Find AI Work That Works for You

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Why Delphi? At Delphi, we are redefining how knowledge is shared by creating a new medium for human communication: interactive digital minds that people can talk to, learn from, and be guided by.The internet gave us static profiles and endless feeds. Delphi is something different: a living, interactive layer of identity. It carries your voice, perspective, and judgment into every conversation—so people don’t just read about you, they experience how you think.Our mission is bold:Make human wisdom abundant, personalized, and discoverable.Preserve legacies, unlock opportunities, and scale brilliance across generations.Delphi becomes everyone's living profile to show what you know.We are trusted and loved by thousands of the world’s most brilliant minds from Simon Sinek to Arnold Schwarzenegger (interact with all of them here). We have tripled revenue, users, and Delphi interactions in the past 6 months - all organically through word of mouth. We plan to accelerate even further from here.Delphi’s investors include Sequoia Capital, Founders Fund, Abstract Ventures, Michael Ovitz, Gokul Rajaram, Olivia Wilde, and dozens of founders from Lyft, Zoom, Doordash, and many more. Our team includes founders with successful exits and builders from Apple, Spotify, Substack and more.Learn more about Delphi and this position by calling the CEO’s digital mind here!The RoleAs VP of Engineering, you will own and scale Delphi’s engineering organization as we move into our next phase of exponential growth. You’ll set the technical vision, build high-performance teams, and partner closely with product, design, and leadership to to support the next phase of Delphi.This is a role for someone who wants to help shape the future of human connection, scale wisdom for billions, and build something that will outlast us all.What You’ll DoDefine and execute on the technical vision and architecture for systems serving millions of digital minds.Build and lead the engineering organization to a standard of excellence - establish technical precision practices and foster ownership-driven culture where engineers proactively solve problems.Drive engineering execution - consistently ship high-quality systems quickly, balancing speed and durability.Partner cross-functionally with product, design, and leadership to align strategy and deliver ambitious roadmaps.Raise the bar: mentor leaders, establish a world class engineering culture, and ensure Delphi remains a magnet for top talent.What You Bring7+ years of engineering experience, with 2+ years leading teams of 10+ engineers in a hyper-growth, high-expectation environment.A proven track record of building teams and shipping large-scale, high-impact systems.Executive communication skills: can translate between technical and non-technical audiences.First-principles thinker, comfortable navigating ambiguity and inventing new playbooks.Ability to build an ownership-driven engineering culture where teams consistently exceed expectations, beat deadlines, and take complete responsibility for their domains.Why You'll Love It Here We work on hard problems. Our team is full of former founders, and entrepreneurial individuals who are taking on immense initiatives.There is extreme upside. Very competitive salary and equity in a company on a breakout trajectory.We push each other. Work from our beautiful Jackson Square office in San Francisco, surrounded by peers pushing to do their best work.BenefitsUnlimited Learning Stipend: Whether it’s books, courses, or conferences, we want to support your growth and development. The more you learn and improve your craft the more effective we will be together.Health, Dental, Vision: Comprehensive coverage to keep to take care of your health.401k covered by Human Interest.Relocation support to SF (as needed)If you’re looking for just a job, Delphi isn’t the right fit. But if you want to shape the future of human connection, scale wisdom for billions, and build something that will outlast us all - you’ll feel at home here.

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About the TeamThe Workload team is responsible for designing and running OpenAI’s LLM training and inference infrastructure that powers frontier models at massive scale. Our systems unify how researchers train and serve models, abstracting away the complexity of performance, parallelism, and execution across vast GPU/accelerator fleets. By providing this foundation, the Workload team ensures that researchers can focus on advancing model capabilities while we handle the scale, efficiency, and reliability required to bring those models to life.About the RoleWe are looking for an engineer to design and implement the dataset infrastructure that powers OpenAI’s next-generation training stack. You will be responsible for building standardized dataset interfaces, scaling pipelines across thousands of GPUs, and proactively testing performance bottlenecks. In this role, you will collaborate closely with the multimodal researchers, and other infra groups to ensure datasets are unified, efficient, and easy to consume.In this role, you will:Design and maintain standardized dataset APIs, including for multimodal (MM) data that cannot fit in memory.Build proactive testing and scale validation pipelines for dataset loading at GPU scale.Collaborate with teammates to integrate datasets seamlessly into training and inference pipelines, ensuring smooth adoption and a great user experience.Document and maintain dataset interfaces so they are discoverable, consistent, and easy for other teams to adopt.Establish safeguards and validation systems to ensure datasets remain reproducible and unchanged once standardized.Debug and resolve performance bottlenecks in distributed dataset loading (e.g., straggler systems slowing global training).Provide visualization and inspection tools to surface errors, bugs, or bottlenecks in datasets.You might thrive in this role if you:Have strong engineering fundamentals with experience in distributed systems, data pipelines, or infrastructure.Have experience building APIs, modular code, and scalable abstractions, while recognizing that abstractions ultimately serve the users and UX is an important part of the abstractions design.Are comfortable debugging bottlenecks across large fleets of machines.Take pride in building infrastructure that “just works,” and find joy in being the guardian of reliability and scale.Are collaborative, humble, and excited to own a foundational (if not glamorous) part of the ML stack. Bonus points if you:Have background knowledge in data math, probability, or distributed data theory.Have worked with GPU-scale distributed systems or dataset scaling for real-time dataAbout OpenAIOpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.OpenAI Global Applicant Privacy PolicyAt OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

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About Us:webAI is pioneering the future of artificial intelligence by establishing the first distributed AI infrastructure dedicated to personalized AI. We recognize the evolving demands of a data-driven society for scalability and flexibility, and we firmly believe that the future of AI lies in distributed processing at the edge, bringing computation closer to the source of data generation. Our mission is to build a future where a company's valuable data and intellectual property remain entirely private, enabling the deployment of large-scale AI models directly on standard consumer hardware without compromising the information embedded within those models. We are developing an end-to-end platform that is secure, scalable, and fully under the control of our users, empowering enterprises with AI that understands their unique business. We are a team driven by truth, ownership, tenacity, and humility, and we seek individuals who resonate with these core values and are passionate about shaping the next generation of AI.About the Role:We are looking for a Senior C++ Systems Engineer with deep expertise in high-performance computing and machine learning inference. In this role, you’ll design and optimize inference engines for on-device applications on Apple platforms (macOS & iOS), leveraging Metal and MLX to push performance to its limits.This is an ideal opportunity for someone who thrives at the intersection of low-level systems programming, applied machine learning, and hardware-aware optimization.Key ResponsibilitiesImplement and optimize advanced ML architectures (Transformers, Mixture of Experts, Diffusion models) in C++, with a focus on performance and memory efficiency.Develop and fine-tune custom Metal kernels for performance-critical inference operations.Apply advanced model quantization techniques (low-bit, mixed-precision) to accelerate performance while minimizing footprint.Profile, benchmark, and tune inference on Apple Silicon (M-series, A-series), identifying and eliminating bottlenecks.Collaborate on API design and build Python bindings for C++ libraries.Contribute to robust testing frameworks to ensure reliability and performance.Requirements & SkillsBachelor’s degree in CS, EE, or a related field, or equivalent experience.4+ years of professional experience in C++ systems programming.Strong understanding of computer architecture, data structures, and algorithms.Demonstrated experience with performance profiling and low-level optimization.Familiarity with deep learning concepts and architectures (Transformers, Diffusion models, Mixture of Experts).Preferred (but not required)Deep expertise with Apple’s MLX framework.Demonstrable experience writing and optimizing custom Metal kernels.Experience with model quantization techniques and their performance implications.Familiarity with the iOS/macOS development ecosystem and build systems (CMake).Experience creating Python bindings for C++ libraries.We at webAI are committed to living out the core values we have put in place as the foundation on which we operate as a team. We seek individuals who exemplify the following:Truth - Emphasizing transparency and honesty in every interaction and decision.Ownership - Taking full responsibility for one’s actions and decisions, demonstrating commitment to the success of our clients. Tenacity - Persisting in the face of challenges and setbacks, continually striving for excellence and improvement.Humility - Maintaining a respectful and learning-oriented mindset, acknowledging the strengths and contributions of others. Benefits:Competitive salary and performance-based incentives.Comprehensive health, dental, and vision benefits package.401k Match (US-based only)$200/mos Health and Wellness Stipend$400/year Continuing Education Credit$500/year Function Health subscription (US-based only)Free parking, for in-office employeesUnlimited Approved PTOParental Leave for Eligible EmployeesSupplemental Life Insurance webAI is an Equal Opportunity Employer and does not discriminate against any employee or applicant on the basis of age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. We adhere to these principles in all aspects of employment, including recruitment, hiring, training, compensation, promotion, benefits, social and recreational programs, and discipline. In addition, it is the policy of webAI to provide reasonable accommodation to qualified employees who have protected disabilities to the extent required by applicable laws, regulations and ordinances where a particular employee works.

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About the TeamThe Support Automation team at OpenAI scales the organization by applying cutting-edge AI models to real-world challenges, automating and enhancing work across the organization. From customer operations to engineering, we develop an ecosystem of automation products that empower our colleagues and drive impact. We're passionate about crafting products that serve those around us, blending rapid prototyping with a focus on long-term quality and reliability. By creating reusable solutions, we create patterns that can be applied across diverse domains within OpenAI.TLDR: this team leverages OpenAI technology to improve OpenAI, and you’ll have the opportunity to leverage the full extent of our tech (both public and pre-released) to accomplish this mission. About the RoleWe’re looking for a Backend Software Engineer with experience working in ML/LLM-heavy domains to help to design and build an evals infrastructure that measures the quality of OpenAI’s support automation. This is a deeply technical and highly cross-functional role where you’ll build robust systems and backend services that serve as the foundation for how knowledge is created, accessed, and applied across OpenAI. The role will especially focus on working closely with Data Science and Research partners to design and build evals at scale. In this role, you will:Design eval pipelines that are reliable, reproducible, and extendableBuild the infrastructure for continuous eval monitoring frameworks (regression/drift monitoring, building robust golden datasets) along with feedback loops that ultimately strengthen support automationDesign, build, and maintain backend services and APIs to support intelligent automation and knowledge systemsIntegrate and structure data across internal platforms, transforming it into formats optimized for use by downstream systems and AI workflows.Collaborate closely with data, research, and engineering teams to integrate OpenAI models into high-leverage workflowsOwn the full development lifecycle of new backend systems and internal platform capabilitiesBuild with scale and maintainability in mind, while rapidly iterating on new ideas You might be a great fit if you have:4+ years of backend engineering experience at product-driven companies (excluding internships)Proficiency in backend technologies. Our tech stack includes Python, FastAPI, and PostgresExperience designing and scaling distributed systems, APIs, or data processing pipelinesHave experience building AI agents or applications, including designing evals and improving performance through prompting or scaffoldingAre familiar with evaluation methods for LLMs and have worked with patterns like multi-agent workflows, tool use, or long context.Experience creating production evals and/or measuring performance of ML/LLM models at scaleA pragmatic mindset. You’re comfortable shipping iteratively while building toward a long-term visionAbout OpenAIOpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.OpenAI Global Applicant Privacy PolicyAt OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

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About Us Ada is an AI customer service company whose mission is to make customer service extraordinary for everyone. We're driven to raise a new standard of quality customer service at scale, enabling enterprise companies to deliver experiences that people love–instant, proactive, personalized, and effortless. Ada is an AI transformation platform and partner—combining strategic expertise with powerful AI agent management technology to accelerate businesses’ AI maturity to keep them ahead of the curve. With Ada, 83% of customer conversations—and counting—are effortlessly resolved through automation, giving teams more time back, companies more resources to focus on growth, and customers more life to focus on what matters most to them. Established in 2016, Ada is a Canadian company that has powered over 5.5 billion interactions for leading brands like Square, YETI, Canva, and Monday.com, saving millions of hours of human effort. Backed with over $250M in funding from tier-one investors including Accel, Bessemer, FirstMark, Spark, and Version One Ventures, Ada is a pioneer in the management and application of AI in customer service. At Ada, we see growth as a reflection of each individual owner’s personal growth. That’s why our values are rooted in driving progress and continuous improvement. If you’re ambitious and eager to grow, Ada could be the place for you. Learn more at www.ada.cx.Our Role We’re looking for a Solutions Consultant II to provide technical and subject matter expertise to some of the world’s most innovative, fast-growing companies. You will collaborate with our Sales team to close new business by developing a deep understanding of our clients’ business needs, whilst ensuring our existing customers maximize value by crafting AI-first strategies to be adopted by their entire organization. In other words, you will be responsible for guiding and supporting customers throughout their entire lifecycle with Ada, from their initial engagement as a prospect, through to implementation and their long-term success with our company and product.  About You 3+ years of strategy/management/technology consulting and/or pre-sales engineering experience. Fluent in both English and French. Spanish language skills are considered an asset. Working knowledge of APIs and a common understanding of SaaS platforms (e.g. Shopify, Salesforce, Zendesk, Hubspot, etc.) Excellent communication and presentation skills, with the ability to effectively explain technical concepts to non-technical audiences. Strong relationship building skills as you will be required to maintain and develop technical champions across the table. Experience building relationships with VP level stakeholders will be considered an asset. Technically and analytically curious, where you demonstrate the ability to be a perpetual learner and love to make new discoveries and improve the status quo. Reliable and resilient team player with a start-up mentality able to deliver on your commitments whilst managing multiple competing priorities in a fast-paced constantly-changing environment. Generative AI implementation experience will be considered a strong asset. Outcomes Lead discovery sessions with customers and prospects to uncover requirements and challenges and identify opportunities in their businesses. Utilize your knowledge of APIs and SaaS platforms to address technical questions and provide solutions. Deliver concise, compelling, value-based presentations (product demos, technical assessments, roadmaps etc.) to all levels of an organization, including C-suite (e.g. CTO, CMO). Build custom product demonstrations and sandboxes that capture the long-term value of Ada’s Automation-First strategy. Scope and design integrations into customers' existing technology stack. Support pre-sales meeting quarterly revenue goals through closing new business.  Support customers through their implementation and going live with our product. Support post-sales retaining and expanding existing client accounts by delivering quarterly business reviews and identifying upsell opportunities. Drive adoption and utilization of the platform with a focus on increasing automated resolutions for existing customers. Collaborate with Product Management, Engineering, and Marketing to continuously provide feedback and improve Ada’s products and marketing. Please note this is a remote UK-based position Benefits & Perks At Ada, you’ll not only build extraordinary products but also thrive in an environment designed for your success. We prioritize your well-being, growth, and work-life balance. Here’s what we offer: Benefits Unlimited Vacation: Recharge when you need to. Comprehensive Benefits: Extended health coverage, dental, vision, travel, and life insurance. Wellness Account: Empowering you to invest in your overall well-being and lifestyle. Employee & Family Assistance Plan: Resources to support you and your loved ones. Perks Flexible Work Schedule: Balance your work and personal life. Remote-First, In-Person Friendly: Options to work from home or at our local hub. Learning & Development Budget: Invest in your long-term growth goals and skills. Work from Home Budget: Equipping you with the tools and support for a seamless remote work experience. Access to Cutting-Edge AI Tools: Work with the best AI tech stack in the industry. Hands-On with LLMs: Enhance your expertise in leveraging large language models. A Thriving Industry: Join the forefront of innovation in AI, shaping the future of technology. The above Benefits and Perks only apply to full-time, permanent employees. Thank you for your interest in joining us at Ada. Due to the high volume of applications, we will only contact candidates whose qualifications match closely to the requirements of the position. We appreciate the time you have invested in learning more about us.

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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.

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Why Mintlify?We're on a mission to empower builders. Massive reach: Our docs platform serves 100 million+ developers every year and powers documentation for 10,000+ companies, including Anthropic, Cursor, PayPal, Coinbase, X, and over 20% of the last YC batch.Small team, huge impact: We’re only 28 people today, backed by $22 million in funding, each new hire shapes the company’s trajectory.Culture of slope over y-intercept: We value learning velocity, grit, and unapologetically unique personalities.We grew in value faster than headcount and we’re looking to align the two quickly.About the RoleThis is a strategic, pre-sales role designed to accelerate our enterprise growth by guiding prospects through technical discovery, evaluation, and proof-of-concepts. You’ll work hand-in-hand with sales to demonstrate Mintlify’s value, remove technical blockers, and help close our largest customers.This role works cross-functionally with sales, product, and our CEO to ensure prospects see a clear technical and business case for adopting Mintlify. ResponsibilitiesLead technical discovery sessions with prospects to deeply understand their documentation workflows and pain pointsDesign and deliver demos and proof-of-concepts that highlight Mintlify’s value and differentiationPartner with sales to shape deal strategy, address technical objections, and accelerate the sales cycleServe as the technical voice during evaluations, ensuring stakeholders (both technical and non-technical) are alignedGather and communicate prospect feedback to inform product roadmap and go-to-market prioritiesTrack and optimize pre-sales processes to shorten evaluation cycles and increase conversion ratesRequirementsExperience in pre-sales or customer-facing technical roles with a record of winning enterprise dealsStrong proficiency in web technologies (HTML, CSS, JavaScript) to prototype and tailor demosComfortable with prompt engineering to script, analyze, and showcase customer-specific use casesAbility to translate technical depth into business impact for diverse stakeholdersExcellent presentation, communication, and project management skills — able to run multiple complex evaluations simultaneouslyStrong eye for design and storytelling to make technical demos compelling and memorableBonus: Experience with RFPs, enterprise procurement cycles, or complex sales motionsCompany Benefits:Competitive compensation and equity | Free Waymos20 days paid time off every year | Health, dental, vision401k or RRSP | Free lunch and dinners$420/mo. wellness stipend | Annual team offsite

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About Faculty At Faculty, we transform organisational performance through safe, impactful and human-centric AI. With more than a decade of experience, we provide over 350 global customers with software, bespoke AI consultancy, and Fellows from our award winning Fellowship programme. Our expert team brings together leaders from across government, academia and global tech giants to solve the biggest challenges in applied AI. Should you join us, you’ll have the chance to work with, and learn from, some of the brilliant minds who are bringing Frontier AI to the frontlines of the world.About the RoleAs a Machine Learning Engineer in our Professional and Financial Services business unit, you will work on project teams delivering bespoke machine learning solutions to our clients. You will be responsible for implementing data-driven approaches, contributing to the design of scalable software architectures, and ensuring best practices are followed throughout development.You will collaborate closely with our commercial team to help shape and deliver high-quality projects. In the early stages of client engagements, you will contribute to defining the technical scope, ensuring that proposed solutions are both feasible and aligned with business objectives. Your work will play a critical role in ensuring we deliver impactful software within agreed timeframes.This role offers the opportunity to apply cutting-edge machine learning techniques to complex challenges in professional and financial services, while working alongside colleagues from diverse technical and commercial backgrounds. What You'll Be DoingYou are engineering-focused, with a keen interest and working knowledge of operationalised machine learning. You have a desire to take cutting-edge ML applications into the real world. You will develop new methodologies and champion best practices for managing AI systems deployed at scale, with regard to technical, ethical and practical requirements. You will support both technical, and non-technical stakeholders, to deploy ML to solve real-world problems. Our Machine Learning Engineers are responsible for the engineering aspects of our customer delivery projects. As a Machine Learning Engineer, you’ll be essential to helping us achieve that goal by:Building software and infrastructure that leverages Machine Learning;Creating reusable, scalable tools to enable better delivery of ML systemsWorking with our customers to help understand their needsWorking with data scientists and engineers to develop best practices and new technologies; andImplementing and developing Faculty’s view on what it means to operationalise ML software.As a rapidly growing organisation, roles are dynamic and subject to change. Your role will evolve alongside business needs, but you can expect your key responsibilities to include:Working in cross-functional teams of engineers, data scientists, designers and managers to deliver technically sophisticated, high-impact systems.Working with senior engineers to scope projects and design systemsProviding technical expertise to our customersTechnical DeliveryWho We're Looking ForYou can view our company principles here. We look for individuals who share these principles and our excitement to help our customers reap the rewards of AI responsibly.To succeed in this role, you’ll need the following - these are illustrative requirements and we don’t expect all applicants to have experience in everything (70% is a rough guide):Understanding of, and experience with the full machine learning lifecycleWorking with Data Scientists to deploy trained machine learning models into production environments Working with a range of models developed using common frameworks such as Scikit-learn, TensorFlow, or PyTorchExperience with software engineering best practices and developing applications in Python.Technical experience of cloud architecture, security, deployment, and open-source tools ideally with one of the 3 major cloud providers (AWS, GCP or Azure)Demonstrable experience with containers and specifically Docker and KubernetesAn understanding of the core concepts of probability and statistics and familiarity with common supervised and unsupervised learning techniquesDemonstrable experience of managing/mentoring more junior members of the team Outstanding verbal and written communication.Excitement about working in a dynamic role with the autonomy and freedom you need to take ownership of problems and see them through to executionWe like people who combine expertise and ambition with optimism -- who are interested in changing the world for the better -- and have the drive and intelligence to make it happen. If you’re the right candidate for us, you probably:Think scientifically, even if you’re not a scientist - you test assumptions, seek evidence and are always looking for opportunities to improve the way we do things.Love finding new ways to solve old problems - when it comes to your work and professional development, you don’t believe in ‘good enough’. You always seek new ways to solve old challenges.Are pragmatic and outcome-focused - you know how to balance the big picture with the little details and know a great idea is useless if it can’t be executed in the real world.What we can offer you: The Faculty team is diverse and distinctive, and we all come from different personal, professional and organisational backgrounds. We all have one thing in common: we are driven by a deep intellectual curiosity that powers us forward each day. Faculty is the professional challenge of a lifetime. You’ll be surrounded by an impressive group of brilliant minds working to achieve our collective goals. Our consultants, product developers, business development specialists, operations professionals and more all bring something unique to Faculty, and you’ll learn something new from everyone you meet.

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Who We Are PathAI is on a mission to improve patient outcomes with AI-powered pathology. We are transforming traditional pathology methods with  powerful new technologies. These innovations in pathology can help accelerate drug development, improve confidence in the accuracy of diagnosis, and get life-saving therapies to patients more quickly. At PathAI, you'll work with a diverse and talented team of people, who are dedicated to solving complex problems and making a huge impact. Where You Fit We're looking for a skilled and experienced translational scientist program manager to join our team and help support the execution of PathAI’s business and academic partnerships, including strategic projects, external collaborations and internal initiatives. The Translational Science Lead will work closely with machine learning, biomedical data sciences, product development, and business operations teams to ensure that our scientific project goals are being met, and that we and that we are maximizing our platform’s capabilities. The Translational Science Lead will be responsible for the day-to-day operations of current project relationships and supporting the development of new activities, as well as lead internal scientific strategy within disease areas. What You’ll Do Responsible for the scientific and strategic development of company projects. Drive and uphold rigorous scientific standards, bringing consistency to the analyses you encounter and ensuring our discoveries are adequately reviewed. Apply cutting edge approaches towards understanding disease biology to improve precision medicine and biomarker development. Solve interesting problems with machine learning and data science. Oversee day-to-day technical developments and manage relationships with internal and external stakeholders Collaborate across a range of groups - product, design, engineering front-end, machine learning, business operations, and infrastructure teams. Recommend new features for internal and external users, and improve existing ones to enhance the user experience. Drive the prioritization of our platform development, considering the team and our future roadmap. Mentor, learn, and share knowledge with others along the way. What You Bring 5+ years of experience in biotech, pharmaceutical or medical device industries. Advanced degree in life sciences or biomedical engineering-related disciplines required, PhD preferred. Ability to process quantitative datasets and broad comfort with statistics. Intellectual curiosity and the ability to learn quickly in a complex space. Strong organizational skills and experience managing project timelines We Want To Hear From You At PathAI, we are looking for individuals who are team players, are willing to do the work no matter how big or small it may be, and who are passionate about everything they do. If this sounds like you, even if you may not match the job description to a tee, we encourage you to apply. You could be exactly what we're looking for.  PathAI is an equal opportunity employer, dedicated to creating a workplace that is free of harassment and discrimination. We base our employment decisions on business needs, job requirements, and qualifications — that's all. We do not discriminate based on race, gender, religion, health, personal beliefs, age, family or parental status, or any other status. We don't tolerate any kind of discrimination or bias, and we are looking for teammates who feel the same way.    #LI-Remote   

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🎨 OpusClip is the world's No.1 AI video agent, built for authenticity on social media.We envision a world where everyone can authentically share their story through video, with no expertise needed. Within just 18 months of our launch, over 10 million creators and businesses have used OpusClip to enhance their social presence. We have raised $50 million in total funding and are fortunate to have some of the most supportive investors, including SoftBank Vision Fund, DCM Ventures, Millennium New Horizons, Fellows Fund, AI Grant, Jason Lemkin (SaaStr), Samsung Next, GTMfund, Alumni Ventures, and many more. Check out our latest coverage by Business Insider featuring our product and funding milestones, and our recognition as one of The Information's 50 Most Promising Startups in 2024. Headquartered in Palo Alto, we are a team of 100 passionate and experienced AI enthusiasts and video experts, driven by our core values: Be a Champion Team Prioritize Ruthlessly Ship fast, Quality Follows Obsess over customers Be a part of this exciting journey with us!📝 What You'll Be Doing!You’ll join a fresh team in the Greater Vancouver Area focusing on building an AI video agent for professional creators who want to dominate their category. You will be working closely with the product, marketing/sales teams daily to rush prototype, beta and production version of this disruptive product using AI Agent technology.You will co-innovate with some of the world’s top social media creators and enterprise teams to validate AI agents that boost 100x outcome compared to the pre-AI era. Our tech stack: GCP, Typescript, Python, Redis/MongoDB/Cloud Storage, lots of AI models.📝 Background and Qualifications:Keywords: ambitious, scrappy, enterprise, growth mindsetBachelor's degree or higher in Computer Science or a related field. A total of 5-8 years of experience in software engineering.A strong entrepreneurial or hacker spirit or experience in a rapidly growing startup. Believes that speed is key and quality to follow later. You dare to set ambitious goals and deadlines. And you work hard and smart for it. You enjoy the challenge and treat it like a sport.You resonate with the combat spirit to win if you've watched the F1 Movie.Fast learner and self-starter as a full-stack engineer. A broad range of tech skills are preferred. Must have both front-end (such as React) and server-side skills (NodeJS, Django etc).Good understanding of software engineering principles and best practices. Good judgement on when to hack and when to craft.Excellent communicator with experience working across global teams. Open to having 1–2 evening meetings per week with Asia-based senior engineers. 📝 Preferred Experience shipping AI Agents or video products for Enterprises. Care about the creator economy and empowering human storytellers with AI Agents. 📝 You should NOT join if:You prefer working in a well defined scope where your work is assigned to you instead of you defining your work.You prefer focusing on coding and not worrying about product, design and customers.You don't want to de-value your precious coding skills and think vibe coding will never work.You are happy with the pre-AI engineering principles you learned and don't think they will change in the AI era.You think scrappiness is all you need and production is the same as prototyping.📝 Location (On-site):Burnaby, Vancouver, CAEEOOpusClip is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristics. OpusClip considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Opus Clip is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures.

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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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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:Hayden Portal is the full-stack web application at the heart of all Hayden products. Transit agencies rely on Portal to track and manage their fleets and review critical video data. Our Sales team uses it to run customer pilots—an essential driver of our growth. Operations depends on it to deliver exceptional customer support. Enforcement agencies, such as Sheriff's Departments and Departments of Transportation, use Portal to evaluate potential violations and ensure compliance with the law before citations are issued.We’re seeking a hands-on Engineering Manager to lead the development of Portal—across backend systems, frontend experiences, and everything in between. You’ll guide a talented team of software engineers building this mission-critical platform that powers Hayden’s core business.Responsibilities: People: You’ll cultivate a high-performing, motivated team. You’ll inspire top performers to go further and coach others to grow. You’ll turn company goals into clear, actionable deliverables for your team—and provide the support needed to hit them. Accountability, clarity, and mentorship will be your tools.Execution: You’ll design and run a day-to-day development process that enables the team to consistently ship high-quality products on a reliable schedule. Expect to take a pragmatic approach—blending elements of Scrum, Kanban, and even Waterfall as needed. Your focus will be on unblocking work, mitigating risks, and maximizing team productivity.Product: As a growing company, we expect you to have a strong voice in shaping the product. You’ll act as the bridge between the team and our customers—representing user needs to the engineers and engineering constraints to stakeholders. You’ll collaborate closely with Product Management and Customer Success to make this happen.Technical: Hayden is a technical company, and we expect our leaders to be in the code. You’ll participate in design discussions, review pull requests, and stay close to the work. You don’t need to be the fastest coder on the team—but you should lead from the front and set the technical tone.Remote Team: You’ll manage a fully remote engineering members in Poland mixed with San Francisco-based members to your team. That will mean some flexible hours, cross-time-zone collaboration and travel to Poland.Required Qualifications:Bachelor’s degree in Computer Science, Engineering, or a related field7-10 years of software engineering experience, including at least 2 years in direct management rolesExperience leading remote and distributed teamsDeep understanding of modern web development, including React, databases, and event-driven architectureProven ability to manage complex, cross-functional projectsStrong product sensibility and the ability to align teams around UI/UX and product strategyExceptional people skills: empathy, conflict resolution, mentorship, and team-buildingWillingness and ability to travel.Hybrid onsite - 3 days a week in our SF office (Tues.. Wed. and Thurs.).Preferred Qualifications:Proficiency in Golang and/or Python.Proficiency in React.Experience with AWS/cloud infrastructure: Terraform, EKS/Kubernetes, S3, EC2, Cognito, RDS, etc.

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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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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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Perplexity is an AI-powered answer engine founded in December 2022 and growing rapidly as one of the world’s leading AI platforms. Perplexity has raised over $1B in venture investment from some of the world’s most visionary and successful leaders, including Elad Gil, Daniel Gross, Jeff Bezos, Accel, IVP, NEA, NVIDIA, Samsung, and many more. Our objective is to build accurate, trustworthy AI that powers decision-making for people and assistive AI wherever decisions are being made. Throughout human history, change and innovation have always been driven by curious people. Today, curious people use Perplexity to answer more than 780 million queries every month–a number that’s growing rapidly for one simple reason: everyone can be curious. Perplexity is looking for an Applied ML Engineer to design, build, and iterate on cutting-edge AI models powering our core experience. As an expert in machine learning and artificial intelligence, you will develop scalable and impactful solutions for user personalization, query understanding, and content discovery - fulfilling the curiosity of millions of users across the globe. Key Responsibilities Apply state-of-the-art ML and LLM techniques to solve problems spanning: Personalization (LLM memory, context summarization, retrieval and ranking); Query Understanding (intent modeling, rewriting, agentic decomposition); Content Discovery (feed ranking and surfacing) Rigorously evaluate LLM/ML models with both offline and online techniques, designing experiments and metrics that provide deep insight into quality and impact. Own the entire model lifecycle from research to production: data analysis, modeling, evaluation, offline/online A/B testing, and iterative improvement. Collaborate cross-functionally with engineers, PMs, data scientists, and designers to ensure our AI drives meaningful product improvements. Stay at the forefront of ML/AI innovation by evaluating and incorporating emerging research and algorithms into the product lifecycle. Preferred Qualifications 5+ years experience building and shipping robust ML/AI models for large-scale, user-facing or data-driven products. Deep expertise in deep learning (PyTorch, TensorFlow, JAX), LLMs, information retrieval, content summarization, recommendation systems, NLP, and/or ranking. Strong software engineering skills (Python, production-quality codebases, collaborative development). In-depth experience with the full ML lifecycle: data analysis, feature engineering, iterative model development, rigorous evaluation, and ongoing monitoring/improvement. Proven collaborator and communicator; excels in high-velocity, cross-functional teams. Curious, driven by end-user/product impact, and passionate about advancing the state of applied ML and AI. BS, MS, or PhD in Computer Science, Engineering, or related field (or equivalent experience). Bonus Points For Experience with LLM prompt engineering, Retrieval-augmented generation (RAG) based systems. Experience in large scale user-centric and content-centric personalization challenges (user modeling, retrieval, content ranking, etc). Open-source or published contributions in ML, NLP, IR, or relevant research fields.  

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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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Why you should join usTandem is a generational opportunity to rethink how we bring new therapies to market, and our path to doing so is significantly de-risked – we have:Exponential organic growth: We have product-market fit and are growing rapidly through word-of-mouth. Tandem supports thousands of patients every day, is doubling doctor users every quarter, and is working with the largest biopharma companies in the world.An AI-first business model: Our approach is distinctly enabled by AI, but our business will get stronger (not commoditized) as foundation models improve. We are building durability through two-sided network effects that will compound over time.Top tier investors: With the traction to support conviction in our model, we raised significant funding from investors (including Thrive Capital, General Catalyst, Bain Capital Ventures, and Pear VC) to build an exceptional team of engineers and operators.Our number one priority is scaling to market demand. We are looking for individuals who are high horsepower, high throughput, and hyper resourceful to help us increase capacity and grow. We move fast and need to move faster.All full-time roles are in person in New York. You can learn more about working with us in the last section of this page.About the roleAs a Clinical Intelligence Specialist at Tandem, you will help define the clinical standards that guide how we scale our platform. You’ll translate your experience into structured frameworks that inform everything from how medical records are interpreted to how treatment decisions are supported — improving the accuracy, speed, and consistency of patient access workflows across the board.This is a high-context, cross-functional role that blends clinical expertise with systems thinking. You will work closely with our product, engineering, and AI teams to define decision logic, surface edge cases, and help us build reliable, clinically sound tools. Your work will shape the foundation of how Tandem supports providers and patients at scale — and help ensure our platform reflects the best of both medicine and technology.This is a demanding role, with a high level of autonomy and responsibility. You will be expected to "act like an owner" and commit yourself to Tandem's success. If you are low-ego, hungry to learn, and excited about intense, impactful work that drives both company growth and accelerated career progression, we want to hear from you.This is a remote contract position and we have flexibility to support part-time commitments.If you join, you will:Translate clinical expertise into scalable logic, workflows, and quality standards used across Tandem’s platformCurate and audit datasets to maintain high-quality, representative training and testing materialEvaluate and refine system performance to ensure clinical accuracy and reliability, using your expertise to analyze feedback and resolve issues with AI and agent outputsCollaborate cross-functionally to ensure platform behavior reflects real-world clinical reasoning and standardsExpand knowledge across medical specialties to inform the development of AI solutions tailored to diverse clinical needsInform the development of new products, services, and specialty-specific modulesWe’ll be most excited if you have:2–8 years as a board certified Nurse Practitioner (NP), Physician Assistant (PA), or similar advanced clinical role, directly providing patient care and clinical decision-makingExperience as part of an interdisciplinary team in outpatient or specialty settings, particularly in contexts involving medication prior authorizations and ensuring patient access to therapyStrong written communication, with an ability to translate clinical complexity into context and logic that can be understood by non-clinical teamsComfort and/or a strong interest in collaborating with product, engineering, and data science teammates on building new technologiesHigh NPS with your former teammatesThis is a list of ideal qualifications for this position. If you don't meet every single one of them, you should still consider applying! We’re excited to work with people from underrepresented backgrounds, and we encourage people from all backgrounds to apply.Working with usTandem is based in New York, with our full team working out of a beautiful and spacious office in SoHo. We run as a high-trust environment with high autonomy, which requires that everyone is fully competent and operates in line with our principles:Commit to audacity. "Whether you think you can, or you think you can't – you're right.”Do the math. Be rigorous, assume nothing.Find the shortest path. Use hacks, favors, and backdoors. Only take a longer road on purpose.Spit it out. Be direct, invite critique, avoid equivocation – we want right answers.Be demanding and supportive. Expect excellence from everyone and offer help to achieve it.Do what it takes to be number 1. We work hard to make sure we win.We provide competitive compensation with meaningful equity (for full-time employees). Everyone who joins early will be a major contributor to our success, and we reflect this through ownership and pay.We also provide rich benefits to ensure you can focus on creating impact (for full-time employees):Fully covered medical, vision, and dental insurance.Memberships for One Medical, Talkspace, Teladoc, and Kindbody.Unlimited paid time off (PTO) and 16 weeks of parental leave.401K plan setup, FSA option, commuter benefits, and DashPass.Lunch at the office every day and Dinner at the office after 7 pm.Our salary ranges are based on paying competitively for our company’s size and industry, and are one part of the total compensation package that also includes equity, benefits, and other opportunities at Tandem (for full-time employees). Individual pay decisions are ultimately based on a number of factors, including qualifications for the role, experience level, skillset, geography, and balancing internal equity. Tandem is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.

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Factory is on the hunt for Enterprise Account Executives with deep knowledge of developer tools and AI to drive adoption across sophisticated enterprise organizations.What you will do and achieve:Lead enterprise sales cycles end-to-end. Build pipeline, manage evaluations, negotiate commercial terms, and close multi-stakeholder deals at Fortune 1000 companies and high-growth enterprises.Serve as the expert in conversations with CIOs, CTOs, engineering leaders, and procurement teams, demonstrating deep understanding of Factory’s platform and its enterprise value proposition.Work directly with the CEO, VP of Sales, and closely with the product and engineering teams to customize solutions that meet the specific needs of each client, ensuring a seamless integration of Factory's Droids into their existing workflows.Educate and guide clients through the technical and practical aspects of implementing AI-driven development tools, addressing any concerns and showcasing the potential ROI.Collaborate with marketing to refine sales strategies and materials based on market feedback, contributing to the overall growth and success of Factory.Establish Factory as a trusted partner for enterprise customers, ensuring expansion and renewal opportunities by aligning to their long-term innovation roadmaps.Qualifications:7+ years of sales experience, including 4+ years selling into enterprise accounts with complex decision-making processes.Proven track record of achieving and exceeding sales targets in a technology-driven sales environment, with the ability to manage complex sales cycles from start to finish.Exceptional technical aptitude, capable of quickly learning new technologies and articulating complex solutions in a straightforward manner.Strong interpersonal and communication skills, with the ability to engage effectively with technical decision-makers and C-level executives.Self-motivated and able to thrive in a dynamic, fast-paced startup environment. A genuine enthusiasm for AI and software development is a plus.Prior experience as a sales engineer or in a role requiring deep product demonstrations and technical discussions is highly desirable.The team goes into the office 5 days a week in San Francisco or New York City.

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Jasper is the leading AI marketing platform, enabling the world's most innovative companies to reimagine their end-to-end marketing workflows and drive higher ROI through increased brand consistency, efficiency, and personalization at scale. Jasper has been recognized as "one of the Top 15 Most Innovative AI Companies of 2024" by Fast Company and is trusted by nearly 20% of the Fortune 500 – including Prudential, Ulta Beauty, and Wayfair. Founded in 2021, Jasper is a remote-first organization with team members across the US, France, and Australia.About The Role We're looking for an experienced Engineering Manager to lead and inspire a high-performing team of software engineers. In this role, you'll be responsible for people management, technical execution, and cross-functional collaboration to deliver impactful features that improve how our users create and manage content with AI.You’ll be joining a fast-paced environment where experimentation is encouraged, ownership is expected, and shipping quality software matters. The ideal candidate is an empathetic leader who can balance execution with coaching, strategic thinking with attention to detail, and team alignment with individual growth.This fully remote role reports to the Chief Technology Officer and is open to candidates located anywhere in the continental US. What you will do at JasperLead a team of engineers working on core areas of Jasper’s platform (e.g., content generation, collaboration tools, data pipelines, or integrations).Foster a high-trust, inclusive, and feedback-driven engineering culture focused on learning, autonomy, and performance.Collaborate with product managers, designers, and other stakeholders to define, prioritize, and deliver on technical and business goals.Ensure reliable delivery by creating healthy team rituals, resolving blockers, and optimizing processes.Support engineers' growth through coaching, mentorship, regular feedback, and clear development plans.Participate in technical design reviews, architectural planning, and roadmap discussions.Contribute to hiring and onboarding as we continue scaling the engineering team.What you will bring to Jasper 7+ years of hands-on software engineering experience and deep understanding of our tech stack (Typescript(NodeJS), NestJS Framework, Python, and React3+ years of engineering management experience, ideally in a VC-backed, high-growth SaaS or product-led company.Proven track record of shipping high-quality features with cross-functional teams.Excellent communication skills, both verbal and written.Passion for building generative AI products or developer tools is a strong plus.Experience managing remote teams is preferred.Compensation Range At Jasper, we believe in pay transparency and are committed to providing our employees and candidates with access to information about our compensation practices. The expected base salary range offered for this role is $210,000 - $250,000. Compensation may vary based on relevant experience, skills, competencies, and certifications.Benefits & PerksComprehensive Health, Dental, and Vision coverage beginning on the first day for employees and their families401(k) program with up to 2% company matchingEquity grant participationFlexible PTO with a FlexExperience budget ($900 annually) to help you make the most of your time away from workFlexWellness program ($1,800 annually) to help support your personal health goalsGenerous budget for home office set up $1,500 annual learning and development stipend 16 weeks of paid parental leaveOur goal is to be a diverse workforce that is representative at all job levels as we know the more inclusive we are, the better our product will be. We are committed to celebrating and supporting our differences and that diversity is essential to innovation and makes us better able to serve our customers. We hire people of all levels and backgrounds who are excited to learn and develop their skills. We are an equal opportunity employer. Applicants will not be discriminated against because of race, color, creed, sex, sexual orientation, gender identity or expression, age, religion, national origin, citizenship status, disability, ancestry, marital status, veteran status, medical condition, or any protected category prohibited by local, state or federal laws.By submitting this application, you acknowledge that you have reviewed and agree to Jasper's CCPA Notice to Candidates, available at legal.jasper.ai/#ccpa.

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Who are we?Our mission is to scale intelligence to serve humanity. We’re training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI.We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. We like to work hard and move fast to do what’s best for our customers.Cohere is a team of researchers, engineers, designers, and more, who are passionate about their craft. Each person is one of the best in the world at what they do. We believe that a diverse range of perspectives is a requirement for building great products.Join us on our mission and shape the future!Why this role?Generative AI represents a turning point for businesses in every industry. Cohere is at the center of enterprise transformation and is laser focused on serving the Enterprise sector, and its developers and partners.The Marketing organization is pivotal to the growth and success of Cohere - positioning and communicating Cohere’s unique offerings to a unique field of developers, enterprise AI & tech leadership, C-Suite executives, ML researchers, consultants, bankers, partners driving technology & workflow change within enterprises (SIs, cloud providers, SaaS providers), policymakers, and public-sector influencers.The VP Marketing will proactively set direction for Cohere in the marketplace, leading our positioning with the broad range of audiences listed above, driving product marketing, partner activation & enablement, developer relations, brand, social, digital, LLM University, certification/training programs and more. This is a once-in-a-lifetime opportunity to establish and scale a generational company in a most transformational time and sector.As our VP Marketing you will:Lead our Marketing organization and collaborate closely with cross-functional teams (i.e. Product, Revenue / Sales, Machine Learning, Engineering) to ensure alignment on both 1) Enterprise & 2) Product-led growth <PLG> Go-to-Market efforts & strategy.Develop, direct, and evaluate effective marketing programs using market research, product marketing, competitive intelligence, marketing communications, and public/policy relations.Develop a measurement strategy, objectives, KPIs, forecasting, benchmarks, and dashboards to measure the effectiveness of marketing programs, ensuring continuous improvement and optimization.Drive the company's brand strategy, including brand positioning, messaging, and identity to build a strong presence in the market.Align global marketing strategy to develop and implement campaigns that drive growth with enterprise customer target segments and partners (i.e. cloud service providers, GSIs and management consulting firms).Collaborate with our growing list of enterprise partners and customers to raise awareness and drive market adoption.Expand our leading education capability (LLMU) that enables developers and partners to deploy Cohere’s technology within their organizations, positions Cohere as the premier LLM provider to work with, and enables exponential growth through partners.Build and cultivate relationships with industry influencers, media partners, and stakeholders.Stay informed about industry trends, competitive landscape, and emerging marketing technologies, proactively providing input into strategy, product and technical decisions.You may be a good fit for this career opportunity, if you have:Proven experience as a senior Marketing leader across multiple functions (developer relations, enterprise, brand, growth).15+ years of senior level experience developing and achieving successful marketing strategies for both 1) Product-led growth <PLG> and 2) Enterprise SaaS/B2B software or software-related company driving Enterprise Go-to-Market motions.A relevant degree in Marketing/Business/Engineering/CS.A deep understanding of the changing market dynamics in the AI industry is an advantage.Proven track record of successfully launching and directing marketing efforts supporting cutting edge products, and developing effective marketing strategies and business plans.Familiarity with partner ecosystems, and enabling partner channels to deploy at scale (GSIs, consultancies, SaaS leaders, hyperscalers)Demonstrated experience building, guiding and inspiring a team as a servant leaderInternational/global experience and familiarity is preferredIf some of the above doesn’t line up perfectly with your experience, we still encourage you to apply! If you want to work really hard on a glorious mission with teammates that want the same thing, Cohere is the place for you.We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form, and we will work together to meet your needs.Full-Time Employees at Cohere enjoy these Perks:🤝 An open and inclusive culture and work environment 🧑‍💻 Work closely with a team on the cutting edge of AI research 🍽 Weekly lunch stipend, in-office lunches & snacks🦷 Full health and dental benefits, including a separate budget to take care of your mental health 🐣 100% Parental Leave top-up for 6 months for employees based in Canada, the US, and the UK🎨 Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement🏙 Remote-flexible, offices in Toronto, New York, San Francisco, London and Paris, as well as a co-working stipend✈️ 6 weeks of vacationNote: This post is co-authored by both Cohere humans and Cohere technology.