Cast a wider net — 10x your job applications¹

Who we are: BigID is an innovative tech startup that focuses on solutions for data security, compliance, privacy, and AI data management. We're leading the market in all things data: helping our customers reduce risk, drive business innovation, achieve compliance, build customer trust, make better decisions, and get more value from their data. We are building a global team passionate about innovation and next-gen technology. BigID has been recognized for: BigID Named Hot Company in Artificial Intelligence and Machine Learning at the Global InfoSec Awards Citizens JMP Cyber 66 List of Hottest Privately Held Cybersecurity Companies CRN 100 list named BigID as one of the 20 Coolest Identity Access Management and Data Protection Companies (3 years running) DUNS 100 Best Tech Companies to Work for Top 3 Big Data and AI Vendors to Watch' in the 2023 BigDATAwire Readers and Editors Choice Awards 2024 Inc. 5000 list for the 4th consecutive year! Shortlisted for the 2024 AI Awards in the category of Best Use of AI in Cybersecurity At BigID, our team is the foundation of our success. Join a people-centric culture that is fast-paced and rewarding: you’ll have the opportunity to work with some of the most talented people in the industry who value innovation, diversity, integrity, and collaboration. Who we seek: We’re looking for a Sr Customer Success Manager to join our growing team to cover our West region. Ideal candidates for this position are highly versed in the data domain and relish the challenge of navigating through complex organizational dynamics and producing every ounce of value from BigID’s platform. A successful candidate will have a penchant for identifying challenges and opportunities early and feel comfortable leading the effort to great results. This role reports to a Manager, Customer Success. What you’ll do: Deploy Standardized Engagement Models: Deploy standardized engagement models across customer assignments, ensuring clarity for both customers and internal teams. Promote Process & Best Practice Optimizations: Promote best practices, deploy playbooks, and processes to ensure consistency and scalability of BigID offerings, Challenges the customer and influences their strategic decision making, driving the case for change towards improved operational health. Customer Retention & Growth: Partners with customers to understand their business objectives, identifying opportunities and aligning BigID products and services to agreed-upon customer outcomes and account priorities. Leverages an understanding of the customer's needs and business objectives to identify opportunities where BigID can provide added value to maximize retention and minimize churn. Customer Relationship Management: Develops, maintains, and builds upon foundational relationships with key customer stakeholders and technical professionals to enable quality solution delivery and health, using partnerships with other account team leaders leading orchestration across internal/external stakeholders. Develops a trusted advisory role with customers, communicating upcoming product changes, enhancements, and serving as an internal voice of the customer. Risk Mitigation: Proactively identifies, monitors, and mitigates actual and potential blockers related to contract entitlements and mobilizes resources to address actual and potential blockers to ensure delivery of key outcomes related to customer retention and growth. What you’ll bring: 5+ years in Customer Success managing a portfolio of large enterprise accounts. Background in big data, privacy, data governance, or information security as either customer or vendor (ability to consult and lead customers a strong plus). Proven experience working in the West for at least 3 years. Fluency in English is required. Demonstrated ability to address customer needs and provide appropriate best practices. Proven track record of driving adoption and identifying/remediating risk to drive renewal, cross-sell and upsell. Deep understanding of value drivers in recurring revenue business models. Familiarity with on-premise and/or cloud data landscape. Outstanding interpersonal communication, customer relationship, and executive presentation skills. Excellent organization skills and ability to multitask in a fast-paced startup environment. Demonstrated analytical and problem-solving skills, particularly those that apply to a big data environment. BS/BA degree. Our Values: We look for people who embody our values - Care, Do,Try & Shine. Care - We care about our customers and each other Do - We do what it takes to make a positive impact Try - We try our best and we don’t give up Shine - We shine and make it our mission to always stand out The annual base salary range is $130,000 - $155,000. Actual salaries will vary and are based on a candidate’s qualifications, skills, and competencies. Salary is just one component of our Compensation Philosophy. Variable/Bonus Compensation & Equity Incentives align with individual and company performance. BigBenefits: 💻 Work from home with a global remote-first community 🏆 Global Culture Corner 🏝️ Flexible PTO and Quarterly Volunteer Days 💸 Equity Participation 🏥 100% employer-covered medical, dental, and vision options available to you 🐶 Additional insurance benefits like pet insurance and legal assistance 📚 Learning & Development Opportunities 💰 Fidelity Employer Sponsored 401K 📣 Robust DEI Program with several vibrant ERG communities 🍼 Paid Parental Leave #LI-Remote #LI-YD1 We’re committed to creating a culture of inclusion and equality – across race, gender, sexuality, and disability – where innovation and growth thrive, every voice is heard, and everybody belongs. Learn more about us here . Job Candidate Privacy Notice Must be able to exercise independent judgment with little or no oversight. BigID is an E-Verify Participant.

Our Mission & Culture At Xealth, we're revolutionizing healthcare by leveraging data and automation to empower care providers (building on EHRs such as Epic and Cerner) to seamlessly prescribe, deliver, and monitor digital health for patients. We are a detail-oriented team, committed to maintaining the highest standards while moving with agility and impact. We are a highly skilled, collaborative, and passionate group, applying our expertise to improve health outcomes for millions. We believe in shared ownership and are looking for a team player who is a self-starter and self-driven to pioneer the next generation of intelligent, automated data insights. This role offers a unique opportunity to join a data engineering team to advance our capabilities with data processing pipelines and our analytics product offering. There is a strong preference for this person to sit in the Seattle office; however, we are open to candidates in other locations within the United States. What You'll Own and Deliver (Responsibilities) As a core member of our data engineering team, you will design, build, and scale the services that power Xealth’s Analytics and Reporting Capabilities. You’ll apply solid computer science fundamentals to solve complex problems in distributed systems, data modeling, and data pipelines. Data Modeling: Execute expert-level Data Modeling and Design, utilizing dimensional modeling and denormalization techniques specifically for analytic workloads. Data Ingestion: Ability to consume and process high-volume bounded and unbounded data, build robust Change Data Capture (CDC) mechanisms, and gather data from API calls and webhooks. Pipeline Design & Orchestration: Design, build, and optimize high-volume, real-time Streaming Data Pipelines utilizing PySpark and Databricks environments. Scalability & Maintenance: Maintain and scale large Data Lake Pipelines, ensuring high performance and cost-efficiency. Unit testing & Quality Assurance: Write comprehensive unit and integration tests for data pipelines to ensure code quality and production reliability. Cross-Functional Collaboration: Partner with product managers and EHR specialists to translate clinical user behaviors into rich, analytical datasets, unlocking critical insights that drive evidence-based improvements in healthcare processes. Technical Leadership: Contribute to code reviews, system design discussions, and technical decisions that raise the engineering bar across the team. Automation and AI in Development: Use AI-assisted coding tools like GitHub Copilot to streamline development, increase quality, and accelerate delivery. The Expertise You'll Bring (Requirements) We’re looking for a data engineer with strong computer science fundamentals. Someone who’s comfortable reasoning about systems, data, and code structure at scale, and who’s excited to apply those skills in healthcare. Core Technical Competencies: Data Engineering Expertise: 5+ years of professional experience building production-grade data pipelines and applications, with expert proficiency in Python, PySpark and SQL. Familiarity with JavaScript would be a plus. You must have solid hands-on experience working with modern massively parallel data processing systems. CS Fundamentals: Deep understanding of algorithms and data structures, with a specific focus on distributed computing principles (concurrency, partitioning, shuffling) necessary for processing large-scale datasets. Optimization & Troubleshooting: Proficient in diagnosing complex failures in distributed processing jobs (e.g., Spark executor errors, memory leaks, data skew) using logs, distributed tracing, and performance metrics. Modern SQL and Non-SQL Database Design: Deep practical knowledge of open table formats, such as Delta Lake. Proficiency with common big data file formats, including Apache Parquet and Apache Avro. Infrastructure as Code (IaC): Experience implementing IaC principles and tools for the automated deployment and management of data pipelines. API & Integration: Hands-on experience designing robust data ingestion frameworks via RESTful APIs and building event-driven architectures for real-time data flow. Cloud & Distributed Systems: Experience designing and scaling cloud-native data platforms and orchestrating data workloads using AWS and Kubernetes. Highly Valued Experience (Nice to Have) Security & Governance: Prior experience in regulated industry with high security requirements. A good working understanding of Data Security principles, particularly regarding Protected Health Information (PHI) and sensitive data governance. Real Time Stream Processing: Expertise building streaming data pipelines, leveraging stream processors such as Apache Kafka and Apache Flink Observability: Experience implementing and utilizing Data Observability tools and practices to monitor data quality, lineage, and pipeline health. Visualization: Experience building dashboards and visualizations to communicate data insights effectively About Xealth Xealth created the leading digital health platform helping health systems deliver connected, personalized care at scale. Embedded in the EHR, it enables clinicians to prescribe, automate, and measure the impact of digital tools--including apps, services, and wearable data--within existing workflows. Now part of Samsung's connected care vision, Xealth enhances decision-making, reduces friction, and supports enterprise-wide digital health strategies. Trusted by more than 500 hospitals and 70+ solution partners, Xealth provides a scalable foundation for delivering connected, personalized, and preventative care--empowering health systems to drive outcomes, engagement, and operational efficiency while advancing digital transformation. Xealth has been named to the World's Best Digital Health Companies list by Newsweek, awarded gold in the Digital Health awards in 2024 and twice in 2023. In 2023 Xealth was also listed as one of BuiltIn's Best Places to Work, and one of Fierce Healthcare's Fierce 15 of 2023. We’re looking for a data engineer with strong computer science fundamentals — someone who’s comfortable reasoning about systems, data, and code structure at scale, and who’s excited to apply those skills in healthcare. Compensation & Benefits: Xealth offers a multi-tiered approach when constructing a highly competitive compensation package. The compensation package would include a base salary, bonus, and a comprehensive suite of benefits. The base salary compensation range for this position is $155,000 - $225,000, depending on geographic market. Paid parental leave. Comprehensive medical, dental, and vision policies. Xealth covers 100% of employee premiums. We also provide Employee Assistance Programs. Xealth provides your laptop and offers a home office stipend. Generous learning & development opportunities for you to grow your skills and career. 401k Match: Xealth offers a dollar-for-dollar match up to 3%. Flexible time off & 10 standardized holidays. $500 yearly fitness stipend to spend on staying active. Xealth is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. *Please note - you MUST be a U.S. Citizen or Permanent Resident to be hired*

Want to help us help others? We’re hiring! GoFundMe is the world’s most powerful community for good, dedicated to helping people help each other. By uniting individuals and nonprofits in one place, GoFundMe makes it easy and safe for people to ask for help and support causes—for themselves and each other. Together, our community has raised more than $40 billion since 2010. We’re looking for a Staff Data Scientist, Pricing to serve as the senior individual contributor driving the science, strategy, experimentation and AI deployment behind pricing and yield optimization at GoFundMe. This role sits at the intersection of economics, behavioral science, experimentation, and machine learning, with direct responsibility for optimizing donation conversion, donation amounts, and donor experience across the product. Candidates considered for this role will be located in the San Francisco Bay Area. There will be an in-office requirement of 3x a week. The Job Own donation pricing and amount optimization end-to-end: Define the analytical strategy, modeling frameworks, and success metrics for pricing recommendations across product surfaces, balancing conversion, donation amounts, and long-term donor trust. Model human behavior using economics and AI: Apply economic theory, behavioral science, and machine learning to understand donor decision-making, estimate elasticity, and predict responses to changes in product design and choice architecture. Leverage non-transactional behavioral signals: Model sparse and indirect signals (e.g., navigation, hesitation, context, device, timing) to detect shifts in intent and interaction patterns beyond observed transactions. Build adaptive and reinforcement-aware systems: Design models that learn over time using experimentation signals, feedback loops, and reinforcement concepts (e.g., contextual bandits or sequential decision-making) where appropriate. Lead experimentation and causal learning: Partner with Product and Engineering to design robust experimentation and measurement frameworks, ensuring pricing and donation models are causal-aware, interpretable, and safe to deploy at scale. Incorporate external data and context: Augment behavioral models with external datasets (macroeconomic indicators, seasonality, regional or temporal signals) to better understand and anticipate donor behavior. Translate insights into action: Convert complex economic and behavioral analyses into deployable models, clear product recommendations, and measurable business impact. Influence through storytelling and leadership: Communicate insights effectively to senior leaders, humanize donor behavior through narrative, and serve as a trusted thought partner on pricing and donation strategy. Raise the technical bar: Set best practices for modeling rigor, validation, monitoring, and iteration; mentor other data scientists and elevate pricing science across the organization. You Experience & Education Either a Ph.D. in Economics, Applied Economics, or a closely related quantitative field, demonstrating the ability to push the boundaries of applied research and translate theory into practical modeling approaches OR 8+ years of industry experience in data science, applied economics, pricing, marketplace optimization, or monetization at a high-tech digital company, with a proven track record of owning and scaling pricing or decisioning systems. Deep experience applying economic reasoning, causal inference, and behavioral modeling to real-world decision-making problems. Demonstrated ability to own ambiguous, high-impact problems and deliver measurable business outcomes. Core Skills Strong foundation in econometrics, causal inference, and behavioral modeling. Deep understanding of price elasticity, choice modeling, and decision science. Experience modeling noisy, sparse, or non-transactional behavioral data. Hands-on experience designing and interpreting experiments and causal signals. Familiarity with reinforcement learning, bandits, or adaptive optimization concepts (applied or research-driven). Technical Skills Advanced proficiency in Python (pandas, NumPy, scikit-learn, PyMC/Stan or equivalent) and SQL, with the ability to build, validate, and iterate on complex analytical and modeling workflows. Demonstrated ability to leverage modern AI tools and coding agents (e.g., LLM-based assistants, autonomous or semi-autonomous coding agents, model-driven feature generation, synthetic data generation) to accelerate research, prototyping, and productionization of models. Experience designing or applying LLM-based or AI-assisted solutions to complex decisioning problems (e.g., feature extraction from unstructured data, rapid experimentation, simulation, or model orchestration), beyond basic prompt usage. Leadership & Collaboration Exceptional ability to tell clear, compelling stories from complex data. Comfortable influencing product direction and executive decision-making. Demonstrated ability to lead without authority and elevate team practices. Preferred but not required Experience in consumer pricing, marketplaces, or digital payments/donations. Experience partnering with engineering to productionize models and AI-driven systems, including monitoring, evaluation, and iteration in live environments. Familiarity with modern data platforms (Snowflake, Databricks) and experimentation infrastructure; experience with model versioning and validation is a plus. Strong data visualization, documentation, and presentation skills, with an emphasis on clarity and executive-ready communication. Why you’ll love it here Make an Impact : Be part of a mission-driven organization making a positive difference in millions of lives every year. Innovative Environment : Work with a diverse, passionate, and talented team in a fast-paced, forward-thinking atmosphere. Collaborative Team : Join a fun and collaborative team that works hard and celebrates success together. Competitive Benefits : Enjoy competitive pay and comprehensive healthcare benefits. Holistic Support : Enjoy financial assistance for things like hybrid work, family planning, along with generous parental leave, flexible time-off policies, and mental health and wellness resources to support your overall well-being. Growth Opportunities : Participate in learning, development, and recognition programs to help you thrive and grow. Commitment to DEI : Contribute to diversity, equity, and inclusion through ongoing initiatives and employee resource groups. Community Engagement : Make a difference through our volunteering program. We live by our core values: impatient to be great , find a way , earn trust every day , fueled by purpose . Be a part of something bigger with us! GoFundMe is proud to be an equal opportunity employer that actively pursues candidates of diverse backgrounds and experiences. We do not discriminate on the basis of race, color, religion, ethnicity, nationality or national origin, sex, sexual orientation, gender, gender identity or expression, pregnancy status, marital status, age, medical condition, mental or physical disability, or military or veteran status. The annual U.S. salary range for this full-time position is $179,500 - $269,500 . The company also offers equity and other benefits to employees, including healthcare, dental, vision, life insurance and 401(k) saving program. In addition to this wage, there are geolocation differentials that will increase pay depending on the work location. Additionally pay may vary depending on other factors including skills, experience, education, or training. Your recruiter can share more about the specific total compensation package based on your location during the hiring process. If you require a reasonable accommodation to complete a job application or a job interview or to otherwise participate in the hiring process, please contact us at accommodationrequests@gofundme.com . Global Data Privacy Notice for Job Candidates and Applicants: Depending on your location, the General Data Protection Regulation (GDPR) or certain US privacy laws may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available here . By submitting your application, you are agreeing to our use and processing of your data as required. Learn more about GoFundMe: We’re proud to partner with GoFundMe.org , an independent public charity, to extend the reach and impact of our generous community, while helping drive critical social change. You can learn more about GoFundMe.org’s activities and impact in their FY ‘25 annual report . Our annual “Year in Help” report reflects our community’s impact in advancing our mission of helping people help each other. For recent company news and announcements, visit our Newsroom .