Video engineer jobs in San Francisco, CaliforniaCreate job alerts

Collaborate with other software engineers and product teams to ensure successful implementation of software solutions to meet our primary goals. Mentor the next generation of software engineers. In the role of Senior Software Engineer, Video Transcoding, you will report to the Manager of Video Trans

Join our journey to create the best cross-platform application for messaging and real-time interactions! The Audio & Video engineering team at Discord owns the technology and end-to-end experience of audio/video across desktop and mobile. The team’s mission is to give our users an outstanding voic

We are looking for a passionate machine learning expert to lead design and development of next-gen video intelligence efforts that drive key applications powered by multimodal video understanding. You have significant experience in building reliable machine learning products in the computer vision d

The Audio & Video Infrastructure team builds and maintains our WebRTC-based systems and scales the infrastructure that enables millions of concurrent voice and video conversations. Build and optimize real-time Audio & Video systems that handle millions of concurrent users, focusing on implementation

Proficiency in AV technologies, including an understanding of audio/video signal flow, AV equipment functionality, audio, video, and communications circuitry, AV IT control systems, and industry standards. Audio Visual Services Engineer. The Audio Visual (AV) Services Engineer will support the strat

Join our journey to create the best cross-platform application for messaging and real-time interactions! The Audio & Video engineering team at Discord owns the technology and end-to-end experience of audio/video across desktop and mobile. Work with customer support team troubleshooting real-world en

Join our journey to create the best cross-platform application for messaging and real-time interactions! The Audio & Video engineering team at Discord owns the technology and end-to-end experience of audio/video across desktop and mobile. The team’s mission is to give our users an outstanding voic

Job DescriptionAbout the Role We’re an early-stage stealth startup building a new kind of platform for generative media. Our mission is to enable the future of real-time generative applications: we’re building the foundational tools and infrastructure that make entirely new categories of generative experiences and applications finally possible. We’re a small, focused team of ex-YC and unicorn founders and senior engineers with deep experience across 3D, generative video, developer platforms, and creative tools. We're backed by top-tier investors and top angels, and we're building a new technical foundation purpose-built for the next era of generative media. We’re operating at the edge of what’s technically possible: high-performance inference and real-time orchestration of multimodal models. As one of our founding engineers, you’ll play a key role in architecting the core platform, shaping system design decisions, and owning critical infrastructure from day one. If you're excited about architecting and building high-performance infrastructure that empowers the next generation of developers and unlocks entirely new products categories, we’d love to talk. About the Role We’re looking for a Founding Engineer, ML Performance & Systems with deep expertise in high-performance ML infrastructure. This is a highly technical, high-impact role focused on squeezing every drop of performance from real-time generative media models. You’ll work across the model-serving stack, designing novel architectures, optimizing inference performance, and shaping Reactor’s competitive edge in ultra-low-latency, high-throughput environments What You’ll Do • Drive our frontier position on real-time model performance for diffusion models, • Design and implement a high-performance in-house inference engine, • Focus on maximizing throughput and minimizing latency and resource usage, • Strong foundation in systems programming, with a track record of identifying and resolving bottlenecks, • Deep expertise in the ML infrastructure stack:, • PyTorch, TensorRT, TransformerEngine, Nsight, • Model compilation, quantization, and advanced serving architectures, • Working knowledge of GPU hardware (NVIDIA) and the ability to dive deep into the stack as needed (e.g., writing custom GEMM kernels with CUTLASS), • Proficient in CUDA or willing to learn, with comparable experience in low-level accelerator programming, • Excited by the frontier of multi-dimensional model parallelism (e.g., combining tensor, context, and sequence parallelism), • Expertise in systems programming (C++, CUDA), • Experience optimizing ML inference on GPUs, • Proficient with PyTorch and tools like TensorRT, • Deep understanding of NVIDIA GPU architecture, • Competitive SF salary and foundational team equity

Job Description We are Genmo, a research lab dedicated to building open, state-of-the-art models for video generation towards unlocking the right brain of AGI. Join us in shaping the future of AI and pushing the boundaries of what's possible in video generation. We're seeking a GPU Performance Engineer to squeeze every last FLOP from our H100 infrastructure and optimize our model serving stack to its absolute limits. The Role You'll be our performance optimization expert, using advanced profiling tools to identify bottlenecks and implementing solutions that achieve 5-10x speedups. From writing custom CUDA kernels to eliminating cold start latency, you'll ensure our infrastructure delivers world-class performance. This role is perfect for someone who gets excited about microsecond optimizations and pushing hardware to its theoretical limits. Key Responsibilities * Profile and optimize GPU workloads using Nsight Systems, nvprof, and custom instrumentation * Write high-performance CUDA and Triton kernels for critical model operations * Optimize cold start latency from seconds to milliseconds for our serving infrastructure * Tune memory access patterns, kernel fusion, and GPU utilization * Collaborate with ML engineers to optimize model implementations * Debug performance issues across the full stack from application to hardware * Implement custom memory pooling and allocation strategies * Share optimization techniques and build performance culture across teams Qualifications * Bachelor's or Master's degree in Computer Science, Electrical Engineering, or related field * 5+ years systems programming experience with 3+ years focused on GPU optimization * Expert proficiency with GPU profiling tools (Nsight Systems, nvprof) * Strong CUDA programming skills with production kernel development * Deep understanding of GPU architecture (memory hierarchy, SMs, warps) * Track record of achieving significant performance improvements (5-10x) * Experience with Python and C++ in production environments We Value * Experience with Triton kernel development * Knowledge of CUTLASS or similar high-performance libraries * Background in ML-specific optimizations (attention, transformers) * RDMA/InfiniBand optimization experience * Contributions to GPU libraries or frameworks * Low-level debugging skills (PTX/SASS reading) Genmo is an Equal Opportunity Employer. Candidates are evaluated without regard to age, race, color, religion, sex, disability, national origin, sexual orientation, veteran status, or any other characteristic protected by federal or state law. Genmo, Inc. is an E-Verify company and you may review the Notice of E-Verify Participation and the Right to Work posters in English and Spanish.

Senior Research Engineer - Video & Audio Generative AI / ML. Join to apply for the Senior Research Engineer - Video & Audio Generative AI / ML role at Canva.

Job Description The Frontend Role: We're seeking a talented Front-End Engineer to join our team and help us build the next generation of anime and video game tools. You'll be responsible for designing and developing complex front-end applications, usually in react and typescript, with a focus on making responsive and delightful user interfaces. You may be a good fit if: You love anime and the anime aesthetic As a member of our team, you'll have the opportunity to push the boundaries of what's possible in the anime and video game industry. Ideally you're a fan of the genre. You enjoy working on complex SPAs. Most of our apps are interaction-heavy single-page editors, much closer in spirit to photoshop and blender than your typical SaaS app. A willingness to dive headfirst into canvas, webGL, and (maybe!) webGPU is recommended! And you also have some design sense. Large complex SPAs have all sorts of super interesting UI/UX challenges! We're looking for someone with experience building tasteful UI, a good design sense for layout, experiences, and microinteractions. You're comfortable working on small, fast-paced teams We currently have a tiny team of three on frontend engineering. You'll be working directly with some of the best AI researchers in the world to integrate their state-of-the-art models into your beautiful interfaces. We also believe in the unmatched speed of in-person teams, and prefer on-site collaboration in either our primary research office in Tokyo (downtown Akihabara) or San Francisco. Visa sponsorships are available.

Job DescriptionAbout the Role We’re an early-stage stealth startup building a new kind of platform for generative media. Our mission is to enable the future of real-time generative applications: we’re building the foundational tools and infrastructure that make entirely new categories of generative experiences and applications finally possible. We’re a small, focused team of ex-YC and unicorn founders and senior engineers with deep experience across 3D, generative video, developer platforms, and creative tools. We're backed by top-tier investors and top angels, and we're building a new technical foundation purpose-built for the next era of generative media. We’re operating at the edge of what’s technically possible: high-performance inference and real-time orchestration of multimodal models. As one of our founding engineers, you’ll play a key role in architecting the core platform, shaping system design decisions, and owning critical infrastructure from day one. If you're excited about architecting and building high-performance infrastructure that empowers the next generation of developers and unlocks entirely new products categories, we’d love to talk. Who you are • Proficiency in building and maintaining full-stack web applications, • Experience with modern frameworks and languages such as Python, Next.js, and Postgres, • Strong understanding of API design principles, authentication strategies (OAuth, API keys), and SDK architecture, • Familiarity with developer tooling and platforms—understanding what makes great documentation, intuitive DX, and reliable SDKs, • Experience with OpenAPI / Swagger and API gateway design, • Familiarity with WebSockets, streaming APIs, or real-time collaboration tools, • Competitive SF salary and foundational team equity

Job Description Are you a talented, high-caliber engineer looking to join a collaborative team where you can make a massive impact on a growing business? Do you take pride in building great software using modern technologies? Rockbot is building the future of streaming media in businesses, and this role will play a key part in our Ads Pod — the team responsible for transforming how ads are delivered, targeted, and measured across our platform. You'll help shape scalable systems that power dynamic ad experiences for in-location media, driving value for both our customers and brand partners. Engineering is a tight-knit group in which everyone has an impact on our company's success. We're looking for a self-motivated individual who thrives in this type of environment. The Rockbot team is committed to creating uniquely curated brand opportunities by changing the way content is experienced through our platform in businesses of every size and shape. We are technologists, music lovers, and content creators all focused on producing the most amazing customer experience possible — and we're having a great time doing it! If this sounds compelling, let's talk. What You'll Do: • Architect and implement scalable solutions to support a growing number of users and advertising campaigns., • Develop and maintain high-performance ad-serving systems to ensure reliable ad delivery., • Build innovative ad products to simplify ad operations and streamline sales workflows., • Collaborate with internal data platform teams to prototype and validate in-house tools for data analysis, algorithm automation, and data-driven decision-making., • Collaborate with other teams and third-party services to seamlessly integrate the ad serving pipeline with relevance, targeting, bidding, and asset serving systems., • Develop scalable data pipelines and systems to support ad measurement, ROI analysis, and revenue attribution., • Broad knowledge of ad tech and the advertising landscape, programmatic advertising, and digital marketing trends, • Good product sense and prior experience designing and launching product features, • Exceptional ability to work with and refactor legacy code effectively, adapting to frequent requirement changes., • Exceptional skill in debugging production issues, especially for ad impressions on remote devices., • Exceptional familiarity with distributed backend systems in cloud environments, including databases, caching, and application code., • Proficiency with integrating third-party software and REST APIs, even with challenging documentation or systems., • Proficiency in JavaScript across legacy and modern Chromium browsers., • Proficiency with SQL, data warehousing concepts, query optimization, data streaming, and role-based access control., • Strong algorithmic thinking ability, particularly for developing ad fill optimization strategies., • Ability to rapidly translate high-level product requirements into concrete full-stack prototypes and solutions., • Familiarity with the VAST specification and client-side ad SDKs (e.g., PAL SDK, OM SDK, IMA SDK)., • Familiarity with video streaming/playback technologies (including on-device) and Server-Side Ad Insertion (SSAI). Rockbot is an omnichannel media platform committed to elevating customer and employee experiences while fostering stronger connections in real-world spaces. Rockbot addresses the challenges businesses face in media management with integrated solutions spanning music, TV, digital signage, and advertising. Its mission is to enrich on-premise experiences with media technology, where every interaction is elevated and memorable. From independent local businesses to large national brands - across nearly every industry, including restaurants, bars, retailers, and more- Rockbot provides all the tools and licensed content businesses need. Backed by leading investors including Google and Universal Music Group, Rockbot is the future of out-of-home media. For more information, visit . Compensation: Rockbot takes a market-based approach to pay, and pay may vary depending on your location in the U.S. The successful candidate's starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. These ranges may be modified in the future. The compensation band for this role is $157K - $207K, plus equity and benefits for all team members. Our Values: • Drive: We pursue our mission with relentless tenacity, passion, and optimism and inspire those around us to do the same. We love the journey and are on offense all the time. Yesterday was good enough for yesterday, but today we have to do even better., • Accountability: We take ownership of our promises, responsibilities, behaviors, and products, and we expect the same of others. Standing behind our mistakes, communicating honestly, and making things right creates trust and strong relationships., • Curiosity: We are hungry to learn and continually deepen our knowledge, skills, and understandings. We have a growth mindset and are intellectually curious. We challenge our beliefs and seek feedback and insights from others. The "Why" and "How" always matters., • Empathy: We embrace that no two people or businesses are the same. We strive to understand others as deeply as possible and feel their pains and passions., • Ingenuity: We work hard but we think smart. We bring creativity, technology, and practicality together to solve tough challenges.

Job Description Philo: TV on the Internet (TVoIP) At Philo, we're a group of technology and product people who set out to build the future of television, marrying the best in modern technology with the most compelling medium ever invented — in short, we're building the TV experience that we've always wanted for ourselves. In practice this means leveraging cloud delivery, modern tech stacks, machine learning, and hand-crafted app experiences on all of our platforms. We aim to deliver a rock solid experience on the streaming basics,while creating innovative ways for users to engage with their favorite content and discover that perfect show to watch next. Roku at Philo The Roku team at Philo is responsible for building our product experience on one of the biggest platforms in streaming TV: Roku streaming devices and Roku-enabled smart TVs. Philo's Roku app has been a crucial platform for us since the Philo service first launched – Roku was our first "10-foot" (streaming TV device) platform and is one of our largest platforms by minutes watched. Historically, Roku has also been one of our primary platforms for prototyping nascent Philo features. We're a small autonomous team building apps with high engagement and millions of installs, which collectively are responsible for a huge fraction of the billions of minutes watched on Philo each year. We are passionate about crafting the best possible UX to connect our users with the content they love, providing a seamless viewing experience while surprising them with new features and capabilities. We're highly focused on optimizing the 10-Foot Experience, and you will directly contribute to that effort. By joining the Roku team, you will be working on TV platforms at a TV company (📺📺📺📺👩️‍💻📺📺📺📺), allowing you to make a large impact on Philo product design and development. Recent projects on our Roku platform have included: • Building Philo's next generation TV guide – a heavily virtualized, and highly performant modern take on the classic live TV browsing experience, • Creating new ways to "watch while you browse" with picture-in-picture video and full screen overlays, • Experimenting with autoplaying video and dynamic browsing experiences across collections of show and movie tiles, • Creating a Storybook inspired development environment for our React-like Brightscript UI component library, • Building a platform that allows us to effectively deploy, monitor, and rapidly iterate on experiments, • Utilizing new BrightScript features like classes and types to augment the native language As a Roku Software Engineer, you will be responsible for: • Building the Philo experience on Roku devices, • Running experiments to monitor and analyze the impact of new features, • Contributing to UX design decisions using your domain expertise, • Experience with the Roku platform, including SceneGraph and other Roku APIs, • Familiarity with the Roku ecosystem, including capabilities, limitations, and best practices across devices, • Familiarity with React, Redux concepts, • 4+ years of frontend or UI experience, • 2+ years of Roku development experience, • Experience with GraphQL-based APIs At Philo, we're a company that puts people first—both our subscribers and our team. Our philosophy is to empower our colleagues to do their best work while supporting each other in pursuing shared goals. We value pragmatism, pride in our work, and passion. Transparency and openness are fundamental to our company culture. We are committed to diversity and inclusion as we grow the Philo team and shape the future of TV. We believe that a diverse set of voices and perspectives on our team enables us to innovate faster and create the best experience for our subscribers. Philo offers access to top-rated networks, including AMC, BET, CMT, Comedy Central, Discovery, Food Network, Hallmark, HGTV, History, Investigation Discovery, Lifetime, MTV, Nickelodeon, OWN, VH1, WE tv, and more, along with groundbreaking originals and blockbuster movies included with AMC+. Our service also includes 80+ free channels and premium add-ons like STARZ and MGM+. Our extensive library boasts over 75,000 titles, and our unlimited DVR allows users to save their favorite shows and movies for up to a year, skipping ads for a seamless viewing experience. Stream on up to three devices simultaneously, whether on your phone, tablet, laptop, or TV using Roku, Apple TV, Fire TV, Samsung TV, Android TV, Vizio TV, or Chromecast. Philo is headquartered in San Francisco, with offices in New York and Cambridge, MA. Our leadership team includes a co-founder of Facebook and alums from Meraki and HBO, backed by NEA and industry partners like Discovery, Viacom, AMC, and A&E. Join us at Philo and be part of a team that's shaping the future of TV! Status: Full-time Location: San Francisco, CA, Cambridge, MA, or remote Compensation: Includes annual salary between $135K-$190K depending on experience and location, company stock options, and health benefits We value a diverse and inclusive workplace and we welcome people of different backgrounds, experiences, skills, and perspectives. Philo is an equal opportunity employer. We believe that everyone does their best work when they are supported by each other and the company, and we offer a generous set of benefits to make sure the Philo team is happy and healthy. Here is a sampling of the benefits we offer our team: • Full health, dental and vision coverage for you and your family, • 401(k) plan with employer contributions (we match 100% of deferrals up to 3% of pay and 50% of the next 2% of pay), • Flexible working hours, • Up to 20 weeks of fully paid parental leave, • Unlimited paid time off for vacation and sick leave, • $2,000 annual vacation bonus (we pay you to take a two week vacation), • $5,250 annually for professional development and educational assistance, • $1,250 annual home office + TV stipend during first year of employment ($250 annually thereafter), • $500/month ($6,000/year) bonus for employees who commit to working at least 3 days per week in our offices, plus generous commuter benefits ($315/month towards transit, rideshare, bike rental, or parking at our HQ office in San Francisco), • Free Gympass subscription — an all-in-one corporate benefit that gives employees the largest selection of gyms, studios, classes, training and wellness apps, • Dog-friendly office Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Job Description Who We Are At TwelveLabs, we are pioneering the development of frontier multimodal foundation models that can see, hear and understand the world as humans do. Our models have redefined the standards in video-language modeling, allowing developers to build programs with state-of-the-art semantic search, summarization and analysis capabilities. TwelveLabs has raised $107 million in Seed + Series A funding from world-class VC & corporate partners: NVIDIA, NEA, Radical Ventures, Index Ventures, Snowflake and Databricks. Our advisory team features AI visionaries and founders such as Fei-Fei Li, Silvio Savarese, Alexandr Wang and more. Headquartered in San Francisco, with an influential APAC presence in Seoul, our global footprint underscores our commitment to driving worldwide innovation. About The Role As a Machine Learning Engineer at TwelveLabs, you will drive our ML systems + platform engineering efforts in all facets of our e2e research & engineering workflows. Scaling our training, inference, and evaluation systems — all while improving the reliability of our model deployments / operations / versioning / etc. — is the essence of the role. This role is a perfect fit for senior engineers who get excited by the prospect of advancing the State of the Art in vision-language modeling by perfecting ML systems and infrastructure! In This Role, You Will: * Advance our industry-leading enterprise video solutions by incorporating already-great research into fault tolerant, low latency e2e systems * Scale multimodal AI/ML systems for video understanding * Deliver industry leading applied research solutions to problems like VLM finetuning, auto-labeling of video-text datasets, and model-based filtering of said datasets to optimize (end-)model performance * Build the highest impact, not the flashiest, libraries and services You May Be A Good Fit If You Have: * 2+ years of relevant industry experience * Strong Python coding skills * Experience with modern ML frameworks (i.e. PyTorch, Tensorflow) * Excellent problem-solving skills and attention to detail Strong Candidates May Also Have Experience: * With at least one statically typed language (we use Golang) * Building 0-to-1 mission critical AI/ML applications from scratch * Optimizing model inference (TensorRT, ONNX, Triton Inference Server) * Working with FFmpeg or other high performance image/video processing libraries Interview Process 1. Recruiter Phone Screen, 2. Initial Technical Assessment, 3. Hiring Manager Interview, 4. Onsite Technical Interview [In-Person], 5. Final Interview: Culture Even if there are a few checkboxes that aren’t ticked through your prior experience, we still encourage you to apply! If you are a 0-1 achiever, a ferocious learner, and a kind and fun team player who motivates others, you will find a home at TwelveLabs. We are a global company that values the uniqueness of each person’s journey. It is the differences in our cultural, educational, and life experiences that allow us to constantly challenge the status quo. We are looking for individuals who are motivated by our mission and eager to make an impact as we push the bounds of technology to transform the world. Join us as we revolutionize video understanding and multimodal AI. Benefits and Perks 🤝 An open and inclusive culture and work environment. 🧑️‍💻 Work closely with a collaborative, mission-driven team on cutting-edge AI technology. 🦷 Full health, dental, and vision benefits. ✈️ Flexible PTO and parental leave policy. Office closed the week of Christmas and New Years. 🛂 VISA support (such as H1B and OPT transfer for US employees). Compensation Range: $170K - $280K

Job Description:\n\nHi 👋🏾 I’m Abhik, Ashby's Co-Founder and VP of Engineering. We’re looking for a versatile, persistent product engineer who’s not afraid to set up reusable building blocks across the stack and advocate for the time and space to do so. At Ashby, all our engineers ship features end-to-end at a high pace. Example is the best leadership. We’ll give you the room to do your best work, and you'll be our guide! If that speaks to you, read on. What Ashby gives you in return is the best of both early and growth-stage environments. The agency and no-nonsense of a seed startup: you write product specs, make product and design decisions, and build in an almost-no-meeting culture. While also the product-market fit and scale of a growth-stage startup: tens of thousands of daily users who depend on your software and eagerly await your next feature. We have notable customers like Notion, Linear, Shopify, and Snowflake. Our growth and retention metrics are best-in-class among our peers: we have tens of millions in ARR, growing >100% year over year, very low churn, and many years of runway. We’ll share more details once we meet. You’ve probably seen this role posted before, and it’s because we’re always expanding the team (we’re on track to double this year). We’re bubbling with ideas on how to support Talent Acquisition through software, and we’ve started the journey of building products beyond Talent Acquisition. We read every application and aim to respond to yours within 3-4 days (often sooner). About the Role and How We Work Our engineering culture strives to recreate the environments where we did our best work as ICs – where we had the ownership and agency to impact our users with creative and innovative software. I started my career building software for artists in the Visual Effects industry. It was a formative experience for me as a software engineer because success relied on my ability to be a product manager and designer. I talked to artists to understand their needs. I came up with ideas. I did industry research, designed interfaces, and prototyped ideas. I watched artists use what I built and decided what to tackle in the next iteration. No daily stand-ups, no t-shirt sizing, no planning meetings. I studied computer science to solve problems, not tickets, and this felt exactly like that. I not only felt creative and fulfilled but the agency and ownership we were given as engineers powered an incredible amount of innovation. Innovation came differently (or not at all) at technology startups beyond the seed stage, often through an engineer’s force of will and ability to push back against culture (rather than any encouragement from it). Engineering was narrowed to implementation and delivery, partly due to the influence of other departments and partly due to the influx of "Agile" processes like sprint planning. In those companies, I felt like a JIRA jockey. At Ashby, we’re building an environment that is optimistic about what engineers can own and achieve. An environment that embraces innovative engineers, and, frankly, often stays out of their way. As a Product Engineer, you’ll take ownership over a large portion of one of our products and own projects end-to-end (wearing hats traditionally worn by product and design). You’ll research competitors, write product specs, make wireframes, and more. To ground it with examples, product engineers at Ashby have: Designed and built automated interview scheduling. This feature automates scheduling by calculating possible times from a pool of interviewers and other constraints, and then presenting these times to the candidate for selection via our responsive web app. This solves the “Calendar Tetris” problem I talk about in "What We're Building." Built a generalized declarative filter architecture that allows users to create complex filters for any record with a consistent UI and compile it to SQL in our backend. Many user-facing features use it. Specced, designed, and implemented a feature that allows users to complete signing offers entirely within Ashby. This project involved talking to customers to understand their requirements, deciding what technologies to use, building a prototype, and working with other team members to integrate the final implementation into additional features. What We’re Building As engineers, we are used to tooling that makes us better at what we do. When we started Ashby, we saw the opposite with Talent Acquisition software. Recruiting teams were leveling up how they did their work, but instead of software meeting this new standard, it held them back. Scheduling a final round is an excellent example. Recruiting teams wanted to schedule candidates faster, track interviewer preparation and quality, and do it with half the headcount. A recruiter needed to manually collect availability from the candidate, identify qualified interviewers, perform “Calendar Tetris” to find who is available to interview the candidate, schedule on the earliest date possible, and make any last-minute adjustments as availability changed. They must do this while considering the interview load on each individual and whether interviewers need to be trained and shadowing others. 🥵 TA software didn’t help. As hiring managers, we know TA is a critical function, and as engineers, we know software can do better. So, we built and continue to build Ashby to give TA teams the highest standard of tooling. Software that’s intelligent and powerful. Software that provides insights into where they’re failing and automates or simplifies many of the tasks they’re underwater with. We want other functions and departments to be jealous of what TA teams can do with Ashby, and today they often are! Why You Should or Shouldn’t Apply Software engineers come in many flavors, not all of which fit our model. Here are some things to help you decide if this fits you and what you’re looking for: You’re not afraid to tackle any part of a technology stack. You do what’s necessary to successfully deliver a feature, whether writing frontend or choosing new infrastructure. We’ll provide a supportive environment to do it successfully (e.g., design system, SRE team). You’ve tackled projects with a lot of product and technical ambiguity, and you thrive at the intersection of the two. We’re not building a simple CRUD app, and many of the challenges we tackle require you to use your knowledge of our customers to build powerful abstractions and flexibility in the system to solve a class of problems. You know how to strike the right balance between speed and quality. Ashby wasn’t built quickly. We took four years to launch publicly because convincing customers to switch required a high-quality product. However, time isn’t infinite, especially for a startup, so we still move with urgency—we’ve built the equivalent of three or more VC-backed startups with a very small team. You are ambitious and always looking to improve your skills. For most engineers, this role will give you more freedom and responsibilities than you’ve experienced in the past. To thrive (and level up), you’ll need to be open to feedback (and we give lots of it). You’re an excellent collaborator and communicator. Ownership and freedom don’t mean you work in a vacuum. You’ll need to vet your decisions with the appropriate stakeholders, keep them up to date when necessary, and work with other engineers to get your projects across the finish line. Clear and concise communication helps a lot here! You seek to create leverage in your work. The nature of software is that you can often automate or abstract what would be tedious, time-consuming work. Your impatience usually leads to new abstractions, tools to allow Support to debug before Engineering, new lint rules to prevent common bugs, etc. Put another way, you shouldn’t apply if: To you, a tech lead, staff, or principal engineer is someone who spends most of their time project managing or doing architecture reviews. Our most tenured engineers spend most of their time building, and we often trust them with our most challenging problems. While they lead product and technical areas and help other engineers plan their most challenging work, it’s not a requirement, nor do engineers need their sign-off. You need company-driven process and structure to get your projects across the finish line. Sprint planning and well-defined project management processes are things you need or look to others to lead. You’d rather focus on the technical details and challenges. You only want to do exciting work. We’re building a team of kind, collaborative folks. Customer issues and investigations are distributed across the team, including our high-level ICs. You can get lost in the details. Once you start implementation, it can be hard to take a step back and think about the project as a whole. You like everything to be planned upfront. You haven’t led or taken ownership of projects before. You’re used to working with tech leads and taking on tasks distributed by them. You want to mentor earlier-career engineers. We rely on engineers owning their projects, so we need engineers with that experience. This requires the team to be reasonably tenured. More than 90% of the team would be considered Senior or above in the industry today, so mentorship opportunities are very limited. Engineering Culture Our engineering culture is motivated by Benji’s (my Co-founder and CEO) and my belief that a small, talented team, given the right environment, can build high-quality software fast (and work regular hours!). We do it through: Minimal process with ownership over decisions normally made by product and design Natural collaboration and deliberate communication Investing in tools and abstractions that give us leverage Putting effort into building a diverse team Minimal Process & Lots of Ownership The best engineers we’ve worked with delivered reliably magical outcomes. They took customer problems and relentlessly drove them to solutions that were not only successful but often brilliant and creative. While they did this with minimal oversight, stakeholders were never in the dark as to what was going on, and no setback was a surprise. Traditional product-development processes aren’t meant for the best engineers. Their purpose is to create consistent outcomes regardless of the engineer’s skill. But, consistency comes at the expense of an engineer’s time and freedom—both ingredients necessary to generate those magical outcomes. As a result, process stifles the best engineers and doesn’t give others the opportunity to practice the behaviors that made the best engineers the “best.” At Ashby, we want to build an environment that encourages every engineer to be their best. So, at Ashby, every Engineer runs their project. Product Managers (and Designers) build strategy, do customer research, and hand off problem briefs to Engineers. Engineers take on the rest: they research the problem, write product specs, build wireframes, and implement their solution end-to-end. We rely on engineers, not process, to push information outward to the relevant folks (e.g., Product Managers) and pull folks in to help (e.g., Designers, Infra). It’s a new level of ownership for many engineers, but we’d rather an engineer fail a bit and coach up their skills than use process as a crutch. Not everyone succeeds in our culture, but those who do thrive. Collaboration is Natural & Communication is Deliberate Our engineering team consists of lifelong learners who are talented but also humble and kind (meet them here!). These attributes create an environment where collaboration happens naturally. We combine this with research, prototyping, and written proposals to see around corners and get feedback from the team across time zones. Focus time is something that we hold sacred, and, with thoughtful and deliberate communication, engineers are in <2h meetings per week (I wrote about it here). To drive it home, here's a recent calendar of an engineer who has been with us for over 4 years: We also meet in person at least twice a year, once as a department and once as a company. You also have a small budget to meet up with folks in your city/region. Increase Leverage, not Team Size We built Ashby with the quality, breadth, and depth that many customers would expect from much larger teams over larger time scales. We’ve done this through investment in: Great developer tooling. Our CI/CD takes ~10m, and we deploy at least 15x a day. A debugger that works out of the box. Everyone on the team has contributed to our developer experience 💪🏾. Building blocks to create powerful and customizable products fast. At the core of Ashby is a set of common components (analytics modeling and query language, policy engine, workflow engine, design system) that we constantly improve. Each improvement to a common component cascades throughout our app (short video below). Here’s an impromptu quote from Arjun in our company Slack of what it’s like to build a feature at Ashby: And a demo of one of these building blocks: Put Effort into Diversity Diverse teams drive innovation and better outcomes. Having seen my mother and partner build their careers as minority women in non-diverse fields, I want to make sure Ashby creates opportunities for the next generation of engineers from underrepresented groups. Today, 21% of engineers at Ashby are from underrepresented groups. It’s not great, and we are taking conscious steps to improve, like sourcing diverse candidates, providing generous paid family leave, no leetcode interviews, and more. Interview Process At Ashby, our team and interview process want to help you show your best self. We’ll dive into past projects and simulate working together via pair programming, writing product and tech specs collaboratively, and talking through decisions. There are no leetcode or whiteboard exercises. Our interview process is three rounds: Introduction call with Hiring Manager (15 to 30m, live) A technical screen where we pair in our actual codebase (1h, live) Three non-coding interviews that focus on product thinking, technical design, and infrastructure (3h 15m, live can be split across multiple days) Depending on our leadership team’s bandwidth, we may start with an additional 30m screen with a recruiter. Your hiring manager will be your main point of contact and prep you for interviews. Each round will have written guidance so you know what to expect (you’ll need minimal preparation). You’ll meet 4 to 6 people in engineering (with 5-15 minutes in each interview to ask them questions). If we don’t give an offer, we’ll provide feedback! Your First Three Months at Ashby We want an exceptional onboarding experience for every new hire. At Ashby, your dev environment is set up with a single script, you push your first product change on day one, and you spend the rest of your time shipping product changes that give you a tour of our codebase and best practices.

Job DescriptionWho We Are: At TwelveLabs, we are pioneering the development of cutting-edge multimodal foundation models that have the ability to comprehend videos just like humans do. Our models have redefined the standards in video-language modeling, empowering us with more intuitive and far-reaching capabilities, and fundamentally transforming the way we interact with and analyze various forms of media. With a remarkable $107 million in Seed and Series A funding, our company is backed by top-tier venture capital firms such as NVIDIA’s NVentures, NEA, Radical Ventures, and Index Ventures, and prominent AI visionaries and founders such as Fei-Fei Li, Silvio Savarese, Alexandr Wang, and more. Headquartered in San Francisco, with an influential APAC presence in Seoul, our global footprint underscores our commitment to driving worldwide innovation. We are a global company that values the uniqueness of each person’s journey. It is the differences in our cultural, educational, and life experiences that allow us to constantly challenge the status quo. We are looking for individuals who are motivated by our mission and eager to make an impact as we push the bounds of technology to transform the world. Join us as we revolutionize video understanding and multimodal AI. About the Role As a Frontend Software Engineer on the Product Engineering team, your focus will be on building and refining the user interfaces that interact with the AI video models. You’d be working with tools like React, Next.js, and TypeScript to create responsive, high-performing frontends. You'll also be collaborating closely with product managers, designers, and other engineers to make sure the user experience is seamless and intuitive. We are looking for engineers with startup experience, who're comfortable navigating fast-paced environments and adapting quickly. If you're familiar with working across the stack, it's a bonus. While this is a hybrid role based at our San Francisco headquarters, remote work is available for candidates currently residing in California or Washington State. Please note that remote employees will need to travel to the office for team meetups or other events as needed. In this role, you will * Oversee the design, development, and maintenance of responsive and high-performance frontend systems utilizing modern frameworks such as React, Next.js. * Collaborate closely with not only software engineers but also PMs, designers, researchers to implement user-centric design solutions that complement and enhance our evolving video understanding models. * Ensure adherence to coding standards, best practices, and optimization techniques, delivering high-quality, performant, and adaptable frontend systems in the dynamic landscape of AI innovation. * Collaborate closely with AI engineers, data scientists, and other stakeholders to seamlessly integrate frontend components and maintain an intuitive user experience for our AI models. You may be a good fit if you have: * Startup Experience: Five+ years of experience thriving in a fast-paced startup environment, showcasing adaptability, resilience, and a proactive approach to frontend engineering challenges. * Technical Expertise: Extensive experience in frontend development (Minimum of 7 years), demonstrating proficiency in frameworks and technologies like React, Next.js, react-query, Typescript * Agile Mindset: Strong analytical and problem-solving skills, with the ability to swiftly adapt to changing priorities and innovate solutions within the dynamic realm of AI technology. * Communication & Collaboration: Exceptional communication skills, capable of articulating technical concepts to non-technical stakeholders and collaborating effectively within a cross-disciplinary team in an AI startup environment. Desired experience: * Comfortable using CSS Frameworks like Tailwind & Component Libraries like Material UI to build Responsive Websites * Familiarity with popular design tools like Figma & working with an in-house design team * Unit Testing with popular open-source tools like jest, react-testing-library * Familiarity with REST and API design * Prior Work Experience in Enterprise level products * Understanding of SDLC & familiarity with frontend Infrastructure like ci/cd, build tooling, caching & optimization etc Even if there are a few checkboxes that aren’t ticked through your prior experience, we still encourage you to apply! If you are a 0-1 achiever, a ferocious learner, and a kind and fun team player who motivates others, you will find a home at TwelveLabs. We are a global company that values the uniqueness of each person’s journey. It is the differences in our cultural, educational, and life experiences that allow us to constantly challenge the status quo. We are looking for individuals who are motivated by our mission and eager to make an impact as we push the bounds of technology to transform the world. Join us as we revolutionize video understanding and multimodal AI. Benefits and Perks 🤝 An open and inclusive culture and work environment. 🧑️‍💻 Work closely with a collaborative, mission-driven team on cutting-edge AI technology. 🦷 Full health, dental, and vision benefits. ✈️ Flexible PTO and parental leave policy. Office closed the week of Christmas and New Years. 🛂 VISA support (such as H1B and OPT transfer for US employees). Compensation Range: $150K - $170K

Job DescriptionWho We Are: At TwelveLabs, we are pioneering the development of cutting-edge multimodal foundation models that have the ability to comprehend videos just like humans do. Our models have redefined the standards in video-language modeling, empowering us with more intuitive and far-reaching capabilities, and fundamentally transforming the way we interact with and analyze various forms of media. With a remarkable $107 million in Seed and Series A funding, our company is backed by top-tier venture capital firms such as NVIDIA’s NVentures, NEA, Radical Ventures, and Index Ventures, and prominent AI visionaries and founders such as Fei-Fei Li, Silvio Savarese, Alexandr Wang, and more. Headquartered in San Francisco, with an influential APAC presence in Seoul, our global footprint underscores our commitment to driving worldwide innovation. We are a global company that values the uniqueness of each person’s journey. It is the differences in our cultural, educational, and life experiences that allow us to constantly challenge the status quo. We are looking for individuals who are motivated by our mission and eager to make an impact as we push the bounds of technology to transform the world. Join us as we revolutionize video understanding and multimodal AI. About the Role As a Frontend Software Engineer on the Product Engineering team, your focus will be on building and refining the user interfaces that interact with the AI video models. You’d be working with tools like React, Next.js, and TypeScript to create responsive, high-performing frontends. You'll also be collaborating closely with product managers, designers, and other engineers to make sure the user experience is seamless and intuitive. We are looking for engineers with startup experience, who're comfortable navigating fast-paced environments and adapting quickly. If you're familiar with working across the stack, it's a bonus. While this is a hybrid role based at our San Francisco headquarters, remote work is available for candidates currently residing in California or Washington State. Please note that remote employees will need to travel to the office for team meetups or other events as needed. In this role, you will * Oversee the design, development, and maintenance of responsive and high-performance frontend systems utilizing modern frameworks such as React, Next.js. * Collaborate closely with not only software engineers but also PMs, designers, researchers to implement user-centric design solutions that complement and enhance our evolving video understanding models. * Ensure adherence to coding standards, best practices, and optimization techniques, delivering high-quality, performant, and adaptable frontend systems in the dynamic landscape of AI innovation. * Collaborate closely with AI engineers, data scientists, and other stakeholders to seamlessly integrate frontend components and maintain an intuitive user experience for our AI models. You may be a good fit if you have: * Startup Experience: Ten+ years of experience thriving in a fast-paced startup environment, showcasing adaptability, resilience, and a proactive approach to frontend engineering challenges. * Technical Expertise: Extensive experience in frontend development (Minimum of 10 years), demonstrating proficiency in frameworks and technologies like React, Next.js, react-query, Typescript * Agile Mindset: Strong analytical and problem-solving skills, with the ability to swiftly adapt to changing priorities and innovate solutions within the dynamic realm of AI technology. * Communication & Collaboration: Exceptional communication skills, capable of articulating technical concepts to non-technical stakeholders and collaborating effectively within a cross-disciplinary team in an AI startup environment. Desired experience: * Comfortable using CSS Frameworks like Tailwind & Component Libraries like Material UI to build Responsive Websites * Familiarity with popular design tools like Figma & working with an in-house design team * Unit Testing with popular open-source tools like jest, react-testing-library * Familiarity with REST and API design * Prior Work Experience in Enterprise level products * Understanding of SDLC & familiarity with frontend Infrastructure like ci/cd, build tooling, caching & optimization etc Even if there are a few checkboxes that aren’t ticked through your prior experience, we still encourage you to apply! If you are a 0-1 achiever, a ferocious learner, and a kind and fun team player who motivates others, you will find a home at TwelveLabs. We are a global company that values the uniqueness of each person’s journey. It is the differences in our cultural, educational, and life experiences that allow us to constantly challenge the status quo. We are looking for individuals who are motivated by our mission and eager to make an impact as we push the bounds of technology to transform the world. Join us as we revolutionize video understanding and multimodal AI. Benefits and Perks 🤝 An open and inclusive culture and work environment. 🧑️‍💻 Work closely with a collaborative, mission-driven team on cutting-edge AI technology. 🦷 Full health, dental, and vision benefits. ✈️ Flexible PTO and parental leave policy. Office closed the week of Christmas and New Years. 🛂 VISA support (such as H1B and OPT transfer for US employees). Compensation Range: $170K - $190K

Job Description Generalist Software Engineer About Us Here at Spellbrush, we're passionate about making a good anime game. We also happen to be the world's leading generative AI studio — we're the team behind niji・journey. We are currently investigating how AI can be used to help human artists perform masterpieces in the most complex medium of our times: videogames. Our games are characterized by a no-compromise approach to well-balanced gameplay married to a truthful love of visual arts. If you love turn-based tactics games, please consider applying! About The Role As Spellbrush continues to grow rapidly, we're seeking talented generalist engineers to join our team and help us build advanced data pipelines, foundational datasets, as well as the tools and infrastructure that support them. If the thought of running a batch job across ten-thousand GPUs to ingest petabytes worth of anime image and videos excites you, this is the job for you! What You'll Achieve You'll define the processes and infrastructure to transform and make data readily available across the company, whether it be embeddings, video, bounding boxes, or more. You'll partner with our world class AI researchers to understand their needs, and then design, build and monitor pipelines that meet today's requirements but can gracefully scale with our growing data size. Skills You'll Need To Bring You are a self-starter and can work directly with the research team to gather and synthesize high-impact needs from teammates, designing and implementing the appropriate technical solutions, and effectively communicating about deliverables, timelines and tradeoffs. You've spent 3+ years as software engineer, with a wide generalist skillset. You’ve worked with distributed systems, and previously administered a big data toolset (Ray, Spark, Airflow, etc.). You have hands-on experience shipping scalable data solutions in the cloud (e.g AWS, GCP, Azure, etc.), across multiple data stores (e.g Snowflake, Redshift, Hive, SQL/NoSQL, etc.). You’re comfortable pulling data from whatever source it may be in, whether that involves writing a complex SQL query to pull a billion rows out of a Bigquery Database, or coordinating the transfer of 10+ PB of data across two S3 regions. You are highly comfortable with scripting, whether in Typescript, Python, or even Bash when the need arises. Most importantly, you know when to pull in the complex overengineered tools, and when to instead rely on duct tape. You may be a good fit if: You have hands-on experience in designing and building highly scalable and reliable data pipelines Building data pipelines for AI presents itself with unique challenges. If you’ve previously built large scale big data pipelines, you’d be a good fit. You’re interested in learning and interfacing with AI researchers You’ll interface with some of the best AI researchers in the world, meaning that you’ll get to learn from the best. Your code will frequently need to ingest values and embeddings from our state-of-the-art models, and we’ll help you get up to speed here. You love anime and the anime aesthetic As a member of our team, you'll have the opportunity to push the boundaries of what's possible in the anime and video game industry. Ideally you're a fan of the genre. You're comfortable working on small, fast-paced teams Our engineering team is small but mighty. You'll be working directly with some of the best AI researchers and engineers in the world to integrate their state-of-the-art models into your beautiful interfaces. We also believe in the unmatched speed of in-person teams, and prefer on-site collaboration in either our primary research office in Tokyo (downtown Akihabara) or San Francisco. Visa sponsorships are available.

Job Description Our 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. At our firm, we believe the most impactful safety research will require access to frontier AI systems. The most powerful AIs will operate not just on text but also other modes of data, including images, video and audio. Such models have potential to augment human creativity and productivity in exciting ways. However, we are very concerned about the risks introduced by powerful multimodal AIs. The Multimodal team builds and studies multimodal models to better understand and mitigate these risks. Our team works across many parts of a large stack that includes training, inference, system design and data collection. Some of our core focus areas are: Foundational Research We develop new architectures for modeling multimodal data and study how they interact with text-only models at scale. Building Infrastructure We work on many infrastructure projects including: • Complex multimodal reinforcement learning environments., • High-performance RPC servers for processing image inputs., • Sandboxing infrastructure for securely collecting data. Data Ingestion We are more interested in running simple experiments at large scale than smaller complex experiments. This requires access to very large sources of multimodal data. We develop tooling to collect, process and clean multimodal data at scale. Because we focus on so many areas, the team is looking to work with both experienced engineers and strong researchers, and encourage anyone along the researcher/engineer curve to apply. You may be a good fit if you: • Have significant software engineering experience, • Are results-oriented, with a bias towards flexibility and impact, • Pick up slack, even if it goes outside your job description, • Enjoy pair programming (we love to pair!), • Want to learn more about machine learning research, • Care about the societal impacts of your work Strong candidates may also have experience with: • High performance, large-scale ML systems, • GPUs, Kubernetes, PyTorch, or OS internals, • Language modeling with transformers, • Reinforcement learning, • Large-scale ETL The expected salary range for this position is: Annual Salary: $230,000—$400,000 USD Logistics 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. Compensation and Benefits* Our compensation package consists of three elements: salary, equity, and benefits. We are committed to pay fairness and aim for these three elements collectively to be highly competitive with market rates. Equity - For eligible roles, equity will be a major component of the total compensation. We aim to offer higher-than-average equity compensation for a company of our size, and communicate equity amounts at the time of offer issuance. US Benefits - The following benefits are for our US-based employees: • Optional equity donation matching., • Comprehensive health, dental, and vision insurance for you and all your dependents., • 401(k) plan with 4% matching., • 22 weeks of paid parental leave., • Unlimited PTO – most staff take between 4-6 weeks each year, sometimes more!, • Stipends for education, home office improvements, commuting, and wellness., • Fertility benefits via Carrot., • Daily lunches and snacks in our office., • Relocation support for those moving to the Bay Area., • This compensation and benefits information is based on our good faith estimate for this position as of the date of publication and may be modified in the future. Employees based outside of the US will receive a different benefits package. The level of pay within the range will depend on a variety of job-related factors, including where you place on our internal performance ladders, which is based on factors including past work experience, relevant education, and performance on our interviews or in a work trial. How we're different We believe that the highest-impact AI research will be big science. At our firm, 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 joining our firm, 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! We are 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.

Job Description Who We Are At TwelveLabs, we are pioneering the development of cutting-edge multimodal foundation models that have the ability to comprehend videos just like humans do. Our models have redefined the standards in video-language modeling, empowering us with more intuitive and far-reaching capabilities, and fundamentally transforming the way we interact with and analyze various forms of media. With a remarkable $107 million in Seed and Series A funding, our company is backed by top-tier venture capital firms such as NVIDIA’s NVentures, NEA, Radical Ventures, and Index Ventures, and prominent AI visionaries and founders such as Fei-Fei Li, Silvio Savarese, Alexandr Wang, and more. Headquartered in San Francisco, with an influential APAC presence in Seoul, our global footprint underscores our commitment to driving worldwide innovation. We are a global company that values the uniqueness of each person’s journey. It is the differences in our cultural, educational, and life experiences that allow us to constantly challenge the status quo. We are looking for individuals who are motivated by our mission and eager to make an impact as we push the bounds of technology to transform the world. Join us as we revolutionize video understanding and multimodal AI. About the Role We’re looking for a Staff Infrastructure Engineer to join our Government pod. You will design, build and operate a secure and scalable foundation for our multimodal models and indexing platform end-to-end in GovCloud or fully air-gapped environments. You will automate with Terraform, establish CI/CD & software-supply-chain controls, and deliver robust observability and incident response. As part of our Government pod, you'll help deliver state of the art TwelveLabs’ models and products for U.S. public-sector customers. You will ensure that our platform works in highly regulated GovCloud or air-gapped environments. The work blends deep engineering with security and compliance designing to the FedRAMP and DoD SRG Impact Levels. You’ll build for constrained networks & hardware, rigorous supply-chain practices, and high-reliability operations. This role is only eligible for US citizens; prior top-secret clearance is a plus though not required. In this role, you will * Design, build, and operate the inference, indexing and search infrastructure for our multi-modal foundation models and platform in GovCloud and on-premise or air-gapped environments for public sector customers. * Automate and scale deployments using Infrastructure as Code (IaC) with Terraform and Ansible; produce repeatable, hardened environments. * Optimize for security, compliance, and efficiency with advanced monitoring and security frameworks. * Stand up observability (metrics, logs, traces) with clear Service Level Objectives (SLOs) and actionable alerting; own incident response playbooks and post-incident reviews. * Build air-gapped delivery pipelines—Continuous Integration/Continuous Delivery (CI/CD), patching, and update workflows—with signed artifacts and Software Bills of Materials (SBOMs) for software-supply-chain integrity. You may be a good fit if you have: * 10+ years of experience as an infrastructure engineer. * Experience building and operating infrastructure in cloud environments such as AWS, GCP, and Azure. * Hands-on experience building infrastructure for GovCloud or air-gapped environments. * Hands-on experience with IaC (Infrastructure as Code) tools such as Terraform or Ansible. * Experience operating container-based workloads with Kubernetes. * Scripting and automation experience with languages such as Python, Go, or TypeScript. * Experience designing and operating CI/CD pipelines. * Experience designing infrastructure architectures aligned with security and compliance standards, including audit support. Preferred Qualifications: * Active Government Security Clearance * Experience building advanced monitoring and logging systems. * Proven ability to operate infrastructure optimized for both performance and cost efficiency. Even if there are a few checkboxes that aren’t ticked through your prior experience, we still encourage you to apply! If you are a 0-1 achiever, a ferocious learner, and a kind and fun team player who motivates others, you will find a home at TwelveLabs. We are a global company that values the uniqueness of each person’s journey. It is the differences in our cultural, educational, and life experiences that allow us to constantly challenge the status quo. We are looking for individuals who are motivated by our mission and eager to make an impact as we push the bounds of technology to transform the world. Join us as we revolutionize video understanding and multimodal AI. Benefits and Perks 🤝 An open and inclusive culture and work environment. 🧑️‍💻 Work closely with a collaborative, mission-driven team on cutting-edge AI technology. 🦷 Full health, dental, and vision benefits. ✈️ Flexible PTO and parental leave policy. Office closed the week of Christmas and New Years. 🛂 VISA support (such as H1B and OPT transfer for US employees).

Job Description About this role What we're looking for? We're looking for an experienced Backend Software Engineer with 3+ years. You should have a proven track record of building high-performance, scalable backend systems and thrive in a fast-paced startup environment. Bonus points if you have prior experience in generative AI, video technology, or consumer-facing products. What you'll do: Design and develop scalable backend systems that power the creative engine behind GTV. Partner with researchers, engineers, and designers to develop new product features and APIs. Build core infrastructure for custom models, agentic workflows, and reinforcement learning loops. Drive reliability and efficiency of distributed systems with automated testing, performance benchmarking, and end-to-end observability. 3 - 5 years of experience in backend software engineering (can include internships) with at least one marker of excellence Salary $200K - $250K Equity 1-2% Visa sponsorship is not available On-site work policy In-person in SF (great office in SOMA). Full-time position

Job DescriptionGTM Engineer (Full-Stack) | naptha.ai About this role Naptha AI is seeking a talented Go-to-Market Engineer with full-stack development skills to join our innovative AI startup. In this role, you'll design and build technical experiments that showcase our cutting-edge AI technology to developers. Working directly with our founding team, you'll create demo applications, integrations, interactive landing pages, and developer onboarding experiences. This position is perfect for engineers who combine strong technical abilities with growth mindset and want to make an immediate impact in a fast-paced environment. * Design and build technical GTM experiments including demo apps, integrations, and interactive landing pages * Work directly with the founders on small bet initiatives from idea to shipped product * Integrate our AI technology into real-world use cases and showcase its value to developers * Spin up mini tools, plugins, or prototypes to test positioning, features, or distribution channels * Implement lightweight analytics to measure outcomes and iterate quickly * Collaborate with backend engineers and product to ensure velocity and alignment * Engage with early adopters (mostly developers) to gather feedback, unblock them, and learn what sticks Why Join Us * Shape how our product gets into the hands of developers and how it evolves with them * Work directly with the founding team in a no-red-tape environment * Own projects end-to-end, from idea to implementation to impact * Be one of the first hires in a company built on technical excellence and fast iteration In this role, you’re a good fit if you have: * 3–6 years of experience as a full-stack engineer, ideally in early-stage startups * Strong front-end skills (React, Next.js or similar) and backend familiarity (Node, Python, etc.) * Experience working with APIs, SDKs, or developer tooling is a big plus * Ability to build and ship fast — even if it's scrappy, prioritizing learnings over perfect code * Comfort jumping on calls with users, writing docs, or implementing quick fixes in production * Bonus: Experience with AI/ML APIs, SDKs, or infrastructure tools * Bonus: Experience in growth engineering, developer advocacy, or building for developers * Bonus: Experience working in an environment driven by experimentation and iteration About the hiring process * Video interview with hiring manager * Take-home project * Presentation of take-home project to panel * Interview with co-founders Compensation & Benefits * Highly competitive salary and significant equity stake * Role and compensation scaled to your experience * Remote-first work environment * Full medical, dental, and vision coverage * Flexible PTO policy * Learning and conference budget We're looking for software engineers with a product and growth mindset who are excited about rapidly testing ideas, gathering feedback, and iterating on product experiences. If you thrive in fast-paced startup environments, enjoy full-stack development with React and Node.js, and are passionate about creating developer tools and AI applications, we want to talk to you. Keywords: Full-Stack Engineer, Frontend Developer, React Developer, Next.js, Node.js, Python, JavaScript, Growth Engineer, Developer Experience, AI, Machine Learning, Startup, GTM, Go-to-Market, Developer Tools, SDK, API Integration, Product Development

Job Description Hi 👋🏾, I’m Abhik, Ashby’s Co-Founder and VP of Engineering. We’re looking for a great (former) engineer who built impressive products and now builds teams of great engineers. Ashby’s success and ambition mean we’re doubling the Engineering team in the next year, and we need your experience and leadership to do it thoughtfully. Our product and growth are exceptional. Ashby All-in-One is powerful, easy to use, and replaces several venture-backed companies' worth of products (often with a better experience). We have notable customers like Notion, Linear, Shopify, and Snowflake. Our growth and retention metrics are best-in-class among our peers: we have tens of millions in ARR, growing >100% year over year, very low churn, and many years of runway. A big part of our secret sauce is how we run Engineering. We achieve incredible speed and quality by discarding many industry norms and being optimistic about Engineers. We consider what makes exceptional Engineers exceptional, figure out how to hire them, and build an environment that gives them the freedom and agency to actually be exceptional. In other words, if engineers writing product specs, making product decisions, and not breaking down projects into individual tickets excites you, you’ve found the right place. As an Engineering Manager, you’ll work closely with me, Colin, and your peers to build out the team and continue scaling this unique culture. You’ll first do that through grassroots leadership. You’ll manage three to five Engineers and hire three to five more. They’ll cover multiple teams and a variety of specializations, from Product Engineers to Site Reliability Engineers to Design Engineers. Your day-to-day will include: * Providing feedback on product and technical specs to help engineers identify where to cut scope or improve quality. You don’t make the final decisions, but you’ll influence and coach ICs to reach the right ones. * Grow engineers to the point where they can take large, loosely defined projects and deliver them with little intervention. * Jump into our systems and code to debug a customer issue, ship a small bug fix, or improve our developer experience. Engineering leaders at Ashby are great engineers and enjoy keeping their skills up-to-date (while staying off the critical path). You’ll also propose and lead department and company-wide initiatives. Some examples: * Rethink how we (and the industry) do pull request reviews by aligning on goals with the team, sampling a set of PRs to understand how effective they are, and writing a proposal to the team about what we could change to speed up reviews while giving reviewers the time and space to give useful feedback. * Design and improve interviews based on candidate and team feedback. We pride ourselves on thoughtful interviews that simulate actually working with us! * Improve how we generate and simulate data in demo accounts. It’s a project off the critical path, but it helps you keep up-to-date on our codebase while immensely impacting the business, from Engineering to QA to Sales. I’ll share more details once we meet. What We’re Building As engineers, we are used to tooling that makes us better at what we do. When we started Ashby, we saw the opposite with Talent Acquisition software. Recruiting teams were leveling up how they did their work, but instead of software meeting this new standard, it held them back. Scheduling a final round is an excellent example. Recruiting teams wanted to schedule candidates faster, track interviewer preparation and quality, and do it with half the headcount. A recruiter needed to manually collect availability from the candidate, identify qualified interviewers, perform “Calendar Tetris” to find who is available to interview the candidate, schedule on the earliest date possible, and make any last-minute adjustments as availability changed. They must do this while considering the interview load on each individual and whether interviewers need to be trained and shadowing others. 🥵 TA software didn’t help. As hiring managers, we know TA is a critical function, and as engineers, we know software can do better. So, we built and continue to build Ashby to give TA teams the highest standard of tooling. Software that’s intelligent and powerful. Software that provides insights into where they’re failing and automates or simplifies many of the tasks they’re underwater with. We want other functions and departments to be jealous of what TA teams can do with Ashby, and today they often are! Why You Shouldn’t Apply * You don’t enjoy coding or don’t find time to stay up-to-date on technology. We believe great leaders are folks who were great engineers themselves. That starts with loving the craft and never giving it up. * You follow the rules and accept the hand you’ve been dealt. We want folks with the ambition, courage, and follow-through to change things, whether it’s within their own team or across departments. * You went into management because it was the only growth path available. We want folks who could have been Principal engineers (or were one!). * You're happy with a team of engineers who are predominantly early-career or mid-career or don't thrive with ownership or autonomy. You believe that with enough guardrails, the team can get things done. * To you, a Staff or Principal Engineer is someone who spends most of their time project managing or conducting architecture reviews. You don’t believe staff and principal engineers could lead by the example they set or the leverage they create through their work. * You’re not optimistic or convinced that we can build a large engineering team that functions differently from the status quo. You think, at some size, common processes need to be implemented to ensure consistent product delivery (e.g., sprint planning, product managers writing in-depth specifications). You might not say it out loud, but you think, at some size, compromises have to be made for the sake of hiring numbers or consistency. Engineering Culture Our engineering culture is motivated by Benji’s (my Co-founder and CEO) and my belief that a small, talented team, given the right environment, can build high-quality software fast (and work regular hours!). We do it through: * Minimal process with ownership over decisions normally made by product and design * Natural collaboration and deliberate communication * Investing in tools and abstractions that give us leverage * Putting effort into building a diverse team You’ll be an important part of figuring out how to scale these methods from 50 engineers to 100 and beyond. Minimal Process & Lots of Ownership The best engineers we’ve worked with delivered reliably magical outcomes. They took customer problems and relentlessly drove them to solutions that were not only successful but often brilliant and creative. While they did this with minimal oversight, stakeholders were never in the dark as to what was going on, and no setback was a surprise. Traditional product-development processes aren’t meant for the best engineers. Their purpose is to create consistent outcomes regardless of the engineer’s skill. But, consistency comes at the expense of an engineer’s time and freedom—both ingredients necessary to generate those magical outcomes. As a result, process stifles the best engineers and doesn’t give others the opportunity to practice the behaviors that made the best engineers the “best.” At Ashby, we want to build an environment that encourages every engineer to be their best. So, at Ashby, every Engineer runs their project. Product Managers (and Designers) build strategy, do customer research, and hand off problem briefs to Engineers. Engineers take on the rest: they research the problem, write product specs, build wireframes, and implement their solution end-to-end. We rely on engineers, not process, to push information outward to the relevant folks (e.g., Product Managers) and pull folks in to help (e.g., Designers, Infra). It’s a new level of ownership for many engineers, but we’d rather an engineer fail a bit and coach up their skills than use process as a crutch. Not everyone succeeds in our culture, but those who do thrive. Collaboration is Natural & Communication is Deliberate Our engineering team consists of lifelong learners who are talented but also humble and kind (meet them here!). These attributes create an environment where collaboration happens naturally. We combine this with research, prototyping, and written proposals to see around corners and get feedback from the team across time zones. Focus time is something that we hold sacred, and, with thoughtful and deliberate communication, engineers are in <2h meetings per week (I wrote about it here). To drive it home, here's a recent calendar of an engineer who has been with us for over 4 years: We also meet in person at least twice a year, once as a department and once as a company. You also have a small budget to meet up with folks in your city/region. Increase Leverage, not Team Size We built Ashby with the quality, breadth, and depth that many customers would expect from much larger teams over larger time scales. We’ve done this through investment in: * Great developer tooling. Our CI/CD takes ~10m, and we deploy at least 15x a day. A debugger that works out of the box. Everyone on the team has contributed to our developer experience 💪🏾. * Building blocks to create powerful and customizable products fast. At the core of Ashby is a set of common components (analytics modeling and query language, policy engine, workflow engine, design system) that we constantly improve. Each improvement to a common component cascades throughout our app (short video below). Here’s an impromptu quote from Arjun in our company Slack of what it’s like to build a feature at Ashby: And a demo of one of these building blocks: Put Effort into Diversity Diverse teams drive innovation and better outcomes. Having seen my mother and partner build their careers as minority women in non-diverse fields, I want to make sure Ashby creates opportunities for the next generation of engineers from underrepresented groups. Today, 21% of engineers at Ashby are from underrepresented groups. It’s not great, and we are taking conscious steps to improve, like sourcing diverse candidates, providing generous paid family leave, no leetcode interviews, and more. Interview Process This is an important role and our interview process reflects that both in challenge and length (5h 15m): * Introduction call with me (30m, live) * A technical screen where we pair in our actual codebase (1h, live) * An interview to explore your past experience as a leader (1h, live) * Interview with Colin, our Head of EMEA Engineering (45m, live) * Interview with Benji, our CEO (30m, live) * Final round where you meet Engineers and other Engineering Managers (90m, live) Depending on my bandwidth, we may start with an additional 30m screen with a recruiter. Near the end of the process, we’ll do reference checks. This is also an important decision for you, so I’m always happy to have coffee chats in person or over Zoom to get to know each other. If we don’t move forward, we’re happy to share feedback. Your First Six Months at Ashby Your first three months at Ashby will be spent learning about Ashby Engineering and easing into leadership. While most of your onboarding will be driven by a 6-month plan you put together (and refine over time), you’ll also ship some product changes and features. What better way to learn how ICs work than to be one! Don’t worry if you don’t know our technologies. The team is really helpful and our dev environment is pretty awesome: it sets up in a single script and you’ll be able to push your first product change on day one. You and I will do 30-day, 60-day, 90-day, and 6-month reviews to calibrate on our unique culture and how you, I, and the team will work together. Benefits * Competitive salary and equity. * 10-year exercise window for stock options. You shouldn’t feel pressure to purchase stock options if you leave Ashby —do it when you feel financially comfortable. * Unlimited PTO. * A minimum of 12 weeks of fully paid parental leave, covered by Ashby. For folks outside the US, it may be longer to be in line with regional requirements. * Generous equipment, software, and office furniture budget. Get what you need to be happy and productive! * $100/month education budget with more expensive items (like conferences) covered with manager approval. * If you’re in the US, we offer top-tier health insurance for you and your dependents, with 100% of premiums covered by Ashby. In other countries, we provide high-quality supplemental health insurance for you and your dependents, also fully covered by us. Ashby’s success hinges on hiring great people and creating an environment where we can be happy, feel challenged, and do our best work. We’re being deliberate about building that environment from the ground up. I hope that excites you enough to apply. Ashby provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity, or gender expression. We are committed to a diverse and inclusive workforce and welcome people from all backgrounds, experiences, perspectives, and abilities. Compensation Range: $200K - $275K

Job Description Hi 👋🏾, I’m Abhik, Ashby’s Co-Founder and VP of Engineering. We’re looking for an Engineering leader who has done it all: You’ve built impressive products as an IC, you’ve built a bench of amazing Engineers, and you’ve established the cultural norms and processes of an entire Engineering department. Ashby’s success and ambition mean we’re doubling the Engineering team in the next year, and we need your experience and leadership to do it thoughtfully. Our product and growth are exceptional. Ashby All-in-One is powerful, easy to use, and replaces several venture-backed companies' worth of products (often with a better experience). We have notable customers like Notion, Linear, Shopify, and Snowflake. Our growth and retention metrics are best-in-class among our peers: we have tens of millions in ARR, growing >100% year over year, very low churn, and many years of runway. A big part of our secret sauce is how we run Engineering. We achieve incredible speed and quality by discarding many industry norms and being optimistic about Engineers. We consider what makes exceptional Engineers exceptional and then figure out how to hire them and build an environment that gives them the freedom and agency to actually be exceptional. In other words, if engineers writing product specs, making product decisions, and not breaking down projects into individual tickets excites you, you’ve found the right place. As Head of Engineering in the Americas, you’ll work closely with me and your counterpart in EMEA, Colin, to continue scaling our unique culture. You’ll manage our remote team of 20 engineers and 2 EMs, who cover a wide variety of specializations, from Product Engineers to Site Reliability Engineers to Design Engineers. Over the next year, you’ll grow that team to 40 engineers and 5-6 EMs. I’ll share more details once we meet. What We’re Building As engineers, we are used to tooling that makes us better at what we do. When we started Ashby, we saw the opposite with Talent Acquisition software. Recruiting teams were leveling up how they did their work, but instead of software meeting this new standard, it held them back. Scheduling a final round is an excellent example. Recruiting teams wanted to schedule candidates faster, track interviewer preparation and quality, and do it with half the headcount. A recruiter needed to manually collect availability from the candidate, identify qualified interviewers, perform “Calendar Tetris” to find who is available to interview the candidate, schedule on the earliest date possible, and make any last-minute adjustments as availability changed. They must do this while considering the interview load on each individual and whether interviewers need to be trained and shadowing others. 🥵 TA software didn’t help. As hiring managers, we know TA is a critical function, and as engineers, we know software can do better. So, we built and continue to build Ashby to give TA teams the highest standard of tooling. Software that’s intelligent and powerful. Software that provides insights into where they’re failing and automates or simplifies many of the tasks they’re underwater with. We want other functions and departments to be jealous of what TA teams can do with Ashby, and today they often are! Why You Shouldn’t Apply * You’ve always been a line manager or middle manager. You haven’t led the definition and evolution of the culture and processes of an entire Engineering department. * You’ve never managed managers. Managing other leaders is a very different ball game, and not everyone enjoys it or thrives in it – the seniority of this role won’t let you explore that. * You don’t enjoy coding or don’t find time to stay up-to-date on technology. We believe great leaders are folks who were great engineers themselves. That starts with loving the craft and never giving it up. * You went into management because it was the only growth path available. We want folks who could have been Principal engineers (or were one!). * You're happy with a team of engineers who are predominantly early-career or mid-career or don't thrive with ownership or autonomy. You believe that with enough guardrails, the team can get things done. * To you, a Staff or Principal Engineer is someone who spends most of their time project managing or conducting architecture reviews. You don’t believe staff and principal engineers could lead by the example they set or the leverage they create through their work. * You’re not optimistic or convinced that we can build a large engineering team that functions differently from the status quo. You think, at some size, common processes need to be implemented to ensure consistent product delivery (e.g., sprint planning, product managers writing in-depth specifications). You might not say it out loud, but you think, at some size, compromises have to be made for the sake of hiring numbers or consistency. Engineering Culture Our engineering culture is motivated by Benji’s (my Co-founder and CEO) and my belief that a small, talented team, given the right environment, can build high-quality software fast (and work regular hours!). We do it through: * Minimal process with ownership over decisions normally made by product and design * Natural collaboration and deliberate communication * Investing in tools and abstractions that give us leverage * Putting effort into building a diverse team You’ll be a critical part of figuring out how to scale these methods from 50 engineers to 100 and beyond. Minimal Process & Lots of Ownership The best engineers we’ve worked with delivered reliably magical outcomes. They took customer problems and relentlessly drove them to solutions that were not only successful but often brilliant and creative. While they did this with minimal oversight, stakeholders were never in the dark as to what was going on, and no setback was a surprise. Traditional product-development processes aren’t meant for the best engineers. Their purpose is to create consistent outcomes regardless of the engineer’s skill. But, consistency comes at the expense of an engineer’s time and freedom—both ingredients necessary to generate those magical outcomes. As a result, process stifles the best engineers and doesn’t give others the opportunity to practice the behaviors that made the best engineers the “best.” At Ashby, we want to build an environment that encourages every engineer to be their best. So, at Ashby, every Engineer runs their project. Product Managers (and Designers) build strategy, do customer research, and hand off problem briefs to Engineers. Engineers take on the rest: they research the problem, write product specs, build wireframes, and implement their solution end-to-end. We rely on engineers, not process, to push information outward to the relevant folks (e.g., Product Managers) and pull folks in to help (e.g., Designers, Infra). It’s a new level of ownership for many engineers, but we’d rather an engineer fail a bit and coach up their skills than use process as a crutch. Not everyone succeeds in our culture, but those who do thrive. Collaboration is Natural & Communication is Deliberate Our engineering team consists of lifelong learners who are talented but also humble and kind (meet them here!). These attributes create an environment where collaboration happens naturally. We combine this with research, prototyping, and written proposals to see around corners and get feedback from the team across time zones. Focus time is something that we hold sacred, and, with thoughtful and deliberate communication, engineers are in <2h meetings per week (I wrote about it here). To drive it home, here's a recent calendar of an engineer who has been with us for over 4 years: We also meet in person at least twice a year, once as a department and once as a company. You also have a small budget to meet up with folks in your city/region. Increase Leverage, not Team Size We built Ashby with the quality, breadth, and depth that many customers would expect from much larger teams over larger time scales. We’ve done this through investment in: * Great developer tooling. Our CI/CD takes ~10m, and we deploy at least 15x a day. A debugger that works out of the box. Everyone on the team has contributed to our developer experience 💪🏾. * Building blocks to create powerful and customizable products fast. At the core of Ashby is a set of common components (analytics modeling and query language, policy engine, workflow engine, design system) that we constantly improve. Each improvement to a common component cascades throughout our app (short video below). Here’s an impromptu quote from Arjun in our company Slack of what it’s like to build a feature at Ashby: And a demo of one of these building blocks: Put Effort into Diversity Diverse teams drive innovation and better outcomes. Having seen my mother and partner build their careers as minority women in non-diverse fields, I want to make sure Ashby creates opportunities for the next generation of engineers from underrepresented groups. Today, 21% of engineers at Ashby are from underrepresented groups. It’s not great, and we are taking conscious steps to improve, like sourcing diverse candidates, providing generous paid family leave, no leetcode interviews, and more. Interview Process This is an important role that will lead half of our Engineering team now and for the foreseeable future. The interview process reflects that both in challenge and length (~6.5h): * Introduction call with me (30m, live) * A technical screen where we pair in our actual codebase (1h, live) * An interview to explore your past experience as a leader (1h, live) * A deep dive into a past project with other Engineering Leaders (1h, live) * Interview with Colin, our Head of EMEA Engineering (45m) * Interview with Benji, our CEO (45m, live) * Final round where you meet various folks on the team (90m) Depending on my bandwidth, we may start with an additional 30m screen with a recruiter. Near the end of the process, we’ll do reference checks. This is also an important decision for you, so I’m always happy to have coffee chats in person or over Zoom to get to know each other. Your First Six Months at Ashby Your first three months at Ashby will be spent learning about Ashby Engineering and easing into leadership. While most of your onboarding will be driven by a 6-month plan you put together (and refine over time), you’ll also ship some product changes and features. What better way to learn how ICs work than to be one! Don’t worry if you don’t know our technologies. The team is really helpful and our dev environment is pretty awesome: it sets up in a single script and you’ll be able to push your first product change on day one. You and I will do 30-day, 60-day, 90-day, and 6-month reviews to calibrate on our unique culture and how you, I, and the team will work together. Benefits * Competitive salary and equity. * 10-year exercise window for stock options. You shouldn’t feel pressure to purchase stock options if you leave Ashby —do it when you feel financially comfortable. * Unlimited PTO. * A minimum of 12 weeks of fully paid parental leave, covered by Ashby. For folks outside the US, it may be longer to be in line with regional requirements. * Generous equipment, software, and office furniture budget. Get what you need to be happy and productive! * $100/month education budget with more expensive items (like conferences) covered with manager approval. * If you’re in the US, we offer top-tier health insurance for you and your dependents, with 100% of premiums covered by Ashby. In other countries, we provide high-quality supplemental health insurance for you and your dependents, also fully covered by us. Ashby’s success hinges on hiring great people and creating an environment where we can be happy, feel challenged, and do our best work. We’re being deliberate about building that environment from the ground up. I hope that excites you enough to apply. Ashby provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity, or gender expression. We are committed to a diverse and inclusive workforce and welcome people from all backgrounds, experiences, perspectives, and abilities. Compensation Range: CA$280K - CA$320K

Job Description:\n\nWe’re looking for a curious, rigorous, problem-hungry platform engineer (who codes!) to carry the ball as we bring Ashby to the big leagues. Ashby builds software that lets talent teams build an efficient, delightful, respectful hiring process. Similarly, you’re an engineer who wants to build a “paved road” that excellent engineering teams can safely take to the moon and back. We have notable customers like Notion, Linear, Shopify, and Snowflake. Our growth and retention metrics are best-in-class among our peers: we have tens of millions in ARR, growing >100% year over year, over 2500 customers, very low churn, and many years of runway. We’ll share more details once we meet, but you now probably have a good idea as to why we're hiring for this role 😅. We’ve listed this role twice: as a Platform Engineer and Site Reliability Engineer – our team does both, and we are open to candidates who lean towards one or the other. About the role and how we work Hi 👋 I’m Colin, Head of EMEA Engineering. I’ve spent a number of years leading engineering teams in startups, and that has always included being close to infrastructure teams - no matter what name they’ve worn (SRE, infrastructure, platform, etc). I’ve got my hands dirty building the initial infrastructure for startups and know the value a talented infrastructure engineer brings. The rigour, the discipline, the peace and quiet when everything just hums along. Our infrastructure is in a good place for now. Nothing is static. Ashby continues to grow rapidly, putting strain on our existing infrastructure. We’re always looking to give our customers more powerful hiring software, and building new product features often requires new pieces of infrastructure. Having herded plenty of snowflakeservers in the past, I’ve learned there’s a better way. I (and Ashby) place a lot of value on code-as-infrastructure. As a Platform Engineer at Ashby, you’ll get to dive into scaling problems, add new capabilities to our platform, and think about how our entire team interacts with infrastructure. All our own engineers own their projects end-to-end and ship with minimal oversight. We don’t put roadblocks to ensure security when common sense will do and we don’t build processes like change management boards around the lowest common denominator. But with great power comes great responsibility: we handle personal and confidential data about some of the biggest decisions we ever make at work. As we grow, more and bigger customers rely on us to be reliable and secure and how we operate internally will need to evolve. We’re at an inflection point where our ability to scale and deliver a seamless experience has a make-or-break impact – we have some of the fastest growing companies using our platform every day to hire hundreds of people per month. We need someone like you to make good decisions, debug thorny issues, and build us a future-proof platform that can withstand this scale. Our small but mighty infrastructure team has set up a secure and simple environment (we don’t believe in spinning up a new service unless necessary!) for our growing product team to build in. That’s where you come in: you, too, will own projects end-to-end and have an impact on core parts of the Ashby developer and user experience. For instance, you could work on: Optimize our homegrown ultra-dynamic recruiting DSL-to-SQL compiler, and create tools to help developers do so Create automated guardrails for the security and privacy of our customer data Help our developers ship features fast through canary deploys, gradual rollouts and feature flags, while keeping complexity manageable and reducing downtime Work with the business and the engineering team to define SLOs and implement the corresponding SLIs. Ensure all communication with external services supports retries and circuit-breakers. Implement the infrastructure to support an event-driven architecture and data warehouse. We’re looking for someone who can build systems that an engineer would like to work with: mature and boring but open-minded and approachable. We have to balance reliability with flexibility. Software and its availability are now mission critical to almost every working professional. To be in an SRE in today’s world, you have to be extremely comfortable evaluating risk, those you take and those others take. Why you should or shouldn’t apply You should apply if: You never stop. You get weirdly obsessed about a problem that doesn’t yet make sense, turn it every which way in your head until the explanation dawns. You’ll search every rock, inventory every clue, hunt every mismatch. We do that, too - together we’ll be armed with state-of-the-art monitoring tools and an impressive amount of data, and join you in the adventure. You don’t take shortcuts. You’re speaking up for the future user, the edge case, the doomsday design. You know product engineers want to build it with you, and see them as allies, where you give them the power and knowledge to access greater things. You’re someone who cares about what you do and the team you do it with, and want to work with others who do as well. You’ll be on interview panels choosing your next colleagues, and you’ll take that seriously. You only want to work with people who make you better, and want to make you better. You’ve built infrastructure at a slightly later stage than Ashby is at - you know how to deal with millions of data points, have seen great (or not great) infrastructure make or break customer experience, and have automated everything from provisioning to monitoring and release process. You’re a Swiss army knife (all nationalities welcome ;) ). You’ll get every hard problem the company faces. You’ll get to do infrastructure updates, security enforcements, database optimization, Kubernetes debugging, and digging through Typescript traces figuring out what doesn’t work. You probably don’t feel like an expert at at least some of that... and that appeals to you. All that makes for a pretty specific kind of role, and the job isn’t to everyone’s tastes! You should not apply if: You don’t want to make your own decisions on what is the best paved road to build for Ashby, and expect a lead or manager to make the final call on what that is. Our leads (and managers) give ample commentary and feedback on technical decisions and how they’re made, but you ship what you want to build and are accountable for it. You hate SQL. We have a lot of features built around making the best out of data, and our platform engineers also sometimes dive into a gnarly report or advise engineers on a more performant data model to use. You don’t want to code. Our SREs are some of our best software engineers and they are just as responsible for the application as the other engineering teams - albeit at a platform level. Reviewing code and submitting code changes will be part of your day to day. Your primary mode of communicating best practices to engineers is live meetings. We’re a very async culture and written communication (and code) is how changes get made. As an Ashby SRE, you will need to share new tooling and best practices with engineers faster than your next meeting opportunity will take you. You’ve never delivered a project, on your own, without someone prodding you for updates. We have no project or delivery managers to fill your calendar with busy work, but the flip side is you have to do your project management, seek the help you need to get unstuck and cut scope when it’s worthwhile. Technology Stack I’m sharing our tech stack with the caveat that we don’t require previous experience in it: TypeScript (frontend & backend), Node.js, React, Apollo GraphQL, Postgres, Redis. We use Datadog and Sentry on 100% cloud-based (AWS) infra. We take developer experience and reliability seriously: all engineers are on call in a follow-the-sun model, and everyone contributes to developer tooling. What We’re Building As engineers, we are used to tooling that makes us better at what we do. When we started Ashby, we saw the opposite with Talent Acquisition software. Recruiting teams were leveling up how they did their work, but instead of software meeting this new standard, it held them back. Scheduling a final round is an excellent example. Recruiting teams wanted to schedule candidates faster, track interviewer preparation and quality, and do it with half the headcount. A recruiter needed to manually collect availability from the candidate, identify qualified interviewers, perform “Calendar Tetris” to find who is available to interview the candidate, schedule on the earliest date possible, and make any last-minute adjustments as availability changed. They must do this while considering the interview load on each individual and whether interviewers need to be trained and shadowing others. 🥵 TA software didn’t help. As hiring managers, we know TA is a critical function, and as engineers, we know software can do better. So, we built and continue to build Ashby to give TA teams the highest standard of tooling. Software that’s intelligent and powerful. Software that provides insights into where they’re failing and automates or simplifies many of the tasks they’re underwater with. We want other functions and departments to be jealous of what TA teams can do with Ashby, and today they often are! Engineering Culture Our engineering culture is motivated by Abhik and Benji’s (our co-founders) belief that a small talented team, given the right environment, can build high-quality software fast (and work regular hours!). We do it through: Minimal process with ownership over decisions normally made by product and design Natural collaboration and deliberate communication Investing in tools and abstractions that give us leverage Putting effort into building a diverse team Minimal Process & Lots of Ownership The best engineers we’ve worked with delivered reliably magical outcomes. They took customer problems and relentlessly drove them to solutions that were not only successful but often brilliant and creative. While they did this with minimal oversight, stakeholders were never in the dark as to what was going on, and no setback was a surprise. Traditional product-development processes aren’t meant for the best engineers. Their purpose is to create consistent outcomes regardless of the engineer’s skill. But, consistency comes at the expense of an engineer’s time and freedom—both ingredients necessary to generate those magical outcomes. As a result, process stifles the best engineers and doesn’t give others the opportunity to practice the behaviors that made the best engineers the “best.” At Ashby, we want to build an environment that encourages every engineer to be their best. So, at Ashby, every Engineer runs their project. Product Managers (and Designers) build strategy, do customer research, and hand off problem briefs to Engineers. Engineers take on the rest: they research the problem, write product specs, build wireframes, and implement their solution end-to-end. We rely on engineers, not process, to push information outward to the relevant folks (e.g., Product Managers) and pull folks in to help (e.g., Designers, Infra). It’s a new level of ownership for many engineers, but we’d rather an engineer fail a bit and coach up their skills than use process as a crutch. Not everyone succeeds in our culture, but those who do thrive. Collaboration is Natural & Communication is Deliberate Our engineering team consists of lifelong learners who are talented but also humble and kind (meet them here!). These attributes create an environment where collaboration happens naturally. We combine this with research, prototyping, and written proposals to see around corners and get feedback from the team across time zones. Focus time is something that we hold sacred, and, with thoughtful and deliberate communication, engineers are in <2h meetings per week (Abhik wrote about it here). To drive it home, here's a recent calendar of an engineer who has been with us for over 4 years: We also meet in person at least twice a year, once as a department and once as a company. You also have a small budget to meet up with folks in your city/region. Increase Leverage, not Team Size We built Ashby with the quality, breadth, and depth that many customers would expect from much larger teams over larger time scales. We’ve done this through investment in: Great developer tooling. Our CI/CD takes ~10m, and we deploy at least 15x a day. A debugger that works out of the box. Everyone on the team has contributed to our developer experience 💪🏾. Building blocks to create powerful and customizable products fast. At the core of Ashby is a set of common components (analytics modeling and query language, policy engine, workflow engine, design system) that we constantly improve. Each improvement to a common component cascades throughout our app (short video below). Here’s an impromptu quote from Arjun in our company Slack of what it’s like to build a feature at Ashby: And a demo of one of these building blocks: Put Effort into Diversity Diverse teams drive innovation and better outcomes. Having seen my mother and partner build their careers as minority women in non-diverse fields, I want to make sure Ashby creates opportunities for the next generation of engineers from underrepresented groups. Today, 21% of engineers at Ashby are from underrepresented groups. It’s not great, and we are taking conscious steps to improve, like sourcing diverse candidates, providing generous paid family leave, no leetcode interviews, and more. Interview Process At Ashby, our team and interview process want to help you show your best self. We’ll dive into past projects and simulate working together via pair programming, writing product and tech specs collaboratively, and talking through decisions. There are no leetcode or whiteboard exercises. Our interview process is three rounds: Introduction call with Hiring Manager (15 to 30m, live) A technical screen where we pair in our actual codebase (1h, live) Three non-coding interviews that focus on technical design, debugging incidents, and infrastructure (3h 15m, live can be split across multiple days) Depending on our leadership team’s bandwidth, we may start with an additional 30m screen with a recruiter. Your hiring manager will be your main point of contact and prep you for interviews. Each round will have written guidance so you know what to expect (you’ll need minimal preparation). You’ll meet 4 to 6 people in engineering (with 5-15 minutes in each interview to ask them questions). If we don’t give an offer, we’ll provide feedback! Your First Three Months at Ashby We want an exceptional onboarding experience for every new hire. At Ashby, your dev environment is set up with a single script, you push your first product change on day one, and you spend the rest of your time shipping product changes that give you a tour of our codebase and b

Job Description:\n\nWe’re looking for a curious, rigorous, problem-hungry platform engineer (who codes!) to carry the ball as we bring Ashby to the big leagues. Ashby builds software that lets talent teams build an efficient, delightful, respectful hiring process. Similarly, you’re an engineer who wants to build a “paved road” that excellent engineering teams can safely take to the moon and back. We have notable customers like Notion, Linear, Shopify, and Snowflake. Our growth and retention metrics are best-in-class among our peers: we have tens of millions in ARR, growing >100% year over year, over 2500 customers, very low churn, and many years of runway. We’ll share more details once we meet, but you now probably have a good idea as to why we're hiring for this role 😅. We’ve listed this role twice: as a Platform Engineer and Site Reliability Engineer – our team does both, and we are open to candidates who lean towards one or the other. About the role and how we work Hi 👋 I’m Colin, Head of EMEA Engineering. I’ve spent a number of years leading engineering teams in startups, and that has always included being close to infrastructure teams - no matter what name they’ve worn (SRE, infrastructure, platform, etc). I’ve got my hands dirty building the initial infrastructure for startups and know the value a talented infrastructure engineer brings. The rigour, the discipline, the peace and quiet when everything just hums along. Our infrastructure is in a good place for now. Nothing is static. Ashby continues to grow rapidly, putting strain on our existing infrastructure. We’re always looking to give our customers more powerful hiring software, and building new product features often requires new pieces of infrastructure. Having herded plenty of snowflakeservers in the past, I’ve learned there’s a better way. I (and Ashby) place a lot of value on code-as-infrastructure. As a Platform Engineer at Ashby, you’ll get to dive into scaling problems, add new capabilities to our platform, and think about how our entire team interacts with infrastructure. All our own engineers own their projects end-to-end and ship with minimal oversight. We don’t put roadblocks to ensure security when common sense will do and we don’t build processes like change management boards around the lowest common denominator. But with great power comes great responsibility: we handle personal and confidential data about some of the biggest decisions we ever make at work. As we grow, more and bigger customers rely on us to be reliable and secure and how we operate internally will need to evolve. We’re at an inflection point where our ability to scale and deliver a seamless experience has a make-or-break impact – we have some of the fastest growing companies using our platform every day to hire hundreds of people per month. We need someone like you to make good decisions, debug thorny issues, and build us a future-proof platform that can withstand this scale. Our small but mighty infrastructure team has set up a secure and simple environment (we don’t believe in spinning up a new service unless necessary!) for our growing product team to build in. That’s where you come in: you, too, will own projects end-to-end and have an impact on core parts of the Ashby developer and user experience. For instance, you could work on: Optimize our homegrown ultra-dynamic recruiting DSL-to-SQL compiler, and create tools to help developers do so Create automated guardrails for the security and privacy of our customer data Help our developers ship features fast through canary deploys, gradual rollouts and feature flags, while keeping complexity manageable and reducing downtime Work with the business and the engineering team to define SLOs and implement the corresponding SLIs. Ensure all communication with external services supports retries and circuit-breakers. Implement the infrastructure to support an event-driven architecture and data warehouse. We’re looking for someone who can build systems that an engineer would like to work with: mature and boring but open-minded and approachable. We have to balance reliability with flexibility. Software and its availability are now mission critical to almost every working professional. To be in an SRE in today’s world, you have to be extremely comfortable evaluating risk, those you take and those others take. Why you should or shouldn’t apply You should apply if: You never stop. You get weirdly obsessed about a problem that doesn’t yet make sense, turn it every which way in your head until the explanation dawns. You’ll search every rock, inventory every clue, hunt every mismatch. We do that, too - together we’ll be armed with state-of-the-art monitoring tools and an impressive amount of data, and join you in the adventure. You don’t take shortcuts. You’re speaking up for the future user, the edge case, the doomsday design. You know product engineers want to build it with you, and see them as allies, where you give them the power and knowledge to access greater things. You’re someone who cares about what you do and the team you do it with, and want to work with others who do as well. You’ll be on interview panels choosing your next colleagues, and you’ll take that seriously. You only want to work with people who make you better, and want to make you better. You’ve built infrastructure at a slightly later stage than Ashby is at - you know how to deal with millions of data points, have seen great (or not great) infrastructure make or break customer experience, and have automated everything from provisioning to monitoring and release process. You’re a Swiss army knife (all nationalities welcome ;) ). You’ll get every hard problem the company faces. You’ll get to do infrastructure updates, security enforcements, database optimization, Kubernetes debugging, and digging through Typescript traces figuring out what doesn’t work. You probably don’t feel like an expert at at least some of that... and that appeals to you. All that makes for a pretty specific kind of role, and the job isn’t to everyone’s tastes! You should not apply if: You don’t want to make your own decisions on what is the best paved road to build for Ashby, and expect a lead or manager to make the final call on what that is. Our leads (and managers) give ample commentary and feedback on technical decisions and how they’re made, but you ship what you want to build and are accountable for it. You hate SQL. We have a lot of features built around making the best out of data, and our platform engineers also sometimes dive into a gnarly report or advise engineers on a more performant data model to use. You don’t want to code. Our SREs are some of our best software engineers and they are just as responsible for the application as the other engineering teams - albeit at a platform level. Reviewing code and submitting code changes will be part of your day to day. Your primary mode of communicating best practices to engineers is live meetings. We’re a very async culture and written communication (and code) is how changes get made. As an Ashby SRE, you will need to share new tooling and best practices with engineers faster than your next meeting opportunity will take you. You’ve never delivered a project, on your own, without someone prodding you for updates. We have no project or delivery managers to fill your calendar with busy work, but the flip side is you have to do your project management, seek the help you need to get unstuck and cut scope when it’s worthwhile. Technology Stack I’m sharing our tech stack with the caveat that we don’t require previous experience in it: TypeScript (frontend & backend), Node.js, React, Apollo GraphQL, Postgres, Redis. We use Datadog and Sentry on 100% cloud-based (AWS) infra. We take developer experience and reliability seriously: all engineers are on call in a follow-the-sun model, and everyone contributes to developer tooling. What We’re Building As engineers, we are used to tooling that makes us better at what we do. When we started Ashby, we saw the opposite with Talent Acquisition software. Recruiting teams were leveling up how they did their work, but instead of software meeting this new standard, it held them back. Scheduling a final round is an excellent example. Recruiting teams wanted to schedule candidates faster, track interviewer preparation and quality, and do it with half the headcount. A recruiter needed to manually collect availability from the candidate, identify qualified interviewers, perform “Calendar Tetris” to find who is available to interview the candidate, schedule on the earliest date possible, and make any last-minute adjustments as availability changed. They must do this while considering the interview load on each individual and whether interviewers need to be trained and shadowing others. 🥵 TA software didn’t help. As hiring managers, we know TA is a critical function, and as engineers, we know software can do better. So, we built and continue to build Ashby to give TA teams the highest standard of tooling. Software that’s intelligent and powerful. Software that provides insights into where they’re failing and automates or simplifies many of the tasks they’re underwater with. We want other functions and departments to be jealous of what TA teams can do with Ashby, and today they often are! Engineering Culture Our engineering culture is motivated by Abhik and Benji’s (our co-founders) belief that a small talented team, given the right environment, can build high-quality software fast (and work regular hours!). We do it through: Minimal process with ownership over decisions normally made by product and design Natural collaboration and deliberate communication Investing in tools and abstractions that give us leverage Putting effort into building a diverse team Minimal Process & Lots of Ownership The best engineers we’ve worked with delivered reliably magical outcomes. They took customer problems and relentlessly drove them to solutions that were not only successful but often brilliant and creative. While they did this with minimal oversight, stakeholders were never in the dark as to what was going on, and no setback was a surprise. Traditional product-development processes aren’t meant for the best engineers. Their purpose is to create consistent outcomes regardless of the engineer’s skill. But, consistency comes at the expense of an engineer’s time and freedom—both ingredients necessary to generate those magical outcomes. As a result, process stifles the best engineers and doesn’t give others the opportunity to practice the behaviors that made the best engineers the “best.” At Ashby, we want to build an environment that encourages every engineer to be their best. So, at Ashby, every Engineer runs their project. Product Managers (and Designers) build strategy, do customer research, and hand off problem briefs to Engineers. Engineers take on the rest: they research the problem, write product specs, build wireframes, and implement their solution end-to-end. We rely on engineers, not process, to push information outward to the relevant folks (e.g., Product Managers) and pull folks in to help (e.g., Designers, Infra). It’s a new level of ownership for many engineers, but we’d rather an engineer fail a bit and coach up their skills than use process as a crutch. Not everyone succeeds in our culture, but those who do thrive. Collaboration is Natural & Communication is Deliberate Our engineering team consists of lifelong learners who are talented but also humble and kind (meet them here!). These attributes create an environment where collaboration happens naturally. We combine this with research, prototyping, and written proposals to see around corners and get feedback from the team across time zones. Focus time is something that we hold sacred, and, with thoughtful and deliberate communication, engineers are in <2h meetings per week (Abhik wrote about it here). To drive it home, here's a recent calendar of an engineer who has been with us for over 4 years: We also meet in person at least twice a year, once as a department and once as a company. You also have a small budget to meet up with folks in your city/region. Increase Leverage, not Team Size We built Ashby with the quality, breadth, and depth that many customers would expect from much larger teams over larger time scales. We’ve done this through investment in: Great developer tooling. Our CI/CD takes ~10m, and we deploy at least 15x a day. A debugger that works out of the box. Everyone on the team has contributed to our developer experience 💪🏾. Building blocks to create powerful and customizable products fast. At the core of Ashby is a set of common components (analytics modeling and query language, policy engine, workflow engine, design system) that we constantly improve. Each improvement to a common component cascades throughout our app (short video below). Here’s an impromptu quote from Arjun in our company Slack of what it’s like to build a feature at Ashby: And a demo of one of these building blocks: Put Effort into Diversity Diverse teams drive innovation and better outcomes. Having seen my mother and partner build their careers as minority women in non-diverse fields, I want to make sure Ashby creates opportunities for the next generation of engineers from underrepresented groups. Today, 21% of engineers at Ashby are from underrepresented groups. It’s not great, and we are taking conscious steps to improve, like sourcing diverse candidates, providing generous paid family leave, no leetcode interviews, and more. Interview Process At Ashby, our team and interview process want to help you show your best self. We’ll dive into past projects and simulate working together via pair programming, writing product and tech specs collaboratively, and talking through decisions. There are no leetcode or whiteboard exercises. Our interview process is three rounds: Introduction call with Hiring Manager (15 to 30m, live) A technical screen where we pair in our actual codebase (1h, live) Three non-coding interviews that focus on technical design, debugging incidents, and infrastructure (3h 15m, live can be split across multiple days) Depending on our leadership team’s bandwidth, we may start with an additional 30m screen with a recruiter. Your hiring manager will be your main point of contact and prep you for interviews. Each round will have written guidance so you know what to expect (you’ll need minimal preparation). You’ll meet 4 to 6 people in engineering (with 5-15 minutes in each interview to ask them questions). If we don’t give an offer, we’ll provide feedback! Your First Three Months at Ashby We want an exceptional onboarding experience for every new hire. At Ashby, your dev environment is set up with a single script, you push your first product change on day one, and you spend the rest of your time shipping product changes that give you a tour of our codebase and b

Job Description At Ouster, we build sensors and tools for engineers, roboticists, and researchers, so they can make the world safer and more efficient. We've transformed LIDAR from an analog device with thousands of components to an elegant digital device powered by one chip-scale laser array and one CMOS sensor. The result is a full range of high-resolution LIDAR sensors that deliver superior imaging at a dramatically lower price. Our advanced sensor hardware and vision algorithms are used in autonomous cars, drones and many other applications. If you’re motivated by solving big problems, we’re hiring key roles across the company and need your help! Ouster is hiring a Customer Success Engineer to help our robotics customers be as successful and efficient with our lidar sensors as possible! This position will serve primarily to help our customers get up and running quickly, troubleshoot and fix any problems, track trending issues, and process all returns. These duties will be performed in compliance with policy guidelines and within timeframes as defined in the team’s SLAs and/or project requirements. Key Responsibilities: • Customer Integration & Onboarding:, • Lead post-sale technical onboarding, guiding customers through sensor integration, network configuration, and software (SDK/API) setup., • Validate customer system architecture and sensor configurations to ensure optimal performance and alignment with project requirements., • Advanced Technical Triage & Resolution:, • Perform root cause analysis for complex customer issues involving hardware, firmware, networking, and software stacks by analyzing sensor diagnostic logs, network packet captures (e.g., Wireshark), and customer-provided system data., • Triage and resolve inbound technical support requests, distinguishing between hardware malfunctions, firmware bugs, network configuration errors, and software integration challenges., • System-Level Diagnostics & Troubleshooting:, • Utilize command-line interfaces (CLI), diagnostic software, and networking tools to diagnose and resolve issues related to sensor connectivity, data streaming (TCP/UDP), and system performance across Linux and Windows environments., • Replicate customer environments and issues in a lab setting to isolate variables and validate potential solutions before deployment., • Engineering Escalation & Collaboration:, • Act as a key liaison between customers and internal engineering teams. Escalate unresolved issues by authoring detailed bug reports in a ticketing system (e.g., Jira) with comprehensive logs, reproducible steps, and initial analysis., • Independently research and test novel solutions, consulting technical documentation, schematics, and internal knowledge bases., • Performance Optimization & Consultation:, • Advise customers on best practices for configuring sensor parameters (e.g., resolution, rotation rate) and optimizing network settings to achieve desired outcomes related to point cloud density, data accuracy, and low-latency performance., • Knowledge Base Development:, • Author, review, and maintain technical documentation, including application notes, troubleshooting guides, and knowledge base articles, to enable customer self-service and scale support operations., • On-Call & Live Troubleshooting:, • Linux Proficiency: Deep hands-on experience in Linux environments (Ubuntu preferred), including command-line proficiency, system administration, package management, and script execution., • Networking Expertise: Strong, practical understanding of networking principles and protocols, including TCP/IP, UDP, DNS, DHCP, VLANs and time synchronization protocols like PTP (IEEE 1588). Proven ability to diagnose network issues using tools like tcpdump, Wireshark, ping, and netstat., • Scripting & Automation: Experience with Python for scripting, log parsing, or automating diagnostic tasks is highly preferred., • Robotics Frameworks (Bonus): Familiarity with ROS (Robot Operating System) or ROS2 and associated tools (e.g., RViz) for data visualization and robotics integration is a significant plus. Professional Qualities • Problem-Solving & Autonomy: A resourceful and analytical mindset with the ability to independently troubleshoot complex technical challenges, conduct research, and formulate solutions with minimal supervision., • Technical Communication: Excellent communication skills with the ability to articulate complex technical concepts clearly and concisely to diverse audiences, from robotics engineers to project managers., • Customer Focus & Resilience: A patient and positive demeanor, with a proven ability to manage and de-escalate stressful customer situations while maintaining a focus on resolution., • Ownership & Proactivity: A strong sense of ownership for customer issues, demonstrated by consistently following up on open tickets and driving them to resolution. The base pay will be dependent on your skills, work experience, location, and qualifications. This role may also be eligible for equity & benefits. We acknowledge the confidence gap at Ouster. You do not need to meet all of these requirements to be the ideal candidate for this role. At Ouster we offer a range of competitive benefits, as we believe in taking care of our employees in all aspects of their lives. Our newly renovated office, located in the Mission District of San Francisco, is a dog-friendly workplace with a kitchen stocked with snacks, fresh fruit and drinks, and a complimentary dinner catered nightly. Additional perks include 15 vacation days/10 paid holidays annually; paid parental leave; pre-tax commuter or health care/dependent care accounts; 401K match up to 4%; medical, vision and dental plans with premiums covered at 100% for the employee and 75% for dependents (Cigna or Kaiser); life insurance; and short term disability and long term disability. Ouster offers the best benefit options available because we consider the well-being of our employees a top priority. Ouster is an Equal Employment Opportunity employer that pursues and hires a diverse workforce. Ouster does not make employment decisions on the basis of race, color, religion, ethnic or national origin, nationality, sex, gender, gender-identity, sexual orientation, disability, age, military status, or any other basis protected by local, state, or federal laws. Ouster also strives for a healthy and safe workplace, and prohibits harassment of any kind. Pursuant to the San Francisco Fair Chance Ordinance, Ouster considers qualified applicants with arrest and conviction records for employment. If you have a disability or special need that requires accommodation, please let us know. Powered by JazzHR 6yB4EdEfaL

Job Description Philo: TV on the Internet!!! At Philo, we're a group of technology and product people who set out to build the future of television, marrying the best in modern technology with the most compelling medium ever invented — in short, we're building the TV experience that we've always wanted for ourselves. In practice this means leveraging cloud delivery, modern tech stacks, machine learning, and hand-crafted native app experiences on all of our platforms. We aim to deliver a rock solid experience on the streaming basics, while cooking up next generation multi-screen and multi-user playback experiences. QA Engineer - Automation Specialist The frontend engineering teams at Philo ship applications to tens of millions of devices (e.g. Roku, iOS, Tizen, FireTV, Web, Chromecast, etc.) 10+ platforms. They are responsible for shipping high-quality apps, at a rapid pace and with an eye towards business value and user delight. With so many devices, so many form factors, and so many features, things inevitably go wrong! We're looking for a QA engineer to help us make sure that what we ship meets our high bar for quality. We believe that QA should be involved in the software development lifecycle from the beginning (what we call the "product discovery phase"), so that they know what "correct looks like". Our QA team takes a collaborative approach and teams up with developers to test iteratively as the feature takes shape. Because we're a small team, automation is a key part of our QA strategy; we have regression suites for all of our major platforms. We expect our QA engineers to actively participate in the automation and add to the suite as we productionize new features. With that said, we still do manual QA on our features while they are still in the experimentation phase. In this role you will be expected to do both manual QA and automation testing. Responsibilities: • Own the quality of 1-2 platforms. This includes manually testing new features, and improving the test suite for that platform., • Build upon automation suites across all of our major connected TV platforms including Web-TV (Samsung/Tizen, LG, Vizio), AndroidTV/FireTV, and Roku., • Work with product and engineering to prioritize test cases based on past bugs and risk tolerance within different parts of the app., • Collaborate closely with product and engineering to incorporate new features into the regression suite., • Help developers triage and understand bugs that are found., • Facilitate company-wide bug bashes., • Own and update release documentation to reflect current production deployments, feature availability, and version histories., • 10+ years of QA experience, • 2+ years of experience writing QA automation test code, • Familiarity with Typescript/JS for test writing, • Suite.st Testing Framework experience is a plus, • Experience writing QA automation tests against connected TV and mobile devices, • Experience testing video playback, • Experience or familiarity with at least two of: Android testing, Roku testing, Apple testing, Web testing, • Experience working closely with technical leads and engineering teams to drive project execution and maintain high code quality standards, • Excellent communication skills and the ability to collaborate across teams and disciplines to achieve common goals. At Philo, we're a company that puts people first—both our subscribers and our team. Our philosophy is to empower our colleagues to do their best work while supporting each other in pursuing shared goals. We value pragmatism, pride in our work, and passion. Transparency and openness are fundamental to our company culture. We are committed to diversity and inclusion as we grow the Philo team and shape the future of TV. We believe that a diverse set of voices and perspectives on our team enables us to innovate faster and create the best experience for our subscribers. Philo offers access to top-rated networks, including AMC, BET, CMT, Comedy Central, Discovery, Food Network, Hallmark, HGTV, History, Investigation Discovery, Lifetime, MTV, Nickelodeon, OWN, VH1, WE tv, and more, along with groundbreaking originals and blockbuster movies included with AMC+. Our service also includes 100+ free channels and premium add-ons like STARZ and MGM+. Our extensive library boasts over 75,000 titles, and our unlimited DVR allows users to save their favorite shows and movies for up to a year, skipping ads for a seamless viewing experience. Stream on up to three devices simultaneously, whether on your phone, tablet, laptop, or TV using Roku, Apple TV, Fire TV, Samsung TV, Android TV, Vizio TV, or Chromecast. Philo is headquartered in San Francisco, with offices in New York and Cambridge, MA. Our leadership team includes a co-founder of Facebook and alums from Meraki and HBO, backed by NEA and industry partners like Warner Brothers Discovery, Paramount, AMC, and A&E. Join us at Philo and be part of a team that's shaping the future of TV! Status: Full-time Location: San Francisco, CA or remote within the U.S. Compensation: Includes annual salary between $153 - $180K depending on experience and location, company stock options and health benefits We value a diverse and inclusive workplace and we welcome people of different backgrounds, experiences, skills, and perspectives. Philo is an equal opportunity employer. We believe that everyone does their best work when they are supported by each other and the company, and we offer a generous set of benefits to make sure the Philo team is happy and healthy. Here is a sampling of the benefits we offer our team: • Full health, dental and vision coverage for you and your family, • 401(k) plan with employer contributions (we match 100% of deferrals up to 3% of pay and 50% of the next 2% of pay), • Flexible working hours, • Up to 20 weeks of fully paid parental leave, • Unlimited paid time off for vacation and sick leave, • $2,000 annual vacation bonus (we pay you to take a two week vacation), • $5,250 annually for professional development and educational assistance, • $1,250 annual home office + TV stipend during first year of employment ($250 annually thereafter), • $500/month ($6,000/year) bonus for employees who commit to working at least 3 days per week in our offices, plus generous commuter benefits ($315/month towards transit, rideshare, bike rental, or parking at our HQ office in San Francisco), • Free Gympass subscription — an all-in-one corporate benefit that gives employees the largest selection of gyms, studios, classes, training and wellness apps, • Dog-friendly office Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Job Description Crusoe's mission is to accelerate the abundance of energy and intelligence. We’re crafting the engine that powers a world where people can create ambitiously with AI — without sacrificing scale, speed, or sustainability. Be a part of the AI revolution with sustainable technology at Crusoe. Here, you'll drive meaningful innovation, make a tangible impact, and join a team that’s setting the pace for responsible, transformative cloud infrastructure. About the Role: As a Developer Advocate at Crusoe, you will be the bridge between our groundbreaking cloud platform and the community of AI developers and ML engineers who are pushing the boundaries of what's possible. You won't just be promoting a product; you'll be championing a new paradigm of sustainable computing. Your core mission will be to empower our users to succeed on Crusoe Cloud. You will create resources, build community, and act as the voice of the developer inside Crusoe, ensuring our product evolution is directly informed by user needs. This is a unique opportunity to build a developer relations program from the ground up at a company with a powerful and compelling story. What You'll Be Working On: * Educate & Empower: Create compelling technical content—including blog posts, tutorials, documentation, video guides, and sample applications—that helps developers get started and succeed with Crusoe Cloud for their AI/ML infrastructure and managed services workloads. * Engage the Community: Foster a vibrant and inclusive community of users. Engage with developers on platforms like Discord, Slack, GitHub, Stack Overflow, and technical forums to answer questions and develop a deep understanding of the needs and challenges of AI infrastructure and ML engineer personas. * Be the Voice of Crusoe: Identify and represent Crusoe at conferences, meetups, webinars, hackathons, and workshops. Deliver engaging technical presentations that showcase the power and environmental benefits of our platform. * Market Intelligence: Track AI developments across cloud infrastructure, MLOps and managed services and convert them into insights that shape Crusoe Cloud’s brand and offerings. * Content Leadership: Produce high-quality, timely content (white papers, newsletters, dev blogs, and social posts) aligned with emerging AI trends and Crusoe Cloud’s unique perspective. Develop compelling narratives, demos, and technical content (“how to” guides, API documentation, open source projects, tutorials, video guides, sample apps, etc.) that highlight the capabilities and benefits of Crusoe Cloud. What You'll Bring to the Table: * 5+ years of experience working at the intersection of engineering and marketing, ideally in a DevRel, technical marketing, or community role. You know how to build trust with developers and communicate technical value credibly. * You can establish credibility and engage with both AI infrastructure engineers and with code-first, "bring-your-own-tools" ML engineers. * Strong proficiency in Python and hands-on experience with at least one major AI/ML framework (e.g., PyTorch, TensorFlow, JAX). * Experience working with cloud computing platforms (e.g., AWS, GCP, Azure) or Managed AI solutions (Together, Fireworks, BaseTen, etc.) and a solid understanding of cloud infrastructure concepts. * Exceptional communication skills, both written and verbal. You can explain complex technical concepts to a diverse audience in a clear and engaging manner. * You’re equally comfortable writing a whitepaper, recording a Loom explainer, drafting a tweet thread, or launching a developer newsletter. * Excellent presentation, interpersonal, and communication skills and experience making complex technical concepts accessible and understandable. * A genuine passion for building communities and helping developers solve problems. You’ve contributed to developer communities, organized events, or created programs that help technical audiences connect, learn, and build together. * A self-starter attitude with the ability to manage your own projects and priorities in a fast-paced environment. * Passion for learning and working with new technologies * Ability to travel up to 25%. Benefits: * Industry competitive pay * Restricted Stock Units in a fast growing, well-funded technology company * Health insurance package options that include HDHP and PPO, vision, and dental for you and your dependents * Employer contributions to HSA accounts * Paid Parental Leave * Paid life insurance, short-term and long-term disability * Teladoc * 401(k) with a 100% match up to 4% of salary * Generous paid time off and holiday schedule * Cell phone reimbursement * Tuition reimbursement * Subscription to the Calm app * MetLife Legal * Company paid commuter benefit; $300 per month Compensation Range Compensation will be paid in the range of up to $177,000 - $215,000 + Bonus. Restricted Stock Units are included in all offers. Compensation to be determined by the applicants knowledge, education, and abilities, as well as internal equity and alignment with market data. Crusoe is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation.

Job Description tl;dr: We're building a 3D first-person adventure game where an AI companion is the core of the game. Think MiSide with LLMs, but truly integrated with gameplay, not just a RP chatbot. About Us Here at Spellbrush, we're passionate about making a good anime game. We also happen to be the world's leading generative AI studio—we're the team behind niji・journey. Our mission is simple: use AI to bring characters to life and push the boundaries of narrative-driven games. What We’re Building We’ve developed an in-house LLM storytelling system that blends AI, story, and gameplay—going far beyond shallow “chat-only” experiences. The result is an AI companion who cooperates with you in puzzles, remembers across worlds, and changes how each chapter unfolds. We’re looking for a strong Unity engineer who loves 3D story-driven games. You’ll join our lead Unity dev, who has spent the past 5 years building interactive anime avatars, to grow our working prototype into a full game. In-game screenshots (development build) About The Role You will join a small but extremely talented team to define a new kind of video game experience. You'll work alongside top otaku minds in the industry, including the creator of Warudo and Cytoid, a Google Deepmind veteran behind Project Astra, and top-tier AI researchers. As an early member of this team, you will have significant artistic and research freedom to shape what could become the next-generation LLM-driven storytelling experience. Why You'll Love Working With Us Impact and Ownership: As an early team member, you'll have the opportunity to push the boundaries of what's possible at the intersection of the AI, anime, and video game industry. A World-Class Team: You'll work directly with some of the best AI researchers and engineers in the world in a small, mighty, and fast-paced team. Culture: We are seeking individuals who ideally are fans of anime and the anime aesthetic. We believe in the unmatched speed of in-person collaboration. International Opportunities: We have primary research offices in downtown Akihabara, Tokyo, and San Francisco. Visa sponsorships are available for qualified candidates. You may be a good fit if: You love anime and the anime aesthetic We are literally building an anime game, so this is a requirement! You have independently developed a 3D narrative game in Unity Bonus points if the game is first-person. You’re good at 3D character animation Bonus if you have used mocap and understand the mocap workflow at a studio. Bonus for having your assets on the Unity store. You're excited about the potential of Generative AI You'll also be working closely along some of the best AI researchers in the world. Part of working with our team may involve looking at our latest research results, and figuring out how to best apply it into our game. You will be at the literal cutting edge of what is possible with machine learning, art, and games. Having experience working with LLMs is a plus. You're comfortable working on small, fast-paced teams Working here will feel very much like a small indie studio: close-knit, with high ownership and flexibility. We also believe in the unmatched speed of in-person teams, and prefer on-site collaboration in either our primary research office in Tokyo (downtown Akihabara) or San Francisco. Visa sponsorships are available.

Job Description About Us Saildrone is a defense company delivering maritime intelligence, surveillance, and reconnaissance products to military, homeland security, and commercial customers. Saildrone unmanned surface vehicles (USVs) are extreme-endurance platforms equipped with advanced sensors and proprietary AI to provide persistent insights above and below the sea surface. Insights that support border security, law enforcement, undersea infrastructure protection, hydrography, and naval power applications. With more than 2,000,000 nautical miles sailed and 50,000 days at sea, Saildrone USVs are trusted by governments across the planet and set the standard for cost-efficient maritime intelligence in the world's harshest environments. We are based in Alameda, CA, with offices in Washington DC and St. Petersburg, FL, and operate missions worldwide. This is an exciting opportunity with a fast-growing team at the cutting-edge intersection of big data services, autonomy, and AI. You will be part of a high-performing, multidisciplinary team delivering data, intelligence, and firepower for strategic superiority. The Role We’re seeking a highly skilled and experienced Embedded Software Engineer who will lead our Embedded Systems team! You will split your time between hands-on development and leading a small engineering team to ensure successful execution of a roadmap in alignment with other software and firmware teams, hardware teams and business objectives. The scope of the Embedded Systems team encompasses: • Linux OS and driver code integration for core and payload computes on the drone What you’ll do The first few months in this role will be 100% as an IC, to enable developing familiarity with the stack and how we work. You'll then transition to roughly a 50/50 split between managing a small team and individual contributor work. • Work with your team and engineering leaders and other technical and non-technical stakeholders to develop a high quality on-board software stack., • Develop, review and ensure quality design of on-board software components that align to a consistent architectural approach., • Utilize your engineering management skills to plan and execute along a roadmap defined by business objectives and informed by rigorous engineering design., • Work with our technical program management team to align work to schedules and ensure delivery., • Communicate in a friendly, supportive manner with engineers or other stakeholders, ensuring alignment and advocating for effective solutions., • Engage with cross-functional teams of product managers, technical program managers, technical leads, hardware engineers, software engineers and infrastructure engineers., • Mentor and facilitate career development for individual contributors., • Work with engineering leadership to define and measure success of the vehicle systems software stack using rigorous key performance metrics., • Drive and support a culture of rigorous design and test around software features. Required Skills • 8+ years of experience in embedded software, • 1+ years people management experience, including technical team leadership, scheduling, and resource planning, • Board support package integration and bringup of new embedded Linux computers., • Experience with standards such as CAN or Ethernet, • Bash scripting, and Python or similar scripting, • Build automation and deployment experience, • Prefer Bachelor's or Master's degree in related field (Robotics, CS, EE, etc) Desired Skills • Hands-on experience with NXP i.MX8 family processors and Yocto, • Practical knowledge of video processing chips (Nvidia), • Familiarity with camera technologies and video processing systems, • Kernel module code integration, C debugging, • Camera or perception payload experience Physical Requirements • Work is performed on a computer and requires ability to operate a keyboard and other peripheral devices. Location: This position is hybrid in Alameda, CA (Onsite 3 days per week required). Our waterfront office offers beautiful views of San Francisco Bay in always sunny Alameda. All employees are required to provide proof of authorization to work in the U.S. within their first 3 days of work. Please note that the Company does not sponsor employees for work visas or permanent resident cards to work in the U.S. If you need sponsorship for a work visa or green card, you will not be qualified for employment with Saildrone. Benefits: • Paid time off, including vacation, bereavement, jury duty, sick time and parental leave, • Comprehensive and competitive medical, dental and vision plans, and HSA with employer matching., • Company sponsored life insurance, • Stock Options, • Annual stipend for continued learning and development, • Quarterly company BBQs at our Alameda HQ (bring your friends and family!), • Free Bay Area Public Transportation via AlamedaTMA with the BayPass Clipper Card, • Plenty of snacks in our 3 office locations, • Dog-friendly work environment A reasonable estimate of the current range is $189,000-$243,000 annually. Catch up on the latest news about us: The British Engineer Behind the US Navy’s High-tech Ocean Drones – The Times of London Denmark to Field Unmanned Vessels for Monitoring Busy Shipping Routes – Defense News Counter-drug Sea Drones Utilized by Navy as Trump Ramps Up Military Resources at the Border Saildrone, Palantir Partner to Use AI to Streamline USV Manufacturing, Operations – Breaking Defense An Underwater Mountain was Newly Discovered off California Coast – San Francisco Chronicle USVs Could Deter IUU Fishing – USNI Proceedings TIME 100 Most Influential Companies 2024: Saildrone Saildrone Featured Videos Playlist Individual compensation packages are based on geographic location, scope of the role, relevant experience, and the ability to deal with complexity and problem solve within our organization, among other factors. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Any unsolicited resumes/candidate profiles submitted through our website or to personal email accounts of employees of Saildrone are considered property of Saildrone and are not subject to payment of agency fees. #LI-Hybrid #LI-LP1

Job Description Software Engineer, Platform San Francisco or LA or Las Vegas Skillz is on a mission to bring out the best in everyone through competition. Building the future of entertainment, Skillz is accelerating the convergence of sports, video games and media for an exploding mobile-first audience worldwide. The company’s platform empowers mobile game developers and players with democratized access to fun, fair and skill-based competition for real prizes, shifting the paradigm to make competition accessible to anyone, anywhere with a mobile device. Skillz helps developers build multi-million dollar game franchises by turning content into competitive social gaming properties for the world’s 2.6 billion gamers. The company has already worked with 13,000 game developers, leveraging its patented technology to host over 800 million tournaments for 18 million players worldwide. Skillz has been recognized as one of Fast Company’s Most Innovative Companies and CNBC Disruptor 50 (for the second time). In 2018, Skillz was listed as one of Forbes’ Next Billion-Dollar Startups and Entrepreneur Magazine’s 100 Brilliant Companies. In 2017, Inc. Magazine ranked Skillz the No. 1 fastest-growing private company in America. The company is backed by leading venture capitalists, media companies, and professional sports luminaries, ranging from Liberty Global, Accomplice, Wildcat Capital, Telstra Ventures, and a founder of Great Hill Partners to the owners of the New England Patriots, Milwaukee Bucks, New York Mets, and Sacramento Kings. About Skillz: Skillz is the leading mobile games platform dedicated to bringing out the best in everyone through competition. As the first publicly-traded (NYSE: SKLZ) mobile esports platform, Skillz has pioneered the future of the gaming industry, by accelerating the convergence of sports, video games and media for an exploding mobile-first audience worldwide. The Skillz platform empowers developers to create multi-million dollar franchises by enabling social competition in their games. Leveraging its patented technology, Skillz hosts billions of casual esports tournaments for millions of mobile players worldwide, with the goal of building the home of competition for all. Skillz has earned recognition as one of Fast Company’s Best Workplaces for Innovators, CNBC’s Disruptor 50, Forbes’ Next Billion-Dollar Startups, Fast Company’s Most Innovative Companies, and the number-one fastest-growing company in America on the Inc. 5000. About the role: As a Software Engineer at Skillz, you’ll use your technical expertise to lead the development of complex, multi-disciplinary applications. From large-scale consumer facing applications, to entirely new technologies and products, Skillz’s Engineers support and power the platform that makes eSport to everyone possible. What you'll do: • Develop complex, highly available, distributed, cloud-based solutions, and maintain its high level of quality software, • Develop industry leading technology to enable competitions, tournaments, and social features for players, spectators and streamers around the world, • Consistently drives very high impact projects to completion that include components required by teams across the organization, • Collaborate with teammates who care about building great products as much as you do Qualifications • Professional Software Engineering Experience (5+ years) with background in object-oriented programming and experience with cloud providers (AWS, Azure, GCP, or other). Experience designing and optimizing MySQL or other RDBMS databases as well as nosql technologies., • Customer/Product focused thinking and understanding. Able to balance between correcting technology debt while still continuously delivering value to customers. Partnership mindset., • Problem solver who can adapt to changing business needs., • Demonstrates responsibility for the quality of your team's work, while nurturing this same value in their team., • Outstanding knowledge of public cloud providers and emerging service architectures., • Have the ability to work in a dynamic agile development environment, as members of the team play a role in the entire life cycle of development., • Understands and believes in our mission of making gaming better and eSports for everyone., • Be productive, generates results, not work. Skillz embraces diversity and is proud to be an equal opportunity employer. As part of our commitment to diversifying our workforce, we do not discriminate on the basis of age, race, sex, gender, gender identity, color, religion, national origin, sexual orientation, marital status, citizenship, veteran status, or disability status.

Job Description Founding Backend Engineer Full-time | Hybrid Compensation: $100K – $150K + 5–10% Equity About the Role We’re looking for a Founding Backend Engineer to architect and build the core infrastructure for AI-powered consumer products. You’ll design systems that take data from users’ devices, process it with AI models, and deliver personalized, intelligent experiences. This is a zero-to-one role where you’ll work closely with the founder and early team to define technical strategy, make architectural decisions, and build scalable systems. If you thrive in small teams, enjoy solving complex end-to-end problems, and want significant ownership in shaping both product and company direction, this role is for you. Tech stack: iOS, Swift, Apple Vision, CoreML, backend generalist, LLMs, photo/video processing, mobile-first systems What You’ll Do • Architect backend systems for mobile-first consumer AI products, • Build distributed systems and infrastructure to scale data processing and model serving, • Collaborate closely with the founder on technical strategy and product direction, • Experiment rapidly in a fast-paced, creative zero-to-one environment, • Play a foundational role in setting engineering culture, standards, and practices What We’re Looking For • Strong experience in backend development for consumer products, • Comfort with mobile-first infrastructure, distributed systems, and cloud environments, • Track record of shipping products in small teams or startups, • Entrepreneurial mindset — side projects, experiments, or previous founding experience a plus, • Excitement about building products that blend AI, media, and consumer experience Benefits • Competitive salary + significant equity stake (5–10%), • Hybrid flexibility with preference for California-based candidates (SF/LA/SD), • Travel to Los Angeles for in-person collaboration ~1 week per month (relocation optional), • High agency, creative, and collaborative team culture

Job DescriptionWho We Are: At TwelveLabs, we are pioneering the development of cutting-edge multimodal foundation models that have the ability to comprehend videos just like humans do. Our models have redefined the standards in video-language modeling, empowering us with more intuitive and far-reaching capabilities, and fundamentally transforming the way we interact with and analyze various forms of media. With a remarkable $107 million in Seed and Series A funding, our company is backed by top-tier venture capital firms such as NVIDIA’s NVentures, NEA, Radical Ventures, and Index Ventures, and prominent AI visionaries and founders such as Fei-Fei Li, Silvio Savarese, Alexandr Wang, and more. Headquartered in San Francisco, with an influential APAC presence in Seoul, our global footprint underscores our commitment to driving worldwide innovation. We are a global company that values the uniqueness of each person’s journey. It is the differences in our cultural, educational, and life experiences that allow us to constantly challenge the status quo. We are looking for individuals who are motivated by our mission and eager to make an impact as we push the bounds of technology to transform the world. Join us as we revolutionize video understanding and multimodal AI. About the Role As a Product Backend Engineer at TwelveLabs, you’ll architect scalable APIs and systems to power our AI video platform. You’ll collaborate with cross-functional teams to integrate video foundation models, optimizing for performance and adaptability in a dynamic startup environment. While this is a hybrid role based at our San Francisco headquarters, remote work is available for candidates currently residing in California or Washington State. Please note that remote employees will need to travel to the office for team meetups or other events as needed. In this role, you will * Design and implement scalable RESTful APIs adhering to OpenAPI specifications, powering features like video search, generation, and embedding, integrated with model inference pipelines. * Architect high-throughput, service-oriented backend systems to support enterprise-grade SaaS solutions for diverse customers, leveraging cloud-native tools (e.g., AWS, GCP, Azure). * Optimize performance and reliability of distributed systems, processing large-scale video data with low latency and high availability. * Collaborate with cross-functional teams (product managers, frontend engineers, AI/ML teams) to deliver end-to-end video solutions. * Apply video-specific technologies (e.g., encoding, transcoding, streaming, metadata extraction) to enhance product capabilities and meet strategic goals. You may be a good fit if you have: * Experience: 10+ years of backend engineering experience, with a proven track record of designing and delivering scalable web services and APIs. * API Expertise: Advanced proficiency in designing and implementing RESTful APIs, adhering to OpenAPI/Swagger specifications, with experience in modern frameworks (e.g., Go’s Gin or Echo, Spring Boot, or similar). * Technical Expertise: Deep expertise in service-oriented architecture (SOA), microservices, and distributed systems, with strong knowledge of scalable database design (e.g., relational, NoSQL) and effective use of event-driven architecture. * Cloud Proficiency: Extensive experience with cloud-native development and deployment on platforms like AWS, GCP, or Azure, leveraging tools such as Docker, Kubernetes, or serverless frameworks to ensure scalability and resilience. * Analytical & Collaborative Skills: Strong first-principles thinking to address complex technical challenges, combined with effective communication skills and a collaborative approach to working with cross-functional teams. Preferred Qualifications: * AI/ML Familiarity: Strong understanding of AI/ML concepts, particularly related to video analysis (e.g., object detection, motion tracking, or video summarization), and experience integrating backend systems with AI models or data pipelines. * Video Technology Experience: Hands-on knowledge of video-specific tools and frameworks (e.g., FFmpeg, AWS Media Services) to support video processing workflows. * Startup Agility: Experience thriving in fast-paced startup environments, with a demonstrated ability to adapt quickly and deliver results with agility * Go Proficiency: Proficiency with Go (Golang) and its ecosystem, aligning with team preferences. * DevOps Practices: Exposure to CI/CD pipelines and observability tools (e.g., Prometheus, Grafana) for building and monitoring scalable systems. Even if there are a few checkboxes that aren’t ticked through your prior experience, we still encourage you to apply! If you are a 0-1 achiever, a ferocious learner, and a kind and fun team player who motivates others, you will find a home at TwelveLabs. We are a global company that values the uniqueness of each person’s journey. It is the differences in our cultural, educational, and life experiences that allow us to constantly challenge the status quo. We are looking for individuals who are motivated by our mission and eager to make an impact as we push the bounds of technology to transform the world. Join us as we revolutionize video understanding and multimodal AI. Benefits and Perks 🤝 An open and inclusive culture and work environment. 🧑️‍💻 Work closely with a collaborative, mission-driven team on cutting-edge AI technology. 🦷 Full health, dental, and vision benefits. ✈️ Flexible PTO and parental leave policy. Office closed the week of Christmas and New Years. 🛂 VISA support (such as H1B and OPT transfer for US employees). Compensation Range: $170K - $190K

Job DescriptionFounding Backend Engineer- Generative AI Media San Francisco (Onsite, 5 days/week) Salary + Generous Equity US Citizens / Permanent Residents only (No visa sponsorship) The Opportunity Were partnering with a stealth AI video startup in San Francisco thats reimagining the future of media. Backed by top-tier VCs and led by a founder who built Instagram Stories, launched the Videos team at Facebook, and worked at NVIDIA, this company is pioneering Generative Television (GTV) a product that learns what people love to watch and automatically creates new, personalized content for them. This is a rare chance to join a small founding team (currently <10 people), build the backend systems powering a new category of consumer media, and own meaningful equity in a company already generating demand from paying customers. What Youll Do As a Backend Engineer, youll be at the core of building the technical foundation of GTV: * Architect and scale backend systems powering generative video workflows. * Collaborate with researchers, engineers, and designers to bring new features and APIs to life. * Build core infrastructure for custom models, agentic workflows, and reinforcement learning loops. * Drive reliability and efficiency of distributed systems with automated testing, benchmarking, and observability. * Help shape technical strategy in a fast-moving, founder-led startup. Tech Stack Python, TypeScript, FastAPI, AWS, Cloudflare, PostgreSQL, Redis, Docker Ideal Background Were looking for builders with 35+ years of backend engineering experience and at least one marker of excellence (e.g., notable company, successful exit, or startup with real traction). Must-haves: * Proven experience building scalable backend systems. * Strong proficiency in Python. * Hands-on with AWS (S3, Lambda, RDS, SQS, ECS), FastAPI, Docker, and CI/CD pipelines. * Experience working in a fast-paced startup environment. * Excellent written and verbal communication skills. * Comfortable being onsite in SoMa, San Francisco. Nice-to-haves: * Experience with video technologies (generation, encoding, playback, distribution). * Familiarity with generative AI and consumer-facing products. * Strong internships or degree from top CS programs (e.g., Waterloo, Stanford, MIT). Traits that fit well: * Hungry, ambitious, ready to grind in a startup. * Thrives in small, high-intensity teams. * Comfortable with rapid iteration and shipping. Traits to avoid: * Candidates solely from Big Tech who want management roles. * New grads or candidates prioritizing work-life balance over impact. Why Join * Massive impact: Build the future of generative media from the ground up. * Compensation upside: Generous Salary + equity. * Visionary leadership: Work with a founder who has already reshaped how billions consume video. * Top-tier backing: $8M raised from Khosla Ventures, Air Street Capital, and leading AI angels (DeepMind, etc.). * In-person culture: Join a small, close-knit team in a high-energy office environment (dog-friendly ). This role is ideal for ambitious engineers who want to go all-in on a startup building the next wave of consumer media. APPLY NOW!! or DM to find out more

Job DescriptionJob Title: Sr. Full Stack Engineer Salary: $200K - $275K + EquityLocation: San Francisco, CA (near Jackson Square) Based in San Francisco, we’re building a new medium for communication - one that allows people to interact directly with digital minds that capture voice, perspective, and expertise. Instead of passive feeds or static profiles, we’re creating an interactive layer of identity where others can experience how you think, not just what you write.We’ve already seen strong traction! We've tripled our users, interactions, and revenue in the past six months purely through word of mouth, and we’re scaling quickly. Backed by top-tier investors, and advised by some of the most recognized voices in technology, media, and culture, we’re looking for engineers who thrive in early-stage environments, and enjoy owning projects from concept to launch. This role is highly product-oriented: you’ll design, build, and deploy new experiences across our digital mind studio, interactive features (text, voice, and video), and discovery platforms.What You'll Do: • Drive key product initiatives end-to-end, from idea through architecture and deployment., • Build scalable systems with Next.js, Python, and AWS, ensuring seamless and reliable performance for a fast-growing user base., • Design resilient system architecture, including versioned APIs, caching, queues, and self-healing patterns., • Contribute to frontend React experiences while leading on backend design and infrastructure., • Integrate large language models (LLMs) via API, optimizing for user experience and performance., • Collaborate with a small, senior team to ship ambitious features quickly.What You'll Bring:, • Bachelor's or Master's degree preferred, • 5 - 8+ years of experience in full stack development, with a strong backend foundation, • Strong expertise in TypeScript / Next.js and Python, • Strong background in SQL, database design, cloud infrastructure, and containerization, • Experience designing scalable, resilient systems (APIs, caching, distributed architecture)Nice to have:, • Hands-on experience integrating LLMs via APIs, • A track record of building and launching products, ideally in startup or early-stage settings, • Background as a founding engineer or early technical hire, • Familiarity with prompt engineering and fine-tuning LLMs, • Work that demonstrates an eye for user empathy and experience designIf this sounds like you, and you're looking to join a thriving start-up that is scaling quickly, apply today!

Job Description Job Summary The Senior Embedded Networking Engineer is the technical expert to the Tech Ops team through the lifecycle of a project. This role will design and implement cutting edge networks, using Cisco, ACI, SDN and more. They are accountable to ensure a project is executed with excellence as well as meets all design requirements laid out in the scope of work. This position will be responsible for the design, configuration, and deployment of networks for audio video and telecommunications systems in commercial environments. They will be the subject matter expert in data network support for the technical operations team. Additionally, this position will provide new network designs for office build-outs in new locations. This position is an embedded role, working for AVDG, but being based at another company 5 days a week. THIS IS A 6 MONTH CONTRACT ROLE ONSITE MONDAY - FRIDAY - 40 HOURS PER WEEK Minimum Experience Requirements: • BS/BA information technology, computer systems engineering, or related field, • At least 5+ years of recent experience in Networking and AV integration and support with Cisco, IOS/NX-OS experience, • Experience with Cisco ACI,SD-WAN and layer 4/7 firewalls., • Cisco certifications (CCDA/CCDP, CCNA/CCNP routing and switching, CCNA/CCNP security) preferred, • Experienced with Cisco firepower, ASA, VPN, BGP, OSPF, MPLS, QOS., • Expert knowledge of network technologies including WAN, LAN, Firewalls, Load Balancers, L3 Routing and L2 Switching., • Must versed in best practices for installation and termination of layer 1 network devices (per BICSI, AVIXA, etc.), • Must be able to interpret and mark up construction and technical drawings, • Experience working with clients in a professional manner, • Must be able to effectively explain technical concepts to non-technical users, • Highly skilled in oral and written communication clear, direct, detailed., • Independent work ethic highly motivated to getting a job done right, • Monitor, maintain and design networks, configure and implement SDN fabric overlays using Cisco ACI., • Cisco background, strictly network support, firewall., • Configure layer 4/7 firewalls and application load balancers., • Collaborate with audit teams to ensure compliance, • Troubleshoot and maintain cisco routers, switches (ASR, ISR, 9k,5k,3k,2k) and network security infrastructure, • Be the technical expert in the quality control process of each project as it relates to data networking., • Interface & maintain ongoing dialogue with engineers, project management and clients as to project timelines, challenges, and training., • Direct technical teams on installation best practices. Work Location: In person

Job Description We are Genmo, a research lab dedicated to building open, state-of-the-art models for video generation towards unlocking the right brain of AGI. Join us in shaping the future of AI and pushing the boundaries of what's possible in video generation. The role: As a Senior Front End Engineer, you will design new user experiences powered by our visual foundation models. The ideal candidate will work full-stack, across frontend and backend, to enable our users to access the power of our models through intuitive interfaces. We’re looking for people with a passion for AI and a desire to build the future of creativity. We use a modern tech stack including Next.js (React), Tailwind CSS, Vitess/MySQL and serverless computing. Responsibilities: * Develop and implement highly responsive user interface components using React and Tailwind CSS. * Use your backend development skills to build secure, scalable and efficient server-side applications. * Work closely with the research team to integrate new models into our platform and develop new user-facing features powered by these models. * Move quickly to build and iterate on new features and experiments. Qualifications: * 5+ years of hands-on experience in full stack development. * Strong proficiency with HTML/CSS, Javascript and Next.js (React), SvelteKit or Remix. * The will to work in an agile and fast-paced environment * A strong passion for artificial intelligence and the drive to learn new technologies. Bonus points: * Experience with Next.js and Tailwind CSS. * Experience with serverless architectures. * Experience working with a cloud technology stack (AWS, GCP, Kubernetes) * Experience working with ML models and especially generative models (LLMs, GANs, Diffusion models, etc.) Additional information The role is based in the Bay Area (San Francisco). Candidates are expected to be located near the Bay Area or open to relocation. Genmo is an Equal Opportunity Employer. Candidates are evaluated without regard to age, race, color, religion, sex, disability, national origin, sexual orientation, veteran status, or any other characteristic protected by federal or state law. Genmo, Inc. is an E-Verify company and you may review the Notice of E-Verify Participation and the Right to Work posters in English and Spanish.

Job Description Founding Full Stack Engineer × Hypesonic (San Francisco - On-Site) Hypesonic is building the AI Copilot for Growth and Marketing. Our AI platform determines how to engineer growth building "the Cursor for Growth". We analyze every possible growth channel and make it simple to easily scale channels up. From mining massive datasets, extracting cultural signals, and autonomously creating self-improving content using the latest AI that spreads across paid ads and organic. We help top brands and high-growth startups quantitatively dominate with speed and precision. We've raised a $3M seed round from a Tier 1 VC Fund (Accel Partners) with offers received from Greylock, Sequoia, General Catalyst and Bain Capital Ventures. We have paying customers who are already using and getting value from our platform. You'll be scaling a proven solution. If you want to own the technology behind the company that autonomously drives growth, one that controls the flow of information, drives demand, and creates attention for things on a global scale, let’s talk. What You’ll Do * Build the Full-Stack Site Where the AI Agents Live: Design, develop, and deploy a full stack application that perform end-to-end marketing tasks. This includes agents for market research, creative strategy, automated video editing from scripts, and influencer research + outreach. * Architect the Agent Operating System: Create the core infrastructure that enables our AI agents to collaborate, operate reliably, and scale. You'll build the systems for task orchestration, data flow between agents, and human-in-the-loop feedback. * Engineer the Creative Engine: Develop the full-stack applications and generative pipelines that allow our agents to create novel content, from writing scripts to editing and producing final video assets. * Ship Foundational Products: You will own features from 0 to 1 in a greenfield environment. You'll be launching core capabilities that directly empower our agents and deliver immediate value to our customers. * Shape the Technical Vision: Partner directly to make key architectural decisions, define the product roadmap, and establish a culture of engineering excellence from day one. What We’re Looking For * You have 3-5+ years of experience building full-stack software products and are excited by the challenge of building something that has never existed before. * Our stack is: Next.js, Node.js, Python, React, TypeScript, PostgreSQL * You write clean, scalable code in TypeScript (React) and Python and are comfortable building and managing infrastructure on AWS. * You have experience or a deep intellectual curiosity in building AI-driven systems, multi-agent workflows, or platforms that automate complex human tasks. Experience with LLMs, generative AI, or agentic frameworks is a huge plus. * You're inherently curious about how influence works, what makes content go viral, and how creative ideas spread online. * You’re interested in working hard and achieving greatness. * You have a bias for action and rapid iteration. You enjoy working in a fast-paced environment where you can have a direct impact and see your work go live quickly.

Job Description We are Genmo, a research lab dedicated to building open, state-of-the-art models for video generation towards unlocking the right brain of AGI. Join us in shaping the future of AI and pushing the boundaries of what's possible in video generation. The role: As a Product Engineer, you will design new user experiences powered by our visual foundation models. The ideal candidate will work full-stack, across frontend and backend, to enable our users to access the power of our models through intuitive interfaces. We’re looking for people with a passion for AI and a desire to build the future of creativity. We use a modern tech stack including Next.js (React), Tailwind CSS, Vitess/MySQL and serverless computing. Responsibilities: * Develop and implement highly responsive user interface components using React and Tailwind CSS. * Use your backend development skills to build secure, scalable and efficient server-side applications. * Work closely with the research team to integrate new models into our platform and develop new user-facing features powered by these models. * Move quickly to build and iterate on new features and experiments. Qualifications: * 3+ years of hands-on experience in full stack development. * Strong proficiency with HTML/CSS, Javascript and Next.js (React), SvelteKit or Remix. * Strong passion for craft and polish in design. * The will to work in an agile and fast-paced environment * A strong passion for artificial intelligence and the drive to learn new technologies. Bonus points: * Experience with Next.js and Tailwind CSS. * Experience with serverless architectures. * Experience working with a cloud technology stack (AWS, GCP, Kubernetes) * Experience working with ML models and especially generative models (LLMs, GANs, Diffusion models, etc.) Additional information The role is based in the Bay Area (San Francisco). Candidates are expected to be located near the Bay Area or open to relocation. Genmo is an Equal Opportunity Employer. Candidates are evaluated without regard to age, race, color, religion, sex, disability, national origin, sexual orientation, veteran status, or any other characteristic protected by federal or state law. Genmo, Inc. is an E-Verify company and you may review the Notice of E-Verify Participation and the Right to Work posters in English and Spanish.

Job DescriptionAbout Taskrabbit: Taskrabbit is a marketplace platform that conveniently connects people with Taskers to handle everyday home to-do's, such as furniture assembly, handyman work, moving help, and much more. At Taskrabbit, we want to transform lives one task at a time. As a company we celebrate innovation, inclusion and hard work. Our culture is collaborative, pragmatic, and fast-paced. We're looking for talented, entrepreneurially minded and data-driven people who also have a passion for helping people do what they love. Together with IKEA, we're creating more opportunities for people to earn a consistent, meaningful income on their own terms by building lasting relationships with clients in communities around the world. • Taskrabbit is a hybrid company with employees distributed across the US and EU, • Built In — Best Places to Work (2022, 2023, 2024) Continually ranked across multiple national and regional categories., • DataBird Journal — Workplace Diversity & Inclusion Awards, • #1 Best Companies for Diversity in 2019 & 2020, • #4 (2019) → #1 (2020) Best Companies for Women Join us at Taskrabbit, where your work will be meaningful, your ideas valued, and your potential unleashed!. This role will be fully remote through August 2025 with the expectation that employees will begin working Hybrid 2 days per week in our dedicated office space in either San Francisco or New York City starting in September of 2025. About the Role: The Developer Excellence (DevEx) team at TaskRabbit is dedicated to empowering our developers by building tools, services, and foundational architecture that enhance their efficiency, productivity, and ability to ship high-quality code rapidly. Our team governs, architects, and develops solutions for writing, testing, and debugging code, as well as owning many core aspects of platform architecture. We thrive in a fast-paced, iterative environment where shipping new code daily is part of our DNA. As a Backend Engineer on the DevEx team, you will play a key role in enabling the efficiency of domain owners by establishing robust tools and TTPs (Techniques, Tactics, and Protocols). We serve as coaches, consultants, and supporters for every domain team, contributing to their initial domain inception, setting clear expectations for success, and fostering consistency in engineering practices. Through these efforts, we help teams modernize the platform and achieve engineering excellence. Your decisions will significantly impact the tools, patterns, and conventions that define engineering practices at TaskRabbit. Join us in creating a better everyday life for everyday people. You will be: • Designing and driving impactful changes that boost the productivity of engineers across the organization., • Mentoring and collaborating with junior engineers, guiding them through design decisions, code implementation, and breaking down goals into actionable steps., • Publishing and promoting Techniques, Tactics, and Protocols (TTPs) that support platform modernization and drive engineering excellence., • Innovating and contributing to the technical roadmap, ensuring continuous improvements, enhancements, and updates., • Participating in code reviews, offering constructive feedback and learning from others' approaches., • Documenting best practices and coding patterns, ensuring they are accessible and actionable for the team., • Collaborating across teams to promote consistency and alignment in engineering practices., • Improving developer workflows and platform reliability by identifying pain points and delivering creative, impactful solutions.You should have:, • Overall, 5+ years of experience in software development., • Deep Experience in Ruby on Rails., • Proficiency in modern web technologies such as Node.js, JavaScript, TypeScript, and React is highly desirable for this role., • Experience in building API-driven applications or endpoints., • Experience in MySQL, Redis, and/or ElasticSearch., • Strong hands-on experience with Kubernetess, including designing, deploying, and managing applications, troubleshooting complex issues, optimizing application performance, and contributing to developer-centric tooling built on Kubernetes., • Experience in building developer platforms, defining the strategy, and providing technical direction to the group to get those executed., • Strong design and architecture skills, • Experience with software engineering best practices (e.g. unit testing, code reviews, design documentation), • Passion for improving the developer experience and mentorship., • An interest in thinking about how to break problems down into smaller iterative steps.You might be a fit if you have:, • Strong written and verbal communication skills., • Expertise in helping organize and scope high-priority projects and plans to keep us moving forward., • Great attention to detail and quality., • Experience building CI/CD pipelines (e.g. GitHub Actions, CircleCI), • Experience with Infrastructure as Code (e.g. Terraform, Ansible), • A desire to collaborate together with a tight-knit team. Compensation & Benefits: At Taskrabbit, our approach to compensation is designed to be competitive, transparent and equitable. total compensation consists of base pay + bonus + benefits + perks. The base pay range for this position is $115,000 - $160,000. This range is representative of base pay only, and does not include any other total cash compensation amounts, such as company bonus or benefits. Final offer amounts may vary from the amounts listed above, and will be determined by factors including, but not limited to, relevant experience, qualifications, geography, and level. You'll love working here because: • Taskrabbit is a Hybrid Company. We value flexibility and choice but also stay committed to regular in-person connection., • The People. You will be surrounded by some of the most talented, supportive, smart, and kind leaders and teams -- people you can be proud to work with!, • The Diverse Culture. We believe that we make better decisions when our workforce reflects the diversity of the communities in which we operate. Women make up half of our leadership team and our diversity representation is above that of the tech industry average. Taskrabbit is an equal opportunity employer and values diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, ancestry, citizenship, sex, gender, gender identity, sexual orientation, age, marital status, military/veteran status, or disability status. Taskrabbit is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities. Taskrabbit will consider for employment all qualified applicants with criminal histories in a manner consistent with applicable law. Taskrabbit will never use text or chat applications to conduct interviews. We have a thoughtful and interactive interview process that includes an initial recruiter phone screen and several video-based interviews with our hiring teams. Communications will always be conducted by taskrabbit.com domain names.

Job Description Perplexity is an AI-powered answer engine founded in December 2022 and growing rapidly as one of the world's leading AI platforms. Perplexity has raised over $1B in venture investment from some of the world's most visionary and successful leaders, including Elad Gil, Daniel Gross, Jeff Bezos, Accel, IVP, NEA, NVIDIA, Samsung, and many more. Our objective is to build accurate, trustworthy AI that powers decision-making for people and assistive AI wherever decisions are being made. Throughout human history, change and innovation have always been driven by curious people. Today, curious people use Perplexity to answer more than 780 million queries every month–a number that's growing rapidly for one simple reason: everyone can be curious. Perplexity is seeking an experienced Full Stack Engineer to help revolutionize the way people search and interact online. In this role, you'll translate cutting-edge AI advances into products that are both useful and engaging. Tech Stack: TypeScript | Python | Docker | AWS | Vercel Teams Currently Hiring Enterprise The Enterprise Team at Perplexity designs and builds core platform features like rich file attachments, secure file and app connectors (using cutting-edge Model Context Protocol), and Spaces for streamlined collaboration—capabilities widely used by both enterprise and regular users. The team owns uniquely challenging domains at the intersection of AI, automation, and knowledge management, directly shaping how millions of people work with private data, files, and productivity apps across Perplexity. Their small, expert group operates with high autonomy, developing systems that set industry standards and deliver massive, visible product impact. Growth The Growth team shapes how millions of people experience Perplexity. We rapidly experiment and launch new ideas across all user-facing surfaces at Perplexity including onboarding, verticals like Students, and premium Max Tier. We build AI-powered features such as personalized prompts, auto-generated study guides, and contextual upsell nudges, driving user activation, retention, and revenue across all platforms. We own Perplexity's growth platform, including experimentation framework, feature flagging, and notifications, to mobilize impactful feature development across the company. Engineers have outsized impact, building both the product and the platform that power our company's growth. Billing The Billing team powers how users subscribe to and pay for Perplexity, building seamless subscription experiences across all tiers. We partner with business and finance teams to define new pricing and subscription models, while also driving growth through partner integrations that expand distribution and brand presence. We develop and maintain secure, scalable systems—including agentic payments that autonomously interact with payment platforms—ensuring reliable financial transactions for millions of users worldwide. By shaping both user experience and revenue infrastructure, the Billing team sits at the core of Perplexity's growth and sustainability. Consumer Verticals With AI-powered exploration and browsing, personalization and memory, live data visualization, comparison, and checkout, Perplexity is reimagining the consumer experience across verticals such as travel, shopping, health, real estate, finance, sports, live events and ticketing, and more. Each of these verticals represents an opportunity for Perplexity to disrupt massive markets dominated by slower-moving incumbents. Agentic actions powered by Comet unlock novel consumer experiences such as automated shopping and travel purchases, restaurant reservations, complete travel itineraries planned and booked from scratch, automated investing, and more. Special Projects Special Projects is a team dedicated to building 0-1 products that redefine the future of search. Our mandate is to iterate fast, deliver high quality experiences, and reinvent the role of AI in search, social media, and personal computing.By joining the Special Projects team, you will be given extreme ownership to deliver new consumer experiences and transform how people search the web and find answers. You will be expected to own projects end to end, to ship fast, and work through obstacles.We are looking for a talented Full Stack Engineer to join our team to help reinvent the future of search and AI assistants. Our current stack is Python, Docker, Kubernetes, NextJS, and React. In this role, you'll work on various projects that combine bleeding edge AI, consumer apps, and multi-modal capabilities (text, voice, image, video). Responsibilities • Building new 0-1 products at high scale, • Working closely with Product, Design, and Data to ship experiments and learn, • Launching new features, experiments, campaigns, and partnerships in a fast-moving environment, • Building core growth infrastructure such as notification platforms, ad attribution, and more, • Analyzing performance metrics and user feedback to identify opportunities for improvement and optimization, • Building delightful and data-proven user journeysQualifications, • Strong programming skills with the ability to work across the full stack, • Self-motivated with a willingness to take ownership of tasks, • Good quantitative understanding of data and experimentation, • Experience making data-driven decisions and measuring impact of those decisions (experimentation, feature flags, adhoc analysis), • A passion for shipping quality products

Job Description Who We Are At TwelveLabs, we are pioneering the development of frontier multimodal foundation models that can see, hear and understand the world as humans do. Our models have redefined the standards in video-language modeling, allowing developers to build programs with state-of-the-art semantic search, summarization and analysis capabilities. TwelveLabs has raised $107 million in Seed + Series A funding from world-class VC & corporate partners: NVIDIA, NEA, Radical Ventures, Index Ventures, Snowflake and Databricks. Our advisory team features AI visionaries and founders such as Fei-Fei Li, Silvio Savarese, Alexandr Wang and more. Headquartered in San Francisco, with an influential APAC presence in Seoul, our global footprint underscores our commitment to driving worldwide innovation. About The Role As a Software Engineer, Machine Learning at TwelveLabs, you will drive our ML systems + platform engineering efforts in all facets of our e2e ML & engineering workflows. Delivering highly reliable, low latency, high throughput services is the essence of the role. This role is a perfect fit for experienced engineers with some past machine learning experience who want to go deep on unsolved problems in multimodal AI systems, orchestration, operations, and deployment. In This Role, You Will: * Advance our industry-leading enterprise video solutions by incorporating already-great research into fault tolerant, low latency systems * Craft performant APIs using modern Python tools * Build the highest impact, not the flashiest, libraries and services * Mentor junior engineers/researchers, and hold a high bar around code quality / engineering best practices * Lead by example in interviewing, hiring, and onboarding passionate and empathetic engineers You May Be A Good Fit If You Have: * 6+ years of relevant industry experience * Designed production services using Python, Postgres, FastAPI, SQLAlchemy, Pydantic (and friends) * Demonstrated experience as a technical lead to deliver projects end to end * Exposure to machine learning models in production environments (e.g. deployment, serving, lifecycle management, monitoring) Strong Candidates May Also Have Experience: * Scaling ML systems and/or data infrastructure to workloads of petabyte+ scale * Building Kubernetes-based systems for distributed data/ML workflows Interview Process 1. Recruiter Phone Screen, 2. Initial Technical Assessment, 3. Hiring Manager Interview, 4. Onsite Technical Interview [In-Person], 5. Final Interview: Culture Even if there are a few checkboxes that aren’t ticked through your prior experience, we still encourage you to apply! If you are a 0-1 achiever, a ferocious learner, and a kind and fun team player who motivates others, you will find a home at TwelveLabs. We are a global company that values the uniqueness of each person’s journey. It is the differences in our cultural, educational, and life experiences that allow us to constantly challenge the status quo. We are looking for individuals who are motivated by our mission and eager to make an impact as we push the bounds of technology to transform the world. Join us as we revolutionize video understanding and multimodal AI. Benefits and Perks 🤝 An open and inclusive culture and work environment. 🧑️‍💻 Work closely with a collaborative, mission-driven team on cutting-edge AI technology. 🦷 Full health, dental, and vision benefits. ✈️ Flexible PTO and parental leave policy. Office closed the week of Christmas and New Years. 🛂 VISA support (such as H1B and OPT transfer for US employees). Compensation Range: $225K - $325K

Job Description:\n\nHi 👋🏾 I’m Abhik, Ashby's Co-Founder and VP of Engineering. We’re looking for a versatile, persistent product engineer who’s not afraid to set up reusable building blocks across the stack and advocate for the time and space to do so. At Ashby, all our engineers ship features end-to-end at a high pace. Example is the best leadership. We’ll give you the room to do your best work, and you'll be our guide! If that speaks to you, read on. What Ashby gives you in return is the best of both early and growth-stage environments. The agency and no-nonsense of a seed startup: you write product specs, make product and design decisions, and build in an almost-no-meeting culture. While also the product-market fit and scale of a growth-stage startup: tens of thousands of daily users who depend on your software and eagerly await your next feature. We have notable customers like Notion, Linear, Shopify, and Snowflake. Our growth and retention metrics are best-in-class among our peers: we have tens of millions in ARR, growing >100% year over year, very low churn, and many years of runway. We’ll share more details once we meet. You’ve probably seen this role posted before, and it’s because we’re always expanding the team (we’re on track to double this year). We’re bubbling with ideas on how to support Talent Acquisition through software, and we’ve started the journey of building products beyond Talent Acquisition. We read every application and aim to respond to yours within 3-4 days (often sooner). About the Role and How We Work Our engineering culture strives to recreate the environments where we did our best work as ICs – where we had the ownership and agency to impact our users with creative and innovative software. I started my career building software for artists in the Visual Effects industry. It was a formative experience for me as a software engineer because success relied on my ability to be a product manager and designer. I talked to artists to understand their needs. I came up with ideas. I did industry research, designed interfaces, and prototyped ideas. I watched artists use what I built and decided what to tackle in the next iteration. No daily stand-ups, no t-shirt sizing, no planning meetings. I studied computer science to solve problems, not tickets, and this felt exactly like that. I not only felt creative and fulfilled but the agency and ownership we were given as engineers powered an incredible amount of innovation. Innovation came differently (or not at all) at technology startups beyond the seed stage, often through an engineer’s force of will and ability to push back against culture (rather than any encouragement from it). Engineering was narrowed to implementation and delivery, partly due to the influence of other departments and partly due to the influx of "Agile" processes like sprint planning. In those companies, I felt like a JIRA jockey. At Ashby, we’re building an environment that is optimistic about what engineers can own and achieve. An environment that embraces innovative engineers, and, frankly, often stays out of their way. As a Product Engineer, you’ll take ownership over a large portion of one of our products and own projects end-to-end (wearing hats traditionally worn by product and design). You’ll research competitors, write product specs, make wireframes, and more. To ground it with examples, product engineers at Ashby have: Designed and built automated interview scheduling. This feature automates scheduling by calculating possible times from a pool of interviewers and other constraints, and then presenting these times to the candidate for selection via our responsive web app. This solves the “Calendar Tetris” problem I talk about in "What We're Building." Built a generalized declarative filter architecture that allows users to create complex filters for any record with a consistent UI and compile it to SQL in our backend. Many user-facing features use it. Specced, designed, and implemented a feature that allows users to complete signing offers entirely within Ashby. This project involved talking to customers to understand their requirements, deciding what technologies to use, building a prototype, and working with other team members to integrate the final implementation into additional features. What We’re Building As engineers, we are used to tooling that makes us better at what we do. When we started Ashby, we saw the opposite with Talent Acquisition software. Recruiting teams were leveling up how they did their work, but instead of software meeting this new standard, it held them back. Scheduling a final round is an excellent example. Recruiting teams wanted to schedule candidates faster, track interviewer preparation and quality, and do it with half the headcount. A recruiter needed to manually collect availability from the candidate, identify qualified interviewers, perform “Calendar Tetris” to find who is available to interview the candidate, schedule on the earliest date possible, and make any last-minute adjustments as availability changed. They must do this while considering the interview load on each individual and whether interviewers need to be trained and shadowing others. 🥵 TA software didn’t help. As hiring managers, we know TA is a critical function, and as engineers, we know software can do better. So, we built and continue to build Ashby to give TA teams the highest standard of tooling. Software that’s intelligent and powerful. Software that provides insights into where they’re failing and automates or simplifies many of the tasks they’re underwater with. We want other functions and departments to be jealous of what TA teams can do with Ashby, and today they often are! Why You Should or Shouldn’t Apply Software engineers come in many flavors, not all of which fit our model. Here are some things to help you decide if this fits you and what you’re looking for: You’re not afraid to tackle any part of a technology stack. You do what’s necessary to successfully deliver a feature, whether writing frontend or choosing new infrastructure. We’ll provide a supportive environment to do it successfully (e.g., design system, SRE team). You’ve tackled projects with a lot of product and technical ambiguity, and you thrive at the intersection of the two. We’re not building a simple CRUD app, and many of the challenges we tackle require you to use your knowledge of our customers to build powerful abstractions and flexibility in the system to solve a class of problems. You know how to strike the right balance between speed and quality. Ashby wasn’t built quickly. We took four years to launch publicly because convincing customers to switch required a high-quality product. However, time isn’t infinite, especially for a startup, so we still move with urgency—we’ve built the equivalent of three or more VC-backed startups with a very small team. You are ambitious and always looking to improve your skills. For most engineers, this role will give you more freedom and responsibilities than you’ve experienced in the past. To thrive (and level up), you’ll need to be open to feedback (and we give lots of it). You’re an excellent collaborator and communicator. Ownership and freedom don’t mean you work in a vacuum. You’ll need to vet your decisions with the appropriate stakeholders, keep them up to date when necessary, and work with other engineers to get your projects across the finish line. Clear and concise communication helps a lot here! You seek to create leverage in your work. The nature of software is that you can often automate or abstract what would be tedious, time-consuming work. Your impatience usually leads to new abstractions, tools to allow Support to debug before Engineering, new lint rules to prevent common bugs, etc. Put another way, you shouldn’t apply if: To you, a tech lead, staff, or principal engineer is someone who spends most of their time project managing or doing architecture reviews. Our most tenured engineers spend most of their time building, and we often trust them with our most challenging problems. While they lead product and technical areas and help other engineers plan their most challenging work, it’s not a requirement, nor do engineers need their sign-off. You need company-driven process and structure to get your projects across the finish line. Sprint planning and well-defined project management processes are things you need or look to others to lead. You’d rather focus on the technical details and challenges. You only want to do exciting work. We’re building a team of kind, collaborative folks. Customer issues and investigations are distributed across the team, including our high-level ICs. You can get lost in the details. Once you start implementation, it can be hard to take a step back and think about the project as a whole. You like everything to be planned upfront. You haven’t led or taken ownership of projects before. You’re used to working with tech leads and taking on tasks distributed by them. You want to mentor earlier-career engineers. We rely on engineers owning their projects, so we need engineers with that experience. This requires the team to be reasonably tenured. More than 90% of the team would be considered Senior or above in the industry today, so mentorship opportunities are very limited. Engineering Culture Our engineering culture is motivated by Benji’s (my Co-founder and CEO) and my belief that a small, talented team, given the right environment, can build high-quality software fast (and work regular hours!). We do it through: Minimal process with ownership over decisions normally made by product and design Natural collaboration and deliberate communication Investing in tools and abstractions that give us leverage Putting effort into building a diverse team Minimal Process & Lots of Ownership The best engineers we’ve worked with delivered reliably magical outcomes. They took customer problems and relentlessly drove them to solutions that were not only successful but often brilliant and creative. While they did this with minimal oversight, stakeholders were never in the dark as to what was going on, and no setback was a surprise. Traditional product-development processes aren’t meant for the best engineers. Their purpose is to create consistent outcomes regardless of the engineer’s skill. But, consistency comes at the expense of an engineer’s time and freedom—both ingredients necessary to generate those magical outcomes. As a result, process stifles the best engineers and doesn’t give others the opportunity to practice the behaviors that made the best engineers the “best.” At Ashby, we want to build an environment that encourages every engineer to be their best. So, at Ashby, every Engineer runs their project. Product Managers (and Designers) build strategy, do customer research, and hand off problem briefs to Engineers. Engineers take on the rest: they research the problem, write product specs, build wireframes, and implement their solution end-to-end. We rely on engineers, not process, to push information outward to the relevant folks (e.g., Product Managers) and pull folks in to help (e.g., Designers, Infra). It’s a new level of ownership for many engineers, but we’d rather an engineer fail a bit and coach up their skills than use process as a crutch. Not everyone succeeds in our culture, but those who do thrive. Collaboration is Natural & Communication is Deliberate Our engineering team consists of lifelong learners who are talented but also humble and kind (meet them here!). These attributes create an environment where collaboration happens naturally. We combine this with research, prototyping, and written proposals to see around corners and get feedback from the team across time zones. Focus time is something that we hold sacred, and, with thoughtful and deliberate communication, engineers are in <2h meetings per week (I wrote about it here). To drive it home, here's a recent calendar of an engineer who has been with us for over 4 years: We also meet in person at least twice a year, once as a department and once as a company. You also have a small budget to meet up with folks in your city/region. Increase Leverage, not Team Size We built Ashby with the quality, breadth, and depth that many customers would expect from much larger teams over larger time scales. We’ve done this through investment in: Great developer tooling. Our CI/CD takes ~10m, and we deploy at least 15x a day. A debugger that works out of the box. Everyone on the team has contributed to our developer experience 💪🏾. Building blocks to create powerful and customizable products fast. At the core of Ashby is a set of common components (analytics modeling and query language, policy engine, workflow engine, design system) that we constantly improve. Each improvement to a common component cascades throughout our app (short video below). Here’s an impromptu quote from Arjun in our company Slack of what it’s like to build a feature at Ashby: And a demo of one of these building blocks: Put Effort into Diversity Diverse teams drive innovation and better outcomes. Having seen my mother and partner build their careers as minority women in non-diverse fields, I want to make sure Ashby creates opportunities for the next generation of engineers from underrepresented groups. Today, 21% of engineers at Ashby are from underrepresented groups. It’s not great, and we are taking conscious steps to improve, like sourcing diverse candidates, providing generous paid family leave, no leetcode interviews, and more. Interview Process At Ashby, our team and interview process want to help you show your best self. We’ll dive into past projects and simulate working together via pair programming, writing product and tech specs collaboratively, and talking through decisions. There are no leetcode or whiteboard exercises. Our interview process is three rounds: Introduction call with Hiring Manager (15 to 30m, live) A technical screen where we pair in our actual codebase (1h, live) Three non-coding interviews that focus on product thinking, technical design, and infrastructure (3h 15m, live can be split across multiple days) Depending on our leadership team’s bandwidth, we may start with an additional 30m screen with a recruiter. Your hiring manager will be your main point of contact and prep you for interviews. Each round will have written guidance so you know what to expect (you’ll need minimal preparation). You’ll meet 4 to 6 people in engineering (with 5-15 minutes in each interview to ask them questions). If we don’t give an offer, we’ll provide feedback! Your First Three Months at Ashby We want an exceptional onboarding experience for every new hire. At Ashby, your dev environment is set up with a single script, you push your first product change on day one, and you spend the rest of your time shipping product changes that give you a tour of our codebase and best practices.

Job Description PLUM is a fintech company empowering financial institutions to grow their business through a cutting-edge suite of AI-driven software, purpose-built for lenders and their partners across the financial ecosystem. We are a boutique firm, where each person’s contributions and ideas are critical to the growth of the company. This is a fully remote position, open to candidates anywhere in the U.S. with a reliable internet connection. While we gather in person a few times a year, this role is designed to remain remote long-term. You will have autonomy and flexibility in a flat corporate structure that gives you the opportunity for your direct input to be realized and put into action. You'll collaborate with a high-performing team — including sales, marketers, and financial services experts — who stay connected through Slack, video calls, and regular team and company-wide meetings. We’re a team that knows how to work hard, have fun, and make a meaningful impact—both together and individually. Job Summary We are seeking a Senior Data Engineer to lead the design and implementation of scalable data pipelines that ingest and process data from a variety of external client systems. This role is critical in building the data infrastructure that powers Plum’s next-generation AI-driven products. You will work with a modern data stack including Python, Databricks, AWS, Delta Lake, and more. As a senior member of the team, you’ll take ownership of architectural decisions, system design, and production readiness—working with team members to ensure data is reliable, accessible, and impactful. Key Responsibilities • Design and architect end-to-end data processing pipelines: ingestion, transformation, and delivery to the Delta Lakehouse., • Integrate with external systems (e.g., CRMs, file systems, APIs) to automate ingestion of diverse data sources., • Develop robust data workflows using Python and Databricks Workflows., • Implement modular, maintainable ETL processes following SDLC best practices and Git-based version control., • Contribute to the evolution of our Lakehouse architecture to support downstream analytics and machine learning use cases., • Monitor, troubleshoot, and optimize data workflows in production., • Collaborate with cross-functional teams to translate data needs into scalable solutions. Requirements • Master’s degree in Computer Science, Engineering, Physics, or a related technical field or equivalent work experience., • 3+ years of experience building and maintaining production-grade data pipelines., • Proven expertise in Python and SQL for data engineering tasks., • Strong understanding of lakehouse architecture and data modeling concepts., • Experience working with Databricks, Delta Lake, and Apache Spark., • Hands-on experience with AWS cloud infrastructure., • Track record of integrating data from external systems, APIs, and databases., • Strong problem-solving skills and ability to lead through ambiguity., • Excellent communication and documentation habits. Preferred Qualifications • Experience building data solutions in Fintech, Sales Tech, or Marketing Tech domains., • Familiarity with CRM platforms (e.g., Salesforce, HubSpot) and CRM data models., • Experience using ETL tools such as Fivetran or Airbyte., • A fast-paced, collaborative startup culture with high visibility., • Autonomy, flexibility, and a flat corporate structure that gives you the opportunity for your direct input to be realized and put into action., • Opportunity to make a meaningful impact in building a company and culture., • Equity in a financial technology startup., • Generous health, dental, and vision coverage for employees and family members + 401K., • Eleven paid holidays and unlimited discretionary vacation days., • Competitive compensation and bonus potential.

Job DescriptionJob Title: Machine Learning Engineer, Data Position Type: Full time Location: San Francisco, CA, USA Salary Range: $150,000 - $250, 000 (USD) Job ID#: 158135 Job Description: We are looking for an ML Engineer with 3+ YOE designing, building, and maintaining data pipelines at scale. The ideal candidate has diverse experience managing data from ingest and processing through storage and training. This role is vital for ensuring the computational backbone supports the company’s ML efforts, focusing on deployment and scalability. Responsibilities * Lead the efforts to design, implement, and maintain scalable solutions for data warehousing and processing. Capable of providing the right solutions for the evolving needs of our research teams. * Manage and optimize the performance of our computing clusters or cloud instances, such as AWS or Google Cloud, to support distributed data processing at scale. * * Design data snapshots, ETL pipelines, and storage solutions with a strong focus on data shape and layout to ensure the flexibility required for training * Collaborate across research teams to understand their data needs and provide appropriate solutions, facilitating seamless model training. Requirements: * Bachelor’s degree in Computer Science, Information Technology, or a related field. * Experience with cloud computing platforms such as Amazon Web Services, Google Cloud, or Microsoft Azure, essential for managing large-scale ML workloads. * Understands the importance of orchestration tools in ML data workflows, and values engineering processes and version control (CI/CD). * Experience designing, building, and managing large-scale data pipelines for ML; experience with video data is a huge plus. * Understanding of distributed training techniques and how to scale models across multi-node clusters aligning with video generation needs. * Strong problem-solving and communication skills, given the need to collaborate with diverse teams. About Us: Founded in 2009, IntelliPro is a global leader in talent acquisition and HR solutions. Our commitment to delivering unparalleled service to clients, fostering employee growth, and building enduring partnerships sets us apart. We continue leading global talent solutions with a dynamic presence in over 160 countries, including the USA, China, Canada, Singapore, Japan, Philippines, UK, India, Netherlands, and the EU. IntelliPro, a global leader connecting individuals with rewarding employment opportunities, is dedicated to understanding your career aspirations. As an Equal Opportunity Employer, IntelliPro values diversity and does not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, genetic information, disability, or any other legally protected group status. Moreover, our Inclusivity Commitment emphasizes embracing candidates of all abilities and ensures that our hiring and interview processes accommodate the needs of all applicants. Learn more about our commitment to diversity and inclusivity at . Compensation: The pay offered to a successful candidate will be determined by various factors, including education, work experience, location, job responsibilities, certifications, and more. Additionally, IntelliPro provides a comprehensive benefits package, all subject to eligibility. Powered by JazzHR eQfaFV6Iac

Job DescriptionJob Title: Machine Learning Engineer, Training Infrastructure Position Type: Full time Location: San Francisco, CA, USA Salary Range: $150,000 - $250, 000 (USD) Job ID#: 158135 Job Description: We are looking for an ML Engineer with 3+ YOE in high-performance computing systems to manage and optimize our computational infrastructure for training and deploying our machine learning models. The ideal candidate has diverse experience managing ML workloads at scale, supporting our 3DVAE and video diffusion models. We encourage you to apply even if you don't meet every requirement — we value curiosity, creativity, and the drive to solve hard problems. Responsibilities * Design, implement, and maintain scalable computing solutions for training and deploying ML models, ensuring infrastructure can handle large video datasets. * Manage and optimize the performance of our computing clusters or cloud instances, such as AWS or Google Cloud, to support distributed training. * Ensure that our infrastructure can handle the resource-intensive tasks associated with training large generative models. * Monitor system performance and implement improvements to maximize efficiency and utilization, using tools like Airflow for orchestration. * Collaborate across research teams to understand their computational needs and provide appropriate solutions, facilitating seamless model deployment. Requirements: * Bachelor’s degree in Computer Science, Information Technology, or a related field, with a focus on system administration. * Experience with cloud computing platforms such as Amazon Web Services, Google Cloud, or Microsoft Azure, essential for managing large-scale ML workloads. * This role is vital for ensuring the computational backbone supports the company’s ML efforts, focusing on deployment and scalability. * Values engineering processes and version control (CI/CD). * Knowledge of containerization technologies like Docker and Kubernetes required for deployments at scale. * Understanding of distributed training techniques and how to scale models across multi-node clusters aligning with video generation needs. * Strong problem-solving and communication skills, given the need to collaborate with diverse teams. About Us: Founded in 2009, IntelliPro is a global leader in talent acquisition and HR solutions. Our commitment to delivering unparalleled service to clients, fostering employee growth, and building enduring partnerships sets us apart. We continue leading global talent solutions with a dynamic presence in over 160 countries, including the USA, China, Canada, Singapore, Japan, Philippines, UK, India, Netherlands, and the EU. IntelliPro, a global leader connecting individuals with rewarding employment opportunities, is dedicated to understanding your career aspirations. As an Equal Opportunity Employer, IntelliPro values diversity and does not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, genetic information, disability, or any other legally protected group status. Moreover, our Inclusivity Commitment emphasizes embracing candidates of all abilities and ensures that our hiring and interview processes accommodate the needs of all applicants. Learn more about our commitment to diversity and inclusivity at . Compensation: The pay offered to a successful candidate will be determined by various factors, including education, work experience, location, job responsibilities, certifications, and more. Additionally, IntelliPro provides a comprehensive benefits package, all subject to eligibility. Powered by JazzHR PCOFjlVbHN