Senior Automation Engineer jobs at Newell Brands - 2107 jobs

A technology company in New York is seeking a Senior Site Reliability Engineer to tackle scaling and reliability challenges in a high-intensity environment. The role requires over 5 years of software engineering experience with a focus on backend systems and database management. You will optimize data infrastructures, improve system performance, and build automation tooling to enhance reliability. Ideal candidates will have strong programming skills and a collaborative attitude, ready to work in a fast-paced team setting. #J-18808-Ljbffr

A global aerospace solutions company is seeking an experienced Senior Software Test Engineer in the Town of Poland, New York. You will analyze customer requirements, perform software testing, and develop test scenarios. Ideal candidates have a Bachelor or Master's degree with 4+ years of experience in software verification. The role offers a salary range of 14,000 to 22,000 PLN gross and benefits including private health insurance, a hybrid work model, and educational support. #J-18808-Ljbffr

About us Aeva's mission is to bring the next wave of perception to a broad range of applications from automated driving to industrial robotics, consumer electronics, consumer health, security, and beyond. Aeva is transforming autonomy with its groundbreaking sensing and perception technology that integrates all key LiDAR components onto a silicon photonics chip in a compact module. Aeva 4D LiDAR sensors uniquely detect instant velocity in addition to 3D position, allowing autonomous devices like vehicles and robots to make more intelligent and safe decisions. Role Overview We are seeking a software engineer to focus on algorithm development for point cloud processing in production software. This role will focus on driving CPU and memory optimizations across our LiDAR data path, ensuring efficient real‑time processing as sensor capabilities and feature complexity continue to grow. What you'll do Analyze, benchmark and implement point cloud processing algorithms to achieve CPU, memory, and latency targets. Implement signal processing, detection, and lidar algorithms in C++ in production software and simulation platforms. Translate floating‑point models to fixed‑point for optimal implementation on ARM processors and FPGAs. Profile, triage, and root‑cause complex performance issues in live sensor systems. Participate in the team's development processes, including requirements and design documentation, test‑plan generation and execution, peer design and code reviews, process feedback, and improvements. What you'll have Bachelor's degree with 5+ years of industry experience, or Master's degree with 3+ years of experience in software development and algorithm design. Strong fundamentals in mathematics and excellent problem‑solving skills. Proven experience profiling, benchmarking, and optimizing embedded systems. Demonstrated ability to learn quickly, communicate effectively, and show initiative in solving complex system‑level problems. Nice to have Experience working on point cloud processing algorithms for detection, estimation, and filtering. Worked on fixed‑point algorithm implementation on low‑end processors. Knowledge of working principles for radars/lidars. Experience optimizing algorithms for different embedded platforms including ARM and SIMD processors. What's in it for you Be part of a fast‑paced and dynamic team. Very competitive compensation and meaningful stock grants. Exceptional benefits: Medical, Dental, Vision, and more. Unlimited PTO: We care about results, not punching time cards. $154,900 - $209,600 a year Salary pay ranges are determined by role, level, and location. Within the range, the successful candidate's starting base pay will be determined based on factors including job‑related skills, experience, certifications, qualifications, relevant education or training, and market conditions. These ranges are subject to change in the future. Depending on the position offered, equity, bonus, and other forms of compensation may be provided as part of a total compensation package, in addition to comprehensive medical, dental, and vision coverage, pre‑tax commuter and health care/dependent care accounts, 401k plan, life and disability benefits, flexible time off, paid parental leave, and 11 paid holidays annually. #J-18808-Ljbffr

We believe that the way people interact with their finances will drastically improve in the next few years. We're dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid's network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Washington D.C., London and Amsterdam. At Plaid, our mission is to build the infrastructure that makes financial services more accessible and reliable-enabling businesses and consumers to move money and manage finances with trust and scale. The Payments Transfer team is central to that mission: we build a multi-rail payment platform to move money between bank accounts for millions of people in the United States. You will define the future architecture of our Payments Transfer systems, ensuring they are reliable, scalable, and built for long‑term growth. Additionally, you will execute against an ambitious product roadmap while partnering closely with product and cross‑functional teams. Responsibilities Lead the technical direction of the transfer system including transfer customer onboarding, billing, bookkeeping, payments processing, reconciliation systems. Collaborate across product, design, operations, partnership, and legal teams to make sure the technical solution meets business needs. Discover system quality and reliability opportunities and proactively drive improvements and technical roadmap. Work hands‑on: write and review technical designs, write and review code, lead major technical initiatives and new feature development. Mentor engineers and contribute to a strong, inclusive team culture. Requirements At least 3‑5 years working on payments, billing, invoicing or other financial infrastructure systems. Proven track record of building and operating systems that process payments at scale (e.g., high throughput, high reliability, complex flows such as refunds, settlement). Strong proficiency in distributed system design, architecture, performance optimization, observability, reliability engineering. Experience setting and maintaining engineering best practices (testing, code review, continuous integration/deployment, on‑call practices). Excellent communication: able to engage with business/product/operations stakeholders, articulate technical trade‑offs, drive alignment. [Nice to have] Experience with modern payment rails (e.g., ACH, real‑time bank payments, open banking rails) and multi‑rail payments architectures $202,800 - $330,000 a year The target base salary for this position ranges from $202,800/year to $330,000/year. Additional compensation in the form(s) of equity and/or commission are dependent on the position offered. Plaid provides a comprehensive benefit plan, including medical, dental, vision, and 401(k). Pay is based on factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience and skillset, and location. Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation or benefit plans. Our mission at Plaid is to unlock financial freedom for everyone. To support that mission, we seek to build a diverse team of driven individuals who care deeply about making the financial ecosystem more equitable. We recognize that strong qualifications can come from both prior work experiences and lived experiences. We encourage you to apply to a role even if your experience doesn't fully match the job description. We are always looking for team members that will bring something unique to Plaid! Plaid is proud to be an equal opportunity employer and values diversity at our company. We do not discriminate based on race, color, national origin, ethnicity, religion or religious belief, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, military or veteran status, disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state, and local laws. Plaid is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance with your application or interviews due to a disability, please let us know at accommodations@plaid.com. Please review our Candidate Privacy Notice here. #J-18808-Ljbffr

A leading financial technology company in San Francisco seeks a Senior Engineer to guide architectural decisions and mentor team members. You will design backend systems and collaborate closely with product and design teams to enhance consumer experiences. Ideal candidates have over 8 years in software engineering, with proven leadership and user empathy skills. The role offers a competitive salary range of $202,800 to $330,000, along with comprehensive benefits and equity opportunities. #J-18808-Ljbffr

Senior Software Test Engineer page is loaded## Senior Software Test Engineerlocations: Niepolomice, PL: Fabryczna, PLtime type: Full timeposted on: Posted Todayjob requisition id: JR108523## **ABOUT THE ROLE:****Aerospace Electronics** department designs and produces an extensive range of electronic and software solutions for aerospace and defense. We are seeking skilled and passionate Test Engineer to develop and validate the next generation of airborne engine controllers, that will increase the contribution of electronics to aircraft and shape electric avionics.## **WHAT YOU WILL DO:*** Analyze customer requirements and derive suitable solutions for verification* Test automation and test execution for software and system level testing* Cooperate with System, Hardware and Software Engineers* Perform design, coding, unit testing, debugging, troubleshooting, software and hardware integration* Work on test scenarios and testbench stimulus files* Define and develop model-based test environment (HIL)## **WHAT YOU WILL NEED:*** Bachelor or Master of Science degree in software, electronics or related* 4+ years of software development or software/system verification experience* Proven experience in automation, IoT, Data Capture* Proven experience in LabVIEW, Test Stands, Matlab/Simulink* Good English and Polish languages skills; able to explain technical topics* Aerospace, Medical or Automotive background with safety critical systems would be beneficial* Working knowledge of tools and development frameworks: AGILE, JIRA, DOORS, PYTHON**WHAT YOU WILL GAIN:*** Salary range from 14 000 to 22 000 PLN gross - depending on experience* Private health insurance, life and accident insuranc* MyBenefit/Multikafeteria package* Participate in the company performance bonus program* PPK payment account up to 4% of your compensation, depending on seniority* Hybrid work model* Employee Benefit Fund* Meal vouchers* Relocation and educational support* Free Parking* Experienced team and professional development Woodward is the global leader in the design, manufacturing, and service of energy conversion and control solutions for the aerospace and industrial equipment markets. Together with our customers, we are enabling the path to a cleaner, decarbonized world. Our innovative fluid, combustion, electrical, propulsion and motion control systems perform in some of the world's harshest environments.At Woodward we have created a culture that appreciates and values the contributions of every member. We are a global team of curious, innovative problem-solvers who commit our knowledge, resources and technical expertise to the challenges associated with reducing emissions, enabling alternative energy sources and increasing efficiency, always innovating for a better future.Woodward is working with our customers to solve some of the world's biggest energy challenges. This important work needs more than just the brightest technical minds. It requires talented and committed manufacturing professionals, accountants, supply chain managers, human resources experts, information technology specialists and many more. We are looking for dedicated people who want to learn and grow in a supportive environment that fosters collaboration, innovation and inclusion. #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 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

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 an AI-native requirements platform for modern engineering organizations. Flow's vision is to support “agentic systems engineers” and “agentic domain engineers” working alongside AI agents to design and operate complex systems. About the role Flow is seeking an AI/ML-focused Software Engineer to build AI-powered capabilities that help teams author, review, and manage requirements more effectively. You will work on agentic systems engineer and agentic domain engineer workflows-bringing AI into the center of how teams reason about their systems. This role sits at the intersection of AI, product, and full-stack engineering: you will take ideas from prototype all the way to stable, observable features in production. What you'll do Design and ship AI-powered features such as assisted requirement drafting, consistency checks, impact analysis, and intelligent suggestions for systems and domain engineers. Build agentic workflows that help “agentic systems engineers” and “agentic domain engineers” explore designs, simulate changes, and validate requirements. Evaluate and integrate language models and related tooling, optimizing for reliability, latency, cost, and debuggability in production. Build and maintain the surrounding infrastructure: data pipelines, evaluation harnesses, prompt and model management, observability, and safety/guardrails. Work across the stack-from backend integrations and APIs to simple UI hooks-to deliver complete AI features, not just model endpoints. Partner with product and customers to identify high-value workflows, run experiments, and iterate quickly based on usage. About you 3+ years of experience in applied ML, LLMs, or adjacent fields, with a track record of shipping ML/LLM-powered features in production. Strong software engineering fundamentals, including designing, testing, and operating services at scale in a cloud environment. Hands‑on experience with modern LLM providers and tooling (e.g., OpenAI, Anthropic, Hugging Face, vector stores, RAG patterns). Familiarity with prompt design, retrieval‑augmented systems, evaluation methods, and safety/guardrail approaches. Ability to reason about tradeoffs between different models, architectures, and deployment patterns and make pragmatic decisions. Comfortable working in a high‑ownership, fast‑paced environment where experiments and iteration are the norm. Our stack (AI‑leaning) TypeScript/Node.js and Python for AI and backend services. Modern LLM APIs and orchestration libraries for building agentic workflows. Postgres and other managed cloud services for data and state. How we work & values Speed over everything: prototype AI workflows quickly, then harden what works. Own, downscope, ship, iterate: one clear owner per feature, from prototype to production. Fundamentals done well: evaluation, observability, and safety are part of the first version, not an afterthought. Competitive salary and meaningful equity. Health, dental, and vision coverage. Flexible time off and support for experimentation, learning, and staying current with the AI ecosystem. #J-18808-Ljbffr

An innovative tech firm in San Francisco is looking for an AI/ML-focused Software Engineer to develop AI-powered features for managing engineering requirements. This role involves designing workflows for systems engineers, evaluating language models, and maintaining necessary infrastructure. Ideal candidates should possess over 3 years of experience in applied ML and strong software engineering skills. A competitive salary and equity are offered, along with health benefits and a flexible time-off policy. #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 Flow Flow Engineering is building a requirements platform for modern engineering teams, helping them design, build, and verify complex systems in an iterative way. After a recent Series A, the team is scaling the product from thousands of users to hundreds of thousands while holding a high bar on reliability and speed. About the role Flow is hiring a Software Engineer with an infrastructure focus to build and scale the core platform behind Flow. You will own services and infrastructure that let “agentic systems engineers” and product teams rely on Flow in their day-to-day work. You will join a small, senior, high-ownership team that values speed, ownership, and strong fundamentals: ship v1s quickly, learn, and iterate. What you'll do Design, build, and operate backend services and platform primitives that support complex engineering workflows and collaboration at scale. Scale Flow from thousands of users to hundreds of thousands, improving performance, reliability, observability, and security across the stack. Own and evolve CI/CD pipelines, test infrastructure, and internal tooling so the team can ship quickly and safely. Collaborate with frontend and AI engineers to define APIs, data models, and integration points that are robust and easy to evolve. Contribute to architectural decisions and technical direction as the product and customer base grow. About you 3+ years of software engineering experience building and operating production systems in a cloud environment (e.g., AWS or GCP). Strong understanding of systems design, distributed systems, reliability, observability, and security best practices. Experience with containerization and infrastructure-as-code tooling (e.g., Docker, Terraform, or similar). Comfortable owning projects end-to-end in a fast-paced environment and making pragmatic tradeoffs under ambiguity. Collaborative, low-ego, and excited to work closely with product, design, and customer-facing teams. Our stack (infra-leaning) TypeScript, Node.js, and React on the application side (with a strong bias toward type safety). Postgres and other managed cloud services for persistence and messaging. Containers, Terraform (or similar), and a major cloud provider (AWS/GCP) for infrastructure. How we work & values Speed over everything: ship v1s quickly, learn, and iterate rather than chasing perfection. Own, downscope, ship, iterate: clear ownership, smallest real thing, tight feedback loops. Fundamentals done well: simple, repeatable systems that let us move fast without breaking trust. Competitive salary and meaningful equity. Health, dental, and vision coverage. Flexible time off and support for travel to customers when it matters (“get on a plane”). #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

Key responsibilities Translate UI/UX designs into high-quality, visually appealing and responsive web applications Develop and maintain frontend and backend systems including API services databases, and server-side logic Optimize applications for maximum speed and scalability Write clean, efficient, and well-documented code, following industry best practices- the Falconer platform will help you! Who you are Degree in Computer Science, Engineering or a related field, or equivalent work experience Minimum of 4 years of experience in developing web-based applications Proficiency in front-end technologies such as HTML, CSS, JavaScript, React, and WebSockets Experience with server-side languages (we'll gravitate towards Python and Node.js) You enjoy hard problems and open-ended assignments Bonus points Hands-on experience with databases (SQL and/or NoSQL) You've developed products with LLMs before (extra if you've already built your own agents) You know your way around AWS or Google Cloud Perks and benefits Generous equity package Competitive salary and benefits 401(k) retirement account The best equipment and tools, like a spec'd out MacBook, and dev prod tools like Cursor, Claude Code, and Linear to help you move fast Our office is in San Francisco, just steps from Caltrain #J-18808-Ljbffr

A tech company in San Francisco is looking for a talented Web Developer to create responsive and visually appealing web applications. You will be responsible for developing both frontend and backend systems, optimizing for performance, and ensuring code quality. The ideal candidate has at least 4 years of web development experience and is proficient in technologies like HTML, CSS, JavaScript, and React. This position offers a generous equity package and competitive salary. #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 All software engineers at Omni operate across our technology stack to solve customer problems. You'll be working on a team with deep experience in the space, and you'll have the autonomy to prioritize and solve problems by yourself, or in collaboration with other members of the team. This role will be focused on building user experiences, APIs, and data handling processes in our TypeScript application using the React and Remix frameworks. Our engineering culture is focused on shipping quickly and iteratively while maintaining high bars for performance and quality. Recent projects include: Full‑featured 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 APIs for everything 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 Familiarity with data warehouses like Snowflake, BigQuery, Redshift Experience with data use cases and ecosystem 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

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).