Jobs at Blend360

Coordinates people operations activities and supports employee-related processes. The provided description contains no specific responsibilities or qualifications beyond the People Ops Coordinator title.

Develop machine learning and statistical models for customer value, segmentation, behavior, transitions, causal analysis, and next-best-action recommendations. Analyze transactional and behavioral data, perform feature engineering and model validation, and translate findings into business recommendations. Collaborate with data scientists, engineers, and client stakeholders while working through ambiguous requirements and evolving priorities.

Develop machine learning and statistical models for customer value, segmentation, lifetime value, behavior, causal analysis, and next-best-action recommendations. Analyze transactional and behavioral data, engineer features, validate models, and communicate findings to technical and business stakeholders. Translate ambiguous customer and marketing problems into practical data science solutions while collaborating with data scientists, engineers, and client teams to drive measurable business outcomes.

Leads Blend’s partner marketing function across hyperscalers, data platforms, and AI alliances. Develops joint value propositions, co-marketing strategies, campaigns, events, seller enablement, and annual partner plans. Owns MDF allocation, governance, ROI measurement, and partner-sourced and partner-influenced pipeline reporting. Builds relationships across partners, sales, alliances, delivery, and marketing while scaling existing motions and creating new programs across global regions.

Lead private equity growth opportunities from initial discussions through solution development, proposals, and close. Build executive relationships, translate business priorities into data, analytics, AI, and technology initiatives, develop proposals and go-to-market materials, coordinate internal experts and delivery teams, and expand existing accounts. The role also establishes repeatable offerings, operating structures, and processes to scale the private equity channel.

Leads private equity growth opportunities from initial discussions through solution development, proposals, and close. Builds executive relationships, translates business priorities into data, analytics, AI, and technology initiatives, coordinates internal experts and delivery teams, and ensures successful pursuit-to-execution transitions. Develops go-to-market materials, expands existing relationships, creates repeatable offerings, and helps establish scalable channel processes and operating structures.

Analyze large customer, prospect, audience, and campaign datasets using Python and SQL. Own audience selection, campaign setup, validation, execution, reporting, and data quality processes. Build automated queries, scripts, dashboards, and reusable campaign operations frameworks. Partner with marketing stakeholders to translate objectives into audience strategies, investigate data issues, optimize campaign performance, and present actionable insights.

The role involves leading the design and implementation of scalable data ingestion architectures in Snowflake, ensuring data quality and governance. Responsibilities include developing ELT pipelines, optimizing data pipelines on AWS, and acting as a technical leader.

Lead global marketing strategy in partnership with the Head of Global Marketing. Own market narrative, messaging architecture, editorial governance, earned media, thought leadership, analyst relations, measurement, investment planning, enablement, events, and partner marketing alignment. Manage and scale a distributed team spanning communications, content, design, and enablement while driving consistent global execution and an AI-native marketing operating model.

Build, maintain, optimize, and automate scalable data pipelines and models for analytics and reporting. Refactor legacy code, create reusable components, standardize KPIs and metrics, and ensure data quality, performance, and reliability. Collaborate with analytics and engineering teams in a cross-functional environment while independently driving initiatives with minimal supervision.

Analyze large customer, prospect, and campaign datasets using Python and SQL; build and optimize marketing audiences; conduct campaign performance analysis; create dashboards and reports; automate recurring reporting; ensure data quality; identify trends and anomalies; and present actionable recommendations to marketing stakeholders.

Manage day-to-day People Operations across the employee lifecycle, including onboarding, transfers, employee changes, offboarding, HRIS records, benefits, and employee support. Partner with Payroll, Finance, IT, managers, and HR leadership; maintain confidentiality; support HR initiatives; and improve workflows through process optimization and automation. The role also involves People metrics, reporting, and process coordination in a fast-paced distributed environment.

The Vice President of Finance will own North America’s financial narrative, including P&L performance, forecasting, budgeting, profitability, margins, and executive reporting. The role leads monthly planning cycles, forecast accuracy, client health and margin analysis, pricing and investment decisions, and revenue recognition oversight. The VP manages Finance Business Partners, oversees Global FP&A reporting infrastructure, partners with senior business leaders, and presents financial insights to executive and board-level audiences.

Leads and mentors data scientists while delivering end-to-end analytics solutions for pricing, customer segmentation, marketing, causal inference, Bayesian modeling, and optimization. Develops, validates, deploys, and operationalizes models using Python, SQL, and AWS SageMaker. Partners with clients and senior stakeholders to translate analytical findings into measurable business outcomes, establish modeling best practices, and ensure technical quality and governance.

Leads a data engineering team in designing, developing, and optimizing scalable on-premise data pipelines. Builds ETL/ELT workflows with Python, Spark, SQL, and Airflow; manages Airflow DAGs; troubleshoots performance and data quality issues; conducts code reviews; and coordinates technical design, project delivery, stakeholder communication, resource planning, and team mentorship.

Design, develop, optimize, and maintain scalable GCP data pipelines and ETL/ELT solutions using Python and SQL. Build data processing and transformation workflows, perform data modeling and validation, troubleshoot production issues, and implement data quality, security, and governance practices. Collaborate with business and technical teams, participate in code reviews, and contribute to technical architecture and design decisions.

Lead AI and data science projects, mentor a team, collaborate with stakeholders, ensure project quality, and deliver insights for decision-making.

Design, build, and maintain scalable AWS-based batch and streaming data pipelines (including CDC). Implement data models, ensure data quality and performance, deliver validation reports, and collaborate with cross-functional teams to productionize domain-oriented data solutions.

Lead the Agentic Transformation practice at Blend360, managing client relationships and guiding Fortune 1000 companies through major technology transformations, focusing on executive engagement and strategic outcomes.

Lead the end-to-end delivery of Customer Data Platform projects, coordinate teams, manage vendor relations, and ensure compliance and governance.