Find AI Work That Works for You

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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 into 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 You’ll work closely with our development squads while helping to lead and coordinate the efforts of our SDET team. As a key point of contact between engineering and quality, you’ll bring visibility to testing activities, drive process improvements, and ensure that quality remains a priority throughout the development lifecycle. This role is ideal for someone who’s hands-on, collaborative, and ready to take ownership of how we build and verify great products. What You’ll Do  Take ownership of quality assurance processes across multiple development squads Collaborate closely with engineering leadership and product teams to align on quality goals Track development progress and manage the QA testing backlog Write and maintain manual test cases for new and existing features when needed Support test automation by providing test data, building fixtures, and running exploratory tests Oversee the verification process, including documentation updates and compliance activities Maintain end-to-end test traceability from requirements through test execution Monitor CI/CD pipelines, investigate failures, and communicate issues to the engineering team Represent the SDET team in squad meetings and share quality status, risks, and metrics Work from our office in Boston (2+ days/week in office if local) or remotely from the United States on Eastern or Central hours) What You Bring Strong organizational skills and attention to detail Clear and effective communication, both written and verbal Ability to quickly learn and adapt in a fast-paced environment 1-2 years programming experience (e.g., Python or TypeScript) Understanding of test automation concepts Familiarity with modern testing frameworks such as Playwright or Cypress Experience with CI/CD tools like GitLab, GitHub Actions, or CircleCI Experience with Jira for test and issue tracking Background in Agile or Scrum development environments A collaborative mindset and a proactive approach to solving problems Nice to have: Experience in regulated industries (e.g., medical devices, finance, aerospace) Familiarity with advanced test management tools (e.g., Xray, Zephyr) 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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About People.ai: People.ai is an AI-powered foundational data platform that helps customers unlock go-to-market success & growth by providing teams with solutions built specifically for their needs. Providing enhanced pipeline visibility, more actionable insights, and a single source of truth for all sales activities. People.ai’s unique dataset, consisting of trillions of sales activities, millions of deals, 160 million business contacts, and 69 approved patents related to AI-based business insights, sets the company apart. Companies such as Verizon, IBM Red Hat, and Palo Alto Networks rely on their enterprise-ready, patented AI technology. At People.ai, we believe that people enrich the world around them in countless ways. We believe that the more time they spend applying their creativity, resourcefulness, and critical thinking to activities that matter most in their professional life, the more effective a professional they become. Our team is a diverse, outspoken group of creatives and critical thinkers, hyper-focused on driving change and growth. We embrace different. We applaud non-traditional career paths. We're inspired by people who have made processes their own. About the Role: The Demo Engineer will play a crucial role in scaling the GTM team by building and maintaining demo environments, creating technical enablement content, and orchestrating POCs and POVs in presales. This role is responsible for helping drive revenue growth by enabling the sales team with compelling demonstrations, automated processes, and technical expertise. The ideal candidate will be a technical expert who can bridge the gap between product capabilities and sales success. Responsibilities Maintain and scale demo environments for the GTM team, ensuring 100% onboarding success for new sales representatives.Create enablement content, including videos, scripts, and training materials to support the sales team effectiveness.Support technical selling for PeopleGlass high velocity team through scalable demo environments and webinars.Build automation tools to increase demo efficiency and reduce manual preparation time.Implement and manage a comprehensive POC and POV program, targeting 2 POCs per month with 80% conversion rates.Develop success criteria and milestone tracking for customer POC implementations.Ramp quickly as a product expert and serve as the go-to technical resource for demo questions.Collaborate with Product and Engineering teams to roll out new product capabilities through the New Product Introduction process.Transition demo environments away from Production to simulated data environments for improved security and reliability.Build custom demos for advanced use-cases and industry verticals to support specific sales opportunities. Requirements:Several years of experience n relevant GTM tech industry with proven track record of scaling demo operations..Expert-level proficiency in Salesforce with coding ability in Apex and experience with data analytics.Strong technical skills including ability to write code and implement automation solutions.Proven experience in demo building and enablement with measurable results.Experience running POC programs with demonstrated success metrics.Ability to collaborate effectively with Sales, Marketing, Product, and Engineering teams.Strong presentation and training skills with ability to create compelling enablement content.Experience with big data, analytics, and technical integrations.Growth mindset with passion for learning new technologies and optimizing processes.Open to feedback, willing to challenge ideas constructively, and committed to the success of People.ai.Ability to work in a fast-paced, data-driven environment and solve complex technical challenges. Preferred Experience:Previous experience in CRM, Marketing Automation, Sales Enablement, or GTM Tech industries.Background working with enterprise software demonstrations and technical pre-sales.Experience with automation tools and process optimization in sales environments.Knowledge of industry verticals and ability to customize demos for specific market segments.

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The Company   Metropolis is an artificial intelligence company that uses computer vision technology to enable frictionless, checkout-free experiences in the real world. Today, we are reimagining parking to enable millions of consumers to just "drive in and drive out." We envision a future where people transact in the real world with a speed, ease and convenience that is unparalleled, even online. Tomorrow, we will power checkout-free experiences anywhere you go to make the everyday experiences of living, working and playing remarkable - giving us back our most valuable asset, time.   The Role Metropolis is seeking a Senior Camera Systems Engineer to drive current and future camera system requirements and designs and enable scaled manufacturing and deployment.  We are developing a broad suite of technologies that enable the operation of our CV/ML platform, including but not limited to camera and computer vision systems, edge and embedded computers, IoT sensors and automated access control systems. As a senior member of the Advanced Technologies (AT) organization, you will be responsible for working up and down the camera stack, providing requirements and designs at the optics and CMOS level, working with team members to implement the ISP and processing pipeline, and ensuring field applications are understood and addressed by our imaging solutions. You will collaborate cross-functionally with members of the Hardware, Embedded Software, Machine Learning and Technical Operations teams to shepherd camera systems from inception through to scaled production.  The right candidate will be comfortable working at all levels of camera system development - performing detailed analysis at the optics/sensor level, tuning ISP settings, driving alignment with hardware and software integrations, engaging with manufacturing teams, and even getting ahead of application and environmental considerations that impact deployment.  You must be able to thrive and succeed in an entrepreneurial environment, working collaboratively in a fast-paced environment with multiple stakeholders.  You won’t be afraid to break new technological ground at Metropolis and are more than willing to roll up your sleeves, dig in, and get the job done.  If you have a background in cameras, sensors, computer vision or autonomous systems, and are interested in developing systems that go out into the real world, please reach out!   Responsibilities Generate camera and camera system requirements that support business objectives, and develop camera system designs based on detailed systems and tradeoff analyses. Decompose camera system requirements for dissemination to contributing teams, including metric definition and measurement approaches. Work cross-functionally with hardware, machine learning, embedded software, technical operations and manufacturing teams to design, develop and deploy camera solutions to Metropolis facilities. Support camera system design and validation processes, including manufacturing and test / calibration. Perform optical and camera system simulations / tests as required to quantify and validate proposed solutions. Work with partners to enable manufacturing of designed camera systems, including establishing test and validation processes and criteria. Work with vendors of cameras and optical devices/components to evaluate their capabilities against our needs and specify our requirements to them. Create, utilize, and maintain a camera lab for evaluating new vision technologies and to use as part of a larger QA process for maintaining the integrity of our camera designs. Support troubleshooting of field-deployed systems   Qualifications  MS or PhD in Engineering, Physics, Computer Science, Imaging Science or equivalent 5+ years of industry experience working with imaging systems Deep understanding of camera technologies, optical systems, and imaging pipelines Practical experience with optics, image sensor and pixel fundamentals, and camera construction and assembly.  Hands on experience with imaging system test and validation systems, including measurement of traditional and product specific image quality metrics. Production experience with end-to-end imaging processing pipeline, including HDR and image quality modules. Proven track record of productizing 3A and ISP algorithms and settings tailored to camera use cases Familiarity with computer vision and machine learning fundamentals, including algorithm development, modeling and optimization. Experience performing data analysis and automation to yield actionable insights Delivered at least one camera system from concept to mass production. Experience with at least one relevant modern programming language (Python, etc.) Excellent written and verbal communication skills with a proven ability to present complex technical information in a clear and concise manner to a variety of audiences Previous experience working inside innovative, high-growth environments is a plus Role is hybrid on-site in Seattle, WA   When you join Metropolis, you’ll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. The anticipated base salary for this position is $150,000.00 to $200,000.00 annually. The actual base salary offered is determined by a number of variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment. Base salary is one component of Metropolis’s total compensation package, which may also include access to or eligibility for healthcare benefits, a 401(k) plan, short-term and long-term disability coverage, basic life insurance, a lucrative stock option plan, bonus plans and more.  #LI-AR1 #LI-Onsite Metropolis Technologies is an equal opportunity employer. We make all hiring decisions based on merit, qualifications, and business needs, without regard to race, color, religion, sex (including gender identity, sexual orientation, or pregnancy), national origin, disability, veteran status, or any other protected characteristic under federal, state, or local law.  

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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 RoleWe’re looking for a Lifecycle Marketing Manager who’s equal parts strategist and executor. This is a hands-on role focused on driving pipeline and revenue through intelligent email marketing and full-funnel lifecycle programs. The ideal candidate will bring a modern, AI-powered approach to both email and lifecycle marketing, with a strong understanding of CRO and a performance-driven mindset.This role is on the Demand Generation and ABM team. You will lead both the strategy and execution of email and lifecycle campaigns aimed at creating pipeline from high-intent enterprise and mid-market prospects, while expanding value from existing customers. You will collaborate cross-functionally to ensure that campaigns are aligned with GTM priorities and tied to measurable business outcomes.This fully remote role reports to the Head of Demand Generation & ABM, and is open to candidates located anywhere in the continental US. What you will do at JasperPipeline Generation and Email Marketing (New Business):Own outbound and nurture email programs for prospects and open opportunitiesBuild segmented, AI-personalized nurture tracks based on funnel stage, persona, and behavioral intentDevelop re-engagement campaigns that accelerate lead-to-MQL and opp-to-close conversionRun A/B tests across subject lines, send times, dynamic content, and calls-to-action using CRO principlesTrack performance and report on campaign influence on pipeline creation and sales velocityCustomer Lifecycle Marketing (Post-Sale):Design and optimize onboarding, retention, and expansion campaigns to deepen product adoption and customer valuePartner with Customer Success and Product Marketing to deliver targeted communications for upsell, cross-sell, renewals, and advocacyUse behavioral signals and AI to proactively engage customers at key lifecycle momentsImprove key customer metrics, including onboarding completion, product adoption, NRR, and churnAI-First Execution and Optimization:Use Jasper and other AI tools to accelerate content production and personalizationApply AI for campaign timing, dynamic segmentation, and predictive engagement modelingContinuously test and refine campaigns using AI-driven insights and performance dataWhat you will bring to Jasper 5+ years of B2B SaaS marketing experience, including at least 2 years in lifecycle marketingStrong experience running email programs for both new pipeline generation and post-sale lifecycle marketingAn understanding of AI tools and their impact on marketing workflows, along with a clear perspective on their use.Track record of increasing email engagement, accelerating funnel performance, and boosting retentionExperience across email and landing page testing, optimization, and analysisStrong analytical and communication skillsComfort working independently in a fast-moving, remote-first environmentCompensation 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 $140,000 - $160,000. 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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About RobinRobin is on a mission to rebuild the legal industry — starting with making contracts simple for everyone. We are a pioneer in Legal AI, built on proprietary models, licensed data, and deep partnerships with Anthropic and AWS. Since 2019, we’ve expanded our footprint to 4 continents and have been supporting many of the world’s most successful businesses, including GE, Pfizer, KPMG, and UBS.What will you do as a Applied Scientist?You will be leading, designing and experimenting with cutting edge research on how to best solve pressing issues surfacing in the legal domain. You will apply your expertise in machine learning, data science, and behavioural modelling to drive meaningful insights and innovations.As AI agents become the norm in this industry, so does the need for efficient legal information retrieval, semantic search capabilities, and structured knowledge representation. Your work will bridge the gap between advanced search technologies and the complex information needs of the legal domain, making legal knowledge more accessible, navigable, and actionable.Your day-to-day responsibilities:Develop and advance knowledge extraction and representation methods - we’re particularly interested in people keen on:structured knowledge extraction from legal texts and imagesknowledge graphs/ontology engineeringlegal knowledge base constructionspecialised embedding methods for multimodal content in the legal domainDevelop methods for retrieval and reasoning over legal knowledge bases and systems (e.g. hybrid search approaches combining symbolic and neural techniques, query understanding and rewriting for legal search)Performing fine-tuning and reinforcement learning to teach language models how to interact with new information architectures.Building “hard” eval sets to help identify failure modes of how language models work with legal data.Build infrastructure for running experiments and visualising results.Work with colleagues to communicate results internally and publicly.Stay updated with the latest research in machine learning, AI, knowledge representation and retrieval to bring innovative solutions to the table.Ideally, you should have the following qualifications:A Ph.D. in Computer Science, Data Science, Machine Learning, Statistics, or a related field (or equivalent practical experience).Strong expertise in machine learning algorithms, statistical methods, and optimisation techniques.Have a strong track record of scientific research (in any field), and have done work on information retrieval, knowledge representation and reasoning, structured knowledge extraction, or large-scale data analytics.You view research and engineering as two sides of the same coin. Every team member writes code, designs and runs experiments, and interprets results.Experience (or desire to be) working in multi-disciplinary teams.What’s in it for youSalary: Competitive Hybrid schedule: We offer a flexible working schedule. #LI-HYBRIDEquity package: Generous equity scheme - everyone gets to be an owner of Robin AI!Annual leave: 25 days PTO, in addition to the bank holidays observed in the UK.Health and wellbeing: Comprehensive health insurance, mental healthcare, gym discounts and cycle to work scheme.Growth opportunities: We prioritise promotions for high performers and help you to progress your career.What’s it like working at Robin?Our culture and values attract people who are creative, resourceful, and share our passion for excellence. At Robin, you're encouraged to push yourself and empowered to take risks. We support each other to think big, try new ideas, and navigate uncertainty. Whether you're at our headquarters or one of our worldwide offices, you'll find a world of opportunities to grow, thrive, and make a meaningful impact. See what life is like at Robin.Diversity, Equity and Inclusion at RobinWe are committed to building one of the most diverse technology companies in the world. As of 2024, more than 30% of our employees come from ethnic minority backgrounds, and 51% of roles are held by women. We know that transforming the legal industry requires diverse perspectives, so we're creating an environment where innovation thrives through inclusion.Robin operates a direct hiring model and any speculative CVs shared via agencies will be treated as a gift.

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This role is remote and can be executed globally. If you prefer, you can work from our offices in Bangalore, Dublin, London, New York, San Francisco, Tokyo, and Warsaw.About ElevenLabsElevenLabs is a research and product company defining the frontier of Audio AI. Millions of individuals use ElevenLabs to read articles, voice over their videos, and reclaim voices lost from disability. And the leading developers and enterprises use ElevenLabs to create Conversational AI agents for support, sales, and education.ElevenLabs launched in January 2023 with the first AI model to cross the threshold of human-like speech. In January 2025, we raised a $180 million Series C round, valuing ElevenLabs at $3.3 billion. The round was co-led by Andreessen Horowitz and ICONIQ Growth, with continued support from the leading names in tech, including Nat Friedman, Daniel Gross, Instagram co-founder Mike Krieger, Oculus VR co-founder Brendan Iribe, DeepMind and Inflection co-founder Mustafa Suleyman, and many others.ElevenLabs is only 2 years old and scaling rapidly. We are just getting started. If you want to work hard and have an incredible impact, we would love to hear from you.How we workHigh-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy.Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you.AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations.Excellence everywhere: Everything we do should match the quality of our AI models.Global team: We prioritize your talent, not your location. What we offerLearning & development: Annual discretionary stipend towards professional development. Social travel: Annual discretionary stipend to meet up with colleagues each year, however you choose.Annual company offsite: We bring the entire company together at a new location every year.Co-working: If you’re not located near one of our main hubs, we offer a monthly coworking stipend.About the roleWe’re hiring a Developer Relations Engineer. In this role, you’ll play a core part in improving our developer experience — particularly our documentation and example projects. You’ll dive deep into where users are getting stuck and ship what they need to succeed.You’ll also help drive acquisition of our technical, self-serve customers by creating and presenting engaging content online and in-person — especially at developer meetups and conferences across the US, with a focus on events in the San Francisco Bay Area.This role is perfect for someone who can create compelling technical content and is energized by connecting with developers face-to-face.RequirementsYou love attending, organizing, and speaking at developer events.You're able to tailor messaging for different audiences and build strong networks with developers, startup accelerators, and VCs alike.A strong full-stack engineering skillset with an eye for design — bonus points if you leverage new AI coding tools.The ability to come up with great ideas for tutorials, build working demos, and create high-quality blog posts and talks.A passion for writing engaging technical content.A product-minded approach to content: you understand metrics, speak to users, decide what to build/write based on needs, and double down on what works.#LI-Remote

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Join Our Mission to Revolutionize Healthcare Thoughtful is pioneering a new approach to automation for all healthcare providers! Our AI-powered Revenue Cycle Automation platform enables the healthcare industry to automate and improve its core business operations. We’re hiring a Senior Security Engineer to secure and scale our stack. You’ll own platform security, system reliability, audit readiness, and integration strategy across cloud and hybrid environments.  You'll take ownership of system reliability, security posture, audit readiness, and help guide our long-term integration strategy across cloud and legacy environments. We're unifying cloud-native and legacy systems into a secure, high-availability platform that powers AI-driven automation across healthcare. You’ll lead foundational work in infrastructure hardening, audit controls, and production observability, directly supporting mission-critical AI agents. You'll have executive support and budget to modernize everything from our VPN tunnels to our alerting stack. What You’ll Own: Integration Strategy: Lead infrastructure and tooling decisions as we unify multiple environments into a single, scalable platform. Audit Readiness: Own and drive SOC 2 Type II and HITRUST prep, working across engineering, compliance, and security. System Reliability: Ensure uptime, scalability, and fault tolerance across services. Set and enforce SLAs. On-Call Infrastructure: Stand up our alerting, escalation, and incident response systems. Observability: Improve logging, metrics, and dashboards using tools like HyperDX. Infrastructure Provisioning: Spin up and manage production-grade infrastructure using OpenTofu/Terraform. Security & Networking: Architect infrastructure with security best practices, including VPNs, IPsec tunnels, and hybrid network topologies. Your Qualifications: 8+ years of experience spanning Security, DevOps, and/or SRE roles in high-availability, cloud and hybrid environments—with a strong track record of leading integrations, hardening infrastructure, and ensuring audit/compliance readiness. Start-up mentality - desire to tackle ambiguous scope of work and willing to do whatever is necessary to drive the company/mission forward. Track record leading complex infrastructure integrations Deep AWS expertise; strong experience with Azure and/or GCP a bonus Proficiency in OpenTofu or Terraform for Infrastructure-as-Code Comfortable navigating hybrid cloud environments (e.g. EKS, legacy VMs, VPN tunnels) Solid Kubernetes experience (Knative experience a plus) Strong networking fundamentals and experience with on-prem systems Familiar with incident tooling (PagerDuty, Opsgenie) and setting SLOs/SLAs Personable and cross-functional: able to build rapport with stakeholders across engineering, compliance, and executive leadership Security-first mindset, with an eye for compliance and audit readiness Proficiency in SOC2 Type 2, HITRUST preparation. Comfortable spinning up new infrastructure as needed What Sets You Apart: You've integrated cutting edge cloud environments with customer's legacy environments You’ve built platforms, not just maintained them You treat DevOps as a product, not just a support function You care about developer experience, observability, and operational excellence   Why Thoughtful? Competitive compensation Equity participation: Employee Stock Options. Health benefits: Comprehensive medical, dental, and vision insurance. Time off: Generous leave policies and paid company holidays.  California Salary Range $170,000—$220,000 USD

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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 roleThis is an exciting opportunity to join Faculty as the most senior data scientist in its recently formed Professional and Financial Services Team. As the Lead Data Scientist, you’ll have an opportunity to shape a technical vision and guide the senior and junior data scientists on your team. Working collaboratively, you will oversee project teams that deliver high-impact AI solutions that are differentiated and compelling. You will also lead project teams delivering enterprise-scale applications for a range of clients, including major banks, asset managers, insurers, law firms, and B2B services.Maintaining ownership of the data science approach, you will own the technical vision for your projects, partner directly with clients to shape strategy, and play a crucial part in mentoring the next generation of data science talent at Faculty.What you'll be doingProject Leadership:Guide the technical delivery of custom data science solutions for clients, from initial discovery to deployment in productionOwn the end-to-end data science approach, designing and implementing the appropriate techniques - from classic to AI agents using LLMs - that are designed, optimised and applied at scaleDesign robust and scalable software architecture for the solutions you build, ensuring best practices in engineering and MLOps are followed.Partner with our commercial team and clients to build strong relationships, acting as a trusted technical advisor.Articulate intricate technical concepts and strategic decisions clearly and effectively to diverse audiences, from client-side engineers to C-suite executives.Team Mentorship:Formally manage and mentor a number of data scientists, taking responsibility for their career progression and professional growth.Provide targeted technical support and learning opportunities for data scientists on your project teams.Contribute to sustaining our culture, creating an atmosphere of collaboration and setting a high standard for performance and technical excellence.Technical LeadershipEstablish a distinct and differentiated data science vision for professional and financial services, and communicate that vision through external thought leadership and in potential client presentations.Partner with our commercial team to ensure potential projects and programmes of work are appropriately resourced, balancing client delivery, colleague wellbeing, and commercial imperatives.Keep abreast of the latest technical and technology advancements, share these with others in the organisation, and identify how they can help drive Faculty forward.Who we're looking forYou have deep technical expertise in machine learning and a command of diverse methodologies, with a solid grasp of data science and statistical techniques, for example: supervised/unsupervised machine learning, model cross-validation, Bayesian inference, and time-series analysisAn excellent proficiency of the basic libraries for data science (e.g. NumPy, Pandas, Scikit-Learn) and familiarity with a deep-learning framework (e.g. TensorFlow, PyTorch)Demonstrable experience enabling impactful change with AI within a financial services institution. Coupling that with prior experience in consulting would be a bonus.You possess proven experience leading data science projects and making key decisions on technical direction and architecture.You are an exceptional communicator, capable of building rapport with clients and translating complex ideas into clear, actionable insights.You have a strategic mindset, with a grasp on key financial services sector trends that informs a compelling technical vision.You are passionate about developing people and have experience mentoring or managing other technical professionals.You are motivated to contribute to the wider data science community. We will actively support you in building your professional profile by speaking at major conferences, delivering courses, or contributing to open-source projects.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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About KreaAt Krea, we are building next-generation AI creative tools.We are dedicated to making AI intuitive and controllable for creatives. Our mission is to build tools that empower human creativity, not replace it.We believe AI is a new medium that allows us to express ourselves through various formats—text, images, video, sound, and even 3D. We're building better, smarter, and more controllable tools to harness this medium.This jobRobust, reliable, and scalable distributed systems form the backbone of Krea. These systems support the infrastructure that powers our AI research, real-time user experiences, and large-scale model deployments.As a Distributed Systems Engineer, you will…… design, build, and maintain large-scale distributed infrastructure to reliably support AI research and real-time model serving.… own and scale our multi-thousand-node Kubernetes GPU clusters, ensuring efficient and fault-tolerant operations.… collaborate closely with ML engineers and researchers to architect systems that enable rapid experimentation and deployment.… improve network architecture, optimize load balancing, and streamline operational practices across multi-zone cloud deployments.Example projectsOwn and manage a large-scale Kubernetes cluster designed to run extensive ML training and inference workloads.Architect fault-tolerant systems ensuring uninterrupted model training and real-time inference despite individual node failures.Develop and implement optimized load-balancing strategies to efficiently distribute workloads across zones.Create comprehensive monitoring, alerting systems, and operational playbooks for high-availability clusters.Migrate existing deployments to Infrastructure as Code (Terraform) for reproducibility and scalability.Setting up IP-based rate-limiting to prevent GPU abuse.Strong candidates may have experience with…Kubernetes at scale (thousands of nodes)Cloud infrastructure management (AWS/GCP/Azure)High-performance and fault-tolerant networkingLow-level Linux interfaces and administrationDebugging complex distributed systems in productionPython, Golang, Ruby, Rust, and similar systems languagesBonus: Infrastructure as Code (e.g. Terraform)About usWe’re building AI creative tooling.We’ve raised over $83M from the best investors in Silicon Valley.We’re a team of 12 with millions of active users scaling aggressively.

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About KreaAt Krea, we are building next-generation AI creative tools.We are dedicated to making AI intuitive and controllable for creatives. Our mission is to build tools that empower human creativity, not replace it.We believe AI is a new medium that allows us to express ourselves through various formats—text, images, video, sound, and even 3D. We're building better, smarter, and more controllable tools to harness this medium. This jobWe're looking for a machine learning engineers who can work on large-scale image and video models training experiments..Some stuff you can do:Train foundation diffusion models for image and video generation.Train controllability modules such as IPAdapters or ControlNets.Develop novel research techniques and put them into production.Conducting large-scale experiments on high-performance computing clusters, optimizing data pipelines for massive image datasetsExample experience and skills we’re looking forProven track record in working with image or video models at scale (publications or open-source contributions a plus)Strong background in deep learning frameworks and distributed training paradigms.Ability to iterate rapidly, and propose creative research directionsA bit more about usWe’ve raised over $83M and are backed by world-class Silicon Valley investors such as Andreessen Horiwitz, and the cofounder of the Meta AI Research laboratory (FMK as Facebook AI Research) or founding members of OpenAI.

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About KreaAt Krea, we are building next-generation AI creative tools.We are dedicated to making AI intuitive and controllable for creatives. Our mission is to build tools that empower human creativity, not replace it.We believe AI is a new medium that allows us to express ourselves through various formats—text, images, video, sound, and even 3D. We're building better, smarter, and more controllable tools to harness this medium. Some examples of things you will do:Build and maintain APIs and UI flows for web + mobile in Svelte/SvelteKit, TypeScript.Design interactive, responsive front-end experiences—drag-and-drop, real-time canvas polish, smooth and responsive UI animations.Optimize frontend performance: minimize render latency, profile UI with virtual DOM techniques, deliver seamless WebSocket image streams.Design and maintain backend services (Node), DB models (Postgres + Redis caching/pooling).Kickstart a Public API project to serve Krea AI models to millions of developers.Diagnose HTTP/3 and WebSocket related issues both on the client side and the server side.Drive real-time image & video generation pipelines via low-latency APIs.Improve observability and alerting using OpenTelemetry tools.Implement enterprise features: Audit Logs, SAML/SSO, SCIM provisioning.Bonus: Scale our infra architecture through deep understanding of our AWS EKS GPU clusters or Kubernetes operators.Strong candidates may have experience with the following:Solid full-stack JS/TS engineer with frontend focus—component design, UI state, animations, client performance.Experience with SvelteKit or similar frameworks, real-time UI via WebSockets.Comfortable designing APIs, database schemas, caching strategies.Familiar with infra and scale: Kubernetes, Postgres, Redis, observability stacks.Side projects or open‑source contributions in UI/infra are plus.Bonus: prior work on enterprise auth features, GPU workloads, ML or image/video pipelines.Stack:Frontend: Svelte/SvelteKitBackend: Node + TypeScript, Postgres, RedisRealtime: WebSockets, HTTP/3Infra: AWS EKS GPU clusters, KubernetesObservability: Prometheus, OpenTelemetry, Axiom/HyperDXTools: GitHub, Slack, Notion

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About KreaAt Krea, we are building next-generation AI creative tools.We are dedicated to making AI intuitive and controllable for creatives. Our mission is to build tools that empower human creativity, not replace it.We believe AI is a new medium that allows us to express ourselves through various formats—text, images, video, sound, and even 3D. We're building better, smarter, and more controllable tools to harness this medium. What you'll doDesign, implement, deploy, and maintain private APIs for our main web and mobile applications.Design database models.Fix issues with our system that, among other things, may be related to how HTTP/3 handles client-side connections to our processes.Improve database and infrastructure performance by implementing caching solutions or better connection pooling.Profile and find bottlenecks for many types of HTTP/WebSockets requests to enable real-time image generation—and even video!Improve observability, monitoring, and alerting for our service so that we can better respond to operational incidentsScale our service via architectural changes as well as infrastructure improvementsOpen-source any non-trivial innovations that come out of our work on the productDesign and iterate over software development processes so that we can build an web-native and AI-native creative tools for people.Professionalize our main product by adding enterprise-grade features such as Audit Logs, SAML/SSO, SCIM.Our stackJavascript/TypeScriptSvelte & SvelteKitNode, Postgres, and RedisWebSocketsManaged Kubernetes cluster(s) on AWSMonitored and observed via Axiom/HyperDX/Prometheus/OpenTelemetryGitHub, Slack, Notion

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About KreaAt Krea, we are building next-generation AI creative tools.We are dedicated to making AI intuitive and controllable for creatives. Our mission is to build tools that empower human creativity, not replace it.We believe AI is a new medium that allows us to express ourselves through various formats—text, images, video, sound, and even 3D. We're building better, smarter, and more controllable tools to harness this medium. This jobData is one of the fundamental pieces of Krea. Huge amounts of data power our AI training pipelines, our analytics and observability, and many of the core systems that make Krea tick.As a data engineer, you will…… build distributed systems to process gigantic (petabytes) amounts of files of all kinds (images, video, and even 3D data). You should feel comfortable solving scaling problems as you go.… work closely with our research team to build ML pipelines and deploy models to make sense of raw data.… play with massive amounts of compute on huge kubernetes GPU clusters - our main GPU cluster takes up an entire datacenter from our provider.… learn machine learning engineering (ML experience is a bonus, but you can also learn it on the job) from world-class researchers on a small yet highly effective tight-knit team.Example projectsFind clean scenes in millions of videos, running distributed data pipelines that detect shot boundaries and saving timestamps of clips.Solve orchestration and scaling issues with a large-scale distributed GPU job processing system on kubernetess.Build systems to deploy and combine different LLMs to caption massive amounts of multimedia data in a variety of different ways.Design multi-stage pipelines to turn petabytes of raw data into clean downstream datasets, with metadata, annotations, and filters.Strong candidates may have experience with…Python, PyArrow, DuckDB, SQL, massive relational databases, PyTorch, Pandas, NumPy…KubernetesDesigning and implementing large-scale ETL systemsFundamental knowledge of containerization, operating systems, file-systems, and networking.Distributed systems designAbout usWe’re building AI creative tooling.We’ve raised over $83M from the best investors in Silicon Valley.We’re a team of 12 with millions of active users scaling aggressively.

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About AbridgeAbridge was founded in 2018 with the mission of powering deeper understanding in healthcare. Our AI-powered platform was purpose-built for medical conversations, improving clinical documentation efficiencies while enabling clinicians to focus on what matters most—their patients.Our enterprise-grade technology transforms patient-clinician conversations into structured clinical notes in real-time, with deep EMR integrations. Powered by Linked Evidence and our purpose-built, auditable AI, we are the only company that maps AI-generated summaries to ground truth, helping providers quickly trust and verify the output. As pioneers in generative AI for healthcare, we are setting the industry standards for the responsible deployment of AI across health systems.We are a growing team of practicing MDs, AI scientists, PhDs, creatives, technologists, and engineers working together to empower people and make care make more sense. We have offices located in the Mission District in San Francisco, the SoHo neighborhood of New York, and East Liberty in Pittsburgh. The RoleAs an AI Infrastructure Engineer at Abridge, you’ll play a pivotal role in building and optimizing the core infrastructure that powers our machine learning models. Your work will be instrumental in enhancing the scalability, efficiency, and performance of our AI-driven solutions. You will work with our Infrastructure and Research teams to build, deploy, optimize and orchestrate across our AI models.What You'll DoDesign, deploy and maintain scalable Kubernetes clusters for AI model inference and trainingDevelop, optimize, and maintain ML model serving and training infrastructure, ensuring high-performance and low-latency.Collaborate with ML and product teams to scale backend infrastructure for AI-driven products, focusing on model deployment, throughout optimization, and compute efficiency.Optimize compute-heavy workflows and enhance GPU utilization for ML workloads.Build a robust model API orchestration systemCollaborate with leadership to define and implement strategies for scaling infrastructure as the company grows, ensuring long-term efficiency and performance.What You’ll BringStrong experience in building and deploying machine learning models in production environments.Deep understanding of container orchestration and distributed systems architectureExpertise in Kubernetes administration, including custom resource definitions, operators, and cluster managementExperience developing APIs and managing distributed systems for both batch and real-time workloadsExcellent communication skills, with the ability to interface between research and product engineeringBonus Points IfExpertise with model serving frameworks such as NVIDIA Triton Server, VLLM, TRT-LLM and so on.Expertise with ML toolchains such as PyTorch, Tensorflow or distributed training and inference libraries.Familiarity with GPU cluster management and CUDA optimizationKnowledge of infrastructure as code (Terraform, Ansible) and GitOps practicesExperience with container registries, image optimization, and multi-stage builds for ML workloadsExperience orchestrating across ASR models or LLM models for building various GenAI applicationsWhy Work at Abridge?At Abridge, we’re transforming healthcare delivery experiences with generative AI, enabling clinicians and patients to connect in deeper, more meaningful ways. Our mission is clear: to power deeper understanding in healthcare. We’re driving real, lasting change, with millions of medical conversations processed each month.Joining Abridge means stepping into a fast-paced, high-growth startup where your contributions truly make a difference. Our culture requires extreme ownership—every employee has the ability to (and is expected to) make an impact on our customers and our business.Beyond individual impact, you will have the opportunity to work alongside a team of curious, high-achieving people in a supportive environment where success is shared, growth is constant, and feedback fuels progress. At Abridge, it’s not just what we do—it’s how we do it. Every decision is rooted in empathy, always prioritizing the needs of clinicians and patients.We’re committed to supporting your growth, both professionally and personally. Whether it's flexible work hours, an inclusive culture, or ongoing learning opportunities, we are here to help you thrive and do the best work of your life.If you are ready to make a meaningful impact alongside passionate people who care deeply about what they do, Abridge is the place for you.How we take care of Abridgers:Generous Time Off: 13 paid holidays, flexible PTO for salaried employees, and accrued time off for hourly employees.Comprehensive Health Plans: Medical, Dental, and Vision plans for all full-time employees. Abridge covers 100% of the premium for you and 75% for dependents. If you choose a HSA-eligible plan, Abridge also makes monthly contributions to your HSA. Paid Parental Leave: 16 weeks paid parental leave for all full-time employees.401k and Matching: Contribution matching to help invest in your future.Pre-tax Benefits: Access to Flexible Spending Accounts (FSA) and Commuter Benefits.Learning and Development Budget: Yearly contributions for coaching, courses, workshops, conferences, and more.Sabbatical Leave: 30 days of paid Sabbatical Leave after 5 years of employment.Compensation and Equity: Competitive compensation and equity grants for full time employees.... and much more!Equal Opportunity EmployerAbridge is an equal opportunity employer and considers all qualified applicants equally without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, or disability.Staying safe - Protect yourself from recruitment fraudWe are aware of individuals and entities fraudulently representing themselves as Abridge recruiters and/or hiring managers. Abridge will never ask for financial information or payment, or for personal information such as bank account number or social security number during the job application or interview process. Any emails from the Abridge recruiting team will come from an @abridge.com email address. You can learn more about how to protect yourself from these types of fraud by referring to this article. Please exercise caution and cease communications if something feels suspicious about your interactions. 

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About GPTZeroGPTZero is on a mission to restore trust and transparency on the internet. As the leading AI detection platform, we empower educators, students, journalists, marketers, and writers to navigate the evolving landscape of AI-generated content. With millions of users and institutions relying on us, we’re building a category-defining company at the intersection of AI and information integrity. Our team comes from high-performing engineering cultures, including Uber, Meta, Amazon, Affirm, and leading AI research labs, including Princeton, Caltech, MILA, and Vector.What we're looking forIn this role, you'll build the next-gen platform to verify the origin, quality, and factuality of the world's information. The ideal intern candidate is someone who is a voracious learner, has a history of building applications from the ground up, and can break down complex challenges.You'll be working on a fast-paced team of passionate builders and partnering closely with our ML and design teams, to create industry-defining software that has attracted over 2M users globally. Past intern projects have been the focus of demos to VCs and state-level policy leaders.ResponsibilitiesBuild and deploy high-impact, intuitive, AI-driven web apps in React, Node, and TailwindDevelop top-requested features from our users on our dashboard, chrome extensions, and APIUtilize product analytics to make data-driven product decisionsCollaborate with our ML, design, and business teams to develop new product initiativesWear multiple hats and work across the product stackQualificationsComfortable building end-to-end experiences from backend to CSS+2 years of experience with modern web frameworks (Express, Next.js, Typescript, and React)+1 years of experience with databases (PostgreSQL, AWS RDS)Highly motivated to make positive societal impactWork with 5 hours of overlap with Eastern Standard TimeBonus:strong open-source portfolioexperience working in an early-stage startup environmentexperience as a peer-edited writerWho you'll be joiningOur TeamYou will be working directly withAlex (our CTO) R&D at Uber self-driving division and Facebook, 3 patents in MLEdmond (our fullstack lead) Obama Foundation Scholar at Columbia University and Editor-in-chief of The Andela WayOlivia (our head of design) on translating your research into outputs for millions of users. Edward (our CEO, ex-Bellingcat, Microsoft, BBC investigative journalism) to craft the messages we send to our community, and shape the GPTZero brand.Additionally, you will be working with an experienced (eg. ex-Google, Meta, Microsoft, Bloomberg ML, Uber, Vector, MILA), diverse (eg. an engineering team with both Y-combinator and Obama scholarship recipients, a designer with art featured in the Met), and driven (eg. an operator who has scaled a company to 100M+ revenue and is committed to doing it again) group of individuals, described by one investor as one of the strongest founding teams seen in their career.Together, we are committed to making a permanent impact on the future of writing, and on humanity.Our Angels and Advisors Tom Glocer (Legendary Reuters CEO)Mark Thompson (Legendary NYT CEO and current CNN chief executive)Jack Altman (CEO of Lattice, brother of Sam Altman)Karthik Narasimhan (Princeton NLP Professor, co-author of OpenAI’s original GPT paper) Emad Mostaque (CEO of Stability AI)Doug Herrington (CEO of Worldwide Amazon Stores)Brad Smith (President of Microsoft)Tripp Jones (Partner at Uncork Capital)Ali Partovi (co-founder of Code.org, early investor in Dropbox and Airbnb)Russ Heddleston (CEO of Docsend)Alex Mashrabov (Snapchat, Director of AI)Faizan Mehdi (Affinity, Director of Demand Generation)Our Perks🏥 Health, dental, and mental health benefits💻 Hybrid work in Toronto and NYC offices🚀 Competitive salary🏝 Flexible PTO🎉 Regular company retreats💡Mentorship opportunities with our world-class team, advisors, and investors🙌 Wellness and learning stipend

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Product StrategistLocation: Hybrid/RemoteType: Full-TimeAbout the Role:We are looking for a Product Strategist to lead the development and adoption of the LMArena platform and its leaderboards. This role focuses on increasing visibility and understanding of the core values of the LMArena platform. You will also be creating content that helps the world understand that LMArena is the best place to access all the top AI models and learn which models are the best for their use cases.In this role, you’ll lead the strategic direction of our platform roadmap, working cross-functionally to ship features and grow usage and adoption. You’ll serve as the bridge between the AI community and our internal team, translating real-world needs into product priorities, integration, and communication. You will equally help educate and onboard new users to quickly grasp the value of the platform through marketing content in collaboration with Marketing. Our community includes AI researchers, open-source contributors, and developers building real-world applications with LLMs.This is a high-impact role for someone excited to shape how the AI community measures progress and builds with models in the real world.We believe in evaluation infrastructure that is open, community-driven, and grounded in real-world organic usage. This role is for someone who can advocate for our mission, educate through code and content, and inspire others to contribute to better AI progress.Own and evolve the LMArena leaderboard roadmap in collaboration with our team, setting direction and priorities based on user needs, product metrics, and ecosystem trends.Translate developer needs into product requirements, working closely with engineering, design, and community teams to improve relevance, usability, and clarity of leaderboard features.Collaborate with the data and research teams to refine leaderboard features and ensure leaderboard rankings are interpretable, fair, and aligned with real-world model usage.Collaborate cross-functionally with Engineering, Comms, Marketing and Research to help define how we explain and scale leaderboards.Create educational and inspiring content on a regular cadence, like: trend reports, explainers, demos, or guides that help researchers, builders and Ai professionals understand how leaderboard metrics work, how their input improves model evaluation, and how the AI space is progressing.Shape and amplify LMArena’s scientific voice across X, LinkedIn, and other key platforms. Build trust, grow influence, and make LMArena a go-to source for researchers, academics, and AI professionals.This role is at the intersection of product and marketing/communications. Who is LMArena?Created by researchers from UC Berkeley’s SkyLab, LMArena is an open platform where everyone can easily access, explore and interact with the world’s leading AI models. By comparing them side by side and casting votes for the better response, the community helps shape a public leaderboard, making AI progress more transparent, and grounded in real-world usage. Why Join Us?Trusted by organizations like Google, OpenAI, Meta, xAI, and more, LMArena is rapidly becoming essential infrastructure for transparent, human-centered AI evaluation at scale. With over one million monthly users and growing developer adoption, our impact is helping guide the next generation of safe, aligned AI systems—grounded in open access and collective feedback.Our work is regularly referenced by industry leaders pushing the frontier of safe and reliable AI. Sundar Pichai, Jeff Dean, Elon Musk, and Sam Altman.High Impact: Your work will be used daily by the world’s most advanced AI labs.Global Reach: Develop data infrastructure powering millions of real-world evaluations, influencing AI reliability across industries at the top-tierExceptional Team: We are a small team of top talent from Google, DeepMind, Discord, Vercel, UC Berkeley, and Stanford.Requirements:5+ years of experience in product strategy, product management, developer relations, or a related role in a technical product environmentStrong understanding of AI/ML or developer platforms, with the ability to translate technical concepts into product priorities and user-facing featuresProven ability to drive cross-functional product work from strategy to execution, collaborating with engineering, design, and data/research teamsExcellent written and verbal communication skills, with a track record of producing developer-facing content (e.g., product updates, technical explainers, community posts)Experience working directly with developer or research communities; comfortable gathering feedback, prioritizing needs, and acting as a trusted voice of the userA strategic thinker with hands-on execution ability, equally comfortable setting vision and shipping fastPassion for open, community-driven infrastructure and an appreciation for the importance of neutral, trustworthy evaluation in AIPreferred QualificationsBackground in AI/ML (academic, industry, or open-source contribution)Experience working on or contributing to evaluation tools, benchmark platforms, or technical dashboardsFamiliarity with metrics, data visualization, or interpretability in the context of LLMs or developer toolsPrevious experience in a startup or zero-to-one product environmentAbility to code, build demos, or prototype ideas to engage technical users (Python, JS, or similar) What we offer:The cash compensation for this position in the market is not yet finalized. Actual compensation will depend on job-related knowledge, skills, experience, and candidate location.Competitive salary and meaningful equityComprehensive healthcare coverage (medical, dental, vision)The opportunity to work on cutting-edge AI with a small, mission-driven teamA culture that values transparency, trust, and community impactCome help build the space where anyone can explore and help shape the future of AI.

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About usAt Sierra, we’re creating a platform to help businesses build better, more human customer experiences with AI. We are primarily an in-person company based in San Francisco, with growing offices in Atlanta, New York, and London.We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and Family. These values are the foundation of our work, and we are committed to upholding them in everything we do.Our co-founders are Bret Taylor and Clay Bavor. Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google’s AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace. What you'll doSierra has built a strong data foundation—now we're looking to grow our Data Science team to unlock its full potential. You’ll play a foundational role in driving data strategy, leveraging rich customer interaction data to improve user engagement and product experience. Partnering with engineering, research, and product teams, you’ll develop predictive models, build experimentation capabilities, and embed data-driven decision-making across the company. This is a unique opportunity to shape Sierra’s data future and make a lasting impact on AI-powered customer interactions. Conduct deep-dive analyses of customer data to identify trends, patterns, and actionable insights for improving the customer experience and product strategies.Develop and deploy machine learning models to analyze customer engagement and optimize experiences across chat, agent interactions, and product usage.Collaborate with product, engineering, and research teams to inform product strategy and execution, build excellent experiences, and experiment rapidly.Partner with the data platform team to ensure robust data pipelines and a scalable infrastructure for conducting advanced analytics.What you'll bringProven Experience: Extensive experience in data science and analytics, with background leading projects from ideation to launch.Curiosity & Customer-centricity: Passion for deeply understanding user needs and finding the right solutions from first principles. Adaptability and Resilience: Comfort working in a fast-paced startup environment, able to adapt to changing priorities and handle ambiguity with grace. Technical proficiency: Strong proficiency in statistical analysis, machine learning, and data mining techniques using tools such as Python, R, SQL, and cloud-based platforms (e.g., AWS, GCP). Strong analytic skills: Experience with large-scale data analysis, and working with structured and unstructured data (including customer interaction data, chat logs, and user behavior data).Experimentation expertise: Ability to build and evaluate models for experimentation and causal inference, with a clear understanding of designing and analyzing A/B tests.Excellent communication: Strong written and verbal communication skills, with the ability to present complex technical results to non-technical stakeholders.Great Collaboration: Ability to partner closely with product, engineering, and leadership to help bring ideas to life.Even better...Experience working with large language models (LLMs), conversational AI, or agent-based systems.Familiarity with building or improving data platforms for advanced analytics.Exposure to product analytics or customer experience research in a SaaS or consumer-facing tech company.Our valuesTrust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work.Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it.Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve.Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time.Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements.What we offerWe want our benefits to reflect our values and offer the following to full-time employees:Flexible (Unlimited) Paid Time OffMedical, Dental, and Vision benefits for you and your familyLife Insurance and Disability BenefitsRetirement Plan (e.g., 401K, pension) with Sierra matchParental LeaveFertility and family building benefits through CarrotLunch, as well as delicious snacks and coffee to keep you energized Discretionary Benefit Stipend giving people the ability to spend where it matters mostFree alphorn lessonsThese benefits are further detailed in Sierra's policies and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies.Be you, with usWe're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply even if your experience doesn't precisely match the job description. We strive to evaluate all applicants consistently without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.

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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 seeking a highly skilled, experienced, and hands-on AI Security Engineer to join our security team, driving the protection of next-generation AI systems against adversarial threats. In this role, you’ll design and implement robust mechanisms to secure self-hosted models, LLM APIs, agents, MCPs, and the core AI stack. You'll empower developers with tools and guidance, as well as technical contributions, enabling innovation while ensuring AI security is strong by default. Our tech stack includes Python, NextJS, TypeScript, Docker, AWS, Kubernetes, and PostgreSQL. Responsibilities Define, build, and refine mechanisms to secure AI systems (including self-hosted models, LLM APIs, agents, MCPs, and other core components of the AI stack) against adversarial behavior of all kinds Understand technically complex AI systems, identify potential weaknesses in their architecture, and implement improvements At least 50% of time performing hands-on remediation. Also working closely with peer engineers to drive remediations Plan and carry out threat modeling activities and realistic threat simulations across our offerings Conduct cybersecurity evaluations and lead AI security assessments in a cross-functional environment Develop initiatives that improve our capabilities to effectively evaluate AI systems and enhance the organization's prevention, detection, response, and threat hunting capabilities Provide guidance and education to developers to help deter and prevent threats Qualifications Hands-on coding and prompting experience. Bachelor of Science or Master of Science in Computer Science or a related field, or equivalent experience Be a technical and process subject matter expert regarding AI security services and attacker tactics, techniques, and procedures Good understanding of LLMs, AI architecture patterns, machine learning models, and related technologies such as MCP Understanding of application security principles and secure coding practices Experience developing and implementing security procedures and policies Strong problem-solving, project management, leadership, and communication skills Self-motivated with a willingness to take ownership of tasks 4+ years of industry experience The cash compensation range for this role is $200,000 - $280,000. Final offer amounts are determined by multiple factors, including, experience and expertise, and may vary from the amounts listed above.   Equity: In addition to the base salary, equity may be part of the total compensation package. Benefits: Comprehensive health, dental, and vision insurance for you and your dependents. Includes a 401(k) plan.

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Who We Are HP IQ is HP’s new AI innovation lab. Combining startup agility with HP’s global scale, we’re building intelligent technologies that redefine how the world works, creates, and collaborates. We’re assembling a diverse, world-class team—engineers, designers, researchers, and product minds—focused on creating an intelligent ecosystem across HP’s portfolio. Together, we’re developing intuitive, adaptive solutions that spark creativity, boost productivity, and make collaboration seamless. We create breakthrough solutions that make complex tasks feel effortless, teamwork more natural, and ideas more impactful—always with a human-centric mindset. By embedding AI advancements into every HP product and service, we’re expanding what’s possible for individuals, organisations, and the future of work. Join us as we reinvent work, so people everywhere can do their best work.About The Role HP IQ's System Software team is responsible for firmware, operating system software, hardware-accelerated algorithms, power management, and core developer frameworks supporting our products. We serve as the glue between our hardware teams and our higher-level software teams, and delight in finding creative solutions to complex, interdisciplinary problems as we bring our product visions to life. As a Lead System Software Engineer on this team, you will design, develop and implement drivers, services and frameworks/HAL to enable on-device experiences to take full advantage of our hardware capabilities. You will collaborate closely with our hardware and product teams to enable delightful user experiences. If you enjoy solving complex problems with a world-class team, we’d love to hear from you. What You Might Do Implement/optimize embedded services for Android and Windows platforms Apply best practices for firmware development, test, and deployment Debug, triage, and fix system level issues Develop automated validation and manufacturing tests Essential Qualifications  10+ years experience developing system software on Android/Windows devices Strong software engineering skills, including design, programming (C, C++, or Java) and debugging Ability to collaborate in a psychologically safe and healthy team environment Preferred Skills Experience with embedded security solutions Experience working with wireless technologies (WiFi, Bluetooth) Experience with the debug of SW and HW, identifying root-causes and recommending fixes Awareness of power/performance tradeoffs in SW design Salary range: $180,000 - $270,000Compensation & Benefits (Full-Time Employees) The salary range for this role is listed above. Final salary offered is based upon multiple factors including individual job-related qualifications, education, experience, knowledge and skills. At HP IQ, we offer a competitive and comprehensive benefits package, including: Health insurance Dental insurance Vision insurance Long term/short term disability insurance Employee assistance program Flexible spending account Life insurance Generous time off policies, including;  4-12 weeks fully paid parental leave based on tenure 11 paid holidays Additional flexible paid vacation and sick leave (US benefits overview) Why HP IQ? HP IQ is HP’s new AI innovation lab, building the intelligence to empower humanity—reimagining how we work, create, and connect to shape the future of work. Innovative Work Help shape the future of intelligent computing and workplace transformation. Autonomy and Agility Work with the speed and focus of a startup, backed by HP’s scale. Meaningful Impact Build AI-powered solutions that help people and organisations thrive. Flexible Work Environment Freedom and flexibility to do your best work. Forward-Thinking Culture We learn fast, stay future-focused, and imagine what comes next—together. Equal Opportunity Employer (EEO) Statement HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s). Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence. If you’d like more information about HP’s EEO Policy or your EEO rights as an applicant under the law, please click here: Equal Employment Opportunity is the Law Equal Employment Opportunity is the Law – Supplement

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About Loop Loop is on a mission to unlock profits trapped in the supply chain and lower costs for consumers. Bad data and inefficient workflows create friction that limits working capital and raises costs for every supply chain stakeholder. Loop’s modern audit and pay platform uses our domain-driven AI to harness the complexity of supply chain data and documentation. We improve transportation spend visibility so companies can control their costs and power profit. That is why industry leaders like J.P. Morgan Chase, ABB, Tyson Foods, and Estee Lauder  work with Loop. Our investors include J.P. Morgan, Index Ventures, Founders Fund, 8VC, Flexport, and 50 industry-leading angel investors. Our team brings subject matter expertise from companies like Uber, Google, Flexport, Meta, Samsara, Intuit, Rakuten, and long-standing industry leaders like C.H. Robinson. About the Role Loop is looking for a Senior Product Manager to own our Intelligence product.  You'll own the vision and strategy for a suite of intelligence solutions that transform complex supply chain data into actionable, decision-ready insights for Loop customers.  What You'll Do Own the vision: Set the narrative and strategy to deliver best-in-class supply chain and spend intelligence  Ship undeniably useful products: Lead conception, strategy, execution, and launch of products that generate value and utility for customers on day 1 Champion the customer: Crystallize market and customer insights into user jobs to be done, problems to solve, and use cases to enable Drive product velocity: Work closely with cross-functional partners in data, design, and engineering, driving effective alignment and decisions  Push the innovation edge: Apply understanding of data modeling, analysis, and emerging AI/ ML methods to experiment with and design modern self-serve analytics experiences  What We're Looking For You're a seasoned product manager with 5+ years of experience who has successfully taken analytics or data products from concept to market launch. You thrive in early-stage environments where you can work directly with EPD and GTM teams, translating complex technical capabilities into products that customers actually want to use. You're naturally curious about customer problems and excel at conducting research interviews that uncover the real jobs-to-be-done behind user requests. Your communication skills help you write clear requirements that keep cross-functional teams aligned, and you can tell compelling stories that rally people around a shared product vision. Most importantly, you have a growth mindset and approach problems with an innovation-first mentality. You're the type of person who sees complexity and immediately starts thinking about how to make it actionable for your customers and end users.  Bonus Points Prior exposure to supply chain and or logistics Background working with AI/ML products or data science teams Benefits & Perks Premium Medical, Dental, and Vision Insurance plans, premiums covered 100% for you 401k plan Unlimited PTO Generous professional development budget to feed your curiosity Physical and Mental fitness subsidies for yoga, meditation, gym, etc