The Rundown AI, Inc.

People.ai is an AI-powered foundational data platform that helps customers unlock go-to-market success & growth by providing teams with solutions built specifically for their needs. Providing enhanced pipeline visibility, more actionable insights, and a single source of truth for all sales activities. People.ai's unique dataset, consisting of trillions of sales activities, millions of deals, 160 million business contacts, and 69 approved patents related to AI-based business insights, sets the company apart. Companies such as Verizon, Red Hat, and Palo Alto Networks rely on their enterprise-ready, patented AI technology. At People.ai, we believe that people enrich the world around them in countless ways. We believe that the more time they spend applying their creativity, resourcefulness, and critical thinking to activities that matter most in their professional life, the more effective a professional they become. Our team is a diverse, outspoken group of creatives and critical thinkers, hyper-focused on driving change and growth. We embrace "different". We applaud non-traditional career paths. We're inspired by people who have made processes their own. As a Senior Software Engineer on the XCore team, you will work on one of the most impactful projects at People.ai - Forecasting. You will be building and evolving a live product with active daily users, working closely with the business team and customers through discovery and exploration calls. You will have a direct impact on company revenue by defining and delivering features grounded in real customer feedback. Your work will directly influence how customers plan, forecast outcomes, and make critical business decisions. In addition, you will collaborate across Engineering and R&D teams to enhance core Admin Platform services such as authentication, users, settings, and configurations. You will leverage customer insights and data analysis to design and build high-performance, low-latency systems and APIs that scale efficiently while improving our operational costs. We value ownership highly - the ability to take an idea through all the stages from conception to shipping a product. This reflects throughout our company, but is especially true in engineering. As an engineer at People.ai, you'll be a part of a highly independent and autonomous team. Since we're building out a robust data layer that needs to be presented elegantly to the end-user, you'll be working with a large array of different technologies and fields. Expect lots of interesting challenges. Responsibilities: Take ownership of projects. From requirements gathering, through design, implementation and testing, to monitoring and maintenance throughout the tech stack. Collaborate within the team, with other engineering teams and cross-functionally to enhance our users' experience. Follow software design and development best practices and promote such practices in the team. Document design choices and operational knowledge to successfully deploy and run services. Ensure code accuracy and efficiency with appropriate test coverage, integration testing and load testing. Ensure robust alerting, dashboards, and runbooks for production services are in place. Requirements: 7+ years of professional experience working on backend systems in an enterprise environment 2+ years experience programming in Python 2.x/3.x or Scala or Java Experience with SOA, microservices, and event-driven architecture Experience with an enterprise-grade stack for scalable web apps, including messaging brokers, in-memory storage, and key-value databases Strong knowledge of TDD, Unit, and automated test paradigms Experience with SQL and RDBMS solutions Experience with containerized applications, Docker, and Kubernetes Possess a DevOps mindset, AWS experience is a plus Experience with LLMs is a plus Experience with large-scale data processing (Spark) is a plus Bachelor's Degree in Computer Science, Computer Engineering, or in a closely related discipline Headquartered in San Francisco, CA, People.ai is backed by Y Combinator and Silicon Valley's top investors, including ICONIQ Capital, Andreessen Horowitz, Lightspeed Venture Partners, Akkadian Ventures, and Mubadala Capital. People.ai is listed in the top 20 percent of Inc 5000 companies, is a regular leader in our key categories on G2, and is on the Forbes list of America's Best Startup Employers. For more information, please visit .

Overview At Databricks, we are passionate about helping data teams solve the world's toughest problems - from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers and dedicated to our customers, we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for working with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. The Impact You Will Have Work with a team to build features and improve architecture for the Databricks platform Develop and extend the Databricks product Own full software development lifecycle: design, development, testing, and operating in production Build solutions with a high level of reliability, scalability, and security. What We Look For You will graduate between fall 2025 and summer 2026 with a degree in Computer Science, Engineering, or related subject You have implementation skills with a general purpose program language, such as Python, Java, or C++ You have knowledge of algorithms, data structures, and OOP principles You have experience managing end-to-end projects We are hiring Software Engineer - New Grads across multiple offices. Please apply for the single location that you're the most interested in, and we will discuss more with you as you move through the process. We can only consider one application in 30 days. About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide - including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 - rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark , Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

A leading AI company headquartered in San Francisco is looking for a Senior Software Engineer to join their XCore team. In this role, you will be responsible for developing impactful features that drive revenue and enhance customer experience. The ideal candidate will have over 7 years of experience in backend systems, programming skills in Python or Java, and knowledge of microservices and TDD. This position offers the chance to work with a variety of technologies in a fast-paced environment.

A leading AI company in San Francisco is seeking a Senior Software Engineer to work on pivotal projects including forecasting. In this role, you'll shape product features based on customer feedback and collaborate across teams to enhance core services. The ideal candidate will have 7+ years of backend experience with strong knowledge of Python or Java, and a bachelor's degree in Computer Science. Join an innovative team where ownership and collaboration drive success.

What is Findem Findem is HR 2.0. We're a fast-growth startup with an ambitious vision and the technology to back it up. Our People Intelligence platform uses true AI and machine learning to provide critical solutions for talent acquisition and people analytics functions. With the deep insights that our platform provides, companies can build more engaged and diverse teams, and close their talent gaps faster. We have an amazing opportunity to establish ourselves as leaders in this space, and we need strong advocates to help us achieve that goal. Why We Need You We're backed by top-tier investors including Wing Venture Capital - the same firm that backed Snowflake, Cohesity, and Gong. Findem powers businesses across scaling, pre-IPO, and publicly traded companies who trust us to solve their biggest HR and Talent challenges. We have an incredibly skilled and collaborative team that values curiosity, diversity, openness and building great experiences every day for our customers. By joining Findem, you will have the unique opportunity to help define what the future of HR looks like for every business. Your Working Experience BS/MS or higher in Computer Science or a closely related technical field. Minimum 8-10 years of progressive experience in software engineering focused on backend and infrastructure. Proven technical leadership experience driving large-scale microservices implementations. Extensive experience optimizing backend systems performance, scalability, and reliability. Significant track record implementing infrastructure solutions leveraging Docker, MongoDB, TypeScript, and generative AI. Expert-level proficiency in designing and building infrastructure with TypeScript, MongoDB, Docker, and modern cloud technologies. Extensive knowledge of microservices architecture, container orchestration, and RESTful API development. Demonstrated expertise with performance engineering, reliability, scalability strategies, and generative AI. Deep understanding of Agile methodologies, CI/CD pipelines, observability, and monitoring tools. Outstanding leadership, problem-solving, and architectural decision-making capabilities. Benefits & Perks Competitive base compensation Equity grants that align your success with ours Unlimited PTO Generoushealthcare coveragefor you and your family Home office and productivity setup stipend Professional development budgetand executive coaching access We're an Equal Opportunity Employer We believe that a diverse team builds better solutions. We're committed to creating an inclusive environment for all employees and welcome candidates from all backgrounds, experiences, and perspectives. Ready to build something impactful and lead a team to success? Apply now and let's grow together.

A leading data and AI company is looking for recent graduates for a Software Engineer role in San Francisco. This position offers the chance to work on impactful projects in a collaborative environment, where you'll build infrastructure and products for a cutting-edge platform. Ideal candidates should have programming skills in Python, Java, or C++, along with a strong educational background in Computer Science or Engineering. Benefits include a comprehensive perks package tailored for employees.

A leading technology firm in Washington is seeking a Senior Software Engineer to design and build managed Kubernetes product offerings across diverse environments. Candidates should have 4+ years of experience in software development with a strong emphasis on operational excellence. A Bachelor's degree in Computer Science is required. This role values innovation and automation at scale and offers a competitive salary between $135,000 - $200,000 annually.

The Cloud Infrastructure team at Kumo is responsible for managing and scaling our Kubernetes-based, cloud-native AI platform across multiple cloud providers. They set service level objectives, optimize resource allocation, enforce security compliance, and drive cost efficiency for the Multi-Cloud Platform. As a key team member, you will architect and operate a highly scalable, resilient Kubernetes infrastructure to support massive Big Data and AI workloads. You'll design and implement advanced cluster management strategies, fleet capacity scaling, optimize workload scheduling, and enhance observability at scale. Your expertise in Kubernetes internals, networking, and performance tuning will be critical in ensuring high availability and seamless scaling. Joining early, you'll play a pivotal role in shaping platform reliability, automating infrastructure, and enabling ML engineers with efficient commit-to-production automation, Continuous Provisioning, CI/CD, ML Ops, and deployment orchestration and workflows. You'll collaborate with ML scientists, product engineers, and leadership to influence scaling strategies, develop self-service tooling, and drive multi-cloud resilience. Engineers at Kumo take ownership of core system design, building infrastructure that powers the next generation of AI applications. Key Responsibilities Design, build, and scale Kubernetes-based infrastructure to support Kumo's multi-cloud AI platform, ensuring high availability, resilience, and performance. Architect and optimize large-scale Kubernetes clusters, improving scheduling, networking (CNI), and workload orchestration for production environments. Develop and extend Kubernetes controllers and operators to automate cluster management, lifecycle operations, and scaling strategies. Enhance observability, diagnostics, and monitoring by building tools for real-time cluster health tracking, alerting, and performance tuning. Lead efforts to automate fleet management, optimizing node pools, autoscaling, and multi-cluster deployments across AWS, GCP, and Azure. Define and implement Kubernetes security policies, RBAC models, and best practices to ensure compliance and platform integrity. Collaborate with ML engineers and platform teams to optimize Kubernetes for machine learning workloads, ensuring seamless resource allocation for AI/ML models. Drive commit-to-production automation, cloud connectivity, and deployment orchestration, ensuring seamless application rollouts, zero-downtime upgrades, and global infrastructure reliability. Required Skills and Experience Kubernetes Mastery: 8-10+ years of experience managing large-scale Kubernetes clusters (EKS, GKE, AKS, or OpenSource) in production. Deep expertise in Kubernetes internals, including controllers, operators, scheduling, networking (CNI), and security policies. Cloud-Native Infrastructure: 8-10+ years of experience building cloud-native Kubernetes-based infrastructure across AWS, Azure, and GCP. Platform Engineering: 8-10+ years of experience building Kubernetes service meshes (Istio/Envoy, Traefik), networking policies (Calico/Tigera), and distributed ingress/egress control. Fleet Management & Scaling: Proven experience in optimizing, scaling, and maintaining Kubernetes clusters across multi-cloud environments, ensuring high availability and performance. Software Development: 8-10+ years of experience writing production-grade controllers and operators in Python, Go, or Rust to extend Kubernetes functionality. Infrastructure-as-Code & Automation: Hands-on experience with Terraform, CloudFormation, Ansible, BASH and Make scripting to automate Kubernetes cluster provisioning and management. Distributed Systems & SaaS: Expertise in building and operating large-scale distributed systems for cloud-native B2B SaaS applications running on Kubernetes. Cloud Application Deployment: Deep expertise in building of container orchestration, workload scheduling, and runtime optimizations using Kubernetes, Argo or Flux. Education: BS/MS in Computer Science or a related field (PhD preferred) Nice to Have Proficiency with cloud platforms such as AWS, GCP, or Azure. Familiarity with chaos engineering tools and practices for testing system resilience. Strong understanding of security best practices and compliance standards (GDPR, SOC2, ISO27001, vulnerability assessments, GRC, risk management). Contributions to open-source projects, particularly in the Kubernetes or cloud-native ecosystem. Expertise in Docker, Kubernetes, Jenkins, Flux, Argo, and Terraform in a Linux environment. Hands-on experience with monitoring and observability tools such as Prometheus and Grafana. Ability to develop customer-facing web frontends or public APIs/SDKs for platform services. Benefits Competitive salary and equity options. Comprehensive medical and dental insurance. An inclusive, diverse work environment where all employees are valued and supported. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

A leading data and AI platform company is seeking New Graduates for a Software Engineer position in San Francisco. You will contribute by building features and improving platform architecture while managing the full software development lifecycle. Ideal candidates will graduate between fall 2025 and summer 2026 with a degree in Computer Science or related fields, and should possess strong programming skills. This is a great opportunity to join a diverse team dedicated to tackling complex data challenges.

A World-Changing Company Palantir builds the world's leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more. The Role Substrate is the team responsible for Palantir's core production infrastructure - 100s of K8s clusters - from on-prem to the major cloud hyperscalers, whether they are internet-connected or air-gapped, small hardware footprint or large. As a Senior Software Engineer on Substrate, you will design and build Palantir's managed Kubernetes product offerings across all these environments. You and your team will be responsible for bootstrapping and operating the entire fleet of K8s clusters with zero manual steps by building industry leading tooling and contributing to core CNCF components. You will also be responsible for ensuring scale, stability and security across a matrix of compliance regimes and hosting infrastructure types. Your team culture emphasizes engineering rigor and operational excellence at scale. This means issues in production should be pre-empted and deeply root-caused, and investments in automation and self-healing systems are key. If you're excited about infrastructure at scale and working with Kubernetes, this is the right role for you. Core Responsibilities Deliver a container runtime to challenging new environment types - new clouds, on premise, edge devices Build automation and establish standards for operating K8s securely at scale with zero manual ops overhead Drive innovation through adoption of novel K8s features and CNCF tools, making upstream contributions as needed Design the next generation of Palantir's infrastructure through a deep understanding of internal systems and CNCF standards What We Value Systems programming experience with strong proficiency in golang, C/C++ or equivalent Working knowledge or hands on experience of infrastructure automation tools such as Terraform, ansible, puppet or K8s operators, and competent coding in Go, Java, or equivalent for the purposes of automation or scripting Deep familiarity with hardware and OS configurations, diagnostic tooling, networking nuts and bolts Deep familiarity with containers (Docker) and orchestration (Kubernetes) at scale Experience working with a cloud provider (AWS/Azure/GCE), or sysadmin/SRE experience in data centers Experience designing, building, and operating high-scale observability or infrastructure systems Working knowledge of networking fundamentals, experience with CNIs or cloud networking infrastructure preferred What We Require 4+ years of professional software development experience on core infrastructure with emphasis on operational excellence 2+ years of experience contributing to the system design or architecture (architecture, design patterns, reliability and scaling) of new and existing systems Bachelor's degree in Computer Science or equivalent Salary The estimated salary range for this position is estimated to be $135,000 - $200,000/year. Total compensation for this position may also include Restricted Stock units, sign-on bonus and other potential future incentives. Further note that total compensation for this position will be determined by each individual's relevant qualifications, work experience, skills, and other factors. This estimate excludes the value of any potential sign-on bonus; the value of any benefits offered; and the potential future value of any long-term incentives. Our benefits aim to promote health and wellbeing across all areas of Palantirians' lives. We work to continuously improve our offerings and listen to our community as we design and update them. The list below details our available benefits and some of the perks that can be enjoyed as an employee of Palantir Technologies. Benefits • Employees (and their eligible dependents) can enroll in medical, dental, and vision insurance as well as voluntary life insurance • Employees are automatically covered by Palantir's basic life, AD&D and disability insurance • Commuter benefits • Relocation assistance • Take what you need paid time off, not accrual based • 2 weeks paid time off built into the end of each year (subject to team and business needs) • 10 paid holidays throughout the calendar year • Supportive leave of absence program including time off for military service and medical events • Paid leave for new parents and subsidized back-up care for all parents • Fertility and family building benefits including but not limited to adoption, surrogacy, and preservation • Stipend to help with expenses that come with a new child • Employees can enroll in Palantir's 401k plan Life at Palantir We want every Palantirian to achieve their best outcomes, that's why we celebrate individuals' strengths, skills, and interests, from your first interview to your longterm growth, rather than rely on traditional career ladders. Paying attention to the needs of our community enables us to optimize our opportunities to grow and helps ensure many pathways to success at Palantir. Promoting health and well-being across all areas of Palantirians' lives is just one of the ways we're investing in our community. Learn more at Life at Palantir and note that our offerings may vary by region. In keeping consistent with Palantir's values and culture, we believe employees are "better together" and in-person work affords the opportunity for more creative outcomes. Therefore, we encourage employees to work from our offices to foster connectivity and innovation. Many teams do offer hybrid options (WFH a day or two a week), allowing our employees to strike the right trade-off for their personal productivity. Based on business need, there are a few roles that allow for "Remote" work on an exceptional basis. If you are applying for one of these roles, you must work from the state in which you are employed. If the posting is specified as Onsite, you are required to work from an office. If you want to empower the world's most important institutions, you belong here. Palantir values excellence regardless of background. We are proud to be an Equal Opportunity Employer for all, including but not limited to Veterans and those with disabilities. Palantir is committed to making the application and hiring process accessible to everyone and will provide a reasonable accommodation for those living with a disability. If you need an accommodation for the application or hiring process , please reach out and let us know how we can help.