Requirements Engineer jobs at Dobbs Equipment - 574 jobs

About Brilliant About Brilliant is creating a world of better problem solvers. We deliver learning that's interactive, adaptive, and fun - at scale. You can learn more about our approach, learners, and method on our about page. We have always prioritized building a real, healthy business. We serve hundreds of thousands of paid subscribers, and want you to help us serve millions. We are default alive (will be profitable before needing to raise), and make hires very selectively and intentionally. In our day-to-day, we value adventure, excellence, generosity, and candor. We are optimists in the face of uncertainty, we take pride in our work, we go the extra mile for each other, and we tell it like it is (the good and the bad). We're here to do the best work of our lives together. We believe that real-time collaboration and human connection are necessary ingredients in building a high-velocity, creatively-oriented consumer product. We maintain core hours (9:30am - 2:30pm Pacific) when everyone is online, regardless of timezone. Over half of us are located near our hubs in SF and NYC. In addition to what's below, you can see all open roles and learn more about our culture on our careers page. The Role Engineers at Brilliant work in small, elite teams alongside colleagues from Product, Design, and Data to achieve the best possible outcomes for our learners and our business. We're opportunistically hiring exceptional product engineers with a demonstrated history of transformative impact on mobile products to further elevate the team. We\'re looking for versatile and product-minded engineers skilled at building delightful experiences on Android with Kotlin & Jetpack Compose. Our ideal candidate for this role will be energized by having deep ownership across our entire Android product as one of only two Android engineers on the team. Interactive education is in its infancy: we\'ve only scratched the surface of what\'s possible with computer-based pedagogy. Our work helps people across Brilliant teach topics from vector calculus to neural networks in an interactive way. Come build the future of interactive learning with us! Responsibilities Bring new features from conception to completion, helping people around the world to learn more effectively by contributing code on Android and iOS - and maybe even web! Be mindful of the “big picture” from both a technical perspective and a business one, keeping the team on track in terms of “building the right thing” and “building the thing right”. Exercise a high degree of autonomy and technical authority on a team that trusts you to do what\'s right for our users but is there to support you when you need it. Contribute to a culture of excellence, setting high standards for candor and mutual accountability, and striking a careful balance between velocity and quality. Advocate for initiatives that will improve developer experience for Brilliant\'s engineers and user experience for Brilliant\'s learners. Frequently ask: How does this impact our learners? Who are you? You have at least 5 years of professional experience in software engineering. You got into programming because you're motivated by solving users' problems. You enjoy solving technical challenges in a way simple enough for an intern to understand and build upon. You avoid introducing complex, novel, or "clever" solutions. You write code for humans, not for computers. You're excited to collaborate closely with talented engineers, product managers, and designers. You enjoy solving problems as a team, pair-programming, and sharing knowledge. You want to be a mentor and to be mentored. You have deep experience with a few languages and frameworks, and you know what you do and do not like about them. You believe in using the right tool for the job - even when it's an unfamiliar one, and especially when it\'s a boring one. You stay up-to-date with the latest technologies and patterns, recognizing the differences between a game-changer and a passing fad. You have a favorite product and can articulate your perspective on what makes using it delightful. You often think about how the products you use could be better. You're constantly tinkering with AI tools and workflows, eagerly exploring how to achieve new levels of productivity. $180,000 - $240,000 a year Plus stock options. Our Engineering Team Brilliant\'s engineering team is small, elite, and AI-enabled. We believe in moving fast, fixing faster, and optimizing for outcomes over outputs. Our team is full of former founders, early employees, and engineering leaders turned ICs whose collective drive, judgement, and standards generate a palpable sense of momentum every day. The norm on this team is doing the very best work of our careers, and we both support and challenge each other every day to do exactly that. Compensation and Benefits We use a systematic compensation framework: salary scales are set each year for each job vertical, managers level folks on their team, and those levels are mapped directly to our compensation scales. A location-based adjustment is applied outside of SF and NYC (typically 5-10%) - feel free to ask us about your location! Given the systematic approach, we always make First and Best offers - there is no negotiation (for new hires nor our existing teammates). This ensures people are paid based on their expected contribution, not their negotiation skills. We offer top-notch health care plans, with 100% of the premiums covered for medical, dental, and vision for employees. We offer flexible PTO, with a norm of taking off about 6 weeks per year (including federal holidays). We also provide home office equipment, a professional development stipend, and free food at our offices. Our CCPA Privacy Notice can be found here. #J-18808-Ljbffr

A technology company in San Francisco is seeking a Frontend Software Engineer to enhance user experiences and integrate AI workflows into their platform. The ideal candidate has over 3 years of experience with React and TypeScript, focusing on building rich, data-driven applications. You will collaborate closely with design and product teams to deliver intuitive user interfaces and features. This role offers a competitive salary and flexible benefits including health coverage and learning support. #J-18808-Ljbffr

A leading analytics platform company in San Francisco is seeking an experienced software engineer to build interfaces for AI-powered analytics tools. The role involves designing intelligent workflows, collaborating with a skilled team, and driving innovation in a supportive environment. Candidates should possess 3-10+ years of software engineering experience, proficiency in TypeScript or JavaScript, and strong analytical tool knowledge. Excellent benefits including competitive salary, equity package, and health insurance are offered. #J-18808-Ljbffr

A cutting-edge cybersecurity firm in San Francisco is seeking a Data Engineer to design and architect their data infrastructure. In this high-impact position, you will be responsible for building scalable and secure database systems that operate across various environments. The ideal candidate should have over five years of experience in data engineering and a solid understanding of compliance frameworks. If you want to be at the forefront of autonomous cyber defense, this is your opportunity. #J-18808-Ljbffr

A financial technology company in San Francisco is seeking a skilled Payments Transfer Systems Architect to lead the development of scalable and reliable payment systems. The ideal candidate will have 3-5 years of experience in financial infrastructure, a strong understanding of distributed system design, and proven communication skills to engage with various stakeholders effectively. This role offers a competitive salary and comprehensive benefits. #J-18808-Ljbffr

Unify was founded January 17th, 2023 by Austin Hughes and Connor Heggie. Prior to Unify, Austin led Ramp's growth product team focused on new customer acquisition, and Connor was a machine learning research engineer at Scale AI. The rest of our team comes from companies like Airbnb, Spotify, Waymo, and LinkedIn. Our mission is to build the first system-of-action for go-to-market teams, starting with an end to end platform powering warm outbound. Today, outbound sales is dominated by cold, mass outreach that floods people's inboxes and converts to deals at a tiny rate. We're building a platform to power warm outbound, allowing go-to-market teams to get in touch with the right people at the exact time they're looking for a solution. We've grown revenue 8x year-over-year, and are already serving customers like Guru, Justworks, Together.AI, Flock Safety, Hightouch and more. We're a high energy, high intensity team and we've raised $58M from Thrive, Emergence, OpenAI and others. Come join us in changing how go-to-market works. About the role: At Unify, we leverage AI throughout our platform to enable innovative workflows and to power the next generation of GTM. As an AI Engineer, you will bring new AI products from zero to one and build the AI platform at Unify. You will work on agents, retrieval systems, classification, fine-tuning, reinforcement learning, and LLM inference infrastructure. If you are interested in working on production AI systems and want to build cutting edge AI applications used by the best GTM teams, this role is for you. What You'll Do: Ship novel AI projects and features end to end Build and scale AI infrastructure to support production inference Develop and improve engineering processes, tools, and systems to scale AI solutions across Unify Create novel AI capabilities and push the frontiers of Agents Collaborate with frontier labs like OpenAI to test and iterate on features and models before public release What You Need: You have 3+ years of software engineering experience and at least 1 year working in AI A track record of delivering full-stack AI projects, particularly those involving production use cases of LLMs and Agents You think empirically; running experiments and measuring outcomes drives how you develop AI products Experience building backend systems and infrastructure that can support AI-driven products You are customer-obsessed, creative and hungry. You have the ability to take high-level business/product ideas to deployed engineering solutions. About this role: This a salaried position with a target range of $180,000 - $250,000 (depending on experience), equity package and comprehensive benefits (including medical, dental, vision, and 401(k) options). This position is onsite in either San Francisco, CA, or New York City, NY, offering the invaluable opportunity to work closely with a talented team in a dynamic, high-energy environment. Being in-person enables real-time collaboration, fosters creative problem-solving, and strengthens the connections that drive innovation and impact. You'll be at the center of our fast-paced operations, contributing to a culture that values engagement, growth, and teamwork. #J-18808-Ljbffr

Alaris Security is building the core technology stack for intelligent cyber security. Designed for enterprise and defense organizations, our platform unifies security data through our proprietary graph database and automates critical tasks using our agent framework. Together these technologies allow us to provide a suite of products that enhance defensive cyber security operations, including automating critical use-cases: alert analysis, vulnerability triage, investigations, incident response, and attack staging detection among many others. If you've ever wanted to help shape how the world defends itself against cyberthreats, this is your opportunity. The Role As a Full-Stack Engineer at Alaris, you'll be building the tools that make the future of cyber security possible. One day you might be designing a frontend that lets analysts visualize real-time threats across a global infrastructure. Next, you might be crafting backend systems that orchestrate autonomous AI agents to investigate threats as they unfold. This is a high-ownership role: you'll work across the stack, propose new features, improve core infrastructure, and shape product direction. You'll collaborate with a small, elite team of engineers and security experts to solve some of the hardest problems in the field. What You'll Do Build powerful, intuitive user-facing features using TypeScript and Next.js Extend backend systems and design database schemas to support intelligent automation Architect and refine AI agents to handle high-value security workflows Design APIs and coordinate backend/frontend interfaces for new platform features Contribute to system-level architecture and make decisions that will scale with the company Work closely with engineers, designers, and security specialists to build a unified product Help shape the culture of an early-stage, mission-focused engineering team What We're Looking For 3+ years of software development experience Deep comfort across the stack, from frontend to backend to architecture Experience building and shipping full-stack applications Strong React and TypeScript experience (Next.js is a plus) Passion for solving hard problems with clean, scalable solutions Comfortable working independently and driving projects from start to finish Experience with PostgreSQL based databases Bonus: experience with AI agents, graph databases, or cyber security products Why Alaris We are at a rare point in time (the 3rd generation of cyber products) where we can build with AI at the core. At Alaris, you'll work at the intersection of cyber security, AI, and systems design. This is a rare chance to build foundational technology that will shape the future of enterprise and national security. You won't just be writing code-you'll be building defense systems for the future of the world. #J-18808-Ljbffr

Alaris Security is building the core technology stack for intelligent cyber security. Designed for enterprise and defense organizations, our platform unifies security data through our proprietary graph database and automates critical tasks using our agent framework. Together these technologies allow us to provide a suite of products that enhance defensive cyber security operations, including automating critical use-cases: alert analysis, vulnerability triage, investigations, incident response, and attack staging detection among many others. If you've ever wanted to help shape how the world defends itself against cyberthreats, this is your opportunity. The Role As a Data Engineer, you'll design the data infrastructure that powers our platform-across petabyte-scale workloads, on-premise deployments, cloud environments, and edge systems. You'll architect and refine our database layer to process and store thousands of alerts, processed by hundreds of autonomous agents, supporting real-time security operations. This is a hands-on, high-impact role. You'll be building the systems that underpin every product we ship-ensuring our databases are secure, scalable, and lightning-fast. You'll help shape our schema design, ensure compliance with enterprise data standards, and anticipate failure points before they happen. If you've ever wanted to lead data infrastructure at the intersection of AI, defense, and cyber security-this is that opportunity. What You'll Do Architect and scale our core database systems to handle massive enterprise data volumes Design fault-tolerant data infrastructure that works seamlessly across cloud, on-prem, and constrained environments Develop performance testing and stress-testing frameworks to identify and address system bottlenecks Collaborate with product and engineering teams on data model design and access patterns Ensure compliance with data security, privacy, and enterprise regulations (SOC 2, GDPR, HIPAA, etc.) Mentor engineers and help build a world-class data team Contribute to long-term architectural decisions and the Alaris platform roadmap What We're Looking For 5+ years of experience in data engineering or database systems 4+ years working in enterprise environments with large-scale data systems 3+ years hands-on experience with PostgreSQL (design, optimization, scaling) Familiarity with TypeScript and backend engineering best practices Deep understanding of data security, compliance, and governance frameworks Excellent communication and leadership skills-able to lead initiatives and mentor others Startup mindset: comfort with pace, autonomy, and ambiguity Bonus: Experience with graph databases or distributed data systems Why Alaris At Alaris, data isn't just stored-it's operationalized, correlated, and made actionable by intelligent agents in real time. You'll build the data foundation that powers this future-from massive cloud infrastructure to forward-deployed environments with zero room for error. This role isn't about babysitting databases. It's about leveraging them to power autonomous agents defending real-world environments. If you're ready to architect the infrastructure that will drive the next generation of autonomous cyber defense-we'd love to meet you. #J-18808-Ljbffr

Alaris Security is building the core technology stack for intelligent cyber security. Designed for enterprise and defense organizations, our platform unifies security data through our proprietary graph database and automates critical tasks using our agent framework. Together these technologies allow us to provide a suite of products that enhance defensive cyber security operations, including automating critical use-cases: alert analysis, vulnerability triage, investigations, incident response, and attack staging detection among many others. If you've ever wanted to help shape how the world defends itself against cyberthreats, this is your opportunity. The Role As an Infrastructure Engineer, you'll architect and lead the systems that power our platform across complex operational environments-ranging from traditional cloud to on-premise and forward-deployed systems. This is a foundational role. You won't just manage infrastructure-you'll design it from the ground up. You'll own everything from Kubernetes orchestration and secure CI/CD pipelines to infrastructure-as-code, observability systems, and compliance frameworks. You'll collaborate across engineering to influence product design, support AI workloads, and ensure the infrastructure evolves in step with our most ambitious technical goals. If you thrive in complexity and want to build critical systems with real-world impact, then this is the role for you. What You'll Do Design and implement a robust infrastructure architecture that runs across diverse environments-cloud, on-prem, and constrained, forward-deployed systems Own Kubernetes deployments, with a focus on reliability, security, and operational resilience Build CI/CD systems that enable rapid iteration without compromising stability or compliance Develop infrastructure-as-code using Terraform, Ansible, or similar tools for reproducible provisioning Partner with backend engineers to support database performance, availability, and deployment flexibility Lead infrastructure initiatives from architecture to rollout-while mentoring junior engineers along the way Help define our DevOps culture and influence the long-term technical roadmap of the company What We're Looking For 5+ years of experience in DevOps or enterprise infrastructure roles 3+ years deploying and managing production-grade Kubernetes clusters Experience working within or adjacent to regulated environments or compliance frameworks Deep fluency in building and maintaining CI/CD pipelines Proficiency with Terraform, Ansible, or similar infrastructure-as-code tools Familiarity with modern observability stacks (Prometheus, Grafana, Datadog, etc.) Startup mentality: excited by autonomy, speed, and solving hard technical challenges in real-world systems Why Alaris At Alaris, infrastructure isn't a support function-it's mission-critical. The systems you build will run on the edge, in the cloud, and in forward-deployed environments-supporting critical security operations. This is a rare opportunity to build the infrastructure layer that will be critical for intelligent cyber security. In doing so, you will be on the frontlines of the emerging wave in cyber security and help to defend some of the world's most critical technologies. If you want to build the invisible machinery that powers the future of defense, we want to hear from you. #J-18808-Ljbffr

Plug is the only wholesale platform built exclusively for used electric vehicles. Designed for dealers and commercial consignors, Plug combines EV-specific data, systems and expertise to bring clarity and confidence to the wholesale buying and selling process. With the addition of Trade Desk™, dealers can quickly receive cash offers or list EV trade-ins directly into the auction, removing friction and maximizing returns. By replacing outdated wholesale methods with tools tailored to EVs, Plug empowers dealers to make faster and more profitable decisions with a partner they can trust. For more information, visit ***************** The Opportunity This is an on site role in Santa Monica, CA. We are looking for a Software Engineer to join our growing team! A full-stack software engineer who will report directly to our CTO, and who will own entire customer-facing products. We're building systems like multi-modal AI-enabled data onramps for EVs, near-real time API connectivity to the vehicles, and pricing intelligence tooling. As a member of the team you'll help lay the technical and product foundation for our growing business. We're building a culture that cares about collaboration, encourages intellectual honesty, celebrates technical excellence, and is driven by careful attention to detail and planning for the future. We believe diversity of perspective and experience are key to building great technology and a thriving team. Sound cool? Let's work together. Key Responsibilities Collaborate with colleagues and be a strong voice in product design sessions, architecture discussions, and code reviews. Design, implement, test, debug, and document work on new and existing software features and products, ensuring they meet business, quality, and operational needs. Write clear, efficient, and scalable code with an eye towards flexibility and maintainability. Take ownership of features and products, and support their planning and development by understanding the ultimate goal and evaluating effort, risk, and priority in an agile environment. Own and contribute to team productivity and process improvements. Use and develop APIs to create integrations between Plug and 3rd party platforms. Be an integral part of a close team of developers; this is an opportunity to help shape a nascent team culture. The ideal candidate will be a high-growth individual able to grow their career as the team grows. Qualifications 4-6 years of hands-on experience developing technical solutions Advanced understanding of web application technologies, both backend and frontend as well as relational databases. Familiarity with Cloud PaaS deployments. Familiarity with TypeScript or any other modern typed language. Familiarity with and positive disposition toward code generation AI tooling. Strong analytical and quantitative skills. Strong verbal and written communication skills with a focus on conciseness. A self-directed drive to deliver end-to-end solutions with measurable goals and results. Understanding and accepting of the ever-changing controlled chaos that is an early startup, and willing to work within that chaos to improve processes and outcomes. Experience balancing contending priorities and collaborating with colleagues to reach workable compromises. A proven track record of gaining trust and respect by consistently demonstrating sound critical-thinking and a risk-adjusted bias toward action. You pride yourself on having excellent reliability and integrity. Extraordinary grit; smart, creative, and persistent personality. Authorized to work in the US for any employer. Having worked in automotive or EV systems is a plus. Compensation and Benefits Annual Salary: 130K - 150K Equity: TBD Benefits: Health, vision, and dental insurance. Lunch stipend. Parking. This full-time position is based in Santa Monica, CA. We welcome candidates from all locations to apply, provided they are willing to relocate for the role. Relocation assistance will not be provided for successful candidates. Sponsorship not available at this time. Plug is an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. And if you do, you suck.

🚀 About Flow Flow is massively accelerating the development of next-generation hardware systems. We're on a mission to reinvent the way humanity develops its most important machines. We're backed by Sequoia Capital with angel investors including Patrick & John Collison (Stripe), David Helgason (Unity) and Kyle Parrish (Figma). Flow is the default requirements tool for complex systems engineering used by next gen space, defense, automotive and robotics companies. When humanity returns to the Moon, builds fusion power, or lands the first interplanetary colony - Flow will have played a vital role. 👷♂️ What You'll Do You'll help build features that tackle some of the world's toughest hardware engineering problems - and depending on your experience, you'll take on increasing ownership and leadership responsibilities as we scale. Own understanding problems: work with customers, customer success and sales to clearly define customer problems. Own designing solutions: contribute to solution design by identifying simpler, better solutions. Build MVPs & iterate quickly: build features, gather feedback and iteratively improve features that solve our customer problems. Fix customer issues: jump on calls with users to troubleshoot and deploy feature improvements within hours. If you're more experienced (4+ years): Lead from the front: hire, mentor and manage best-in-class talent. Develop deep expertise and ownership in an area that drives Flow forward: such as, distributed systems, product design or performance. 🧠 About You Builder at heart: You have 2+ years of experience as a software engineer (we'll level appropriately based on experience). Problem solver: A track record of sucessfully solving real human problems. High Agency: driven to solve the most important problems even if no one has told you to Iterative Development: experience in shipping MVP solutions, gathering feedback and improving solutions to solve user pain faster. Strong technical skills: adept at JavaScript and React, including performance implications in browsers. Strong communicator: clear, concise and direct. 🖥️ Our Tech Stack Backend: Golang Frontend: TypeScript / React / Next.js Infrastructure: Terraform, AWS Containerization: Docker Database: PostgreSQL APIs: GraphQL (Hasura, Apollo) ✨ Leveling We're hiring across multiple levels. If you're earlier in your career, you'll build and ship core features with guidance. If you're more experienced, you'll take ownership of entire product areas, lead by example, and help shape the future of Flow's engineering culture. 💡 Learn About How We Think How to Build an MVP - Michael Seibel Code-first vs Product-first - Zach Lloyd Simple Made Easy - Rich Hickey (Watch the first 25 mins) ♥️ What We Value Speed over everything. If you go over a pothole at 20 mph, you really feel it. If you go over at 200 mph, you barely feel it. Everything we do, we need to do with urgency. This is our superpower and why we win. This is a discipline that requires effort and focus every day. Own, Downscope, ship, iterate: We work in small, fast cycles. Our philosophy is to downscope and ship. The goal is to get a v1 out today and learn from seeing it used. We work with users not at them. Execution is the sole currency by which our customers value us. This does not always mean success at the first iteration, but we must be fully committed to delivering. Fundamentals done well: Most success comes from mastering the basics. The trade off is always scope, never quality. This is why we prioritize simplicity. Doing so requires extreme clarity of thought: a talent for cutting to the essence of a problem, communicating it well and then solving it. Disagree and Commit: To move fast, we have to decide fast. That means debating ideas hard, then committing fully once a decision is made. Enjoy the climb: Climbing Everest is hard. The air thins, your body falters, and you pass those who didn't make it. But we're here to keep climbing. This is the work that will define us. Enjoy the climb. The view at the top only means something if you loved the journey getting there. #J-18808-Ljbffr

About Flow Flow Engineering is building a requirements platform that makes complex engineering work clear, collaborative, and verifiable. The team is now building a more intuitive, AI‑enhanced product experience that feels like a modern, interactive workspace for systems and domain engineers. About the role Flow is hiring a Frontend Software Engineer to own core user experiences in Flow and bring AI‑powered workflows into a clean, intuitive UI. You will work closely with design, product, infra, and AI engineers to make complex systems engineering concepts feel simple and fast. You will help define how “agentic systems engineers” and domain experts interact with Flow, from requirements views to reviews, simulations, and AI assistance. What you'll do Own major user‑facing surfaces in Flow v3, including interactive requirements views, collaboration and review flows, and AI‑assisted workflows. Implement high‑quality, accessible UI using a modern frontend framework and component system. Integrate AI features into the product in ways that feel natural, interpretable, and helpful to engineers. Partner with design and product to iterate quickly on interaction patterns, prototypes, and new workflows. Help shape frontend architecture, design systems, and performance optimizations as the app and user base scale. About you 3+ years of experience building rich, data‑heavy web applications with a modern frontend framework. Strong experience with React (or similar) and TypeScript, including component design, state management, and testing. A product mindset: you think in terms of user journeys, edge cases, and clarity, not just individual screens. Comfortable collaborating closely with design and product, and giving and receiving feedback through iterations. Willingness to occasionally work across the stack (e.g., refining APIs, wiring up integrations) to ship features end‑to‑end. Our stack (frontend‑leaning) React and TypeScript as the primary frontend stack. Tailwind or a similar utility‑first or component‑driven styling approach. Integration with backend APIs and AI services built in TypeScript/Node.js. How we work & values Speed over everything: ship Flow v3 in slices, not in one big bang. Own, downscope, ship, iterate: you'll own features from idea to shipped UI. Maximum effort, maximum fun: high energy, high ownership, and a team you want to build with. Competitive salary and meaningful equity. Health, dental, and vision coverage. Flexible time off and support for learning, conferences, and great tools. #J-18808-Ljbffr

About Assembled Assembled builds the infrastructure that underpins exceptional customer support, empowering companies like CashApp, Etsy, and Robinhood to deliver faster, better service at scale. With solutions for workforce management, BPO collaboration, and AI-powered issue resolution, Assembled simplifies the complexities of modern support operations by uniting in-house, outsourced, and AI-powered agents in a single operating system. Backed by $70M in funding from NEA, Emergence Capital, and Stripe, and driven by a team of experts passionate about problem-solving, we're at the forefront of support operations technology. The Team Our AI Products Team is building autonomous AI agents that handle the most challenging aspects of customer support and let human agents focus on high-value interactions. After launching the product's go-to-market motion, the Assist product line grew 5x in just 3 months to millions of ARR, with a strong pipeline of deals for even more growth. We're already deploying our systems at leading tech companies like Canva, Patreon, and Babylist, giving us complex real-world scenarios to solve with rapid feedback loops. The engineering challenges are significant: building autonomous agents that can reliably handle customer interactions, designing systems that scale across communication channels, and pushing the boundaries of what's possible with current LLM technology. Operating as an team led by CTO John Wang, we're focused on eliminating low-leverage support work and helping agents send faster, more accurate replies. Examples of what you might work on: Scaling LLMs with Golang Enhancing RAG results with Reciprocal Rank Fusion and Hybrid Search Pioneering new LLM evaluation techniques Responsibilities As a Software Engineer on the AI Products Team, you will: Build foundational new features: Develop product features from the ground up, such as implementing translation capabilities powered by LLMs and intelligent categorization of incoming tickets. You'll help design and build a workflow builder that distills the complexity of workflows into a simple, intuitive interface, making powerful tools accessible and easy to use for support agents. Improve LLM model results: Enhance our retrieval augmented generation engine using techniques like vector search, document re-ranking, and hypothetical document embeddings. You'll help us leverage implicit knowledge bases like past tickets and macros to improve model performance. Develop LLM Infrastructure: Architect the abstractions that enable the integration of various types of LLMs tailored for different applications. You'll design and implement evaluation and logging systems to monitor performance and build interfaces that expand our platform's capabilities. Engage with customers: Collaborate with our customers (both support agents and managers) to understand their needs, how they interact with our product, and how we can improve their lives. Wear many hats: Be versatile in roles - coding, user research, planning, brainstorming, interviewing, and cross-team collaboration. Shape the team culture: Encourage a startup mentality that's all about staying positive, aiming for top-notch product quality, and taking initiative. About You You might be a good fit if you: Have 5+ yearsof experience in software engineering as an individual contributor. Are highly ambitious and driven and set high goals for yourself and others. Put customers first, focusing on real problem-solving and making life easier for support agents. Enjoy fast-paced environments and can quickly adjust when new insights come from customers or prospects. Have a bit of a maverick streak that helps you come up with creative solutions for tough problems. Have made a noticeable impact on small teams and have solid experience contributing in startups or smaller companies. Have worked with LLMs and are excited to dive into them every day. Stay humble and open to feedback, value teamwork, and are always ready to learn and grow. Our U.S. benefits Generous medical, dental, and vision benefits Paid company holidays, sick time, and unlimited time off Monthly credits to spend on each: professional development, general wellness, Assembled customers, and commuting Paid parental leave Hybrid work model with catered lunches everyday (M-F), snacks, and beverages in our SF & NY offices 401(k) plan enrollment #J-18808-Ljbffr

A leading FinTech company in San Francisco is seeking a Staff Data Engineer to architect a next-generation data platform, optimize systems, and mentor teams. The ideal candidate has over 10 years of experience in data engineering, deep expertise in Snowflake and dbt Cloud, and strong skills in SQL and Python. Join us to shape the future of co-branded financial products while working in a dynamic, inclusive environment. #J-18808-Ljbffr

Who We Are Imprint is reimagining co-branded credit cards & financial products to be smarter, more rewarding, and truly brand-first. We partner with companies like Rakuten, Booking.com, H-E-B, Fetch, and Brooks Brothers to launch modern credit programs that deepen loyalty, unlock savings, and drive growth. Our platform combines advanced payments infrastructure, intelligent underwriting, and seamless UX to help brands offer powerful financial products-without becoming a bank. Co-branded cards account for over $300 billion in U.S. annual spend-but most are still powered by legacy banks. Imprint is the modern alternative: flexible, tech-forward, and built for today's consumer. Backed by Kleiner Perkins, Thrive Capital, and Khosla Ventures, we're building a world-class team to redefine how people pay-and how brands grow. If you want to work fast, solve hard problems, and make a real impact, we'd love to meet you. The Team The Data Engineering team at Imprint is responsible for building and scaling the data infrastructure that supports product development, analytics, operations, and machine learning across the company. We own the pipelines, platforms, and processes that empower our stakeholders to trust and act on our data. The Role As our Staff Data Engineer, you'll architect our data platform while solving our most complex technical challenges. You'll build the foundation for Imprint's next decade of growth: scaling infrastructure for explosive expansion, delivering insights that drive million-dollar decisions, enabling bulletproof partner data sharing, and transforming how every team leverages data. Join us in creating a platform that doesn't just meet today's needs-but anticipates tomorrow's possibilities. What You'll Do Build & Scale Infrastructure Architect our next-generation data platform, optimizing Snowflake, dbt Cloud, and real-time CDC pipelines for enterprise scale Design secure, compliant partner data delivery systems via Snowflake shares, S3/SFTP integrations, and Marketplace listings Create mission-critical financial reporting pipelines with exceptional accuracy and reliability Drive Technical Excellence Establish company-wide data standards for modeling, lineage, contracts, and orchestration Champion data reliability, observability, and trust across all systems Make strategic technology decisions that balance innovation with pragmatism Lead & Mentor Elevate engineering practices across Analytics, Data, and Engineering teams Conduct architecture reviews and build reusable frameworks Share expertise through documentation, templates, and hands-on guidance What We Look For 10+ years of experience in data engineering or related fields, with proven experience owning platform-level architecture and strategy. Deep expertise in Snowflake, dbt Cloud, Change Data Capture frameworks, orchestration tools (Airflow, dbt Cloud), and reverse ETL. Strong background in external data sharing and partner integrations, including Snowflake data shares, S3/SFTP pipelines, and Marketplace listings. Proven ability to design and implement data governance and observability systems, including data contracts, lineage tracking, anomaly detection, and automated monitoring. Strong engineering skills in SQL and Python, emphasizing testing, CI/CD, and maintainability in complex data systems. Reputation as a mentor and technical authority who elevates the technical quality and rigor of peers and teams. Exceptional communication skills and the ability to influence technical and business leadership across multiple departments. Perks & Benefits Competitive compensation and equity packages Leading configured work computers of your choice Flexible paid time off Fully covered, high-quality healthcare, including fully covered dependent coverage Additional health coverage includes access to One Medical and the option to enroll in an FSA 16 weeks of paid parental leave for the primary caregiver and 8 weeks for all new parents Access to industry-leading technology across all of our business units, stemming from our philosophy that we should invest in resources for our team that foster innovation, optimization, and productivity Imprint is committed to a diverse and inclusive workplace. Imprint is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. Imprint welcomes talented individuals from all backgrounds who want to build the future of payments and rewards. If you are passionate about FinTech and eager to grow, let's move the world forward, together. #J-18808-Ljbffr

A cutting-edge data analytics firm in San Francisco is seeking a full-stack engineer to enhance user experiences and integrate AI tools within their platform. You will work on innovative projects that shape data interactions, collaborate with teams on product initiatives, and tackle UX challenges. Ideal candidates should possess 3+ years of software engineering experience, proficiency in React and Typescript, and a strong desire to work in AI development. This position offers a competitive salary and benefits, with a hybrid work model. #J-18808-Ljbffr

About Omni Omni is a business intelligence and embedded analytics platform that helps customers improve self-service, accelerate AI adoption, and build customer-facing data products. Whether users prefer AI, spreadsheets, SQL, or point-and-click, Omni makes it easy for anyone to explore and act on data - all from the same platform. At the core of Omni's platform is a built-in semantic layer that ensures consistency, trust, and AI readiness. Headquartered in San Francisco, Omni has office hubs in Santa Cruz, Philadelphia, Dublin, and Sydney, with team members around the world. The company has raised $97M in funding from leading investors including ICONIQ Growth, Theory Ventures, First Round Capital, Redpoint Ventures, Google Ventures, Snowflake Ventures, and Databricks Ventures. About the Role This role is focused on building interfaces and capabilities for our AI-powered analytics service, giving you the chance to design intelligent workflows and build AI-assisted tools. You'll be working on a team with deep experience in the field, and you'll have the autonomy to prioritize and solve problems by yourself or in collaboration with other members of the team. All software engineers at Omni operate across our technology stack to solve customer problems, and our engineering culture is focused on shipping quickly and iteratively while maintaining high bars for performance and quality. Recent projects include: Full-fledged spreadsheets inside of BI An MCP server for Blobby, our AI chat bot that writes queries within the guard rails of a semantic data model CSV uploads Writing data to Google Sheets Qualifications Strong technical and communication skills 3-10+ years of experience building production software, proficiency in TypeScript or JavaScript Strategic thinking and the ability to balance business and product goals with velocity and engineering excellence Experience using analytical tools (e.g., SQL, Looker, Tableau, Mode, Amplitude, Google Analytics) Nice to have Experience building data products and AI-ready interfaces Familiarity with data warehouses like Snowflake, BigQuery, Redshift Experience with AI/ML integrations or exposure to building AI-assisted features Our stack: TypeScript React with Remix Kotlin / Java AWS Why Join Us We're a passionate, close-knit team with extensive experience in the space, including founders from Looker and Stitch Data Competitive salary & equity package Paid parental leave Health, dental, and vision insurance 401(k) Plan #J-18808-Ljbffr

Outset invented a better way to do research: AI-powered user interviews. Global brands like Hubspot, Microsoft, Uber and Nestle use Outset to achieve deeper, qualitative insights about their users at unprecedented speed and scale. The research industry is massive (>$140B and growing) and ripe for disruption. Incumbents are outdated, slow, and burdened by high-cost services. That's our opportunity. Outset is backed by top Silicon Valley investors and raised a $30M Series B in December 2025-less than six months after our Series A-led by Radical Ventures with participation from M12 (Microsoft's venture arm), 8VC, Y Combinator, and Adverb Ventures. The raise follows a breakout year, with our business growing 8x as enterprise customers across industries adopt our category, AI‑moderated research, as the new standard for understanding people. We're a tight-knit team of 30 based in San Francisco's Financial District, serving some of the world's largest enterprises Responsibilities Collaborate closely with the CTO and CEO on strategic technical decisions and product direction. Design, develop, and optimize intuitive, user-friendly frontend interfaces using React and Next.js. Build robust and responsive components that seamlessly integrate with backend services and APIs. Enhance user experiences through real-time data visualization and interaction. Lead frontend projects from initial conception through production deployment, ensuring scalability, responsiveness, and reliability. Interface directly with users to gather feedback, understand pain points, and continuously improve our product's UI/UX. Qualifications 3+ years of software engineering experience building production-grade frontend systems. Strong proficiency with JavaScript/TypeScript, React, and Next.js. Experience building scalable, responsive web applications. Familiarity integrating frontend applications with RESTful or GraphQL APIs.Strong understanding of UI/UX principles and best practices. Bonus points for familiarity with real-time data visualization, WebRTC, or frontend performance optimization. Benefits Daily collaboration with founders, shaping the core product vision. Exposure to and collaboration with design and research leaders at top global brands. Competitive cash and equity compensation. Actual compensation packages are based on various factors unique to each candidate, including skill set, depth of experience, and certifications. Outset is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees, free from discrimination based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability, or any other protected class. #J-18808-Ljbffr

Responsibilities: Develop new functional features primarily in Golang, with a focus on secure access and authentication mechanisms. Debug, resolve software defects, and refactor code for optimized, high-quality solutions. Participate in solution design sessions to evaluate options, benefits, and trade-offs. Decompose business requirements into actionable technical tasks and accurately estimate effort. Maintain comprehensive solution documentation. Manage infrastructure deployments using Infrastructure as Code (IaC) principles, ensuring fully automated processes with no manual interventions. Utilize code reverse engineering techniques to analyze and understand the existing codebase. Must-Have Skills and Qualifications Golang Development: Strong hands-on coding experience, with a minimum of 3 years in professional environments. Terraform: Proficiency in using Terraform for fully automated infrastructure deployments. Kubernetes: Production experience managing containerized workloads (exposure to Docker is required). AWS: Solid working experience with cloud deployments and services. Linux: Deep operational knowledge, including hands-on experience in Linux environments, PKI certificate management, and SSH key management. DevOps Mindset: Willingness to own the full lifecycle (coding → infrastructure → testing → deployment → monitoring).