Upwork

👥 501-1000💰 about 8 years ago🫂 Last layoff almost 2 years agoMarketplace Freelance Copywriting Peer to Peer📈 Public Company

Website LinkedIn Email Facebook Twitter

Upwork is an online work marketplace that connects businesses with independent talents worldwide. It offers a platform that enables companies and freelancers to collaborate and unlock their potential across various industries and skills.

Related companies:

🏢 Vanta

👥 501-1000💰 $150,000,000 Series C 8 months agoInternet Artificial Intelligence (AI)Compliance Cyber Security Software

Website LinkedIn Email Facebook Twitter

🏢 Omada Health

👥 501-1000💰 $80,000,000 Debt Financing about 2 years agoTherapeutics Medical Wellness Health Care

Website LinkedIn Email Facebook Twitter

🏢 Apollo.io

👥 501-1000💰 $100,000,000 Series D over 1 year agoSoftware Development

Website LinkedIn Email Facebook Twitter

Jobs at this company:

Apply

🔥 Manager, Customer Success

Posted 3 days ago

📍 United States

🧭 Full-Time

💸 115250.0 - 160000.0 USD per year

🔧 Requirements

5+ years of experience in Customer Success, Account Management, or Sales, with at least 2+ years managing a team.
Proven success working with Enterprise clients, with a strong track record of driving adoption, retention, and expansion.
Strong leadership and coaching abilities, with experience developing high-performing teams that operate as trusted advisors to customers.
Expertise in customer engagement strategies, consultative selling, and workforce solutions, with a deep understanding of contingent workforce trends.
Ability to analyze and leverage customer data, using insights to drive decision-making and optimize customer programs.
Cross-functional collaboration skills, with experience working across Sales, Product, and Marketing teams to drive impact.
Exceptional communication and executive presence, with the ability to influence senior stakeholders and decision-makers.

💡 Responsibilities

Contributes to the strategy and execution plans for a team of Enterprise CSMs, driving performance with minimal oversight while aligning to broader Customer Success objectives.
Establishes a standard of excellence within the team, continuously optimizing best practices and driving operational efficiencies that enhance customer outcomes.
Lead, mentor, and develop a team of Enterprise CSMs, ensuring they operate as strategic consultants for customers while continuously developing their skills.
Accurately forecast anticipated revenue, identify future revenue opportunities, serve as an expert in quality QBRs and creation of Success Plans.
Engage directly with Enterprise accounts to support high-value opportunities, strategic initiatives, and executive-level stakeholder management.
Monitor customer health metrics, proactively identifying risks and opportunities to drive retention, expansion, and customer advocacy.
Implement and refine processes that drive efficiency, enhance customer experience, and streamline CSM workflows.
Takes ownership of team performance, proactively identifying gaps in customer engagement strategies and implementing corrective actions to drive retention and growth.
Leverage data-driven insights to assess team performance, refine customer engagement strategies, and drive measurable business impact.
Establish and track clear performance metrics, ensuring CSMs are not only meeting business goals but also demonstrating proactive leadership and customer influence.
Leverages internal insights and best practices from Upwork’s own usage of the platform to guide customers in developing high-impact contingent workforce programs.

LeadershipData AnalysisCustomer serviceMentoringNegotiationWritten communicationCoachingExcellent communication skillsProblem-solving skillsAccount ManagementVerbal communicationReportingActive listeningCross-functional collaborationRelationship managementSales experienceTeam managementStakeholder managementStrategic thinkingProcess improvementCRMCustomer supportCustomer SuccessSaaS

Posted 3 days ago

Apply

🔥 Engineering Manager, Monetization

Posted 9 days ago

📍 United States

🧭 Full-Time

💸 151500.0 - 215500.0 USD per year

🔍 Software Development

🔧 Requirements

Strong leadership experience managing backend and frontend engineering teams, ideally in a fast-paced environment.
Deep understanding of monetization models, including subscriptions, transaction fees, and marketplace revenue structures.
Experience working with payment processing systems, financial transactions, or billing platforms.
Hands-on technical expertise in backend development (Java, Python, or similar) and frontend technologies where applicable.
Ability to work cross-functionally with Product, Finance, Data, and other key stakeholders to align engineering efforts with business goals.
Strong problem-solving skills and the ability to make data-driven decisions in a complex marketplace ecosystem.
Passion for building scalable, secure, and user-friendly financial systems that drive business growth.

💡 Responsibilities

Lead, mentor, and grow a team of backend and frontend engineers, fostering an environment of technical excellence and innovation.
Drive the development and optimization of subscriptions, fees, and payment models to enhance Upwork’s monetization strategies.
Collaborate closely with Product, Finance, and Data teams to define and execute on revenue-generating initiatives.
Ensure the team delivers high-quality, scalable, and secure solutions while maintaining a strong focus on user experience and performance.
Provide architectural guidance and technical leadership to solve complex engineering challenges related to payment processing and transaction fees.
Establish best practices for engineering, testing, deployment, and monitoring to ensure system reliability and efficiency.
Balance short-term deliverables with long-term strategy to scale Upwork’s monetization infrastructure effectively.

AWSBackend DevelopmentLeadershipPostgreSQLProject ManagementPythonSQLData AnalysisFrontend DevelopmentJavaJavascriptMongoDBMySQLProduct ManagementReact.jsSoftware ArchitectureCross-functional Team LeadershipAPI testingCI/CDRESTful APIsMicroservicesTeam managementNodeJSFinanceSoftware Engineering

Posted 9 days ago

Apply

🔥 Contract: Senior/Lead Full-Stack Engineer

Posted 21 days ago

📍 Latin America

🧭 Contract

🔍 Software Development

🔧 Requirements

Solid software development experience using Java as well as extensive experience with REST and relational databases in a cloud environment such as AWS.
Deep knowledge of modern JavaScript (ES6+ and Typescript), CSS, and HTML.
Experience with a modern JS framework, such as Vue (preferred), React, or Angular
Experience in writing well-structured, easily maintainable unit tests (such as JUnit, Mockito, Jest, etc).
Experience with AI-coding assistants such as co-pilot, cursor, etc
Experience with Infrastructure and working with AWS , Azure
A solid track record of collaborating on code and documentation with large, distributed teams of engineers.
Experience building and supporting high-load web applications and solving scalability issues.

💡 Responsibilities

Working with Engineering teams, Product Managers, and Designers to build outstanding products for our users!
Requires proactive communication and collaborative work with other skilled professionals for code reviews, problem solving, and writing supporting documentation.
Share the ownership of our front and back end code domains and will actively work to solve meaningful user problems and improve quality.

AWSBackend DevelopmentDockerSoftware DevelopmentSQLCloud ComputingFrontend DevelopmentHTMLCSSJavaJavascriptJUNITTypeScriptVue.JsAlgorithmsData StructuresAngularREST APIReactCommunication SkillsCI/CDProblem SolvingAgile methodologiesRESTful APIsDevOpsMicroservicesSoftware Engineering

Posted 21 days ago

Apply

🔥 Lead Machine Learning Engineer, Infrastructure

Posted 24 days ago

📍 United States

🧭 Full-Time

💸 175500.0 - 277500.0 USD per year

🔍 Software Development

🔧 Requirements

NOT STATED

💡 Responsibilities

Design, implement, and optimize distributed systems and infrastructure components to support large-scale machine learning workflows, including data ingestion, feature engineering, model training, and serving.
Develop and maintain frameworks, libraries, and tools to streamline the end-to-end machine learning lifecycle, from data preparation and experimentation to model deployment and monitoring.
Architect and implement highly available, fault-tolerant, and secure systems that meet the performance and scalability requirements of production machine learning workloads.
Collaborate with machine learning researchers and data scientists to understand their requirements and translate them into scalable and efficient software solutions.
Stay current with the latest advancements in machine learning infrastructure, distributed computing, and cloud technologies, and integrate them into our platform to drive innovation.
Mentor junior engineers, conduct code reviews, and uphold engineering best practices to ensure the delivery of high-quality software solutions.

AWSDockerLeadershipPythonSQLApache AirflowCloud ComputingKubernetesMachine LearningMLFlowPyTorchAlgorithmsApache KafkaData engineeringData StructuresSparkTensorflowCI/CDRESTful APIsMentoringDevOpsTerraformMicroservicesData modelingSoftware Engineering

Posted 24 days ago

Apply

🔥 Lead Machine Learning Infrastructure Engineer - Infrastructure & Data

Posted 24 days ago

📍 United States

🧭 Full-Time

💸 185500.0 - 293750.0 USD per year

🔍 Software Development

🔧 Requirements

Strong technical expertise in designing and building scalable ML infrastructure.
Experience with distributed systems and cloud-based ML platforms.
Proficiency in programming languages such as Python, Java, or Scala.
Deep understanding of ML workflows, including data pipelines, model training, and deployment.
Passion for innovation and eagerness to implement the latest advancements in ML infrastructure.
Strong problem-solving skills and ability to optimize complex systems for performance and reliability.
Collaborative mindset with excellent communication skills to work across teams.
Ability to thrive in a fast-paced, dynamic environment with evolving technical challenges.

💡 Responsibilities

Design, implement, and optimize distributed systems and infrastructure components to support large-scale machine learning workflows, including data ingestion, feature engineering, model training, and serving.
Develop and maintain frameworks, libraries, and tools that streamline the end-to-end machine learning lifecycle, from data preparation and experimentation to model deployment and monitoring.
Architect and implement highly available, fault-tolerant, and secure systems that meet the performance and scalability requirements of production machine learning workloads.
Collaborate with machine learning researchers and data scientists to understand their requirements and translate them into scalable and efficient software solutions.
Stay current with advancements in machine learning infrastructure, distributed computing, and cloud technologies, integrating them into our platform to drive innovation.
Mentor junior engineers, conduct code reviews, and uphold engineering best practices to ensure the delivery of high-quality software solutions.

AWSDockerLeadershipPythonSoftware DevelopmentSQLCloud ComputingJavaKubeflowKubernetesMachine LearningMLFlowAlgorithmsData engineeringData StructuresREST APICollaborationCI/CDProblem SolvingMentoringLinuxDevOpsTerraformExcellent communication skillsScalaData modeling

Posted 24 days ago

Apply

🔥 Product Manager

Posted 25 days ago

📍 United States

🧭 Full-Time

💸 136250.0 - 194000.0 USD per year

🔍 HRTech

🔧 Requirements

4+ years of product management experience in a fast-paced environment (ideally scaleup/start-up).
Experience with products that are consumption-driven, not just SaaS. Ideally, experience at a company that is a tech-enabled services company.
A good grasp of technical concepts relevant to the product.

💡 Responsibilities

Prioritize solving problems for customers (enterprise clients, talent, internal teams), not building features for the sake of building.
Take full cycle ownership of your work from ideation on bold, new solutions, design, review and feedback in the final test build and after release, and be proactive & curious throughout the process.
Focus on creating new solutions based on enterprise client needs. Identify client problems proactively, define high-impact solutions, and drive implementation of new solutions to achieve product-market fit.

Data AnalysisProduct ManagementProduct DevelopmentProduct AnalyticsAPI testingRESTful APIsSaaSA/B testing

Posted 25 days ago

Apply

🔥 Sr. Revenue Accountant

Posted 30 days ago

📍 United States

🧭 Full-Time

💸 80250.0 - 97250.0 USD per year

🔍 Technology

🔧 Requirements

4+ years of experience in revenue accounting or public accounting (Big 4 preferred)
CPA certification (or progress toward CPA) is highly preferred
Experience in a Public Company and Sarbanes Oxley (SOX) compliance
Solid knowledge of accounting policies/procedures and financial statements
Ability to resolve problems where analysis requires the in-depth evaluation of various factors

💡 Responsibilities

Support the monthly and quarterly revenue close process, ensuring accurate and timely recognition of revenue and related expenses
Conduct variance analysis and reporting on revenue trends and discrepancies for both the Enterprise and Manage Services products
Support the month end close for various functions; including the preparation of journal entries, account reconciliations, flux analysis for revenue-related accounts, including deferred revenue and accounts receivable
Partner with external auditors by providing documentation, explanations, and support for SOX compliance and audit requests
Collaborate with Accounts Receivable to analyze bad debt reserves, prepare related journal entries, and ensure proper accounting treatment of doubtful accounts.
Partner with FP&A and other business partners to record, reconcile and maintain accrual balances and monthly forecast vs actual analysis
Identify process improvements and internal control enhancements related to revenue accounting
Help with implementations, report maintenance, close efficiency, audit readiness and ad-hoc projects

Financial ManagementAccountingComplianceBudgetingFinancial analysis

Posted 30 days ago

Apply

🔥 Senior Manager, Machine Learning Search

Posted about 1 month ago

📍 United States

🧭 Full-Time

💸 195000.0 - 308000.0 USD per year

🔍 Software Development

🔧 Requirements

8+ years of experience in software engineering, with at least 3+ years leading ML teams.
Strong expertise in machine learning, deep learning, information retrieval, and search technologies.
Proven experience in search ranking, query understanding, and NLP-based search improvements.
Proficiency in distributed computing frameworks (e.g., Spark, Kubernetes).
Deep knowledge of deploying scalable ML models in production search systems.
Exceptional leadership skills with a track record of building and mentoring high-performing engineering teams.
Experience with cloud-based ML infrastructure (AWS, GCP, or Azure).
Strong collaboration skills with the ability to drive alignment across product, engineering, and data teams.

💡 Responsibilities

Lead, mentor, and grow a high-performing team of machine learning engineers, data scientists, and backend engineers.
Drive the development and deployment of state-of-the-art ML models for search retrieval, ranking, and personalization.
Pioneer the integration of Retrieval-Augmented Generation (RAG) and Large Language Models (LLMs) into traditional search systems.
Collaborate with product, engineering, and data teams to enhance Upwork’s search ecosystem.
Establish technical direction and best practices for ML model training, experimentation, and large-scale deployment.
Optimize search algorithms to improve user experience, engagement, and conversion rates.
Foster an experimentation-driven culture, leveraging A/B testing and data insights to refine search and ranking strategies.
Ensure model explainability, fairness, and ethical AI considerations in search algorithms.
Develop a roadmap for scaling ML-powered search and stay ahead of industry trends.

AWSBackend DevelopmentPythonCloud ComputingGCPKubernetesMachine LearningMLFlowAlgorithmsAzureData scienceData StructuresREST APISparkSoftware EngineeringA/B testing

Posted about 1 month ago

Apply

🔥 Senior Engineering Manager, Core Platforms

Posted about 1 month ago

📍 United States

🧭 Full-Time

💸 175500.0 - 277500.0 USD per year

🔍 Software Development

🔧 Requirements

Proven expertise in full-stack development with deep specialization in frontend technologies (HTML, CSS, JavaScript, React, Angular, or Vue.js).
Experience leading engineering teams of 10+ people, with a focus on mentorship, collaboration, and technical leadership.
A track record of driving product innovation and successfully transforming complex ideas into scalable solutions.
Strong problem-solving, communication, and cross-functional collaboration skills in a fast-paced, iterative environment.
Hands-on experience applying AI/Gen AI concepts, integrating ML models into applications, and working with LLMs. Experience with agentic platforms is a plus!

💡 Responsibilities

Full-Stack Leadership: Leverage your frontend expertise (React, Angular, or Vue.js) and robust backend knowledge to build and maintain scalable, high-performance services.
Architectural Excellence: Design resilient, cloud-native architectures, including microservices and data pipelines, for high availability and scalability using AWS, GCP, or Azure.
Product Innovation & Rapid Prototyping: Drive product transformation by identifying opportunities for innovation, creating prototypes, and iterating quickly toward customer-ready solutions.
Software Lifecycle Management: Implement CI/CD pipelines for model training, deployment, monitoring, and versioning, ensuring seamless production rollouts and model observability.
AI & Machine Learning Integration: Collaborate with ML experts to embed AI/Gen AI capabilities, including LLMs, into our products to enhance intelligence and user value.
Tech Trend Awareness: Stay ahead of emerging AI/ML trends (e.g., prompt engineering, transformer architectures) and promote continuous learning within the team.
Team Leadership & Growth: Build and lead a high-performing technical team, fostering collaboration, mentorship, and engineering excellence.
Cross-functional collaboration: Work closely with product, data science, design, and ML teams to deliver features based on A/B testing, user feedback, and analytics.

AWSBackend DevelopmentLeadershipSQLAgileFrontend DevelopmentFull Stack DevelopmentGCPHTMLCSSJavascriptMachine LearningReact.jsVue.JsCross-functional Team LeadershipAzureAngularCommunication SkillsCollaborationCI/CDProblem SolvingRESTful APIsMentoringMicroservicesTeam managementNodeJSPrototypingSoftware Engineering

Posted about 1 month ago

Apply

🔥 Director, Data Science

Posted about 1 month ago

📍 United States

🧭 Full-Time

🔍 Data Science

🔧 Requirements

Master’s or PhD in Mathematics, Statistics, Computer Science, Economics, Machine Learning, or a related.
10+ years of experience in Data Science, AI/ML, or Econometrics.
Proven success with supply-demand models, econometric modelling, and other optimization tools.
Ability to tackle ambiguity with a data-centric mindset.
Keen attention to detail and ability to articulate ideas clearly.

💡 Responsibilities

Hire, mentor, and scale a world-class data science team.
Present insights with conviction, linking metrics to key business drivers.
Work closely with AI/ML engineering and data platform teams.
Reinforce rigorous processes for model selection, validation, and retraining.
Evangelize cutting-edge techniques and mentor colleagues.

Machine LearningData science

Posted about 1 month ago

Apply

Shown 10 out of 17