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Lead the end-to-end delivery of multiple ML initiatives, from planning and design through rollout, documentation, and long-term maintenance

Lead data strategy for our regulatory engagements - from ETL development to source data validation to analysis

Lead data strategy for our regulatory engagements - from ETL development to source data validation to analysis

Lead data strategy for our regulatory engagements - from ETL development to source data validation to analysis

Build and operate production ML systems that turn customer and product context into trusted signals, rankings, recommendations, and decision capabilities.

Build and operate real-time and batch ML decisioning systems for payment fraud, scams, identity and account integrity, merchant and marketplace risk, and abuse prevention.

Build financial operations and reporting infrastructure — Design and implement backend services for Accounting, FP&A, Tax, Procurement while keeping the company compliant.

Drive post-silicon bring-up, characterization, qualification, and productization activities from first silicon through mass production.

Experiment and deploy AI copilot and autopilot systems at scale to improve analyst productivity and/or eliminate manual decision loops altogether.

Partner with product, engineering, data science, policy, and operations to design and productionize ML-driven risk solutions at scale

Independently challenge model owners across lending, fraud, and AML: reproduce their results, set and defend the acceptance thresholds, and own the call on whether a model is sound.

Drive AI-First Development: Embed AI-assisted development tools (Cursor, Claude, GitHub Copilot) into your daily workflow to accelerate code generation, automate testing, and elevate delivery velocity.

Lead end-to-end AI Risk Assessments for generative AI and LLM use cases across the Bank; Embedding in Block's enterprise-wide GenAI review process, coordinating cross-functional SMEs (Legal, Compliance, InfoSec, Data Governance

Lead end-to-end AI Risk Assessments for generative AI and LLM use cases across the Bank; Embedding in Block's enterprise-wide GenAI review process, coordinating cross-functional SMEs (Legal, Compliance, InfoSec, Data Governance

Lead the creation and optimization of existing data models through AI code generation on eventing, customer level, and process level data.

Design integrations across enterprise business systems, including Salesforce, Oracle Cloud, Snowflake, Looker, and external partner systems using MuleSoft or other Integration iPaaS platform

Define and evolve the architecture of legal systems, ensuring they are scalable, cohesive, and adaptable over time

Bring up new silicon on bench platforms, evaluation boards, and system hardware

Builds new AI products for Calendly’s customers, bringing new capabilities to life.

Define and execute the long-term strategy for Calendly’s data platform and ecosystem.

Partnering closely with the Mobile Product and Engineering teams to analyze app user behavior, measure mobile feature adoption, and identify opportunities to improve the end-to-end mobile experience across iOS and Android

Drives business insights, strategic decision making, executive level and cross organizational business growth, and magical customer experiences for our end customers through impactful innovation.

Ensure the successful onboarding, training, enablement, and certification of partner technical resources