aeo & technical search engine optimization manager

ai training - machine learning specialist (pst)

backend software engineer, chatgpt engineering

aeo & technical search engine optimization manager Jobs in San Francisco

ai engineer

ai training - machine learning specialist (pst) Jobs in San Francisco

ai training - research scientist (pst) Jobs in San Francisco

ai training - research scientist (pst)

backend software engineer, chatgpt engineering Jobs in San Francisco

ai security engineer

Google

<div>Applicants in San Francisco: Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act.<h3 class="jobSectionHeader">
Minimum qualifications:</h3><ul>
<li>Bachelor's degree or equivalent practical experience. 
</li>
<li>2 years of experience with security assessments or security design reviews or threat modeling. 
</li>
<li>2 years of experience with security engineering, computer and network security and security protocols. 
</li>
<li>2 years of coding experience in one or more general purpose languages.</li></ul> 
<h3 class="jobSectionHeader">
Preferred qualifications:</h3><ul>
<li>Expertise in the AI security space, including research, exploits, and mitigations</li>
<li>Proficiency in programming for security research tasks such as scripting, tool development, and data analysis</li>
<li>Understanding of threat modeling, risk assessments or security assessments of products.</li>
<li>Ability to read, understand, and analyze code as well as write small tools and scripts</li>
</ul><div><h2 class="jobSectionHeader">About the job</h2>
Our Security team works to create and maintain the safest operating environment for Google's users and developers. Security Engineers work with network equipment and actively monitor our systems for attacks and intrusions. In this role, you will also work with software engineers to proactively identify and fix security flaws and vulnerabilities.

As an AI Information Security Engineer, you will help to ensure that our AI products and systems are designed and implemented to the security standards. You will perform technical security assessments, code reviews and vulnerability testing to highlight risk, helping Google teams and partners to improve security, and work on a wide variety of software designs and technology stacks. You will also work closely with other Google Engineers to design and build proactive methods to enhance our security posture. In addition, you will have the option to specialize or perform research in a number of varying fields.<div> 
The US base salary range for this full-time position is $147,000-$211,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.</div><div></div><div> 
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.</div></div><div><h2 class="jobSectionHeader">
Responsibilities</h2><ul>
<li><div><div><div>Analyze systems to identify vulnerabilities and opportunities for hardening, and report findings to stakeholders for mitigation.</div></div></div></li>
<li>Promote quality security practices across the organization, influencing software engineers, immediate colleagues, and beyond Google.</li>
<li><div><div><div>Perform rapid threat modeling of complex systems to quickly determine areas that warrant further investigation and security review.</div></div></div></li>
<li>Conduct research to identify and mitigate entire classes of vulnerabilities. Leverage AI tools and agents in your day-to-day work to scale your own capabilities.</li>
</ul></div>Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.</div>

AI Security Engineer

Prolific

<div>
 
 AI Trainer &ndash; Machine Learning Specialists
 
 
 
 
 About Prolific
 
 
 
 Prolific is not just another player in the AI space &ndash; we are building the biggest pool of quality human data in the world.
 
 
 Over 35,000 AI developers, researchers, and organizations use Prolific to gather data from paid study participants with a wide variety of experiences, knowledge, and skills.
 
 
 
 The role
 
 
 
 We&rsquo;re looking for
 
 AI Trainer &ndash; Machine Learning Specialists
 
 to help train and evaluate cutting-edge AI models using real ML expertise. If you have the necessary experience, we&rsquo;ll send you a quick
 
 10- to 15-minute test
 
 to assess your skills and suitability for AI tasks. If successful, you&rsquo;ll be invited to join Prolific as a participant, where you&rsquo;ll get paid to train and evaluate powerful AI models.
 
 
 Researchers looking for your skills tend to pay up to
 
 $150/hr per AI task completed
 
 . You must be prepared to complete paid tasks that require
 
 one hour of uninterrupted work
 
 , though many are shorter.
 
 
 What you&rsquo;ll bring
 
 
 <ul>
 <li>
 AI Training task skills and verifiable professional experience as a Machine Learning Specialist (e.g., ML engineer, data scientist, applied scientist, research engineer)
 </li>
 <li>
 A willingness to take our skills verification test to assess your suitability for our participant pool
 </li>
 <li>
 Strong attention to detail and the ability to concentrate on complex tasks for up to one hour at a time
 </li>
 <li>
 A reliable and fast internet connection and access to a computer
 </li>
 <li>
 A willingness to self-declare your earnings, as our participants are self-employed
 </li>
 <li>
 A Paypal account to receive payment from our clients
 
 
 </li>
 </ul>
 
 What you&rsquo;ll be doing in the role
 
 
 
 <ul>
 <li>
 Completing AI training tasks such as analyzing, editing, and writing annotations (including technical reasoning and structured evaluation)
 </li>
 <li>
 Judging the performance of AI in performing ML-relevant tasks (e.g., model/experiment critique, data leakage detection, metrics interpretation, debugging approach, methodology review)
 </li>
 <li>
 Improving cutting-edge AI models by providing expert feedback on correctness, robustness, clarity, and technical depth
 
 
 </li>
 </ul>
 
 Key Technologies
 
 
 
 <ul>
 <li>
 General AI Training
 </li>
 <li>
 Model Evaluation and Evals
 </li>
 <li>
 Trust and Safety
 </li>
 <li>
 Red Teaming
 </li>
 <li>
 Quality Analytics
 </li>
 <li>
 Data/ML Concepts (e.g., supervised learning, deep learning, NLP, CV, statistics, experimentation)
 
 
 </li>
 </ul>
 
 Why Prolific is a great platform to join as a Participant
 
 
 
 Joining our platform as a Prolific participant will give you the chance to influence the AI models of the future using professional machine learning expertise. Once you pass our assessment, you can join Prolific in just 15 minutes, and start enjoying competitive pay rates, flexible hours, and the ability to work from home.
 
 
 We've built a unique platform that connects researchers and companies with a global pool of participants, enabling the collection of high-quality, ethically sourced human behavioural data and feedback. This data is the cornerstone of developing more accurate, nuanced, and aligned AI systems.
 
 
 We believe that the next leap in AI capabilities won't come solely from scaling existing models, but from integrating diverse human perspectives and behaviours into AI development. By providing this crucial human data infrastructure, Prolific is positioning itself at the forefront of the next wave of AI innovation &ndash; one that reflects the breath and the best of humanity.
 
 
 
 Links to more information on Prolific
 
 
 
 Website
 
 
 Youtube
 
 
 Privacy Statement
 
 
 By submitting your application, you agree that Prolific may collect your personal data for recruiting and global organisation planning. Prolific's Candidate Privacy Notice explains what personal information Prolific may process, where Prolific may process your personal information, its purposes for processing your personal information, and the rights you can exercise over Prolific use of your personal personal information.
</div>

AI Training - Machine Learning Specialist (PST)

Data Engineer, Analytics (Technical Leadership)

HappyRobot

<div>
 
 About HappyRobot
 
 
 
 HappyRobot is the infrastructure for enterprises to build and orchestrate AI workforces. Our AI workers don't just communicate - they make decisions, take action, and run operations autonomously across voice, email, and enterprise systems. Born in Y Combinator (S23) and backed by a16z and Base10 with over $60M raised, we power critical operations for global enterprises worldwide.
 
 
 Our platform is battle-tested in the most demanding environments - where AI has real consequences. We started in logistics, built our own voice stack, models, and orchestration layer from the ground up, and are now bringing that infrastructure to every enterprise that runs the real economy. Learn more about our vision in our manifesto.
 
 
 
 About The Role
 
 
 
 <ul>
 <li>
 Build foundational data products, dashboards and tools to enable self-serve analytics to scale across the company.
 </li>
 <li>
 Develop insightful and reliable dashboards to track performance of core metrics that will deliver insights to the whole company.
 </li>
 <li>
 Build and maintain robust data pipelines and models to ensure data quality.
 </li>
 <li>
 Partner with Product, Engineering, and Design teams to inform decisions.
 </li>
 <li>
 Translate complex data into clear, actionable insights for product teams.
 </li>
 <li>
 Love working with data. Love making product better. Love finding the story behind the numbers.
 
 
 </li>
 </ul>
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Define, build, and maintain product metrics, dashboards, and pipelines.
 </li>
 <li>
 Write SQL and Python code to extract, transform, and analyze data.
 </li>
 <li>
 Design and run experiments (A/B tests) to support product development.
 </li>
 <li>
 Proactively explore data to identify product opportunities and insights.
 </li>
 <li>
 Collaborate with cross-functional teams to ensure data-driven decisions.
 </li>
 <li>
 Ensure data quality, reliability, and documentation across analytics efforts.
 
 
 </li>
 </ul>
 
 Must Have
 
 
 
 <ul>
 <li>
 3+ years of experience as an Analytics Data Engineer or similar Data Science &amp; Analytics roles.
 </li>
 <li>
 Strong SQL and data engineering skills to transform data into accurate, clean data models (e.g., dbt, Airflow, data warehouses).
 </li>
 <li>
 Proficiency in Python for data analysis and modeling.
 </li>
 <li>
 Excellent communication skills: able to explain complex data insights clearly.
 </li>
 <li>
 Curious, collaborative, and driven to make an impact in a fast-paced environment.
 
 
 </li>
 </ul>
 
 Nice to Have
 
 
 
 <ul>
 <li>
 Experience in B2B SaaS or AI/ML products.
 </li>
 <li>
 Familiarity with product analytics tools (e.g., Mixpanel, Amplitude).
 </li>
 <li>
 Exposure to machine learning concepts or AI-powered systems.
 
 
 </li>
 </ul>
 
 Why join us?
 
 
 
 <ul>
 <li>
 Opportunity to work at a high-growth AI startup, backed by top investors.
 </li>
 <li>
 Rapidly growing and backed by top investors including a16z, Y Combinator, and Base10.
 </li>
 <li>
 Ownership &amp; Autonomy - Take full ownership of projects and ship fast.
 </li>
 <li>
 Top-Tier Compensation - Competitive salary + equity in a high-growth startup.
 </li>
 <li>
 Comprehensive Benefits - Healthcare, dental, vision coverage.
 </li>
 <li>
 Work With the Best - Join a world-class team of engineers and builders.
 
 
 </li>
 </ul>
 
 Our Operating Principles
 
 
 
 
 
 Extreme Ownership
 
 
 
 
 We take full responsibility for our work, outcomes, and team success. No excuses, no blame-shifting &mdash; if something needs fixing, we own it and make it better. This means stepping up, even when it&rsquo;s not &ldquo;your job.&rdquo; If a ball is dropped, we pick it up. If a customer is unhappy, we fix it. If a process is broken, we redesign it. We don&rsquo;t wait for someone else to solve it &mdash; we lead with accountability and expect the same from those around us.
 
 
 
 
 Craftsmanship
 
 
 
 
 Putting care and intention into every task, striving for excellence, and taking deep ownership of the quality and outcome of your work. Craftsmanship means never settling for &ldquo;just fine.&rdquo; We sweat the details because details compound. Whether it&rsquo;s a product feature, an internal doc, or a sales call &mdash; we treat it as a reflection of our standards. We aim to deliver jaw-dropping customer experiences by being curious, meticulous, and proud of what we build &mdash; even when nobody&rsquo;s watching.
 
 
 
 
 We are &ldquo;majos&rdquo;
 
 
 
 
 Be friendly &amp; have fun with your coworkers. Always be genuine &amp; honest, but kind. &ldquo;Majo&rdquo; is our way of saying: be a good human. Be approachable, helpful, and warm. We&rsquo;re building something ambitious, and it&rsquo;s easier (and more fun) when we enjoy the ride together. We give feedback with kindness, challenge each other with respect, and celebrate wins together without ego.
 
 
 
 
 Urgency with Focus
 
 
 
 
 Create the highest impact in the shortest amount of time. Move fast, but in the right direction. We operate with speed because time is our most limited resource. But speed without focus is chaos. We prioritize ruthlessly, act decisively, and stay aligned. We aim for high leverage: the biggest results from the simplest, smartest actions. We&rsquo;re running a high-speed marathon &mdash; not a sprint with no strategy.
 
 
 
 
 Talent Density and Meritocracy
 
 
 
 
 Hire only people who can raise the average; &lsquo;exceptional performance is the passing grade.&rsquo; Ability trumps seniority. We believe the best teams are built on talent density &mdash; every hire should raise the bar. We reward contribution, not titles or tenure. We give ownership to those who earn it, and we all hold each other to a high standard. A-players want to work with other A-players &mdash; that&rsquo;s how we win.
 
 
 
 
 First-Principles Thinking
 
 
 
 
 Strip a problem to physics-level facts, ignore industry dogma, rebuild the solution from scratch. We don&rsquo;t copy-paste solutions. We go back to basics, ask why things are the way they are, and rebuild from the ground up if needed. This mindset pushes us to innovate, challenge stale assumptions, and move faster than incumbents. It&rsquo;s how we build what others think is impossible.
 
 
 
 The personal data provided in your application and during the selection process will be processed by Happyrobot, Inc., acting as Data Controller.
 
 
 
 
 By sending us your CV, you consent to the processing of your personal data for the purpose of evaluating and selecting you as a candidate for the position. Your personal data will be treated confidentially and will only be used for the recruitment process of the selected job offer.
 
 
 
 
 In relation to the period of conservation of your personal data, these will be eliminated after three months of inactivity in compliance with the GDPR and legislation on the protection of personal data.
 
 
 
 
 If you wish to exercise your rights of access, rectification, deletion, portability or opposition in relation to your personal data, you can do so through security@happyrobot.ai subject to the GDPR.
 
 
 
 
 For more information, visit
 
 
 https://www.happyrobot.ai/privacy-policy
 
 
 
 
 By submitting your request, you confirm that you have read and understood this clause and that you agree to the processing of your personal data as described.
 
</div>

Data Engineer

Collective

<div>
 
 About Collective
 
 
 
 Collective is on a mission to redefine the way businesses-of-one work. Our technology and team of trusted advisors help members achieve financial independence by taking care of everything from business incorporation to accounting, bookkeeping, tax services, and access to a thriving community, all in one integrated platform. We believe in empowering self-employed people to enjoy the same tax savings that big companies get, so they can focus on their passion, not paperwork.
 
 
 Featured in Forbes, Business Insider, Yahoo, Bloomberg, Financial Times, TechCrunch, and more. We are backed by General Catalyst, Sound Ventures (Ashton Kutcher and Guy Oseary), QED Investors, Google&rsquo;s Gradient Ventures, Expa, and other investors who have financed iconic companies like YouTube, Substack, Twitch, Box, Hims, Instacart, and Lyft.
 
 
 
 About The Role
 
 
 
 We&rsquo;re looking for an exceptional software engineer to join our Growth team. In this role, you&rsquo;ll be a key contributor in designing and building both our member-facing products and internal systems. Your work will span critical areas such as the growth funnel, couponing, sales and marketing enablement tools, and member activation flows.
 
 
 Our team is small and moves quickly. We operate with a high degree of autonomy and expect strong ownership from every engineer. This is a unique opportunity to work on impactful projects that directly shape our growth funnel and member onboarding experience. You&rsquo;ll help design and build systems that accelerate member activation, improve conversion, and ensure a seamless journey from first touch to long-term engagement.
 
 
 
 What You'll Do
 
 
 
 <ul>
 <li>
 Build end-to-end product features in close partnership with Growth product and design teams.
 </li>
 <li>
 Write high-quality, reliable code that&rsquo;s easy to maintain and scale.
 </li>
 <li>
 Collaborate with the team to make key architectural decisions that drive scalability.
 </li>
 <li>
 Lead by example, foster a culture of egoless learning, and mentor other engineers.
 </li>
 <li>
 Approach problems with a strong product mindset, balancing technical decisions with user impact.
 </li>
 <li>
 Take extreme ownership across the full lifecycle: design, execution, launch, and post-production support.
 </li>
 <li>
 Drive initiatives that grow our member base to the next level of scale.
 </li>
 <li>
 Enhance customer activation flows to ensure a smooth onboarding experience.
 
 
 </li>
 </ul>
 
 Tech Stack &amp; Environment
 
 
 
 <ul>
 <li>
 Core: Python (Django/FastAPI), React, TypeScript.
 </li>
 <li>
 Data/Infra: PostgreSQL, Redis, AWS, Docker/Kubernetes.
 </li>
 <li>
 AI/ML (Emerging): LLM integration (OpenAI/Anthropic), LangChain/LangGraph, Vector Databases, and Agentic frameworks.
 
 
 </li>
 </ul>
 
 What You'll Bring
 
 
 
 <ul>
 <li>
 3+ years of professional working experience in full-stack development with a strong focus on backend systems (e.g., Python, Django), and the flexibility to dive into frontend or other areas as needed to move the product forward.
 </li>
 <li>
 Proficiency in Python and PostgreSQL, with solid familiarity in AWS technologies, React, and Next.js.
 </li>
 <li>
 Curiosity to explore new technologies, with the ability to thoughtfully leverage AI to enhance product experiences while understanding its limitations.
 </li>
 <li>
 A strong sense of urgency and ownership in driving projects from design through execution and support.
 </li>
 <li>
 Experience with programming languages commonly used in AI/ML (e.g., Python) and web development.
 </li>
 <li>
 Strong communication and interpersonal skills.
 
 
 </li>
 </ul>
 
 What We Offer
 
 
 
 <ul>
 <li>
 Hybrid Work Model: Based in San Francisco with a balance of in-office and remote flexibility
 </li>
 <li>
 Fresh Lunch: Provided on in-office days
 </li>
 <li>
 Commuter Support: $150 monthly reimbursement for transit expenses
 </li>
 <li>
 Health &amp; Wellness: $200 quarterly reimbursement to support your well-being
 </li>
 <li>
 Time Off: Flexible PTO plus 14 company holidays
 </li>
 <li>
 Comprehensive Coverage: 100% medical, dental, and vision for employees; 75% coverage for dependents
 </li>
 <li>
 Parental Leave: 16 weeks fully paid
 </li>
 <li>
 Retirement &amp; Ownership: 401k plan plus an equity package
 </li>
 <li>
 Team Connection: Quarterly virtual events and an annual in-person summit
 </li>
 </ul>
</div>

Full Stack Software Engineer (Growth)

OpenAI

<div>
 
 About The Team
 
 
 
 Core backend engineering is central to delivering reliable, scalable, and performant AI-driven products. Our Backend teams span Search Infrastructure, Platform Engineering, Personalization, Ecosystems, Growth, and more&mdash;building services, data systems, and APIs that power ChatGPT&rsquo;s global footprint.
 
 
 
 About The Role
 
 
 
 We&rsquo;re hiring Backend Software Engineers to design and implement the services and infrastructure powering ChatGPT.
 
 
 
 What You&rsquo;ll Do
 
 
 
 <ul>
 <li>
 Architect, build, and improve scalable backend systems and APIs.
 </li>
 <li>
 Drive performance, reliability, and security across distributed services.
 </li>
 <li>
 Work closely with product, data science, and frontend teams.
 </li>
 <li>
 Implement data storage, retrieval, compute, and integration solutions.
 </li>
 <li>
 Participate in long-term architectural planning and technical design reviews.
 
 
 </li>
 </ul>
 
 You Might Thrive Here If You
 
 
 
 <ul>
 <li>
 Have strong experience with distributed systems, APIs, and backend languages (e.g., Go, Python, Rust, C++).
 </li>
 <li>
 Enjoy building resilient services that handle large scale and complexity.
 </li>
 <li>
 Are passionate about system design, reliability, and operational excellence.
 
 
 </li>
 </ul>
 We are open to hiring in San Fransisco, New York and Seattle
 
 
 
 About OpenAI
 
 
 
 OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
 
 
 We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.
 
 
 For additional information, please see OpenAI&rsquo;s Affirmative Action and Equal Employment Opportunity Policy Statement.
 
 
 Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.
 
 
 To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.
 
 
 We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.
 
 
 OpenAI Global Applicant Privacy Policy
 
 
 At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
 
 
 Compensation Range: $185K - $385K
</div>

Backend Software Engineer, ChatGPT Engineering

Hive

About HiveHive is the leading provider of cloud-based AI solutions to understand, search, and generate content, and is trusted by hundreds of the world's largest and most innovative organizations. The company empowers developers with a portfolio of best-in-class, pre-trained AI models, serving billions of customer API requests every month. Hive also offers turnkey software applications powered by proprietary AI models and datasets, enabling breakthrough use cases across industries. Together, Hive&rsquo;s solutions are transforming content moderation, brand protection, sponsorship measurement, context-based ad targeting, and more.Hive has raised over $120M in capital from leading investors, including General Catalyst, 8VC, Glynn Capital, Bain &amp; Company, Visa Ventures, and others. We have over 250 employees globally in our San Francisco, Seattle, and Delhi offices. Please reach out if you are interested in joining the future of AI!Client Delivery Analyst RoleWe are looking for an eager and motivated delivery analyst to join our Client Delivery team. At Hive, our Client Delivery team is responsible for commercial delivery of all the groundbreaking technology we have built. As a Client Delivery Analyst, you will be responsible for consistently delivering and executing projects within our Hive Data platform. Day to day, you will be managing multiple projects at a time by analyzing priorities, metrics, and deliverables. Our ideal candidate is interested in learning the ins and outs of a fast growing startup, as they will play an essential part in the business lifecycle. You will also have the opportunity to work in a collaborative and close knit team. This is a great opportunity to see how a high growth startup functions in action.Responsibilities<ul><li>Create, set up, and audit projects on our Hive Data platform to execute and deliver client engagements</li><li>Own and execute projects for Hive Data clients by creatively brainstorming ways in which our solutions address client needs and challenges</li><li>Ensure client jobs are running smoothly by managing timelines, identifying points of challenges, and addressing and updating projects accordingly</li><li>Collaborate with sales and business development teams at the start of each project to understand scope and client requirements</li><li>Collaborate with engineers in order to set up optimal pipelines and efficiently audit projects</li><li>Maintain awareness of industry best practices for data maintenance handling as it relates to your role</li><li>Adhere to policies, guidelines and procedures pertaining to the protection of information assets</li><li>Report actual or suspected security and/or policy violations/breaches to an appropriate authority</li></ul>Requirements<ul><li>Bachelor's degree from well-known 4-year university.</li><li>0-2 years of work experience</li><li>You are highly organized and detail-oriented; you handle multiple priorities without missing a beat</li><li>You have excellent written and verbal communications skills with an analytical mindset</li><li>You have demonstrated success in a competitive environment</li><li>You are highly self-motivated and ambitious in achieving goals</li><li>You are a strong team player, but can work and execute independently</li><li>You are driven and actively seek opportunities to contribute -- no one needs to push you to excel</li></ul>Who We AreWe are a group of ambitious individuals who are passionate about creating a revolutionary AI company. At Hive, you will have a steep learning curve and an opportunity to contribute to one of the fastest growing AI start-ups in San Francisco. The work you do here will have a noticeable and direct impact on the development of the company.Thank you for your interest in Hive and we hope to meet you soon!Job Type: Full-timePay: $55,000.00 - $65,000.00 per yearBenefits:<ul><li>Dental insurance</li><li>Health insurance</li><li>Paid time off</li><li>Retirement plan</li><li>Vision insurance</li></ul>Work Location: In person

Client Delivery Analyst

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