Top Tech Jobs & Startup Jobs in Boston, MA

As Director of Finance Technology Systems, you will lead the Finance application landscape, driving automation and optimizing financial workflows. You will manage a team focused on ensuring system integration and compliance with SOX, while partnering with senior finance stakeholders and overseeing AI integration in financial processes.

Leads global field enablement strategy across Sales, Business Development, Customer Success, and Partnerships. Owns enablement KPIs, lifecycle training, playbooks, certifications, product-launch enablement, Field Kickoff, enablement technology, AI-tool adoption, manager coaching, and operating standards. Partners with GTM Operations, Marketing, Product, and regional leaders to improve ramp time, productivity, attainment, pipeline conversion, retention, and expansion. Manages and develops a globally distributed enablement team while balancing central standards with regional autonomy.

Own the full sales cycle for Mid-Enterprise accounts: prospecting, discovery, demos, negotiation, and close. Build territory and account strategies, collaborate with Solutions, Customer Success, Product, and Engineering, mentor AE teammates, experiment with AI to streamline workflows, and share market insights to influence product roadmap and drive long-term customer value.

Own end-to-end data pipelines and production-grade dbt models (Snowflake) for Sales and Product analytics. Build governed data marts, dimensional models, and reverse ETL workflows. Improve data quality, testing, monitoring, and documentation. Partner with GTM, Product, and BI stakeholders, mentor peers, and contribute to platform tooling (Airflow, Terraform, AWS) to enable reliable, scalable analytics.

Lead and coordinate cross-cutting infrastructure programs (cloud, FinOps, CI/CD, security, migrations) across engineering. Drive planning through completion, prioritize work, surface risks, establish reporting and ways-of-working, and push automation and operational excellence to ensure timely delivery without direct authority.

Lead cross-team data platform initiatives focused on the Data Lake. Drive architecture and roadmaps for lakehouse storage, compute, orchestration, modeled data layers, and operational automation. Own large, complex programs end-to-end, make high-judgment architectural decisions, establish standards and paved paths, respond to incidents, and mentor senior engineers while aligning stakeholders across engineering, product, analytics, and AI/ML.

Design, build, and operate foundational platform services to improve availability, scalability, latency, and efficiency. Enable product teams via platform primitives (infra, databases, queuing), leverage Python, Go, AWS, Kubernetes, and Terraform, and mentor engineers to deliver resilient, scalable systems and improved developer experience.

The role involves operating and improving AI-driven data quality pipelines, managing offshore teams, and ensuring data accuracy and reliability. Responsibilities include monitoring pipeline performance, refining rules, and collaborating across teams to enhance data operations.

Lead end-to-end global onboarding (Base Camp) operations: build curriculum and infrastructure, apply instructional design and AI to content and operations, partner with stakeholders to ensure scalable, consistent new-hire and executive onboarding, track program health with data, and continuously improve the experience.

The Lead People Systems Engineer will design AI-first People workflows, build scalable AI systems, and ensure responsible AI practices in HR operations.