engineering manager

Anthropic

<div><div><h2 class="jobSectionHeader"><b>About Anthropic</b></h2>
<p>
Anthropic&rsquo;s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.</p></div><div><h2 class="jobSectionHeader"><b>
About the Role</b></h2><br>
<p></p>
<p>
As the Engineering Manager for Data Architecture, you will lead the team responsible for building our north star implementation of data infrastructure. This team owns the full lifecycle of Anthropic&rsquo;s most critical data, ranging from customer-facing data like prompts and exchanges (highly PII) to core business data such as logging and financial records. Your mission is to grow this infrastructure into a world-class platform that powers our rapidly expanding business while maintaining the highest standards for AI safety and regulatory compliance.</p><br>
<p></p>
<p>
This is a high-leverage leadership role where you will architect systems that support model training with customer consent, legal reviews, and AI safety evaluations (Safe Guard). You will ensure our data platform is inherently secure, massively scalable, and flexible enough to support diverse product surfaces across multiple cloud environments. If you are passionate about building the foundational systems that enable a frontier AI lab to scale safely and efficiently, this role is for you.</p><br>
<p></p>
<h2 class="jobSectionHeader"><b>
Key Responsibilities</b></h2>
<ul>
<li><p>Build and lead the team: Recruit and mentor a team of world-class data and infrastructure engineers; establish the team&rsquo;s technical vision, operational standards, and strategic roadmap.</p>
</li>
<li><p>Drive technical strategy: Define the long-term architecture for Anthropic&rsquo;s data stack, ensuring it supports high-velocity model training and complex inference workloads across all cloud regions.</p>
</li>
<li><p>Architect scalable pipelines: Lead the design and implementation of robust, automated data pipelines that handle petabyte-scale datasets with high reliability and performance.</p>
</li>
<li><p>Implement robust governance: Build the systems and processes for automated data discovery, lineage tracking, and lifecycle management to ensure high data quality and integrity.</p>
</li>
<li><p>Security and compliance-by-design: Ensure data architecture inherently supports global privacy regulations and security requirements through automated controls and privacy-preserving architectures.</p>
</li>
<li><p>Cross-functional enablement: Partner with ML, Product, and Legal teams to unlock the power of data, providing the tools and platforms needed to derive insights without compromising safety.</p>
</li>
<li><p>Standardize data quality: Define and enforce SLAs for data availability and accuracy, building internal tools to monitor and maintain the health of the entire data ecosystem.</p>
</li>
<li><p>Evangelize the data mission: Advocate for the importance of modern data architecture as a core component of AI safety, communicating progress and risks to leadership and cross-functional stakeholders.</p>
</li>
</ul><h2 class="jobSectionHeader"><b>About You</b></h2>
<p>
We are looking for a technical leader who combines deep systems engineering expertise with a passion for building scalable data organizations. The ideal candidate has:</p>
<p>
Required:</p>
<ul>
<li><p>Extensive experience managing and scaling engineering teams in high-growth environments, with a focus on data infrastructure or distributed systems.</p>
</li>
<li><p>Deep technical expertise in data modeling, database internals, and large-scale data warehouse/lakehouse architectures.</p>
</li>
<li><p>Proven track record of architecting cloud-native, scalable data platforms that handle multi-cloud deployments and high-throughput data streams.</p>
</li>
<li><p>Strong foundation in data governance principles, including metadata management, data lineage, and automated quality enforcement at scale.</p>
</li>
<li><p>Ability to thrive in high-ambiguity environments, translating broad business goals into specific technical roadmaps and actionable engineering tasks.</p>
</li>
<li><p>Pragmatic approach to engineering: you know when to build for the future and when to deliver immediate value through iterative improvements.</p>
</li>
<li><p>Excellent communication skills, with the ability to explain complex architectural trade-offs to both technical and non-technical partners.</p>
</li>
<li><p>Comfort with end-to-end ownership and a desire to build a &quot;full-stack&quot; data foundation that serves as the company's single source of truth.</p>
</li>
</ul><p>Preferred:</p>
<ul>
<li><p>8+ years of experience managing technical teams</p>
</li>
<li><p>Experience growing an engineering team and charter through a period of rapid company scaling.</p>
</li>
<li><p>Experience conducting privacy reviews, threat modeling, and risk assessments for production systems</p>
</li>
<li><p>Proven track record of designing and implementing privacy infrastructure serving millions of users</p>
</li>
<li><p>Experience at companies during periods of hypergrowth where you've scaled privacy alongside the business</p>
</li>
<li><p>Exposure to AI/ML infrastructure and the unique privacy demands of large-scale training and inference</p>
</li>
</ul></div><div><div><div><div><p>The annual compensation range for this role is listed below.</p>
<p>
For sales roles, the range provided is the role&rsquo;s On Target Earnings (&quot;OTE&quot;) range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.</p></div></div><p>
Annual Salary:</p><p>
$405,000 - $485,000 USD</p></div></div><div><h2 class="jobSectionHeader"><b>
Logistics</b></h2>
<p><b>
Minimum education: </b>Bachelor&rsquo;s degree or an equivalent combination of education, training, and/or experience</p>
<p><b>
Required field of study: </b>A field relevant to the role as demonstrated through coursework, training, or professional experience</p>
<p><b>
Minimum years of experience: </b>Years of experience required will correlate with the internal job level requirements for the position</p>
<p><b>
Location-based hybrid policy:</b> Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.</p>
<p><b>
Visa sponsorship:</b> We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.</p>
<p><b>
We encourage you to apply even if you do not believe you meet every single qualification.</b> Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.<br>
<br>
<b>Your safety matters to us.</b> To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links&mdash;visit anthropic.com/careers directly for confirmed position openings.</p>
<h2 class="jobSectionHeader"><b>
How we're different</b></h2>
<p>
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact &mdash; advancing our long-term goals of steerable, trustworthy AI &mdash; rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.</p>
<p>
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI &amp; Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.</p>
<h2 class="jobSectionHeader"><b>
Come work with us!</b></h2>
<p>
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. <b>Guidance on Candidates' AI Usage:</b> Learn about our policy for using AI in our application process.</p></div></div>

Engineering Manager, Data Architecture

Airbyte

<div><p>Airbyte is the data and action layer for AI agents. We give agents fast, accurate, authenticated access to business data across hundreds of sources, so they can discover the entities that matter, reason over real-time context, and take action in the systems they read from, not just observe them.</p><p></p><p>
We started as the open-source standard for data movement and proved the economics of data integration at scale: hundreds of connectors, thousands of companies, and, since 2020, have raised $181M from leading investors including Benchmark, Accel, Altimeter, Coatue, and Y Combinator. As our CEO Michel Tricot puts it, &quot;the last ten years were all about structured data. The future is all about context.&quot; We're now building that context infrastructure for production-grade agents on the same open foundation, as agents become the primary consumers of enterprise data.</p><p></p><p>
Our mission is unchanged: make data available and actionable to everyone, everywhere. That everyone now includes AI agents.</p><p></p><h2 class="jobSectionHeader"><b>
Engineering Hiring Sprint:</b></h2><p>
We're growing our engineering team and are accelerating hiring through a focused Engineering Hiring Sprint. Rather than stretching interviews over several weeks, we're bringing exceptional candidates through an expedited process and making hiring decisions quickly.</p><p></p><p>
Interview process:</p><ul><li><p>
Apply</p></li><li><p>
Technical Take-Home (Java or Python)</p></li><li><p>
Hiring Manager Interview</p></li><li><p>
In-Person Onsite (the week of July 20)</p></li><li><p>
Hiring decision by the end of the week</p></li></ul><p></p><p>
We're hiring across multiple engineering teams, including:</p><ul><li><p>
Platform Engineers</p></li><li><p>
Database Engineers</p></li><li><p>
Site Reliability Engineers</p></li><li><p>
Extensibility API Engineers</p></li><li><p>
AI Agents Engineers</p></li><li><p>
Engineering Managers</p></li></ul><p></p><p>
If you enjoy solving complex technical problems, moving quickly, embracing AI, and taking ownership of your work, we'd love to meet you.</p><p></p><h2 class="jobSectionHeader"><b>
The Role:</b></h2><p>
Airbyte is looking for an Engineering Manager, Platform to lead the team responsible for the infrastructure, tooling, and engineering systems that power Airbyte Cloud, Airbyte Flex, and Airbyte Agents.</p><p></p><p>
As an Engineering Manager on the Platform team, you'll lead the engineers responsible for cloud infrastructure, deployment systems, CI/CD, observability, reliability, and the internal tooling that powers engineering velocity across the company. Your work directly shapes both how fast engineers ship and how customers experience Airbyte. This isn't a keep-the-lights-on role. You'll make real tradeoffs between engineering velocity, customer-facing reliability, and long-term architecture every week, and you'll help define how AI transforms the way we build and operate software.</p><p></p><p>
This role combines people leadership, technical strategy, operational excellence, and platform thinking. You'll help define how engineering works at Airbyte - not just what we build.</p><div><br>
</div><h2 class="jobSectionHeader"><b>
What You&rsquo;ll Do:</b></h2><ul><li><p>
Lead, mentor, and grow a team of Platform Engineers, Fullstack Engineers, and SREs. Recruit engineers who understand that infrastructure decisions are product decisions.</p></li><li><p>
Own the reliability and operational health of Airbyte's production systems.</p></li><li><p>
Define the roadmap for Airbyte's platform: infrastructure, CI/CD, deployment automation, observability, internal tooling, and the product surfaces built on top of them.</p></li><li><p>
Invest in and drive adoption of AI-powered workflows for debugging, release validation, infrastructure management, and developer productivity, moving past experimentation into real operational leverage.</p></li><li><p>
Lead incident response, run blameless postmortems, and ensure systemic fixes follow every outage. Continuously reduce operational toil through automation.</p></li><li><p>
Build leverage: a week-long task this year should take ten minutes next year.</p></li></ul><div><br>
</div><h2 class="jobSectionHeader"><b>
Success Metrics:</b></h2><ul><li><p>
Engineers deploy with confidence and ship faster quarter over quarter.</p></li><li><p>
Platform reliability improves as measured by customer-facing SLAs, not just internal dashboards.</p></li><li><p>
Operational toil decreases through automation, not heroics.</p></li><li><p>
Incidents are detected faster, resolved faster, and the same failure doesn't happen twice.</p></li><li><p>
Your team is engaged, growing, and building careers they're proud of.</p></li></ul><div><br>
</div><h2 class="jobSectionHeader"><b>
What You&rsquo;ll Need:</b></h2><ul><li><p>
5+ years of software engineering experience, 2+ years managing engineering teams.</p></li><li><p>
Experience leading Platform Engineering, Infrastructure, SRE, or Developer Productivity organizations.</p></li><li><p>
Strong understanding of cloud infrastructure, CI/CD, observability, and distributed systems.</p></li><li><p>
Experience operating production systems at scale.</p></li><li><p>
You think about platform work in terms of customer impact, not just engineering elegance.</p></li><li><p>
You've navigated the tension between paying down tech debt and shipping product, and you can articulate how you made those calls.</p></li><li><p>
Excellent communication skills. You can translate platform strategy into language that product, design, and business leaders understand.</p></li><li><p>
You have an insatiable desire to ship.</p></li></ul><p></p><h2 class="jobSectionHeader"><b>
Nice To Have:</b></h2><ul><li><p>
Experience with AI-assisted engineering workflows or agentic software development.</p></li><li><p>
Experience building internal developer platforms.</p></li><li><p>
Familiarity with Terraform, Helm, Kubernetes, GitHub Actions, and cloud-native infrastructure.</p></li><li><p>
Experience with data infrastructure, ETL/ELT, or large-scale distributed systems.</p></li><li><p>
Experience contributing to open-source engineering organizations.</p></li><li><p>
Familiarity with Airbyte, connector ecosystems, or developer tooling platforms.</p></li></ul><div><br>
</div><h2 class="jobSectionHeader"><b>
Why This Role Matters:</b></h2><p>
Platform Engineering is the force multiplier for every engineering team at Airbyte.</p><p></p><p>
Your mission is to build the systems, tooling, and infrastructure that enable engineers to move faster while making our platform more reliable, secure, and scalable. Success means every deployment becomes safer, every incident becomes easier to resolve, every engineer becomes more productive, and AI becomes a natural part of how software is built.</p><p></p><p>
The best platform teams are invisible&mdash;they make everyone else dramatically more effective. That's the team you'll build.</p><p></p><h2 class="jobSectionHeader"><b>
Location:</b></h2><ul><li><p>
Onsite 4 days/week in San Francisco, CA</p></li></ul><p></p><h2 class="jobSectionHeader"><b>
Why You'll Love Working at Airbyte:</b></h2><p>
At Airbyte, we believe great work happens when people feel supported, trusted, and empowered to grow. Our market-leading Total Rewards package is designed to help you thrive professionally and personally. Our benefits and perks include:</p><ul><li><p>
Flexible PTO with a culture that encourages at least 25 days off annually</p></li><li><p>
16 weeks fully paid parental leave for all parents</p></li><li><p>
Comprehensive medical, dental, and vision coverage for employees and dependents</p></li><li><p>
401(k) retirement plan</p></li><li><p>
Professional development budget, conference sponsorship, and book reimbursement</p></li><li><p>
Commuter benefits and monthly internet reimbursement</p></li><li><p>
Breakfast and lunch in our San Francisco office</p></li><li><p>
A collaborative, in-person culture focused on learning, growth, and impact</p></li></ul><p></p><p>
If you find this role exciting, we encourage you to apply even if you think you don&rsquo;t meet all of the requirements!</p><p></p><p>
We are not accepting agency submissions or recruiting firm support for this role. Unsolicited resumes will not be considered.</p><p></p><p>
Airbyte is an equal opportunity employer that does not discriminate on the basis of actual or perceived race, creed, color, religion, national origin, ancestry, age, physical or mental disability, pregnancy, genetic information, sex, sexual orientation, gender identity or expression, marital status, familial status, domestic violence victim status, veteran or military status, or any other legally recognized protected basis under federal, state or local laws. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.</p><p></p><p>
Airbyte is committed to providing reasonable accommodations for qualified individuals with disabilities in our job application procedures. Please let us know if you need assistance or accommodations due to a disability.</p><p>
Compensation Range: $217K - $282K</p></div>

Engineering Manager, Platform - Hiring Sprint

<div><div><h2 class="jobSectionHeader"><b>About Anthropic</b></h2>
<p>
Anthropic&rsquo;s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.</p></div><div><h3 class="jobSectionHeader"><b>
About the role</b></h3>
<p>
We're hiring an Engineering Manager to lead the team that builds and runs anthropic.com and claude.com, brand web surfaces where most of the world meets Claude and Anthropic for the first time. They carry our research, product launches, policy work, and brand, and they ship at the pace of a fast-moving company.</p>
<p>
You'll manage a small, senior team of web engineers, owning the full stack behind our marketing web: CMS architecture, the publishing pipeline, the design system in code, and the campaign and launch experiences tied to model and product releases. This role sits inside Brand Creative and partners closely with design, editorial, marketing, and product growth engineering. We want a player-coach: comfortable setting technical direction without an existing playbook, staying close to the code and the launches, and building the tooling that lets designers and editors publish without an engineer in the loop.</p>
<h3 class="jobSectionHeader"><b>
Responsibilities</b></h3>
<ul><li>Manage and grow the team: coach, hire, and set the bar for craft and reliability</li>
<li>Own the technical roadmap for anthropic.com and claude.com: CMS architecture, publishing workflow, performance, SEO health, localization, the production design system, deploy pipeline, on-call, and incident response</li>
<li>Run launch engineering for model, product, and campaign moments, shipping high-quality pages on tight, shifting timelines without heroics</li>
<li>Build the brand tooling layer: internal tools, integrations, and Claude-in-the-loop workflows that let designers, writers, and marketers publish safely without engineering as a bottleneck</li>
<li>Partner with design and editorial on creative technology, data visualizations, interactive explainers, campaign experiences, that need real engineering, not a template</li>
<li>Align web engineering work with Marketing, Product, Comms, and core Engineering, and say no to what doesn't move brand and business goals</li>
</ul><h3 class="jobSectionHeader"><b>You may be a good fit if you have</b></h3>
<ul><li>10+ years in software engineering, 5+ managing engineers, with that time spent as an engineering manager inside a marketing, brand, or design engineering organization specifically, not just a product engineering one</li>
<li>Owned a high-traffic marketing or brand web surface end to end: CMS, frontend, infrastructure, and the publishing workflow around it</li>
<li>Strong frontend depth yourself, TypeScript, React, modern CSS, a modern headless CMS, and a real preference for staying close to the code</li>
<li>Built tooling that made non-engineers faster and safer, with a concrete story of what changed</li>
<li>Shipped under real launch pressure with cross-functional partners, without dropping the quality bar</li>
<li>Comfortable operating at the seam between Design, Marketing, and Engineering</li>
<li>Deep interest in AI and excitement about putting Claude into the build and publish loop itself, not just on the page</li>
</ul><h3 class="jobSectionHeader"><b>Strong candidates may also have</b></h3>
<ul><li>Held a Head of Web Engineering or equivalent platform lead title at a product company</li>
<li>Built localization and multi region web infrastructure</li>
<li>Come from a company where brand and product web sat close together: design tools, productivity, or developer tools</li>
<li>Led design systems or component library work that shipped to production</li>
</ul></div><div><div><div><div><p>
The annual compensation range for this role is listed below.</p>
<p>
For sales roles, the range provided is the role&rsquo;s On Target Earnings (&quot;OTE&quot;) range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.</p></div></div><p>
Annual Salary:</p><p>
$460,000 - $460,000 USD</p></div></div><div><h2 class="jobSectionHeader"><b>
Logistics</b></h2>
<p><b>
Minimum education: </b>Bachelor&rsquo;s degree or an equivalent combination of education, training, and/or experience</p>
<p><b>
Required field of study: </b>A field relevant to the role as demonstrated through coursework, training, or professional experience</p>
<p><b>
Minimum years of experience: </b>Years of experience required will correlate with the internal job level requirements for the position</p>
<p><b>
Location-based hybrid policy:</b> Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.</p>
<p><b>
Visa sponsorship:</b> We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.</p>
<p><b>
We encourage you to apply even if you do not believe you meet every single qualification.</b> Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.<br>
<br>
<b>Your safety matters to us.</b> To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links&mdash;visit anthropic.com/careers directly for confirmed position openings.</p>
<h2 class="jobSectionHeader"><b>
How we're different</b></h2>
<p>
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact &mdash; advancing our long-term goals of steerable, trustworthy AI &mdash; rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.</p>
<p>
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI &amp; Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.</p>
<h2 class="jobSectionHeader"><b>
Come work with us!</b></h2>
<p>
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. <b>Guidance on Candidates' AI Usage:</b> Learn about our policy for using AI in our application process.</p></div></div>

Manager, Web Engineering

Instabase

<div><div><p>At Instabase, we're passionate about democratizing access to cutting-edge AI innovation to enable any organization to solve previously unsolvable unstructured data problems in their industry. With customers representing some of the largest and most complex organizations in the world, and investors like Greylock, Andreessen Horowitz, and Index Ventures, our market opportunity is near infinite.</p>
<p>
Instabase offers a consumption-based pricing model where customers can pay only for what they use, aligning directly with the value our products deliver. It empowers our clients to explore our AI Hub platform features extensively, enabling them to uncover crucial business insights. This customer-centric model allows Instabase to glean insights from diverse use cases and behaviors, ensuring we deliver top-tier solutions that provide unmatched advantages for everyday business operations.</p>
<p>
With offices in San Francisco and Bengaluru, Instabase is a truly global company. We are <b>people-first</b>, and we've built a fearlessly experimental, endlessly curious, customer obsessed team who work together and help organizations around the world turn their unstructured data into insights instantly.</p></div><h1 class="jobSectionHeader"><b>
Technical Lead Manager (TLM) &mdash; AI Systems &amp; Agents</b></h1>
<h2 class="jobSectionHeader"><b>About Instabase and the Evolution of Our Business Model</b></h2>
<p>
Instabase is the pioneer in helping the world's largest enterprises&mdash;including global banks, insurance leaders, and healthcare giants&mdash;unlock and automate value from unstructured data. Our core platform is the industry standard for reading, understanding, and processing complex, unstructured documents at massive scale.</p>
<p>
As a strategic addition to our current business model, we are building <b>SuperApp,</b> our natively multimodal, stateful AI assistant and autonomous agent platform. SuperApp represents the next evolution of Instabase: moving from passive document extraction to active, self-correcting agentic execution. By combining our enterprise-grade document understanding with secure, real-time sandboxed code execution, SuperApp enables users to not only parse unstructured data but programmatically act on it, write and run execution scripts, orchestrate complex software tools over Model Context Protocol (MCP), and complete open-ended reasoning tasks in a secure environment.</p>
<p>
To lead the engineering team behind this next-generation capability, we are seeking an elite, hands-on <b>Technical Lead Manager (TLM) &mdash; AI Systems &amp; Agents</b>.</p>
<h2 class="jobSectionHeader"><b>
The Role: Player-Coach Leadership</b></h2>
<p>
This is an high-impact, low-bureaucracy role designed for a world-class systems engineer and builder. We keep our teams intentionally lean and fast. You will serve as a <b>Player-Coach leading a tight, elite squad of 3 to 5 AI systems engineers</b>.</p>
<p>
At Instabase, we believe managers of small teams should stay close to the metal. Your time will be split:</p>
<ul>
<li><b>60% to 70% Hands-on Engineering:</b> Actively designing multi-turn agent loops, writing production code, building secure sandboxing environments, and architecting systems.</li>
<li><b>30% to 40% Leadership &amp; Mentorship:</b> Recruiting top-tier talent, mentoring engineers, reviewing PRs, and aligning product roadmaps with technical execution.</li>
</ul><h2 class="jobSectionHeader"><b>What You Will Do</b></h2>
<ul><li><b>Architect Stateful Agent Loops:</b> Design and implement highly reliable, multi-turn agentic planning and execution state machines capable of self-correction, tool orchestration, and long-context memory persistence.</li>
<li><b>Build Secure Execution Sandboxes:</b> Own the runtime execution layer where model-generated code (such as Python data-analysis scripts) is safely isolated, monitored, and run in real-time without compromising enterprise security boundaries.</li>
<li><b>Pioneer Tool Orchestration &amp; MCP:</b> Expand our agent capabilities by designing composable tool-calling integrations using Model Context Protocol (MCP) and custom API interfaces.</li>
<li><b>Build Evaluation &amp; Trajectory Testing Harnesses:</b> Establish programmatic frameworks (using LLM-as-a-judge and trajectory evaluations) to test if agent loops, tool-calling selections, and error recoveries behave safely and deterministically.</li>
<li><b>Scale High-Performance Systems:</b> Work on deep systems problems including latency optimization, semantic caching, speculative execution, and streaming intermediate agent states for a responsive user experience.</li>
<li><b>Scale the Team:</b> Bootstrap, hire, and mentor a small, elite, high-velocity team of software and AI engineers.</li>
</ul><h2 class="jobSectionHeader"><b>Our Technical Stack</b></h2>
<ul><li><b>Orchestration &amp; Frameworks:</b> LangGraph, LangChain, Go/Python, React, Node, Next.js.</li>
<li><b>Infrastructure &amp; Security:</b> Secure sandboxed runtimes (Docker, gVisor, WebAssembly), GCP, AWS, Kubernetes, Cloud SQL (PostgreSQL, TimescaleDB), Redis, Pub/Sub.</li>
<li><b>AI &amp; Models:</b> Integration with advanced reasoning models (GPT-4o, o3, Claude 3.5 Sonnet, DeepSeek) across custom function-calling, LLM fine-tuning, and hybrid vector-search RAG pipelines.</li>
<li><b>Standards:</b> Model Context Protocol (MCP) tool schemas and APIs.</li>
</ul><h2 class="jobSectionHeader"><b>About You</b></h2>
<ul><li><b>8+ Years of Professional Engineering Experience:</b> A strong, proven background in software engineering, with significant tenure building and scaling backend systems, infrastructure, or platform services.</li>
<li><b>Active LLM &amp; Agentic Engineering Experience:</b> Practical, hands-on experience building production-grade LLM applications, multi-agent workflows (using DAGs or state machines), or tool-calling executors.</li>
<li><b>Systems &amp; Infrastructure Rigor:</b> Deep familiarity with building secure sandboxed runtimes, container isolation, API platforms, caching strategies, or high-throughput real-time data streaming.</li>
<li><b>Small-Team Leadership Experience:</b> Proven track record of mentoring senior engineers, driving technical design reviews, and leading high-velocity squads as a Tech Lead, TLM, or hands-on EM.</li>
<li><b>An Active Builder:</b> You love writing code. You are excited about the prospect of coding daily and staying out of the meetings and administrative bloat of traditional big-tech management.</li>
<li><b>Educational Background:</b> BS, MS, or Ph.D. in Computer Science, Computer Engineering, or a highly quantitative field.</li>
</ul>
<p><b>Compensation</b>: The base salary range for this role is $230,00 to $270,000 + bonus, equity, and benefits. The actual pay may vary based on factors such as location, experience, and skills.</p>
<div>
<div><b>US Benefits:</b></div>
<ul><li><b>Flexible PTO</b>: Because life is better when you actually live it!</li>
<li><b>Comprehensive Coverage</b>: Top-notch medical, dental, and vision insurance.</li>
<li><b>401(k) with Matching</b>: We've got your back for a secure future.</li>
<li><b>Parental Leave &amp; Fertility Benefits</b>: Supporting you in growing your family, your way.</li>
<li><b>Therapy Sessions Covered</b>: Mental health matters&mdash; 10 free sessions through Samata Health.</li>
<li><b>Wellness Stipend</b>: For gym memberships, fitness tech, or whatever keeps you thriving.</li>
<li><b>Lunch on Us</b>: Enjoy a lunch credit when you're in the office.</li>
</ul>
<p>#Li-Hybrid</p></div><div><br>
<p>
</p></div><div><p>Instabase is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status. Research shows that in order to apply for a job, women feel they need to meet 100% of the criteria while men usually apply after meeting about 60%. Regardless of how you identify, if you believe you can do the job and are a good match, we encourage you to apply.</p></div></div>

Technical Lead Manager

David Joseph & Company

<div><p><b>San Francisco, CA &middot; On-site &middot; Full-time</b><br>
<b>Compensation:</b> $130,000&ndash;$150,000 base (up to $300K total cash comp) + equity</p><h3 class="jobSectionHeader"><b>
About the Company</b></h3><p>
A fast-growing, venture-backed AI company building the training data and evaluation infrastructure that leading frontier AI labs use to improve their models &mdash; designing high-signal datasets and running rigorous evaluations that go beyond static benchmarks. One of the fastest-growing companies in its cohort.</p><p>
Founded 2025 &middot; 11&ndash;50 people &middot; Industry: AI training data &amp; model evaluation infrastructure</p><h3 class="jobSectionHeader"><b>
The Role</b></h3><p>
A founding-level role at the intersection of technical execution and strategic leadership. You'll own high-impact initiatives end-to-end &mdash; from requirements through delivery &mdash; managing teams of engineers, data scientists, and ML specialists while shipping production code yourself, and interfacing directly with research teams at leading AI labs.</p><p><b>
What you'll be doing</b></p><ul><li>
Own end-to-end technical initiatives: scoping requirements, building solutions, managing experts through delivery, and shipping code yourself when it unblocks the team.</li><li>
Design and build technical infrastructure and tooling for dataset generation, quality control, and delivery pipelines across multiple concurrent lab contracts.</li><li>
Manage and mentor teams of software engineers, data scientists, and ML specialists; set technical direction and hold the bar for execution velocity.</li><li>
Interface directly with research teams at leading AI labs to translate their needs into technical specs and ensure delivery meets their standards.</li><li>
Debug production issues live under pressure; rapidly context-switch between hands-on engineering, team leadership, and strategic problem-solving.</li><li>
Support the founding team on the highest-impact work &mdash; internal tooling, major contracts, and hiring.</li></ul><p><b>
Tech stack:</b> Python; data pipelines, APIs, ML/AI tooling</p><h3 class="jobSectionHeader"><b>
Requirements</b></h3><ul><li>
CS degree, engineering experience, or equivalent demonstrated ability to ship technical projects</li><li>
Manage teams of technical experts across software engineering, data science, and machine learning</li><li>
Build technical infrastructure and tooling for dataset generation, quality control, and delivery pipelines</li><li>
Drive technical and operational initiatives end-to-end: scoping requirements, building solutions, and managing technical experts</li><li>
Interface directly with engineering and research teams at leading AI labs</li><li>
Support founding team on high-priority technical projects and operational initiatives</li><li>
Proficiency in Python and production-quality code</li><li>
Experience with data pipelines, APIs, or ML/AI tooling</li><li>
Strong leadership experience and communication skills</li><li>
Ability to context-switch rapidly between technical and strategic work</li><li>
Intense work ethic, agency, and drive</li><li>
Competitive nature and track record of exceptional achievement</li><li>
Undergraduate degree from the U.S., Canada, or the U.K.</li></ul><h3 class="jobSectionHeader"><b>
Green Flags</b></h3><ul><li>
Background in software engineering, ML engineering, AI research, or computer science</li><li>
Experience at top tech company (FAANG, frontier AI lab) or quantitative trading firm</li><li>
Prior startup experience or founding experience</li><li>
Willingness to work long hours and weekends when projects demand it</li></ul><h3 class="jobSectionHeader"><b>
Red Flags</b></h3><ul><li>
Worked cushy tech jobs (FAANG PM, etc.) and may not be used to intense work environments.</li><li>
Struggles with ambiguity or lacks examples of owning large, complex projects.</li><li>
Only interested in remote work &mdash; role is strictly in-person.</li><li>
Can't articulate why they want to pivot into AI ops or join a startup now.</li><li>
No experience managing teams or unclear on motivating people toward execution.</li></ul><h3 class="jobSectionHeader"><b>
Why Join</b></h3><ul><li>
Direct access to the founding team on their highest-priority problems</li><li>
Exposure to leading frontier AI labs; work that powers major contracts</li><li>
Up to $300K total cash comp plus meaningful equity in a fast-scaling company</li></ul><h3 class="jobSectionHeader"><b>
Details</b></h3><ul><li><b>
Location:</b> San Francisco, CA</li><li><b>
Work policy:</b> On-site &mdash; strictly in-person</li><li><b>
Compensation:</b> $130,000&ndash;$150,000 base (up to $300K total cash comp) + equity</li><li><b>
Visa sponsorship:</b> None available</li><li><b>
Employment type:</b> Full-time</li></ul></div>

Strategic Projects Lead - Coding

CUPERTINO ELECTRIC

<div><div><b>Posting Title: </b>Project Engineer - Modular - Data Center
</div><div><b>Reports To:</b> Director, Project Management</div><div><b>
Location:</b><b> </b>Remote | Edgerton, WI | Salt Lake City, UT | Houston, TX | Greater San Francisco Bay Area |</div><div><b>
Salary Range:</b><b> </b>$75,000 to $103,000</div><div>
</div><div>
Final determination of a successful candidate&rsquo;s starting pay will vary based on a number of factors, including market location and may vary depending on job-related knowledge, skills, education and experience. The pay scale listed for this position is generally for candidates that meet the specified qualifications and requirements listed on this specific job description. We provide a competitive compensation package that recognizes your experience, credentials, and education alongside a robust benefits program to meet your needs. Our compensation reflects the cost of labor across several US geographic markets.</div><p></p><p><b>
WHO WE ARE</b></p><div>
Since 1954, Cupertino Electric, Inc. (CEI)<b> </b>has been powered by people who&rsquo;ve built a reputation for delivering high-profile, complex projects. Real, tangible things that alter the landscape and improve lives. And we've done it with integrity for more than 70 years. We&rsquo;re problem solvers and innovation seekers. We&rsquo;re team players and safety fanatics. And we're proud to be part of Quanta Services (PWR:NYSE), North America's largest employer of skilled craft labor. Because what we do is important, but how we do it is everything.</div><div>
</div><div><b>
THE MODULAR TEAM</b></div><div>
Modular solutions by CEI anticipate and solve ongoing problems for data center operators. Our proven, factory-built and tested data center infrastructure products bring deployments online faster, more reliably, and with less risk than conventional methods.</div><div>
</div><div><b>
ABOUT THE ROLE</b></div><div>
We&rsquo;re seeking a Project Engineer ready to be on the front lines of a project-giving daily support to the field, project management, and customer teams. Our Project Engineers (PE) are vital in keeping our processes moving along and assists in the execution of project plans. This role will be responsible for specific activities such as coordinating material onsite delivery dates, maintaining RFI, submittals, and change order logs, and will serve as a key point of contact for internal customers.</div><div>
</div><div><b>
ABOUT YOU</b></div><div>
You are willing and excited to learn&mdash;with a continuous focus on cultivating a growth mindset. You bring a wide range of skills from being organized to communicating through various channels and collaborating with your team members. You are comfortable taking initiative and ownership of your work. You are not afraid to throw on a pair of boots and your protective personal equipment (PPE)&mdash;safety first!</div><div>
</div><div><b>
WHAT YOU WILL GAIN</b></div><div>
At Cupertino Electric you&rsquo;ll be on a career development path to project management. You&rsquo;ll work directly for a project manager or project executive on a team that partners with field, engineering, and design teams. It&rsquo;s ok if you don&rsquo;t have a deep understanding of electrical construction, just be ready to learn and get fired up. You'll have the opportunity to soak up knowledge from everyone you work with &ndash; from the journeyman and general foreman to the project team assigning daily tasks. In addition to on-the-job experience and mentoring from your peers, you&rsquo;ll attend vendor off sites, training classes, and other learning opportunities.</div><div>
</div><div><b>
MINIMUM QUALIFICATIONS</b></div><div><div><i>
Any combination of education and experience that, in the sole judgment and discretion of Company, would likely provide the required knowledge, skills and abilities as well as possession of any required licenses or certifications may qualify.</i></div></div><div><div><i>
</i></div></div><div><b>
Education:</b><b> </b>High School Diploma or GED required. Bachelor&rsquo;s Degree in Construction Management, Business, Engineering, or similar preferred.</div><div><b>
</b></div><div><b>
Licensure/Certifications:</b><b> </b>None required.</div><div><b>
</b></div><div><b>
Experience:</b><b> </b>Zero (0) years of construction or related experience required. Two (2) years of construction or related experience preferred.</div><div>
</div><div><b>
Driving Record:</b><b> </b>Valid state-issued driver&rsquo;s license and satisfactory driving record.</div><div><div><i>
</i></div></div><div><ul><li><i>Applicants must be authorized to work in the United States. This position is not eligible for sponsorship.</i></li></ul></div><div><div><i>
</i></div></div><div>
#LI-DM1</div><div><div><i>
</i></div></div><div><b>
PLEASE NOTE:</b> CEI will never ask for any money or financial information from applicants during the hiring process. To learn more about &quot;job scams&quot; how to avoid them, <div><b>click here.</b></div></div><div>
</div><div>
CEI is a place where every single person can&mdash;and does&mdash;have an impact on the work we do and the communities we serve. Here, you can build your own story and grow to your full potential. You can collaborate and celebrate with amazing people. And you&rsquo;ll go home every day knowing you helped contribute to important work that shapes people&rsquo;s lives. Our commercial, data center and energy projects may be complex, but our approach is simple. We build great things and we do it with great people.</div><div>
</div><div>
The job duties listed are typical examples of work performed by positions in this job classification and are not designed to contain or be interpreted as a comprehensive inventory of all duties, tasks, and responsibilities. Specific duties and responsibilities may vary depending on department, program or project needs without changing the general nature and scope of the job or level of responsibility. Employees may also perform other duties as assigned.</div><div>
</div><div>
Cupertino Electric, Inc. (CEI) is proud to be an Equal Employment Opportunity and affirmative action employer. We celebrate diversity and do not discriminate based on race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability status, or any other applicable characteristics protected by law.</div><div>
</div><div>
Cupertino Electric Inc. aims to make cei.com 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, please contact us at ceijobs@cei.com or 1-(877)-747-4CEI.</div></div>

Project Engineer - Modular - Data Center

MERCOR

<div><h2 class="jobSectionHeader"><b>About Mercor</b></h2><p></p><p>
Mercor's mission is to organize human intelligence to power the AI economy. We partner with leading AI labs and enterprises to provide the human intelligence essential to AI development. Our vast talent network trains frontier AI models in the same way teachers teach students: by sharing knowledge, experience, and context that can't be captured in code alone. Today, more than 30,000 experts in our network collectively earn over $3 million a day.</p><p></p><p>
Mercor is creating a new category of work where expertise powers AI advancement. Achieving this requires an ambitious, fast-paced and deeply committed team. You&rsquo;ll work alongside researchers, operators, and AI companies at the forefront of shaping the systems that are redefining society. Mercor is a profitable Series C company valued at $10 billion. We work in-person five days a week in our San Francisco, NYC, or London offices.</p><p><b>
About the Role:</b></p><p>
Mercor&rsquo;s Data team is looking for a Project Manager to own the end-to-end execution of data initiatives, from intake and scoping through delivery and post-launch handoff. You&rsquo;ll be the connective tissue across data engineering, analytics, and cross-functional stakeholders, ensuring every project is delivered on time, within budget, and at the level of quality our clients and internal teams expect.</p><p></p><p><b>
What You&rsquo;ll Do:</b></p><ul><li><p>
Own end-to-end project management for data initiatives, including intake and scoping, requirements gathering, readiness reviews, cross-functional approvals, and launch/post-launch handoff.</p></li><li><p>
Take direct responsibility for the successful execution of projects, including meeting project goals, client/stakeholder service, quality of work, resource utilization, and profitability.</p></li><li><p>
Lead, motivate, and build a strong team environment for project contributors, inspiring a shared vision, enabling others to act, and taking ownership of team outcomes.</p></li><li><p>
Partner with team leads to vet, scope, and kick off assignments, and own all due dates and milestones.</p></li><li><p>
Develop and maintain accurate project documentation, including timelines, budgets, and scoping documents.</p></li><li><p>
Lead communications and change management across the project lifecycle, from kickoff briefings for stakeholders through end-user notifications ahead of launches, ensuring the right people have the right information at the right time.</p></li><li><p>
Serve as the primary coordination point across functional teams (Data Engineering, Analytics, Legal, Finance, etc.), aligning workstreams and driving decisions and accountability against timelines.</p></li><li><p>
Anticipate and manage the downstream implications of project decisions before they create risk; proactively surface dependencies, resolve blockers, and escalate when needed.</p></li><li><p>
Build and continuously improve the infrastructure that makes data project delivery scalable: intake forms, templates, checklists, SOPs/playbooks, and retrospectives that feed into process improvement.</p></li><li><p>
Manage relationships with key stakeholders to promote trust and future opportunities.</p></li></ul><p></p><p><b>
Knowledge, Skills, &amp; Abilities:</b></p><ul><li><p>
Excellent leadership, communication, and stakeholder management skills.</p></li><li><p>
Ability to work collaboratively across departments (engineering, data science, leadership, legal, finance).</p></li><li><p>
Superb attention to detail, sound judgment, and strong listening skills.</p></li><li><p>
Comfortable driving process improvement and proposing more efficient ways of working.</p></li><li><p>
Passion for data-driven products and cross-functional collaboration.</p></li></ul><p></p><p><b>
Minimum Qualifications:</b></p><ul><li><p>
3-5+ years of project management experience or related experience.</p></li><li><p>
Bachelor&rsquo;s degree or equivalent experience in a related field.</p></li></ul><p></p><p><b>
Preferred Qualifications:</b></p><ul><li><p>
Proven track record managing large, cross-functional data or technical projects.</p></li><li><p>
Experience managing a high volume of projects in parallel.</p></li><li><p>
Experience with data, engineering, or analytics project types.<b>Benefits</b></p></li></ul><ul><li><p>
Bi-annual performance bonus structure</p></li><li><p>
Generous equity grant vested over 4 years</p></li><li><p>
Up to $15k Relocation bonus</p></li><li><p>
$10K housing bonus (if you live within 0.5 miles of our office)</p></li><li><p>
$1.5K monthly stipend for meals</p></li><li><p>
Free Equinox membership</p></li><li><p>
$200 monthly laundry reimbursement</p></li><li><p>
$200 monthly personal wellness reimbursement</p></li><li><p>
Health, Dental, Vision insurance</p></li></ul><p>
Compensation Range: $130K - $180K</p></div>

Project Manager, Data Team

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