designed to be the last CRM and GTM-automation tool our companies will ever need.Our team previously built Tome, a generative AI presentation product used by over 25 million people, gaining deep expertise in context management, effective evaluation loops, and user-interaction design for generative AI. Before Tome, many of us worked on Llama, Instagram, Facebook Messenger, Pinterest, and Salesforce.About the roleWe’re looking for a driven, creative engineer who is excited about the challenge of leveraging LLMs to build exceptionally innovative product experiences.You’ll join us at the frontier of AI product development, developing industry-leading approaches to solve important customer problems.Engineers at Lightfield own and drive projects from inception to impact, working with teammates of all functions along the way.You’ll also push our company’s overall product and technical vision as we learn from each project and continue to scale.What You'll doCollaborate with product leaders to identify customer problems, scope requirements, and implement LLM-powered solutions.Apply LLMs as reasoning engines to build domain-specific AI assistants.Create and enhance prompts, applying techniques like few-shot learning and chain-of-thought.Develop and optimize end-to-end RAG pipelines and agent architectures to leverage public and proprietary data.Improve end-to-end AI agent quality (e.g. relevance, fidelity, latency) via empirical evaluation and iteration.Build and enhance systems and tools that enable high-velocity experimentation (e.g. LLM-powered automated evaluation) and customized product experiences.Stay at the forefront of AI research and incorporate state-of-the-art techniques.Shape technical direction and best practices for AI application development at Lightfield.Help build a world-class engineering team by recruiting and mentoring teammates.Who you areYou have the ability to ramp quickly on tech stack that features TypeScript, React, Next.js, Node.js, Apollo GraphQL, and Aurora PostgreSQL.You have explored working with LLMs, either through professional projects or personal experimentation.You have a degree in Computer Science or a related field, with a strong foundation in software engineering principles.You are familiar with AI and ML concepts (e.g. training, evaluation techniques).You are passionate about keeping up with and exploring the latest advancements in LLMs and LLMOps (including open source solutions, e.g. LangChain).You are excited to develop new best practices in an emerging domain.You can drive a project with an ambiguous problem independently.You enjoy strategically balancing ambitious vision with frequent delivery of user value.You are able to clearly communicate your reasoning and decisions to your teammates (technical and nontechnical) at an appropriate altitude of detail.You are energized by building software experiences customers will use directly and depend on to do their jobs successfully.Benefits & PerksCompetitive salaryMeaningful early equityHealth insurance (medical, dental, vision)3 weeks of PTO11 paid company holidays + we enjoy a winter holiday break3 months of paid family leaveWednesdays work from homeRegular team dinners, events, offsites, and retreats401k planOther perks include: commuter and lunch stipend

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Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century’s most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril’s family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years.Anduril’s Flight Engineering department is part of the Air Dominance and Strike organization. We are seeking Guidance, Navigation and Control (GNC) Engineers to join our team. The Anduril Flight Engineering team is integral to development of flight system solutions in all domains for our warfighters. As a critical member of our team, the role of a Guidance, Navigation, and Control (GNC) Engineer is pivotal in driving the design, development, testing, and implementation of cutting-edge flight system technologies for our aerospace systems. Anduril fosters a dynamic learning culture, characterized by accelerated knowledge acquisition through modeling, simulation, analysis, and rigorous and frequent ground and flight test experimentation. At Anduril, you will be involved in flight testing the systems you develop.   We are currently looking for highly skilled GNC Engineers with expertise in autonomous safety-critical systems to join our team. The successful candidate will play a pivotal role in developing, testing, and implementing GNC systems and architectures for our aerospace programs. This includes missiles, unmanned air vehicles, and related technology.   WHAT YOU'LL DO Develop, implement, and test algorithms for guidance, navigation, and control systems in line with project requirements. Design, implement, and assess the GNC architectures considering all elements, including spacecraft, sensors, actuators, and algorithms. Use MDAO techniques for the design and optimization of GNC systems, balancing performance, cost, and risk factors. Participate in all phases of system development, from concept to design, prototyping, testing, and operation. Collaborate closely with a multidisciplinary team including systems engineers, flight software engineers, and test engineers to ensure system-wide integration and performance. Contribute to design reviews, safety assessments, and system documentation. Use simulation and analysis tools to verify GNC models and system performance under different operating conditions. Provide system engineering expertise in the development of GNC systems, ensuring a cohesive and efficient approach to the design and implementation process. Troubleshoot and resolve issues related to GNC systems during design, testing, and operational phases. Keep updated with the latest technologies and trends in GNC engineering and system architecture design. REQUIRED QUALIFICATIONS BS in Robotics, Computer Science, Electrical, Mechanical, Mechatronics, Aerospace Engineering or related field with focus on dynamics and control. 7 or more years of experience working on complex air vehicles. A strong theoretical knowledge of classical and modern control theory, estimation, and filtering techniques. Experience with developing GNC solutions for flight systems. Proficiency with GNC simulation tools like MATLAB, Simulink and related toolboxes. Familiarization with 6-DOF simulations. Must be eligible to obtain and maintain a U.S. Top Secret clearance PREFERRED QUALIFICATIONS A Ph.D. in Aerospace Engineering, Mechanical Engineering, Electrical Engineering, or a related field is a plus. Strong understanding of flight mechanics and related physics. Practical experience developing GNC designs for flight systems. Extensive experience in GNC system and architecture development and testing, preferably in the aerospace industry. Experience generating in C or C++ code from Simulink models. Proven experience in applying MDAO methods and tools in the design of complex systems. Experience with direct and indirect trajectory optimization methods and  familiarity with trajectory optimization libraries (e.g., GPOPS-ii, DIDO, Dymos, CasADi, or IPOPT). Experience writing code in C/C++ or Rust. Strong analytical, problem-solving, and decision-making skills. Excellent verbal and written communication skills. Ability to work independently and in a team-oriented, collaborative environment. Familiarity with agile and Lean product development methodologies such as Scrum. Experience using Jira, Git, GitHub, or GitLab. Understanding of and compliance with industry, safety, and quality standards appropriate for the application. Passion for defending the United States and its allies. Current Active U.S. Top Secret clearance preferred. ANDURIL PRODUCTS Anduril has been selected as one of two vendors to move forward on the Collaborative Combat Aircraft (CCA) program for the Air Force's flagship autonomous aircraft program. During the next phase, Anduril will design, manufacture, and test production-representative CCAs. We are honored to be part of the program as a non-traditional defense company and are seeking highly motivated candidates to join us in the rapid development of a new, revolutionary aircraft. For more information on the latest with Anduril, visit our Newsroom. Watch this short video showcasing our products at Anduril.   US Salary Range$168,000—$252,000 USD  The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. Highly competitive equity grants are included in the majority of full time offers; and are considered part of Anduril's total compensation package. Additionally, Anduril offers top-tier benefits for full-time employees, including: Platinum Healthcare Benefits: For U.S. roles, we offer comprehensive medical, dental, and vision plans at little to no cost to you. For UK roles, Private Medical Insurance (PMI): Anduril will cover the full cost of the insurance premium for an employee and dependents. For AUS roles, Private health plan through Bupa: Coverage is fully subsidized by Anduril. Basic Life/AD&D and long-term disability insurance 100% covered by Anduril, plus the option to purchase additional life insurance for you and your dependents. Extremely generous company holiday calendar including a holiday hiatus in December, and highly competitive PTO plans. 16 weeks of paid Caregiver & Wellness Leave to care for a family member, bond with your baby, or tend to your own medical condition. Family Planning & Parenting Support: Fertility (eg, IVF, preservation), adoption, and gestational carrier coverage with additional benefits and resources to provide support from planning to parenting. Mental Health Resources: We provide free mental health resources 24/7 including therapy, life coaching, and more. Additional work-life services, such as free legal and financial support, available to you as well. A professional development stipend is available to all Andurilians. Company-funded commuter benefits available based on your region. Relocation assistance (depending on role eligibility). 401(k) retirement savings plan - both a traditional and Roth 401(k). (US roles only) The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process. Anduril is an equal-opportunity employer committed to creating a diverse and inclusive workplace. The Anduril team is made up of incredibly talented and unique individuals, who together are disrupting industry norms by creating new paths towards the future of defense technology. All qualified applicants will be treated with respect and receive equal consideration for employment without regard to race, color, creed, religion, sex, gender identity, sexual orientation, national origin, disability, uniform service, Veteran status, age, or any other protected characteristic per federal, state, or local law, including those with a criminal history, in a manner consistent with the requirements of applicable state and local laws, including the CA Fair Chance Initiative for Hiring Ordinance. We actively encourage members of recognized minorities, women, Veterans, and those with disabilities to apply, and we work to create a welcoming and supportive environment for all applicants throughout the interview process. If you are someone passionate about working on problems that have a real-world impact, we'd love to hear from you! To view Anduril's candidate data privacy policy, please visit https://anduril.com/applicant-privacy-notice/.

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Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century’s most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril’s family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years.Anduril’s Flight Engineering department is part of the Air Dominance and Strike organization, we are seeking Guidance, Navigation and Control (GNC) Engineers to join our team. The Anduril Flight Engineering team is integral to development of flight system solutions in all domains for our warfighters. As a critical member of our team, the role of a Guidance, Navigation, and Control (GNC) Engineer is pivotal in driving the design, development, testing, and implementation of cutting-edge flight system technologies for our aerospace systems. Anduril fosters a dynamic learning culture, characterized by accelerated knowledge acquisition through modeling, simulation, analysis, and rigorous and frequent ground and flight test experimentation. At Anduril, you will be involved in flight testing the systems you develop.   We are currently looking for highly skilled GNC Engineers with expertise in autonomous safety-critical systems to join our team. The successful candidate will play a pivotal role in developing, testing, and implementing GNC systems and architectures for our aerospace programs. This includes missiles, unmanned air vehicles, and related technology.   WHAT YOU'LL DO Develop, implement, and test algorithms for guidance, navigation, and control systems in line with project requirements. Design, implement, and assess the GNC architectures considering all elements, including spacecraft, sensors, actuators, and algorithms. Use MDAO techniques for the design and optimization of GNC systems, balancing performance, cost, and risk factors. Participate in all phases of system development, from concept to design, prototyping, testing, and operation. Collaborate closely with a multidisciplinary team including systems engineers, flight software engineers, and test engineers to ensure system-wide integration and performance. Contribute to design reviews, safety assessments, and system documentation. Use simulation and analysis tools to verify GNC models and system performance under different operating conditions. Provide system engineering expertise in the development of GNC systems, ensuring a cohesive and efficient approach to the design and implementation process. Troubleshoot and resolve issues related to GNC systems during design, testing, and operational phases. Keep updated with the latest technologies and trends in GNC engineering and system architecture design. REQUIRED QUALIFICATIONS BS in Robotics, Computer Science, Electrical, Mechanical, Mechatronics, Aerospace Engineering or related field with focus on dynamics and control 3 or more years of experience in Guidance, Navigation & Control engineering or related technical experience A strong theoretical knowledge of classical and modern control theory, estimation, and filtering techniques. Experience with developing GNC solutions for flight systems. Proficiency with GNC simulation tools like MATLAB, Simulink and related toolboxes. Familiarization with 6-DOF simulations. Must be eligible to obtain and maintain a U.S. Top Secret clearance. PREFERRED QUALIFICATIONS A Ph.D. in Aerospace Engineering, Mechanical Engineering, Electrical Engineering, or a related field is a plus Strong understanding of flight mechanics and related physics. Practical experience developing GNC designs for flight systems. Extensive experience in GNC system and architecture development and testing, preferably in the aerospace industry. Experience generating in C or C++ code from Simulink models. Proven experience in applying MDAO methods and tools in the design of complex systems. Experience with direct and indirect trajectory optimization methods and  familiarity with trajectory optimization libraries (e.g., GPOPS-ii, DIDO, Dymos, CasADi, or IPOPT) Experience writing code in C/C++ or Rust  Strong analytical, problem-solving, and decision-making skills. Excellent verbal and written communication skills. Ability to work independently and in a team-oriented, collaborative environment. Familiarity with agile and Lean product development methodologies such as Scrum. Experience using Jira, Git, GitHub, or GitLab Understanding of and compliance with industry, safety, and quality standards appropriate for the application Passion for defending the United States and its allies Current Active U.S. Top Secret clearance preferred ANDURIL PRODUCTS Anduril has been selected as one of two vendors to move forward on the Collaborative Combat Aircraft (CCA) program for the Air Force's flagship autonomous aircraft program. During the next phase, Anduril will design, manufacture, and test production-representative CCAs. We are honored to be part of the program as a non-traditional defense company and are seeking highly motivated candidates to join us in the rapid development of a new, revolutionary aircraft. For more information on the latest with Anduril, visit our Newsroom. Watch this short video showcasing our products at Anduril. US Salary Range$138,000—$207,000 USD  The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. Highly competitive equity grants are included in the majority of full time offers; and are considered part of Anduril's total compensation package. Additionally, Anduril offers top-tier benefits for full-time employees, including: Platinum Healthcare Benefits: For U.S. roles, we offer comprehensive medical, dental, and vision plans at little to no cost to you. For UK roles, Private Medical Insurance (PMI): Anduril will cover the full cost of the insurance premium for an employee and dependents. For AUS roles, Private health plan through Bupa: Coverage is fully subsidized by Anduril. Basic Life/AD&D and long-term disability insurance 100% covered by Anduril, plus the option to purchase additional life insurance for you and your dependents. Extremely generous company holiday calendar including a holiday hiatus in December, and highly competitive PTO plans. 16 weeks of paid Caregiver & Wellness Leave to care for a family member, bond with your baby, or tend to your own medical condition. Family Planning & Parenting Support: Fertility (eg, IVF, preservation), adoption, and gestational carrier coverage with additional benefits and resources to provide support from planning to parenting. Mental Health Resources: We provide free mental health resources 24/7 including therapy, life coaching, and more. Additional work-life services, such as free legal and financial support, available to you as well. A professional development stipend is available to all Andurilians. Company-funded commuter benefits available based on your region. Relocation assistance (depending on role eligibility). 401(k) retirement savings plan - both a traditional and Roth 401(k). (US roles only) The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process. Anduril is an equal-opportunity employer committed to creating a diverse and inclusive workplace. The Anduril team is made up of incredibly talented and unique individuals, who together are disrupting industry norms by creating new paths towards the future of defense technology. All qualified applicants will be treated with respect and receive equal consideration for employment without regard to race, color, creed, religion, sex, gender identity, sexual orientation, national origin, disability, uniform service, Veteran status, age, or any other protected characteristic per federal, state, or local law, including those with a criminal history, in a manner consistent with the requirements of applicable state and local laws, including the CA Fair Chance Initiative for Hiring Ordinance. We actively encourage members of recognized minorities, women, Veterans, and those with disabilities to apply, and we work to create a welcoming and supportive environment for all applicants throughout the interview process. If you are someone passionate about working on problems that have a real-world impact, we'd love to hear from you! To view Anduril's candidate data privacy policy, please visit https://anduril.com/applicant-privacy-notice/.

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About Us: Atomic Industries is reinventing how the world makes things. From cars and aerospace systems to medical devices and packaging, most physical goods begin life in a mold or are shaped by a manufacturing tool. Producing these tools has always been slow, manual, and dependent on scarce expertise, taking weeks or months. We’re changing that.At our Detroit headquarters, we combine the industrial DNA of America’s manufacturing heartland with the speed, intelligence, and precision of Silicon Valley. Our AI-driven platform tackles the hardest problems in geometry, process planning, and fabrication, collapsing production timelines from months to days and soon, minutes. We don’t just build software; we run a fully operational factory where our technology produces production-grade tooling every week, enabling tight feedback loops and rapid iteration.Backed by top-tier investors, we’re restoring speed, flexibility, and capability to the American industrial base. Our mission is to make manufacturing as agile and scalable as the digital world, and in doing so, rebuild the infrastructure of the physical economy.Key Responsibilities:Collaborate across various departments to enhance our AI-driven design and manufacturing processes.Contribute to different stages of production, from software development to operational management and factory floor operations.Engage in business development activities, including strategy formulation and relationship management.Innovate in areas of robotics and manufacturing technology to improve efficiency and quality.Qualifications:Relevant experience or a strong interest in fields such as engineering, manufacturing, business development, or robotics.Excellent problem-solving skills and a willingness to engage in a variety of challenges.Strong communication and teamwork abilities, capable of working in an interdisciplinary environment.Eagerness to learn and adapt in a rapidly evolving startup landscape.What We Offer:The opportunity to be part of an exciting journey in transforming the manufacturing industry.A collaborative and challenging work environment where innovation is at the forefront.Opportunities for personal and professional development.Competitive compensation and benefits, commensurate with experience and role.Apply Now: Join us in our mission to redefine manufacturing through AI. We are excited to welcome individuals who share our passion for innovation and excellence. Submit your application today and be a part of our transformative journey.

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📐 About this roleWe’re looking for a Strategic customer success manager to lead AI powered transformation for our Fortune 50 customers in the CPG industry. This role is designed for an experienced professional with deep expertise in CPG who thrives on driving innovation within this ecosystem. The ideal candidate is passionate about integrating AI solutions into core CPG workflows, identifying tangible business value, and building strong, strategic partnerships with customers.As our Strategic customer success manager, you’ll be pivotal in refining our processes for onboarding, adoption, and retention within the CPG sector. With an NRR of +130%, and GRR is +95%, you’ll be building on a world-class foundation to drive even greater success.You'll be reporting to the Director of customer success and be working very closely with our other customer success managers in building a world class CS org.🦸🏻‍♀️ Your responsibilities:Lead strategic relationships with senior stakeholders across Fortune 50 CPG customers, acting as the main point of contact and trusted advisorDrive AI adoption within customer organizations by developing tailored success plans that align AI solutions with key business objectives and measurable outcomesManage complex, high-value programs that focus on AI - powered transformation, ensuring seamless execution, adoption, and business value realizationOwn the full customer renewal process, including forecasting, negotiating, and proposal creatingBe accountable for customer retention: Drive both Gross and Net dollar retention rate targets for your customersCollaborate closely with Sales to identify and execute expansion opportunities, ensuring mutual growth through cross-sell and up-sell initiativesAdvocate for customer needs internally: Leverage CPG-specific insights to influence product strategy and enhance the customer experienceLeverage data analytics: Analyze product usage and adoption data to uncover valuable insights, empowering customer champions with smarter decision-makingLead the customer journey: Ensure a seamless experience from onboarding through renewals and expansions, always focusing on long-term customer success and satisfaction⭐️ Is this you?7+ years experience in CPG, ideally with in-house expertise3-5+ years experience in a customer facing saas or consulting role, with experience in driving business transformation, strategy, or enablementProven ability to engage C-level stakeholders, with experience influencing executive decision-makers and driving adoption at the highest levelsStrong understanding of CPG industry dynamics, including its challenges, opportunities, and specific needs for digital transformationA track record of leading complex programs with a focus on strategic alignment, KPIs, and driving large-scale adoptionData driven with strong business acumen: Ability to link product value and AI solutions to measurable business outcomesExcellent communication skills: A skilled storyteller who can clearly articulate value propositions and insights to both technical and non-technical audiencesProactive, self-motivated, and highly organized, thriving in a fast-paced, high-growth environmentA natural affinity to our values of Connect, Challenge, Own🌟 Preferred skillsBackground in management consulting, particularly with a focus on AI or digital transformation in CPGExperience in operational transformationExperience managing large-scale change management programs or AI rollouts in complex organizationsExceptional presentation skills: Able to create and deliver compelling narratives to executive audiences, driving strategic initiatives forward 🍩 Benefits & perks (US Full-time employees)Generous PTO, plus company holidaysMedical, dental, and vision coverage for you and your familyPaid parental leave for all parents (12 weeks)Fertility and family planning supportEarly-detection cancer testing through GalleriFlexible spending account and dependent FSA optionsHealth savings account for eligible plans with company contributionAnnual work-life stipends for:Home office setup, cell phone, internetWellness stipend for gym, massage/chiropractor, personal training, etc.Learning and development stipendCompany-wide off-sites and team off-sitesCompetitive compensation, company stock options and 401kWRITER is an equal-opportunity employer and is committed to diversity. We don't make hiring or employment decisions based on race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other basis protected by applicable local, state or federal law. Under the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.By submitting your application on the application page, you acknowledge and agree to WRITER's Global Candidate Privacy Notice.

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YOUR MISSION: We are on a mission to make creating and managing AI voice agents as easy as hiring and onboarding a human. Today, our platform serves highly technical users who configure advanced agent logic. Tomorrow, we envision an experience that keeps the depth and flexibility experts need while becoming more elegant, scalable, and intuitive. As our Lead Product Designer, you will drive the realisation of the design vision for expert-facing workflows such as AI agent setup, configuration tools, and workflow orchestration. You will guide your cross-functional product team in translating this vision into coherent, usable, and technically feasible product experiences that turn complexity into clarity. This is an opportunity to lead design for the core of our platform and define how experts build the next generation of conversational AI agents. IN THIS ROLE YOU WILL: Translate the design vision into your product team’s execution, ensuring clarity and usability across expert-facing workflows. Partner closely with product managers, engineers, and AI specialists to align on priorities, user needs, technical feasibility, and business impact. Balance depth and usability, ensuring powerful configuration capabilities remain approachable and efficient for expert users. Lead UX strategy within your product area, ensuring research insights shape both near-term decisions and long-term improvements. Prototype and explore advanced interaction models for workflows, logic building, and AI orchestration. Contribute hands-on design work while also setting direction and raising the quality of output within your product team. WHAT YOU BRING TO THE TABLE: 8+ years of experience in product design with a proven track record in complex domains, including two years in a lead capacity. Experience designing with AI tools as part of your workflow, for example, prototyping with generative design, exploring AI-assisted research, or testing adaptive experiences. Ability to design for configuration-heavy, expert-facing tools, balancing flexibility with clarity and efficiency. Strong systems thinking skills, with the ability to structure multi-layered flows with roles, states, and dynamic logic. Experience collaborating with product managers and engineers to drive product outcomes and influence strategic priorities. Mastery of interaction and visual design, with a portfolio that demonstrates elegant handling of highly complex interfaces. A research-driven mindset, grounded in user research, usability testing, and data-informed decision making. Technical fluency, with the ability to collaborate confidently with engineers and product managers. Strong communication and storytelling skills, with the ability to align and inspire cross-functional teams and leadership. NICE TO HAVE: Demonstrated experience creating human-AI interaction models that balance usability, transparency, and trust. Demonstrated experience designing tools and platforms that enable others to configure or manage AI systems, for example, workflow builders, agent setup tools, or machine learning configuration interfaces. Background or interest in conversational interfaces, automation tooling, or multimodal interaction design. Familiarity with design systems in a scaling team. Knowledge of voice technologies or telephony ecosystems. 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. Work from a home and/or our beautiful office(s) in the heart of Berlin or Munich with adjustable desks, social areas, fresh fruits, cereals, and drinks. Your recruiting process at Parloa: Recruiter video call → Meet your manager → Portfolio Walkthrough →  Engineering Lead Interview → Design Case Study → Leadership 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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About Us Observe.AI enables enterprises to transform how they connect with customers - through AI agents and copilots that engage, assist, and act across every channel. From automating conversations to guiding human agents in real time to uncovering insights that shape strategy, Observe.AI turns every interaction into a driver of loyalty and growth. Trusted by global leaders, we’re creating a future where every customer experience is smarter, faster, and more impactful. Why Join Us At our core, we are shaping how AI transforms real-world challenges in the contact center space. As part of our world-class ML team, you’ll work on developing cutting-edge LLM-powered solutions & Agentic AI, building end-to-end processing pipelines, and handling production challenges at scale—millions of interactions daily—while shaping the future of AI-powered contact centers.  If you are truly an engineer at heart, excited about turning breakthroughs in multi-agent systems, LLMs, NLP, and ML into practical outcomes through applied research, and building scalable production systems to create real product impact, you will feel right at home at Observe.AI. You’ll also have the opportunity to publish in top conferences, and influence Observe.AI’s product and platform strategy.  Beyond the tech, you’ll join a collaborative, mission-driven culture where innovation, impact, and fun go hand in hand. We value curiosity, collaboration, and the courage to push boundaries. What you’ll be doing Design & develop state-of-the-art LLM-powered AI capabilities and Agentic AI/ Multi-agent systems end-to-end, from ideation to production for Observe.AI’s product offerings, in a fast-paced startup environment. Work with cutting-edge tools and technologies in Machine Learning, Deep Learning & Natural Language Processing, including LLMs and LLM-powered technologies/ paradigms, including Agentic AI. Build/ maintain highly scalable production systems that power AI capabilities on Observe.AI product/ platform. Optimize ML models and processing pipelines for performance, cost-effectiveness, and scale. Work with a world-class ML team in building exciting stuff, mentor juniors, and influence peers/ stakeholders. Collaborate cross-team with engineers, product managers, customer-facing teams, and customers to understand pain points and business opportunities to build the right solution for the right problem. Keep up-to-date with the latest ML/ DL/ NLP literature and influence the technological evolution of Observe.AI platform. Contribute to the community through tech blogs and publishing papers in ML/ NLP conferences like EMNLP, ACL, etc. What you’ll bring to the role Bachelor’s or Master’s degree in Computer Science or related disciplines from a top-tier institution with exposure to ML/ DL/ NLP/ NLU. An engineering mindset with the competencies of an applied scientist.  3+ years of industry experience in building large-scale NLP/ NLU systems, with recent experience in building LLM-powered applications and Agentic systems. Strong understanding of the fundamentals of ML and NLP/ NLU, and practical aspects of building ML systems in production; backed by extensive hands-on experience in building/ scaling customer-facing ML/ NLP/ NLU applications. Good understanding of recent advances in building LLM-powered applications,  and multi-agent systems at scale.  Excellent implementation skills in Python and Machine Learning Frameworks such as Pytorch, Tensorflow, HuggingFace, etc., and deploying/ maintaining scalable machine learning systems in production. Ability to provide thought leadership in one or more technical areas of interest to Observe.AI, and influence product development Excellent communication, collaboration skills, and presentation skills. Experience with Spoken Language Understanding is a plus Published papers in top NLP/ NLU conferences or workshops are a plus Relevant open-source contributions are a plus. Perks & Benefits Excellent medical insurance options and free online doctor consultations Yearly privilege and sick leaves as per Karnataka S&E Act Generous holidays (National and Festive) recognition and parental leave policies Learning & Development fund to support your continuous learning journey and professional development Fun events to build culture across the organization Flexible benefit plans for tax exemptions (i.e. Meal card, PF, etc.) Our Commitment to Inclusion and Belonging Observe.AI is an Equal Employment Opportunity employer that proudly pursues and hires a diverse workforce. Observe AI does not make hiring or employment decisions on the basis of race, color, religion or religious belief, ethnic or national origin, nationality, sex, gender, gender identity, sexual orientation, disability, age, military or veteran status, or any other basis protected by applicable local, state, or federal laws or prohibited by Company policy. Observe.AI also strives for a healthy and safe workplace and strictly prohibits harassment of any kind. We welcome all people. We celebrate diversity of all kinds and are committed to creating an inclusive culture built on a foundation of respect for all individuals. We seek to hire, develop, and retain talented people from all backgrounds. Individuals from non-traditional backgrounds, historically marginalized or underrepresented groups are strongly encouraged to apply. If you are ambitious, make an impact wherever you go, and you're ready to shape the future of Observe.AI, we encourage you to apply. For more information, visit www.observe.ai.

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About Us: Observe.AI enables enterprises to transform how they connect with customers - through AI agents and copilots that engage, assist, and act across every channel. From automating conversations to guiding human agents in real time to uncovering insights that shape strategy, Observe.AI turns every interaction into a driver of loyalty and growth. Trusted by global leaders, we’re creating a future where every customer experience is smarter, faster, and more impactful. Why Join Us  At Observe.AI, DevOps isn’t just about maintaining infrastructure—it’s about building scalable, reliable, and secure systems that empower innovation across the organization. As a DevOps Engineer, you’ll help design and automate the foundation that powers our AI/ML platforms, ensuring seamless operations across AWS accounts, Kubernetes clusters, and diverse environments while driving efficiency and cost optimization. You’ll work on automation that goes beyond CI/CD, tackling challenges in scalability, reliability, and security, while collaborating closely with engineering, data, and product teams to create resilient systems. If you’re looking for an opportunity where your expertise shapes the future of our infrastructure, your work enables faster innovation, and your growth is fueled by solving meaningful challenges alongside a talented team, this is the place for you. What you’ll be doing  Help in the definition of best practices in production monitoring and alerting and able to own application of the same Assist and troubleshoot  in the setup and maintenance of various environments (Production, testing, etc) Automate, optimize and drive efficiency of effort, code, and process Be able to assist with product stability and closely collaborate with other tech teams to suggest improvements for the same Assist in the implementation of security best practices, especially in public cloud infrastructure and in audit/compliance requirements. Own integration of existing systems using appropriate Kubernetes/ docker / Terraform scripts to automate and improve the efficiency of the deployment  Develop CI/CD pipelines for various services Coordinate and monitor releases of the same What you’ll bring to the role Expertise in scripting and programming skills (e.g., Python, Shell, Go). Good problem-solving and hands-on with the programming language or scripting for infra-automation CI/CD experience with Jenkins and cloud deployment technologies like Code Deploy (AWS), and/or GitLab. Understanding of enterprise software development and infrastructure processes and lifecycle; ability to adjust and apply this knowledge in a dynamic environment using Agile or similar methodologies. Hands-on experience with Infrastructure as Code, using Terraform, CloudFormation, or other tools. Hands-on experience with microservices and distributed applications, such as orchestration and containers, Kubernetes, and/or serverless technology. Understanding of different kinds of infra components such as DB/pub-sub services/cache etc. Bachelors or Masters Degree in Engineering Perks & Benefits  Excellent medical insurance options and free online doctor consultations Yearly privilege and sick leaves as per Karnataka S&E Act Generous holidays (National and Festive) recognition and parental leave policies Learning & Development fund to support your continuous learning journey and professional development Fun events to build culture across the organization Flexible benefit plans for tax exemptions (i.e. Meal card, PF, etc.) Our Commitment to Inclusion and Belonging Observe.AI is an Equal Employment Opportunity employer that proudly pursues and hires a diverse workforce. Observe AI does not make hiring or employment decisions on the basis of race, color, religion or religious belief, ethnic or national origin, nationality, sex, gender, gender identity, sexual orientation, disability, age, military or veteran status, or any other basis protected by applicable local, state, or federal laws or prohibited by Company policy. Observe.AI also strives for a healthy and safe workplace and strictly prohibits harassment of any kind. We welcome all people. We celebrate diversity of all kinds and are committed to creating an inclusive culture built on a foundation of respect for all individuals. We seek to hire, develop, and retain talented people from all backgrounds. Individuals from non-traditional backgrounds, historically marginalized or underrepresented groups are strongly encouraged to apply. If you are ambitious, make an impact wherever you go, and you're ready to shape the future of Observe.AI, we encourage you to apply. For more information, visit www.observe.ai. 

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Black Forest Labs is a cutting-edge startup pioneering generative image and video models. Our team, which invented Stable Diffusion, Stable Video Diffusion, and FLUX.1, is currently looking for a strong candidate to join us in developing and maintaining our large GPU training clusters. Role & Responsibilities Design, deploy, and maintain large-scale ML training clusters running SLURM for distributed workload orchestration Implement comprehensive node health monitoring systems with automated failure detection and recovery workflows Partner with cloud and colocation providers to ensure cluster availability and performance Establish and enforce security best practices across the ML infrastructure stack (network, storage, compute) Build and maintain developer-facing tools and APIs that streamline ML workflows and improve researcher productivity Collaborate directly with ML research teams to translate computational requirements into infrastructure capabilities and capacity planning Required Experience Production experience managing SLURM clusters at scale, including job scheduling policies, resource allocation, and federation Hands-on experience with Docker, Enroot/Pyxis, or similar container runtimes in HPC environments Proven track record managingGPU clusters, including driver management and DCGM monitoring Preferred Qualifications Understanding of distributed training patterns, checkpointing strategies, and data pipeline optimization Experience with Kubernetes for containerized workloads, particularly for inference or mixed compute environments Experience with high-performance interconnects (InfiniBand, RoCE) and NCCL optimization for multi-node training Track record of managing 1000+ GPU training runs, with deep understanding of failure modes and recovery patterns Familiarity with high-performance storage solutions (VAST, blob storage) and their performance characteristics for ML workloads Experience running hybrid training/inference infrastructure with appropriate resource isolation Strong scripting skills (Python, Bash) and infrastructure-as-code experience

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Together AI is seeking a Lead DX Engineer – documentation to be the founding member of our docs team and focus on owning and improving our documentation. Docs are an incredibly important part of the success of our platform, so this is an important role that will be reporting to our Director of Developer Experience. This role is for a senior engineer who is obsessed about developer experience, enjoys writing and educating developers, and wants to lead building world class docs, including eventually building out their own team. We’re looking for someone with expertise to lead comprehensive documentation efforts and drive adoption among the global developer community. Required Qualifications 5+ years of experience in technical writing, engineering, and/or developer education Experience building AI applications and working with LLMs Proven track record of creating content (docs/guides/cookbooks) about developer tools Excellent technical communication skills with ability to explain complex concepts to various developer audiences Proficiency in writing code examples with Python and TypeScript Quickly adapt to new domains, learning and articulating complex concepts into clear, comprehensive content Understanding of LLM APIs including features like structured outputs & function calling a plus Key Responsibilities Lead the comprehensive documentation strategy across our products Write comprehensive guides on how to do inference, finetuning, and training on our platform Collab with the engineering team to document & showcase new features as they come out, with Python and TypeScript examples using our SDKs Create use case specific cookbooks and guides that address common customer use cases that use our API About Together AI Together AI is a research-driven artificial intelligence company. We believe open and transparent AI systems will drive innovation and create the best outcomes for society, and together we are on a mission to significantly lower the cost of modern AI systems by co-designing software, hardware, algorithms, and models. We have contributed to leading open-source research, models, and datasets to advance the frontier of AI, and our team has been behind technological advancement such as FlashAttention, Hyena, FlexGen, and RedPajama. We invite you to join a passionate group of researchers and engineers in our journey in building the next generation AI infrastructure. Compensation We offer competitive compensation, startup equity, health insurance and other competitive benefits. The US base salary range for this full-time position is: $160,000 - $240,000 + equity + benefits. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge. Equal Opportunity Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more. Please see our privacy policy at https://www.together.ai/privacy  

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Crusoe's mission is to accelerate the abundance of energy and intelligence. We’re crafting the engine that powers a world where people can create ambitiously with AI — without sacrificing scale, speed, or sustainability.Be a part of the AI revolution with sustainable technology at Crusoe. Here, you'll drive meaningful innovation, make a tangible impact, and join a team that’s setting the pace for responsible, transformative cloud infrastructure.Crusoe is building the World’s Favorite AI-first Cloud infrastructure company. We’re pioneering vertically integrated, purpose-built AI infrastructure solutions trusted by Fortune 500 companies to power their most advanced AI applications. Crusoe is redefining AI cloud infrastructure, with a mission to align the future of computing with the future of the climate. Our AI platform is recognized as the "gold standard" for reliability and performance. Our data centers are optimized for AI workloads and are powered by clean, renewable energy.Be part of the AI revolution with sustainable technology at Crusoe. Here, you'll drive meaningful innovation, make a tangible impact, and join a team that’s setting the pace for responsible, transformative cloud infrastructure.About the Role:We are seeking talented Software Engineers to design, build, and scale Crusoe Cloud’s customer-facing platforms and services. The Cloud Customer Experience (CCX) team is at the forefront of delivering a best-in-class user experience for our AI-focused cloud platform. Our mission is to provide an intuitive, seamless user flow while ensuring backend reliability and scalability that set us apart from the competition. Your work will focus on delivering highly scalable and reliable services for authentication, user management, billing, usage and much more.What are we working on?Design, develop, and maintain scalable and reliable services that power our cloud platform’s user-facing experiences.Collaborate with cross-functional teams, like product and design, to evaluate tools, frameworks, and customer needs, creating innovative solutions that differentiate Crusoe Cloud.Design and build backend systems that underpin our cloud platform, covering everything from authentication flows to scalable, reliable access to infrastructure resources.Contribute to architectural decisions that support reliability and maintainability across the companyMentor engineers, enhance hiring practices, and contribute to building a strong, inclusive engineering culture.At Crusoe, we are redefining cloud infrastructure by integrating data center operations with seamless user experiences. From developing turn-key AI cloud infrastructure to managing advanced data center operations, Crusoe is at the forefront of innovation in AI-first cloud computing. Join us to help shape a platform that reduces carbon emissions while delivering best-in-class cloud services.A day in the life:Design and Deliver Customer Solutions: Build scalable, reliable cloud services, such as user access management, Gateways, user features, and notification systems, tailored to customer needs.Focus on Customer Empowerment: Partner with customer success and operations teams to create intuitive tools that enhance the end-user experience.Automate and Optimize: Develop automation software that simplifies infrastructure deployment and management for seamless customer operations.Innovate: Implement features that differentiate Crusoe Cloud, focusing on operational efficiency, low-touch adoption, turn-key AI services and scalability.Collaborate Across Teams: Work closely with cloud support, engineering, and site reliability teams to align technical solutions with customer feedback and operational goals.Mentor and Lead: Guide engineers through design discussions, code reviews, and best practices, fostering a culture of technical excellence and customer-centricity.You Will Thrive In This Role If You Have:Customer-Centric Mindset: A passion for creating intuitive, high-quality solutions that directly impact customer success and satisfaction. Any experience building out infrastructure tooling is a plusProfessional Experience: 3+ years of software development experience, including programming with modern compiled languages such as Go, Rust, Java, or C++.Cloud Expertise: Proven ability to design and scale fault-tolerant distributed systems and develop managed cloud services.Technical Proficiency: Strong fundamentas in data structures, algorithms, microservices, and infrastructure tools like Docker, Kubernetes, Terraform, and CI/CD systems.Collaboration Skills: Ability to work with cross-functional teams to align priorities and deliver customer-first solutions.Mentorship Abilities: Experience guiding engineers, improving hiring and onboarding processes, and driving team growth.Communication Skills: Exceptional ability to articulate complex ideas and align technical solutions with customer needs.Benefits:Hybrid work scheduleIndustry competitive payRestricted Stock Units in a fast-growing, well-funded technology companyHealth insurance package options that include HDHP and PPO, vision, and dental for you and your dependentsEmployer contributions to HSA accountsPaid Parental LeavePaid life insurance, short-term and long-term disabilityTeladoc401(k) with a 100% match up to 4% of salaryGenerous paid time off and holiday scheduleCell phone reimbursementTuition reimbursementSubscription to the Calm appMetLife LegalCompany paid commuter benefit; $300 per pay periodCompensation RangeCompensation will be paid in the range of $166,000 - $201,000. Restricted Stock Units are included in all offers. Compensation to be determined by the applicants knowledge, education, and abilities, as well as internal equity and alignment with market data.Crusoe is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation.

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About UsAt Hayden AI, we are on a mission to harness the power of computer vision to transform the way transit systems and other government agencies address real-world challenges.From bus lane and bus stop enforcement to transportation optimization technologies and beyond, our innovative mobile perception system empowers our clients to accelerate transit, enhance street safety, and drive toward a sustainable future.Job Summary:The Engineering Manager, State Estimation will lead a high-performing team focused on developing advanced mapping, localization, and SLAM (Simultaneous Localization and Mapping) solutions for embedded camera systems. You will oversee the research, development, and deployment of large-scale mapping and localization solutions, while shaping the technical roadmap and ensuring successful collaboration across device, cloud, and applied AI teams.Responsibilities: Build, mentor, and manage a team of engineers developing state-of-the-art mapping, localization, and SLAM algorithms.Set technical direction and project priorities, aligning them with broader organizational goals.Drive high-impact, cross-functional projects from conception through deployment, coordinating with research, hardware, and product teams.Provide technical guidance on algorithm design, system architecture, and implementation, while ensuring best practices in software development and performance optimization.Foster a culture of innovation, technical rigor, and collaboration across the team.Develop and maintain project roadmaps, milestones, and technical documentation.Partner with senior leadership to define long-term strategies for localization, state estimation, and multi-sensor calibration.Review and approve designs, architectures, and implementations, ensuring technical excellence and scalability.Lead recruitment, hiring, and performance management to grow a world-class engineering team.Required Qualifications:Bachelor of Science degree (M.S. or Ph.D. preferred) in Electrical and Computer Engineering, Robotics, Machine Learning, Computer Science, or a related field.10+ years of industry experience (8+ years with an M.S., 6+ years with a Ph.D.), including significant leadership or management responsibilities.Proven experience leading engineering teams working on state estimation, localization, or SLAM technologies.Strong foundation in C++ development, geometric computer vision, stochastic processes, and nonlinear/convex optimization.Deep understanding of filtering algorithms (e.g., Kalman, particle filters) and optimization-based methods (e.g., nonlinear least squares).Familiarity with camera geometry, structure from motion, multi-sensor fusion, factor graphs, and related state estimation concepts.Strong track record of technical execution combined with leadership and team-building skills.Exceptional communication skills, with the ability to collaborate effectively across engineering, research, and product functions.Experience in technology transfer and delivering research innovations into production systems.Preferred Qualifications:Demonstrated success deploying SLAM/VIO estimators in real-world applications.Experience with multi-sensor systems, including GPS, IMU, camera, and wheel odometry.Exposure to integrating deep learning with classical state estimation approaches.Strong record of published research or contributions to the robotics and computer vision community.Experience scaling and leading multi-disciplinary engineering teams

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About UsAt Hayden AI, we are on a mission to harness the power of computer vision to transform the way transit systems and other government agencies address real-world challenges.From bus lane and bus stop enforcement to transportation optimization technologies and beyond, our innovative mobile perception system empowers our clients to accelerate transit, enhance street safety, and drive toward a sustainable future. What the job involvesAs an Engineering Manager, you will lead the development and refinement of a cutting-edge perception system, leveraging deep learning for real-world applications. Your expertise in computer vision, deep learning, and team leadership will drive performance improvements and seamless integration across the company. ResponsibilitiesOversee the entire perception system development life cycle, from problem definition to deployment and ongoing improvement. Lead a team of computer vision and perception engineers to develop and refine the system in a hands-on manner. Spearhead the development of robust computer vision algorithms for object detection, tracking, semantic segmentation, and classification. Champion the development and training of deep learning models for complex urban scene perception and real-time analysis. Collaborate with cross-functional teams (cloud/device) for seamless integration and monitoring of perception models.Analyze data to identify performance bottlenecks and opportunities for enhancing the perception system. Foster automation in the improvement cycles of deep learning models used within the perception system.Communicate technical findings and insights effectively to stakeholders across the company to drive performance improvements. Utilize data visualization tools to present complex information clearly for informed decision-making.  QualificationsPh.D. or Master's in Robotics, Machine Learning, Computer Science, Electrical Engineering, or a related field.2+ years leading and managing teams focused on developing real-world computer vision and perception systems using deep learning on edge devices. Proven ability to deploy these systems with:Deep Learning Frameworks: Expertise in PyTorch or TensorFlow (one mandatory, familiarity with both a plus).Computer Vision Libraries: OpenCV.Deployment Optimization Tools: TensorRT.Strong Python programming and software design with experience in Pandas.Experience deploying DL models to run on real-world, resource-constrained, systems with a pragmatic approach towards problem-solving.Demonstrated proficiency in data science and traditional machine learning (SVMs, Random Forests). Prior experience with automated machine learning pipelines is desirable.Proven industry track record with experience in:Automated data annotation for computer vision.Training multi-task and semi-supervised deep learning models for video data.Familiarity with designing multi-modal deep learning models incorporating temporal context and geometrical constraints is a plus.

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About Resolve AIAt Resolve, we’re building Agentic AI that empowers software engineers by automating production engineering and SRE workflows. Our models deeply understand production systems — from code to databases — taking on repetitive, high-pressure tasks and handling critical incidents autonomously, so engineers can focus on building.Our founders (Spiros Xanthos and Mayank Agarwal) are the core creators of OpenTelemetry and led Splunk Observability. They have had 2 successful exits to Splunk and VMware.We raised a $35M Seed round from top-tier investors like Greylock, Unusual Ventures, Jeff Dean (Chief Scientist, Google DeepMind), Thomas Dohmke (CEO, GitHub), Matt Garman (CEO, AWS), Reid Hoffman (Founder, LinkedIn) and Fei Fei Li (Professor, Stanford).Joining Resolve AI at this stage of our journey is a once-in-a-lifetime opportunity. You’ve already decided that you want to work at an AI-native company that’s pushing the limits of how engineers work, and now you’re looking for the right one. At Resolve, we’ve brought together experienced (and successful) entrepreneurs, experts in understanding our customers, and leading innovators in AI and distributed systems. Now we need the right people to help us tell that story—one prospect at a time. Join Resolve as a founding go-to-market team member, helping us build and execute the playbook to drive repeatable revenue while also building a respected brand within the engineering community.What You’ll DoAs a Forward Deployed Engineer, you’ll be on the frontlines with our largest prospects and customers deploying Resolve in complex environments and ensuring our technology delivers real-world impact. You’ll partner closely with our Go-To-Market team during high-stakes POCs, bridging deep technical execution with customer-facing collaboration.In this role, you will:Lead end-to-end technical deployments of Resolve within customer environments, from scoping through production readiness.Work directly with GTM and customer engineering teams during large-scale POCs to ensure adoption and success.Troubleshoot, configure, and optimize deployments across cloud, observability, and infrastructure stacks.Serve as a trusted technical advisor to customers, understanding their observability and reliability challenges and guiding best practices.Collaborate with product and engineering to translate field learnings into roadmap priorities and reusable patterns.Build automation, scripts, and integrations that accelerate deployment and improve repeatability.What We’re Looking ForWe’re seeking a rare blend of engineer, customer partner, and problem solver. The ideal candidate has lived the pain of running production systems and thrives at the intersection of observability, software engineering, and customer delivery.4+ years of professional software engineering or site reliability engineering experience.Hands-on experience with observability tools (e.g., OpenTelemetry, Datadog, Splunk, Prometheus, Grafana, etc.).Strong system-level understanding of cloud infrastructure (AWS, GCP, Kubernetes).Track record of success in customer-facing or solutions engineering roles (Forward Deployed Engineer, Sales Engineer, or similar).Ability to simplify complex technical problems and communicate them clearly to both engineers and business stakeholders.Comfort operating in high-stakes, ambiguous environments where speed and quality both matter.Bonus: prior experience as an observability practitioner or Sales Engineer.Why Join Resolve AI?Make a Real Impact: Join a mission-driven team tackling complex challenges that deliver meaningful outcomes for customers and revolutionize engineering operations.Shape Agentic AI’s Future: Help build the next frontier in enterprise software and define its transformative impact.Own Your Work: Take end-to-end responsibility in your role in a collaborative, high-trust environment.Accelerate Your Career: Grow alongside industry leaders in a fast-paced environment, gaining invaluable experience and opportunities to propel your career to new heights.Competitive Benefits: Competitive Pay Packages with full benefits including:Equity with Early Exercise & QSBS EligibilityComprehensive Medical, Dental, and Vision InsuranceMonthly Housing StipendFlexible (Unlimited) Paid Time OffVisa Sponsorship & Immigration Support401(k) PlanParental LeaveDiscretionary Tech Benefit StipendDaily in-office Lunches and DinnersWe are an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender, gender identity, sexual orientation, protected veteran status, disability, age, and other characteristics protected by law. 

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About SolaSola is building the agentic automation platform powering the enterprises of tomorrow. Founded in 2023 by Jessica Wu and Neil Deshmukh (MIT alums, ex-IBM Watson, Citadel Securities, MGH/BWH), we’ve raised $21M in total funding from a16z and Conviction, with additional backing from Y Combinator (S23) and the founders of Dropbox, Zoom, Zapier, Scale, and more.In just one year, Sola has been adopted by Fortune 500s, top U.S. law firms, and leading private enterprises across finance, healthcare, legal, and supply chain.Our team in NYC includes industry leaders who have built and scaled world-class businesses, contributed to top quant funds, crypto projects, and research labs—and been founders themselves.What We’re BuildingWe’ve reimagined enterprise process automation to safely and effortlessly apply foundation AI models across web and desktop interfaces at scale. Our work spans:AI-enabled error correction algorithmsAgentic workflow orchestrationMarkov decision models with AI inputsAI desktop infrastructureOur workflow automation product is just the beginning—the hardest challenges are still ahead.If you’re excited to bring Figma-level UI/UX excellence to automation and build trusted tools for mission-critical processes, we’d love to meet you.As a Senior Backend Engineer, you will:Own systems that automate repetitive work across hundreds of browser and desktop platforms, handling concurrency, reliability, and observability at scaleCollaborate with our CTO and ML research partners to bring state-of-the-art agentic workflows into productionArchitect and scale backend infrastructure to power our visual workflow builder – a Figma-style interface used daily by non-technical ops teamsDesign and implement services that integrate with cutting-edge AI models to generate workflows, parse documents, and drive adaptive execution logicDeploy and manage services in Kubernetes, ensuring scalability, resilience, and performance in production environmentsWhat We’re Looking ForFluency in Typescript and Python (both required)Hands-on experience with Kubernetes (designing, deploying, and scaling production services)4+ years of experience building scalable distributed systems at enterprise scale (the more battle scars, the better)Prior experience at an early-stage startupProven ability to collaborate with engineers and PMs to break down high-level goals into shippable milestonesMust be available in NYC (we’ll cover relocation)Nice to have: prior experience with distributed workflow orchestration such as Cadence or Temporal.ioBenefits🌇 Where: In-person in NYC (we believe the best work happens together) 💸 Compensation: Competitive salary + meaningful equity 🩺 Healthcare: Comprehensive medical, dental, and vision (Big Tech level) 📈 401k: Easy enrollment with smart savings options 🍽️ Meals: Daily lunches, dinners, and snacks 🏝️ Time Off: Up to 4 weeks flexible PTO👉 Join us if you want to shape the future of automation, push the boundaries of AI-driven systems, and work shoulder-to-shoulder with a world-class NYC team.

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About Mistral At Mistral we are on a mission to democratize AI, producing frontier intelligence for everyone, developed in the open, and built by engineers all over the world. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation, with teams distributed between Europe, the USA and Asia. We are creative, low-ego and team-spirited. At Mistral, we develop models for the enterprise and for consumers, focusing on delivering systems which can really change the way in which businesses operate and which can integrate into our daily lives. All while releasing frontier models open-source, for everyone to try and benefit. Mistral is hiring experts in the training of large language models and distributed systems. Join us to be part of a pioneering company shaping the future of AI. What will you do *Research and develop novel methods to push the frontier of large language models*Work across use cases (e.g reasoning, code, agents) and modalities (e.g text, image and speech)*Build tooling and infrastructure to allow training, evaluation and analysis of AI models at scale*Work cross-functionally with other scientists, engineers and product teams to ship AI systems which have a real-world impact About you * An expert in speech input/output methodologies (specific to audio)*You are a highly proficient software engineer in at least one programming language (Python or other, e.g. Rust, Go, Java)*You have hands-on experience with AI frameworks (e.g. PyTorch, JAX) or distributed systems (e.g. Ray, Kubernetes)*You have high engineering competence. This means being able to design complex software and make it usable in production*You are a self-starter, autonomous and a team player Now, it would be ideal if* You have experience working with large-scale speech-language models*You have hands-on experience with training large transformer models in a distributed fashion*You can navigate the full MLOps stack, for instance, fine-tuning, evaluation and deployment *You have a strong publication record in a relevant scientific domain Note that this is not an exhaustive or necessary list of requirements. Please consider applying if you believe you have the skills to contribute to Mistral's mission. We value profile and experience diversity. Benefits France💰 Competitive cash salary and equity🥕 Food : Daily lunch vouchers🥎 Sport : Monthly contribution to a Gympass subscription 🚴 Transportation : Monthly contribution to a mobility pass🧑‍⚕️ Health : Full health insurance for you and your family🍼 Parental : Generous parental leave policy🌎 Visa sponsorship UK💰 Competitive cash salary and equity🚑 Insurance🚴 Transportation: Reimburse office parking charges, or 90GBP/month for public transport🥎 Sport: 90GBP/month reimbursement for gym membership🥕 Meal voucher: £200 monthly allowance for its meals💰 Pension plan: SmartPension (percentages are 5% Employee & 3% Employer)

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Meet SienaSiena is the first intelligence layer for customer experience. We're creating an operating system of AI agents that learn, remember, and act across every customer touchpoint—from support conversations to shopping experiences to voice and social media interactions.Siena doesn't just automate support; it powers shopping agents, builds persistent customer memory, generates actionable business insights, and creates empathetic interactions that feel human. We're transforming how businesses understand and connect with their customers, turning every interaction into intelligence that makes the next one better.The teamWe're a small, distributed team that punches way above our weight. Every person here has outsized impact because we've built leverage into everything we do. This philosophy makes us faster and, frankly, more fun to work with.If you're excited about building something that doesn't exist yet, keep reading. We're building agents that don't just respond to customers—they remember them, learn from every interaction, and connect experiences across channels.What we’re looking forYou’re a builder who thrives at the frontier of AI agents, customer experience, and e-commerce. We're looking for someone who can own critical domains in our AI agent ecosystem:. You’ll build new agent capabilities, deploy evals, build process, collaborate closely with other PMs and our CEO to create the infrastructure for the future of e-commerce and CX.You have3+a years of product management experience with technical B2B products, ideally CX, e-commerce or AI automationAI-native mindset—you live in Claude, Cursor, v0, and often max out your daily LLMs limitsTechnical fluency with APIs and integrations—you can scope webhook systems, OAuth flows, and complex third-party connectionsCuriosity and a builder mindset—you like to build things and continuously learn new thingsFull-cycle ownership mentality—you find opportunities, run projects, write docs, run demos, enable sales teams, and measure adoptionCustomer-facing confidence—you thrive talking with customers, running demos, and co-selling alongside the sales teamYou thrive whenBuilding complex AI systems Designing evaluation systems that automatically improve agent performanceShipping new capabilities that change how shopping happens onlineYou get energized by not just shipping new capabilities, but seeing customers adopt themWhat you’ll doYou’ll be the third PM on a elite team building the future of customer experience and e-commerce. Think full-cycle ownership—from discovery to shipping to enabling customers and internal teams.Build new agent capabilities and create agents that work seamlessly across platforms.Design and ship evaluation systems that make our agents continuously smarter. Build QA suites, automated testing, and performance monitoring that catches issues before customers do.Own platform automation and onboarding to help customers go live in days, not weeks. Create AI tools that reduce manual implementation work.Expand our integrations ecosystem by shipping new platforms and enterprise app requirements. Make it easy for customers to connect their entire tech stack.Run full launch cycles from internal testing to early access to GA, including customer enablement through webinars, documentation, and training sessions.Demo your own products to customers and co-sell alongside sales. You’ll be known by name in our customer Slack communities as the PM who ships what they need.How we hireFill in a short form then jump on an intro call where we’ll discuss your experience building products and managing technical launches.Build a hands-on case study—vibe code a small AI feature with a live link and Loom walkthrough covering your approach.Join us for a round of interviews to discuss your experience in more depth.Work with us for a trial week on a real project. Ship something meaningful while experiencing our culture firsthand. We'll see how you work, you'll meet the team, and we'll both figure out if Siena feels right for you.Why Siena?Meaningful impact. Your work directly shapes our product and company.Globally distributed team working at the bleeding edge of CX and AI.Great salary plus the opportunity for equity or stock grants.Learning budget. If you're growing, so are we.The thrill of building something new. Join us at a stage where your contributions matter most.AI-fluency. Make AI your second nature. Tackle unsolved problems. We’re redefining how customer experience will look like in the next decades.Our valuesThe people who thrive here are curious, customer-obsessed, and take ownership without being asked. They fix problems first and explain later. They're direct about feedback—both giving and receiving it—because they care more about getting things right than being polite. They maintain high standards while moving at startup speed, and they build real relationships with teammates because they know that's how great work gets done. When things get tough, they adapt and keep pushing forward.Our approach to AIThe people who thrive here treat AI like a natural extension of themselves. They've built their own ecosystem of agents - some for research, others for debugging, writing, analysis, or writing code. They know which AI works best for what problem.Everyone gets premium accounts (ChatGPT, Claude, Perplexity Pro, Cursor, Lovable) plus a quarterly budget for new tools. But the magic happens in how we share knowledge. Demo days where someone shows off a clever workflows. Slack threads about which model handles a specific use case better. Learning from each other's AI workflows.At Siena, we’re not just looking for people who can do a job. We’re looking for people who want to break boundaries, create the future, and reshape industries. If that’s you, we look forward to your application.Siena provides equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity, or gender expression. We are committed to a diverse and inclusive workforce and welcome people from all backgrounds, experiences, perspectives, and abilities.

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Who We Are HP IQ is HP’s new AI innovation lab. Combining startup agility with HP’s global scale, we’re building intelligent technologies that redefine how the world works, creates, and collaborates. We’re assembling a diverse, world-class team—engineers, designers, researchers, and product minds—focused on creating an intelligent ecosystem across HP’s portfolio. Together, we’re developing intuitive, adaptive solutions that spark creativity, boost productivity, and make collaboration seamless. We create breakthrough solutions that make complex tasks feel effortless, teamwork more natural, and ideas more impactful—always with a human-centric mindset. By embedding AI advancements into every HP product and service, we’re expanding what’s possible for individuals, organisations, and the future of work. Join us as we reinvent work, so people everywhere can do their best work.About The Role HP IQ’s Product Design Engineering team is responsible for ideating, designing, engineering, and creating the next generation of connected, AI-powered products driving the future of intelligent devices. The PD team is integral in defining products, working closely with industrial designers, hardware engineers, software engineers, and interaction designers to bring ideas to life. We value creativity and breaking down barriers. We iterate, iterate, and iterate again until it’s right. We seek passionate individuals who aren’t afraid to step outside their comfort zone. What You Might Do Design and develop cutting-edge intelligent devices Drive product development with our manufacturing partners; some travel abroad may be required Build prototypes, test them to failure, and iterate quickly Help define and drive the product roadmap and timelines Essential Qualifications 5+ years mechanical design experience Experience using 3D CAD (NX preferred) to design densely packaged electronic devices: PCBs, flexes, antennas, and batteries, etc. Strong knowledge of various materials and scalable manufacturing processes BS in Mechanical Engineering, MS a plus Preferred Skills Experience building complex electronic products Ability to independently manage tasks and clearly communicate issues and needs Passion for working on highly creative, fast-paced, and collaborative teams alongside industrial designers, hardware engineers, and UX designers Comfortable designing slides and making presentations to the leadership team Familiarity with multiple product and project development disciplines, their dependencies, and how they interact Desire to work in a collaborative environment where honesty and accountability are paramount Salary: $132,000- $230,000Compensation & Benefits (Full-Time Employees) The salary range for this role is listed above. Final salary offered is based upon multiple factors including individual job-related qualifications, education, experience, knowledge and skills. At HP IQ, we offer a competitive and comprehensive benefits package, including: Health insurance Dental insurance Vision insurance Long term/short term disability insurance Employee assistance program Flexible spending account Life insurance Generous time off policies, including;  4-12 weeks fully paid parental leave based on tenure 11 paid holidays Additional flexible paid vacation and sick leave (US benefits overview) Why HP IQ? HP IQ is HP’s new AI innovation lab, building the intelligence to empower humanity—reimagining how we work, create, and connect to shape the future of work. Innovative Work Help shape the future of intelligent computing and workplace transformation. Autonomy and Agility Work with the speed and focus of a startup, backed by HP’s scale. Meaningful Impact Build AI-powered solutions that help people and organisations thrive. Flexible Work Environment Freedom and flexibility to do your best work. Forward-Thinking Culture We learn fast, stay future-focused, and imagine what comes next—together. Equal Opportunity Employer (EEO) Statement HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s). Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence. If you’d like more information about HP’s EEO Policy or your EEO rights as an applicant under the law, please click here: Equal Employment Opportunity is the Law Equal Employment Opportunity is the Law – Supplement

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Figure is an AI Robotics company developing a general purpose humanoid. Our Humanoid is designed for corporate tasks targeting labor shortages and jobs that are undesirable or unsafe. We are based in Sunnyvale, CA and require 5 days/week in-office collaboration.  We are looking for a Senior FEA Engineer to design, analyze, and test key hardware components for our humanoid.    Responsibilities: Define and analyze load cases for our humanoid robot Analyze full robot stiffness Create finite element models to analyze falling, overload, durability and day to day operations Optimize design of parts and structures for minimizing weight and maximizing stiffness Work with mechanical team to develop FEA workflow and tutorials  Collaborate with mechanical, industrial design and electrical teams to architect the system Test systems in the real world and compare against finite element models. Pay close attention to modeling of bearing and other OTS components. Collaborate with controls engineers to determine load profiles  Help define materials (metals, polymers and textiles) for critical robot components Requirements:  Expert knowledge of solid mechanics Expert in setting up and running implicit and explicit finite element analysis models Experience modeling metals and polymers Experience with durability analysis methods Experience working with suppliers to characterize new polymers Bonus Qualifications:  CATIA V6 Experience Expert in ABAQUS Experience with soft goods materials including textiles Experience working with system level modeling and physics engines such as MuJoCo Modeling of structural resonance frequency The US base salary range for this full-time position is between $150,000 and $225,000 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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Building the Future of Open Source + Decentralized AIPrime Intellect is building the open superintelligence stack - from frontier agentic models to the infra that enables anyone to create, train, and deploy them. We aggregate and orchestrate global compute into a single control plane and pair it with the full rl post-training stack: environments, secure sandboxes, verifiable evals, and our async RL trainer. We enable researchers, startups and enterprises to run end-to-end reinforcement learning at frontier scale, adapting models to real tools, workflows, and deployment contexts.We recently raised $15mm in funding (total of $20mm raised) led by Founders Fund, with participation from Menlo Ventures and prominent angels including Andrej Karpathy (Eureka AI, Tesla, OpenAI), Tri Dao (Chief Scientific Officer of Together AI), Dylan Patel (SemiAnalysis), Clem Delangue (Huggingface), Emad Mostaque (Stability AI) and many others.Role ImpactThis is a hybrid position spanning cloud LLM serving, LLM inference optimization and RL systems. You will be working on advancing our ability to evaluate and serve models trained with our Environment Hub at scale. The two key areas are:Building the infrastructure to serve LLMs efficiently at scale.Optimization and integration of inference systems into our RL training stack.Core Technical ResponsibilitiesLLM ServingMulti‑tenant LLM Serving: Build a multi-tenant LLM serving platform that operates across our cloud GPU fleets.GPU‑Aware Scheduling: Design placement and scheduling algorithms for heterogeneous accelerators.Resilience & Failover: Implement multi‑region/zone failover and traffic shifting for resilience and cost control.Autoscaling & Routing: Build autoscaling, routing, and load balancing to meet throughput/latency SLOs.Model Distribution: Optimize model distribution and cold-start times across clusters.Inference Optimization & PerformanceFramework Development: Integrate and contribute to LLM inference frameworks such as vLLM, SGLang, TensorRT‑LLM.Parallelism and Configuration Tuning: Optimize configurations for tensor/pipeline/expert parallelism, prefix caching, memory management and other axes for maximum performance.End‑to‑End Performance: Profile kernels, memory bandwidth and transport; apply techniques such as quantization and speculative decoding.Perf Suites: Develop reproducible performance suites (latency, throughput, context length, batch size, precision).RL Integration: Embed and optimize distributed inference within our RL stack.Platform & ToolingCI/CD: Establish CI/CD with artifact promotion, performance gates, and reproducible builds.Observability: Build metrics, logs, tracing; structured incident response and SLO management.Docs & Collaboration: Document architectures, playbooks, and API contracts; mentor and collaborate cross‑functionally.Technical RequirementsRequired ExperienceBuilding ML Systems at Scale: 3+ years building and running large‑scale ML/LLM services with clear latency/availability SLOs.Inference Backends: Hands‑on with at least one of vLLM, SGLang, TensorRT‑LLM.Distributed Serving Infra: Familiarity with distributed and disaggregated serving infrastructure such as NVIDIA Dynamo.Inference Internals: Deep understanding of prefill vs. decode, KV‑cache behavior, batching, sampling, speculative decoding, parallelism strategies.Full‑Stack Debugging: Comfortable debugging CUDA/NCCL, drivers/kernels, containers, service mesh/networking, and storage, owning incidents end‑to‑end.Infrastructure SkillsPython: Systems tooling and backend services.PyTorch: LLM Inference engine development and integration, deployment readiness.Cloud & Automation: AWS/GCP service experience, cloud deployment patterns.Kubernetes: Running infrastructure at scale with containers on Kubernetes.GPU & Networking: Architecture, CUDA runtime, NCCL, InfiniBand; GPU‑aware bin‑packing and scheduling across heterogeneous fleets.Nice to HaveKernel‑Level Optimization: Familiarity with CUDA/Triton kernel development; Nsight Systems/Compute profiling.Systems Performance Languages: Rust, C++.Data & Observability: Kafka/PubSub, Redis, gRPC/Protobuf; Prometheus/Grafana, OpenTelemetry; reliability patterns.Infra & Config Automation: Terraform/Ansible, infrastructure-as-code, reproducible environmentsOpen Source: Contributions to serving, inference, or RL infrastructure projects.What We OfferCompetitive compensation with significant equity incentivesFlexible work arrangement (remote or San Francisco office)Full visa sponsorship and relocation supportProfessional development budgetRegular team off-sites and conference attendanceOpportunity to shape decentralized AI and RL at Prime IntellectGrowth OpportunityYou'll join a team of experienced engineers and researchers working on cutting-edge problems in AI infrastructure. We believe in open development and encourage team members to contribute to the broader AI community through research and open-source contributions.We value potential over perfection. If you're passionate about democratizing AI development, we want to talk to you.Ready to help shape the future of AI? Apply now and join us in our mission to make powerful AI models accessible to everyone.