Everstream Analytics

👥 251-500💰 $50,000,000 Series B about 2 years agoProductivity ToolsArtificial Intelligence (AI)LogisticsMachine LearningRisk ManagementAnalyticsSupply Chain ManagementProcurement💼 Private Company
Website LinkedIn Email Facebook Twitter

Everstream Analytics empowers global companies to build resilient and agile supply chains by providing actionable risk insights. We leverage advanced analytics and proprietary intelligence to deliver end-to-end visibility, helping clients protect revenue and reputation. Our platform integrates seamlessly with existing procurement, logistics, and business continuity systems, providing real-time monitoring and predictive analytics across the entire supply chain. We're a data-driven organization using machine learning, AI, and a robust tech stack to process and analyze vast quantities of global data. Everstream's unique value proposition lies in our ability to combine cutting-edge technology with deep industry expertise and multilingual specialists. We're trusted by leading global brands such as Google, Schneider Electric, Unilever, and Campbell’s, consistently exceeding expectations and delivering measurable results. Our company culture is defined by audacious goals, unwavering grit, unyielding optimism, strong virtue, and a collaborative spirit. We're a rapidly growing company with a significant Series B funding round, fostering a dynamic environment that embraces innovation and continuous learning. Our engineering team operates with a focus on agility and collaboration, utilizing modern technologies including [inferring technologies from Crunchbase data: Amazon EC2, Google Analytics, HTML5, Cloudflare CDN, Google Maps API, Google Fonts, Google Tag Manager]. We maintain a 100% remote work policy and have a globally distributed team, offering flexible work arrangements to employees worldwide. Everstream's commitment to innovation is further evidenced by our recent acquisition of BlueNode and recognition as a leading technology provider in the food chain industry for three consecutive years. At Everstream Analytics, we’re building the future of supply chain resilience. Join a team that thrives on challenges, values collaboration, and empowers individuals to make a significant impact on a global scale.

Related companies:

Jobs at this company:

Apply

🧭 Internship

  • Pursuing a degree in Computer Science, Data Science, Information Technology, or a related field.
  • Familiarity with Python and libraries such as BeautifulSoup, Scrapy, or Selenium for data collection tasks.
  • Understanding of HTML, CSS, and JavaScript to navigate and parse web content effectively.
  • Basic knowledge of data storage formats and databases (e.g., CSV, JSON, SQL).
  • Strong problem-solving skills and attention to detail.
  • Excellent communication skills, both written and verbal.
  • Develop and maintain scripts to automate the collection of publicly available data from online sources, ensuring compliance with each website's terms of service and robots.txt directives.
  • Clean, validate, and organize collected data to ensure accuracy and usability for downstream tasks.
  • Store extracted data in structured formats such as CSV, JSON, or databases, ensuring efficient retrieval and analysis.
  • Work closely with data scientists and analysts to understand data requirements and ensure legal compliance.
  • Document data collection processes, data dictionaries, and any challenges encountered to facilitate knowledge sharing and future maintenance.
Posted 10 days ago
Apply
Apply

📍 United States

🧭 Full-Time

🔍 Supply Chain

  • 7–10 years of success in enterprise SaaS sales, business development, or strategic account management.
  • Proven ability to land and expand enterprise accounts across global organizations.
  • Experience selling into departments such as Supply Chain, Procurement, Risk, or Compliance.
  • Strong presentation and negotiation skills, with the ability to sell a strategic vision.
  • Knowledge of supply chain technology and risk management is a strong advantage.
  • Bachelor's degree required; advanced degree preferred.
  • Identify and develop new relationships across priority industries, engaging senior stakeholders to uncover business objectives and risk management challenges.
  • Deliver a compelling, value-driven narrative around Everstream’s supply chain risk solutions, tailored to the customer’s unique needs.
  • Act as a trusted advisor and subject matter expert on supply chain risk management and resilience strategy.
  • Build and maintain a healthy, high-quality pipeline of strategic enterprise opportunities to meet and exceed individual and team targets.
  • Use account-based selling strategies and Challenger Sales methodology to engage prospects, uncover pain points, and position Everstream’s platform as a business-critical solution.
  • Collaborate with Inside Sales, Marketing, and Product teams to drive prospect engagement through the sales funnel.
  • Attend industry conferences and forums to build brand awareness, generate leads, and deepen industry expertise.
  • Lead the full sales cycle from discovery through proposal, negotiation, and close.
  • Navigate complex procurement and legal processes with enterprise buyers.
  • Partner with Customer Success and Implementation teams to ensure seamless onboarding and long-term value realization.
  • Maintain rigorous pipeline hygiene and forecast accuracy in Salesforce (SFDC).
  • Share market and customer insights with Product, Marketing, and leadership to inform strategic direction.
  • Actively contribute to a performance-driven sales culture through feedback, collaboration, and continuous improvement.

SQLBusiness DevelopmentSalesforceStrategic ManagementRESTful APIsPresentation skillsAccount ManagementNegotiation skillsSales experienceMarket ResearchRisk ManagementLead GenerationStrategic thinkingCRMFinancial analysisData analyticsCustomer SuccessSaaS

Posted 17 days ago
Apply
Apply
🔥 Staff Software Engineer
Posted 2 months ago

📍 Brazil

🧭 Full-Time

🔍 Supply Chain

  • 10+ years of hands-on professional experience with Python frameworks (Django/Flask).
  • Strong with systems design, distributed services etc., with a track record of having led successful software initiatives and teams.
  • Experience with big data software architecture & design.
  • Excellent understanding of how to profile, troubleshoot and performance-proof large, data intensive applications.
  • Delivered features on a product and understand the software development lifecycle from start to finish.
  • Demonstrated technical excellence and leadership providing solutions that solve complex problems.
  • Experienced with Agile principles and have worked on a Scrum based to deliver software on a regular cadence.
  • Working knowledge/ experience with cloud (AWS preferred) tools and packages.
  • Knowledge of graph DB technologies (e.g. Neo4j, etc).
  • Work with engineers and product owners across teams and shape our roadmap to ensure we ship interoperable products.
  • Work together with UI/UX teams to build high quality, feature rich product experiences.
  • Set a high bar for software engineering contributions and quality across multiple teams.
  • Provide guidance and ownership of architectural and design decisions for the platform.
  • Make suitable tradeoffs between technology choices, business priorities and user experience.

AWSBackend DevelopmentDockerLeadershipPostgreSQLPythonAgileDjangoKafkaKubernetesSoftware ArchitectureTypeScriptNext.jsRESTful APIsTerraformSoftware Engineering

Posted 2 months ago
Apply
Apply

📍 LATAM

🧭 Full-Time

🔍 Supply Chain Risk Management

  • 7+ years of hands-on professional experience with Python frameworks (Django/Flask).
  • Understanding of systems design, distributed services etc., with a track record of having led successful software initiatives and teams.
  • Working knowledge/ experience with cloud (AWS preferred) tools and packages.
  • Drive software development from concept to production, ensuring the delivery of high-quality, scalable solutions.
  • Take ownership of features, collaborating closely with our engineering team—including developers, architects, product managers, and QA specialists.
  • Serve as a mentor to junior engineers, guiding them in best practices and helping them grow into stronger contributors.

AWSBackend DevelopmentDockerLeadershipPostgreSQLPythonSoftware DevelopmentAgileDjangoKafkaKubernetesTypeScriptNext.jsCI/CDAgile methodologiesRESTful APIsTerraformDebugging

Posted 2 months ago
Apply
Apply
🔥 Principal Data Engineer
Posted 4 months ago

📍 Europe

🧭 Full-Time

🔍 Supply Chain Risk Analytics

  • Deep understanding of Python, including data manipulation and analysis libraries like Pandas and NumPy.
  • Extensive experience in data engineering, including ETL, data warehousing, and data pipelines.
  • Strong knowledge of AWS services, such as RDS, Lake Formation, Glue, Spark, etc.
  • Experience with real-time data processing frameworks like Apache Kafka/MSK.
  • Proficiency in SQL and NoSQL databases, including PostgreSQL, Opensearch, and Athena.
  • Ability to design efficient and scalable data models.
  • Strong analytical skills to identify and solve complex data problems.
  • Excellent communication and collaboration skills to work effectively with cross-functional teams.
  • Manage and grow a remote team of data engineers based in Europe.
  • Collaborate with Platform and Data Architecture teams to deliver robust, scalable, and maintainable data pipelines.
  • Lead and own data engineering projects, including data ingestion, transformation, and storage.
  • Develop and optimize real-time data processing pipelines using technologies like Apache Kafka/MSK or similar.
  • Design and implement data lakehouses and ETL pipelines using AWS services like Glue or similar.
  • Create efficient data models and optimize database queries for optimal performance.
  • Work closely with data scientists, product managers, and engineers to understand data requirements and translate them into technical solutions.
  • Mentor junior data engineers and share your expertise. Establish and promote best practices.

AWSPostgreSQLPythonSQLETLApache KafkaNosqlSparkData modeling

Posted 4 months ago
Apply