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About Eve Eve is redefining legal technology for plaintiff law firms, and we're building the team that will take us there. We help firms handle more cases, recover more for clients, and grow with AI that works across every stage of a case, from intake through resolution. The next generation of great plaintiff firms will be AI-Native, and Eve is how they get there. But what makes Eve different isn't just the product. It's how we build it. If you're someone who takes ownership, stays curious, and wants to build AI that's already changing how law is practiced, this is where you belong. Product-market fit: Eve is trusted by over 1000+ law firms, and we’re growing fast. Backed by top investors: We’ve raised over $160M from world-class partners including Spark Capital, Andreessen Horowitz(A16z), Menlo Ventures, and Lightspeed. Built by a world-class team: Engineers, designers, and operators from places like Scale, Meta, Airbnb, Cruise, Square, Rubrik, and Lyft are building Eve from the ground up. AI-Native from day one: We’re on the bleeding edge of AI, collaborating directly with teams at OpenAI and Anthropic to build best-in-class AI workflows tailored for legal work. Explosive growth: We are growing 2X revenue Quarter over Quarter. About the role 1,200+ law firms already run their practice on Eve. This role is about helping firms find and grow into the parts of Eve that matter most to them. You'll own growth and monetization design: trial-to-paid, usage-based pricing, upgrade moments. It's a role that sits close to the business side of the product, where design decisions directly shape revenue. We move fast, but never at the cost of building the wrong thing. We're high-autonomy and team-first — people who take initiative on their own, but still lean on the team, tend to do well here. What you'll do Shape how Eve's AI features get priced and packaged: usage tiers, seat/case limits, credits, premium features. Own growth design end to end: trial-to-pa

About Eve Eve is redefining legal technology for plaintiff law firms, and we're building the team that will take us there. We help firms handle more cases, recover more for clients, and grow with AI that works across every stage of a case, from intake through resolution. The next generation of great plaintiff firms will be AI-Native, and Eve is how they get there. But what makes Eve different isn't just the product. It's how we build it. If you're someone who takes ownership, stays curious, and wants to build AI that's already changing how law is practiced, this is where you belong. Product-market fit: Eve is trusted by over 1000+ law firms, and we’re growing fast. Backed by top investors: We’ve raised over $160M from world-class partners including Spark Capital, Andreessen Horowitz(A16z), Menlo Ventures, and Lightspeed. Built by a world-class team: Engineers, designers, and operators from places like Scale, Meta, Airbnb, Cruise, Square, Rubrik, and Lyft are building Eve from the ground up. AI-Native from day one: We’re on the bleeding edge of AI, collaborating directly with teams at OpenAI and Anthropic to build best-in-class AI workflows tailored for legal work. Explosive growth: We are growing 2X revenue Quarter over Quarter. About the role: Design at Eve is at an inflection point. We've shipped a product that 1,000+ law firms use every day — and we're now building the design team to match our ambition.You'll own complex product surfaces end to end, partner closely with product and engineering to shape direction, and help raise the bar for how design works across the org. We're a team-first group and co-create together. Design at Eve is AI-first. The workflow moves from LLM to code prototype to Figma/the tool of your choice. We want designers who already work this way, or who are ready to make it their default What you’ll do: Own the full arc of design work. You define the problem, shape the approach, push back when the framing can be better, and stay

Responsibility Partner with Product / Business / Tech owners and Design & Operation Leaders in understanding long-term capabilities / initiatives that need to be managed in-line with the Organizational strategic choices Review the business case and Own E2E (starting with solutioning till go-live) execution of one or more top level key strategic initiatives on need basis partnering with senior leadership team Besides managing and executing Strategic Programs, need to drive the Strategy Setting & Review exercises like OKR Finalisation, Quarterly/Monthly OKR Reviews Skills/Competencies required Education - B.Tech/B.E, MBA , PMP Certified Understanding of eCommerce industry and hands-on experience in driving complex strategic initiatives 7-10 Years of seasoned experience professional in project/ program management, preferable in supply chain, e-commerce business domains. Strong people skills: ability to influence people, negotiate and be unflustered in crucial conversations Strong affinity for data-based decision-making; adept at designing useful measurements Ability to thrive in an evolving/ambiguous environment and ability to deal with lack of clarity and vagueness Experience in partnering with Senior Leadership & driving Strategic Initiatives Good understanding of SDLC methodologies, in particular Agile methodologies and a know-how in adapting them

Responsibility Partner with Product / Business / Tech owners and Design & Operation Leaders in understanding long-term capabilities / initiatives that need to be managed in-line with the Organizational strategic choices Review the business case and Own E2E (starting with solutioning till go-live) execution of one or more top level key strategic initiatives on need basis partnering with senior leadership team Besides managing and executing Strategic Programs, need to drive the Strategy Setting & Review exercises like OKR Finalisation, Quarterly/Monthly OKR Reviews Skills/Competencies required Education - B.Tech/B.E, MBA , PMP Certified Understanding of eCommerce industry and hands-on experience in driving complex strategic initiatives 7-10 Years of seasoned experience professional in project/ program management, preferable in supply chain, e-commerce business domains. Strong people skills: ability to influence people, negotiate and be unflustered in crucial conversations Strong affinity for data-based decision-making; adept at designing useful measurements Ability to thrive in an evolving/ambiguous environment and ability to deal with lack of clarity and vagueness Experience in partnering with Senior Leadership & driving Strategic Initiatives Good understanding of SDLC methodologies, in particular Agile methodologies and a know-how in adapting them

Responsibility Partner with Product / Business / Tech owners and Design & Operation Leaders in understanding long-term capabilities / initiatives that need to be managed in-line with the Organizational strategic choices Review the business case and Own E2E (starting with solutioning till go-live) execution of one or more top level key strategic initiatives on need basis partnering with senior leadership team Besides managing and executing Strategic Programs, need to drive the Strategy Setting & Review exercises like OKR Finalisation, Quarterly/Monthly OKR Reviews Skills/Competencies required Education - B.Tech/B.E, MBA , PMP Certified Understanding of eCommerce industry and hands-on experience in driving complex strategic initiatives 7-10 Years of seasoned experience professional in project/ program management, preferable in supply chain, e-commerce business domains. Strong people skills: ability to influence people, negotiate and be unflustered in crucial conversations Strong affinity for data-based decision-making; adept at designing useful measurements Ability to thrive in an evolving/ambiguous environment and ability to deal with lack of clarity and vagueness Experience in partnering with Senior Leadership & driving Strategic Initiatives Good understanding of SDLC methodologies, in particular Agile methodologies and a know-how in adapting them

Responsibility Partner with Product / Business / Tech owners and Design & Operation Leaders in understanding long-term capabilities / initiatives that need to be managed in-line with the Organizational strategic choices Review the business case and Own E2E (starting with solutioning till go-live) execution of one or more top level key strategic initiatives on need basis partnering with senior leadership team Besides managing and executing Strategic Programs, need to drive the Strategy Setting & Review exercises like OKR Finalisation, Quarterly/Monthly OKR Reviews Skills/Competencies required Education - B.Tech/B.E, MBA , PMP Certified Understanding of eCommerce industry and hands-on experience in driving complex strategic initiatives 7-10 Years of seasoned experience professional in project/ program management, preferable in supply chain, e-commerce business domains. Strong people skills: ability to influence people, negotiate and be unflustered in crucial conversations Strong affinity for data-based decision-making; adept at designing useful measurements Ability to thrive in an evolving/ambiguous environment and ability to deal with lack of clarity and vagueness Experience in partnering with Senior Leadership & driving Strategic Initiatives Good understanding of SDLC methodologies, in particular Agile methodologies and a know-how in adapting them

Responsibility Partner with Product / Business / Tech owners and Design & Operation Leaders in understanding long-term capabilities / initiatives that need to be managed in-line with the Organizational strategic choices Review the business case and Own E2E (starting with solutioning till go-live) execution of one or more top level key strategic initiatives on need basis partnering with senior leadership team Besides managing and executing Strategic Programs, need to drive the Strategy Setting & Review exercises like OKR Finalisation, Quarterly/Monthly OKR Reviews Skills/Competencies required Education - B.Tech/B.E, MBA , PMP Certified Understanding of eCommerce industry and hands-on experience in driving complex strategic initiatives 7-10 Years of seasoned experience professional in project/ program management, preferable in supply chain, e-commerce business domains. Strong people skills: ability to influence people, negotiate and be unflustered in crucial conversations Strong affinity for data-based decision-making; adept at designing useful measurements Ability to thrive in an evolving/ambiguous environment and ability to deal with lack of clarity and vagueness Experience in partnering with Senior Leadership & driving Strategic Initiatives Good understanding of SDLC methodologies, in particular Agile methodologies and a know-how in adapting them

As a Senior Solutions Engineer, you will be the primary technical resource for our ANZ Accounts team. You will share your product and technical expertise across security and observability use cases, through presentations, product demonstrations, and technical evaluations (Proof Of Values). As the technical expert, you will work with clients to understand their requirements and pain points, then design the right solution for their business needs. During the sales cycle you will guide customers through POVs, demonstrating Sumo Logic’s ability to meet and exceed their requirements and building a positive relationship that will provide continuous value to our customers. Finally, you will have the opportunity to work cross-functionally with our Product Management and Engineering teams to share your knowledge and experiences to ultimately improve our business and our customers’ success. We seek talent who wants to leverage their technical and people skills to help deliver solutions to clients directly and become a trusted advisor in the process. Above all else, you should be highly self-motivated and extremely curious to learn more Sumo Logic and the vast problems that it can solve. Responsibilities Partner with the Account Executives / Account Managers to understand customer challenges and mains, and articulate Sumo Logic’s value proposition, vision, and strategy to customers Technically close complex opportunities through advanced competitive knowledge, technical skill, and credibility Understand and help orchestrate all phases of the sales cycle, including leading technical validations during the Proof of Value phase Be successful working with all levels of an organization, from executives down to individual developers and Site Reliability Engineers Deliver product and technical demonstrations of the Sumo Logic service Work cross functionally with Product Management and Engineering to improve the Sumo Logic service based on your experience with customers Requirem

This role begins at Tier 0, where agents ramp up to Tier 1 readiness over their first few weeks. The Tier 0 Support Agent independently handles a broad range of contributor support issues, including moderately complex and nuanced cases requiring sound judgment, investigation, and clear communication. This role works cross-functionally to ensure contributors receive accurate, timely, and thoughtful support while helping identify opportunities to improve workflows and documentation. This role is well-suited for experienced support professionals who are comfortable operating autonomously and navigating ambiguity in a fast-paced environment. You Will: Resolve routine and moderately complex contributor inquiries across email and chat support channels using established workflows and best judgment. Communicate clearly, empathetically, and professionally. Document investigations, actions taken, and resolutions thoroughly in Zendesk or equivalent systems. Identify issues outside the tier’s scope and escalate with clear context and documentation. Contribute feedback on workflows, macros, or documentation to improve efficiency and contributor experience. Stay current on relevant process and product updates through the provided resources. Ideally You'd Have: Prior experience in high-volume customer support, platform support, or similar. Experience working remotely, with demonstrated ability to manage work independently and prioritize tasks without direct supervision. Strong written and verbal English communication skills, with the ability to communicate clearly and professionally. Familiarity with customer service SaaS tools, Slack, and Google Workspace. Working Model & Tools: This is an independent contractor role, responsible for providing agreed-upon services and deliverables for an estimated six-month term. Continued engagement or potential conversion to full-time employment may be considered at the company’s discretion, based on performance and business needs. Company

Scale AI is the data foundation for AI, helping organizations build and deploy reliable production AI applications. We partner with leading enterprises and government organizations to accelerate their AI initiatives through our data annotation platform, generative AI solutions, and enterprise AI capabilities. About the General Agents Team The General Agents team, part of Scale’s Enterprise organization, builds robust general agents for customer use cases and applications. The team sits at the intersection of frontier agent development and real-world deployment, translating state-of-the-art reasoning and agentic capabilities into reliable, production-grade systems that drive real economic value. Our agents are scalable systems built around recurring enterprise problem domains, with a strong emphasis on generalization, extensibility, and deployment across many customers. About the Role As a Senior/Staff Machine Learning Engineer (MLE) on the General Agents team, you’ll play a critical role in designing, building, and deploying production-ready AI agents that solve high-impact enterprise problems. You will work across the full agent lifecycle—from model and system design to evaluation, deployment, and iteration—bridging cutting-edge agentic techniques with the constraints and requirements of real customer environments. You will: Design and implement end-to-end agent systems that combine LLM reasoning, tool use, memory, and control logic to solve recurring enterprise use cases. Build scalable, reliable agent architectures that can be deployed across many customers with varying data, tools, and constraints. Develop evaluation frameworks, datasets, environments, and metrics to measure agent performance, reliability, and business impact in production settings. Collaborate closely with product managers, customers, data annotators, and other engineering teams to translate enterprise requirements into robust agent designs. Productionize frontier agent techniques (e.g.,

About the Team Data is at the foundation of DoorDash success. The Data Engineering team builds database solutions for various use cases including reporting, product analytics, marketing optimization and financial reporting. By implementing pipelines, data structures, and data warehouse architectures; this team serves as the foundation for decision-making at DoorDash. About the Role DoorDash is looking for a Softare Engineer II to be a technical powerhouse to help us scale our data infrastructure, automation and tools to meet growing business needs. You're excited about this opportunity because you will… Work with business partners and stakeholders to understand data requirements Work with engineering, product teams and 3rd parties to collect required data Design, develop and implement large scale, high volume, high performance data models and pipelines for Data Lake and Data Warehouse Develop and implement data quality checks, conduct QA and implement monitoring routines Improve the reliability and scalability of our ETL processes Manage a portfolio of data products that deliver high-quality, trustworthy data Help onboard and support other engineers as they join the team We're excited about you because… 3+ years of professional experience working in data engineering, business intelligence, or a similar role You have proficiency in using AI coding tools (e.g., Claude Code, Codex, Cursor) in the full software development lifecycle, including designing, generating code, testing, monitoring and releasing software Proficiency in programming languages such as Python/Java 3+ years of experience in ETL orchestration and workflow management tools like Airflow, Flink, Oozie and Azkaban using AWS/GCP Expert in Database fundamentals, SQL and distributed computing 3+ years of experience with the Distributed data/similar ecosystem (Spark, Hive, Druid, Presto) and streaming technologies such as Kafka/Flink. Experience working with Snowflake, Redshift, PostgreSQL and/or other DBMS

About the Team Data is at the foundation of DoorDash success. The Data Engineering team builds database solutions for various use cases including reporting, product analytics, marketing optimization and fi nancial reporting. Team serves as the foundation for decision-making at DoorDash. About the Role DoorDash is looking for a Sta ff Software Engineer,Data to be a technical lead and help architect and scale our data reliability, data infrastructure, automation and tools to meet growing business needs. You’re excited about this opportunity because you will... Own critical data systems that support multiple products/teams Develop, implement and enforce best practices for data infrastructure and automation Design, develop and implement large scale, high volume, high performance data models and pipelines for Data Lake and Data Warehouse Improve the reliability and scalability of our Ingestion, data processing, ETLs, Reporting tools and data ecosystem services Manage a portfolio of data products that deliver high-quality, trustworthy data Help onboard and support other engineers as they join the team We’re excited about you because... 8+ years of professional experience as a hands-on engineer and technical leader leading multiple projects 6+ years experience working in data platform and data engineering or a similar role You have proficiency in using AI coding tools (e.g., Claude Code, Codex, Cursor) in the full software development lifecycle, including designing, generating code, testing, monitoring and releasing software Pro fi ciency in programming languages such as Python/Kotlin/Scala 4+ years of experience in ETL orchestration and work fl ow management tools like Air fl ow Expert in database fundamentals, SQL, data reliability practices and distributed computing 4+ years of experience with the Distributed data/similar ecosystem (Spark, Presto) and streaming technologies such as Kaa/Flink/Spark Streaming Excellent communication skills and experience working

About the Team DoorDash is a data driven organization and relies on timely, accurate and reliable data to drive many business and product decisions. Data is at the foundation of DoorDash success. The Data Engineering team builds database solutions for various use cases including reporting, product analytics, marketing optimization and financial reporting. By implementing data structures and data warehouse architecture, this team serves as the foundation for decision-making at DoorDash. The focus extends to enhancing the developer experience by creating tools that support the organization's high-velocity demands. To lead the growing team of Data engineers we are looking for managers who are passionate about Data and are thought leaders in coaching, guiding and leading teams to make Data a winning edge for DoorDash. About the Role DoorDash is looking for a Data Engineering Manager to guide the development of enterprise-scale data solutions. This manager will also act as a technical expert on all things related to data architecture to empower the greater community of data engineers, data scientists, and DoorDash partners. Your focus extends to fostering an engineering culture of excellence, empowering engineers to deliver reliable, flexible solutions at scale. Additionally, you'll play a pivotal role in building and nurturing a top-performing team, driving innovation and success in a dynamic, fast-paced environment. You must be located in San Francisco, CA, Sunnyvale, CA, or Seattle, WA for this hybrid position. You’re excited about this opportunity because you will… You are a people leader. You thrive in hiring, building, growing and nurturing impactful business focused data teams You are a technology leader. You drive the technical and strategic vision for the embedded pods and foundational enablers to meet current and future needs for scale and interoperability You strive for continuous improvement of data architecture and development process You think of quick wins

About the Team Data is at the foundation of DoorDash success. The Data Engineering team builds database solutions for various use cases including reporting, product analytics, marketing optimization and financial reporting. By implementing pipelines, data structures, and data warehouse architectures; this team serves as the foundation for decision-making at DoorDash. About the Role DoorDash is looking for a Senior Data Engineer to be a technical powerhouse to help us scale our data infrastructure, automation and tools to meet growing business needs. This is a hybrid position and you must be located in Sunnyvale, San Francisco, or Seattle. You're excited about this opportunity because you will... Work with business partners and stakeholders to understand data requirements Work with engineering, product teams and 3rd parties to collect required data Design, develop and implement large scale, high volume, high performance data models and pipelines for Data Lake and Data Warehouse Develop and implement data quality checks, conduct QA and implement monitoring routines Improve the reliability and scalability of our ETL processes Manage a portfolio of data products that deliver high-quality, trustworthy data Help onboard and support other engineers as they join the team We're excited about you because... 5+ years of professional experience 3+ years experience working in data engineering, business intelligence, or a similar role Proficiency in programming languages such as Python/Java 3+ years of experience in ETL orchestration and workflow management tools like Airflow, Flink, Oozie and Azkaban using AWS/GCP Expert in Database fundamentals, SQL and distributed computing 3+ years of experience with the Distributed data/similar ecosystem (Spark, Hive, Druid, Presto) and streaming technologies such as Kafka/Flink. Experience working with Snowflake, Redshift, PostgreSQL and/or other DBMS platforms Excellent communication skills and experience working with technical and non-tec

About the Team The Support Quality team’s vision is to “Provide teammates, team leads, and AI Agents with actionable feedback on 100% of cases so they can get 1% better every day. Deliver actionable business insight to wider S&O to help improve business policy and processes / Product teams to increase our customer experience.” About the Role You will report to the Director, Teammate Enablement, in our Customer Experience organization. The Teammate Enablement Team is responsible for ensuring that our Teammates have the resources (tooling, quality measurements, and knowledge base) and training to effectively and empathetically support DoorDash’s customers. Where opportunities are identified, we drive feedback to our business partners in order to empower Teammates to be 1% better every day for our customers. The team’s primary role will be to: i) build automated QA metrics that have high coverage, precision, and low false-positive rates; ii) support all manual QA efforts, including incubation and scale-up of new measurements; iii) deliver actionable insights to our partner teams to help improve the processes and policies on our support experience, as well as insights for our vendors to drive better agent performance management; and iv) manage our QA tech providers to ensure they deliver against our ambitious roadmap. This is a leadership role, with the expectation of managing the priorities of a small team while remaining accountable to key initiatives oneself. You’re excited about this opportunity because you will… Lead a small team centered around identifying and fixing top opportunities in our quality assurance programs that support customer service at DoorDash. Design, launch, and evolve our conversational intelligence program, utilizing AI technology to monitor, measure, and drive continuous improvements in our customer service interactions. Drive the strategy of our quality assurance program, identifying the right strategies to balance manual quality assuranc