AI Creative & Design Jobs

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About Snorkel At Snorkel, we believe meaningful AI doesn’t start with the model, it starts with the data. We’re on a mission to help enterprises transform expert knowledge into specialized AI at scale. The AI landscape has gone through incredible changes between 2015, when Snorkel started as a research project in the Stanford AI Lab, to the generative AI breakthroughs of today. But one thing has remained constant: the data you use to build AI is the key to achieving differentiation, high performance, and production-ready systems. We work with some of the world’s largest organizations to empower scientists, engineers, financial experts, product creators, journalists, and more to build custom AI with their data faster than ever before. Excited to help us redefine how AI is built? Apply to be the newest Snorkeler!About the Role Snorkel AI is hiring a hands-on technical leader to build and lead the machine learning team within our Expert Data-as-a-Service organization. This is a foundational leadership role focused on scaling machine learning and data science excellence across our delivery workflows. You’ll be responsible for hiring and mentoring a high-performing team, establishing best practices for data quality and validation, designing novel ML approaches to make human-in-the-loop techniques to make data generation and review more efficient. You will build the systems and tools that enable consistent, scalable, and high-quality data delivery to our customers. Sitting at the critical intersection of machine learning and operations, you’ll partner closely with the Delivery Operations team and cross-functional stakeholders to define quality standards, develop measurement frameworks, drive ML-based workflows to improve data pipelines and unblock projects through technical innovation. As the founding member, you’ll also roll up your sleeves to define and own the workflows and processes that are needed to deliver exceptional data at scale. Main Responsibilities Build and lead the Data Science and Engineering, Data-as-a-Service organization setting a clear vision and scaling its impact across Snorkel’s Expert Data-as-a-Service workflows Own and evolve the ML components of the DaaS stack, including model-assisted labeling, quality estimation, and data-centric feedback loops that guide human input Define and implement scalable processes for data generation and validation, quality measurement, and delivery-readiness across a range of annotation projects Develop robust systems for request intake, task distribution, SLA tracking, and progress monitoring—ensuring critical delivery support doesn’t fall through the cracks Prototype and deploy LLM-based workflows to assess annotation quality, augment human review and data generation, and accelerate delivery timelines Collaborate cross-functionally with research and engineering teams to develop and productionize HITL data generation methods, quality techniques and improve internal delivery tooling Drive continuous improvement by developing reusable workflows, surfacing operational insights, and helping the org scale faster with higher quality   What We’re Looking For 6+ years of experience in machine learning roles, with 2+ years in technical management positions Proven track record of managing technical teams in fast-paced, delivery-focused environments with competing priorities Experience as a player-coach—comfortable being hands-on while supporting and scaling a small team Proven ability to thrive in fast-paced, ambiguous environments with cross-functional stakeholders Strong practical experience with LLM-based workflows, Python, SQL, and data tooling (e.g., pandas, Plotly, Streamlit, Dash) Bonus: experience working with labeling workflows or internal tooling for data delivery orgs Why Join Snorkel AI? At Snorkel AI, we're building the future of data-centric AI. Our Expert Data-as-a-Service organization partners with world-class customers to solve some of the hardest data challenges — creating training and evaluation data that power the next generation of LLMs and AI systems. You'll work directly on projects that impact real production systems, while shaping how internal teams deliver faster, better, and more intelligently. This is a rare opportunity to found a function and have a broad, lasting impact across the company. The salary range for this position based in the San Francisco Bay Area is $240,000 - $300,000.  All offers include equity compensation in the form of employee stock options. #LI-CG1Be Your Best at Snorkel Joining Snorkel AI means becoming part of a company that has market proven solutions, robust funding, and is scaling rapidly—offering a unique combination of stability and the excitement of high growth. As a member of our team, you’ll have meaningful opportunities to shape priorities and initiatives, influence key strategic decisions, and directly impact our ongoing success. Whether you’re looking to deepen your technical expertise, explore leadership opportunities, or learn new skills across multiple functions, you’re fully supported in building your career in an environment designed for growth, learning, and shared success. Snorkel AI is proud to be an Equal Employment Opportunity employer and is committed to building a team that represents a variety of backgrounds, perspectives, and skills. Snorkel AI embraces diversity and provides equal employment opportunities to all employees and applicants for employment. Snorkel AI prohibits discrimination and harassment of any type on the basis of race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local law. All employment is decided on the basis of qualifications, performance, merit, and business need. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

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Why Casca?Casca is building AGI for banking. We’re replacing decades-old legacy systems with AI-native technology that automates 90% of the manual work humans once had to do. We were founded by a world-class team of banking & AI experts from Stanford, MIT, and Y Combinator. We like to win—and we know that the only thing standing between us and the title is our own ability to improve every day.The MissionCasca was founded by a team of Banking IT experts and AI researchers from Stanford University, Georgia Tech, and Goldman Sachs who believe that the future of banking is AI-native. Backed by Canapi, Y Combinator and top 100 US Banks, we're revolutionizing the $7T lending industry through GenAI systems - killing traditional lending software as we know it.As Founding Technical Account Manager at Casca, you'll build our customer success function from the ground up while ensuring financial institutions successfully adopt our platform. You'll define onboarding processes, lead implementations, establish troubleshooting protocols, and become the trusted technical voice that sets the standard for client relationships as we scale. What you’ll do:As our Founding Technical Account Manager, you’ll:Support our customers post-sale—getting them live, trained, and scaling confidently on the Casca platformOwn technical implementations—from onboarding to troubleshooting to long-term adoptionBe the expert—understand how each customer’s workflow maps to our platform and help them get the most out of itSolve problems—work cross-functionally with product, engineering, and support to resolve issues quickly and keep customers happyTrack customer health—proactively identify blockers, risks, or opportunities based on usage dataBuild trust—serve as the technical voice customers rely on when things get complicatedWhat you’ll bring:1–3 years in a technical support, implementation, or customer success roleStrong communication skills—you can explain complex systems without losing the roomHigh EQ—you know how to empathize, de-escalate, and drive toward outcomesFast learning curve—you’re comfortable working with new tools and APIsResourceful mindset—you don’t wait to be told what to do nextDrive to win—you bring urgency, ownership, and pride to the workBonus points:Experience with B2B SaaS, fintech, or enterprise onboardingExposure to the banking or small business lending spaceLight SQL, Postman, or API experienceYou’ve created technical documentation or training resources beforeYou’ve worked with CS, product, or engineering teams in a fast-moving orgWhat you'll get: A seat on the rocket ship with massive potentialCompetitive salary and full benefitsVisa sponsorshipAs an early-stage company building at the frontier of AI, we work with high intensity and commitment. While schedules can vary by role/team, many weeks will demand extra focus, flexibility and time particularly during major launches and high impact sprints. We're seeking those who are aligned to and able to commit to that expectation which includes 5 days per week in our San Francisco Office.

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About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.About the role As an early member of our Data Science and Analytics team supporting Claude Code, you will play a critical role in shaping the future of AI-powered developer tools. Claude Code is Anthropic's command line tool that enables developers to delegate coding tasks directly to Claude from their terminal, representing a new frontier in human-AI collaboration for software development. You will be embedded with our Claude Code product team to drive data-informed decision making as we scale this revolutionary developer tool. Working at the intersection of AI capabilities research and product development, you'll help us understand how developers interact with AI coding assistants, measure the impact of our tool on developer productivity, and identify opportunities to enhance the developer experience. This role offers a unique opportunity to influence the development of cutting-edge AI tooling while working with some of the most sophisticated language models in the world. You'll help establish data foundations for a rapidly growing product in the emerging AI-assisted development space. Responsibilities: Deep dive into how developers use Claude Code across different programming languages, project types, and workflows to provide insights that inform product strategy and feature development Design and implement metrics to quantify how Claude Code affects developer productivity, code quality, and development velocity across different use cases and skill levels Analyze patterns in human-AI collaboration within coding workflows, identifying opportunities to improve the handoff between developers and Claude for more effective task delegation Develop hypotheses about product changes, design controlled experiments with developer users, and analyze results to guide feature prioritization and development Identify friction points in the Claude Code user journey and provide data-driven recommendations to improve onboarding, retention, and long-term engagement Build robust measurement frameworks to understand CLI adoption patterns, feature utilization, and user segmentation across different developer personas and organizations Partner with engineering to build experimentation capabilities tailored to developer tools, accounting for the unique challenges of measuring productivity and satisfaction in coding workflows Establish foundational data practices and infrastructure to support rapid iteration and decision-making as the Claude Code product scales You may be a good fit if you: Have 5+ years of experience in data science or analytics roles with significant focus on product analytics Have experience working with developer tools, IDEs, command line interfaces, or other technical products used by software engineers Are passionate about AI-assisted development and excited about the potential for AI to enhance developer productivity and creativity Have expertise in Python, SQL, and data visualization tools, with comfort working in command line environments Have experience measuring productivity, engagement, and satisfaction metrics for technical users or B2B products Possess strong instincts for what drives developer adoption and retention of technical tools Have a bias for action and pragmatism, comfortable making decisions with incomplete information in a fast-moving environment Thrive in ambiguity and take initiative to create clarity and drive progress on undefined problems Have experience turning complex technical usage patterns into clear, actionable insights for product and engineering teams Demonstrate exceptional written communication skills and ability to present findings to technical and non-technical stakeholders Strong candidates may also have: Experience with software development workflows, version control systems, and common developer tools Background in developer experience research or working with technical communities Familiarity with AI/ML model outputs and experience analyzing human-AI interaction patterns Experience with command line tools, terminal-based workflows, and developer productivity measurement Understanding of software development lifecycle metrics and engineering productivity frameworks Experience working at developer-focused companies or on products targeting software engineers Knowledge of programming languages and ability to understand code-related usage patterns Deadline to apply: None. Applications will be reviewed on a rolling basis. The expected salary range for this position is:Annual Salary:$275,000—$355,000 USDLogistics Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience. Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process

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📐 About this roleWRITER is experiencing an incredible market moment as generative AI takes the enterprise by storm. At the center of this transformation is our AI Studio — a platform that enables businesses to build, deploy, and scale AI agents across their organizations. We’re looking for a Product manager to lead our Agent builder product area: the canvas where users compose logic, orchestrate tools, and bring autonomous workflows to life.In this role, you’ll own the end-to-end experience of building agents — from the no-code UI to the low-code primitives that power it under the hood. You’ll work on everything from human-in-the-loop flows, to tool orchestration, to reusable components like blocks and memory. This is a deeply cross-functional role that sits at the intersection of UX, platform, and AI infrastructure — and it’s central to how our customers realize value from WRITER.You will report to our Director of product🦸🏻‍♀️ Your responsibilitiesLead the vision, strategy, and execution of the Agent Builder experience, enabling anyone to create and deploy powerful, enterprise-ready AI agentsDefine the primitives (e.g. blocks, state, memory, actions) that make up a reusable and composable agent architectureWork closely with design, engineering, and AI teams to ship high-leverage tools for agent logic, control flow, and human-in-the-loop supervisionPartner with customer-facing teams to understand user pain points and translate those into scalable product improvementsOwn the success metrics for agent creation, usage, and deployment across surfacesCollaborate with peers in Supervise, Ecosystem, and DevX to ensure a seamless agent lifecycle — from building to deploying to scalingStay on top of emerging trends in AI tooling and bring fresh thinking to the UX of agent composition⭐️ Is this you?6+ years of product management experience, with at least 2+ years owning complex UX or builder toolsPrior experience with no-code/low-code platforms, developer tools, or AI/ML productsYou’re passionate about enabling others to create — and can abstract complexity into powerful yet intuitive systemsStrong product thinking and UX sensibility: you can wireframe flows, think in systems, and push for great designProven ability to go 0→1 and scale products from prototype to productionYou know how to partner deeply with engineering and design — and aren’t afraid to get technical when neededYou care about customer success, and build with their goals and constraints in mindBonus: you’ve worked on automation platforms, agent-based systems, or complex data/logic-driven UIs🍩 Benefits & perks (UK full-time employees):Generous PTO, plus company holidaysComprehensive medical and dental insurancePaid parental leave for all parents (12 weeks)Fertility and family planning supportEarly-detection cancer testing through GalleriCompetitive pension scheme and company contributionAnnual work-life stipends for:Home office setup, cell phone, internetWellness stipend for gym, massage/chiropractor, personal training, etc.Learning and development stipendCompany-wide off-sites and team off-sitesCompetitive compensation and company stock options

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📐 About this roleWRITER is experiencing an incredible market moment as generative AI takes the enterprise by storm. At the center of this transformation is our AI Studio — a platform that enables businesses to build, deploy, and scale AI agents across their organizations. We’re looking for a Product manager to lead our Agent builder product area: the canvas where users compose logic, orchestrate tools, and bring autonomous workflows to life.In this role, you’ll own the end-to-end experience of building agents — from the no-code UI to the low-code primitives that power it under the hood. You’ll work on everything from human-in-the-loop flows, to tool orchestration, to reusable components like blocks and memory. This is a deeply cross-functional role that sits at the intersection of UX, platform, and AI infrastructure — and it’s central to how our customers realize value from WRITER.You will report to our Director of product🦸🏻‍♀️ Your responsibilitiesLead the vision, strategy, and execution of the Agent Builder experience, enabling anyone to create and deploy powerful, enterprise-ready AI agentsDefine the primitives (e.g. blocks, state, memory, actions) that make up a reusable and composable agent architectureWork closely with design, engineering, and AI teams to ship high-leverage tools for agent logic, control flow, and human-in-the-loop supervisionPartner with customer-facing teams to understand user pain points and translate those into scalable product improvementsOwn the success metrics for agent creation, usage, and deployment across surfacesCollaborate with peers in Supervise, Ecosystem, and DevX to ensure a seamless agent lifecycle — from building to deploying to scalingStay on top of emerging trends in AI tooling and bring fresh thinking to the UX of agent composition⭐️ Is this you?6+ years of product management experience, with at least 2+ years owning complex UX or builder toolsPrior experience with no-code/low-code platforms, developer tools, or AI/ML productsYou’re passionate about enabling others to create — and can abstract complexity into powerful yet intuitive systemsStrong product thinking and UX sensibility: you can wireframe flows, think in systems, and push for great designProven ability to go 0→1 and scale products from prototype to productionYou know how to partner deeply with engineering and design — and aren’t afraid to get technical when neededYou care about customer success, and build with their goals and constraints in mindBonus: you’ve worked on automation platforms, agent-based systems, or complex data/logic-driven UIs 🍩 Benefits & perks (US Full-time employees)Generous PTO, plus company holidaysMedical, dental, and vision coverage for you and your familyPaid parental leave for all parents (12 weeks)Fertility and family planning supportEarly-detection cancer testing through GalleriFlexible spending account and dependent FSA optionsHealth savings account for eligible plans with company contributionAnnual work-life stipends for:Home office setup, cell phone, internetWellness stipend for gym, massage/chiropractor, personal training, etc.Learning and development stipendCompany-wide off-sites and team off-sitesCompetitive compensation, company stock options and 401kWriter is an equal-opportunity employer and is committed to diversity. We don't make hiring or employment decisions based on race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other basis protected by applicable local, state or federal law. Under the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.By submitting your application on the application page, you acknowledge and agree to Writer's Global Candidate Privacy Notice.

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AI Solutions Engineer (Pre-sales to postsales)About Bland AIWe’re a series B startup, and have raised $65 million from Emergence Capital, Y Combinator, and the founders of PayPal and Twilio. We have a 40 person team, and we serve customers like Better.com, by delivering the most friendly, helpful, and human-like AI phone agents in the world.Why This Role ExistsEvery customer is different – the results they want to drive, expectations of their customer base, and internal systems are totally varied. We need people who are excited to dive into that ambiguity to turn fuzzy goals into concrete plans, ship the first pathways yourself, then broaden adoption across our customer’s org. The RoleAs an AI Engineer at Bland, you’re not just another Solutions Engineer—you’re the product owner of each customer’s onboarding journey. Imagine taking the reins of a micro “product launch” for every new customer. You’ll shape their implementation with our platform, ensuring they go from contract signature to a fully functional AI-driven call flow in under two weeks.If you’re someone who loves blending technical savvy with product thinking—someone who can translate business objectives into tangible product experiences and who treats each deployment like a well-scoped MVP—this role was built for you. Whether you come from a Solutions Engineering background with strong product instincts or you’re an ex-Product Manager eager to get your hands dirty with code and APIs, this is your opportunity to define the next generation of customer experiences.What You’ll DoDrive a 14-Day Launch: Treat each customer’s onboarding like a mini product development cycle. Within two weeks, you’ll deliver a polished, AI-powered phone agent that’s ready to delight callers and move the customer’s needle on key business metrics.Own the Product Vision (Per Deployment): Collaborate with customers to understand their goals, success criteria, and operational context. Then, translate these insights into a clear, measurable deployment plan that aligns with Bland’s capabilities with their strategic objectives.Architect Technical Integrations: Work hands-on with APIs, webhooks, and databases to seamlessly integrate Bland into the customer’s existing systems. Your technical expertise ensures data flows smoothly and securely, setting the foundation for a scalable AI agent experience.Shape Conversational Experiences: Guide the creation and refinement of voice prompts, conversation flows, and call pathways. You’ll blend prompt engineering techniques with user-focused product sense to deliver natural, brand-aligned interactions.Iterate, Adapt, and Communicate: Provide weekly status updates, manage timelines, and communicate proactively with both internal and external stakeholders. Just like a PM, you’ll mitigate risks, reprioritize as needed, and keep everyone aligned around the deployment roadmap.Unlock Future Value: As customers gain confidence, surface new use cases and features that can drive ongoing value. Use your product mindset to spot expansion opportunities and ensure each deployment isn’t just a one-off success, but the start of a long-term partnership. Nice-to-HavesBuilt side-projects or shipped production features with LLMs. Prior life as a founder, solutions architect, PM, CSM, or any other role where you had high ownership over delivering  outcomes and was customer facing. Prior experience owning pre-sales to post-sales to expansions is a huge plus (as long as you’re flexible and excited to learn how to work with LLMs!) Exceptional new grads with strong ownership and ambition are welcome to apply. You’ll Thrive Here If…You’re smart, relentless, and love working with customers You’re organized, keep tight timelines, and deliver clear updates (exceptionally thorough) You like hopping on planes to visit customers on site (not a requirement, but hopefully it’s something you enjoy). You care about the craft and about our customers’ customers – all our phone agents should sound truly human and have “Bland tone” – they should not sound like a corporate robot or like a phone tree.Relentlessness is the most important qualityIf you think you’re missing relevant experience but you’re a fast learner who’s excited for a new challenge – and you have the intangibles our team is looking for – please reach out. As long as you’re resourceful and a fast learner (and you can prove it to our team) we would love to meet you.Compensation & PerksSalary: $120k – $175k base + meaningful equity + benefits. Gorgeous office in Jackson Square, San Francisco (rooftop views & great coffee shops nearby).

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Why HarveyHarvey is a secure AI platform for legal and professional services that augments productivity and automates complex workflows. Harvey uses algorithms with reasoning-adept LLMs that have been customized and developed by our expert team of lawyers, engineers and research scientists. We’ve found product market fit and are scaling our team very quickly. Some reasons to join Harvey are:Exceptional product market fit: We have partnered with the largest law firms and professional service providers in the world, including Paul Weiss, A&O Shearman, Ashurst, O'Melveny & Myers, PwC, KKR, and many others.Strategic investors: Raised over $500 million from strategic investors including Sequoia, Google Ventures, Kleiner Perkins, and OpenAI.World-class team: Harvey is hiring the best talent from DeepMind, Google Brain, Stripe, FAIR, Tesla Autopilot, Glean, Superhuman, Figma, and more.Partnerships: Our engineers and researchers work directly with OpenAI to build the future of generative AI and redefine professional services.Performance: 4x ARR in 2024.Competitive compensation.Role OverviewAs a Majors Customer Success Manager, you’ll play a critical role in guiding our largest customers through their journey with Harvey and defining the future of work at elite law firms, Fortune 500 companies and premier asset managers. This position is pivotal in ensuring our customers not only adopt but also derive maximum value from our technology. You'll act as a trusted advisor, deeply integrating Harvey into their business processes, providing expert industry advice and shaping Harvey’s product roadmap.What You'll DoClient Relationship Management: Serve as the primary contact for customers with a prescriptive and consultative approach and as a thought partner to deliver a superior customer experience.Strategic Implementation: Lead the integration of Harvey into daily workflows, ensuring seamless adoption and optimal use of our AI solutions.Customer Health Monitoring: Proactively and strategically manage overall account health by monitoring key indicators, addressing risks early and driving initiatives that support long-term customer success and retention.Training & Enablement: Evangelize the power of Harvey as you meet with end users and collaborate with Legal Product Specialists to enable end users to adopt Harvey on a daily-basis as it becomes a “must have” product.Advocacy and Engagement: Direct stakeholder engagement and facilitate executive engagement, transforming customers into Harvey champions within their organizations.Feedback Loop: Relay customer insights to our internal teams and collaborate with Product to aid in the continuous improvement of our product and services.Travel required: Up to 25% of the timeWhat You HaveExtensive background in strategic customer success or account management at Enterprise SaaS, legal (big law or in-house or in-house) or top tier management consulting firms.History and comfort conducting change management and wide-scale adoption for large technology projects.Excellent communication and strategic planning skills, and a capability of influencing stakeholders at every level, including at the executive level.Results driven mindset and the ability to ruthlessly prioritize competing tasks and demanding customers seamlessly.A strong commitment to be collaborative and proactive with a team-first mentality.What We OfferA chance to be at the forefront of AI technology and innovation, directly impacting how our customers' businesses operate and thrive.An opportunity to contribute to the growth and direction of our rapidly-evolving Customer Success program, building out best-in-class playbooks and processes.A collaborative work environment that promotes growth, learning, and development.Compensation Range$160,000 - $185,000 OTE with an 80/20 splitPlease find our CA applicant privacy notice here.Harvey 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.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing interview-help@harvey.ai.

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About Augment Code Augment Code is the only AI coding assistant built for professional software engineers working in large, production‑grade codebases. Our Context Engine understands your entire repo, enabling developers to stay in flow while writing, reviewing, and understanding code. Backed by top‑tier investors and trusted by engineering teams at leading tech companies, Augment Code is redefining how modern software is built. About the Role As a Growth Engineer at Augment, you’ll work across the stack to design and build features that drive user acquisition, engagement, and monetization. You’ll collaborate closely with product, design, marketing, and data to run experiments, ship impactful product improvements, and accelerate our growth trajectory. This role is a great fit for someone who thrives in fast-paced environments, enjoys creative problem solving, and is motivated by measurable impact. In this role, you will: Build and ship full-stack features and experiments that drive key growth metrics such as activation, retention, and revenue. Partner with product, design, marketing, and data to identify growth opportunities and implement scalable solutions. Contribute to the technical direction of growth initiatives—balancing speed, quality, and long-term maintainability. Analyze experiment results and use data to inform decisions, iterate on features, and identify new areas for growth. Bring curiosity, creativity, and strong product thinking to help shape user experiences and improve conversion funnels. You have: 5+ years of software engineering experience with strong full-stack or frontend expertise. A track record of shipping high-impact features in fast-paced, experiment-driven environments. A growth mindset—you’re energized by solving ambiguous problems, exploring ideas, and iterating quickly. Strong collaboration skills—you’ve worked closely with cross-functional teams and value shared ownership. Comfort with data—you can analyze metrics, run A/B tests, and use results to drive technical decisions. Product intuition—you think about the user experience and business impact of the code you write. Excitement about the potential of AI-powered developer tools. Bonus if you bring: Experience working on monetization, activation, or retention features. Exposure to growth engineering in startup or high-growth environments. Experience with developer tools, SaaS, or AI-based products. Comfort talking to users or reviewing feedback to inform product iterations. Employee Benefits: Flexible work hours Competitive salary & Equity Tools Stipend Health, Dental, Vision and Life Insurance Short Term and Long Term Disability Unlimited Paid Time Off + Holidays. We focus on trust and ownership, not time in the chair Numerous company social events We will do everything we can within reason to make sure that your interview takes place in an environment that fairly and accurately assesses your skills. If you need assistance or accommodation, please contact your recruiter. Augment Code is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with Augment Code's Applicant Privacy Policy.Pay Transparency Notice: The actual base salary within the stated range will be based on a combination of factors such as an individual's skills, experience level, educational background, and other relevant job-related considerations. Annual Base Salary Range$225,000—$275,000 USD

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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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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 Machine Learning Software Engineer to accelerate the development of our proprietary computer vision and machine learning software that powers our mobility products.  As part of the Metropolis Machine Learning Team, you will be responsible for the development, deployment, and ongoing optimization of edge-deployed software. These systems are foundational to the Metropolis platform and have correspondingly large potential impacts on Metropolis and its customers.  You will find this to be a challenging opportunity filled with unique technical and operational considerations while being able to learn from and leverage our existing Computer Vision based development and operational ecosystem.  The right candidate will possess a strong background in C++ and OpenCV, experience with computer vision and ML on edge / embedded systems, and demonstrated experience taking complex software systems from concept to production.  You can expect to be working on all stages of the software development pipeline – from problem analysis and design to prototyping and deployment.  You should be able to thrive and succeed in an entrepreneurial setting, 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.   Responsibilities Work with the Machine Learning Team to design, develop, improve, and optimize computer vision, machine learning and application software on edge devices using C++.  Participate in all phases of embedded software development, from concept and design to deployment and maintenance.  Identify top-level software requirements and establish development best practices.  Deliver high-quality C++ code in a real-time embedded environment.  Perform optimization on Machine Learning models targeting different hardware accelerators e.g. CUDA cores, Qualcomm DSP, etc.  Implement, manage, and support over-the-air software updates to edge systems.  Communicate ideas and results effectively, verbally and in writing, to a wide range of technical and non-technical audiences.    Qualifications  BS, MS, or Ph.D. in a Computer Science and Engineering or relevant discipline.  5+ years experience in modern software design, development, version control, refactoring, and testing  5+ years of experience with C++17 onward and a strong understanding of object-oriented programming  3+ years of experience working with C++ OpenCV, SQLLite and MQTT.  Experience in parallel computing, accelerator architecture, CUDA, Qualcomm DSP, and TensorRT libraries.  Experience with ARM Cortex series microcontroller  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  Strong preference for candidates to be local to the Seattle area. Will also consider candidates in Los Angeles, Seattle, and New York.   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 $170,000.00 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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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 Machine Learning Software Engineer to accelerate the development of our proprietary computer vision and machine learning software that powers our mobility products.  As part of the Metropolis Machine Learning Team, you will be responsible for the development, deployment, and ongoing optimization of edge-deployed software. These systems are foundational to the Metropolis platform and have correspondingly large potential impacts on Metropolis and its customers.  You will find this to be a challenging opportunity filled with unique technical and operational considerations while being able to learn from and leverage our existing Computer Vision based development and operational ecosystem.  The right candidate will possess a strong background in C++ and OpenCV, experience with computer vision and ML on edge / embedded systems, and demonstrated experience taking complex software systems from concept to production.  You can expect to be working on all stages of the software development pipeline – from problem analysis and design to prototyping and deployment.  You should be able to thrive and succeed in an entrepreneurial setting, 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.   Responsibilities Work with the Machine Learning Team to design, develop, improve, and optimize computer vision, machine learning and application software on edge devices using C++.  Participate in all phases of embedded software development, from concept and design to deployment and maintenance.  Identify top-level software requirements and establish development best practices.  Deliver high-quality C++ code in a real-time embedded environment.  Perform optimization on Machine Learning models targeting different hardware accelerators e.g. CUDA cores, Qualcomm DSP, etc.  Implement, manage, and support over-the-air software updates to edge systems.  Communicate ideas and results effectively, verbally and in writing, to a wide range of technical and non-technical audiences.    Qualifications  BS, MS, or Ph.D. in a Computer Science and Engineering or relevant discipline.  5+ years experience in modern software design, development, version control, refactoring, and testing  5+ years of experience with C++17 onward and a strong understanding of object-oriented programming  3+ years of experience working with C++ OpenCV, SQLLite and MQTT.  Experience in parallel computing, accelerator architecture, CUDA, Qualcomm DSP, and TensorRT libraries.  Experience with ARM Cortex series microcontroller  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  Strong preference for candidates to be local to the Seattle area. Will also consider candidates in Los Angeles, Seattle, and New York.   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 $170,000.00 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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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.