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Genesis Recruit Solutions

<p><b>Senior Growth Engineer</b></p><p><b>Role Details</b></p><p><b>Salary: </b>$225K - $290K</p><p><b>Hybrid Work Policy: </b>San Francisco, CA or Bay Area (Hybrid)</p><p><b>Full-time Position</b></p><p><b>Location: </b>San Francisco, CA, Bay Area, CA</p><p><b>Tech Stack: </b>TypeScript, Node.js, REST APIs, LLM APIs, Datadog, Vercel, React, Next.js, Python, SQL, PostgreSQL, Tailwind CSS, Anthropic Claude API, Mixpanel, Amplitude, PostHog</p><p><b>Equity: </b>Competitive equity &mdash; details shared during the process.</p><p><b>Visa Sponsorship Details: </b>Open to visa transfers (e.g. OPT, H1B transfers)</p><p><b>Additional Visa Sponsorship Details: </b>Open to discussion for truly exceptional candidates, but not standard practice currently.</p><p><b>Hiring Count: </b>Looking to hire <b>1 - 2 candidates</b> for this role</p><p><b>About this Role:</b></p><p><b>Senior Growth Engineer Role</b></p><p>You'll write the code that turns developers discovering Firecrawl into developers who can't live without it. This is a full-stack engineering role pointed entirely at growth: you'll own the signup, activation, onboarding, and conversion experience, and you'll be measured on the funnel metrics you move, not just the features you ship. You'll instrument, experiment, build, and iterate on the product surfaces that drive our PLG motion. You'll report to our VP of Revenue and Success and own real conversion outcomes from day one.</p><p><b>About Firecrawl:</b></p><p>Firecrawl is the easiest way to turn the web into data AI agents can use. One API call converts any URL into clean, LLM-ready markdown or structured data - the boring-hard problem everyone building with LLMs eventually hits, solved.</p><p>We hit 8 figures in ARR in year one and more than doubled it in year two. We have 147k+ GitHub stars, and developers, agents, and category-defining AI companies build on us every day. Growth like this is rare, and we're just getting started.</p><p>We're a small team punching far above our weight. Everyone here owns a real piece of the product and company, end to end, and runs it themselves - no hiding behind process or headcount.</p><p>This is a place for people who want to work at the frontier: an AI company building the infrastructure other AI companies run on, not one bolting AI onto an existing product. We move fast, go deep, and are building the tools superintelligence will rely on to gather data from the web.</p><p><b>What You'll Do</b></p><ul><li>Own the growth surfaces end to end: signup, activation, onboarding, and conversion</li><li>Instrument the funnel, run experiments, and ship the changes that move real metrics</li><li>Build full-stack, from the frontend a developer first touches to the backend that powers it</li><li>Treat conversion and activation as your number, you own it, measure it, and move it</li><li>Work close to the data, form hypotheses, test them, and iterate fast on what works</li></ul><p><b>What We're Looking For</b></p><ul><li>You're a strong full-stack engineer who's worked on growth or PLG products</li><li>You've personally owned a conversion, activation, or funnel metric, and moved it, not just shipped features someone else measured</li><li>You think like a scientist: hypothesis, experiment, measure, iterate, and you've run real A/B tests you can talk about, including what you learned when they didn't go as planned</li><li>Bonus if you've shipped in-product growth surfaces at a dev-tools or SaaS company (onboarding, activation, upgrade flows, in-product guidance) or built conversion pages that measurably moved signup, not just static pages that shipped</li><li>Bonus for experience with our stack (Next.js, React, Tailwind, TypeScript, Vercel, PostgreSQL, and the Anthropic Claude API) or for having built with LLMs in production: prompt engineering, tool use, inference pipelines</li><li>You've worked on developer-facing products, SDKs, playgrounds, docs surfaces, APIs, and understand how developers actually adopt tools</li><li>You have a track record of staying with your work long enough to see it through (we look for real tenure, not a trail of short stints)</li><li>You move fast and close the loop - you'd rather ship, measure, and iterate than perfect on paper</li></ul><p><b>What We're NOT Looking For</b></p><ul><li>A growth marketer, this is an engineering role that writes production code</li><li>A backend engineer with no interest in the product surface or the metrics</li><li>Someone who's only ever shipped features without owning an outcome</li><li>A pattern of short stints, we want someone who commits</li></ul><p><b>A Note On Pace</b></p><p>We operate at an absurd level of urgency because the window for what we're building won't stay open forever. If you've felt what &quot;scaling chaos&quot; is like at a company growing fast from early revenue to real scale, you'll feel right at home. If that excites you, keep reading. If it doesn't, no hard feelings &mdash; but this role probably is not for you.</p><p><b>Requirements</b></p><p><b>Dealbreaker</b></p><p><b>Work Experience</b></p><p><b>Must have:</b></p><p>Full-stack ownership of features shipping end-to-end PLG features (onboarding, activation, upgrade prompts) that measurably moved a metric.</p><p><b>Hard Skills</b></p><p><b>Must have:</b></p><ul><li>Proficiency with React, TypeScript, Next.js, and Node.js</li><li>A/B testing and experimentation frameworks</li></ul><p><b>BaselineSeniority</b></p><p><b>Required:</b> 5 - 12 years of experience as a full-stack engineer with hands-on growth work as an IC at an early- or growth-stage startup.</p><p><b>Work Experience</b></p><p><b>Required:</b></p><p>Ran <b>growth experiments / A-B tests and analyzed funnels</b> (event tracking, SQL/product analytics) to find growth levers.</p><p><b>Hard Skills</b></p><p><b>Required:</b></p><p>AI-native workflow: fluent using AI coding tools (Cursor, Copilot, Claude Code) to ship faster.</p><p><b>Soft Skills</b></p><p><b>Required:</b></p><p>Trusted IC who shapes the growth roadmap and can partner with leadership to ship product.</p><p><b>Nice-to-haveWork Experience</b></p><p><b>Nice to have:</b></p><p>Built internal tooling that growth/product teams adopted.</p><p>Pay: $225,000.00 - $290,000.00 per year</p><p>Work Location: Hybrid remote in San Francisco, CA (San Francisco County)</p>

Senior Growth Engineer

Build AI

<div><h2 class="jobSectionHeader"><b>About Build AI</b></h2><p>
Build AI is the data hyperscaler for Physical AI. We co-design hardware, collection, infrastructure, and research to scale the physical labor dataset orders of magnitude faster than anyone in the world.</p><h2 class="jobSectionHeader"><b>
Job Summary</b></h2><p>
We&rsquo;re hiring generalist software engineers who can work across the company. This seat finds the gap, ships in days not weeks, and moves on. One week you might build a data pipeline; the next a hardware integration script, an internal tool, or a customer-facing API. The only constant is a problem that is time-sensitive and business-critical.</p><h2 class="jobSectionHeader"><b>
Key Responsibilities</b></h2><ul><li><p>
Detect the highest-leverage gap that week &mdash; ingest, APIs, orchestration, field tools, hardware glue &mdash; and ship production-quality code for it</p></li><li><p>
Build backend services and APIs for the data platform and the customer-facing product</p></li><li><p>
Write processing and validation pipelines for incoming in-the-wild datasets</p></li><li><p>
Script integrations between collection devices, cloud infrastructure, and software services</p></li><li><p>
Design interfaces and developer workflows that the rest of the company actually uses</p></li><li><p>
Work cross-functionally with research, Shenzhen hardware, and ops without waiting for a spec</p></li></ul><h2 class="jobSectionHeader"><b>
You may be a good fit if you have (Must-have qualifications)</b></h2><ul><li><p>
Strong full-stack skills; fluency in Python and at least one of TypeScript, React, Go, or C++</p></li><li><p>
1&ndash;5+ years shipping software end to end, ideally in a 0 1 or startup environment</p></li><li><p>
You ramp quickly in unfamiliar codebases and problem domains</p></li><li><p>
Bias toward action and comfort with incomplete information</p></li><li><p>
Experience shipping where the role was not clearly defined</p></li></ul><h2 class="jobSectionHeader"><b>
Strong candidates may also have experience with (Nice-to-have qualifications)</b></h2><ul><li><p>
Experience across backend, frontend, data, infra, and scripting</p></li><li><p>
Hardware-adjacent, AI, or large-scale data systems</p></li><li><p>
Prior startup experience during hypergrowth</p></li><li><p>
Infrastructure or DevOps (Linux, containers, cloud)</p></li></ul><h2 class="jobSectionHeader"><b>
Benefits</b></h2><ul><li><p>
Competitive pay</p></li><li><p>
Medical, dental, and vision packages with generous premium coverage</p></li><li><p>
$500 per month credit for waiving medical benefits</p></li><li><p>
Housing subsidy of $2k per month for those living within walking distance of the office</p></li><li><p>
Relocation support for those moving to San Francisco (Financial District) or Shenzhen (Nanshan)</p></li><li><p>
Various wellness benefits covering fitness, mental health, and more</p></li><li><p>
Daily lunch and dinner in our office</p></li><li><p>
Unlimited compute budget subject to ROI justification</p></li><li><p>
Unlimited Codex and Claude credits</p></li><li><p>
Travel</p></li></ul><h2 class="jobSectionHeader"><b>
How we're different</b></h2><p>
Build believes in the Bitter Lesson. By taking a general approach of learning from humans, our addressable market is all physical labor.</p><p>
We are a fully in-person team in San Francisco (Financial District) and Shenzhen (Nanshan), and greatly value engineering skills. We do not have boundaries between engineering and research, and we expect all of our technical staff to contribute to both and work across disciplines as needed.</p><p>
Build AI is an equal opportunity employer. We review every application. If you do not meet every bullet, still apply. Questions: research@build.ai</p><p>
Compensation Range: $180K - $300K</p></div>

Software Engineer, Generalist

Rakuten Global

<div><p><b>Job Description:
</b></p><h3 class="jobSectionHeader"><b>Rakuten International is a division of Rakuten Group, Inc., a Japanese global technology leader in services that empower individuals, communities, businesses and society. Headquartered in San Mateo, California with more than 4,000 employees worldwide, the Rakuten International business portfolio includes market leaders in e-commerce, digital marketing, advertising, communications and entertainment. We create products and services that provide exceptional value by aligning members and the businesses that want to engage them in a shared community.</b></h3>
<h3 class="jobSectionHeader"><b>Rakuten is the most rewarding way to shop, giving millions of members Cash Back when they buy from their favorite brands. As a leading shopping platform, Rakuten partners with thousands of top brands across apparel, beauty and wellness, grocery, travel, on-demand services, subscriptions, and dining, helping members save on everyday purchases. Since 1999, Rakuten members have earned more than $4.6 billion in Cash Back, making it the largest Cash Back platform of its kind. Learn more at Rakuten.com</b></h3>
<h3 class="jobSectionHeader"><b>Job Summary:
</b></h3><h3 class="jobSectionHeader"><b>We're looking for a Lead Product Designer to join the Vertical Squad &mdash; a team focused on product experiences that expand how and where members earn Cash Back, beyond the core online shopping flow. You'll set the design direction for the squad's portfolio of surfaces &mdash; gift card redemption, dining, and in-store shopping &mdash; experiences that bring Rakuten's value proposition into new contexts, integrate with third-party systems, and require translating operational complexity into something that feels simple and rewarding for members. You'll define what good looks like across all of these experiences.</b></h3>
<h3 class="jobSectionHeader"><b>This role is well suited for a designer who goes broad when exploring a new problem space &mdash; drawing from analogous experiences across industries, synthesizing quickly, and bringing a considered point of view back to the work. You pick up new domains fast and can context-switch fluidly between the squad's different surfaces &mdash; gift cards, dining, in-store &mdash; without losing craft or care in any of them.</b></h3>
<h3 class="jobSectionHeader"><b>As a design team, we operate at the intersection of high craft and high impact. We rely on research to de-risk solutions, experimentation to measure what works, and AI to enhance creativity and amplify the impact of our work. We encourage designers to use AI freely in their process and to help shape new ways of working with this emergent technology.</b></h3>
<h3 class="jobSectionHeader"><b>This role reports to the Director of Product Design and works directly with a product manager, researcher, UX writer, and engineers embedded in your squad.</b></h3>
<h3 class="jobSectionHeader"><b>Key Responsibilities:
</b></h3><ul><li><h3 class="jobSectionHeader"><b>Design Ownership: Own end-to-end design for your product areas &mdash; from problem framing through shipped product. You set the design direction, not just execute on it &mdash; and you're a voice in shaping what the squad works on and why.</b></h3>
</li><li><h3 class="jobSectionHeader"><b>Squad Vision: Develop and communicate a design vision for the squad's product areas &mdash; one that gives your cross-functional partners a clear sense of where things are heading and why it matters.</b></h3>
</li><li><h3 class="jobSectionHeader"><b>Problem Definition: Know how to frame and scope work before applying UI. With a portfolio that spans distinct surfaces, the ability to ask the right questions upfront &mdash; and identify what actually needs to be solved &mdash; matters as much as the design itself.</b></h3>
</li><li><h3 class="jobSectionHeader"><b>Systems Thinking: Design with awareness of how the vertical surfaces connect to Rakuten's core shopping experience &mdash; building on established design patterns so the work feels cohesive and expected.</b></h3>
</li><li><h3 class="jobSectionHeader"><b>Research &amp; Validation: Partner with your embedded researcher or drive research yourself to validate direction early, identify friction, and de-risk before development.</b></h3>
</li><li><h3 class="jobSectionHeader"><b>Cross-Functional Collaboration: Work closely with your PM and engineering partners to define what's being built, why, and how. Navigate stakeholder dynamics across teams and communicate design decisions confidently up to senior leadership.</b></h3>
</li><li><h3 class="jobSectionHeader"><b>Design Culture: Contribute to the broader design team's culture &mdash; participate in critiques, share learnings, and help raise the quality of work across squads.</b></h3>
</li><li><h3 class="jobSectionHeader"><b>AI-Assisted Workflows: Leverage AI tools as part of your design process &mdash; for research synthesis, rapid prototyping, ideation, or wherever they help you move faster and think more clearly.</b></h3>
</li></ul><h3 class="jobSectionHeader"><b>Qualifications &amp; Minimum Requirements:
</b></h3><ul><li><h3 class="jobSectionHeader"><b>6+ years of professional design experience with significant experience working with complex systems</b></h3>
</li><li><h3 class="jobSectionHeader"><b>Bachelor&rsquo;s or Master&rsquo;s degree (or equivalent) in design, Human- Computer Interaction (HCI), Industrial Design, Computer Science, or related field</b></h3>
</li><li><h3 class="jobSectionHeader"><b>Portfolio demonstrating end-to-end product design with clear evidence of process, decision-making, and measurable outcomes</b></h3>
</li><li><h3 class="jobSectionHeader"><b>Proficiency with design and prototyping tools, e.g., Figma, Claude Code</b></h3>
</li><li><h3 class="jobSectionHeader"><b>A strong sense of visual and interaction design, with a track record of raising the bar</b></h3>
</li></ul><h3 class="jobSectionHeader"><b>Preferred Qualifications:
</b></h3><ul><li><h3 class="jobSectionHeader"><b>Experience working in e-commerce, marketplaces, or consumer-scale products</b></h3>
</li><li><h3 class="jobSectionHeader"><b>Active use of AI tools as part of a design workflow, ideally including AI coding tools for rapid prototyping</b></h3>
</li><li><h3 class="jobSectionHeader"><b>Track record of influencing design quality and culture beyond your immediate squad &mdash; through critiques, mentorship, or team-level initiatives.</b></h3>
</li></ul><h3 class="jobSectionHeader"><b>#LI-ES1</b></h3><br>
<br>
<p><b>Five Principles for Success
</b><br>
Our worldwide practices describe specific behaviors that make Rakuten unique and united across the world. We expect Rakuten employees to model these 5 Shugi Principles of Success.
<br>
<br>
<b>Always improve, Always Advance </b>- Only be satisfied with complete success - Kaizen
<br>
<b>Passionately Professional </b>- Take an uncompromising approach to your work and be determined to be the best
<br>
<b>Hypothesize - Practice - Validate &ndash; Shikumika </b>- Use the Rakuten Cycle to succeed in unknown territory
<br>
<b>Maximize Customer Satisfaction </b>- The greatest satisfaction for our teams is seeing their customers smile
<br>
<b>Speed!! Speed!! Speed!! </b>- Always be conscious of time - take charge, set clear goals, and engage your team</p><br>
<br>
<p><i>Rakuten provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type. Rakuten considers applicants for employment without regard to race, color, religion, age, sex, national origin, disability status, genetic information, protected veteran status, sexual orientation, gender, gender identity or expression, or any other characteristic protected by federal, state, provincial or local laws.<br>
</i><br>
</p><p><i>As part of our Rakuten interview process, we encourage applicants to use their own words, rather than AI-generated content. Tell us your story in a way that's personal and authentic.<br>
</i></p><br>
<p><i>At the time of posting, Rakuten expects the base compensation for this role to be within the range shown below. Individual compensation will vary based on job-related factors, including the skills, qualifications, and experience of the successful candidate as well as business need and geographic location. The successful applicant for this role will be eligible for discretionary bonus, health, vision, dental insurance, 401k matching, PTO, Volunteer Time Off (VTO), and other employee benefits as the company implements.<br>
</i></p><br>
USD $132,082.50 - $226,820.00 annually</div>

Lead Product Designer, New Verticals

Wayve

<div><div><h2 class="jobSectionHeader"><b>About us</b><b>
</b></h2><p>Founded in 2017, Wayve is the leading developer of Embodied AI technology. Our advanced AI software and foundation models enable vehicles to perceive, understand, and navigate any complex environment, enhancing the usability and safety of automated driving systems.</p>
<p>
Our vision is to create autonomy that propels the world forward. Our intelligent, mapless, and hardware-agnostic AI products are designed for automakers, accelerating the transition from assisted to automated driving.
<br>
<br>
In our fast-paced environment big problems ignite us&mdash;we embrace uncertainty, leaning into complex challenges to unlock groundbreaking solutions. We aim high and stay humble in our pursuit of excellence, constantly learning and evolving as we pave the way for a smarter, safer future.</p>
<p>
At Wayve, your contributions matter. We value diversity, embrace new perspectives, and foster an inclusive work environment; we back each other to deliver impact.
</p><p>Make Wayve the experience that defines your career!
</p></div><p><b>Site Reliability Engineer - Vehicle Software</b></p>
<h1 class="jobSectionHeader"><b>
The role</b></h1>
<p>
As a Site Reliability Engineer at Wayve, you will work across the full reliability stack for our vehicle software: observability, incident management, operator tooling, and the automation that lets engineering and operations teams detect, triage, and resolve issues faster. You will work closely with software engineers, field engineers, and operations, debugging real systems, improving real processes, and having direct impact on how our vehicles perform in production.</p>
<p>
Wayve is scaling its autonomous vehicle programs with partners, and you will help shape the SRE approach for vehicle-centric systems as that happens. This is not a role where reliability sits on top of the real work, it is central to it.</p>
<h1 class="jobSectionHeader"><b>
Key responsibilities</b></h1>
<ul><li>Build and improve tooling, automation, observability, and incident-management processes for vehicle software reliability.</li>
<li>Work closely with field engineers, software teams, and operations to diagnose reliability issues and improve system performance.</li>
<li>Own hands-on debugging across Linux, low-level systems, logs, metrics, traces, and vehicle and production data.</li>
<li>Develop reliability improvements that reduce manual intervention and make issue detection, triage, and recovery faster.</li>
<li>Support vehicle-centric operations, including safety-operator tools and the reliability needs of our customer and partner programs.</li>
</ul><h1 class="jobSectionHeader"><b>About you</b></h1>
<h2 class="jobSectionHeader"><b>Essential skills</b></h2>
<ul><li>You will write production-quality code every day in Python, C++, or Rust. This is a software engineering role as much as a reliability role, and coding is central to the work.</li>
<li>Comfortable debugging at the Linux and systems level, reading logs, tracing failures, and finding root cause in complex environments.</li>
<li>Experience with CI/CD, containerization, networking, distributed systems, databases, and observability and incident-management tooling, including DataDog, Prometheus, Grafana, OpenTelemetry, Splunk, or Humio.</li>
<li>Experience diagnosing complex production or operational systems, not just escalating, but seeing problems through to resolution.</li>
<li>The communication skills to work effectively across engineering, operations, and field teams, and the judgment to know when to bring others in.</li>
<li>Based in Sunnyvale and able to be onsite at least three days a week to work alongside the field teams you will support.</li>
</ul><h2 class="jobSectionHeader"><b>Desirable skills</b></h2>
<ul><li>Experience with autonomous vehicles, robotics, embedded systems, or safety-critical environments. We know this is rare, and it is not a barrier to applying.</li>
<li>Experience with large-scale telemetry or high-volume data pipelines.</li>
<li>Familiarity with vehicle-centric or on-device software systems.</li></ul><br>
<h1 class="jobSectionHeader"><b>
</b></h1><p>This is a full-time role based in our office in Sunnyvale. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. The reasonably estimated salary for this role ranges from $209,700 to $266,800, plus a competitive equity package. Actual compensation is based on the candidate's skills, qualifications, and experience.</p><div><p>
Wayve is committed to creating an inclusive interview experience. If you require any accommodations or adjustments to participate fully in our interview process, please let us know.</p><br>
<p>
We understand that everyone has a unique set of skills and experiences and that not everyone will meet all of the requirements listed above. If you're passionate about self-driving cars and think you have what it takes to make a positive impact on the world, we encourage you to apply.<br>
<br>
At Wayve we're committed to creating a diverse, fair and respectful culture that is inclusive of everyone based on their unique skills and perspectives, and regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, veteran status, pregnancy or related condition (including breastfeeding) or any other basis as protected by applicable law.</p>
<p>
For more information visit Careers at Wayve.</p>
<p>
To learn more about what drives us, visit Values at Wayve</p>
<p>
For US candidates only, please visit E-Verify Notice and Participation and Right to Work</p>
<p></p>
<p>DISCLAIMER: We will not ask about marriage or pregnancy, care responsibilities or disabilities in any of our job adverts or interviews. However, we do look to capture information about care responsibilities, and disabilities among other diversity information as part of an optional DEI Monitoring form to help us identify areas of improvement in our hiring process and ensure that the process is inclusive and non-discriminatory.</p></div></div><p></p>

Site Reliability Engineer, Vehicle Software

Amazon Web Services

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
AWS Global Sales drives adoption of the AWS cloud worldwide, enabling customers of all sizes to innovate and expand in the cloud. Our team empowers every customer to grow by providing tailored service, unmatched technology, and support. We dive deep to understand each customer's unique challenges, then craft innovative solutions that accelerate their success. This customer-first approach is how we built the world's most adopted cloud. Join us and help us grow.<br>
<br>
Do you want to accelerate enterprise transformation through architecting high performant, highly available networking solutions on AWS? As a Senior Networking SA specializing in Enterprise, Core, and Cloud Networking, you'll work on the most challenging cloud networking solutions for our customers.<br>
<br>
You'll connect directly with AWS product teams and experts around the globe to scale best practices and invent the future of cloud network architecture. In this role, you'll leverage your deep technical expertise to guide customers through complex network architectures, share best practices publicly through blog posts and speaking opportunities, and advocate for customers with product teams to shape the future of cloud networking. As AI, high performance computing, and mission critical workloads increase, you'll design the future of performant, reliable connectivity across regions, offices, and devices.<br>
<br>
Key job responsibilities<br>
<ul><li>Design end-to-end networking solutions for customers, focusing on high performance, scalability, and reliability while applying your deep knowledge of enterprise, core, and cloud networking principles.</li><li>Partner with AWS product teams to advocate for customer needs, influence future product roadmaps, and ensure networking services meet evolving enterprise requirements.</li><li>Create technical content including reference architectures, blog posts, and whitepapers that demonstrate networking best practices and are easily adopted by others.</li><li>Lead complex technical projects requiring participation from multiple teams, providing architectural guidance throughout the implementation lifecycle.</li><li>Proactively identify gaps in current networking products and services, translating customer feedback into clear business and technical requirements for product teams.</li></ul><br>
A day in the life<br>
As the subject matter expert in networking, you'll start your day reviewing complex customer architectures and preparing for deep-dive technical discussions. You might spend the morning guiding customers through network design considerations for a multi-region deployment, then collaborate with product teams in the afternoon to address specific customer needs. You'll share best practices through blog posts and speaking opportunities, becoming a trusted voice in cloud networking. Throughout the day, you'll advocate for customers with product teams, helping shape the future of AWS networking capabilities.<br>
<br>
About the team<br>
Diverse Experiences<br>
AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn&rsquo;t followed a traditional path, or includes alternative experiences, don&rsquo;t let it stop you from applying.
<br>
<br>
Why AWS?<br>
Amazon Web Services (AWS) is the world&rsquo;s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating &mdash; that&rsquo;s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.<br>
<br>
Inclusive Team Culture<br>
AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do.<br>
<br>
Mentorship &amp; Career Growth<br>
We&rsquo;re continuously raising our performance bar as we strive to become Earth&rsquo;s Best Employer. That&rsquo;s why you&rsquo;ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
<br>
<br>
Work/Life Balance<br>
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there&rsquo;s nothing we can&rsquo;t achieve.</div><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>8+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data &amp; analytics) experience</li><li>3+ years of design, implementation, or consulting in applications and infrastructures experience</li><li>10+ years of IT development or implementation/consulting in the software or Internet industries experience</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>5+ years of infrastructure architecture, database architecture and networking experience</li><li>Knowledge of AWS services, market segments, customer base and industry verticals</li><li>Knowledge of cloud architecture</li><li>Experience troubleshooting and debugging technical systems, or experience working with customers with a passion for delivering exceptional service and experience with programming/scripting (Batch, VB, PowerShell, Java, C#, Chef, Perl, Ruby and/or PHP)</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
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Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company&rsquo;s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.<br>
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Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.<br>
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Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.<p><br>
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.</p><br>
USA, CA, San Francisco - 176,600.00 - 239,000.00 USD annually</div><p></p>

Senior Networking SA, AWS Security & Networking - North America

Voxquill

<div><div>Voxquill is hiring for a client, a voice AI company in San Francisco.
<br>
<ul><li></li></ul>
They hit $80M in ARR. Currently at over 1$M in revenue per employee.<br>
Real equity, and your decisions will still be load-bearing in two years.</div><p>
Backed by Y Combinator. Named one of a16z's top 50 AI apps</p><h4 class="jobSectionHeader"><b>
Read this part before anything else</b></h4><ul><li><p><b>
They work six days a week.</b>
<br>
Monday through Friday in the office in Redwood City, and Sunday remote. Sunday is mandatory, not optional, and some Sundays are not light.</p></li><li><p>
There are no set hours. Nobody tracks when you arrive or leave. They treat people like adults and care about whether the work is done. But the schedule is the schedule, and we'd rather you close this tab now than find out at the final round.</p></li></ul><p>
If that's a dealbreaker, no hard feelings. If it sounds like the kind of stretch you've been looking for, keep reading.</p><h4 class="jobSectionHeader"><b>
What you'd actually do</b></h4><p><b>
React, React, React</b>. This is a React-heavy role, and they mean it literally! The first two interviews are hands-on React coding.</p><p>
You'd own features end to end. Someone tells you a customer can't debug their agent's transcripts, and it's on you to decide what gets built, architect it, ship it, and see whether it worked. You'd make frontend architecture calls that stick, in a codebase young enough that they matter.</p><p>
You'd report directly to the <b>CTO</b>, who is also a<b> co-founder</b>. No layer in between, and none planned.</p><h4 class="jobSectionHeader"><b>
Who they're looking for</b></h4><p>
Three to five years of professional frontend experience is the sweet spot.
<br>
<i>Less is fine if your track record is exceptional.</i></p><p>
A CS degree, or you've done real work at a company.<br>
If you have none of the above, you'll have to prove strong technical skills and a solid foundation in the application and first interview.</p><p>
Expert-level React. You should be able to explain what the virtual DOM is doing, when you'd reach for useMemo versus useRef, and why you structured state the way you did.</p><p><b>
And you need to be able to write React without AI assistance.</b> Use whatever you want in your day job, but the interviews are live, unassisted. For the technical interview.</p><p>
Things that are not disqualifying, whatever you may have been told elsewhere:<br>
job hopping, career gaps, a layoff, a winding path into engineering. They're interested in the story. Bring it.</p><h4 class="jobSectionHeader"><b>
What's on offer</b></h4><p>
$200K&ndash;$300K base depending on experience, plus competitive founding equity.</p><p>
100% covered medical, dental, and vision. Plus other perks</p><p><b>
Relocation support is on the table.</b> If you're the right engineer and you're not in the Bay Area yet, that's workable.</p><h4 class="jobSectionHeader"><b>
How hiring works</b></h4><p>
An intro call with us at <b>Voxquil</b>l first, then an intro call with their hiring manager, two React-heavy technical interviews, and a 3.5-hour onsite covering practical coding, system design, and a tools and automation round.</p></div>

Senior Frontend Engineer - React

<div><h2 class="jobSectionHeader"><b>About Build AI</b></h2><p>
Build AI is the data hyperscaler for Physical AI. We co-design hardware, collection, infrastructure, and research to scale the physical labor dataset orders of magnitude faster than anyone in the world.</p><h2 class="jobSectionHeader"><b>
Job Summary</b></h2><p>
This is not &ldquo;make the data prettier.&rdquo; You own whether the dataset is actually solving physical labor. The objective is to maximize the bandwidth of net-new learnable information into the dataset: what we should collect, how we score what we have, and whether the next hour of collection adds information or just volume.</p><p>
You define the ideal dataset, the objective function on the current dataset, the taxonomy, and the value function for incremental data. Collection strategy comes from those, including the bet that scaling simple, high-bandwidth capture (real workers, real jobs, a camera) beats slower high-fidelity setups.</p><p>
A quant background is the default profile.</p><h2 class="jobSectionHeader"><b>
Key Responsibilities</b></h2><ul><li><p>
Define the ideal dataset for solving physical labor (coverage, diversity, what &ldquo;done&rdquo; looks like) and the objective function on what we have now</p></li><li><p>
Design the taxonomy collectors actually use, plus golden sets, acceptance criteria, and audit so quality is measurable</p></li><li><p>
Create the value function for incremental data: given what we have, what is the next example worth?</p></li><li><p>
Turn that into collection strategy (where, which work, how much, when to stop) and into standards ops and vendors execute against</p></li><li><p>
Resist false local optima: extra sensors, extra fidelity, extra process that cuts throughput and net information</p></li><li><p>
Work with marketplace incentives, software, and research so the objective is in the loop &mdash; scorecards on coverage, quality, and information, not only volume</p></li><li><p>
Partner with Evals Lead so dataset decisions and model-capability numbers inform each other</p></li></ul><h2 class="jobSectionHeader"><b>
You may be a good fit if you have (Must-have qualifications)</b></h2><ul><li><p>
Quant background (quant research, statistics, decision science, or similar). You think in objective functions and information, not only in label-quality queues</p></li><li><p>
You can argue about scaling vs fidelity with numbers</p></li><li><p>
Experience with dataset design, collection strategy, or large-scale data programs</p></li><li><p>
Fine with in-the-wild collection and a company still scaling countries</p></li></ul><h2 class="jobSectionHeader"><b>
Strong candidates may also have experience with (Nice-to-have qualifications)</b></h2><ul><li><p>
Experience at a lab, quant fund, or large-scale data program</p></li><li><p>
You have designed a taxonomy, golden set, or coverage model used in production</p></li><li><p>
Familiarity with in-the-wild collection, video, or pose data</p></li><li><p>
Experience setting quality standards and audit processes that collectors or vendors actually hit</p></li></ul><h2 class="jobSectionHeader"><b>
Benefits</b></h2><ul><li><p>
Competitive pay</p></li><li><p>
Medical, dental, and vision packages with generous premium coverage</p></li><li><p>
$500 per month credit for waiving medical benefits</p></li><li><p>
Housing subsidy of $2k per month for those living within walking distance of the office</p></li><li><p>
Relocation support for those moving to San Francisco (Financial District) or Shenzhen (Nanshan)</p></li><li><p>
Various wellness benefits covering fitness, mental health, and more</p></li><li><p>
Daily lunch and dinner in our office</p></li><li><p>
Unlimited compute budget subject to ROI justification</p></li><li><p>
Unlimited Codex and Claude credits</p></li><li><p>
Travel</p></li></ul><h2 class="jobSectionHeader"><b>
How we're different</b></h2><p>
Build believes in the Bitter Lesson. By taking a general approach of learning from humans, our addressable market is all physical labor.</p><p>
We are a fully in-person team in San Francisco (Financial District) and Shenzhen (Nanshan), and greatly value engineering skills. We do not have boundaries between engineering and research, and we expect all of our technical staff to contribute to both and work across disciplines as needed.</p><p>
Build AI is an equal opportunity employer. We review every application. If you do not meet every bullet, still apply. Questions: research@build.ai</p><p>
Compensation Range: $220K - $350K</p></div>

Head of Dataset & Quality

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