software engineer

security engineer

backend engineer, api Jobs in San Francisco

backend engineer, api

backend engineer, integrations Jobs in San Francisco

backend engineer, integrations

backend software engineer Jobs in San Francisco

backend software engineer

platform engineer

HARVEY

<div><div><h2 class="jobSectionHeader">Location</h2>
San Francisco
</div><div><h2 class="jobSectionHeader">Employment Type</h2>
Full time
</div><div><h2 class="jobSectionHeader">Location Type</h2>
Hybrid
</div><div><h2 class="jobSectionHeader">Department</h2>
Engineering
</div><div><h2 class="jobSectionHeader">Compensation</h2>
<ul><li>$161.3K &ndash; $241.9K &bull; Offers Equity &bull; Offers Bonus</li>
</ul><div>Additionally, this role is eligible to participate in our equity plan and benefits program. Benefits include, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits (401k match up to 4%), and flexible PTO.</div></div></div>
 <div><h1 class="jobSectionHeader">Why Harvey</h1>
At Harvey, we&rsquo;re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we&rsquo;re reshaping how critical knowledge work gets done for decades to come.
This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We&rsquo;re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth &mdash; personal, professional, and financial &mdash; is unmatched.
Our team moves fast, takes ownership, and is deeply committed to the mission &mdash; operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you.
At Harvey, the future of professional services is being written today &mdash; and we&rsquo;re just getting started.
<h1 class="jobSectionHeader">Role Overview</h1>
Harvey is building the AI platform trusted by the world&rsquo;s leading law firms and enterprises. Our infrastructure is the foundation that powers every customer interaction, every model inference, and every production workload.
We&rsquo;re looking for a Production Engineer to help build and operate Harvey&rsquo;s core compute and networking infrastructure, Kubernetes platform, workflow orchestration platform, and production infrastructure foundations. You&rsquo;ll work on the systems that enable engineering teams to move quickly and operate reliable services at scale.
In this role, you&rsquo;ll improve the reliability, scalability, security, and efficiency of Harvey&rsquo;s infrastructure platform. You&rsquo;ll solve complex production challenges across compute fleet management, capacity planning, infrastructure automation, and production operations. You&rsquo;ll partner closely with Product Engineering, Security, AI Infrastructure, and Platform teams to ensure our infrastructure scales with Harvey&rsquo;s rapid growth.
At Harvey, we value Decisiveness, Simplicity, and the belief that Job&rsquo;s Not Finished. We move quickly, prioritize clarity, and continuously raise the bar for engineering excellence.
<h1 class="jobSectionHeader">What You'll Do</h1>
<h2 class="jobSectionHeader">Infrastructure Engineering &amp; Technical Leadership</h2>
<ul><li>Design, build, and operate the production infrastructure that powers Harvey&rsquo;s products and AI workloads.
</li><li>Drive technical direction across compute infrastructure, networking, Kubernetes, workflow orchestration, and production operations.
</li><li>Lead complex, cross-functional technical initiatives that improve reliability, scalability, security, operational efficiency, and infrastructure cost.
</li><li>Partner with Product Engineering, Security, AI Infrastructure, and Platform teams to translate product and business requirements into resilient infrastructure solutions.
</li><li>Establish reusable patterns, tooling, and paved paths that help engineering teams ship and operate production services safely.
</li><li>Raise the engineering bar through thoughtful design reviews, clear technical documentation, operational rigor, and mentorship.
</li></ul><h2 class="jobSectionHeader">Infrastructure Foundation &amp; Production Operations</h2>
<ul><li>Build and operate Harvey&rsquo;s global compute and network infrastructure, ensuring high availability, scalability, reliability, and performance.
</li><li>Improve compute utilization, performance, and service availability while supporting rapidly growing AI workloads.
</li><li>Develop capacity models, demand forecasts, and fleet lifecycle automation to help infrastructure scale efficiently with business growth.
</li><li>Operate and continuously improve Harvey&rsquo;s Kubernetes platform, including cluster provisioning, upgrades, networking, monitoring, reliability, performance, and operational automation.
</li><li>Drive infrastructure cost efficiency through capacity management, resource rightsizing, workload optimization, and utilization monitoring.
</li><li>Build secure infrastructure foundations, including identity and access management, network isolation, secrets management, auditing, and compliance controls.
</li><li>Develop scalable Infrastructure-as-Code and automation frameworks using technologies such as Terraform and Pulumi.
</li><li>Improve observability, monitoring, alerting, incident response, and operational readiness across the infrastructure platform.
</li><li>Participate in the on-call rotation, lead incident response when needed, and turn production learnings into durable engineering improvements.
</li></ul><h1 class="jobSectionHeader">What You Have</h1>
<ul><li>5+ years of software, infrastructure, site reliability, or production engineering experience.
</li><li>Deep experience building and operating large-scale cloud infrastructure on AWS, Azure, or Google Cloud Platform.
</li><li>Strong hands-on experience operating Kubernetes in production, including cluster lifecycle management, networking, and reliability.
</li><li>Experience building and operating distributed systems with strong reliability, scalability, and performance characteristics.
</li><li>Experience with infrastructure automation and Infrastructure-as-Code using tools such as Terraform or Pulumi.
</li><li>Strong understanding of compute infrastructure, networking, capacity planning, fleet management, and production operations.
</li><li>Experience designing and operating observability systems, including monitoring, logging, alerting, and incident response.
</li><li>Strong understanding of infrastructure security, including IAM, network security, secrets management, and compliance best practices.
</li><li>A track record of driving complex, cross-functional technical initiatives and influencing engineering decisions without relying on formal authority.
</li><li>Excellent communication skills and the ability to explain technical concepts clearly to engineering partners and other stakeholders.
</li><li>A systems-thinking mindset and a passion for building simple, reliable, and scalable infrastructure platforms.
</li></ul><h2 class="jobSectionHeader">Nice to Have</h2>
<ul><li>Experience supporting AI/ML or LLM infrastructure at scale.
</li><li>Experience operating GPU fleets, high-performance compute infrastructure, or large-scale capacity planning.
</li><li>Experience with multi-cloud infrastructure or hybrid cloud environments.
</li><li>Experience building internal platforms or developer tooling that improves engineering velocity and production safety.
</li></ul><h1 class="jobSectionHeader">Compensation</h1>
$161,300 - $241,900 USD
<h3 class="jobSectionHeader">Depending on your location, an Applicant Privacy Notice may apply to you. You can find all of our Applicant Privacy Notices here.</h3>
#LI-AN2
Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai</div>

Senior Software Engineer, Production Engineering

Artificial Analysis

<div>Job Description &ndash; Member of Technical Staff
Location: San Francisco (preferred), Sydney, Melbourne, Brisbane
About Artificial Analysis
Artificial Analysis is the leading independent AI benchmarking company. We support labs, engineers and enterprises to understand AI capabilities and make critical decisions about their AI strategies. We are the go-to authority for understanding AI, from AI labs and enterprises to media, investors, and policymakers. Our benchmarks don&rsquo;t just measure the cutting edge of AI, they are actively shaping the frontier.
Our benchmarks and analysis are trusted by hundreds of thousands of users and are the go-to reference for leading AI labs including OpenAI, Google, Meta, NVIDIA and Anthropic, and major publications including the Wall Street Journal, Bloomberg, the Financial Times and The Economist.
We are a team of 40+, on track to double by end of year, backed by Nat Friedman (GitHub, Meta), Daniel Gross (SSI, Meta), Andrew Ng (Google Brain, DeepLearning.ai, Amazon), Adam D&rsquo;Angelo (Quora, Poe, OpenAI), Clem Delangue (Hugging Face) and other industry leaders.
The Opportunity
Our benchmarks and analysis are what the industry turns to when they need to understand AI capabilities, from AI labs and enterprises to media, investors, and policymakers. This role puts you at the forefront of the AI Frontier &ndash; you won&rsquo;t just observe the cutting edge of AI, your work will define what cutting edge means.
We&rsquo;re hiring Members of Technical Staff to design the evaluations that set the standard for how AI is measured, produce analysis that shapes how companies and the broader industry understand AI, and work directly with the leading AI labs and enterprises who rely on our insights. You&rsquo;ll develop new benchmarking methodologies, manage relationships with some of the most important AI labs and enterprise customers in the world, and help drive the product direction of our platform. The bar for success is becoming a world expert in modern AI technologies.
This is a unique combination of product, research, technical, and client-facing work, suited to highly driven technical generalists who thrive on breadth and ownership. Many of our strongest team members come from top-tier strategy consulting backgrounds, though we hire from a range of disciplines.
You&rsquo;ll work directly with our founders and across the full team. The people who join now will have an outsized role in shaping both our products and the company itself. The coming wave of AI scaling is going to change the world in ways we don&rsquo;t yet understand - and we&rsquo;re offering a front row seat.
What You&rsquo;ll Do<ul><li>AI Benchmarking Product Development: Structure, design and execute projects to evaluate AI systems and technologies, including developing new AI evaluation methodologies and datasets that advance our benchmarking capabilities</li><li>Strategic Analysis of AI: Drive developing reports and data visualizations to communicate complex AI concepts to enterprises looking to shape their AI strategy</li><li>Partner with Leading AI Companies: Collaborate with leading AI companies to support them in benchmarking their technologies, from agentic AI applications to models to hardware. This also requires identifying opportunities to enhance our leading AI benchmarking platform and working with our developers to make it happen</li><li>Become AI-Native: Embrace an AI-native workflow, using cutting-edge AI tools to generate leverage in a fast-changing industry and maintain our competitive edge in AI benchmarking</li><li>Company Strategy: We are a startup and are looking for the future leaders of Artificial Analysis. Team members will be expected to contribute to company strategy and should expect to drive large initiatives that will support us in being the leading AI benchmarking company</li></ul>
What We&rsquo;re Looking For
You have an intense interest in AI, a genuine desire to become a world expert in the field, and strong analytical and coding skills to back it up.
We hire MTS from three backgrounds. You should clearly fit one of these profiles:
Strategy Consulting
Backgrounds include: Management Consultant, Associate, Engagement Manager, Data Scientist, or similar roles at firms like McKinsey, BCG, Bain, or equivalent. Strong preference will be given to candidates with experience within a Data Analytics division such as QuantumBlack, AI by McKinsey, BCG X or equivalent.
You know how to structure ambiguous problems, build analytical frameworks, and communicate findings to senior stakeholders. You&rsquo;re now looking to apply those skills to something deeply technical. The key differentiator: you have a genuine technical interest in AI and ability to code. You follow model releases, you have opinions on where the technology is heading, and you want to be closer to the subject matter than consulting allows.
AI and Machine Learning
Backgrounds include: ML Engineer, ML Researcher, AI Engineer, Forward Deployed Engineer, Technical PM, Solutions Engineer, Technical Pre-Sales, or similar roles at AI companies or AI-focused teams.
You have hands-on experience with modern AI systems and understand how models work at a technical level. You&rsquo;re looking for a role with more breadth and industry exposure than a pure research, engineering, or PM position, where you can combine technical depth with client-facing work and strategic analysis.
Technical Product Management
Backgrounds include: Founding Engineer, Product Manager, Technical Co-founder, Head of Product, or generalist roles at early-stage AI companies.
You&rsquo;ve built and shipped AI products in a fast-moving environment where you had to operate across research, engineering, product, and commercial work simultaneously. You understand both how AI systems work technically and how they get brought to market. You&rsquo;re looking for a role where that breadth is the job, not a side effect of being early at a small company.
Across all three profiles, we require:<ul><li>3+ years of relevant professional experience</li><li>Strong analytical and critical thinking skills</li><li>Proficiency in Python and data analysis</li><li>Genuine, demonstrable interest and knowledge of Frontier AI. We want people who have informed opinions about where AI is heading, not just people who use AI tools</li></ul>
Why Artificial Analysis?<ul><li>Shape how AI gets built: The leading AI labs track our benchmarks and use them to guide their development priorities. Your work will directly influence the direction of AI.</li><li>Become a world expert in AI: You will evaluate every major model, across every major capability, as they are released. Very few roles offer this breadth of exposure to frontier AI.</li><li>Work with the most important players in AI: You&rsquo;ll manage relationships with teams at the leading AI labs and major enterprises as a trusted, independent voice.</li><li>Join at a defining moment: We&rsquo;re 40+ people, on track to double by end of year, backed by some of the most connected investors in AI. The people who join now will shape the product, the team, and the strategy as we scale.</li><li>Competitive compensation including equity</li></ul>
1</div>

Member of Technical Staff

Writer

<div><h3 class="jobSectionHeader">About WRITER</h3>
WRITER is where the world's leading enterprises orchestrate AI-powered work. Our vision is to expand human capacity through superintelligence. And we're proving it's possible &ndash; through powerful, trustworthy AI that unites IT and business teams together to unlock enterprise-wide transformation. With WRITER's end-to-end platform, hundreds of companies like Mars, Marriott, Uber, and Vanguard are building and deploying AI agents that are grounded in their company's data and fueled by WRITER's enterprise-grade LLMs. Valued at $1.9B and backed by industry-leading investors including Premji Invest, Radical Ventures, and ICONIQ Growth, WRITER is rapidly cementing its position as the leader in enterprise generative AI.
Founded in 2020 with office hubs in San Francisco, New York City, Seattle, Austin, Chicago, and London, our team thinks big and moves fast, and we're looking for smart, hardworking builders and scalers to join us on our journey to create a better future of work with AI.<div> 
</div><h3 class="jobSectionHeader">
About the role</h3>
As a deployment engineer at WRITER, you'll be at the forefront of expanding human capacity through superintelligence. This isn't just a technical role; it's a deeply influential one where you'll partner directly with our leading enterprise customers. Your expertise will be crucial in uncovering their unique business challenges and architecting AI-powered solutions that leverage our powerful platform and enterprise-grade LLMs. You'll transform complex needs into tangible, high-impact applications, creating champions and driving tangible business results. Your builder's mentality and passion for bringing cutting-edge AI into the hands of real users will directly shape the future of work for some of the world's largest companies.
This is a critical role that directly impacts our customers' success and product evolution. You'll contribute significantly to WRITER's mission, working with a dynamic team to push the boundaries of what's possible with generative AI.
This is a hybrid role based out of our San Francisco, Chicago, Austin, New York City, Seattle, and London hubs.<div> 
</div><h3 class="jobSectionHeader">
What you'll do</h3><ul><li>
Partner deeply with enterprise customers to identify strategic AI use cases, validating technical feasibility and owning the end-to-end implementation of tailored solutions</li><li>
Architect and deliver custom applications, templates, and integrations leveraging WRITER's platform, APIs, and Knowledge Graph capabilities to solve complex business challenges</li><li>
Translate intricate technical concepts and platform capabilities into clear, prescriptive solution recommendations, guiding customers through the generative AI landscape</li><li>
Collaborate relentlessly with internal Product and Engineering teams, providing crucial customer feedback that directly influences our product roadmap and drives continuous innovation</li><li>
Drive down customer time-to-value by developing scalable processes, robust documentation, and efficient workflows for technical integrations</li><li>
Champion the successful adoption and expansion of WRITER's AI solutions within customer accounts, ensuring maximum impact and return on investment</li></ul><div> 
</div><h3 class="jobSectionHeader">
️ What you need</h3><ul><li>
Over 5 years of hands-on experience in technical SaaS roles, with at least 3 years specifically in solutions architecture, technical consulting, or technical account management</li><li>
Deep technical fluency in Python and extensive experience leveraging APIs, especially in designing sophisticated prompts and understanding linguistic principles for AI applications</li><li>
Proven track record of architecting and delivering complex technical solutions for Fortune 500 enterprises in a fast-paced, high-growth B2B SaaS environment</li><li>
Exceptional communication and executive presence, capable of simplifying complex AI concepts for diverse audiences, from technical teams to C-suite leadership</li><li>
A true builder's mindset with a passion for emerging technologies, always eager to experiment, learn, and iterate in the rapidly evolving world of generative AI</li><li>
A relentless drive to Connect with customers and internal teams, Challenge the status status quo with innovative solutions, and Own the successful outcomes for our most strategic accounts</li></ul> 
Benefits &amp; perks (US Full-time employees)<ul><li>
Generous PTO, plus company holidays</li><li>
Medical, dental, and vision coverage for you and your family</li><li>
Paid parental leave for all parents (16 weeks)</li><li>
Fertility and family planning support</li><li>
Early-detection cancer testing through Galleri</li><li>
Flexible spending account and dependent FSA options</li><li>
Health savings account for eligible plans with company contribution</li><li>
Annual work-life stipends for:<ul><li>
Wellness stipend for gym, massage/chiropractor, personal training, etc.</li><li>
Learning and development stipend</li></ul></li><li>
Company-wide off-sites and team off-sites</li><li>
Competitive compensation, company stock options and 401k</li></ul>
WRITER is an equal-opportunity employer and is committed to diversity. We don't make hiring or employment decisions based on race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other basis protected by applicable local, state or federal law. Under the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
By submitting your application on the application page, you acknowledge and agree to WRITER's Global Candidate Privacy Notice.
Compensation Range: $131.8K - $185K</div>

AI deployment engineer (West)

Faire

<div><div>About Faire

Faire is a technology wholesale platform built on the belief that the future is local. Independent retailers around the globe collectively represent a multi-hundred-billion-dollar wholesale market that has historically been fragmented and offline. At Faire, we're using the power of tech, data, and machine learning to connect this thriving community of entrepreneurs across the globe. Picture your favorite boutique in town &mdash; we help them discover the best products from around the world to sell in their stores. With the right tools and insights, we believe that we can level the playing field so businesses can grow and local communities can thrive.

We're looking for smart, resourceful and passionate people to join us as we power the shop local movement. If you believe in community, come join ours.</div>
About the role:

As a Senior Enterprise Security Engineer, you will help protect Faire's corporate environment across endpoint, network, identity, and SaaS, and play a key role in how we govern the safe use of AI across the company. You will apply secure-by-default standards, champion zero trust, and turn strategy into practical controls, automation, and guidance that teams adopt. Working across leadership pillars, you will help shape our AI governance approach and own much of how it gets put into practice. This is a role for someone who is strong hands-on and ready to grow their scope and influence across IT, Engineering, Legal, People, Finance, and Product.

What You'll Do:
<ul>
<li>Help shape and operate Faire's AI governance program: acceptable-use standards, data protection for AI tools, vendor and model risk review, and safe patterns for AI-assisted work (including agent and MCP-based integrations).</li>
<li>Partner with IT teams to harden endpoint management, corporate infrastructure, identity services, and networking.</li>
<li>Design and implement controls that protect company information from unauthorized access, disclosure, or misuse.</li>
<li>Support and help run our endpoint detection and response platform, email security stack, and phishing simulation and awareness programs.</li>
<li>Build the guardrails and enablement that let teams experiment with AI quickly without creating new exposure, partnering with Engineering rather than duplicating their work.</li>
<li>Advise employees on securing endpoints, office AV, and network gear, and publish clear runbooks.</li>
<li>Build and deliver training that grows a culture of security, accountability, and practical awareness.</li>
<li>Track emerging threats, including AI-specific risks, and make recommendations to improve our posture.</li>
</ul>
What It Takes:
<ul>
<li>5+ years in enterprise security with hands-on experience.</li>
<li>Practical experience in at least two of these areas: endpoint security, network security, data security, security operations, threat management, AI governance and security.</li>
<li>Exposure to enterprise AI governance and security (e.g. AI platform management, AI tool or MCP security review, prompt guardrailing), with the interest and ability to grow into owning more of it.</li>
<li>Experience writing policies and processes and supporting audits for frameworks such as ISO 27001, SOX, and SOC 2 Type II.</li>
<li>Strong written and verbal communication.</li>
<li>Analytical, outcomes-driven mindset with a bias for action.</li>
<li>Ability to influence others through empathy and relationship-building.</li>
<li>A passion for programming and solving problems with code (Python, Ruby, or Go).</li>
</ul><h4 class="jobSectionHeader">Salary Range:</h4>

San Francisco: the pay range for this role is $174,500 - $240,000 per year.

This role will also be eligible for equity and benefits. Actual base pay will be determined based on permissible factors such as transferable skills, work experience, market demands, and primary work location. The base pay range provided is subject to change and may be modified in the future.<div>
Hybrid Faire employees currently go into the office 3 days per week on Tuesdays, Thursdays, and a third flex day of their choosing (Monday, Wednesday, or Friday). Additionally, hybrid in-office roles will have the flexibility to work remotely up to 4 weeks per year. Specific Workplace and Information Technology positions may require onsite attendance 5 days per week as will be indicated in the job posting. 

Why you'll love working at Faire
<ul>
<li>Move fast: You'll own meaningful problems that serve customers around the globe with the agency to move fast and see your results clearly.</li>
<li>Equipped to scale: We invest in what matters, including the latest enterprise AI tools, to help you work smarter and get more out of every day.</li>
<li>Best in class: Our team is full of sharp, kind, and generous colleagues who care about their craft and about helping you grow in yours.</li>
<li>Real rewards. Competitive pay, equity, and comprehensive benefits designed to support your life inside and outside of work.</li>
<li>Belonging: We're intentional about building an environment where every Faire employee has equal access to opportunities, growth, and success.</li>
</ul>
Faire was founded in 2017 by a team of early product and engineering leads from Square. We're backed by some of the top investors in retail and tech including: Y Combinator, Lightspeed Venture Partners, Forerunner Ventures, Khosla Ventures, Sequoia Capital, Founders Fund, and DST Global. We have headquarters in San Francisco and Kitchener-Waterloo, and a global employee presence across offices in Toronto, London, and New York. To learn more about Faire and our customers, you can read more on our blog.

Faire provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity or gender expression.

Faire is committed to providing access, equal opportunity and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. Accommodations are available throughout the recruitment process and applicants with a disability may request to be accommodated throughout the recruitment process. We will work with all applicants to accommodate their individual accessibility needs. To request reasonable accommodation, please fill out our Accommodation Request Form (https://bit.ly/faire-form)

Privacy

For information about the type of personal data Faire collects from applicants, as well as your choices regarding the data collected about you, please visit Faire's Privacy Notice (https://www.faire.com/privacy)</div></div>

Senior Enterprise Security Engineer

<div><h1 class="jobSectionHeader">Why Join Ivo?</h1>
Every civilization runs on the same infrastructure: agreements between people who don't fully trust each other. Sumerians pressed them into clay. Romans carved them into stone. We bury them in 80-page PDFs.
The way those agreements are reviewed hasn't changed in four thousand years - a human reads the whole thing and tries not to miss anything. We're building the AI that finally changes that. Ivo is the contract intelligence platform of choice for companies like Uber, Meta, Canva, IBM, and Shopify. We recently raised our Series B and have grown 800% over the last 12 months.<h1 class="jobSectionHeader">
Engineering at Ivo</h1>
Engineers at Ivo are inventors. Ivo was first-to-market with:<ul><li>An AI agent that lives in MS word and edits the document for you [2023]</li><li>Ditching imprecise embeddings models in favor of agentic RAG [2023]</li><li>Large-scale LLM-based legal fact extraction [2024]</li><li>A legal assistant that can search large contract databases, without sacrificing accuracy [2024]</li><li>Clustering legal documents descended from the same family [2025]</li><li>Automatic deviation analysis to locate buried risk in huge contract databases [2025]</li><li>Merging contracts with their amendments to make a time series of &ldquo;composite&rdquo; contracts (a customer actually cried when we showed her this) [2025]</li></ul><h1 class="jobSectionHeader">
The Role: Why, What and the Who</h1>
Why? Infrastructure Engineers build the foundation for Ivo&rsquo;s entire platform. Customers are cagey about their contracts, so each customer gets their isolated environment with containers, database, VPC, etc. Things break. Regions go down. Cloud and LLM providers have &ldquo;incidents.&rdquo; Customers still expect us to hit our SLAs.
What? We&rsquo;re looking for a Staff DevOps Engineer as part of Infrastructure team to:<ul><li>
Build and maintain Docker-based environments across dev/staging/prod</li><li>
Own and improve our deployment and release pipelines (GitHub Actions)</li><li>
Manage infrastructure using Pulumi (Infrastructure as Code)</li><li>
Support backend services (APIs, workers, jobs) and frontend apps (builds, deployments, performance issues)</li><li>
Debug issues across the stack: infra backend frontend</li><li>
Improve developer experience: faster builds, cleaner environments</li><li>
Help define and improve CI/CD workflows</li><li>
Automate repetitive processes wherever possible</li></ul>
Who? We need someone with:<ul><li>
Minimum 7 years of experience</li><li>
Strong expertise in DevOps / infrastructure + some full-stack exposure</li><li>
Hands-on experience with Pulumi (or similar IaC tools like Terraform), Docker / containerization, GitHub + CI/CD pipelines</li><li>
Good debugging skills: debugging ambiguous issues, tracing problems across systems</li></ul>
This isn&rsquo;t a &ldquo;keep the lights on&rdquo; role. You&rsquo;ll be building the system that keeps the company running. In addition to helping us run a solid, high-performance distributed system, we&rsquo;d love someone who&rsquo;s as excited about LLMs as we are. You&rsquo;d be deeply embedded into the engineering team and highly encouraged to push the frontiers.<h1 class="jobSectionHeader">
Ivo might be a good fit for you if you:</h1><ul><li>
You love writing code, but you love having impact more: We&rsquo;re a team of engineers at heart, but our #1 goal is building the best possible product. That means making pragmatic choices and looking for 80/20 solutions.</li><li>
Would describe yourself as being relentlessly resourceful.</li><li>
You have a strong internal sense of urgency. You have a bias towards doing things *today*, rather than tomorrow.</li><li>
Experience working in a startup environment is preferred but not required.</li><li>
Are excited about the adventure of building a company!</li></ul><h1 class="jobSectionHeader">
What We Offer</h1><ul><li>
Competitive Compensation: Final offer details are determined based on experience, expertise, and overall fit.</li><li>
Equity: Meaningful ownership in a company that's scaling fast</li><li>
Relocation and Visa Support: We also offer relocation assistance for successful applicants moving to SF, as well as support for visa and green card applications where applicable.</li><li>
Health &amp; Wellness: Comprehensive medical, dental, and vision plans to suit the needs of you and your family.</li><li>
Flexible Spending &amp; Insurance: Access to HSA and FSA accounts, plus life insurance coverage.</li><li>
401(k) Program: Save for the future with our 401(k) program.</li><li>
Commuter Benefits: We help make getting to and from the office easier and more convenient.</li><li>
Unlimited PTO: So you can take the time you need to recharge, stay healthy, and bring your best self to work.</li><li>
Office Perks: Enjoy a vibrant Downtown San Francisco office with catered lunch five days a week, premium snacks and coffee, an in-building gym, and a dog-friendly environment.</li></ul><h2 class="jobSectionHeader">
FAQ</h2><ul><li>
What stage of growth is Ivo at?: We launched in early access in 2023. Since then, we&rsquo;ve had an incredible response from the market and are growing rapidly. We 6x'd in ARR in the last 12 months. Our clients include companies like Uber, Reddit, IBM, Canva, Pinterest, WordPress, and more. We're happy to share more details with candidates who go through our interview process.</li><li>
Is this a chill gig?: Startups are very hard, especially if they&rsquo;re growing fast. You&rsquo;ll have a ton of responsibility, and there&rsquo;s always an enormous amount of stuff to do. It&rsquo;s hard work but the payoff is uncapped.</li><li>
Can I work remotely?: We require candidates to work with us in-person 5 days a week in our San Francisco office.</li></ul>
Ivo is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
Compensation Range: $249K - $405K</div>

Staff DevOps Engineer

Adobe

The opportunity
 Drover is the framework behind many of Adobe's flagship desktop applications. It is the foundation that powers the user interface of some of the most widely used software Adobe ships, from Photoshop to Illustrator to Premiere Pro to After Effects and more.
 
We're looking for a Senior Design Engineer to work on Drover. This is a high-ownership systems role focused on modernizing how Adobe's desktop products are built, and how they look and feel. You will influence the technical implementation and ongoing support of Adobe’s design system, Spectrum, defining how designs come to life across our desktop UI.
 
This is a unique opportunity to innovate. Bringing a modern design system to a high-performance native framework raises genuinely interesting problems, and we want someone to go deep on them: layout and adaptive sizing, animation and motion, compositing and rendering, theming, and the performance work that makes all of it feel amazing. If you care about the craft of building beautiful, fast, native user experiences we'd love to meet you.
 What you'll do
 
Partner with designers, engineers, and product teams
 
Modernize Drover’s UI foundations for fast, polished, native experiences
 
Shape framework capabilities, APIs, and abstractions that help product teams ship UI faster and more consistently
 
Prototype, validate, and ship new UI capabilities through close collaboration
 
Build automation, validation, and performance systems that make quality measurable at scale
 
Participate in design and code reviews, helping set the standard for UI craft
 
Use AI-assisted tools thoughtfully while maintaining high standards for correctness, performance, and quality
 What you need to succeed
 
5+ years of software engineering experience, with deep production C++ expertise
 
Strong systems-design experience, including framework or platform architecture
 
Depth in at least one UI framework area, such as layout, animation, rendering, theming, or performance
 
Experience building cross-platform software for Windows and macOS
 
A track record of solving complex technical problems while keeping software fast, reliable, and maintainable
 
Design sensibility, strong communication skills, and experience developing alignment across design and engineering teams
 
Experience with Objective-C, JavaScript/TypeScript, Python are a plus!
 About Adobe Design
 Adobe Design is the multidisciplinary, global organization behind Adobe experiences. Our full-stack team includes design researchers, design engineers, experience designers, brand designers, content strategists, and program managers dedicated to delivering exceptional experiences for Adobe users.
 
About Adobe
 Adobe empowers everyone to create through innovative platforms and tools that unleash creativity, productivity and personalized customer experiences. Adobe’s industry-leading offerings including Adobe Acrobat Studio, Adobe Express, Adobe Firefly, Creative Cloud, Adobe Experience Platform, Adobe Experience Manager, and GenStudio enable people and businesses to turn ideas into impact, powered by AI and driven by human ingenuity.
 
Our 30,000+ employees worldwide are creating the future and raising the bar as we drive the next decade of growth. We’re on a mission to hire the very best and believe in creating a company culture where all employees are empowered to make an impact. At Adobe, we believe that great ideas can come from anywhere in the organization. The next big idea could be yours.
 
Let’s Adobe together
 At Adobe, we believe in creating a company culture where all employees are empowered to make an impact. Learn more about Adobe life, including our values and culture , focus on people, purpose and community , Adobe for All , comprehensive benefits programs , the stories we tell , the customers we serve, and how you can help us advance our mission of empowering everyone to create.
 
Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other protected characteristic. Learn more.
 
Adobe aims to make our Careers website and recruiting process accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call +1 408-536-3015.
 
AI Use Guidelines for Interviews: 
Our interviews are designed to reflect your own skills and thinking. The use of AI or recording tools during live interviews is not permitted unless explicitly invited by the interviewer or approved in advance as part of a reasonable accommodation. If these tools are used inappropriately or in a way that misrepresents your work, your application may not move forward in the process.
 
At Adobe, we empower employees to innovate with AI — and we look for candidates eager to do the same. As part of the hiring experience, we provide clear guidance on where AI is encouraged during the process and where it’s restricted during live interviews. See how we think about AI in the hiring experience .
 
Expected Pay Range: Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $139,000 -- $257,550 annually. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process.
 
In California, the pay range for this position is $177,900 - $257,550
 In Washington, the pay range for this position is $161,700 - $234,150
 
At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP).
 
In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award.
 
State-Specific Notices: 
California : 
Fair Chance Ordinances
 Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and “fair chance” ordinances.
 
Colorado: 
Application Window Notice
 
If this role is open to hiring in Colorado (as listed on the job posting), the application window will remain open until at least the date and time stated above in Pacific Time, in compliance with Colorado pay transparency regulations. If this role does not have Colorado listed as a hiring location, no specific application window applies, and the posting may close at any time based on hiring needs.
 
Massachusetts: 
Massachusetts Legal Notice
 It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Sr Design Engineer, Spectrum Desktop

Broccoli AI

<div><h2 class="jobSectionHeader">About Broccoli AI</h2>
Broccoli AI is building the AI operating system for home service businesses.
We work with plumbing, HVAC, and electrical contractors &mdash; the people who keep homes running &mdash; and we replace fragmented tools and manual workflows with AI agents that actually do the work.
Our AI assistants answer phones, book jobs, follow up with customers, and drive revenue, fully integrated into systems like ServiceTitan.
We started by going door-to-door, meeting 100+ contractors, and understanding how these businesses actually run. That shaped everything we&rsquo;ve built. Today:<ul><li>
Hundreds of contractors use Broccoli to run their front office</li><li>
We&rsquo;ve grown from $0 to millions in ARR in under a year</li><li>
We&rsquo;re trusted by both single-location operators and the largest PE-backed roll-ups</li><li>
Raised $25M+ from Khosla Ventures and YC</li></ul><h2 class="jobSectionHeader">
The Role</h2>
We&rsquo;re hiring an AI Customer Strategy Lead to get customers live on our platform and make it deliver real value in their business.
This is the work that turns a signed contract into a customer who runs their front office on our platform. You&rsquo;ll own the rollout end to end: understand how each business operates, configure and launch the platform to fit it, drive adoption across the front office and technicians, and prove the impact in the customer&rsquo;s own numbers. You won&rsquo;t do it alone &mdash; you&rsquo;ll partner closely with our forward-deployed engineers, who handle the deep technical build while you own the customer, the configuration, and the outcome. You&rsquo;ll do this across a portfolio of customers at once, and you&rsquo;ll help shape the playbook and delivery model that let us do it well at scale.
The best person for this has done implementation or deployment before at a company where getting customers live and adopting was the product. This is hands-on transformation work &mdash; you own the rollout and the outcome, not a set of recommendations. You understand SMB operators, you&rsquo;re comfortable in the data, and you measure yourself by whether the customer is genuinely better off. It&rsquo;s an early, high-ownership role with real room to grow as we scale.<h2 class="jobSectionHeader">
What You&rsquo;ll Do</h2><ul><li>
Own the rollout. Take customers from signed to fully live on the platform &mdash; scoping, configuration, launch, and adoption across the front office, technicians, and locations.</li><li>
Learn the business first. Understand how each customer actually operates, then set up the platform to fit the way they work.</li><li>
Drive adoption and value. Make sure customers are using the platform deeply and getting real results &mdash; and quantify it in hard numbers (ROI, revenue, conversion, labor savings).</li><li>
Manage a portfolio. Run multiple customer rollouts at once, keeping each on track to go-live and to value.</li><li>
Be the customer&rsquo;s trusted partner. Build the relationship, run the day-to-day, and turn frontline results into reporting their leadership trusts.</li><li>
Partner with engineering. Work hand in hand with our forward-deployed engineers &mdash; they handle the deep technical build, you own the customer, the configuration, and the outcome.</li><li>
Influence the playbook and delivery model. Turn what works in the field into repeatable practices that shape how we deliver the platform as we scale.</li><li>
Feed the field back to Product. Turn what you learn on the ground into signal that shapes the roadmap and how we deliver.</li></ul><h2 class="jobSectionHeader">
What We&rsquo;re Looking For</h2><ul><li>
4&ndash;8+ years in implementation, onboarding, deployment, or platform migration at a high-growth software or ops-heavy company (e.g., ServiceTitan, Toast, Rippling, or similar).</li><li>
Also a fit: technology-transformation or systems-implementation consulting (e.g., Deloitte, Accenture) where you ran the rollout rather than advised, or an engineering/technical background you&rsquo;ve turned toward customers and business outcomes.</li><li>
A track record of getting customers live and adopting &mdash; ideally across a portfolio, and ideally with SMB or multi-location operators.</li><li>
Measurable impact you can point to: adoption, retention, time-to-value, revenue, or operational improvement you drove through execution.</li><li>
Customer obsession. You measure yourself by whether the customer is better off, and you do what it takes.</li><li>
Comfort in the data yourself &mdash; you can pull the numbers, show the impact, and tell the story.</li><li>
Strong presence with both senior leaders and frontline operators; you can earn a shop owner&rsquo;s trust as easily as an executive&rsquo;s.</li><li>
An AI-native mindset. You use AI tools daily and have strong intuition for how AI reshapes the way a business runs.</li><li>
Excited to work in person 5 days a week in San Francisco with the team.</li></ul><h2 class="jobSectionHeader">
Bonus Points</h2><ul><li>
You&rsquo;ve owned a platform migration or major product rollout across many customers or locations.</li><li>
Experience in home services, field services, restaurants, retail, or other multi-location / SMB-dense industries.</li><li>
Startup experience.</li></ul><div></div> 
Broccoli is an equal-opportunity employer and complies with all applicable federal, state, and local fair employment practice laws.</div>

AI Customer Strategy Lead

Explore 33+ Platform engineer in San Francisco this August. Find roles across top companies and apply now to boost your career.