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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

<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

DigitalOcean

<div><div>Dive in and do the best work of your career at DigitalOcean. Journey alongside a strong community of top talent who are relentless in their drive to build the simplest scalable cloud. If you have a growth mindset, naturally like to think big and bold, and are energized by the fast-paced environment of a true industry disruptor, you'll find your place here. We value winning together&mdash;while learning, having fun, and making a profound difference for the dreamers and builders in the world.</div>
DigitalOcean is expanding its AI Infrastructure layer to support the next generation of AI-driven applications. We are seeking a Senior Engineer 2 to join our AI Inference Data Plane team. In this role, you will be a key technical leader responsible for designing, developing, and delivering high-scale, resilient data plane services that power our &quot;Inference as a Service&quot; offering. You will work at the intersection of distributed systems and specialized AI hardware to ensure our customers can deploy and scale their models with industry-leading performance and reliability. This is a hands-on role, requiring you to be able to develop high quality software while availing of all the productivity boosts granted by the latest AI coding agents.
<h2 class="jobSectionHeader">
What You'll Do:</h2>
<ul><li>Technical Leadership: Act as a technical leader on the team, driving the end-to-end design, development, and delivery of critical data plane components hosting large generative AI models.</li>
<li>System Design: Architect and refine system design proposals for our high-scale, multi-tenant AI inference cloud ecosystem, ensuring they meet rigorous availability and resiliency standards.</li>
<li>Performance Optimization: Implement and optimize distributed inference hosting using techniques like tensor/data parallelism, KV cache optimizations, and smart routing.</li>
<li>Collaboration: Work cross-functionally with Product Managers, customer-facing teams, and other engineering teams to align technical roadmaps with customer needs.</li>
<li>Distributed Serving at Scale: Build on Kubernetes-native distributed inference frameworks like llm-d (or alternatives such as NVIDIA Dynamo, Ray Serve, KServe) to deliver prefill/decode disaggregation, KV-cache-aware routing, tiered prefix caching, and wide expert parallelism for MoE models.</li>
<li>Flow Control &amp; Load Balancing: Solve the distributed-systems problems unique to LLM serving &mdash; inference-aware load balancing on queue depth, cache locality, and predicted latency; flow control and fairness across tenants; autoscaling inference pools; and moving gigabytes of KV-cache between prefill and decode instances with negligible overhead.</li>
<li>Open Source Contributions: Contribute upstream to llm-d, vLLM, and the inference gateway ecosystem, and represent DigitalOcean in these communities.</li>
<li>Mentorship: Coach and mentor junior engineers, fostering a culture of technical excellence and continuous improvement.</li>
<li>Operational Excellence: Maintain and operate critical, high-scale services, utilizing observability tools and defining SLOs to ensure superior platform health.</li>
</ul><h2 class="jobSectionHeader">What You'll Bring to DigitalOcean:</h2>
<ul><li>AI/ML Domain Knowledge: Hands-on experience hosting large language or multimodal models using inference engines like vLLM, SGLang, or TensorRT.</li>
<li>Inference Frameworks: Familiarity with distributed inference serving frameworks such as llm-d, NVIDIA Dynamo, or Ray Serve.</li>
<li>Inference Engine Depth: Hands-on experience with vLLM or alternatives (SGLang, TensorRT-LLM, TGI, Modular MAX), including internals like continuous batching, paged attention, and prefix caching.</li>
<li>Distributed Inference Fluency: Understanding of why cluster-scale serving is hard: KV-cache locality is partitioned across workers, naive round-robin routing destroys cache hit rates and tail latency, and disaggregated prefill/decode requires fast cross-pod KV transfer (e.g., NIXL).</li>
<li>Upstream Track Record: Merged contributions to vLLM, llm-d, SGLang, or similar projects strongly preferred.</li>
<li>Architecture Proficiency: Knowledge of common LLM architectures and optimization techniques (e.g., continuous batching, quantization).</li>
<li>Software Engineering: Expert-level proficiency in GoLang or Python and familiarity with gRPC.</li>
<li>Cloud Operations: Proven experience shipping customer-facing software products and running critical services in a high-scale environment similar to DigitalOcean.</li>
<li>Open Source Mindset: Experience integrating and building with open-source software.</li>
</ul><h2 class="jobSectionHeader">Compensation Range:</h2>
<ul><li>$139,200 - $174,000</li>
</ul>
<ul><li>This is a remote role</li></ul>

JR: 2026-7624

#LI-Remote<div><h2 class="jobSectionHeader">
Why You'll Like Working for DigitalOcean</h2>
<ul><li>We innovate with purpose. You'll be a part of a cutting-edge technology company with an upward trajectory, who are proud to simplify cloud and AI so builders can spend more time creating software that changes the world. As a member of the team, you will be a Shark who thinks big, bold, and scrappy, like an owner with a bias for action and a powerful sense of responsibility for customers, products, employees, and decisions.</li>
<li>We prioritize career development. At DO, you'll do the best work of your career. You will work with some of the smartest and most interesting people in the industry. We are a high-performance organization that will always challenge you to think big. Our organizational development team will provide you with resources to ensure you keep growing. We provide employees with reimbursement for relevant conferences, training, and education. All employees have access to LinkedIn Learning's 10,000+ courses to support their continued growth and development.</li>
<li>We care about your well-being. Regardless of your location, we will provide you with a competitive array of benefits to support you from our Employee Assistance Program to Local Employee Meetups to flexible time off policy, to name a few. While the philosophy around our benefits is the same worldwide, specific benefits may vary based on local regulations and preferences.</li>
<li>We reward our employees. The salary range for this position is based on market data, relevant years of experience, and skills. You may qualify for a bonus in addition to base salary; bonus amounts are determined based on company and individual performance. We also provide equity compensation to eligible employees, including equity grants upon hire and the option to participate in our Employee Stock Purchase Program.</li>
<li>DigitalOcean is an equal-opportunity employer. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.</li>
</ul>
Application Limit: You may apply to a maximum of 3 positions within any 180-day period. This policy promotes better role-candidate matching and encourages thoughtful applications where your qualifications align most strongly.</div></div>

Senior Software Engineer I - AI Inference Data Plane

Speechify

<div>The mission of Speechify is to make sure that reading is never a barrier to learning.

Over 50 million people use Speechify's text-to-speech products to turn whatever they're reading &ndash; PDFs, books, Google Docs, news articles, websites &ndash; into audio, so they can read faster, read more, and remember more. Speechify's text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity.
Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting &ndash; Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.

Overview

We're looking to hire for our Data side of our AI team at Speechify. This role is responsible for all aspects of data collection to support our model training operations. We are able to build high-quality datasets at petabyte-scale and low cost through a tight integration of infrastructure, engineering, and research work. We are looking for a skilled Software Engineer to join us.

What You'll Do
<ul>
<li>Be scrappy to find new sources of audio data and bring it into our ingestion pipeline</li>
<li>Operate and extend the cloud infrastructure for our ingestion pipeline, currently running on GCP and managed with Terraform.</li>
<li>Collaborate closely with our Scientists to shift the cost/throughput/quality frontier, delivering richer data at bigger scale and lower cost to power our next-generation models.</li>
<li>Collaborate with others on the AI Team and Speechify Leadership to craft the AI Team's dataset roadmap to power Speechify's next-generation consumer and enterprise products.</li>
</ul>
An Ideal Candidate Should Have
<ul>
<li>BS/MS/PhD in Computer Science or a related field.</li>
<li>5+ years of industry experience in software development.</li>
<li>Proficiency with bash/Python scripting in Linux environments</li>
<li>Proficiency in Docker and Infrastructure-as-Code concepts and professional experience with at least one major Cloud Provider (we use GCP)</li>
<li>Experience with web crawlers, large-scale data processing workflows is a plus</li>
<li>Ability to handle multiple tasks and adapt to changing priorities.</li>
<li>Strong communication skills, both written and verbal.</li>
</ul>
What we offer
<ul>
<li>A fast-growing environment where you can help shape the company and product.</li>
<li>An entrepreneurial-minded team that supports risk, intuition, and hustle.</li>
<li>A hands-off management approach so you can focus and do your best work.</li>
<li>An opportunity to make a big impact in a transformative industry.</li>
<li>Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture.</li>
<li>Opportunity to work on a life-changing product that millions of people use.</li>
<li>Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more.</li>
<li>Work in one of the fastest-growing sectors of tech, the intersection of artificial intelligence and audio.</li>
</ul>
Compensation: The United States base salary range for this full-time position is $140,000-$200,000 + bonus + equity depending on experience

Think you're a good fit for this job?

Tell us more about yourself and why you're interested in the role when you apply.
 
And don't forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit?

Refer them!

Speechify is committed to a diverse and inclusive workplace.

Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.</div>

Software Engineer, Data Infrastructure & Acquisition - San Francisco, CA, USA

Medallion

<div>
 
 About Medallion:
 
 
 
 At Medallion, we believe healthcare teams should focus on what truly matters - delivering exceptional patient care. That&rsquo;s why we&rsquo;ve built a leading provider operations platform to eliminate the administrative bottlenecks that slow healthcare organizations down. By automating licensing, credentialing, payer enrollment, and compliance monitoring, Medallion empowers healthcare operations teams to streamline their workflows, improve provider satisfaction, and accelerate revenue generation, all while ensuring superior patient outcomes.
 
 
 As one of the fastest-growing healthcare technology companies - ranked #3 on Inc. Magazine&rsquo;s 2024 Fastest-Growing Private Companies in the Pacific Region, #5 on LinkedIn's 2024 Top US Startups, a Glassdoor Best Place to Work in 2024 &amp; 2025, and featured on The Today Show - Medallion is revolutionizing provider network management. Our CEO, Derek Lo, has been named one of the Top 50 Healthcare Technology CEOs of 2024 by The Healthcare Technology Report. Backed by $130M in funding from world-class investors like Sequoia Capital, Google Ventures, Optum Ventures, Salesforce Ventures, Acrew Capital, Washington Harbour, and NFDG, we&rsquo;re on a mission to transform healthcare at scale.
 
 
 
 About the role
 
 
 
 As a Software Engineer, you will work closely with the team on a variety of high-impact projects, shipping production code during your very first week, getting steady exposure to a broad set of technologies, and rapidly taking on more responsibility. Expect to achieve massive personal growth and ship features that make a meaningful impact on the healthcare system. All on a supportive and experienced team of engineers, PMs, and designers.
 
 
 This role reports to one of our Engineering Managers and base compensation for this role may land between $145,000-$175,000. In addition to base salary, Medallion offers equity, and benefits as part of the total compensation package. Many factors are considered when determining pay including: market data, geographic location, skills, qualifications, experience, and level.
 
 
 
 What you'll do
 
 
 
 <ul>
 <li>
 Work on meaningful projects with business impact from your very first day.
 </li>
 <li>
 Scope and lead large projects, addressing ambiguity, creating plans, and ensuring technical excellence
 </li>
 <li>
 Help develop the team roadmap, balancing key technical and product tradeoffs
 </li>
 <li>
 Teach and mentor members of the engineering team, constantly modeling how great software should be developed
 </li>
 <li>
 Work within our tech stack, which includes Python and Django on the backend, and React, JavaScript, and TypeScript on the frontend
 </li>
 <li>
 Write a lot of code :)
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Have 2+ years of experience as a software engineer
 </li>
 <li>
 Have worked in multiple functional areas &ndash; frontend, backend, platform, services, data, or cloud infrastructure.
 </li>
 <li>
 Have a strong technical foundation
 </li>
 <li>
 Care deeply about both technical success and product success
 </li>
 <li>
 Are an excellent communicator
 </li>
 <li>
 Get things done
 
 
 </li>
 </ul>
 
 You might also have an interest in:
 
 
 
 <ul>
 <li>
 Are an excellent communicator
 </li>
 <li>
 Get things done
 
 
 </li>
 </ul>
 
 We prioritize candidate safety. Please be aware that official communication will only come from @medallion.co email addresses.
 
</div>

Software Engineer

Google

<div>Applicants in San Francisco: Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act. 
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Sunnyvale, CA, USA; San Francisco, CA, USA.<h3 class="jobSectionHeader">
Minimum qualifications:</h3><ul>
<li>Bachelor's degree in a technical field, or equivalent practical experience.
 
</li><li>2 years of experience in program management.</li>
<li>Experience developing data-driven models and insights.</li></ul> 
<h3 class="jobSectionHeader">
Preferred qualifications:</h3><ul>
<li>Experience in demand forecast and release management.</li>
<li>Experience in data management, establishing best practices and validation.</li>
<li>Experience in infrastructure planning (data center or networking).</li>
<li>Experience developing data-driven models and insights from explorations to decision.</li>
</ul><div><h2 class="jobSectionHeader">About the job</h2>
Google's projects, like our users, span the globe and require managers to keep the big picture in focus while being able to dive into the unique engineering challenges we face daily. As a Technical Program Manager at Google, you lead complex, multi-disciplinary engineering projects using your engineering expertise. You plan requirements with internal customers and usher projects through the entire project lifecycle. This includes managing project schedules, identifying risks and clearly communicating them to project stakeholders. You're equally at home explaining your team's analyses and recommendations to executives as you are discussing the technical trade-offs in product development with engineers. 
 
Using your extensive technical and leadership expertise, you manage projects of various size and scope, identifying future opportunities, improving processes and driving the technical directions of your programs.

As our products and services scale the globe, the Global Infrastructure and Energy (GIE) team works behind the scenes as a dynamic team within Google responsible for delivering the infrastructure capacity needed to support Google's rapidly growing product portfolio. The Supply Strategy and Portfolio Planning (SSP) team sits within GIE, and we manage a complex portfolio of infrastructure projects, ensuring that Google's services have the resources they need to operate seamlessly and reliably. SSP performs location strategy, regional planning and portfolio management to determine where, why, and how much infrastructure assets Google needs to seamlessly scale into the future. The Modeling and Analytics team, provides decision-making frameworks with underlying foundation to enable high-quality decisions at scale, faster and with less risk to meet the needs of Google&rsquo;s business.
Google Cloud accelerates every organization&rsquo;s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google&rsquo;s technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
 
 
US: $138000 - $197000 (USD) + 15% bonus target + equity + benefits 
 
Learn more about benefits at Google.</div><div><h2 class="jobSectionHeader">
Responsibilities</h2><ul>
<li>Design and develop models for location strategy given land, energy and networking constraints. Understand business trade-offs and translate to input and modeling requirements. Produce and maintain model results with explainability and traceability.</li>
<li>Analyze multitudes of data sources reflecting various layers of demand granularities across data centers and networking stacks. Design data validation, integrity and governance policies.</li>
<li>Drive execution of scalable models in collaboration with software engineers and supply planning teams. Create communication channels across various teams.</li>
</ul></div>Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.</div>

Technical Program Manager, Supply Strategy and Portfolio Planning

Arcade Food Theatre

<div>Everyone's building AI agents, but almost nobody gets them to production.
Building an impressive demo is easy. Building an AI agent that can securely take action inside enterprise systems is hard. The moment an agent accesses customer data, executes a workflow, or makes changes on behalf of a user, authorization, governance, and trust become the real engineering challenge.
Arcade is the MCP runtime that gives agents the power to do both seamlessly. We connect agents to the systems they act in, then give each one a permission slip and a paper trail - proof of what it's allowed to do, and a record of what it did. That's what makes AI safe to turn loose: real actions, on real systems, already shipping inside Fortune 100 companies.
The Revolution Needs You
Every AI app needs agentic &quot;tools&quot; - special functions that let AI models take real actions. Without tools, AI can only chat. With tools, AI can actually do things. We're building the definitive tools catalog and tool-calling platform that will unlock AI's true potential. Think Zapier for AI Actions. Think Auth0 for AI. Think really big.
Why This Is The Opportunity of a Lifetime<ul><li>
Traction: Real deployments with Fortune-100 customers like Morgan Stanley and Open Table</li><li>
Founder-Market Fit: Our CEO previously founded Stormpath (acquired by Okta), where he created the first Authentication API for developers. He's done this before - and this time the market is 10x bigger. Our CTO led the vector database team at Redis, shipped 100+ LLM applications, and is a contributor to LangChain and LlamaIndex. He knows this space better than anyone.</li><li>
Dream Team: We've assembled authentication, integrations, distributed systems, and AI experts from Okta, Redis, Microsoft, Splunk, Ngrok, Google, Airbyte, Disney, and HPE who've built and founded multiple successful developer platforms.</li><li>
Perfect Timing: Every enterprise is racing to put agents in production - almost none get there. The problem isn't better models, it's proving which agent can take which action, on behalf of which user, against which system. That's us.</li><li>
Massive Market : We're building critical infrastructure for the biggest technological shift of our generation. Every AI app will need what we're building.</li><li>
Backed By The Best: Our Series A round is led by SYN Ventures, with strategic investment from Morgan Stanley and Wipro. Our earlier investors have also backed Databricks, Clickhouse, MongoDB, Perplexity, Cohere, ScaleAI, Confluent, Elastic, and Firebase. They see what we see - this is going to be huge.</li></ul>
The Challenge
The number of deployed Arcade customers is growing rapidly, and after a deployment goes live, someone needs to own everything that happens next. Right now that's ad hoc. We need a leader to build our support function from zero - on a product that looks nothing like typical SaaS. To help a customer succeed, you&rsquo;ll need to understand MCP, OAuth, SSO, tool-calling, and cloud infrastructure. Nobody has been debugging agent authorization at enterprise scale long enough to write the playbook for it. That bar is why Arcade is becoming core infrastructure inside Fortune-100 companies, and it's why this role matters more here than it would anywhere else.
You'll be our first support hire and own the team&rsquo;s growth and processes. For the first several months you'll be doing the L2 support work yourself while you grow the team and build the function. That&rsquo;s how you&rsquo;ll earn the pattern recognition that makes everything you design afterward correct instead of theoretical. This will include not only helping customers, but also improving our docs, configuring agentic support &amp; automations, setting SLAs, and defining escalation paths that let the team scale sub-linearly as customers grow. Do it right and support becomes a product in its own right - fast, technical, and a direct input into what we build next. You&rsquo;ll be reporting to the Head of Product because you'll have some of the strongest signals about what we should build next and we want you sitting right inside the conversation.
What You'll Do<ul><li>
Build the support function from scratch: stand up L0 (docs), L1 (AI &amp; automations), and define the routing, SLAs, and escalation paths up to FDE (L3) and Engineering (L4).</li><li>
Own L2 support: be the human escalation point for real technical issues - Okta/SSO not working, tools not getting called correctly by the LLM, gateway and user-source configuration, auth edge cases.</li><li>
Grow and lead the team. Use your experience to scale a world-class support org that customers rave about and sets the technical bar for what a support organization looks like.</li><li>
Automate aggressively so support does not need to scale with customer count. An AI-first approach is central to how you'll work.</li><li>
Partner with FDE: take over as primary customer contact after first deployment so FDE can move to the next customer; over time, absorb &quot;standard&quot; onboarding and cluster setup - especially for marketplace (AWS/Azure) deployments to make that experience seamless.</li><li>
Close the loop with Product and Engineering: turn recurring tickets and friction into prioritization signal and product fixes.</li></ul>
Required Skills<ul><li>
You've built or led a support team for a technical, B2B product.</li><li>
Strong technical fluency in infrastructure and auth - OAuth, SSO/SAML, APIs and tool-calling, cloud deployment concepts. You can debug alongside a customer, not just triage.</li><li>
A player-coach mindset: energized by doing hands-on support with customers and building the process behind it.</li><li>
Track record designing SLAs, ticket routing, and escalation in a way that balances customer empathy with business reality.</li><li>
Background in developer, infrastructure, or auth products, and the MCP/AI-agents ecosystem.</li><li>
AI-pilled: you reach for AI and automation to move fast and keep the customer experience quick.</li></ul>
Bonus Points<ul><li>
Experience supporting self-hosted enterprise customers.</li><li>
Hands-on with modern support tooling like Pylon.</li><li>
Experience with cloud marketplace deployments (AWS/Azure).</li><li>
San Francisco based (or open to relocating).</li></ul>
Join The Movement
We're not just building a product - we're leading a movement to transform AI from just chatbots to agents that can take actions against real systems. This is your chance to be at the forefront of that revolution.
If you want to look back in 5 years and say, &quot;I helped build that&quot;, then we want to talk to you. Ready to make AI actually useful? Apply now!
Compensation Range: $205K - $250K</div>

Head of Support Engineering

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