Scale

  • San Francisco, California
Scale Washington, DC
Jan 18, 2020
Scale AI is the leader for accelerating the development of AI applications, in advanced and complex use cases.  We're on a path where we're working on large federal opportunities which has precipitated our need to bring in a proven leader in this space who will be the first hire to spearhead scale's federal business. This leader should have considerable relationships and experience building a book of business for technology sales in the federal sector having previous success working with the Department of Defense.  This leader will have the ability to hire a team within the calendar year of 2020. They have worked on software solutions to federal government and have successful created all third party relationships and executed related agreements and purchases with the federal government. They’ve earned respect by interacting with both technical and business leaders to align and showcase AI capabilities, applications and use cases that transform a customer’s business. You will: Lead Scale's federal business with the ability to hire a team within the calendar year of 2020Align with Scale AI’s strategic objectives, manage and grow revenue in our federal sector, and drive customer success at all levelsConvey public and acquired intelligence about customers technology footprints, strategic growth plans, technology strategies, and competitive landscape and trends in the federal sectorOwn 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 dealsDevelop relationships at all levels of an organization – executives, influencers and decision-makersLead and close high-value customers and transactions, build pipeline, forecast business, and regularly communicate key updates Ideally you'd have: Minimum 7+ years of experience exceeding sales goals selling into the federal sectorExperience selling complex software solutionsExperience creating new reseller agreements and all other third party relationships/partnerships necessary to execute first deals with federal gov’tProven negotiation and closing skillsDemonstrated success in winning new accounts and creating pipeline in new marketsA network of strong relationships in the federal sector that can be leveraged for getting off to a fast start
Scale San Francisco, California
Jan 17, 2020
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. You will: 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 Develop KPIs for your team and collaborate throughout the organization to achieve those KPIs and company wide objectivesIdentify ways to optimize the growth funnel of our labelersFind and implement creative and cost efficient channels to grow a high quality base of taskers 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 Ideally you'd have: 8+ years of experience in growth, product, and/or in operations Strong management skills in leading a large team while growing, hiring, and developing top talentQuantitative background with strong analytical and problem solving mindset to solving business problemsFlexibility to go back and forth between thinking strategically and rolling up your sleeves to get work done Nice to have: Management consulting experience with a top tier firmExperience working in a high growth startupExperience owning growth metrics in an operational capacity
Scale 160 N Gulph Rd, King of Prussia, PA 19406, USA
Jan 13, 2020
As Site Manager, you will be directly involved in building out and managing the core US operations functions running out of the King of Prussia that will power our growth. You will be responsible for managing capacity planning; scaling, operationalizing and creating efficiency for training programs; delivering results that meet our quality SLAs, navigating local legal and compliance requirements, and owning the business operations for the country at large.  To be successful in this role, a strong background in general management and operations including experience with strategic planning, defining and delivering quality metrics, insights and analysis, quality assurance, knowledge of and experience in local country operations, managing people and performance management across all functions, and implementation and buildout of scaled operations and efficiency gains. This role is best suited for a data-driven high achiever with proven ability to develop and implement high performing teams and functions both on the strategic and tactical level. The position reports to the Head of Supply Planning & Global Ops. You will: Support ops leads to plan out medium-term and long-term capacity needsSet up, coordinate and launch in-person training programs to meet capacity plans and coordinate with HQ to launch local roll outs of online training programsCreate basic quality management infrastructure (metrics, processes, and performance management) and define quality metrics for different customersCoordinate country’s people management and manage performance and personal development across all functionsDefine and plan out office and space needs across the country and continuously achieve and beat cost savings targets Ideally, you’d have: 10+ years of operations experience leading strategic initiatives Must pay maniacal attention to detail, strong project management and time management skillsAbility to work successfully in an ever-changing environment with competing prioritiesSuperior communication and interpersonal skills Nice to haves: Strong leadership and business acumen in addition to technical knowledgeExperience with managing large-scale country work forcesCreative, innovative, resourceful, with a get-it-done mentalityAbility to lead cross-collaboration with project leads from CS, Sales, Product and Engineering
Scale San Francisco, California
Jan 11, 2020
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.  As a Research Engineer, you will: Take state of the art models developed internally and from the community, use them in production to solve problems for our customers and taskers.Take models currently in production, identify areas for improvement, improve them using retraining and hyperparemeter searches, then deploy without regressing on core model characteristicsWork with product and research teams to identify opportunities for improvement in our current product line and for enabling upcoming product linesWork with massive datasets to develop both generic models as well as fine tune models for specific productsBuild the scalable ML platform to automate our ML servicesBe a representative for how to apply machine learning and related techniques throughout the engineering and product organizationBe able, and willing, to multi-task and learn new technologies quickly Requirements: Degree in computer science, or related fieldExperience using computer vision, deep learning and deep reinforcement Learning, or natural language processing in a production environmentSolid background in algorithms, data structures, and object-oriented programmingStrong programing skills in Python or Javascript, experience in Tensorflow or PyTorch Nice to Haves: Graduate degree in Computer Science, Machine Learning or Artificial Intelligence specializationExperience working with cloud technology stack (eg. AWS or GCP) and developing machine learning models in a cloud environment
Scale San Francisco, California
Jan 10, 2020
Scale is looking to hire our first IT Engineer. We are looking for someone who is excited by the opportunity to be part of a fast paced environment that pushes you learn while doing. This role needs to be great with people and strongly focused on automation. Ideally you have been the sole IT person at a startup before and are excited by being an early member of the team here at Scale. You will be someone who focuses on patterns and doesn’t like doing the same thing twice. Your goals in this position is making people happy while creating simple and repeatable solutions for all! You will Provide IT assistance to all Scale employees for tasks including: password resets, access requests, A/V help, etc.Automate onboarding, offboarding and access workflows for all ScaliensProvision & deprovision accounts and setup and document all required access for new employeesWork with functional teams and business leaders to ensure all standard profiles for new hire access are kept up to dateTrack, resolve, or dispatch all issues in SpokeAdministrate and integrate cloud services e.g. Gsuite, Slack, Okta, AWS, Spoke, and many moreCreate and update technology documentation for internal IT teams and for Scale employees Ideally you'd have 4+ years of IT experienceA positive attitude and excitement for building new processes and policies for a rapidly growing organizationExperience with SSO (Okta/OneLogin) and GSuiteExperience working with remote teams and using tools lack Slack or Zoom to support them Nice-to-haves: Previous experience being the sole IT person at a company Python/scripting experience Security focused mindset
Scale 160 N Gulph Rd, King of Prussia, PA 19406, USA
Jan 09, 2020
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. You will: Label machine learning data from customersComplete tasks in a timely manner, meeting SLA deadlinesDo post-process audits and write error reports on data and tasksWork in-sync with Supply Managers to meet weekly goalsFollow up with Customer Operations in regards to questions about qualityIdentify and resolve the root cause of low quality and provide feedback to respective teams on product improvements Ideally, you’d have: Help create processes and best practices Strong attention to detail Great communication skills to work well with others Nice to haves: Data labeling experiencePrevious QA experienceYou play video games!
Scale San Francisco, California
Jan 09, 2020
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.  You will: Partner with Scale AEs to deliver customer pilots according to requirements agreed by the customerBe accountable for customer experience during the pilot and closing new logosDevelop and maintain playbooks, demos and other tools for executing successful pilotsEvangelize Scale and interact with customers at major eventsWork with AEs and PMs to develop customer specific feature requests Ideally you’d have: 2-3+ years experience in a technical sales or consulting role Prior experience developing with Python, Java and / or other web development languagesStrong project management and interpersonal skillsPresentation skills with a high degree of comfort speaking with executives and front-line engineersHigh level of comfort communicating effectively across internal and external organizationsA desire to build a new team as part of a high-growth organizationAbility to travel 10-20% of the timeAn intellectually curious and empathetic personalityAbility and interest in working at high velocity Nice to haves: Prior experience at a fast-paced startup and able to work well in unstructured environmentsPrior experience at an API technology company
Scale San Francisco, California
Jan 04, 2020
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. You will: Work with analytics, infrastructure, finance, and other business partners to drive the development of reporting and analytics platformEstablish business intelligence best practices, and build pipelines that provide single-source-of-truth foundational accuracyPartner with operations and sales teams to automate manual workflows Continually improve ongoing data pipelines and simplify self-service support for business stakeholdersPerform regular system audits to ensure complete and accurate reporting of data/metricsDesign and build visualization dashboards to accelerate information-to-action at scale Ideally you'd have: 4+ years of relevant work experience in a role requiring application of data modeling and analytic skillsA clear passion for learning new BI skills and techniques independently and continuouslyExperience with ETL tools and building / maintaining a data warehouseExperience in designing and building data infrastructure/automated reporting tools (Tableau)Ability to create extensible and scalable data schema that lay the foundation for downstream analysisAdvanced data analysis knowledge and experience, with strong SQL, and data mining skills Nice to haves: Masters in Computer Science, Mathematics, Statistics, Finance, or related disciplineAdvanced knowledge and hands-on experience leveraging Python, and/or R to perform in-depth data analysis
Scale San Francisco, California
Jan 04, 2020
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. You will: 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-makingWork closely with other teams to investigate problems, uncover root causes, and drive quantitative solutionsMeasure and effectively communicate results to the entire organizationHelp operators across the business better understand our customers, taskers, and pipeline efficiencyDevelop repeatable, scalable analytical solutions, such as dashboards, models, or better underlying tables Ideally you'd have: 4+ years of relevant work experience in a role requiring application of data and analytics to business problemsMastery of SQL and relational databases; experience with scripting languages (e.g., Python/R), Experience with BI tools (e.g., Tableau), and Excel preferredExperience designing and building dashboards (Tableau) - understanding which metrics are most meaningful to the business and the cadence required to measure themExcellent communication and data visualization skills, and the ability to convey complex ideas succinctly Ability to initiate and drive projects to completion with minimal guidance Nice to haves: Experience with finance and US GAAP accounting principlesFamiliarity with Salesforce 
Scale San Francisco, California
Jan 04, 2020
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. You will: Own end-to-end product analytics workflow including formulating success metrics, socializing them across the organization, and creating dashboards/reports.Ensure product areas are performing in line with our high expectations and be able to identify, diagnose, and recommend projects to improve our performance.Influence product teams through presentation of data-based recommendations.Identify operational efficiencies to the business that will enable Scale to continue growing sustainably.Design, run, and analyze experiments.Apply statistical models to identify root causes and predict the future performance of tasks, users, and products.Conduct statistical and trend analysis to identify opportunities, highlight strengths, and provide recommended corrective actions. Ideally you'd have: 4-6+ years of industry experience in product data science broadlyStrong proficiency in writing complex SQL queriesMastery with data science tools such as R, and/or PythonExperience with statistical modeling and experimental designA detail-oriented and analytical mindset, with emphasis on accuracy
Scale San Francisco, California
Jan 04, 2020
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. As a Machine Learning Research Engineer - New Grad, you will: Research and develop machine learning solutions to assist humans in the loop.Aid in the creation of high quality ground truth data with speed and accuracy.Take state of the art models developed internally and from the community, use them in production to solve problems for our customers and taskers.Take models currently in production, identify areas for improvement, improve them using retraining and hyperparemeter searches, then deploy without regressing on core model characteristicsWork with product and research teams to identify opportunities for improvement in our current product line and for enabling upcoming product linesWork with massive datasets to develop both generic models as well as fine tune models for specific products Requirements: Currently enrolled in a PhD or MS Program with a focus on Machine Learning, Deep Learning, Computer Vision or Natural Language Processing.Have had a previous internship around Machine Learning, Deep Learning, Computer Vision or Natural Language Processing.,
Scale San Francisco, California
Dec 29, 2019
As Marketing Operations Manager,  you will be directly involved in building out and overseeing the marketing technology stack that will power the growth of the demand generation and go-to-market teams at Scale. You will be responsible for managing the relationship with our marketing technology partners, owning the process for measuring our demand generation funnel and ultimately giving visibility to the business into the attribution of our broader marketing efforts. To be successful in this role, a strong background in working with sales and demand generation programs including experience with strategic planning, metrics, insights and analysis as well as with implementation and buildout of the marketing technology stack. This role is best suited for a data-driven high achiever with proven ability to develop and implement B2B marketing technology both on the strategic and tactical level. The position reports to the Vice President of Demand Generation in our San Francisco, California headquarters. You will: Collaborate closely with marketing and sales leadership team to own end-to-end attribution of marketing programs and measure the team’s impact on pipeline creationOwn best-in-class marketing technology stack to deliver real-time insights into the demand waterfall and account-based marketing analyticsWork closely with the demand generation team to facilitate the creation of highly visible marketing campaigns, utilizing channels including email, display advertising and paid socialDevelop audience segmentation based on persona/industries to effectively target our demand generation programsCreate custom landing pages with the help of sales representatives and content team Ideally you'd have: 3+ years of prior marketing operations experience leading strategic initiatives Experience with online and offline marketing programs with knowledge of current trends, media and tools, including creation of account-based marketing operations3+ years experience administering Salesforce.com and marketing automation tools (preferably Hubspot) to capture, track and report on leadsMust pay maniacal attention to detail, strong project management and time management skillsExperience in evolving marketing programs based on account intelligence, performance data, ground level feedback from sales and understanding of the businessAbility to work successfully in an ever-changing environment with competing priorities Nice to have: Strong marketing and business acumen in addition to technical knowledgeExperience with marketing attribution tools desired (Bizible, Brightfunnel)Creative, innovative, resourceful, with a get-it-done mentality
Scale United Kingdom
Dec 18, 2019
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. You will: Align with Scale AI’s strategic objectives, manage and grow revenue within a defined territory, and drive customer success at all levelsConvey public and acquired intelligence about customers technology footprints, strategic growth plans, technology strategies, and competitive landscape and trendsOwn 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 dealsDevelop relationships at all levels of an organization – executives, influencers and decision-makersLead and close high-value customers and transactions, build pipeline, forecast business, and regularly communicate key updates Ideally you’d have: Minimum 5+ years of experience exceeding sales goals BA/BS or equivalent educational backgroundFast-moving start-up and knowledge of AI/machine learning concepts and use casesProven negotiation and closing skillsDemonstrated success in winning new accounts and creating pipeline in new marketsA network of strong relationships in the enterprise that can be leveraged getting off to a fast start
Scale Germany
Dec 18, 2019
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. You will: Align with Scale AI’s strategic objectives, manage and grow revenue in our automotive sector, and drive customer success at all levelsConvey public and acquired intelligence about customers technology footprints, strategic growth plans, technology strategies, and competitive landscape and trendsOwn 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 dealsDevelop relationships at all levels of an organization – executives, influencers and decision-makersLead and close high-value customers and transactions, build pipeline, forecast business, and regularly communicate key updates Ideally you'd have: Minimum 5+ years of experience exceeding sales goals BA/BS or equivalent educational backgroundFast-moving start-up and knowledge of AI/machine learning concepts and use casesProven negotiation and closing skillsDemonstrated success in winning new accounts and creating pipeline in new marketsA network of strong relationships in the enterprise that can be leveraged getting off to a fast start
Scale San Francisco, California
Dec 05, 2019
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. You will: Manage customer relationships from the executive to the front-line, including planning and executing operational and quarterly business reviewsOversee on-boarding and successful implementation for all new accountsDevelop and manage all aspects of the customer experience, including SLA achievement and account plansManage the long-term health of the customer base by identifying and preempting areas of risk or concernStrategically identify ways we can make customer success repeatable and solve issues for future customersPartner with clients to understand operational issues and advocate for their fixes with Scale engineersWork directly with customer's engineering teams, answering questions and addressing issues with use of our API Ideally you'd have: Experience in a customer facing role, with experience in a customer-facing technical program management role in industry or professional servicesExperience leading cross-functional project teams A technical background (education or professional experience with CS, Economic, Statistics, Engineering)Ability to understand the Scale API and build great relationships with technical customersExcellent verbal and written communicationsA track record of structured, analytics-driven problem solving Nice to haves: Prior experience at an API technology company and / or managing technical customers using an API
Scale San Francisco, California
Nov 06, 2019
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. As an Applied Research Scientist, you will: Research and develop machine learning solutions to assist humans in the loop.Aid in the creation of high quality ground truth data with speed and accuracy.Engage with the international research community by publishing research papers and attend academic conferences. Requirements: PhD degree in a machine learning related discipline or equivalent practical experienceExperience in one or more of the following: Computer Vision, Deep Learning and Deep Reinforcement Learning, Natural Language ProcessingStrong programming skills in Python, experience in Tensorflow or PyTorchExperience in data structures and algorithms is a plus
Scale San Francisco, California
Nov 06, 2019
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. Example projects Use models to estimate the quality of tasks and labelers, and guarantee quality on requests at large scale.Properly route tasks from customers to labelers for low turnaround and high accuracy.Build methods to automatically measure and train labelers and optimally match labelers to tasks based on performance.Build robust machine learning models to automate requests and improve our labelers’ efficiency. This role could be a fit if you have: Systems engineering experience with real-time and distributed system architecture.Experience building systems that process large volumes of data.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)At least a Bachelor’s degree (or equivalent) in a relevant field.
Scale San Francisco, California
Nov 06, 2019
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. You will: Work closely with product, marketing, business, and ML teams to identify and answer important questionsSet up, maintain, and scale our data analytics infrastructureBuild critical dashboards that will guide day-to-day operations, planning, and strategic decision-makingIterate on your work and analyses to generate ever-better questions to answerApply statistical models to identify root causes and predict the future performance of tasks, users, and productsDesign, run, and analyze experimentsBuild machine-learning models that power core operations, such as quality assessment and fraud detection Ideally you’d have: 3+ years of industry experience in data science broadlyExpert knowledge of a scientific computing language (*e.g. *R, Python) and SQLStrong knowledge of statistics (clustering, regression, etc.) and experimental designComfort setting up and using BI toolsExperience with ETL tools and building / maintaining a data warehouse Nice to haves: A PhD or MS in a quantitative field
Scale San Francisco, California
Nov 06, 2019
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. You will Be responsible for growing and developing a team of talented and motivated engineers with high expectations around individual ownership and impact Set the direction of your team; anticipate strategic and scaling-related challenges via thoughtful planning, both from a personnel and technical standpointFoster an engaging and collaborative culture that embodies our values.Partner with our People team to attract and engage top talentUse your strong technical background to discuss and guide on complex problemsUse prior startup experience to help us grow responsibly Nice to haves: Experience in crowdsourcingExperience at other API technology companiesEngineering or academic experience in machine learning and systems design
Scale San Francisco, California
Nov 06, 2019
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.  You will: Collaborate cross-functionally with Engineering Managers, Product Managers, Designers, and Engineers to define short term objectives and longer term roadmapsOrganize planning efforts and ensure well-scoped projects Maintain structure of feature dependencies and milestones of execution Assist with resource planning, deriving delivery time schedules, and qualifying risksEnsure technical specifications are present at planning and customer facing documentation is present at deliveryMonitor and report progress of product development Partner with business partners and vendors Ideally you'd have: BS/BA or a higher degree in a technical field (CS, EE, other types of engineering)Proven success in project management or other technical management rolesUnderstanding of software development process, planning and risksStrong technical (written and verbal) communication, prioritization, and time management skillsSelf-starter, willing to be challenged with new responsibilities, and high attention to detailsAn aptitude for learning more about field of machine learning and data processing