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LiteLLM

<div><h1 class="jobSectionHeader">Technical Product Manager</h1>
LiteLLM is the world's most popular AI Gateway, trusted by companies like Adobe, Netflix, and NASA. We're building the next generation of infrastructure for AI applications&mdash;and now we're building our second product.
We're looking for a Technical Product Manager who wants to work directly with the founders to figure out what developers need, ship quickly, and build products that thousands of engineering teams use every day.<h2 class="jobSectionHeader"> 
About the Role</h2>
This isn't a traditional product management role, and it isn't a traditional software engineering role.
NOTE: You will spend 50% of your time coding, and 50% of your time talking to users.
You'll spend your time talking to customers, understanding their problems, designing solutions, writing production code, and shipping features. One week you might build a new authentication flow, the next week you're redesigning an onboarding experience, integrating with a new provider, or launching an entirely new product.
If you enjoy owning a problem end-to-end&mdash;from idea to production&mdash;you'll thrive here.<h2 class="jobSectionHeader"> 
Responsibilities</h2><ul><li>
Build new product features from concept to production.</li><li>
Work directly with customers to understand pain points and validate solutions.</li><li>
Ship quickly while maintaining a high quality bar.</li><li>
Prototype new ideas and iterate based on user feedback.</li><li>
Own major product areas and continuously improve them over time.</li><li>
Design backend APIs and services using Python and FastAPI.</li><li>
Build intuitive developer experiences across our API, dashboard, and CLI.</li><li>
Collaborate directly with the founders on product direction and technical decisions.</li><li>
Help define and build LiteLLM's second major product.</li></ul><h2 class="jobSectionHeader"> 
What We're Looking For</h2><ul><li>
Bachelor's or Master's degree in Computer Science or a related field.</li><li>
Experience as a product manager or associate product manager at a company</li><li>
Strong software engineering fundamentals.</li><li>
Experience building production software, preferably with Python.</li><li>
Comfortable moving across the stack when needed (backend, frontend, infrastructure, APIs).</li><li>
Strong product intuition and curiosity about how customers use software.</li><li>
Excellent written and verbal communication.</li><li>
High ownership&mdash;you naturally identify problems and solve them without waiting to be asked.</li><li>
Comfortable operating in ambiguity and making decisions with incomplete information.</li><li>
Excited by shipping quickly and learning from real users.</li></ul><h2 class="jobSectionHeader"> 
Bonus Points</h2><ul><li>
Experience at an early-stage startup.</li><li>
Experience building developer tools or infrastructure products.</li><li>
Open source contributions.</li><li>
You've built and launched your own product.</li><li>
Familiarity with AI infrastructure, LLMs, or developer platforms.</li></ul><h2 class="jobSectionHeader"> 
Why Join LiteLLM?</h2><ul><li>
Work directly with the founders every day.</li><li>
Build products used by thousands of engineering teams around the world.</li><li>
Own meaningful product decisions&mdash;not just implementation.</li><li>
Move incredibly fast and see your work in production immediately.</li><li>
Help define the future of AI infrastructure and developer tooling.</li><li>
Competitive salary, equity, health, dental, and vision benefits.</li></ul><h2 class="jobSectionHeader"> 
About LiteLLM</h2>
LiteLLM is the world's most widely adopted AI Gateway. We provide a unified API for 100+ LLM providers along with routing, authentication, budgets, observability, and governance for production AI systems. Thousands of companies rely on LiteLLM to power AI in production.
If you love talking to users, building products, and shipping software that people actually use, we'd love to meet you.
Compensation Range: $200K - $260K</div>

Technical Product Manager

Genius AI

<div>
 
 
 About Genius AI
 
 
 
 Genius AI is building technology to help local businesses run themselves. Genius AI products do the admin work that keeps practitioners from the work they love and the people they serve. From GlossGenius to Reception, its products work 24/7 on busywork like booking, marketing, client management, finances, staff and inventory management, and more.
 
 
 Genius AI technology has saved businesses 106M in admin hours, earned them $2.0B in additional revenue, and facilitated more than 624M client touch points.
 
 
 
 About the Role
 
 
 
 Genius AI is building an agentic workforce: AI systems that act on behalf of appointment-based business owners, not just assist them. The engineers who join now will be the ones who architect it. We're hiring across two paths: product engineers who work at the intersection of AI capabilities and customer problems, shipping the features that put agentic tools directly in front of the businesses we serve; and platform engineers who build the scalable, reliable infrastructure that makes those AI products possible in the first place. Whichever path you're on, the expectation is the same: you build with AI as the default layer underneath how you work, not a tool you reach for occasionally.
 
 
 You must be commutable to our SF office and will operate in a hybrid environment. We default to being in-office 3&ndash;4 days per week with required attendance on Tuesdays and Thursdays.
 
 
 
 What We Work With
 
 
 
 We're open to engineers with different language backgrounds who are excited to grow. Our current stack:
 
 <ul>
 <li>
 Kotlin (Micronaut, jOOQ), gRPC, protobuf
 </li>
 <li>
 TypeScript / JavaScript (React, Redux)
 </li>
 <li>
 React Native
 </li>
 <li>
 AWS, Kubernetes, Postgres, Terraform
 </li>
 <li>
 Linear
 </li>
 </ul>
 
 
 What You'll Do
 
 
 <ul>
 <li>
 Architect and ship AI-powered features that change how service businesses operate: not wrappers around existing tools, but net-new capabilities that weren't possible before
 </li>
 <li>
 Build and maintain large-scale systems that process billions in payments and serve 120,000+ businesses, with reliability and performance as non-negotiables
 </li>
 <li>
 Use AI to architect, debug, write, and review code, and hold a higher bar for your own output because of it
 </li>
 <li>
 Own your work end to end: from technical design through production, with full accountability for what you ship and how it performs
 </li>
 <li>
 Build the platform infrastructure that lets product teams move faster: scalable, extensible systems that remove friction rather than create it
 </li>
 <li>
 Challenge how we build: when you see a faster path or a better architecture, you're expected to make the case and drive it
 </li>
 </ul>
 
 
 What We're Looking For
 
 
 <ul>
 <li>
 2+ years of professional software engineering experience, with demonstrated ownership of production systems, not just contributions to a team that owned them
 </li>
 <li>
 You use AI to architect, debug, write, and review code, and you've shipped AI-powered features or systems, not just used AI-assisted editors
 </li>
 <li>
 Move fast and make decisions: you don't wait for a fully scoped ticket to start thinking, you'd rather ship something real and iterate than spend weeks perfecting a plan
 </li>
 <li>
 Strong analytical instincts for efficiency, scalability, and system reliability, you think about what breaks at scale before it breaks in production
 </li>
 <li>
 Entrepreneurial ownership mindset, you treat the problems you're assigned as yours to solve, not tasks to complete
 </li>
 <li>
 Collaborative by default, you make the engineers around you better, not just the code you personally write
 </li>
 </ul>
 
 
 Benefits &amp; Perks
 
 
 <ul>
 <li>
 Competitive health &amp; dental insurance options, effective on your first day of employment
 </li>
 <li>
 Flexible PTO
 </li>
 <li>
 In-office lunch twice per week for NYC and SF employees, plus late night dinner stipends
 </li>
 <li>
 Access to Wellhub, a corporate wellness platform with discounted gym memberships, fitness classes, and mental health resources
 </li>
 <li>
 Annual stipend for professional development and continued learning
 </li>
 <li>
 High performers at 5 years receive a generous stipend to use however you recharge best
 </li>
 <li>
 401k benefit: employees are eligible to contribute starting day 1 of employment
 </li>
 <li>
 Dependent Care FSA
 </li>
 <li>
 Paid parental leave
 </li>
 <li>
 Fertility and adoption benefits via Carrot and Kindbody
 </li>
 </ul>
 
 
 The starting base salary for this role in San Francisco is between $150,000-$230,000+ target equity + benefits. The base salary offered is dependent upon many factors including skills, experience, location, and education. The base pay range is subject to change and may be modified in the future. Additionally, this role is currently eligible to participate in Genius AI's equity plan as well as a range of health &amp; wellbeing, retirement savings, and other benefits within our total rewards offering.
 
 
 
 
 At Genius AI, we celebrate our differences and are committed to creating a workplace where all employees feel supported and empowered to do their best work. We believe this benefits not only our employees but our product, customers, and community as well. Genius AI is proud to be an Equal Opportunity and Affirmative Action Employer.
 
 
</div>

Software Engineer - All Levels

Docusign

<div>
 
 Company Overview
 
 
 
 Docusign brings agreements to life. Over 1.5 million customers and more than a billion people in over 180 countries use Docusign solutions to accelerate the process of doing business and simplify people&rsquo;s lives. With intelligent agreement management, Docusign unleashes business-critical data that is trapped inside of documents. Until now, these were disconnected from business systems of record, costing businesses time, money, and opportunity. Using Docusign&rsquo;s Intelligent Agreement Management platform, companies can create, commit, and manage agreements with solutions created by the #1 company in e-signature and contract lifecycle management (CLM).
 
 
 What you'll do
 
 
 Docusign is looking for a Software Engineer - Fullstack to join our development team in San Francisco, CA. This position will be part of a team working on Docusign's Platform that's responsible for high scale and low latency service. The service will deliver a No-Code Business Process Automation framework that allows administrators or delegates to build agreement management workflows without having to have any coding experience. This position will demand critical thinking skills, ability to quickly understand existing systems and the ability to work in agile environments. The ability to take smart and educated risks is essential to the success of this position. If you have all that and a passion for building quality experiences to make it easier for customers to manage their users of Docusign, then we want to talk to you!
 
 
 This position is an individual contributor role reporting to the Director, Software Engineering.
 
 
 
 Responsibility
 
 
 
 <ul>
 <li>
 Design, develop, and maintain scalable, fault-tolerant full-stack systems across backend services and front-end applications
 </li>
 <li>
 Build high-quality, production-ready code with comprehensive test coverage for both backend and frontend layers
 </li>
 <li>
 Implement web-scale services using microservices principles and containerized cloud technologies, while creating intuitive front-end interfaces that allow customers to configure business processes without coding expertise
 </li>
 <li>
 Collaborate with Product Management, UX designers, and cross-functional teams to translate business requirements into end-to-end solutions, providing accurate development estimates
 </li>
 <li>
 Work as part of a cross-site development team to drive design, implementation, testing, and release of full-stack features
 </li>
 <li>
 Participate in the entire software lifecycle, including version control, CI/CD pipelines, automated testing, and regional cloud deployments
 </li>
 <li>
 Explore and adopt new technologies and best practices to improve system performance, maintainability, and user experience
 
 
 </li>
 </ul>
 Job Designation
 
 
 
 Hybrid:
 
 Employee divides their time between in-office and remote work. Access to an office location is required. (Frequency: Minimum 2 days per week; may vary by team but will be weekly in-office expectation)
 
 
 Positions at Docusign are assigned a job designation of either In Office, Hybrid or Remote and are specific to the role/job. Preferred job designations are not guaranteed when changing positions within Docusign. Docusign reserves the right to change a position's job designation depending on business needs and as permitted by local law.
 
 
 What you bring
 
 
 
 Basic
 
 
 
 <ul>
 <li>
 5+ years of software development experience or equivalent
 </li>
 <li>
 Bachelor's or Master's in Computer Science, Electrical Engineering, Information Systems, Informatics, or equivalent
 </li>
 <li>
 Experience with data structures, algorithms, operating systems, and distributed systems fundamentals
 </li>
 <li>
 Experience with backend languages (C#, Go, Java, Node.js) and frontend frameworks (React, Angular, Vue.js, TypeScript, JavaScript)
 </li>
 <li>
 Experience developing and consuming RESTful APIs
 
 
 </li>
 </ul>
 
 Preferred
 
 
 
 <ul>
 <li>
 Hands-on experience with cloud technologies (Azure, AWS, GCP) and deploying full-stack applications in production
 </li>
 <li>
 Familiarity with cloud-native services, containerized applications (Kubernetes, Docker), and microservices architectures
 </li>
 <li>
 Knowledge of end-to-end testing, including unit tests, integration tests, and frontend automated tests
 </li>
 <li>
 Experience with high-scale distributed systems and fault-tolerant design principles
 </li>
 <li>
 Strong problem-solving, organizational, and cross-functional collaboration skills
 </li>
 <li>
 Experience with Agile methodologies, Test-Driven Development (TDD), CI/CD pipelines, and regional cloud deployments
 </li>
 <li>
 Passion for learning and applying new full-stack technologies and frameworks
 
 
 </li>
 </ul>
 Wage Transparency
 
 
 Pay for this position is based on a number of factors including geographic location and may vary depending on job-related knowledge, skills, and experience.
 
 
 Based on applicable legislation, the below details pay ranges in the following locations:
 
 
 California: $146,400.00 - $235,375.00 base salary
 
 
 
 This Role Is Also Eligible For The Following
 
 
 
 <ul>
 <li>
 Bonus: Sales personnel are eligible for variable incentive pay dependent on their achievement of pre-established sales goals. Non-Sales roles are eligible for a company bonus plan, which is calculated as a percentage of eligible wages and dependent on company performance.
 </li>
 <li>
 Stock: This role is eligible to receive Restricted Stock Units (RSUs).
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 Global benefits provide options for the following:
 
 
 <ul>
 <li>
 Paid Time Off: earned time off, as well as paid company holidays based on region
 </li>
 <li>
 Paid Parental Leave: take up to six months off with your child after birth, adoption or foster care placement
 </li>
 <li>
 Full Health Benefits Plans: options for 100% employer paid and minimum employee contribution health plans from day one of employment
 </li>
 <li>
 Retirement Plans: select retirement and pension programs with potential for employer contributions
 </li>
 <li>
 Learning and Development: options for coaching, online courses and education reimbursements
 </li>
 <li>
 Compassionate Care Leave: paid time off following the loss of a loved one and other life-changing events
 
 
 </li>
 </ul>
 Life at Docusign
 
 
 
 Working here
 
 
 
 Docusign is committed to building trust and making the world more agreeable for our employees, customers and the communities in which we live and work. You can count on us to listen, be honest, and try our best to do what&rsquo;s right, every day. At Docusign, everything is equal.
 
 
 We each have a responsibility to ensure every team member has an equal opportunity to succeed, to be heard, to exchange ideas openly, to build lasting relationships, and to do the work of their life. Best of all, you will be able to feel deep pride in the work you do, because your contribution helps us make the world better than we found it. And for that, you&rsquo;ll be loved by us, our customers, and the world in which we live.
 
 
 
 Accommodation
 
 
 
 Docusign is committed to providing reasonable accommodations for qualified individuals with disabilities in our job application procedures. If you need such an accommodation, or a religious accommodation, during the application process, please contact us at accommodations@docusign.com.
 
 
 If you experience any issues, concerns, or technical difficulties during the application process please get in touch with our Talent organization at taops@docusign.com for assistance.
 
 
 Applicant and Candidate Privacy Notice
 
 
 States Not Eligible for Employment
 
 
 This position is not eligible for employment in the following states: Alaska, Hawaii, Maine, Mississippi, North Dakota, South Dakota, Vermont, West Virginia and Wyoming.
 
 
 Equal Opportunity Employer
 
 
 It's important to us that we build a talented team that is as diverse as our customers and where all employees feel a deep sense of belonging and thrive. We encourage great talent who bring a range of perspectives to apply for our open positions. Docusign is an Equal Opportunity Employer and makes hiring decisions based on experience, skill, aptitude and a can-do approach. We will not discriminate based on race, ethnicity, color, age, sex, religion, national origin, ancestry, pregnancy, sexual orientation, gender identity, gender expression, genetic information, physical or mental disability, registered domestic partner status, caregiver status, marital status, veteran or military status, or any other legally protected category.
 
 
 EEO Know Your Rights poster
 
 
</div>

Software Engineer

Datadog

<div>At Datadog we're growing our investment in AI and Developer focused events. As we scale this program we're looking to hire a Program Manager on our Community team to support our content and advocacy team efforts across these events. 
 
The Datadog Technical Advocacy team are focused on our local user communities, and bringing our technical content directly to our customers globally. You'll be responsible for planning and execution to deliver AI and Developer events, working across multiple teams at Datadog to ensure our event is high quality and a positive experience for our customers. 
 
 
 
At Datadog, we place value in our office culture - the relationships that it builds, the creativity it brings to the table, and the collaboration of being together. We operate as a hybrid workplace to ensure our employees can create a work-life harmony that best fits them. 


What You'll Do:
<ul>
<li>Growing Datadog's presence at AI events and identifying opportunities for meetups, hands-on learning, and sponsored events, with a focus on AI or Developer events</li>
<li>Planning technical programming for AI or developer events that Datadog hosts or sponsors</li>
<li>Supporting AI and developer focused content at larger global events such as DASH, Datadog's annual conference</li>
<li>Tracking deadlines and deliverables for our content and events, including digital and physical assets, and working with vendors and procurement teams as needed to ensure event success</li>
<li>Identifying and resolving risks and blockers for our event programing</li>
<li>Maintaining our internal tools and public website for event agenda and speaker content</li>
<li>Owning our onsite speaker experience for both internal and customer speakers</li>
<li>Managing event programming onsite, coordinating rehearsals, staffing, and ensuring smooth onsite operations
</li><li>Collaborate closely with our Community teams, external stakeholders, and the VP of Community</li>
<li>Create and refine processes; maintain focus on continual improvements, automation and scaling</li>
<li>Communicate goals, status, risks, and impact to teams and stakeholders ensuring alignment and visibility of information across teams.</li> 
</ul>
Who You Are:
<ul>
<li>You have approximately 2-5 years of experience in program management, leading similar initiatives such as large scale conferences and related programs within a similar technical environment (B2B SaaS company), partnering closely with technical stakeholders</li>
<li>You have experience working collaboratively across cross-functional teams; strong leadership and interpersonal skills, experience building and fostering effective working relationships</li>
<li>You have strong communication skills, attention to detail and enjoy building processes</li>
<li>You take a data-driven approach to program management; building tools (workflows, custom work intake processes, estimation models), collecting and analyzing data, and driving stakeholder buy-in</li>
<li>You have experience influencing without direct authority at senior levels internal and external to the organization</li>
<li>Able to travel via train or air, domestically and internationally, up to 20% of the time</li>
</ul>
Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you're passionate about technology and want to grow your skills, we encourage you to apply. 


Benefits and Growth:
<ul>
<li>New hire stock equity (RSUs) and employee stock purchase plan (ESPP)</li>
<li>Continuous professional development, product training, and career pathing</li>
<li>Intra-departmental mentor and buddy program for in-house networking</li>
<li>An inclusive company culture, with the ability to join our Community Guilds</li>
<li>Access to Inclusion Talks, our internal panel discussions</li>
<li>Free, global Spring Health benefits for employees and dependents age 6+</li>
<li>Competitive global benefits</li>
</ul>
Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog. 

#LI-Hybrid<div>

About Datadog:

Datadog is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale. It brings applications, infrastructure, data, models, and security into one place, using AI to detect and resolve issues before they impact customers. Trusted globally by Fortune 500 companies and high-growth AI leaders, Datadog enables businesses to move faster with clarity and confidence. Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center.
Equal Opportunity at Datadog:

Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference.

Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form. This form is for accommodation requests only and cannot be used to inquire about the status of applications.

Privacy and AI Guidelines:

Any information you submit to Datadog as part of your application will be processed in accordance with Datadog's Applicant and Candidate Privacy Notice. For information on our AI policy, please visit Interviewing at Datadog AI Guidelines.</div></div>

Program Manager, AI and Developer Community Content and Events

Golden State

<div>About the Position

Golden State Warriors are looking for a developer to join our growing team. In this role, you will focus on internal web application, which serves as the primary interface for the basketball operations team. You'll work closely with data engineers and data scientists to build tools that make complex data accessible and actionable.

This is an excellent opportunity to share your expertise while learning more about this growing sports and entertainment organization that values your initiative and dedication!

This is a full-time, remote position.

Key Responsibilities
<ul>
<li>Build and maintain features for our internal basketball operations web application</li>
<li>Work with the application database to support new features and optimize queries</li>
<li>Collaborate with data science and analytics staff to design intuitive interfaces for complex data</li>
<li>Contribute to application architecture and code quality standards</li>
<li>Other duties as assigned</li>
</ul>
Required Skills and Experience
<ul>
<li>3+ years of front-end or full-stack development experience</li>
<li>Strong React and TypeScript skills</li>
<li>Experience with Python, PostgreSQL, and REST APIs</li>
<li>Proficient across multiple front-end frameworks</li>
<li>Familiarity with modern web development practices and tooling</li>
<li>Writes clean, well-structured code and cares about maintainability</li>
<li>Excellent written and verbal communication; strong presentation skills with the ability to influence technical and non-technical partners</li>
<li>Ability to build positive working relationships with business partners and peers at all levels within the organization</li>
<li>Ability to balance multiple projects at once in a fast-paced work environment</li>
<li>Strong passion and deep curiosity about sports and entertainment</li>
<li>Next.js and mobile development experience a plus</li>
<li>Experience building data-heavy dashboards or visualization tools a plus</li>
<li>Experience with design systems or component libraries a plus</li>
</ul>
Compensation
<ul>
<li>$120,000 Per year + Bonus</li>
<li>Comprehensive Medical, Dental and Vision benefits for employees and dependents</li>
<li>Employer 401K match</li>
<li>Vacation, Summer Half-Day Fridays and a generous paid time off plan for pregnancy and parental leaves</li>
<li>Warriors home tickets, team store discount and more!</li></ul> 


Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

 Golden State is an equal opportunity employer.

We will ensure that qualified applicants with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment.

Want to learn more about who we are and what we value? Visit www.warriors.com/employment

Please refer to our California Privacy Notice for more information about how we process your personal information, and your data protection rights.</div>

Web Developer

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

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

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