Float

Data Engineer

• Own Float's Snowflake architecture end-to-end — organization, cost efficiency, and access controls
• Design and build a real orchestration layer for our ingestion pipelines, replacing ad hoc processes
• Stand up observability and alerting so pipeline failures and data staleness are caught immediately, not downstream
• Introduce data contracts between producer and consumer systems, so upstream changes (new payment rails, new banking products, vendor field changes) stop silently breaking things
• Own the DataOps layer — establish CI/CD pipelines for data code, build data quality checks directly into pipelines, and orchestrate jobs that live outside of ingestion and dbt (ML pipelines, data quality runs, operational workflows), so everything is tested, automated, and deployed consistently
• Partner closely with our Analytics Engineer to keep the ingestion → transformation handoff clean and dependable — and collaborate on lineage tracking and metadata tooling so the broader team has visibility into where data comes from and how it flows
• Develop, document and socialize a target-state data architecture and phased migration roadmap, in partnership with data and engineering leadership.
• Build and maintain the data pipelines that power ML model training and inference — ensuring the data science team has reliable, well-structured feature data for ML use cases
• Leverage AI tooling across the full engineering lifecycle — from writing and reviewing pipeline code to accelerating observability, anomaly detection, and incident triage
• Partner with product and infrastructure engineering to maintain consistent telemetry standards across Float's codebases, ensuring product events flow reliably into the data platform.

Senior Data Engineer

Customer Success Manager

• Design and optimize the end-to-end post-sales (Customer Success) customer journey across onboarding, adoption, renewal, and expansion.
• Build and own the Customer Success operating system, creating scalable processes that improve retention, expansion, forecasting, and operational efficiency.
• Evaluate, implement, and optimize the Customer Success technology stack, driving adoption and enablement across the team.
• Develop and continuously improve customer health scoring frameworks, risk indicators, and expansion signals.
• Build and own recurring forecasting programs and target setting for customer retention and expansion, ensuring leadership has accurate visibility into business performance.
• Create scalable account planning and risk management programs for Float's largest customers.
• Partner with Customer Success leadership to define CSM workflows, operating rhythms, success metrics, and performance measurement.
• Translate complex and fragmented customer data into clear recommendations and actionable insights for Customer Success and GTM leadership.
• Partner cross-functionally with RevOps, Product, Finance, Sales, and Data teams to improve systems, reporting, customer handoffs, and operational efficiency.
• Identify opportunities to automate manual work and streamline workflows so Customer Success Managers can spend more time driving customer value.
• Establish reporting, dashboards, and operating cadences that help leadership make faster, data-informed decisions.

Senior Customer Success Operations Manager

Manager

• Lead and develop a team of five Customer Activation Managers, owning their performance, growth, and day-to-day support — in person, in the Toronto office from Tuesdays to Thursdays.
• Own the team's results against realized TPV (total payment volume) and other revenue-tied activation metrics.
• Standardize onboarding playbooks across scenarios so customers get a consistent experience regardless of which CAM they work with.
• Build out playbooks, processes, and metrics for multi-product adoption beyond the first 30 days, extending focus across the full 120-day journey.
• Develop deep product fluency across Float's full payments suite — not just cards — and translate that understanding into how the team designs and runs the customer onboarding journey.
• Get into the weeds on individual accounts — diagnose blockers, unstick stalled activations, and coach CAMs through complex situations.
• Bring rigor and follow-up discipline to the team's sales-like motion, holding reps accountable for proactively driving accounts to activation.
• Flag account risks early and proactively — to CAMs, Sales, Customer Success, and Leadership — before they threaten activation or retention.
• Partner with Sales to understand the customer journey from first interaction through the CAM hand-off, and with Customer Success to ensure a smooth transition into long-term adoption beyond the first 120 days.
• Represent the Customer Activation team in front of customers directly for high-value accounts, including presenting to stakeholders.
• Surface product and process feedback to Product and Engineering leadership, using CAM and customer input to drive real changes to the activation experience.
• Advocate cross-functionally with Product, Engineering, and Marketing to remove friction from the activation journey.
• Build a team culture where CAMs feel supported, recognized, and set up to do their best work.

Senior Data Engineer

Senior Customer Success Operations Manager

Manager, Customer Activation