Retail Service Associate Jobs

At Bloomerang, we believe change happens on purpose. We champion the power and potential of nonprofits, igniting next-level impact with the team and technology built for purpose. Our powerful giving platform and stellar support enable tens of thousands of nonprofits to raise more, recruit more, and retain more, fueling maximum impact and raising the bar on what’s possible for the nonprofit sector. That's why, even as the nonprofit sector sees declines in giving, Bloomerang customers raise more year over year. We're also in the business of creating thriving employees. Join a mission-driven culture built on our core values of Simplify, Care and Act. We know our people are the key to our success, and we're proud to be home to some of the most innovative and skilled individuals in the workforce today. Come feel invigorated and unstoppable with us! The Role As an Outbound Business Development Representative (BDR), you will play a critical role in generating new business opportunities for Bloomerang by identifying, engaging, and qualifying potential nonprofit customers who may not be actively looking for a new solution. You will be creating demand where none exists with key decision-makers and setting up qualified meetings for our Account Executives. This role requires resilience, creativity, and the ability to keep focused when you receive rejection. Success comes from your ability to thrive in a fast-paced environment, think strategically and personalize your outreach. If you are passionate about sales, and want to make a difference in the nonprofit sector, this role is for you! What You Will Do Master Bloomerang’s Product & Value: Become an expert on how Bloomerang’s fundraising, donor, and volunteer management solutions transform nonprofits to help them achieve their mission. You’ll need to quickly articulate value to busy decision-makers. Prospect & Engage: Break into cold accounts through research and strategically engaging decision makers thro

P-1416 Our mission at Databricks is to radically simplify the whole data lifecycle from ingestion to ETL, BI, and all the way up to ML/AI with a unified platform. To achieve this goal, we believe the data warehouse architecture as we know it today will be replaced by a new architectural pattern, Lakehouse ( CIDR 2021 paper ), open platforms that unify data warehousing and advanced analytics. This new architecture will help address several major challenges, including data staleness, reliability, total cost of ownership, data lock-in, and limited use-case support. To achieve this vision, Databricks is building the next generation (decoupled) query engine and structured storage system that can outperform specialized data warehouses in relational query performance. Yet we will retain the expressiveness and robustness of general purpose systems such as Apache Spark™ to support diverse workloads ranging from ETL to data science. You will be part of this multi-year journey. As part of this team, you will design these next-generation systems that leapfrog state-of-the-art within the following areas: Query compilation and optimization Distributed query execution and scheduling Vectorized execution engine Data security Resource management Transaction coordination Efficient storage structures (encodings, indexes) Automatic physical data optimization The responsibilities you will have: Drive requirements clarity and design decisions for ambiguous problems Produce technical design documents and project plans Develop new features Mentor more junior engineers Test and rollout to production, monitoring. What we look for: A passion for database systems, storage systems, distributed systems, language design, or performance optimization Are comfortable working towards a multi-year vision with incremental deliverables Be customer-oriented and focused on having an impact 7+ years of experience working in a related system Optional: PhD in databases or distributed systems About Dat

P-1415 Our mission at Databricks is to radically simplify the whole data lifecycle from ingestion to ETL, BI, and all the way up to ML/AI with a unified platform. To achieve this goal, we believe the data warehouse architecture as we know it today will be replaced by a new architectural pattern, Lakehouse ( CIDR 2021 paper ), open platforms that unify data warehousing and advanced analytics. This new architecture will help address several major challenges, including data staleness, reliability, total cost of ownership, data lock-in, and limited use-case support. To achieve this vision, Databricks is building the next generation (decoupled) query engine and structured storage system that can outperform specialized data warehouses in relational query performance. Yet we will retain the expressiveness and robustness of general purpose systems such as Apache Spark™ to support diverse workloads ranging from ETL to data science. You will be part of this multi-year journey. As part of this team, you will design these next-generation systems that leapfrog state-of-the-art within the following areas: Query compilation and optimization Distributed query execution and scheduling Vectorized execution engine Data security Resource management Transaction coordination Efficient storage structures (encodings, indexes) Automatic physical data optimization The responsibilities you will have: Drive requirements clarity and design decisions for ambiguous problems Produce technical design documents and project plans Develop new features Mentor more junior engineers Test and rollout to production, monitoring. What we look for: A passion for database systems, storage systems, distributed systems, language design, or performance optimization Are comfortable working towards a multi-year vision with incremental deliverables Be customer-oriented and focused on having an impact 5+ years of experience working in a related system Optional: PhD in databases or distributed systems About Dat

P-1414 Our mission at Databricks is to radically simplify the whole data lifecycle from ingestion to ETL, BI, and all the way up to ML/AI with a unified platform. To achieve this goal, we believe the data warehouse architecture as we know it today will be replaced by a new architectural pattern, Lakehouse ( CIDR 2021 paper ), open platforms that unify data warehousing and advanced analytics. This new architecture will help address several major challenges, including data staleness, reliability, total cost of ownership, data lock-in, and limited use-case support. To achieve this vision, Databricks is building the next generation (decoupled) query engine and structured storage system that can outperform specialized data warehouses in relational query performance. Yet we will retain the expressiveness and robustness of general purpose systems such as Apache Spark™ to support diverse workloads ranging from ETL to data science. You will be part of this multi-year journey. As part of this team, you will design these next-generation systems that leapfrog state-of-the-art within the following areas: Query compilation and optimization Distributed query execution and scheduling Vectorized execution engine Data security Resource management Transaction coordination Efficient storage structures (encodings, indexes) Automatic physical data optimization The responsibilities you will have: Drive requirements clarity and design decisions for ambiguous problems Produce technical design documents and project plans Develop new features Mentor more junior engineers Test and rollout to production, monitoring. What we look for: A passion for database systems, storage systems, distributed systems, language design, or performance optimization Are comfortable working towards a multi-year vision with incremental deliverables Be customer-oriented and focused on having an impact 5+ years of experience working in a related system Optional: PhD in databases or distributed systems About Databricks

Our mission at Databricks is to radically simplify the whole data lifecycle from ingestion to ETL, BI, and all the way up to ML/AI with a unified platform. To achieve this goal, we believe the data warehouse architecture as we know it today will be replaced by a new architectural pattern, Lakehouse ( CIDR 2021 paper ), open platforms that unify data warehousing and advanced analytics. The new architecture will help address several major challenges, including data staleness, reliability, total cost of ownership, data lock-in, and limited use-case support. A critical part of realizing this vision is the next generation (decoupled) query engine and structured storage system that can outperform specialized data warehouses in relational query performance, yet retain the expressiveness and of general purpose systems such as Apache Spark™ to support diverse workloads ranging from ETL to data science. As part of this team, you will be working in one or more of the following areas to design and implement these next gen systems that leapfrog state-of-the-art: Query compilation and optimization Distributed query execution and scheduling Vectorized execution engine Data security Resource management Transaction coordination Efficient storage structures (encodings, indexes) Automatic physical data optimization What we look for: A passion for database systems, storage systems, distributed systems, language design, or performance optimization Experience working towards a multi-year vision with incremental deliverables Motivated by delivering customer value and impact 5+ years of experience working in a related system (preferred) Optional: PhD in databases or distributed systems Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based

P-188 Our mission at Databricks is to radically simplify the whole data lifecycle from ingestion to ETL, BI, and all the way up to ML/AI with a unified platform. To achieve this goal, we believe the data warehouse architecture as we know it today will be replaced by a new architectural pattern, Lakehouse ( CIDR 2021 paper ), open platforms that unify data warehousing and advanced analytics. The new architecture will help address several major challenges, including data staleness, reliability, total cost of ownership, data lock-in, and limited use-case support. A critical part of realizing this vision is the next generation (decoupled) query engine and structured storage system that can outperform specialized data warehouses in relational query performance, yet retain the expressiveness and of general purpose systems such as Apache Spark™ to support diverse workloads ranging from ETL to data science. As part of this team, you will be working in one or more of the following areas to design and implement these next gen systems that leapfrog state-of-the-art: Query compilation and optimization Distributed query execution and scheduling Vectorized execution engine Data security Resource management Transaction coordination Efficient storage structures (encodings, indexes) Automatic physical data optimization What we look for: A passion for database systems, storage systems, distributed systems, language design, or performance optimization Experience working towards a multi-year vision with incremental deliverables Motivated by delivering customer value and impact 8+ years of experience working in a related system (preferred) Optional: PhD in databases or distributed systems Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are

P-188 Our mission at Databricks is to radically simplify the whole data lifecycle from ingestion to ETL, BI, and all the way up to ML/AI with a unified platform. To achieve this goal, we believe the data warehouse architecture as we know it today will be replaced by a new architectural pattern, Lakehouse ( CIDR 2021 paper ), open platforms that unify data warehousing and advanced analytics. The new architecture will help address several major challenges, including data staleness, reliability, total cost of ownership, data lock-in, and limited use-case support. A critical part of realizing this vision is the next generation (decoupled) query engine and structured storage system that can outperform specialized data warehouses in relational query performance, yet retain the expressiveness and of general purpose systems such as Apache Spark™ to support diverse workloads ranging from ETL to data science. As part of this team, you will be working in one or more of the following areas to design and implement these next gen systems that leapfrog state-of-the-art: Query compilation and optimization Distributed query execution and scheduling Vectorized execution engine Data security Resource management Transaction coordination Efficient storage structures (encodings, indexes) Automatic physical data optimization What we look for: A passion for database systems, storage systems, distributed systems, language design, or performance optimization Experience working towards a multi-year vision with incremental deliverables Motivated by delivering customer value and impact 8+ years of experience working in a related system (preferred) Optional: PhD in databases or distributed systems Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are

P-97 Our mission at Databricks is to radically simplify the whole data lifecycle from ingestion to ETL, BI, and all the way up to ML/AI with a unified platform. To achieve this goal, we believe the data warehouse architecture as we know it today will be replaced by a new architectural pattern, Lakehouse ( CIDR 2021 paper ), open platforms that unify data warehousing and advanced analytics. The new architecture will help address several major challenges, including data staleness, reliability, total cost of ownership, data lock-in, and limited use-case support. A critical part of realizing this vision is the next generation (decoupled) query engine and structured storage system that can outperform specialized data warehouses in relational query performance, yet retain the expressiveness and of general purpose systems such as Spark™ to support diverse workloads ranging from ETL to data science. As part of this team, you will be working in one or more of the following areas to design and implement these next gen systems that leapfrog state-of-the-art: Query compilation and optimization Distributed query execution and scheduling Vectorized execution engine Data security Resource management Transaction coordination Efficient storage structures (encodings, indexes) Automatic physical data optimization What we look for: A passion for database systems, storage systems, distributed systems, language design, or performance optimization Experience working towards a multi-year vision with incremental deliverables Motivated by delivering customer value and impact 5+ years of experience working in a related system (preferred) Optional: PhD in databases or distributed systems Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based o

About the job Lead the team making high-speed connections and power delivery reliable across Graphcore’s AI compute hardware. You’ll help specialists shape requirements, design margins and acceptance criteria across silicon, package, PCB and system boundaries. Your team’s constraints and verification evidence will help design owners make informed trade-offs before problems become harder to resolve. You’ll line-manage engineers, shape their development, agree achievable delivery commitments, and plan for tools, licences and compute capacity. You’ll coordinate analysis and hardware correlation, ensuring discrepancies receive specialist attention and integrity issues reach review and closure. The methods and knowledge your team builds will outlast individual designs, strengthening how Graphcore approaches future signal and power challenges. Grow your leadership across interconnected engineering disciplines, combining people development with judgement that influences hardware from architecture to bring-up. The team and culture Signal and power integrity specialists retain technical ownership, rather than relying on one person to solve every problem. You’ll connect their work with design, firmware, test, bring-up and manufacturing colleagues. Programme management owns the integrated plan. You’ll raise capacity conflicts early, bring practical options and make delivery confidence visible. Decisions depend on evidence, documented assumptions and proportionate peer review. You’ll encourage challenge, seek specialist input when needed and escalate unresolved disagreements before they hold work back. What we’re looking for People leadership that develops engineers, sets expectations and addresses difficult performance issues, with readiness for formal line management. Strong engineering foundations and experience in signal or power integrity, with sufficient understanding of the other discipline to challenge approaches. Experience coordinating specialist engineering delivery,

At ClickUp, we're building the future of work: the first truly converged AI workspace unifying tasks, docs, chat, calendar, and enterprise search, all supercharged by context-driven AI. We are an AI-native company. Every team member is expected to leverage AI daily, and we evaluate AI fluency as part of our hiring process. Join us and help redefine what's possible. 🚀 You’ll be a hands-on sales leader who can coach in the moment, raise performance standards, and turn operating rigor into better customer outcomes. You’ll partner closely with Growth, Marketing, Operations, and Product to improve how the region creates pipeline, runs deals, and delivers a consistently strong customer experience. Mission Build and lead a high-performing commercial sales organization across EMEA that consistently turns pipeline into durable revenue while raising the bar on coaching, operational discipline, and customer value. What You’ll Own Lead, coach, and develop a team of Account Executives focused on the commercial segment across the UK and EMEA Drive pipeline generation, deal execution, and consistent attainment of regional revenue targets Build a strong operating cadence around forecasting, pipeline inspection, deal reviews, and rep development Hire, ramp, and retain high-performing talent while creating an ambitious, inclusive, and motivating team culture Improve sales process scalability through better use of data, performance metrics, and repeatable best practices Partner closely with Growth, Marketing, Operations, and Product to improve conversion, support key accounts, and remove friction in the customer journey Lead with a customer-first approach and reinforce high standards for thoughtful, value-based selling Report on performance, pipeline health, forecast accuracy, and improvement opportunities to senior leadership Required Qualifications Significant experience leading SaaS sales teams in a commercial or mid-market motion Strong knowledge of selling into UK and broader EM

Become a part of our caring community The Application Portfolio Architect evaluates application portfolios to support mergers, acquisitions, divestitures, and strategic partnerships across the healthcare enterprise. You will assess business and technical fit. It identifies functional overlap and capability gaps. You will define integration and rationalization strategies that align acquired technologies with existing application landscape, operating model, and regulatory obligations. This position partners with business leaders, product teams, enterprise architecture, cybersecurity, infrastructure, data teams, and integration partners to support pre-acquisition due diligence and post-close integration planning. We are looking for experience in healthcare technology ecosystems, application rationalization, cloud and integration patterns, and regulatory considerations such as HIPAA, privacy, and data governance. The Application Portfolio Architect evaluates application portfolios to support mergers, acquisitions, divestitures, and strategic partnerships across the healthcare enterprise. Begins to influence department's strategy. Makes decisions on moderately complex to complex issues regarding technical approach for project components, and perform work without direction. Exercise considerable latitude in determining goals and approaches to assignments. Key Responsibilities Lead application portfolio assessments and technology due diligence for acquisitions and strategic projects. Evaluate applications and platforms for business value, technical fit, integration complexity, security, scalability, cloud readiness, and technical debt. Develop portfolio rationalization strategies, including recommendations to retain, retire, replace, consolidate, modernize, or integrate applications. Define target-state architecture and in

Data Platform & Analytics Manager – Millennium Space Systems Company: Millennium Space Systems Millennium Space Systems, a part of Boeing Defense, Space and Security (BDS), is a fast, agile small satellite company focused on national security space. Our missions have direct impact to global security, like missile warning and Earth observation. Our team is curious, bold and innovative. We take risks, innovate and explore new techniques and technologies. We influence change because we challenge the status quo. And when we watch our satellites launch, we know each one of us made it happen. Job Summary: The Data Platform & Analytics Manager is responsible for managing a team of experienced data engineers, scientists, and analysts. Develops and executes project and process plans, implements policies and procedures and sets operational goals. Acquiring resources for projects and processes provides technical management of suppliers and leads process improvements. Develops and maintains relationships and partnerships with customers, stakeholders, peers, partners and direct reports. Provides vision, oversight, and approval of technical approaches, products and processes. Manages, develops and motivates employees. This is an onsite role in our office in El Segundo, CA. This position’s internal job code is Data Science & Analytics Manager. Our team is currently hiring for a level K. Position Responsibilities: Team Leadership - Recruit, coach, and retain a high-performing team of data platform architects, data scientists, analytics/ML engineers, and BI analysts Enterprise Data Platform Ownership - Serve as technical authority for the data platform systems Process & Del

Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career. About the team Stripe’s Accounting Products team is building modern infrastructure for the Office of the CFO. Our vision is to give finance teams, and the agents that support them, one reconciled and explainable presentation of financial truth. Today, the data and context required to make accounting decisions are fragmented across billing systems, contracts, spreadsheets, general ledgers, and the minds of the people doing the work. Finance teams spend significant time reconstructing what happened, determining the appropriate accounting treatment, reconciling results, and gathering evidence. Giving an agent access to the underlying data is not enough: it also needs the business context, accounting policies, approved judgments, and guardrails required to act reliably. Revenue Recognition is our first major proof point. Stripe has a unique opportunity to help Billing and Metronome users turn complex revenue activity—including usage-based pricing, minimum commitments, credits, and contract modifications—into accurate, explainable journal entries. Our ambition is for agents to take on the investigation, configuration, and repetitive work while accountants retain control over consequential judgments and approvals. Over time, we expect to expand into additional Office of the CFO workflows, and we are looking for a Staff Product Manager to help turn this vision into products that finance teams trust. This is a senior individual contributor role with significant ow

Are you a person who likes to work in a fast-paced organization? NVIDIA is the world leader in Visual Computing. We are passionate about four markets: Gaming, Automotive, Enterprise Graphics and HPC/Cloud Datacenters; in addition to our traditional OEM business. We are well positioned as the ‘AI Computing Company’, and our GPUs are the brains powering modern Deep Learning software frameworks, accelerated analytics, big data, modern data centers, smart cities, and driving autonomous vehicles. We have some of the most forward-thinking and talented people on the planet working for us. If you're forward-thinking, hardworking, driven and if working with extraordinary people across countries sounds interesting, this job is for you. We are now looking for a Human Resources Business Partner to provide HR support onsite in Santa Clara, CA for our Worldwide Field Organization in a dynamic and collaborative environment. This is a global organization, and we are looking for someone to be passionate about supporting and building strategies to enable NVIDIA to achieve success. You’ll partner with a cross-functional group of subject matter experts to design and execute strategies for how we staff, onboard, develop, motivate, retain and organize work. You will need excellent communication skills, critical thinking and planning ability, and the agility to function in a fast paced and innovative environment. What you'll be doing: This position will be an integral enabler of the mission of our Field organization. In this position you will work with the senior leaders and leadership teams within NVIDIA organizations to develop and execute the HR strategies that champion organizational and people effectiveness. You will think strategically as well as roll up your sleeves and dive deep into practical application. You must understand business priorities and translate them into an HR ag

Our Global Structure Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we’re unlocking new possibilities as one global team. Corporate Account Manager Join us in our mission to transform the way people shop and eat, where impact, innovation, and growth drives everything we do. Our Commercial team sits at the centre of Deliveroo’s marketplace—shaping how we serve restaurants, grocers, and new verticals worldwide. From negotiating key partnerships to unlocking new revenue streams and crafting data-led growth strategies, we take on big challenges that move the business forward. If you thrive in fast-paced, commercial environments and want to influence the future of a global brand—this is the team for you. We’re looking for a Corporate Account Manager to join our London team. This is a hybrid role. In this role, you’ll help us develop and grow a portfolio of key corporate accounts, using data-driven insights to solve workplace problems, retain revenue, and accelerate market expansion. Get to know our Commercial team — what drives us, how we work, and what you can expect. https://careers.deliveroo.co.uk/the-commercial-team/ What You’ll Be Doing You’ll be joining the Deliveroo for Work (DfW) team. We are the dedicated B2B arm of Deliveroo, helping businesses—from tech startups to global law firms—manage their corporate catering, late-night team meals, and employee food perks through a centralized platform. Here’s what your day-to-day might look like: Portfolio Management: Nurture high-value corporate accounts across the UK, building deep relationships with decision-makers while tracking key usage metrics to identify trends, mitigate risks, and maximize revenue retention. Strategic Value Creation: Translate commercial data and client behavior insights into tailored account expansion strategies, uncoverin