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Why you'll LOVE Sagent: You could work anywhere. We know you are talented and looking for something inspiring and impactful. A place where you will make a difference and have a great time doing it! By choosing Sagent, you can be part of our mission to make loans and homeownership simpler and safer for all US consumers. Sagent powers servicers and consumers. You power Sagent! About the Opportunity: As a Senior Global Compensation Analyst SR (for US and India employees), you will play a key role in the day-to-day management of Sagent’s global compensation programs to attract and retain top talent while ensuring compliance with legal standards. Reporting to the Director of Total Rewards, this role will give you high visibility throughout the Company and the opportunity to be part of a growing FinTech organization. Experience managing compensation in US and India makes you an ideal candidate for the role! Our team will provide you with the best tools, resources and compensation to get the job done…and enjoy every minute of it. And if it couldn’t get any better….this role is Hybrid Your Day-to-Day at Sagent: Conduct Compensation Analysis: Evaluate job positions and determine classifications, exempt or non-exempt status, and salary ranges based on market data and internal equity. Job Evaluation and Classification: Prepare and manage job architecture and related documents, and salary ranges, ensuring alignment with organizational goals and compliance with federal and state laws. Policy Development: Plan, develop, and communicate compensation policies and procedures, including salary structures and variable pay. Advisory Role: Provide guidance to management&

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 a Senior Software Engineer (Technical Lead) at Bloomerang, you are the senior-most technical engineer on a delivery team and a key driver of the team’s technical success. You are a hands-on engineer who writes code, solves difficult problems, shapes technical direction, and helps the team consistently deliver high-quality software for the nonprofits we serve. This is an opportunity to help define what great engineering looks like in an AI-first world. AI is changing what individual engineers and entire teams can accomplish, and we're actively exploring how to use that leverage to build better software, automate the work around software development, and give our engineers more time to focus on the problems that matter. You'll be one of the technical leaders helping turn that opportunity into everyday engineering practice. You will own the technical outcomes for your team, partnering with Product, QA, and Engineering to turn ambiguous problems into practical solutions. You'll lead through technical excellence by mentoring engineers, raising the team's engineering standards, and using AI and a

Seven Research is a quantitative research and technology company that brings together exceptional people and state-of-the-art resources to solve complex problems in global markets. Our systematic approach combines technical rigor, creativity, and a focus on long-term performance. Our people are our core advantage. As we scale, we are building the infrastructure required to attract, hire, and retain exceptional talent in a highly competitive market. We are hiring a Technical Recruiter to help us identify, engage, and hire outstanding individuals across engineering and quantitative research, with a particular focus on building our campus recruiting, conference, and events strategy. About the Role This is a high-impact, high-ownership role at the center of Seven Research’s technical recruiting efforts. You will help build and manage the full recruiting lifecycle, including talent mapping, sourcing, candidate engagement, interview process management, event execution, and pipeline reporting. A major focus of this role will be developing Seven Research’s presence across top universities, technical programs, academic communities, conferences, and industry events. You will help design and execute a recruiting strategy that builds strong relationships with students, faculty, experienced candidates, and technical communities over time. This role is well suited for someone who understands the quantitative finance industry and can help us build our talent brand across both junior and senior candidate markets. You will work directly with leadership and partner closely with engineers, quantitative researchers, and other technical stakeholders to shape and execute our recruiting strategy. We are looking for someone who is passionate about building technical talent pipelines from the ground up. The ideal candidate can engage naturally with students and graduates from top engineering, mathematics, computer science, and quantitative programs, while also knowing how to attract, assess

GAQ127R143 Databricks is building the future of data and AI and world-class engineering requires world-class talent solutions. We are looking for a strategic, technical Compensation Lead to partner directly with our R&D founders, and Engineering VP leadership. In this role, you won't just execute traditional pay practices; you will design first-principles equity and cash strategies to attract, retain, and motivate the sharpest systems, platform, and AI engineers on the planet. Reporting to the Director of Compensation, you will bridge deep quantitative analysis with high-stakes executive advisory, ensuring our compensation philosophy reinforces an owner mindset across our core technology and product teams. The Impact you will have: Scope of the role • R&D Solutioning & Strategic Advisory (40%): Co-create custom incentive models, specialized technical compensation structures, and high-impact retention frameworks tailored specifically to hyper-competitive R&D skill sets. • Lifecycle Compensation Management (30%): Own the end-to-end execution of merit, refresh equity, and promotion cycles across global engineering cohorts, serving as the primary advisor for strategic executive hires and key retention scenarios. Build and leverage automation and AI solutions to efficiently support complex and nuanced cases. • Enterprise Framework Development (30%): Scale Databricks’ global compensation structure, refining market pricing models, pay-for-performance mechanics, and equity strategies. What you'll bring R&D Compensation Mastery • Technical Domain Depth: Deep understanding of the competitive landscape for core engineering, infrastructure, and AI/ML talent—including aggressive startup equity structures, tech-sector refresh strategies, and specialized software compensation models. • First-Principles Thinking: Ability to look beyond standard survey data to build custom, business-aligned compensation solutions from scratch. • Advanced Analytics: Mastery of Exc

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 Kailera, we are bold, authentic and committed to our mission of developing therapies that give people the power to transform their lives and elevate their overall health. Rooted in an entrepreneurial spirit and a team-oriented culture, we are working together to advance Kailera’s mission to advance novel therapies for obesity and related conditions. We are passionate about creating an inclusive workplace that promotes collaboration, integrity, and excellence. As we expand, we seek the most talented individuals with diverse backgrounds, cultures, perspectives, and experiences to join our team. What You’ll Do: Reporting to the Chief Technology Officer (CTO), the Vice President (VP), Global Supply Chain will lead Kailera's end-to-end clinical and commercial supply chain, ensuring patients and clinical sites receive a reliable, uninterrupted supply of both Investigational Medicinal Product (IMP) and commercial drug product. This leader will set the global supply strategy, build and develop a high-performing team, and establish strong, well-governed partnerships with external service providers. Working closely with CMC, Clinical, Regulatory, Quality, Commercial, and Corporate functions, the VP will ensure supply plans meet global quality and regulatory standards and scale with the company's growth. As a senior member of the Technical Operations leadership team, this individual will partner with the CTO to shape and sustain a culture of collaboration, accountability, and operational excellence. Required location: Waltham, MA (hub-based, onsite 3-4 days per week) OR Remote (home-based, onsite at a hub 1 week every other month). Responsibilities: Recruit, develop, and retain a strong global supply chain organization. Establish clear governance structures and performance metrics for tracking and reporting Manage performance of external partners, including packaging and labeling vendors, third-party logistics providers (3PLs), and distributors, API and

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