<div><span style="font-size: 18px">The Quality Operations Specialist role is an entry-level position for individuals who are interested in working in the Artificial Intelligence and Machine Learning industry. We are looking for a candidate who is a self-starter, detail-oriented and great at multitasking. The role will be focused on monitoring and maintaining the quality of completed tasks. You would be juggling multiple tasks a day, perfect for individuals who value variety and challenge in their work. You would be working cross-functionally with Customer Operations, Sales, Product, Supply Ops, and Engineering to drive improvements in quality. </span></div><div><br></div><div><br></div>

The Quality Operations Specialist role is an entry-level position for individuals who are interested in working in the Artificial Intelligence and Machine Learning industry. We are looking for a candidate who is a self-starter, detail-oriented and great at multitasking. The role will be focused on monitoring and maintaining the quality of completed tasks. You would be juggling multiple tasks a day, perfect for individuals who value variety and challenge in their work. You would be working cross-functionally with Customer Operations, Sales, Product, Supply Ops, and Engineering to drive improvements in quality. 




<li>Label machine learning data from customers</li><li>Complete tasks in a timely manner, meeting SLA deadlines</li><li>Do post-process audits and write error reports on data and tasks</li><li>Work in-sync with Supply Managers to meet weekly goals</li><li>Follow up with Customer Operations in regards to questions about quality</li><li>Identify and resolve the root cause of low quality and provide feedback to respective teams on product improvements</li>

<li>Help create processes and best practices&nbsp;</li><li>Strong attention to detail&nbsp;</li><li>Great communication skills to work well with others</li>

<li>Data labeling experience</li><li>Previous QA experience</li><li>You play video games!</li>

<div>As Scale AI grows customers across computer vision and natural language processing field, we're looking for our first hire in events marketing to drive pipeline growth for our customers. As Strategic Event Marketing Manager,&nbsp; you will be handling a portfolio of highly effective and visible strategic events and programs that support the company’s pipeline and revenue goals. You will be responsible for aligning yourself with the sales organization and helping them to target their most important accounts in a productive and effective way.</div><div><br></div><div>What will make you successful is also to have a strong traditional background working with sales and demand generation including planning, message development and execution of marketing programs. This role is best suited for a data driven high-achiever with proven ability to develop B2B marketing programs both on the strategic and tactical level.</div><div><br></div><div>The position reports to the Vice President of Demand Generation in our San Francisco, California headquarters.</div>

As Scale AI grows customers across computer vision and natural language processing field, we're looking for our first hire in events marketing to drive pipeline growth for our customers. As Strategic Event Marketing Manager,  you will be handling a portfolio of highly effective and visible strategic events and programs that support the company’s pipeline and revenue goals. You will be responsible for aligning yourself with the sales organization and helping them to target their most important accounts in a productive and effective way.

What will make you successful is also to have a strong traditional background working with sales and demand generation including planning, message development and execution of marketing programs. This role is best suited for a data driven high-achiever with proven ability to develop B2B marketing programs both on the strategic and tactical level.

The position reports to the Vice President of Demand Generation in our San Francisco, California headquarters.


<li>Develop and execute an integrated plan for driving attendance at each event and trade show; including hosting an internal kickoff, booth and overall onsite experience, staffing, on-site logistics, and internal alignment on goals</li><li>Partner with demand generation on pre- and post-event campaign promotion and follow up</li><li>Ensure event logistics, services, and shipping are handled on time and within budget</li><li>Engage cross-functional partners internally, such as the sales team, to drive interest, registrations and onsite meetings for the event</li><li>Support our internal design team on various elements of&nbsp; the overall event design and experience</li><li>Partner with product marketing to plan necessary content for speaking sessions</li>

<li>3+ years of prior strategic event marketing experience</li><li>Technology start-up experience preferred</li><li>Creative spark as expressed in ideas for messaging, creative design, etc.</li><li>Must pay maniacal attention to detail, strong project management, and time management skills</li><li>Creative, innovative, resourceful, with a get-it-done mentality</li><li>Ability to work successfully in an ever-changing environment with competing priorities</li>

<div>Scale is a vital part of bringing machine learning enabled technologies to the world, from autonomous driving to drones, robots and AV / AR. Our customer base is growing exponentially, and you will be on the front lines of ensuring that the world's most innovative companies become passionate, lifelong Scale customers. Our Solutions Engineers ensure customers' first experiences with Scale's technology is flawless and leads to a successful long-term partnership. Solutions Engineers partner closely with AEs to lead prospective customers through pre-sales pilots with the goal of getting to yes on the Scale product, providing input to Scale's final proposal and developing a post-sales on-boarding plan. Solutions Engineers are experts on Scale's product and have general technical knowledge on web development and infrastructure. Solutions Engineers are strong relationship builders, great project managers and always fun to work with.&nbsp;</div>

Scale is a vital part of bringing machine learning enabled technologies to the world, from autonomous driving to drones, robots and AV / AR. Our customer base is growing exponentially, and you will be on the front lines of ensuring that the world's most innovative companies become passionate, lifelong Scale customers. Our Solutions Engineers ensure customers' first experiences with Scale's technology is flawless and leads to a successful long-term partnership. Solutions Engineers partner closely with AEs to lead prospective customers through pre-sales pilots with the goal of getting to yes on the Scale product, providing input to Scale's final proposal and developing a post-sales on-boarding plan. Solutions Engineers are experts on Scale's product and have general technical knowledge on web development and infrastructure. Solutions Engineers are strong relationship builders, great project managers and always fun to work with. 


<li>Partner with Scale AEs to deliver customer pilots according to requirements agreed by the customer</li><li>Be accountable for customer experience during the pilot and closing new logos</li><li>Develop and maintain playbooks, demos and other tools for executing successful pilots</li><li>Evangelize Scale and interact with customers at major events</li><li>Work with AEs and PMs to develop customer specific feature requests</li>

<li>2-3+ years experience in a technical sales or consulting role </li><li>Prior experience developing with Python, Java and / or other web development languages</li><li>Strong project management and interpersonal skills</li><li>Presentation skills with a high degree of comfort speaking with executives and front-line engineers</li><li>High level of comfort communicating effectively across internal and external organizations</li><li>A desire to build a new team as part of a high-growth organization</li><li>Ability to travel 10-20% of the time</li><li>An intellectually curious and empathetic personality</li><li>Ability and interest in working at high velocity</li>

<li>Prior experience at a fast-paced startup and able to work well in unstructured environments</li><li>Prior experience at an API technology company</li>

<div>Scale is building out one of the largest hybrid human-machine systems. Our self-regulating system automatically trains workers and ensures continuous quality and optimal allocation. We have thousands of human labelers that complete millions of tasks a month, and that comes with a host of interesting technical challenges. From product to systems to infrastructure engineering, we’re tackling it all to accelerate the development of AI. </div>

Scale is building out one of the largest hybrid human-machine systems. Our self-regulating system automatically trains workers and ensures continuous quality and optimal allocation. We have thousands of human labelers that complete millions of tasks a month, and that comes with a host of interesting technical challenges. From product to systems to infrastructure engineering, we’re tackling it all to accelerate the development of AI. 


<li>Use models to estimate the quality of tasks and labelers, and guarantee quality on requests at large scale.</li><li>Properly route tasks from customers to labelers for low turnaround and high accuracy.</li><li>Build methods to automatically measure and train labelers and optimally match labelers to tasks based on performance.</li><li>Create optimized and efficient UI/UX tooling for Scalers to complete hundreds of complex tasks.</li><li>Build robust machine learning models to automate requests and improve our labelers’ efficiency.</li>

<li>3-7+ years of industry experience as a software engineer post graduation</li><li>Systems engineering experience with real-time and distributed system architecture.</li><li>Product engineering experience such as building web apps full-stack, integrating with relevant APIs and services.</li><li>Experience building systems that process large volumes of data.</li><li>Experience with React, <a href="http://Node.js" class="postings-link">Node.js</a> and/or MongoDB.</li><li>Mentored and grown members of your team or been a tech lead on large projects</li><li>At least a Bachelor’s degree (or equivalent) in a relevant field. </li>

<div>The goal of the ML team at Scale is to develop machine learning solutions advancing the company mission. Our current focus areas are Computer Vision ( 2D/3D detection, 2D/3D segmentation, object tracking), Machine Learning (e.g. semi-supervised learning, active learning) and Natural Language Processing.&nbsp; </div><div><br></div><div>We are building a large hybrid human-machine system in service of ML pipelines for dozens of industry-leading customers. We currently complete millions of tasks a month, and will grow to complete billions of tasks monthly.</div>

The goal of the ML team at Scale is to develop machine learning solutions advancing the company mission. Our current focus areas are Computer Vision ( 2D/3D detection, 2D/3D segmentation, object tracking), Machine Learning (e.g. semi-supervised learning, active learning) and Natural Language Processing.  

We are building a large hybrid human-machine system in service of ML pipelines for dozens of industry-leading customers. We currently complete millions of tasks a month, and will grow to complete billions of tasks monthly.


<li>Research and develop machine learning solutions to assist humans in the loop.</li><li>Aid in the creation of high quality ground truth data with speed and accuracy.</li><li>Engage with the international research community by publishing research papers and attend academic conferences.</li>

As an Applied Research Scientist, you will:

<li>PhD degree in a machine learning related discipline or equivalent practical experience</li><li>Experience in one or more of the following: Computer Vision, Deep Learning and Deep Reinforcement Learning, Natural Language Processing</li><li>Strong programming skills in Python, experience in Tensorflow or PyTorch</li><li>Experience in data structures and algorithms is a plus</li>

<div>We’re growing our labelling operations significantly.  We’re looking for our first head of growth to lead the growth of our crowd labelers.  You will be a key leader in Supply Ops and Scale and oversee all things to do with our crowd labelers to ensure we’re attracting and retaining the right people and keep them engaged and happy while reducing costs of operation.  We’re look for a strategic problem solver who will also lead and grow our operations team.</div>

We’re growing our labelling operations significantly.  We’re looking for our first head of growth to lead the growth of our crowd labelers.  You will be a key leader in Supply Ops and Scale and oversee all things to do with our crowd labelers to ensure we’re attracting and retaining the right people and keep them engaged and happy while reducing costs of operation.  We’re look for a strategic problem solver who will also lead and grow our operations team.


<li>Oversee growth organization which comprises of the following: 1) community and payouts 2) capability training and training of labelers 3) tasker acquisition, retention, and engagement </li><li>Develop KPIs for your team and collaborate throughout the organization to achieve those KPIs and company wide objectives</li><li>Identify ways to optimize the growth funnel of our labelers</li><li>Find and implement creative and cost efficient channels to grow a high quality base of taskers </li><li>Identify the need to hire and build a team to scale training and education for labelers, along with the other critical functions of the role</li>

<li>8+ years of experience in growth, product, and/or in operations </li><li>Strong management skills in leading a large team while growing, hiring, and developing top talent</li><li>Quantitative background with strong analytical and problem solving mindset to solving business problems</li><li>Flexibility to go back and forth between thinking strategically and rolling up your sleeves to get work done</li>

<li>Management consulting experience with a top tier firm</li><li>Experience working in a high growth startup</li><li>Experience owning growth metrics in an operational capacity</li>

<div>Scale AI is seeking a highly motivated Senior Accountant to play an integral part in accounting close, technical accounting, financial reporting, and operations.&nbsp; As the member of the accounting team, you’ll work directly with the Controller to prepare financial statements, manage revenue and cost of sales, reconcile transactions, maintain the general ledger, and manage international accounting.&nbsp; You must have the ability to think high level about processes and procedures but not be afraid to roll up your sleeves that will contribute to the company’s success.</div><div><br></div><div>Our ideal candidate has the highest moral standards and are experienced in handling highly confidential information. You are a dedicated team player, self-motivated, extremely organized, and detail oriented. You thrive in a fast-paced environment and are excited to collaborate with cross-functional teams and prioritize projects.</div><div><br></div>

Scale AI is seeking a highly motivated Senior Accountant to play an integral part in accounting close, technical accounting, financial reporting, and operations.  As the member of the accounting team, you’ll work directly with the Controller to prepare financial statements, manage revenue and cost of sales, reconcile transactions, maintain the general ledger, and manage international accounting.  You must have the ability to think high level about processes and procedures but not be afraid to roll up your sleeves that will contribute to the company’s success.

Our ideal candidate has the highest moral standards and are experienced in handling highly confidential information. You are a dedicated team player, self-motivated, extremely organized, and detail oriented. You thrive in a fast-paced environment and are excited to collaborate with cross-functional teams and prioritize projects.



<li>Analyze revenue, cost of sales, and other technical areas for proper accounting</li><li>Prepare month-end journal entries, balance sheet reconciliations, and supporting schedules</li><li>Assist with accruals, fixed assets, prepaids, and other close areas</li><li>Participate in the preparation of financials, footnotes and other schedules</li><li>Assist with invoices, expenses, payroll, and credit card transactions</li><li>Provide supporting documents for audit and quarterly reviews</li><li>Evaluate and document processes and implement process improvements</li><li>Provide management monthly reporting and analysis</li>

<li>Highly analytical with knowledge of accounting principles </li><li>Excellent organizational skills and able to handle multiple priorities within deadlines </li><li>Excellent problem-solving skills and high level of attention to detail </li><li>Excellent verbal and written communication skills</li><li>Highest moral standards and safekeeping of confidential information</li><li>Must have proficient knowledge of Excel </li><li>Passion for Scale AI, Inc and the AI/ML industry</li>

<li>A Bachelor’s degree in Accounting or Finance, CPA is a plus</li><li>Minimum 3+ years of experience, mix of public accounting and startup experience</li><li>Experience with QuickBooks, NetSuite, <a href="http://Bill.com" class="postings-link">Bill.com</a>, Expensify</li>

<div>As Scale’s first data scientist, you will lead the charge on building our analytical infrastructure and driving insights that lead to step-function improvements in how we operate. We handle millions of tasks for businesses looking to scale their ML development, and we’re looking for a talented data scientist to help us understand it all in the service of building better products. In this role, you will apply statistical models, design and interpret experiments, build mission-critical dashboards, and help structure and order our data in the pursuit of transparency over how we operate and how we can improve.</div><div><br></div><div><br></div>

As Scale’s first data scientist, you will lead the charge on building our analytical infrastructure and driving insights that lead to step-function improvements in how we operate. We handle millions of tasks for businesses looking to scale their ML development, and we’re looking for a talented data scientist to help us understand it all in the service of building better products. In this role, you will apply statistical models, design and interpret experiments, build mission-critical dashboards, and help structure and order our data in the pursuit of transparency over how we operate and how we can improve.




<li>Work closely with product, marketing, business, and ML teams to identify and answer important questions</li><li>Set up, maintain, and scale our data analytics infrastructure</li><li>Build critical dashboards that will guide day-to-day operations, planning, and strategic decision-making</li><li>Iterate on your work and analyses to generate ever-better questions to answer</li><li>Apply statistical models to identify root causes and predict the future performance of tasks, users, and products</li><li>Design, run, and analyze experiments</li><li>Build machine-learning models that power core operations, such as quality assessment and fraud detection</li>

<li>3+ years of industry experience in data science broadly</li><li>Expert knowledge of a scientific computing language (*e.g. *R, Python) and SQL</li><li>Strong knowledge of statistics (clustering, regression,&nbsp;<i>etc.</i>) and experimental design</li><li>Comfort setting up and using BI tools</li><li>Experience with ETL tools and building / maintaining a data warehouse</li>

<li>A PhD or MS in a quantitative field</li>

<div>You will drive Scale's future growth by building relationships with prospective clients and turning them into happy Scale users. You are an adept salesperson, capable of engaging in both technical and business conversations at multiple levels of the organization, including CTO, COO, and CFO. You enjoy bringing your product and technical knowledge when articulating our business proposition. You are biased towards winning business by analytically showing how a client's business model benefits from partnering with Scale . You thrive in extremely fast-paced environments, enjoy collaborating with driven colleagues to make the company a success, and are always looking for opportunities to add value and level up the business.</div>

You will drive Scale's future growth by building relationships with prospective clients and turning them into happy Scale users. You are an adept salesperson, capable of engaging in both technical and business conversations at multiple levels of the organization, including CTO, COO, and CFO. You enjoy bringing your product and technical knowledge when articulating our business proposition. You are biased towards winning business by analytically showing how a client's business model benefits from partnering with Scale . You thrive in extremely fast-paced environments, enjoy collaborating with driven colleagues to make the company a success, and are always looking for opportunities to add value and level up the business.


<li>Align with Scale AI’s strategic objectives, manage and grow revenue within a defined territory, and drive customer success at all levels</li><li>Convey public and acquired intelligence about customers technology footprints, strategic growth plans, technology strategies, and competitive landscape and trends</li><li>Own your end to end sales cycle while working with and leveraging an extended team of sales development, product/technical experts, legal team members, and executives to progress opportunities and drive large scale deals</li><li>Develop relationships at all levels of an organization – executives, influencers and decision-makers</li><li>Lead and close high-value customers and transactions, build pipeline, forecast business, and regularly communicate key updates</li>

<li>Minimum 5+ years of experience exceeding sales goals&nbsp;</li><li>BA/BS or equivalent educational background</li><li>Fast-moving start-up and knowledge of AI/machine learning concepts and use cases</li><li>Proven negotiation and closing skills</li><li>Demonstrated success in winning new accounts and creating pipeline in new markets</li><li>A network of strong relationships in the enterprise that can be leveraged getting off to a fast start </li>

<div>As Scale AI accelerates the development of AI by partnering with customers in the field of Computer Vision and Natural Language Processing, we are looking for our first technical marketing hire to showcase our AI/ML expertise and spearhead our technology thought leadership. </div><div><br></div><div> You will have the opportunity to collaborate with our data scientists, machine learning engineers, product managers, and product marketing to create impactful technical content. You will be able to leverage our unique access to large datasets and in-house ML expertise to build cutting-edge demos and tutorials.</div><div><br></div><div> We are looking for a Technical Marketing Manager who is excited about Computer Vision and Natural Language Processing, and is up-to-date on current trends in AI/ML. This is an opportunity to roll up your sleeves in a fast-paced startup environment and establish yourself as an influencer in the AI/ML community.</div>

As Scale AI accelerates the development of AI by partnering with customers in the field of Computer Vision and Natural Language Processing, we are looking for our first technical marketing hire to showcase our AI/ML expertise and spearhead our technology thought leadership. 

 You will have the opportunity to collaborate with our data scientists, machine learning engineers, product managers, and product marketing to create impactful technical content. You will be able to leverage our unique access to large datasets and in-house ML expertise to build cutting-edge demos and tutorials.

 We are looking for a Technical Marketing Manager who is excited about Computer Vision and Natural Language Processing, and is up-to-date on current trends in AI/ML. This is an opportunity to roll up your sleeves in a fast-paced startup environment and establish yourself as an influencer in the AI/ML community.


<li>Develop technical marketing content such as product presentations, white papers, tutorials, technical blogs, and benchmarks to explain the value of the Scale AI platform.</li><li>Evangelize and demonstrate Scale AI products to developers and data scientists, and explain the technical benefits of the products.</li><li>Drive product launches by building technical product content (blogs, demos and videos), help develop messaging and sales tools, and support the launch plan.</li><li>Lead technical positioning and messaging byconnecting AI/ML technology trends with the Scale AI platform for key use cases.</li><li>Design and deliver value-based demonstration of our products and technology via webinars, customer presentations, and industry events.&nbsp;</li>

<li>Passion for cutting-edge technology, with strong written and verbal communication skills, and a strong desire to be an influencer in the AI/ML field.</li><li>4+ years of total work experience, ideally in technical product marketing, software development, or sales engineering in enterprise software.</li><li>2+ years experience building demos and tutorials, writing technical blogs, presenting webinars, and developing external marketing content such as videos, white papers, ROI/value-oriented assessments, etc.</li><li>Strong preference for applicants with hands-on experience training ML models for computer vision and natural language processing use cases.</li>

<li>Previous work experience in the autonomous vehicles and/or conversational AI field.</li><li>Experience working in a fast-paced startup environment, with a knack of getting things done. </li><li>Ability to produce professional videos using video capture and editing tools</li><li>Ability to present at meetups, be an active member of the machine learning community</li><li>Bachelor of Science degree in Computer Science or related discipline.</li>

<div>As Scale’s first Product Data Scientist, you will lead the charge on building our product analytical infrastructure and driving insights that lead to step-function improvements in how we operate. We handle millions of tasks for businesses looking to scale their ML development, and we’re looking for a talented product data scientist to help us understand it all in the service of building better products. In this role, you will apply statistical models, design and interpret experiments, build mission-critical dashboards, and help structure and order our data in the pursuit of transparency over how we operate and how we can improve.</div>

As Scale’s first Product Data Scientist, you will lead the charge on building our product analytical infrastructure and driving insights that lead to step-function improvements in how we operate. We handle millions of tasks for businesses looking to scale their ML development, and we’re looking for a talented product data scientist to help us understand it all in the service of building better products. In this role, you will apply statistical models, design and interpret experiments, build mission-critical dashboards, and help structure and order our data in the pursuit of transparency over how we operate and how we can improve.


<li>Own end-to-end product analytics workflow including formulating success metrics, socializing them across the organization, and creating dashboards/reports.</li><li>Ensure product areas are performing in line with our high expectations and be able to identify, diagnose, and recommend projects to improve our performance.</li><li>Influence product teams through presentation of data-based recommendations.</li><li>Identify operational efficiencies to the business that will enable Scale to continue growing sustainably.</li><li>Design, run, and analyze experiments.</li><li>Apply statistical models to identify root causes and predict the future performance of tasks, users, and products.</li><li>Conduct statistical and trend analysis to identify opportunities, highlight strengths, and provide recommended corrective actions.</li>

<li>4-6+ years of industry experience in product data science broadly</li><li>Strong proficiency in writing complex SQL queries</li><li>Mastery with data science tools such as R, and/or Python</li><li>Experience with statistical modeling and experimental design</li><li>A detail-oriented and analytical mindset, with emphasis on accuracy</li>

<div>Scale is looking for a Sr Security Engineer to establish our security engineering function. You will be responsible for all aspects of security at Scale to keep our employees and infrastructure protected against threats. Ideal candidates have led security efforts in early-stage companies in the past. You will have a broad mandate and will be expected to drive change and be an evangelist of security throughout the company.  This means working at all levels of system building: network, infrastructure, application, phishing, fraud prevention, compliance, and everything in between.</div>

Scale is looking for a Sr Security Engineer to establish our security engineering function. You will be responsible for all aspects of security at Scale to keep our employees and infrastructure protected against threats. Ideal candidates have led security efforts in early-stage companies in the past. You will have a broad mandate and will be expected to drive change and be an evangelist of security throughout the company.  This means working at all levels of system building: network, infrastructure, application, phishing, fraud prevention, compliance, and everything in between.


<li>Propose, design, build, and deploy security improvements across all aspects of Scale’s infrastructure and product surface. </li><li>Build and monitor integrations between security solutions and ensure the completeness and accuracy of ingested data.</li><li>Identify opportunities for implementing additional technology controls to build more visibility or defend key points of attack.</li><li>Work with our advisors and third party vendors and auditors on pen test, security report and compliance projects.&nbsp;</li>

<li>4+ years of experience in a similar role</li><li>Expert understanding of system, network, infrastructure and security concepts.</li><li>Experience securing SaaS, PaaS, and IaaS cloud environments.</li><li>Familiar with Javascript, Node, Python, Linux, and AWS — or comparable technologies — and are able to think through the security implications of systems built using them.</li><li>Expert level of knowledge of network security monitoring (NSM) techniques.</li>

<div><b>Applications at Scale </b></div><div>The user interfaces that frontend engineers build at Scale combines humans and machines in a way that's never been done before. We have tens of thousands of human labelers working on millions of tasks a month, so it’s important to build intuitive, efficient, and delightful tools for them to use, such as our <a href="https://scale.ai/sensor-fusion-annotation" class="postings-link">Sensor Fusion</a> Labeling tool.</div><div><br></div><div>In this role you will be working on a variety of projects such as creating seamless workflows for our human labelers and designing powerful tools to label complex data such as images/videos and LiDAR data. You will also collaborate with machine learning engineers to create hybrid labeling pipelines powered by a combination of machine learning and human judgment.</div>

Applications at Scale 
The user interfaces that frontend engineers build at Scale combines humans and machines in a way that's never been done before. We have tens of thousands of human labelers working on millions of tasks a month, so it’s important to build intuitive, efficient, and delightful tools for them to use, such as our Sensor Fusion Labeling tool.

In this role you will be working on a variety of projects such as creating seamless workflows for our human labelers and designing powerful tools to label complex data such as images/videos and LiDAR data. You will also collaborate with machine learning engineers to create hybrid labeling pipelines powered by a combination of machine learning and human judgment.


<li>Create optimized and efficient frontend tooling for our labelers to complete complex tasks.</li><li>Design frontends that optimally combine machine learning predictions with human inputs.</li><li>Build out tools for labeling data in 3D that have high performance on consumer laptops.</li><li>Collaborate with backend engineers, UX designers and ML Engineers.</li><li>Work on a small team critical to the company's mission.</li>

As an frontend engineer for applications, you will:

<li>3-7+ years of industry experience as a software engineer post graduation</li><li>Experience building highly performant and data-intensive apps.</li><li>Highly mathematical approach to design.</li><li>Product engineering experience. Building full-stack web apps, integrating with relevant APIs and services.</li><li>Experience with React.</li><li>Experience with <a href="http://Node.js" class="postings-link">Node.js</a> and MongoDB, or comparable technologies. </li><li>Experience with <a href="https://threejs.org/" class="postings-link">three.js </a>or other work building 3D user interfaces. </li><li>Mentored and grown members of your team or been a tech lead on large projects</li><li>A bachelor’s degree (or equivalent) in a related field.</li>

<div>Our engineering team is growing rapidly, and we're looking for engineering managers to help us grow responsibly from both technical and people-related standpoints. In this role, you'll be given the opportunity to have a large amount of impact and autonomy. Ideally, you'll be able to grow as our company grows and be afforded the opportunity to lead larger teams as we scale. You could serve as a leader across a variety of disciplines, including but not limited to machine learning, frontend, backend, and DevOps.</div>

Our engineering team is growing rapidly, and we're looking for engineering managers to help us grow responsibly from both technical and people-related standpoints. In this role, you'll be given the opportunity to have a large amount of impact and autonomy. Ideally, you'll be able to grow as our company grows and be afforded the opportunity to lead larger teams as we scale. You could serve as a leader across a variety of disciplines, including but not limited to machine learning, frontend, backend, and DevOps.


<li>Be responsible for growing and developing a team of talented and motivated engineers with high expectations around individual ownership and impact </li><li>Set the direction of your team; anticipate strategic and scaling-related challenges via thoughtful planning, both from a personnel and technical standpoint</li><li>Foster an engaging and collaborative culture that embodies our values.</li><li>Partner with our People team to attract and engage top talent</li><li>Use your strong technical background to discuss and guide on complex problems</li><li>Use prior startup experience to help us grow responsibly </li>

<li>Experience in crowdsourcing</li><li>Experience at other API technology companies</li><li>Engineering or academic experience in machine learning and systems design</li>

<div>The goal of a research engineer at scale is to bring techniques in the fields of computer vision, deep learning and deep reinforcement learning, or natural language processing into a production environment to improve <a href="http://scale.ai" class="postings-link">scale.ai</a>’s products and customer experience. Our research engineers take advantage of our unique access to massive datasets to deliver improvements to our customers.</div><div><br></div><div> We are building a large hybrid human-machine system in service of ML pipelines for dozens of industry-leading customers. We currently complete millions of tasks a month, and will grow to complete billions of tasks monthly.&nbsp;</div>

The goal of a research engineer at scale is to bring techniques in the fields of computer vision, deep learning and deep reinforcement learning, or natural language processing into a production environment to improve scale.ai’s products and customer experience. Our research engineers take advantage of our unique access to massive datasets to deliver improvements to our customers.

 We are building a large hybrid human-machine system in service of ML pipelines for dozens of industry-leading customers. We currently complete millions of tasks a month, and will grow to complete billions of tasks monthly. 


<li>Take state of the art models developed internally and from the community, use them in production to solve problems for our customers and taskers.</li><li>Take models currently in production, identify areas for improvement, improve them using retraining and hyperparameter searches, then deploy without regressing on core model characteristics</li><li>Work with product and research teams to identify opportunities for improvement in our current product line and for enabling upcoming product lines</li><li>Work with massive datasets to develop both generic models as well as fine tune models for specific products</li><li>Build the scalable ML platform to automate our ML services</li><li>Be a representative for how to apply machine learning and related techniques throughout the engineering and product organization</li><li>Be able, and willing, to multi-task and learn new technologies quickly</li>

<li>Degree in computer science, or related field</li><li>Experience using computer vision, deep learning and deep reinforcement Learning, or natural language processing in a production environment</li><li>Solid background in algorithms, data structures, and object-oriented programming</li><li>Strong programing skills in Python or Javascript, experience in Tensorflow or PyTorch</li>

<li>Graduate degree in Computer Science, Machine Learning or Artificial Intelligence specialization</li><li>Experience working with cloud technology stack (eg. AWS or GCP) and developing machine learning models in a cloud environment</li>

<div>Our engineering team is growing fast as we are working on many new products, features, and enhancements. The goal of the program manager is to bring clarity into the processes of planning, scoping, execution and delivery of the final results. You would play a critical role in the engineering development process understanding technical dependencies, following customer requirements, and providing visibility into the state of execution. This role involves working closely with product and engineering management to make sure phases of this process are well defined and clearly understood. You will also provide clear visibility into the state of execution to other stakeholders, such as finance, legal, customer success, and sales.&nbsp;</div>

Our engineering team is growing fast as we are working on many new products, features, and enhancements. The goal of the program manager is to bring clarity into the processes of planning, scoping, execution and delivery of the final results. You would play a critical role in the engineering development process understanding technical dependencies, following customer requirements, and providing visibility into the state of execution. This role involves working closely with product and engineering management to make sure phases of this process are well defined and clearly understood. You will also provide clear visibility into the state of execution to other stakeholders, such as finance, legal, customer success, and sales. 


<li>Collaborate cross-functionally with Engineering Managers, Product Managers, Designers, and Engineers to define short term objectives and longer term roadmaps</li><li>Organize planning efforts and ensure well-scoped projects&nbsp;</li><li>Maintain structure of feature dependencies and milestones of execution&nbsp;</li><li>Assist with resource planning, deriving delivery time schedules, and qualifying risks</li><li>Ensure technical specifications are present at planning and customer facing documentation is present at delivery</li><li>Monitor and report progress of product development&nbsp;</li><li>Partner with business partners and vendors</li>

<li>BS/BA or a higher degree in a technical field (CS, EE, other types of engineering)</li><li>Proven success in project management or other technical management roles</li><li>Understanding of software development process, planning and risks</li><li>Strong technical (written and verbal) communication, prioritization, and time management skills</li><li>Self-starter, willing to be challenged with new responsibilities, and high attention to details</li><li>An aptitude for learning more about field of machine learning and data processing</li>

<div>As Scale AI accelerates the development of AI by partnering with customers in the field of Computer Vision and Natural Language Processing, we are looking for our first technical marketing hire to showcase our AI/ML expertise and spearhead our technology thought leadership. </div><div><br></div><div> You will have the opportunity to collaborate with our data scientists, machine learning engineers, product managers, and product marketing to create impactful technical content. You will be able to leverage our unique access to large datasets and in-house ML expertise to build cutting-edge demos and tutorials.</div><div><br></div><div> We are looking for a Technical Marketing Engineer who is excited about Computer Vision and Natural Language Processing, and is up-to-date on current trends in AI/ML. This is an opportunity to roll up your sleeves in a fast-paced startup environment and establish yourself as an influencer in the AI/ML community.</div>

As Scale AI accelerates the development of AI by partnering with customers in the field of Computer Vision and Natural Language Processing, we are looking for our first technical marketing hire to showcase our AI/ML expertise and spearhead our technology thought leadership. 

 You will have the opportunity to collaborate with our data scientists, machine learning engineers, product managers, and product marketing to create impactful technical content. You will be able to leverage our unique access to large datasets and in-house ML expertise to build cutting-edge demos and tutorials.

 We are looking for a Technical Marketing Engineer who is excited about Computer Vision and Natural Language Processing, and is up-to-date on current trends in AI/ML. This is an opportunity to roll up your sleeves in a fast-paced startup environment and establish yourself as an influencer in the AI/ML community.


<div>Companies across more and more industries are investing in artificial intelligence (AI) to power new products and transform existing ones. From autonomous cars/drones/robots to smarter utility sensors to natural language processing, these machine learning (ML) initiatives require reliable, custom data annotation pipelines. </div><div><br></div><div>We are looking to hire an operations manager to drive the architecture and execution of these data annotation pipelines for our most strategic customers. You will be working directly with customers’ ML teams to translate their ML goals into high-quality data annotation pipelines that leverage Scale’s evolving product suite. You will be coordinating and collaborating with every team at Scale - from Product to Supply to Sales - to ensure flawless execution on novel and evolving customer needs. Your insight into customer needs and feedback will inform Scale’s product roadmap and internal processes. Successful projects directly contribute to signing new customers and expanding Scale’s footprint with existing customers, which in turn accelerates the development of these customers’ AI applications. Your role will be pivotal to Scale’s growth and expanding capabilities.</div>

Companies across more and more industries are investing in artificial intelligence (AI) to power new products and transform existing ones. From autonomous cars/drones/robots to smarter utility sensors to natural language processing, these machine learning (ML) initiatives require reliable, custom data annotation pipelines. 

We are looking to hire an operations manager to drive the architecture and execution of these data annotation pipelines for our most strategic customers. You will be working directly with customers’ ML teams to translate their ML goals into high-quality data annotation pipelines that leverage Scale’s evolving product suite. You will be coordinating and collaborating with every team at Scale - from Product to Supply to Sales - to ensure flawless execution on novel and evolving customer needs. Your insight into customer needs and feedback will inform Scale’s product roadmap and internal processes. Successful projects directly contribute to signing new customers and expanding Scale’s footprint with existing customers, which in turn accelerates the development of these customers’ AI applications. Your role will be pivotal to Scale’s growth and expanding capabilities.


<li>Manage relationships with prospective technical customers, ranging from executives to the front-line, and deliver amazing experiences that make them excited to add Scale into their ML flow</li><li>Understand customers’ ML goals and collaborate with them to architect and spin up data annotation pipelines</li><li>Coordinate execution with our internal teams - Product, Supply, Sales, Engineering, Customer Operations, and more - owning SLAs and using analytics to align the appropriate resources</li><li>Collaborate with Product and technical teams to scope out and bridge product capability gaps</li><li>Be the voice of the customer to inform our internal processes and product roadmap</li><li>Support Sales in closing new deals and upsells while strategically identifying ways to make success repeatable and scalable</li>

<li>4-8+ years of experience in a consulting, professional services, program management, or customer-facing role</li><li>A passion to excel and drive impact</li><li>The ability to learn quickly from new situations</li><li>Ownership, diligence, and effective collaboration when working across multiple workstreams</li><li>The ability to understand and balance internal and external stakeholder requirements, expectations, and needs</li><li>A structured, data-driven approach to problem solving</li>

<li>Prior experience at an API technology company and / or managing technical customers</li>

<div>As we accelerate the development of AI, we’re investing in the growth of our team and looking for an Executive Assistant to support our leadership. As an Executive Assistant, you’ll be a strategic partner who will handle a wide range of administrative and operational tasks for our executives, while juggling diverse responsibilities. </div><div><br></div><div>We’re looking for someone who enjoys streamlining hectic days, anticipating and adapting to the needs of our executives, and thriving in a fast-moving environment. </div><div><br></div><div>We value someone who is a self-starter, incredibly organized, flexible, who can maintain strong internal and external relationships, and is an overall strong communicator.</div>

As we accelerate the development of AI, we’re investing in the growth of our team and looking for an Executive Assistant to support our leadership. As an Executive Assistant, you’ll be a strategic partner who will handle a wide range of administrative and operational tasks for our executives, while juggling diverse responsibilities. 

We’re looking for someone who enjoys streamlining hectic days, anticipating and adapting to the needs of our executives, and thriving in a fast-moving environment. 

We value someone who is a self-starter, incredibly organized, flexible, who can maintain strong internal and external relationships, and is an overall strong communicator.


<li>Manage executives day-to-day calendars and travel coordination</li><li>Act as a primary point of contact for all internal and external stakeholders on matters pertaining to our executives </li><li>Foresee the needs of our executives and help them stay focused by resolving issues before they arise</li>

<li>BA / BS degree or equivalent work experience</li><li>Minimum 3 years of executive-level support experience</li><li>Strong communication skills and ability to interact with internal and external partners</li><li>Fantastic organizational skills and great follow through on tasks</li>

<div>Scale is hiring a Product Designer to lead our 2D product vertical. Our suite of <a href="https://scale.com/computer-vision" class="postings-link">computer vision applications</a> is used by our decentralized tasker teams to annotate training data that teaches customers’ machine learning models how to function. Our 2D data platform offerings include image and video annotation task types, as well as new products in collaboration with our 3D and NLP product teams.</div><div><br></div><div>You will drive the design vision for these interactive tools, making them more intuitive and powerful while integrating cutting-edge AI active learning workflows. Additionally, you will be the key advocate for supporting the livelihood of thousands of labelers around the world. As such, our Product Designer role is extremely cross-functional, involving everything from tooling design to operational dashboards.</div><div><br></div><div>There are only a handful of designers working in AI, so you will have an outsized influence defining how to sustainably democratize machine learning and empower all people in the ecosystem.</div>

Scale is hiring a Product Designer to lead our 2D product vertical. Our suite of computer vision applications is used by our decentralized tasker teams to annotate training data that teaches customers’ machine learning models how to function. Our 2D data platform offerings include image and video annotation task types, as well as new products in collaboration with our 3D and NLP product teams.

You will drive the design vision for these interactive tools, making them more intuitive and powerful while integrating cutting-edge AI active learning workflows. Additionally, you will be the key advocate for supporting the livelihood of thousands of labelers around the world. As such, our Product Designer role is extremely cross-functional, involving everything from tooling design to operational dashboards.

There are only a handful of designers working in AI, so you will have an outsized influence defining how to sustainably democratize machine learning and empower all people in the ecosystem.


<li>Design user flows with our 2D computer vision team to invent new products and make labeling applications more intuitive</li><li>Partner with Product Managers, Engineers, Data Scientists, and Operations team members to solve product and business challenges</li><li>Advocate for the voice of the user as the sole design representative on the 2D team</li><li>Effectively prioritize and execute work given rapid timelines and high amounts of ambiguity</li><li>Contribute to the evolution of our company-wide design system and interaction patterns</li>

<li>2-5+ years of experience leading end-to-end UI / UX projects and shipping digital products at scale</li><li>Portfolio of product design projects that highlight your diverse skills</li><li>Initiative to proactively identify problems and rally support for proposed solutions</li><li>Proficiency in UI design tools (e.g., Figma) and prototyping tools (e.g., Origami Studio, Framer)</li><li>Expertise with interactive design tools, data visualization, and 2D graphics applications</li><li>Background using user research and data insights to inform design iterations</li><li>Understanding of front-end development processes for web interfaces</li><li>Strong communication and collaboration skills</li><li>Exposure to artificial intelligence, machine learning, and other technical concepts</li><li>Experience with internationalization and designing for global audiences</li>

<div>As a Data Scientist for Business Analytics, you will build our business analytics vertical and drive insights that lead to step-function operational improvements. In this role, you will partner with leadership and teams from across the business—from sales to finance—to help unpack ambiguous problems and build lasting, scalable analytics solutions. Your work will vary from one-off investigations to building core dashboards and tables, and it will directly evolve how Scale operates and measures itself. We are looking for candidates who are incessantly curious and who love creating insights out of ambiguity.</div>

As a Data Scientist for Business Analytics, you will build our business analytics vertical and drive insights that lead to step-function operational improvements. In this role, you will partner with leadership and teams from across the business—from sales to finance—to help unpack ambiguous problems and build lasting, scalable analytics solutions. Your work will vary from one-off investigations to building core dashboards and tables, and it will directly evolve how Scale operates and measures itself. We are looking for candidates who are incessantly curious and who love creating insights out of ambiguity.


<li>Collaborate with leadership, finance, marketing, and sales teams to identify, define, and track key metrics to be used in monitoring, planning, and one-off decision-making</li><li>Work closely with other teams to investigate problems, uncover root causes, and drive quantitative solutions</li><li>Measure and effectively communicate results to the entire organization</li><li>Help operators across the business better understand our customers, taskers, and pipeline efficiency</li><li>Develop repeatable, scalable analytical solutions, such as dashboards, models, or better underlying tables</li>

<li>4+ years of relevant work experience in a role requiring application of data and analytics to business problems</li><li>Mastery of SQL and relational databases; experience with scripting languages (e.g., Python/R), </li><li>Experience with BI tools (e.g., Tableau), and Excel preferred</li><li>Experience designing and building dashboards (Tableau) - understanding which metrics are most meaningful to the business and the cadence required to measure them</li><li>Excellent communication and data visualization skills, and the ability to convey complex ideas succinctly </li><li>Ability to initiate and drive projects to completion with minimal guidance</li>

<li>Experience with finance and US GAAP accounting principles</li><li>Familiarity with Salesforce&nbsp;</li>

<div>Scale is building out one of the largest hybrid human-machine systems. Scale’s self-regulating system automatically trains workers and ensures continuous quality and optimal allocation. We have thousands of human labelers that complete millions of tasks a month, and that comes with a host of interesting technical challenges. From product to systems to infrastructure engineering, we’re tackling it all to accelerate the development of AI. </div>

Scale is building out one of the largest hybrid human-machine systems. Scale’s self-regulating system automatically trains workers and ensures continuous quality and optimal allocation. We have thousands of human labelers that complete millions of tasks a month, and that comes with a host of interesting technical challenges. From product to systems to infrastructure engineering, we’re tackling it all to accelerate the development of AI. 


<li>Use models to estimate the quality of tasks and labelers, and guarantee quality on requests at large scale.</li><li>Properly route tasks from customers to labelers for low turnaround and high accuracy.</li><li>Build methods to automatically measure and train labelers and optimally match labelers to tasks based on performance.</li><li>Build robust machine learning models to automate requests and improve our labelers’ efficiency.</li>

<li>3-7+ years of industry experience as a software engineer post graduation</li><li>Systems engineering experience with real-time and distributed system architecture.</li><li>Experience building systems that process large volumes of data.</li><li>Experience or interest in using the following: AWS, Typescript, Node, Mongo, MLflow, Spark, Presto, Python (note that we are mostly language-agnostic and are open to using whatever is the best tech for the problem at hand)</li><li>Mentored and grown members of your team or been a tech lead on large projects</li><li>At least a Bachelor’s degree (or equivalent) in a relevant field. </li>

<div>The goal of a research engineer at Scale is to bring techniques in the fields of computer vision, deep learning and deep reinforcement learning, or natural language processing into a production environment to improve <a href="http://scale.ai" class="postings-link">scale.ai</a>’s products and customer experience. Our research engineers take advantage of our unique access to massive datasets to deliver improvements to our customers.</div><div><br></div><div> We are building a large hybrid human-machine system in service of ML pipelines for dozens of industry-leading customers. We currently complete millions of tasks a month, and will grow to complete billions of tasks monthly.&nbsp;</div>

The goal of a research engineer at Scale is to bring techniques in the fields of computer vision, deep learning and deep reinforcement learning, or natural language processing into a production environment to improve scale.ai’s products and customer experience. Our research engineers take advantage of our unique access to massive datasets to deliver improvements to our customers.

 We are building a large hybrid human-machine system in service of ML pipelines for dozens of industry-leading customers. We currently complete millions of tasks a month, and will grow to complete billions of tasks monthly. 


<div>As Scale’s first Analytics Engineer, you will spearhead building Scale’s analytical and business-intelligence infrastructure. Scale’s customers process millions of tasks through our APIs, and we’re looking for a talented Analytics Engineer to build scalable solutions to support this growth. You will have widespread purview, with a responsibility for understanding, mining, aggregating, and exposing data across the entire business to support timely and efficient decision-making and data exploration. You will also implement Scale’s data warehouse, data mart, and business intelligence reporting environments, and help users transition their workflows to these systems.</div>

As Scale’s first Analytics Engineer, you will spearhead building Scale’s analytical and business-intelligence infrastructure. Scale’s customers process millions of tasks through our APIs, and we’re looking for a talented Analytics Engineer to build scalable solutions to support this growth. You will have widespread purview, with a responsibility for understanding, mining, aggregating, and exposing data across the entire business to support timely and efficient decision-making and data exploration. You will also implement Scale’s data warehouse, data mart, and business intelligence reporting environments, and help users transition their workflows to these systems.


<li>Work with analytics, infrastructure, finance, and other business partners to drive the development of reporting and analytics platform</li><li>Establish business intelligence best practices, and build pipelines that provide single-source-of-truth foundational accuracy</li><li>Partner with operations and sales teams to automate manual workflows </li><li>Continually improve ongoing data pipelines and simplify self-service support for business stakeholders</li><li>Perform regular system audits to ensure complete and accurate reporting of data/metrics</li><li>Design and build visualization dashboards to accelerate information-to-action at scale</li>

<li>4+ years of relevant work experience in a role requiring application of data modeling and analytic skills</li><li>A clear passion for learning new BI skills and techniques independently and continuously</li><li>Experience with ETL tools and building / maintaining a data warehouse</li><li>Experience in designing and building data infrastructure/automated reporting tools (Tableau)</li><li>Ability to create extensible and scalable data schema that lay the foundation for downstream analysis</li><li>Advanced data analysis knowledge and experience, with strong SQL, and data mining skills</li>

<li>Masters in Computer Science, Mathematics, Statistics, Finance, or related discipline</li><li>Advanced knowledge and hands-on experience leveraging Python, and/or R to perform in-depth data analysis</li>

<div>As Site Manager of King of Prussia, you will be directly involved in standing up and managing Scale AI’s first office location on the East Coast. You will be responsible for recruiting and building out a team of Quality Operations Specialists, creating operational efficiency, delivering on SLAs, navigating local legal and compliance requirements including SOC2, and owning business operations for the King of Prussia office.&nbsp;</div><div><br></div><div>To be successful in this role, you will have a strong background in general management and operations, including defining and delivering quality metrics, insights and analysis, quality assurance, knowledge of and experience in local city operations, managing people and performance management, and implementation of new and improved processes. This role is best suited for a data-driven individual with proven ability to develop high performing teams and operate both strategically and tactically. </div>

As Site Manager of King of Prussia, you will be directly involved in standing up and managing Scale AI’s first office location on the East Coast. You will be responsible for recruiting and building out a team of Quality Operations Specialists, creating operational efficiency, delivering on SLAs, navigating local legal and compliance requirements including SOC2, and owning business operations for the King of Prussia office. 

To be successful in this role, you will have a strong background in general management and operations, including defining and delivering quality metrics, insights and analysis, quality assurance, knowledge of and experience in local city operations, managing people and performance management, and implementation of new and improved processes. This role is best suited for a data-driven individual with proven ability to develop high performing teams and operate both strategically and tactically. 


<li>Create basic quality management infrastructure (metrics, processes, and performance management) and define quality metrics for different customers</li><li>Coordinate site people management and manage performance and personal development&nbsp;</li><li>Define and plan out office and space needs and identify opportunities for cost savings&nbsp;</li><li>Support ops leads to plan out medium-term and long-term capacity needs</li>

<li>8+ years of operations experience&nbsp;</li><li>A local network that can be leveraged for recruiting and hiring into this office&nbsp;</li><li>Must pay maniacal attention to detail, strong project management and time management skills</li><li>Ability to work successfully in an ever-changing environment with competing priorities</li><li>Superior communication and interpersonal skills</li>

<li>Strong leadership and business acumen in addition to technical knowledge</li><li>Experience with managing large-scale work forces</li><li>Creative, innovative, resourceful, with a get-it-done mentality</li><li>Ability to lead cross-collaboration with project leads from CS, Sales, Product and Engineering</li>

<li>Align with Scale AI’s strategic objectives, manage and grow revenue in our automotive sector, and drive customer success at all levels</li><li>Convey public and acquired intelligence about customers technology footprints, strategic growth plans, technology strategies, and competitive landscape and trends</li><li>Own your end to end sales cycle while working with and leveraging an extended team of sales development, product/technical experts, legal team members, and executives to progress opportunities and drive large scale deals</li><li>Develop relationships at all levels of an organization – executives, influencers and decision-makers</li><li>Lead and close high-value customers and transactions, build pipeline, forecast business, and regularly communicate key updates</li>

<div>Scale's customer base is growing exponentially, and you will be on the front lines of ensuring that these customers become passionate, lifelong Scale users. As a member of our Customer Operations team, you own the account plan, manage day to day execution for customers and ensure an incredible customer experience. You are the ultimate all-rounder, triaging customer issues and support, using data and analytics to align internal resources around a successful customer experience, while also being the main contact and advocate for customers' senior executives and engineering teams. Your bias towards finding not just one-off solutions, but repeatable and scalable ways to ensure we continually deliver on SLAs. You have a track record of managing customers to renewal and supporting sales teams managing upsells. And you are naturally empathetic and excel at building long-term relationships through diligent problem solving and thoughtful, strategic discussions.</div>

Scale's customer base is growing exponentially, and you will be on the front lines of ensuring that these customers become passionate, lifelong Scale users. As a member of our Customer Operations team, you own the account plan, manage day to day execution for customers and ensure an incredible customer experience. You are the ultimate all-rounder, triaging customer issues and support, using data and analytics to align internal resources around a successful customer experience, while also being the main contact and advocate for customers' senior executives and engineering teams. Your bias towards finding not just one-off solutions, but repeatable and scalable ways to ensure we continually deliver on SLAs. You have a track record of managing customers to renewal and supporting sales teams managing upsells. And you are naturally empathetic and excel at building long-term relationships through diligent problem solving and thoughtful, strategic discussions.


<li>Manage customer relationships from the executive to the front-line, including planning and executing operational and quarterly business reviews</li><li>Oversee on-boarding and successful implementation for all new accounts</li><li>Develop and manage all aspects of the customer experience, including SLA achievement and account plans</li><li>Manage the long-term health of the customer base by identifying and preempting areas of risk or concern</li><li>Strategically identify ways we can make customer success repeatable and solve issues for future customers</li><li>Partner with clients to understand operational issues and advocate for their fixes with Scale engineers</li><li>Work directly with customer's engineering teams, answering questions and addressing issues with use of our API</li>

<li>Experience in a customer facing role, with experience in a customer-facing technical program management role in industry or professional services</li><li>Experience leading cross-functional project teams  </li><li>A technical background (education or professional experience with CS, Engineering, Math, Statistics, Economics)</li><li>Ability to understand the Scale API and build great relationships with technical customers</li><li>Excellent verbal and written communications</li><li>A track record of structured, analytics-driven problem solving</li><li>4+ years experience at a top-tier consulting firm</li><li>10+ years total work experience</li>

<li>Prior experience at an API technology company and / or managing technical customers using an API</li>

<div>Our Business Recruiter will support a diverse group of hiring partners including Marketing, Sales, Finance, Business Operations, Analytics, Customer Success, Supply Operations, People teams, and more!</div>

Our Business Recruiter will support a diverse group of hiring partners including Marketing, Sales, Finance, Business Operations, Analytics, Customer Success, Supply Operations, People teams, and more!


<li>Drive and lead the full-lifecycle recruitment process from sourcing to close.</li><li>Work closely with hiring teams across the business to defining roles, requirements, interview process, and offer processes.</li><li>Influence and educate hiring teams on recruiting, interviewing best practices, and building inclusive teams.</li><li>Collaborate with Recruiting Coordinators, Sourcers, Technical Recruiters, and hiring partners to build a seamless candidate and hiring partner experience.</li><li>Source for external facing recruiting and marketing events.</li>

<li>2+ years full cycle recruiting experience.</li><li>Experience working in a team environment with shared goals.</li><li>Track record for successfully identifying, qualifying, and closing exceptional candidates.</li><li>Experience in sourcing for passive candidates through multiple channels.</li><li>Excellent verbal and written communication skills. If english is your second language, please apply.</li><li>BS/BA degree OR equivalent work experience.</li>

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