Software developer jobs in Santa Rosa, CA - 3,254 jobs

About Decagon Decagon is the leading conversational AI platform empowering every brand to deliver concierge customer experience. Our AI agents provide intelligent, human‑like responses across chat, email, and voice, resolving millions of customer inquiries across every language and at any time. Since coming out of stealth, Decagon has experienced rapid growth. We partner with industry leaders like Hertz, Eventbrite, Duolingo, Oura, Bilt, Curology, and Samsara to redefine customer experience at scale. We've raised over $200M from Bain Capital Ventures, Accel, a16z, BOND Capital, A*, Elad Gil, and notable angels such as the founders of Box, Airtable, Rippling, Okta, Lattice, and Klaviyo. We're an in‑office company, driven by a shared commitment to excellence and velocity. Our values-customers are everything, relentless momentum, winner's mindset, and stronger together-shape how we work and grow as a team. About the Team The Agent SWE team at Decagon deploys the most advanced conversational AI agents to our customers that impact millions of users and directly drive Decagon's growth. You will guide a team to build on our industry‑leading AI agent platform, collaborate directly with customers and use your own creativity to devise long‑term, scalable solutions that support their needs. Our mission is to deliver magical support experiences - AI agents working alongside human agents to help users resolve their issues. About the Role As a leader on the Agent Software Engineering team, you'll have complete ownership and autonomy in shipping best‑in‑class AI agents, from initial implementation through continuous iteration. You'll work directly with leaders across industries like finance, healthcare and hospitality, solving their users' needs with reliable and intuitive AI agents. Engineers here own their work end‑to‑end and are trusted to make a real impact. This role is for someone who is excited to mentor a team of junior engineers, dives deep into complex system challenges and builds elegant solutions that scale to millions of users. In this role, you will Lead a team to design and build AI agents that outperform human agents in managing complex customer interactions and driving customer retention Collaborate closely with enterprise customers across a number of verticals, understand their needs and transform these pain points into magical AI agents Partner with product, design and research to identify cross‑customer trends that guide the evolution of Decagon's agent building platform and research efforts Contribute to team strategy and help define the future of AI customer support agents Your background looks something like this Have 1+ years of engineering management experience Have 5+ years of industry experience in software engineering Proficiency with Python, Typescript and asynchronous programming A high degree of comfort digging into systems failures within deep technology stacks using any tool necessary Even better Prior experience working with multi‑modal models Benefits Medical, dental, and vision benefits Take what you need vacation policy Daily lunches, dinners and snacks in the office to keep you at your best Compensation $300K - $375K + Offers Equity #J-18808-Ljbffr

A leading technology firm is seeking an Analyst for Corporate Development and M&A to drive its growth strategy. The ideal candidate will support all phases of M&A, manage cross-functional teams, and conduct detailed market analyses. Applicants should have experience in investment banking or corporate development, with strong financial modeling skills. This is an opportunity to make a meaningful impact in a fast-paced environment, with a compensation range up to $140,000 plus bonuses and benefits. #J-18808-Ljbffr

Corporate Development Analyst (Entry-Level) - Career Launch AI Talent Network Compensation: $110,000 - $150,000+ total compensation Type: Full-Time About This Opportunity This Corporate Development Analyst posting is an example of the roles inside our private job board - premium strategy & M&A positions that Career Launch AI members get exclusive access to. To get matched with roles like this automatically, go to: 👉 **************************** Corporate Development roles are some of the highest-paying, lowest-stress early finance #J-18808-Ljbffr

Sprig is building the AI-native successor to legacy survey tools, like Qualtrics, Medallia, and SurveyMonkey. We believe the future of experience research won't be powered by slow, siloed platforms. It will be fast, intelligent, and deeply integrated into how modern teams build great products. Our mission is to make deep customer understanding effortless and always on. With Sprig, product teams no longer guess. They know. We are creating a future where AI uncovers insights, accelerates workflows, and enables teams to deliver exceptional customer experiences in real-time. Companies like Notion, Figma, Coinbase, and TripAdvisor already use Sprig to stay closer to their customers than ever before. We're scaling quickly toward $100M ARR, launching new AI-powered capabilities, and expanding our impact across the world's most innovative companies. If you're energized by bold ideas, rapid growth, and the opportunity to redefine an entire category, we'd love to meet you. About the Role Sprig is on a path to build a world-class product experience platform that empowers the best businesses to truly understand how their users experience their product at scale. The goal of the Core team at Sprig is to build and deploy high-performing, low-footprint SDKs and develop the dashboard experience to manage these studies. Your work will be used by millions of people throughout the world so ensuring stability, resiliency and performance of our software is critical. This role is based in San Francisco with three days working in office. Your Impact Set a clear and compelling technical direction for the core team. Work closely with Product and Design partners to drive technical decisions that shape the roadmap and influence the broader engineering organization. Hire, develop, and retain top-tier engineering talent. Foster a collaborative, inclusive team environment where engineers thrive and grow in their careers. Ensure timely and high-quality delivery of Web, Mobile, Desktop SDKs and dashboard features around study management. Maintain a strong sense of urgency while upholding our bar for reliability, security, and performance especially for enterprise customers with demanding product and compliance requirements. Champion a culture of ownership and accountability to meet the expectations of Sprig's largest customers. Build systems with reliability, observability, and maintainability in mind to support our public available SDKs used by millions of users. Foster a culture of continuous improvement and knowledge sharing across the team and company. Partner effectively with teams across Product, Design, Customer Success, and Sales to deliver a delightful developer and user experience. Your Strengths Proven experience (8+ years) in software engineering with a strong background in TypeScript, React, and Node.js. Deep understanding of modern web development practices, tooling, and performance optimization. At least 2+ years in an engineering management role, with a track record of building and leading high-performing frontend, mobile, or fullstack teams. Development experience in Mobile and SDKs a nice to have. A hands-on leader who enjoys being close to the codebase, especially early on. You aren't afraid to dive in and code or guide architectural design decisions. Deep appreciation for the unique demands of enterprise customers. You hold a high bar for product quality, security, and service-level expectation. Know how to balance urgency with long-term technical trade offs. Clear and concise communicator. Able to effectively navigate technical and non-technical discussions, and drive alignment across functions. A deep care for the end-user experience and a passion for building tools that developers love to use. Benefits & Perks Competitive Salary Competitive Employee Equity 401K Program Medical, Dental, and Vision Benefits FSA/HSA Benefit $175/month Commuter Benefit Additional Wellbeing Benefits Flexible Paid Time Off Paid Parental Leave Professional Development Stipend Hybrid Office Policy Lunch and dinner daily Company Sponsored Social Events At Sprig, we pride ourselves on being a people-first company, where your contributions truly matter and are valued. We were recently awarded by Fortune as top 50 best places to work in the US, and top 50 Places to Work in the Bay Area by Built In. Come join our mission of building products users love and have a real impact on Sprig's future. Our Commitment to Diversity and Inclusion We prioritize diversity within our team and value different perspectives, educational backgrounds, and life experiences. We encourage people from underrepresented backgrounds to apply. Employee Pay Disclosure The salary range for this full-time position is $210,000 - $290,000+ Equity + Benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all locations (San Francisco, CA; New York, NY). Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your Recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in postings reflect the base salary only, and do not include equity or benefits. ***Please beware of scammers who are posing as Sprig and Sprig team members. Our recruiters ************** email addresses exclusively. We do not conduct interviews via text or instant message, and we do not ask candidates to purchase equipment through us or solicit money from you. If you have been contacted by someone claiming to be from a different domain about a job offer, please report it as potential job fraud to law enforcement and contact us here.*** #J-18808-Ljbffr

Disney Entertainment and ESPN Product & Technology Technology is at the heart of Disney's past, present, and future. Disney Entertainment and ESPN Product & Technology is a global organization of engineers, product developers, designers, technologists, data scientists, and more - all working to build and advance the technological backbone for Disney's media business globally. We are storytellers and innovators, creators and builders, entertainers and engineers. We work with every part of The Walt Disney Company's media portfolio to advance the technological foundation and consumer media touch points serving millions of people worldwide. Here are a few reasons why we think you'd love working here: Building the future of Disney's media: Our technologists are designing and building the products and platforms that will power our media, advertising, and distribution businesses for years to come. Reach, Scale & Impact: Our technology and products serve as a signature doorway for fans' connections with the company's brands and stories. Disney+, Hulu, ESPN, ABC, ABC News, and many more. Innovation: We develop and implement groundbreaking products and techniques that shape industry norms and solve complex and distinctive technical problems. Job Summary We are hiring a Manager, AI Core Engineering to lead a growing team of engineers building the core AI capabilities, shared services, and developer‑facing web applications that accelerate AI adoption across Ad Technology. You will oversee a diverse team of backend and UI engineers at varying levels of seniority-ranging from those designing reusable agents, orchestration layers, and shared services, to those creating intuitive web interfaces for video analysis, enablement dashboards, and AI developer tooling. As a people manager, you will coach engineers across disciplines, drive technical delivery, and partner with product, infrastructure, and governance teams to ensure solutions are safe, scalable, and aligned with enterprise standards. This role blends organizational leadership with technical depth; you will be accountable for outcomes, roadmaps, and enabling engineers to deliver their best work. Responsibilities and Duties of the Role Team Leadership & People Management Lead, mentor, and grow a team of full‑stack engineers (backend‑heavy) and UI‑focused developers. Drive career development, performance management, and team culture. Foster an inclusive, high‑performing environment. Program & Delivery Management Own execution of the AI Core roadmap, ensuring timely delivery of reusable agents, services, and developer‑facing web apps. Remove blockers, balance workloads, and track progress against objectives and key results (OKRs). Partner with product and TPM counterparts on planning and prioritization. Cross‑Team Collaboration Partner with infrastructure, data, product, and security teams to integrate AI core capabilities into enterprise and customer‑facing systems. Represent AI Core Engineering in leadership forums, sharing updates, risks, and adoption progress. Technical and Project Deliverable Oversight Guide architecture and design, review team proposals, manage capacity, and mitigate risks and blockers to keep projects on track. Ensure best practices for guardrails, governance, observability, and developer enablement. Balance priorities across backend services, AI orchestration, and UI/web application delivery. Basic Qualifications Bachelor's degree in Computer Science, Engineering, or related technical field (Master's preferred), or equivalent experience. 8+ years of software engineering experience, with 2+ years in a leadership or management role. Expert in at least one foundational programming language, preferably Python or Java, with a track record of building production‑grade systems. Proven experience managing teams delivering AI/ML‑powered systems or developer tooling. Hands‑on expertise with LLM APIs (e.g., OpenAI, Anthropic, Claude) and orchestration frameworks (e.g., LangChain, LangGraph). Experience designing and delivering multi‑agent architectures and applying modern AI system design patterns. Experience overseeing delivery of UI/web applications alongside backend services. Working knowledge of test automation and modern CI/CD practices for AI and backend systems. Strong ability to mentor engineers, manage performance, and build team culture. Excellent communication and collaboration skills; able to influence across technical and non‑technical stakeholders. Set standards for code quality, test coverage, and production readiness across AI core components and web applications. Preferred Qualifications Prior experience managing teams that span backend and UI engineering. Knowledge of AI governance, safety, and observability frameworks. Experience integrating enterprise AI services such as AWS Bedrock or Azure AI Foundry. Background in developer enablement or platform engineering where shared frameworks accelerated adoption. Skilled at writing technical strategies, design reviews, and presenting to senior leadership. The hiring range for this position in Los Angeles, CA is between $171,600 - $230,100, San Francisco, CA between $187,900 - $252,200 and Seattle, WA between $179,700 - $241,000. The base pay actually offered will take into account internal equity and may vary depending on the candidate's geographic region, job‑related knowledge, skills, and experience among other factors. A bonus and/or long‑term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered. Disability Accommodation for Employment Applications The Walt Disney Company and its Affiliated Companies are Equal Employment Opportunity employers and welcome all job seekers, including individuals with disabilities and veterans with disabilities. If you have a disability and believe you need a reasonable accommodation in order to search for a job opening or apply for a position, visit the Disney candidate disability accommodations FAQs. We will only respond to those requests that are related to the accessibility of the online application system due to a disability. #J-18808-Ljbffr

About the Role We're looking for exceptional engineers to help build one of the most transformative applications of AI: using ChatGPT to expand economic opportunity at scale. This is a unique chance to work at the intersection of agents, search/matching, personalization, UX, and real-world economic impact and building AI products that directly change people's lives. Millions already turn to ChatGPT for career help, but the job market is stuck in static résumés, keyword search, and opaque hiring. We're building something different: a career agent that understands your skills, helps you prove them through certifications, and works nonstop to unlock opportunities - leading to a network where worker and employer agents match on real capabilities, not job boards. In this role, you will: Own major product surfaces end-to-end to build the next-generation AI-powered jobs platform Design and ship core systems for matching, candidate verification, skills representation, and workflow automation Work with research to turn new model and agent capabilities into production features that help users prove skills, certify expertise, and find great opportunities Build high-trust, scalable systems that support millions of job seekers and employers Run experiments, talk to users, and iterate quickly to identify what drives successful outcomes, not clicks or resumes Work closely with product, design, research, and ops to create human-centered experiences powered by AI Optimize for speed, reliability, and security, ensuring a trusted platform for economic mobility You may be a good fit if you have: 5+ years of software engineering experience building highly-available user-facing products Experience working across the stack (frontend + backend) and comfort owning features end-to-end Passion for marketplaces, matching systems, or search/personalization, even if you haven't built one before Interest in AI-driven UX, agents, and workflow automation (direct ML experience not required) Enthusiasm for working in a fast-moving, ambiguous environment where new ideas ship quickly and user impact matters most About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI's affirmative action and equal employment opportunity policy statement. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link. OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology. #J-18808-Ljbffr

Why Join Doppel Doppel is built to outsmart one of the great threats AI presents: mass‑manufactured social engineering. Countless scams, deepfakes, and other social engineering attacks are surging across every digital channel: websites, social media, ads, encrypted messaging apps, mobile, and more. Our mission is simple but bold: make the internet a safer place by outsmarting the world's fastest‑evolving digital threats. Backed by top‑tier investors and trusted by some of the world's most recognized brands, Doppel is growing fast. If you're driven to solve real‑world problems with bold technology, we'd love to meet you. What We're Building We're building the AI‑native social engineering defense platform. This means we're designing scalable systems that monitor billions of domains, social media accounts, apps, dark web forums, etc., and leverage AI agents to identify and neutralize digital threats. What We're Looking For We're looking for an experienced full‑stack engineer to help build out our new Simulation product. We only just recently launched it but market traction is growing extremely fast and we need people excited to jump and do whatever it takes to build what our customers desperately want. For example: Build out a “Cursor for phishing simulation” flow that lets users create simulations using natural language. Build out voice deepfakes that use AI to call employees pretending to be their co‑worker. Here are some additional resources on what we built and why. What We Offer 🚀 A mission‑driven culture with low ego, high ownership, deep customer obsession, and exceptional talent density 🍽️ Free lunch and dinner in the office 🌴 Flexible PTO ✈️ Quarterly team offsites Join Doppel Doppel is the first platform built to dismantle digital deception at scale. We scan over 150 million entities daily and deploy continuously adaptive AI SOC agents, paired with expert human analysts, to uncover and disrupt the infrastructure behind phishing, impersonation, and online fraud before attacks can spread. Our Threat Grid turns every customer signal into shared intelligence, making each disruption smarter, faster, and more effective. We're not just another cybersecurity company. We're defining the future of social engineering defense, where trust is protected, and deception becomes unprofitable. Backed by top‑tier investors and trusted by some of the world's most recognized brands, Doppel is growing fast. If you're driven to solve real‑world problems with bold technology, we'd love to meet you. #J-18808-Ljbffr

Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers, and disruptors who solve real problems and meet real customer needs. We are seeking Full Stack Software Engineers who are passionate about marrying data with emerging technologies. As a Capital One Sr. Manager Software Engineer, you'll have the opportunity to be on the forefront of driving a major transformation within Capital One. The Cloud Operations Resilience Engineering (CORE) Technology division is responsible for enabling and evolving Capital One's foundational cloud infrastructure layer, including observability, connectivity, resilience and availability. What You'll Do: Lead a portfolio of diverse technology projects and a team of developers with deep experience in distributed microservices, and full stack systems to create solutions that help meet regulatory needs for the company Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, mentoring other members of the engineering community, and from time to time, be asked to code or evaluate code Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment Utilize programming languages like JavaScript, Java, HTML/CSS, TypeScript, SQL, Python, and Go, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services Basic Qualifications: Bachelor's Degree At least 6 years of experience in software engineering (Internship experience does not apply) At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud) At least 4 years of people management experience Preferred Qualifications: Master's Degree 9+ years of experience in at least one of the following: JavaScript, Java, TypeScript, SQL, Python, or Go 3+ years of experience with AWS, GCP, Microsoft Azure, or another cloud service 4+ years of experience in open source frameworks 7+ years of people management experience 2+ years of experience in Agile practices Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $225,400 - $257,200 for Sr. Mgr, Software Engineering San Francisco, CA: $245,900 - $280,600 for Sr. Mgr, Software Engineering Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance-based incentive compensation, which may include cash bonus(es) and/or long-term incentives (LTI). Incentives could be discretionary or non-discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug‑free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23‑A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at ************** or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to ********************** Capital One does not provide, endorse nor guarantee and is not liable for third‑party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC). #J-18808-Ljbffr

Business runs on contracts. Every dollar earned, relationship formed, and advantage gained comes down to the contract that makes it real. But getting a contract done is more complicated than it should be. And when contract data is buried, leaders can't see risks, obligations, or act in time. Ironclad is the leading AI contracting platform that transforms agreements into assets. Contracts move faster, insights surface instantly, and agents push work forward, all with you in control. Whether you're buying or selling, Ironclad unifies the entire process on one intelligent platform, providing leaders with the visibility they need to stay one step ahead. That's why the world's most transformative organizations, from OpenAI to the World Health Organization and the Associated Press, trust Ironclad to accelerate their business. We're consistently recognized as a leader in the industry: a Leader in the Forrester Wave and Gartner Magic Quadrant for Contract Lifecycle Management, a Fortune Great Place to Work six years running, and one of Fast Company's Most Innovative Workplaces. Ironclad has also been named to Forbes' AI 50 and Business Insider's list of Companies to Bet Your Career On. This is a hybrid role. Office attendance is required at least twice a week on Tuesdays and Thursdays for collaboration and connection. There may be additional in-office days for team or company events. Software Engineer, Platform Infrastructure sits under the umbrella of Product and Engineering and plays a pivotal role in ensuring our developers have the tools, infrastructure, and systems to provide our customers with reliable, secure, and scalable software. Roles & Responsibilities: Be part of the Cloud Platform SRE Team, focused on building our Cloud Platform using modern tools and best practices. Champion SRE best practices within the team and throughout the organization Solve the whole problem. Architecture for resiliency, identify risks, and make it happen. Ability to use a wide variety of open source technologies and tools Understanding of Continuous Integration & Continuous Delivery in the software engineering process and can clearly articulate how a Software Engineer, Platform Infrastructure facilitates these practices in collaboration with the Development, Quality Assurance and Technical Operations teams to drive business goals Ability to demonstrate a clear, energetic and excited interest in automating everything (build, test, release/deploy, monitoring, reporting), which includes Infrastructure as Code Preference for collaboration, open communication and reaching across functional borders Thorough understanding of backup/recovery systems, development automation routines, storage area networks and virtualization Be on an on-call rotation to respond to incidents that impact Ironclad's availability, and provide support with internal or customer-facing incidents Develop an understanding of the near, mid, and long-term needs of the business - and understand how the Platform SRE contributes to its success Influence architectural decisions with a focus on security, scalability, and high performance Be a mentor, multiply our team's output with leadership and guidance Key Skills: 8+ years of professional DevOps / SRE experience. 5+ years of coding (Python, Golang, TypeScript Shell Scripting, Rust, etc), scaling, and architecture work. Experience with Typescript is a plus. Expert knowledge of Docker and Kubernetes Experience with Google Cloud Platform (or similar provider) Experience with Build and Deployment tools such as Terraform, CircleCI, ArgoCD Experience with multi-region support is a plus Experience with ELK Stack, MongoDB, Postgres Strong technical aptitude and exceptional communication skills (written and verbal) Ability to appropriately prioritize and respond to different escalations Troubleshooting and analytical skills, drive to help customers, and the ability to dive deep and learn a new product. Experience and desire to work cross-functionally Team and goal-oriented. High output; low ego Benefits: Health, dental, and vision insurance 401k Wellness reimbursement Take what you need vacation policy Generous parental leave for both primary and secondary caregivers Base Salary Range: $180,000 - $200,000 The base salary range represents the minimum and maximum of the salary range for this position based at our San Francisco headquarters. The actual base salary offered for this position will depend on numerous factors, including individual proficiency, anticipated performance, and the location of the selected candidate. Our base salary is just one component of Ironclad's competitive total rewards package, which also includes equity awards (a new hire grant, along with opportunities for additional awards throughout your tenure), competitive health and wellness benefits, and a commitment to career growth and development. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. #J-18808-Ljbffr

About Us: Parabola is a workflow builder that makes it easy to organize and transform messy data from anywhere-even PDFs, emails, and spreadsheets-so that forward-thinking teams can automate the work they thought would always be manual. Teams at fast-moving companies like Brooklinen, On Running, and Flexport use Parabola to save hundreds of hours and finally take on the projects that used to feel out of reach. Whether it's reconciling inventory across multiple 3PLs, auditing invoices, or manually exporting the same report every Monday, Parabola gives teams the power to automate it-all without needing engineering support. Parabola is backed by OpenView Partners, Matrix Partners, Thrive Capital and more. About the role: As a Senior Site Reliability Engineer on our rapidly growing team, you'll measure how well our software is working, and from that baseline propel us towards high impact improvements that our customers value. Given our small team, your work might span performance, developer experience, security & compliance, and foundational architecture work. You'll also be on‑call and will improve our technical operations, learning as we go. What you'll be doing: Monitoring our core business‑logic software, both via on‑call and in non‑urgent situations: describing its existing behavior and defining SLOs or SLAs that get us (you and we) to respond. Extending and monitoring our infrastructure stack. Because we are B2B, we have fewer raw users, but their usage is often business‑critical and we need the infrastructure for that. Maintaining both a mental and a reified model of our systems: from this model, estimating risk, planning projects, and debugging efficiently. Collaborating with our engineering team and company leadership from your unique lens on site reliability - being vocal and clear in your expertise in this specialization. Working on our core orchestration logic that determines how to efficiently run tens of thousands of workflows at the same time - we recently rebuilt our orchestrator on top of Temporal and we love it! Advising many parallel major backend engineering projects, both early in planning and through release. Join such projects for building from time‑to‑time. Optimizing our services for scalability, stability, and observability as our customer base grows and our product becomes more sophisticated. Improving our developer experience in tactical ways, and improving our overall engineering processes and practices more broadly, especially given the opportunities & pressures of LLM coding agents. What (we think) you'll need to do it: 5+ years of SRE, DevOps, or Platform engineering experience A proven record of building efficient, performant, and easy to extend systems. Has maintained quantitative metrics of site reliability, while also demonstrating judgment about appropriate strictness for SLOs & SLAs. Given our team size, the expectations are somewhat less formal and mature than many SRE teams have; you will both strengthen our approach, but also navigate tradeoffs. Familiarity with containerization and orchestration tools (e.g., Docker, Kubernetes) and how they interact with backend services, and with Linux. Experience implementing and managing AWS infrastructure. You're not afraid to ask for help, and you're happy to give it, too. You're an enthusiastic communicator and you like working with a team that provides both mutual support and thoughtful critique. You're excited to join a hybrid team and work out of our NYC or SF office ~3 days a week. Nice to haves: Experience with Temporal. Experience building AI platforms, or the tooling and systems behind AI products. Familiarity with Kubernetes/Helm (we use Amazon EKS). Experience implementing and deploying infrastructure‑as‑a‑service (IaaS) tools to manage production cloud environments. Experience managing CI/CD pipeline for multiple environments, and developer experience more broadly. Experience building cloud storage or data modeling products. Experience working at early stage startups. Salary Range: $180,000 - $200,000 This salary range represents the minimum and maximum for this role based in San Francisco and New York. The salary given for this position is dependent on multiple factors, including years of experience, interview performance and anticipated responsibilities of the role. Our base salary is one component of Parabola's competitive total package, which also includes equity and premium health and wellness benefits. #J-18808-Ljbffr

A global technology company in San Francisco seeks a Principal Engineer to lead the development of AI-driven developer tools. This senior role involves architecting long-term strategies, influencing cross-functional projects, and driving significant improvements in engineering efficiency. Candidates should have over 15 years of experience in software engineering, demonstrated technical leadership, and expertise in applying AI to enhance productivity. This role offers a competitive salary in a dynamic tech environment. #J-18808-Ljbffr

# Fullstack Web Developerby in#### OverviewAs a Human Resources Coordinator, you will work within a Product Delivery Team fused with UX, engineering, product and data talent. You will help the team design beautiful interfaces that solve business challenges for our clients. We work with a number of Tier 1 banks on building web-based applications for AML, KYC and Sanctions List management workflows. This role is ideal if you are looking to segue your career into the FinTech or Big Data arenas.#### Responsabilities* Be involved in every step of the product design cycle from discovery to developer handoff and user acceptance testing.* Work with BAs, product managers and tech teams to lead the Product Design* Maintain quality of the design process and ensure that when designs are translated into code they accurately reflect the design specifications.* Accurately estimate design tickets during planning sessions.* Contribute to sketching sessions involving non-designers Create, iterate and maintain UI deliverables including sketch files, style guides, high fidelity prototypes, micro interaction specifications and pattern libraries.* Ensure design choices are data led by identifying assumptions to test each sprint, and work with the analysts in your team to plan moderated usability test sessions.* Design pixel perfect responsive UI's and understand that adopting common interface patterns is better for UX than reinventing the wheel* Present your work to the wider business at Show & Tell sessions.#### Requirements* 4+ years of system administration experience with the Microsoft Server platform (2012/2016, Microsoft IIS, Active Directory)* 3+ years of hands-on system administration experience with AWS (EC2, Elastic Load Balancing, Multi AZ, etc.)* 4+ years of SQL Server, MySQL* Working knowledge of Encryption techniques and protocols, Multi-factor authentication, Data protection, Penetration testing, Security threats* Bachelor's Degree, or 4+ years of hands-on IT experience#### Skills* Programming experience developing web applications with the Microsoft .NET stack and a basic knowledge of SQL* Development experience with Angular, Node.JS, or ColdFusion* HTML, CSS, XHTML, XML* Hypervisors, SAN's, load balancers, firewalls, and Web Application Firewall (WAF)* Experience with Higher Logic (a collaboration platform)* MongoDB, Drupal* Mobile App Development (iOS and Android)* Episerver CMS* Microsoft Team Foundation Server* Speaker Management System (Planstone) ExperienceNo ExperienceWork LevelNo ExperienceLocationSan Francisco #J-18808-Ljbffr

We're seeking a Full Stack Software Engineer with strong backend development skills in Python and frontend expertise in React.js. You'll help design, implement, and scale full stack web applications that are secure, performant, and user-centric. Responsibilities Architect, build, and maintain backend services using Python (FastAPI, Flask, Django) Design and implement dynamic and responsive frontends using React.js and/or Vue.js Create and consume RESTful and GraphQL APIs Build reusable components and libraries for frontend use Collaborate across teams to gather requirements, define solutions, and ensure quality Optimize performance and scalability of applications Write unit, integration, and end-to-end tests across the stack Participate in peer code reviews and provide mentorship where appropriate Required Qualifications 5+ years of experience in full stack development M.S. degree in relevant domain required Proficiency with Python and one or more major web frameworks (e.g., FastAPI, Django) Advanced skills in React.js, including Hooks, Context, and state management libraries (e.g., Redux, Zustand) Experience with Vue.js or interest in working across multiple frontend frameworks Familiarity with modern frontend tooling: Webpack, Vite, Babel, ESLint Solid experience with HTML5, CSS3, SASS/SCSS, and responsive UI design Strong understanding of RESTful services, API security, and performance optimization Knowledge of relational databases (PostgreSQL, MySQL) and NoSQL options (MongoDB, Redis) Git and CI/CD best practices (GitHub Actions, CircleCI, GitLab CI) Strong communication skills and a collaborative approach to engineering Preferred Qualifications Familiarity with TypeScript Experience with cloud platforms (AWS, GCP, or Azure) Experience with Docker, Kubernetes, or container orchestration GraphQL and Apollo Client experience Familiarity with microservice architecture Experience working with real-time data (WebSockets, MQTT)

Asana's rapid growth brings new challenges in keeping our systems fast, reliable, and resilient. As our product evolves, we're making a major investment in reliability - and building a brand new SRE team in Warsaw is a key part of that strategy. This is your chance to help shape it from day one. This isn't a traditional “ops” role - we're looking for strong software engineers who are passionate about building reliable, distributed systems. You'll work closely with a small SRE team in San Francisco, infrastructure engineers in Reykjavik, and an established infrastructure team in Warsaw. Warsaw will be a significant hub for our future infrastructure engineering and operations. As one of the first engineers here, you'll have a real say in how we build reliable infrastructure, manage incidents, and support the rest of the company. This role is based in our Warsaw office with an office‑centric hybrid schedule - in‑office days are Monday, Tuesday, and Thursday. We offer a Contract of Employment (UoP) for our employees in Poland. What you'll do: Influence the future of Asana's SRE practice, especially as we grow the Warsaw team. Lead reliability‑focused projects across our stack - from infrastructure to tooling to incident response. Define and implement Asana's incident management process - we're investing here, and you'll help shape how it works. Build internal platforms and frameworks that help other teams improve the reliability of their services. Be part of (and help shape) a sustainable on‑call rotation - shared across teams in Warsaw, San Francisco, and Reykjavik. On average, we handle ~1 page per day, but it's not constant, and we care about keeping things sane. Work with our stack: AWS, Kubernetes (EKS), Datadog, MySQL (RDS), ElasticSearch (OpenSearch), Redis, DynamoDB, Terraform, TypeScript, Scala, Go, and Python. (Yeah, we know this sounds like buzzword bingo - but we want this post to actually show up in your searches.) About you: You're a strong and experienced software engineer who's comfortable writing and reading code - this isn't an ops role. You care about reliability, scalability, and long‑term maintainability, not just quick fixes. You might have worked as an SRE before - or maybe you were a product engineer who kept getting pulled into infra work because you cared about how systems actually run. You've seen systems at scale (or want to), and you're excited about solving infrastructure problems that have broad impact. You're curious, take initiative, and aren't afraid to work in ambiguous spaces - especially important on a brand new team. You collaborate well across teams and want to help others build more reliable systems. You don't need to know our exact stack, but you're eager to learn whatever it takes to make things better. You demonstrate curiosity about AI tools and emerging technologies, with a willingness to learn and leverage them to enhance productivity, collaboration, or decision‑making. Why this role? Founding team: You'll be one of the first SREs in Warsaw - and a key player in a growing team. Drive real change: This isn't a role where you'll just patch up legacy systems. We are expecting (and supporting) real architectural changes to improve reliability, scalability, and long‑term operability. Big impact: Our product is scaling fast, and reliability is a top company priority. Room to grow: As this team grows, so will your influence - whether you want to lead projects, mentor others, or help shape how we scale. Global collaboration: Work closely with experienced engineers in San Francisco, Reykjavik, and Warsaw, while helping build the future of SRE at Asana. What we offer: Generous, transparent and fair compensation system (base salary and generous Restricted Stock Unit for Asana Inc.). Contract of Employment (with 50% tax deductible costs for author's rights usage for Engineers). Health insurance with dental and travel coverage (Lux Med). Lunch catering on the days that you work from the office. Career growth budget. Home office setup budget. Gym/Fitness reimbursement. Fertility healthcare and family‑forming support with Carrot. Mental health support in Modern Health. Group life insurance. MacBooks with all necessary accessories. For this role, the estimated base salary range is between 23 000 and 33 000 PLN gross monthly on the contract of employment (UoP). The actual base salary will vary based on various factors and individual qualifications objectively assessed during the interview process. The listed range above is a guideline, and the base compensation range for this role may be modified. Our total compensation consists of base salary and equity (RSUs). About us Asana is a leading platform for human + AI collaboration. Millions of teams around the world rely on Asana to achieve their most important goals, faster. Asana has been named to Fortune's Best Workplaces for 7+ years and recognized by Fast Company, Forbes, and Gartner for excellence in workplace culture and innovation. We offer an exceptional office‑centric culture while adopting the best elements of hybrid models to ensure that every one of our global team members can work together effortlessly. With 13+ offices all over the world, we are always looking for individuals who care about building technology that drives positive change in the world and a culture where everyone feels that they belong. Join Asana's Talent Network to stay up to date on job opportunities and life at Asana. #J-18808-Ljbffr

💻 Staff / Principal Software Engineer - AI Platform (LLMs & RAG) 📋 GenAI Healthcare 📍 Hybird in SF 💸 Competitive base + hefty bonus We are working with a pioneering generative AI-native health company revolutionizing hyper-personalized care. Its precision care platform empowers physicians with AI-driven copilots, enabling a new era of whole-person care through generative and predictive intelligence. They tap into cutting-edge resources, have an extensive dataset covering 100s million patients and a network of 1.8 million healthcare professionals across 300,000 facilities. The company brings together top healthcare and technology experts, operators, and leading clinical advisors to drive innovation in precision medicine. We are seeking a Staff / Principal Software Engineer to provide technical leadership in building, scaling, and operating LLM-powered healthcare applications, with a strong emphasis on Retrieval-Augmented Generation (RAG), knowledge systems, and AI-native backend architectures. This role is ideal for a senior technical leader who has designed and productionized LLM systems, worked with clinical, healthcare, or healthtech data, and can operate at both architectural and implementation depth. You will play a critical role in shaping the AI platform that powers clinician-facing copilots and decision-support tools, while ensuring correctness, safety, scalability, and regulatory compliance. Responsibilities: LLM & RAG System Architecture Design, build, and evolve scalable LLM-based systems, including RAG pipelines, prompt orchestration, embedding strategies, vector search, and inference workflows. Architect knowledge retrieval systems that combine structured and unstructured clinical data (guidelines, policies, patient context, claims, formularies, etc.). Healthcare & Clinical AI Applications Develop AI services that operate on healthcare and clinical data while respecting FHIR, HL7, HIPAA, and other regulatory and compliance requirements. Partner closely with clinical, product, and data science teams to translate real-world clinical workflows into reliable AI-driven experiences. AI Platform & Backend Engineering Build and maintain backend services and APIs supporting LLM inference, evaluation, observability, and lifecycle management. Implement fault-tolerant, secure, and high-availability systems capable of operating at healthcare scale. Evaluation, Safety & Quality Lead the design of LLM evaluation frameworks (hallucination detection, grounding, faithfulness, latency, cost, and clinical relevance). Establish best practices for prompt management, model versioning, human-in-the-loop workflows, and continuous improvement using feedback signals. Technical Leadership & Mentorship Act as a technical authority across teams, influencing architecture decisions and long-term platform strategy. Mentor senior and mid-level engineers, set engineering standards, and raise the bar on system design and code quality. Cross-Functional Collaboration Work closely with data engineering, data science, security, and product leadership to align AI capabilities with business and clinical objectives. Minimum Qualifications: Bachelor's or Master's degree in Computer Science, Engineering, or a related field. 10+ years of professional software engineering experience, with 3+ years working directly with LLM-based systems in production environments. Hands-on experience designing and deploying RAG architectures, including embeddings, vector databases, retrieval strategies, and prompt orchestration. Strong proficiency in Python and experience with modern backend stacks (REST/gRPC APIs, async systems, microservices). Experience working in healthtech, healthcare, life sciences, or clinical data environments, including exposure to regulated data. Proven ability to design systems that are scalable, secure, observable, and maintainable. Preferred Qualifications: Experience integrating LLMs with EHR data, clinical guidelines, prior authorization rules, quality measures, or real-world evidence datasets. Familiarity with LLM evaluation tooling and frameworks (e.g., RAGAS, custom eval pipelines, automated and human feedback loops). Experience with cloud-native architectures (preferably Azure) and containerized deployments. Knowledge of data privacy, governance, and security best practices in healthcare environments. Experience influencing technical direction at Staff or Principal scope across multiple teams or systems. Benefits: Competitive salary and performance-based bonuses. Opportunities for professional growth and leadership in a rapidly scaling AI-native healthcare company. Collaborative, mission-driven work environment with top-tier clinical and technical talent. Opportunity to build cutting-edge AI systems with real-world clinical impact. 📧 Interested in applying? Please click on the ‘Easy Apply' button

A leading technology company in San Francisco is seeking a Salesforce Senior Engineering Project Manager to oversee complex engineering projects. The ideal candidate will have strong leadership skills, extensive experience in Agile methodologies, and a track record of delivering projects on time. Responsibilities include managing project budgets, identifying risks, and ensuring quality throughout the project lifecycle. Competitive compensation and comprehensive benefits are offered. #J-18808-Ljbffr

A leading recruitment agency is seeking an Entry-Level Corporate Development Analyst to join its exclusive talent network. This role is part of a highly desirable sector offering some of the highest compensation packages in early finance, with a projected total compensation ranging from $110,000 to $150,000 or more. This is an excellent opportunity for individuals looking to launch their careers in corporate development and M&A, providing access to premium job opportunities. #J-18808-Ljbffr

Join the engineering teams that bring OpenAI's ideas safely to the world!! The Applied Engineering team works across research, engineering, product, and design to bring OpenAI's technology to consumers and businesses. We seek to learn from deployment and distribute the benefits of AI, while ensuring that this powerful tool is used responsibly and safely. Safety is more important to us than unfettered growth. About the Role As OpenAI continues to grow, we are looking for experienced, problem-solving engineers to ensure our systems scale. Our success depends on our ability to quickly iterate on products while also ensuring that they are performant and reliable. You will work in a deeply iterative, collaborative, fast-paced environment to bring our technology to millions of users around the world, and ensure it's delivered with safety and reliability in mind. Successful candidates will play a crucial role in ensuring the reliability, scalability, and performance of our systems as we continue to expand. As a reliability expert, you will be at the forefront of maintaining and enhancing the stability, scalability, and performance of our rapidly evolving infrastructure. You will work closely with cross-functional teams, including software engineers, product managers, and data scientists, to build and maintain resilient systems that can handle our growing user base and workload. In this role, you will: Design and implement solutions to ensure the scalability of our infrastructure to meet rapidly increasing demands. Collaborate with development teams to make the systems they design and operate more reliable. Implement and manage monitoring systems to proactively identify issues and anomalies in our production environment. Develop and maintain service level objectives (SLOs) and service level indicators (SLIs) to measure and ensure system reliability. Implement fault-tolerant and resilient design patterns to minimize service disruptions. Build and maintain automation tools to streamline repetitive tasks and improve system reliability. Partner with researchers, engineers, product managers, and designers to bring new features and research capabilities to the world. Participate in an on-call rotation to respond to critical incidents and ensure 24/7 system availability. You might thrive in this role if you: Enjoy seeking out and addressing bottlenecks and areas for performance improvement in our systems. Utilize Infrastructure as Code (IaC) principles to automate infrastructure provisioning and configuration management. Are experienced in collaborating with cross-functional teams to ensure that reliability and scalability are considered in the design and development of new features and services. Have a track record of accelerating engineering reliability by empowering your fellow engineers with excellent tooling and systems. Have a humble attitude, an eagerness to help your colleagues, and a desire to do whatever it takes to make the team succeed. Own problems end-to-end, and are willing to pick up whatever knowledge you're missing to get the job done. Qualifications: Bachelor's degree in Computer Science, Information Technology, or a related field (or equivalent work experience). Proven experience as an reliability engineer or a similar role in a fast-paced, rapidly scaling company. Strong proficiency in cloud infrastructure. Proficiency in programming/scripting languages. Experience with containerization technologies and container orchestration platforms like Kubernetes. Knowledge of IaC tools such as Terraform or CloudFormation. Excellent problem-solving and troubleshooting skills. Strong communication and collaboration skills. Experience with observability tools such as DataDog, Prometheus, Grafana, Splunk and ELK stack. Experience with microservices architecture and service mesh technologies. Knowledge of security best practices in cloud environments. This role is exclusively based in our San Francisco HQ. We offer relocation assistance to new employees. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI's Affirmative Action and Equal Employment Opportunity Policy Statement. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link. OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology. #J-18808-Ljbffr

We're seeking a Full Stack Software Engineer with strong backend development skills in Python and frontend expertise in React.js. You'll help design, implement, and scale full stack web applications that are secure, performant, and user-centric. Responsibilities Architect, build, and maintain backend services using Python (FastAPI, Flask, Django) Design and implement dynamic and responsive frontends using React.js and/or Vue.js Create and consume RESTful and GraphQL APIs Build reusable components and libraries for frontend use Collaborate across teams to gather requirements, define solutions, and ensure quality Optimize performance and scalability of applications Write unit, integration, and end-to-end tests across the stack Participate in peer code reviews and provide mentorship where appropriate Required Qualifications 5+ years of experience in full stack development M.S. degree in relevant domain required Proficiency with Python and one or more major web frameworks (e.g., FastAPI, Django) Advanced skills in React.js, including Hooks, Context, and state management libraries (e.g., Redux, Zustand) Experience with Vue.js or interest in working across multiple frontend frameworks Familiarity with modern frontend tooling: Webpack, Vite, Babel, ESLint Solid experience with HTML5, CSS3, SASS/SCSS, and responsive UI design Strong understanding of RESTful services, API security, and performance optimization Knowledge of relational databases (PostgreSQL, MySQL) and NoSQL options (MongoDB, Redis) Git and CI/CD best practices (GitHub Actions, CircleCI, GitLab CI) Strong communication skills and a collaborative approach to engineering Preferred Qualifications Familiarity with TypeScript Experience with cloud platforms (AWS, GCP, or Azure) Experience with Docker, Kubernetes, or container orchestration GraphQL and Apollo Client experience Familiarity with microservice architecture Experience working with real-time data (WebSockets, MQTT)