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analyst, solutions management Jobs in San Francisco

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business analyst, operations & strategy

business systems analyst / administrator Jobs in San Francisco

business systems analyst / administrator

operations analyst

ValueBase Consulting

<div><p><b>Role: Lead Usability Analyst (UX Researcher)</b><br>
<b>Location: Occasional travel to San Francisco, CA</b><br>
<b>Type: 12 months+</b><br>
<b>Hourly Rate: $55/HR on W2.</b><br>
<b>Candidates Should be located in California. This is W2 Contract role</b></p>
<p>As a Lead Usability Analyst (UX Researcher), you&rsquo;ll lead design research across web, apps, in-store digital experiences, and emerging AI-enabled touchpoints, advocating for user needs throughout the product development cycle. As part of the User Experience team, you&rsquo;ll partner cross-functionally to shape strategy, improve client experiences, and evolve research practices with AI tooling&mdash;while maintaining rigor, participant trust, and client privacy.</p>
<p>Responsibilities:<br>
Core research:<br>
Lead high-impact studies end-to-end, using sound research judgment to choose the right approach for the question at hand.<br>
Conduct foundational research to inform product and design strategy across complex, high-priority initiatives.<br>
Analyze data from qualitative studies including usability tests, interviews, participatory design, and heuristic evaluations; synthesize findings with quantitative and behavioral data.<br>
Translate research findings into actionable insights and specific design recommendations.<br>
Connect research signals across projects to identify patterns, synergies, and broader opportunities.<br>
Communicate insights through clear storytelling that makes complex research actionable for partners from developers to executives.</p>
<p>AI-enabled ways of working:<br>
Use approved AI tools to accelerate study setup, analysis, synthesis, desk research, survey drafting, and reporting while maintaining rigor, researcher judgment, and accountability for conclusions.<br>
Design research for AI-driven experiences, including agentic, conversational, and personalized AI features.<br>
Evaluate AI experiences for usability, trust, transparency, and the difference between what users say they want and how they actually behave.<br>
Contribute to responsible-AI practice in research &mdash; sound handling of participant data and PII, awareness of model limitations and bias, appropriate disclosure, and human validation of AI-generated outputs before they inform decisions.<br>
Help maintain a well-organized, easily accessible, and increasingly AI-queryable knowledge base of past research (e.g., searchable insight repositories), so prior learnings are discoverable and reusable across teams and tools.<br>
Connect research insights to shared product, design, and engineering workflows so evidence reaches partners where they work.</p>
<p>Leadership &amp; adaptability:<br>
Act as a thought partner in discovery, strategy, and problem framing.<br>
Navigate ambiguity across project priorities, concurrent workstreams, and problem spaces, bringing clarity to changing scope, user needs, and decisions.<br>
Mentor researchers and designers in a user-centered process; help raise the bar on methodology, AI-enabled practice, and insight quality across the team.<br>
Evaluate emerging research methods, AI tools, and ways of working; help the team adopt what adds value and phase out what does not.</p>
<p><b>Qualifications</b><br>
Portfolio of digital product research, with experience across mobile and/or omnichannel experiences.<br>
5&ndash;8+ years of experience in UX research, product research, or a related research role.<br>
Practical experience using research tools, AI-enabled workflows, or emerging methods to improve research quality, speed, or impact.<br>
Experience leading complex research initiatives that influence product, design, and cross-functional strategy.<br>
Excels in a culture grounded in Sephora values: Passion for Client Service, Innovation, Expertise, Balance, Respect for All, Teamwork, and Initiative.</p></div>

Lead Usability Analyst (UX Researcher) in San Francisco, CA

WeCare Outsourcing

<p>WeCare Outsourcing is looking for a highly motivated and detail-oriented <strong>Data Analyst</strong> to join our remote team. The successful candidate will analyze business data, prepare reports, identify trends, and provide actionable insights to support informed decision-making.</p><h3>Responsibilities</h3><ul><li>Collect, clean, organize, and analyze data.</li><li>Create reports, dashboards, and data visualizations.</li><li>Monitor KPIs and identify trends or performance gaps.</li><li>Prepare regular and ad-hoc analytical reports.</li><li>Maintain accurate databases and spreadsheets.</li><li>Collaborate with internal teams to support business objectives.</li><li>Ensure data accuracy, consistency, and confidentiality.</li><li>Present findings and recommendations to management.</li></ul><h3>Requirements</h3><ul><li>Bachelor's degree or equivalent experience in Data Analytics, Statistics, Business, Computer Science, or a related field.</li><li>Previous experience in data analysis is preferred.</li><li>Strong Microsoft Excel skills.</li><li>Knowledge of SQL, Power BI, Tableau, or similar tools is an advantage.</li><li>Excellent analytical and problem-solving abilities.</li><li>Strong attention to detail.</li><li>Good written and verbal communication skills.</li><li>Ability to work independently in a remote environment.</li></ul><h3>Compensation &amp; Benefits</h3><ul><li><strong>Competitive hourly pay</strong></li><li>100% Remote / Work From Home</li><li>Flexible working environment</li><li>Career growth opportunities</li><li>Training and professional development</li><li>Supportive remote team</li></ul><p><strong>Apply Today:</strong> Join WeCare Outsourcing and help turn data into meaningful business insights.</p>

Data Analyst

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

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>
<p>
We are seeking an experienced Revenue Systems Engineering Director to join our Finance Systems team at Anthropic. You will own the technical architecture, implementation, and optimization of our Order-to-Cash (OTC) systems as we scale globally. You'll serve as the technical lead for our revenue systems within the ERP ecosystem, driving automation of revenue recognition processes and integrating our billing, sales, and financial systems.</p>
<h2 class="jobSectionHeader"><b>
Responsibilities</b></h2>
<h3 class="jobSectionHeader"><b>Revenue Platform Architecture &amp; Development</b></h3>
<ul>
<li><p>Own the revenue systems architecture and development supporting multi-entity operations and global subsidiaries</p>
</li>
<li><p>Design and implement scalable data pipelines using DBT/SQL frameworks to transform high-volume financial transactions with low-latency response times for real-time integrations</p>
</li>
<li><p>Build and maintain automated revenue recognition workflows ensuring ASC 606 compliance for complex subscription and consumption-based billing models</p>
</li>
</ul><h3 class="jobSectionHeader"><b>Data Engineering &amp; Pipeline Orchestration</b></h3>
<ul>
<li><p>Modify, enhance, and optimize data transformation models using DBT/SQL to support standardized data flows across accounting, billing engineering, and product teams</p>
</li>
<li><p>Establish comprehensive testing frameworks for data transformations, formally documenting successful behavior to support System Integration Testing (SIT) and audit requirements</p>
</li>
</ul><h3 class="jobSectionHeader"><b>Systems Integration &amp; Technical Leadership</b></h3>
<ul>
<li><p>Collaborate with Revenue Accounting, Data Infrastructure, and BizTech teams to design enterprise-grade integration patterns supporting significant transaction volume growth</p>
</li>
<li><p>Implement automated reconciliation engines achieving rapid variance detection and substantially reducing manual revenue team effort</p>
</li>
<li><p>Provide technical expertise during month-end close processes, ensuring system reliability and performance during peak transaction volumes</p>
</li>
</ul><h3 class="jobSectionHeader"><b>Innovation &amp; Continuous Improvement</b></h3>
<ul>
<li><p>Pioneer AI integration for revenue operations, building intelligent agents for discrepancy investigation, automated testing, and self-service analytics</p>
</li>
<li><p>Evaluate and implement emerging technologies to modernize integration architecture</p>
</li>
<li><p>Establish best practices with CI/CD pipelines, automated testing, and deployment workflows maintaining high reliability standards</p>
</li>
<li><p>Mentor team members on technical best practices, code reviews, and documentation standards</p>
</li>
</ul><h2 class="jobSectionHeader"><b>Minimum qualifications</b></h2>
<ul>
<li><p>Possess strong technical proficiency in Python, SQL, DBT, and modern data engineering tools (workflow orchestration, infrastructure as code, cloud data warehouses)</p>
</li>
<li><p>Have extensive experience with enterprise billing platforms and revenue recognition requirements (ASC 606)</p>
</li>
<li><p>Demonstrate expert-level understanding of ERP systems with hands-on configuration and integration experience, including proficiency with API development (REST, SOAP/XML, webhooks) and understanding of ERP extension patterns and custom object development</p>
</li>
<li><p>Experience with additional programming languages (Java, JavaScript/TypeScript, Go) for building integrations, APIs, and custom ERP extensions</p>
</li>
<li><p>Track record of leading technical workstreams during ERP transformations or major system migrations</p>
</li>
<li><p>Are skilled at designing scalable integration architectures, including both real-time APIs and batch processing patterns for high-volume financial transactions</p>
</li>
<li><p>Have proven ability to translate complex business requirements into robust technical solutions while maintaining alignment with accounting principles and audit standards</p>
</li>
<li><p>Understanding of consumption-based pricing models, usage metering platforms, and marketplace billing</p>
</li>
<li><p>Thrive in a fast-paced, high-growth environment where you'll balance innovation with operational stability</p>
</li>
<li><p>Have excellent communication skills to bridge technical and business stakeholders, including Finance, Accounting, Revenue Operations, and Engineering teams</p>
</li>
</ul><h2 class="jobSectionHeader"><b>Preferred qualifications</b></h2>
<ul><li>Have 12+ years of experience in revenue systems engineering, with deep hands-on expertise in Order-to-Cash (OTC) implementations</li>
</ul>
<ul><li><p>Experience implementing revenue platforms at scale for SaaS or subscription-based businesses processing high transaction volumes</p>
</li>
<li><p>Background in financial systems implementations supporting multi-entity, multi-currency operations with complex revenue recognition scenarios</p>
</li>
<li><p>Hands-on experience with CRM/CPQ platforms and integration patterns connecting sales systems to billing and ERP systems</p>
</li>
<li><p>Specific experience with: Salesforce CPQ/Revenue Cloud, Zuora, Stripe Billing,, Workday Financials</p>
</li>
<li><p>Familiarity with Workday Prism and Oracle Accounting Hub solutions for managing third-party transaction data</p>
</li>
<li><p>Technical expertise with iPaaS platforms (MuleSoft, Workato, Boomi) and advanced API patterns (GraphQL, event-driven architectures)</p>
</li>
<li><p>Experience leveraging agentic development workflows</p>
</li>
<li><p>Experience with AI/LLM integration for financial operations, including document processing, data extraction, and intelligent automation</p>
</li>
<li><p>Familiarity with Agile/Scrum methodologies and experience working in matrix organizations coordinating across multiple teams</p>
</li>
<li><p>Knowledge of SOX compliance requirements, financial controls, and audit readiness for revenue systems</p>
</li>
<li><p>Bachelor's or Master's degree in Computer Science, Information Systems, Engineering, or related technical field</p>
</li>
<li><p>Hands-on experience with modern data stack tools: Airflow, Terraform, BigQuery/Snowflake/Databricks</p>
</li>
</ul><ul><li><p>Build and maintain Airflow DAGs orchestrating complex financial workflows, including Python scripts for DBT execution, authenticated API calls, and data quality validation</p>
</li>
<li><p>Familiarity with financial reporting and business intelligence tools (Hex, Looker, Tableau, Power BI) for revenue analytics and executive dashboards</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>
$270,000 - $315,000 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>

Director, Finance Systems - Revenue Systems Engineering

PRAVAH

<div><p><b>About Pravāh</b></p><p>
Pravah is building the world's first foundation model of the electric grid. The world's most important physical industry is under unprecedented stress. We are using ML to build the 22nd-century grid.
<br>
<br>
We are backed by Khosla Ventures, Pear VC, and Conviction.<br>
<br>
<b>The Role</b></p><p>
We do not have a predefined job description for this posting, and that is intentional.</p><p>
If you have come across what we are building and thought &quot;I know exactly how I could contribute, but I do not see a role for it,&quot; this is for you. We are open to exceptional people across machine learning, software engineering, power systems, weather, business development, operations, and domains we have not even thought of yet.</p><p>
We are a small team solving genuinely hard problems at the frontier of AI and physical infrastructure. The right person for this role will come in with a point of view: a clear sense of what they are great at, where they see a gap at Pravāh, and how they would fill it. We will figure out the rest together.</p><p><b><br>
What You Might Work On</b></p><p>
This depends entirely on you and what you bring. Past examples of roles candidates have proposed, or that we could imagine:</p><ul><li><p>
A machine learning researcher who wants to define a new modeling direction in GNNs, RL, or computer vision</p></li><li><p>
A power systems engineer who wants to bridge grid physics and our AI stack</p></li><li><p>
A forward deployed engineer who understands utility operations and wants to own technical deployments end-to-end</p></li><li><p>
A founding engineer who wants to own our product deployment</p></li><li><p>
A weather scientist who sees an opportunity to push the frontier of AI-weather prediction for grid applications</p></li><li><p>
A GTM or BD specialist who knows the utility landscape and wants to build our commercial motion<br>
</p></li></ul><p><br>
<b>What we always look for</b></p><ul><li><p>
High agency and a bias for action. You build, fix, and ship. You do not wait for perfect conditions or a detailed playbook.</p></li><li><p>
Full ownership from Day 1. You thrive in ambiguity, reason from first principles, and take problems end-to-end.</p></li><li><p>
High standards. We are building the core decision engine for the modern grid, not optimising for a local maximum. We want people who think the same way.</p></li><li><p>
Easy to work with. We hugely value people who are relaxed and friendly while also being intense and absolute hustlers. Our lives are crazy and only getting crazier, in the best way possible.</p></li><li><p>
Strategic thinking. How do we accomplish 10x what we are doing today? We want people who hold the long-term roadmap and the short-term execution in their heads at the same time.</p></li></ul><p></p><p><b>
What You Will Gain</b></p><ul><li><p>
The chance to work on hard, open-ended problems at the intersection of AI and physical infrastructure.</p></li><li><p>
Ability to shape technical direction at a company that is early enough for your ideas to genuinely change the trajectory.</p></li><li><p>
Close collaboration with a deeply technical and motivated founding team.</p></li></ul><p>
Compensation Range: $150K - $250K</p></div>

Pitch us a Role

Beyond Trash LLC

<h3>About the role</h3><p>We are seeking a detail-oriented Data Entry Clerk to join our team in San Francisco. This full-time position is ideal for individuals looking to develop their skills in data management and contribute to the efficiency of our operations. The successful candidate will play a crucial role in maintaining accurate records and supporting various departments within the organization.</p><h3>Key responsibilities</h3><ul><li>Accurately input, update, and maintain data in our databases and systems, ensuring the highest level of data integrity and confidentiality.</li><li>Review and verify data for discrepancies, making necessary corrections and adjustments as needed to maintain accuracy.</li><li>Collaborate with team members to gather necessary information and facilitate the seamless flow of data across departments.</li><li>Generate and prepare reports based on data entries, assisting management in decision-making processes and operational improvements.</li><li>Assist in the development and implementation of data entry procedures to enhance workflow efficiency and reduce errors.</li><li>Provide support for data-related inquiries and troubleshoot issues as they arise, ensuring timely resolution and adherence to data standards.</li></ul><h3>Requirements</h3><ul><li>High school diploma or equivalent; additional education in a related field is a plus.</li><li>Proficiency in data entry and experience with database management software; familiarity with Microsoft Office Suite is essential.</li><li>Strong attention to detail and accuracy, with a commitment to maintaining high standards of data integrity.</li><li>Excellent organizational skills and the ability to manage multiple tasks and priorities in a fast-paced environment.</li><li>Good communication skills, both written and verbal, to effectively collaborate with team members and stakeholders.</li><li>Ability to work independently as well as part of a team, demonstrating professionalism and motivation.</li></ul><h3>Nice to have</h3><ul><li>Experience with specific data entry software or CRM systems can provide an advantage in this role.</li><li>Familiarity with data analysis tools or techniques may enhance your contributions to the team.</li><li>Previous experience in an administrative or clerical position could be beneficial for understanding office workflows.</li><li>A continuous improvement mindset, with a proactive attitude towards optimizing data processes and tools.</li><li>Fluency in multiple languages can be an asset in diverse team environments or when handling international data.</li></ul><h3>Why join us</h3><p>Joining our team means becoming part of a dynamic organization that values accuracy, efficiency, and collaboration. You will have the opportunity to grow your data management skills in a supportive environment while contributing to important projects that drive our success. Our company culture promotes professional development and teamwork, allowing you to build lasting relationships and expand your career potential. Experience the rewarding challenges of a fast-paced workplace while making a tangible impact on our operations.</p>

Data Entry Clerk

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 are hiring a Product Lead to own the product that applies deep learning to physical labor businesses and then scales it country by country. This is not a VP of Product seat. You decide what we ship, who it is for, and how it gets into the hands of operators doing the real job &mdash; collection hardware, the customer product, and the field workflows in between.</p><h2 class="jobSectionHeader"><b>
Key Responsibilities</b></h2><ul><li><p>
Define and ship the product that brings models trained on in-the-wild labor data into real workplaces</p></li><li><p>
Sit at the intersection of research, software, Shenzhen hardware, and field ops so collection, models, and the customer product are one system, not three roadmaps</p></li><li><p>
Own 0 1 site and country expansion: standup checklists, operator UX, device + software kits, and the path from first factory to repeatable rollout</p></li><li><p>
Talk to operators and customers, then turn that into a roadmap you actually ship &mdash; not a deck</p></li><li><p>
Set quality, latency, and operational bars so the product works on a job site, not only in a demo</p></li><li><p>
Work with Data Compliance and marketplace incentives so consent, pay, and collection live in the product, not as afterthoughts</p></li></ul><h2 class="jobSectionHeader"><b>
You may be a good fit if you have (Must-have qualifications)</b></h2><ul><li><p>
You have owned a product 0 1, ideally in a messy real-world or operations-heavy domain</p></li><li><p>
Comfortable with ML / deep learning as a product surface, not only as a research paper</p></li><li><p>
You can work with engineers and field/ops teams without a large product org under you</p></li><li><p>
Bias toward shipping and scaling, including internationally</p></li><li><p>
You want to solve physical labor, not build another dashboard company</p></li></ul><h2 class="jobSectionHeader"><b>
Strong candidates may also have experience with (Nice-to-have qualifications)</b></h2><ul><li><p>
Experience standing up operations or deployments for a physical product at an early-stage company</p></li><li><p>
Familiarity with data collection or evaluation workflows for ML</p></li><li><p>
Experience taking a product into new countries without a large product org</p></li><li><p>
You have hired or managed engineers as a player-coach</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: $200K - $320K</p></div>

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