You'll implement the Bay Area Regional Climate Action Plan (BARCAP) with the Bay Area Air District. You'll support workshops, data visualization, and written deliverables to reduce climate pollution. This fellowship offers hands-on experience in a public agency and professional development.

Arduino

Open-source electronic prototyping platform

About the Role Chime is looking for a seasoned engineering leader to help manage and guide the Data team to drive the company to build a scalable and self-serve data foundation. As a Senior Engineering Manager in the Data team, you will lead the effort to enable Chime to democratize data with stronger governance. The base salary offered for this role and level of experience will begin at $230,000.00 and up to $319,000.00. Full-time employees are also eligible for a bonus, competitive equity package, and benefits. The actual base salary offered may be higher, depending on your location, skills, qualifications, and experience. In this role, you can expect to Drive the next generation of FinTech innovation by leading AI-driven, data-centric initiatives that accelerate business growth, improve decision-making, and advance Chime's data platform. Partner closely with Analytics, Product, Data Science, and cross-functional stakeholders to deliver high-quality, trusted, and secure data products while serving as a strategic thought partner to the business. Lead, mentor, and grow high-performing engineering teams, fostering a culture of technical excellence, collaboration, innovation, and continuous learning. Champion innovation and continuous improvement by establishing a clear sense of urgency and direction, setting high expectations for both the team and individual contributors, and driving operational excellence. Collaborate across teams to prioritize work, resolve issues, and remove delivery obstacles, ensuring the team remains focused on delivering the highest business impact while maintaining engineering quality and velocity. To thrive in this role, you have 7+ years of experience leading Data Engineering teams. Proven experience building scalable, AI-ready data platforms, semantic models, and trusted data products. Strong partnership with Product, Analytics, Data Science, and Marketing to deliver business outcomes. Experience driving engineering excellence, including data quality, governance, CI/CD, and operational reliability. Experience with Growth and Marketing data platforms, including attribution, funnels, and experimentation. Experience in Supporting teams to deliver solution on tech stack such as Spark,Snowflake, Data Warehouse, Data Lake, Key-Value store, dbt #LI-WW1 #LI-Onsite A little about us At Chime, we believe that everyone can achieve financial progress. We created Chime—a financial technology company, not a bank*—on the premise that core banking services should be helpful, easy, and free. Through our user-friendly tools and intuitive platforms, we empower our members to take control of their finances and work towards their goals. Whether it's starting a savings account, purchasing a first car or home, launching a business, or pursuing higher education, we're proud to have helped millions unlock their financial potential. We're a team of problem solvers, dreamers, and builders with one shared obsession: our members. From day one, Chimers have worked tirelessly to out-hustle and out-execute competitors to bring our mission to life. Their grit and determination inspire us to work harder every day to deliver the very best experience possible. We each bring an owner's mindset to our work, refusing to be outdone and holding ourselves accountable to meet and exceed the highest bars for our teams, our company, and our members. We believe in being bold, dreaming big, and taking risks, while also working together, embracing our diverse perspectives, and giving each other honest feedback. Our culture remains deeply entrepreneurial, encouraging every Chimer to see themselves as stewards of our mission to help everyday Americans unlock their financial progress. We know that to achieve our mission, we must earn and keep people's trust—so we hold ourselves to the highest standards of integrity in everything we do. These aren't just words on a wall—our values are embedded in every aspect of our business, serving as a north star that guides us as we work to help millions achieve their financial potential. Because if we don't—who will? *Chime is a financial technology company, not a bank. Banking services provided by The Bancorp Bank, N.A. or Stride Bank, N.A., Members FDIC. What we offer for our full-time, regular employees 🏢 Our in-office work policy is designed to keep you connected - with four days a week in the office and Fridays from home for those near one of our offices, plus team and company-wide events depending on location. Whether you’re coming in regularly or are part of our fully remote program, you’ll stay engaged with your work and teammates. 💻 In-office perks including backup child, elder, and/or pet care, plus a subsidized commuter benefit to support your regular commute 💰 Competitive salary based on experience ✨ 401k match plus great medical, dental, vision, life, and disability benefits 🏝 Generous vacation policy and company-wide Chime Days, bonus company-wide paid days off 🫂 1% of your time off to support local community organizations of your choice 👟 Annual wellness stipend to use towards eligible wellness related expenses 👶 Up to 24 weeks of paid parental leave for birthing parents and 12 weeks of paid parental leave for non-birthing parents 👪 Access to Maven, a family planning tool, with $15k lifetime reimbursement for egg freezing, fertility treatments, adoption, and more. 🎉 In-person and virtual events to connect with your fellow Chimers—think cooking classes, guided meditations, music festivals, mixology classes, paint nights, etc., and delicious snack boxes, too! 💚 A challenging and fulfilling opportunity to join one of the most experienced teams in FinTech and help millions unlock financial progress We know that great work can’t be done without a diverse team and inclusive environment. That’s why we specifically look for individuals of varying strengths, skills, backgrounds, and ideas to join our team. We believe this gives us a competitive advantage to better serve our members and helps us all grow as Chimers and individuals. Chime is proud to be an Equal Opportunity Employer. We consider qualified applicants without regard to race, color, ancestry, religion, sex, national origin, sexual orientation, gender identity, age, marital or family status, disability, genetic information, veteran status, or any other legally protected basis under provincial, federal, state, and local laws, regulations, or ordinances. We will also consider qualified applicants with criminal histories in a manner consistent with the requirements of state and local laws, including the San Francisco Fair Chance Ordinance, Cook County Ordinance, NYC Fair Chance Act, and the LA City Fair Chance Ordinance, and consistent with Canadian provincial and federal laws. If you have a disability or special need that requires accommodation during any stage of the application process, please contact: [email protected] . To learn more about how Chime collects and uses your personal information during the application process, please see the Chime Applicant Privacy Notice.

Jobs | Chime Careers

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About Black Forest Labs We're the team behind Latent Diffusion, Stable Diffusion, and FLUX—foundational technologies that changed how the world creates images and video. We’re creating the generative models that power how people make images and video—tools used by millions of creators, developers, and businesses worldwide. Our FLUX models are among the most advanced in the world, and we're just getting started. Headquartered in Freiburg, Germany with a growing presence in San Francisco, we're scaling fast while staying true to what makes us different: research excellence, open science, and building technology that expands human creativity. Why This Role Our research team moves fast. Models improve weekly. New capabilities emerge constantly. What slows us down is not model quality—it’s productionization. Without this role: Research checkpoints sit longer before becoming usable APIs Inference is slower than it needs to be APIs struggle under load Demos don’t reflect the true potential of our models This role removes the bottleneck between frontier research and production reality. Once hired, researchers ship faster, demos launch faster, and customers experience models at their best. What You’ll Work On You will own the bridge between research breakthroughs and production systems. Turn research checkpoints into production-ready inference services Design and maintain high-performance APIs serving millions of requests Optimize inference latency and throughput across GPU infrastructure Build scalable serving architectures that handle unpredictable traffic Improve reliability, monitoring, and observability across model-serving systems Prototype and ship demos that showcase new capabilities in days, not weeks Collaborate closely with researchers to move from idea to live endpoint rapidly Tools & Context – Model Serving & API Infrastructure Python, FastAPI, async systems GPU infrastructure, CUDA, inference optimization Docker and Kubernetes Redis, Postgres, distributed task queues Cloud platforms (AWS, GCP, or Azure) Observability stacks (metrics, logging, tracing) This role spans backend systems, GPU performance, and production ML serving. What We’re Looking For You’ve built and operated systems at meaningful scale. You understand the difference between a research prototype and a production system. You are comfortable navigating ambiguity, making tradeoffs, and improving systems under real-world constraints. You demonstrate: Strong judgment around performance, reliability, and cost tradeoffs Experience scaling APIs or ML systems under load Comfort working in fast-moving, research-adjacent environments Ownership from system design through debugging and deployment Role-specific experience we value: Building and operating ML inference services in production Designing scalable API architectures with async processing Optimizing GPU workloads (batching, quantization, compilation, CUDA) Managing distributed systems and task queues under variable load Implementing monitoring and observability for production ML systems Debugging performance bottlenecks across model, infrastructure, and network layers Bonus experience includes: Real-time or low-latency inference systems TensorRT, reduced precision, layer fusion, or model compilation techniques Frontend demo tooling (Streamlit, Gradio, React) CI/CD and automated testing for ML systems Security best practices for API and model serving How We Work Together We’re a distributed team with real offices that people actually use. Depending on your role, you’ll either join us in Freiburg or SF at least 2 days a week (or one full week every other week), or work remotely with a monthly in-person week to stay connected. We’ll cover reasonable travel costs to make this possible. We think in-person time matters, and we’ve structured things to make it accessible to all. We’ll discuss what this will look like for the role during our interview process. Everything we do is grounded in four values: Obsessed. We are a frontier research lab. The science has to be right, the understanding deep, the product beautiful. Low Ego. The work speaks. The best idea wins, no matter who said it. Credit is shared. Nobody is above any task. Bold. We take the ambitious bet. We ship, we do not wait for conditions to be perfect. Kind. People over politics. We treat each other with genuine warmth. Agency without empathy creates chaos. Base Annual Salary: $180,000–$300,000 USD We're based in Europe and value depth over noise, collaboration over hero culture, and honest technical conversations over hype. Our models have been downloaded hundreds of millions of times, but we're still a ~50-person team learning what's possible at the edge of generative AI.

Jobs at Black Forest Labs

At Black Forest Labs, we’re on a mission to advance the state of the art in generative deep learning for…

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 Claude.ai is Anthropic's flagship consumer product, spanning web, mobile, desktop, and browser extensions—and it's growing fast. The Web Platform team owns the foundational layer that makes all of this possible: the shared infrastructure, components, APIs, and tooling that let every other product team at Anthropic ship quickly, reliably, and with confidence. As a Software Engineer on this team, you'll be hands-on building the platform that other engineers depend on every day. This means designing and shipping shared components and design-system-level abstractions, evolving the backend-for-frontend (BFF) APIs that power our client applications, and improving the build, deploy, and observability systems that keep Claude.ai running smoothly across surfaces. Your work will directly shape how fast teams across Anthropic can innovate—and how stable their experiences are when they do. This is a great fit if you care deeply about developer experience and want your engineering work to have outsized leverage: instead of shipping one feature, you're building the tools and systems that make dozens of features possible. Key responsibilities Improve developer velocity across the organization by reducing friction in our build, deploy, and testing pipelines Work on performance and reliability: identify and resolve latency issues, improve observability, and help establish high standards that the rest of the platform team can build on Design and build shared UI components, libraries, and abstractions that product teams across Anthropic use to ship consistently and efficiently on web and mobile Partner closely with product engineering teams to understand their needs, unblock them when possible, and shape platform investments around where the most impact is Help maintain and evolve documentation and tooling that make the platform approachable for engineers joining or building on top of it Minimum qualifications Have strong practical skills in modern web technologies (React, TypeScript or comparable frameworks) and experience designing or consuming APIs that serve frontend applications Care about developer experience and have a track record of building things that make other engineers more productive Have solid instincts around reliability, observability, and performance—and enjoy operationalizing those instincts in production systems Thrive in fast-paced, collaborative environments and enjoy working closely with cross-functional partners Pick up slack, even if it goes outside your job description Preferred qualifications Have 5+ years of software engineering experience, with significant time spent building shared platforms, developer tools, or infrastructure that other engineers rely on Building shared component libraries, design systems or reusable UI infrastructure API design and and client-server architecture patterns that balance flexibility with consistency across client platforms Performance optimization and latency reduction in production web applications CI/CD, build systems, and/or deployment automation Observability and monitoring (e.g. metrics, logging, tracing) The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary:$320,000—$405,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position 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. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. 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.

Jobs at Anthropic

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Growth Marketer Ember — AI RCM. Increase net revenue by 16%. We are building the AI platform healthcare organizations trust to code and bill accurately. Ember sits inside the revenue cycle for provider groups, turning documentation into clean, defensible charges and catching the denials that quietly drain millions. People who see it, get it. The challenge isn't persuasion, it's reach, and this role exists to solve it. You will own lead generation and build the pipeline engine that feeds sales. You will join a small team and scale it, with high autonomy and no playbook to inherit. Some channels already work, others you will build, and you will partner with our digital marketing specialist, sales, and agencies to double down on what scales and cut what doesn't. What matters most is how you work. You are analytically rigorous, structuring problems and letting data drive decisions. You are relentlessly resourceful: when something breaks, you don't flag it, you fix it. You are creative, and you move fast enough that learning happens through doing. Essentially, you get sh\*t done. Titles matter less than whether you can crack a hard problem and execute. ### **What You’ll Do** * **Own lead generation.** Drive qualified leads across your channels, from the website to email, LinkedIn, webinars, and conferences, and continuously optimize conversion at every stage of the funnel. * **Run campaigns.** Design and ship email and social campaigns that drive meetings and pipeline. Build the sequences, write the copy, measure the results. * **Drive webinars.** Plan and execute webinars as a lead gen channel, from topic selection to promotion to post-event follow-up. * **Own conference strategy.** Manage pre-event outreach, on-the-ground execution, and ROI analysis for the conferences that reach decision makers and buyers. * **Report on what works.** Build the dashboards that show what's generating pipeline and what isn't, so the whole team makes sharper bets. * **Sharpen the GTM engine.** Fine-tune the workflows and AI-powered automations we already run so a small team keeps operating at the pace of a much larger one. ### **Who You Are** You might come from growth marketing, demand gen, or revenue marketing. You might come from a generalist role at a high-growth startup, or you might have started in sales, consulting, or ops and moved into marketing because you're drawn to the problem-solving side of driving growth. Your background matters less than how you think and work. * 3 to 5+ years in a fast-paced B2B environment in a Growth, Demand Gen, or related marketing role. * Demonstrated results across two or more growth channels: LinkedIn, email, events (webinars and conferences), or partner programs. * A problem-solver who uses data. You break down complex problems, figure out how to crack them, and measure whether it worked. * Excellent written communication. You can write outreach copy, campaign messaging, and landing page content that converts. * Intellectual curiosity about AI and technology. You should be excited to learn our platform and talk about it credibly with a sophisticated healthcare buyer. Location: Burlingame, CA, US / San Francisco, CA, US / Remote (New York, NY, US; Chicago, IL, US; Nashville, TN, US; Boston, MA, US) Type: Full-time Salary: $110K - $130K Experience: 3+ years Visa: US citizen/visa only

Ember

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You'll architect and operate an **AI-first demand generation machine** for Kana.ai, maximizing sales team at-bats. You'll own the technical stack and execution of our GTM strategy, treating the funnel like code. This role offers the autonomy to build a **future-proof GTM playbook** with no legacy processes.

Kana

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You'll own product strategy and execution across consumer gifting, growth, and business gifting surfaces at a fast-growing startup. You'll turn **vague problems into concrete features** and drive projects from concept to launch. This role offers **end-to-end ownership** and direct collaboration with the founding team.

On Me

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You'll be the fourth engineer at a **fast-growing startup** revolutionizing digital gifting. You'll own end-to-end product experiences across web, iOS, and Android, building **polished UIs** and **resilient backend systems** that handle millions in transactions. This role offers meaningful ownership and the chance to shape engineering culture from the ground up.

On Me

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You'll build and maintain the platform that powers how leading brands measure the causal impact of their marketing spend. You'll work primarily in Python across a set of tightly integrated repositories, collaborating with applied scientists to translate research into production code. This role offers the chance to **ship improvements that compound** in a production system serving real customers, using **AI-assisted development tools** as a force multiplier.

CleanHaus

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You'll set the technical direction for Haus's data ingestion and normalization platform, powering causal experiments and marketing mix models. You'll design high-leverage systems like schema evolution, data quality frameworks, and pipeline observability. This role offers the chance to work with top-tier peers from Google, Netflix, Meta, and Amazon.

CleanHaus

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You'll own complex onboardings for **causal inference and incrementality** platform Haus, working with **GeoLift and cMMM** implementations. You'll partner with Product, Data, Science, and Engineering to resolve data issues and improve processes. This role offers the chance to shape onboarding practices at a **LinkedIn Top Startup 2025**.

CleanHaus

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You'll set the technical direction for Haus's data ingestion and normalization platform, powering causal experiments and marketing mix models. You'll architect systems for schema evolution, data quality, and pipeline observability. This role offers the chance to work with top-tier peers from Google, Netflix, Meta, and Amazon.

CleanHaus

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You'll join a team building **causal inference-based econometric models** to optimize ad spend for leading brands. Your work will help marketers **measure the business impact** of marketing, pricing, and promotions with scientific precision. This role offers the chance to contribute to a **well-capitalized startup** backed by top-tier VCs.

CleanHaus

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You'll own **AI-powered features** end-to-end, from problem definition to production rollout. You'll design **AI systems grounded in company data** using large-scale datasets. This role bridges research and production at a frontier AI company.

Nexxa.ai

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You'll be the **first engineering hire** at Sandfox, building an **adaptive buyer-led discovery platform** for enterprise B2B. You'll work directly with the founder to turn product vision into production software and establish engineering standards. This is a rare opportunity to shape both product and company from the ground up.

Superset

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You'll lead **Forward Deployed Engineering** at Checksum, building AI that learns how software behaves. You'll drive **customer implementations** and turn field insights into product improvements. This is a player-coach role where you'll take on the hardest deployments yourself.

Superset

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You'll architect and operate an **AI-first demand generation machine** for Kana, the agentic marketing platform. Your core impact is maximizing **sales team at-bats** through personalized, scalable outreach. This ground-floor role lets you shape the GTM motion alongside experienced founders.

Superset

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You'll own the product roadmap for an **AI-native sales-coaching platform** serving financial-services professionals. Your core impact is turning first US enterprise customers into product wins and scaling from there. This founding role offers **direct partnership with founders** and **high leverage** on product direction.

Superset

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You'll develop the **attitude control system** for our **Hummingbird spacecraft bus**, working closely with the CTO and embedded GNC engineer. Your core impact will be characterizing, simulating, and iterating on a novel control and noise cancellation system. This role stands out for its deep technical challenges and collaborative, learning-focused environment.

Samara Aerospace

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You'll own the full lifecycle of RF systems development for **satellite communications** at **Samara Aerospace**, a startup revolutionizing satellite design. You'll lead architectural trade studies, design and test RF hardware, and collaborate across engineering teams to deliver high-performance solutions for space missions.

Samara Aerospace

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