Top Tech Jobs & Startup Jobs

Build and scale Benepass’s data platform, including warehouses, replication pipelines, orchestration, dbt transformations, semantic models, and data quality systems. Own platform reliability, governance, security, performance, cost optimization, and developer experience. Partner with Product, Engineering, Operations, GTM, Finance, analysts, and data scientists to deliver trusted reporting and analytics infrastructure. Shape the data platform roadmap, evaluate new technologies, and mentor cross-functional partners as a senior individual contributor.

Own strategic partner relationships from implementation through ongoing growth. Develop scalable onboarding frameworks, playbooks, training materials, workflows, and operating processes. Lead partner success plans, cross-functional implementations, enablement, performance reviews, and issue resolution. Monitor partner and referred-client outcomes, identify expansion opportunities, and advocate for partner needs internally. Collaborate with Sales, Customer Success, Product, Operations, Implementation, and Support to improve partner satisfaction, activation, retention, and expansion.

Own 15–20 enterprise accounts across onboarding, adoption, renewal, and expansion. Build executive and administrator relationships, develop success and account plans, monitor customer health, mitigate renewal risk, and drive measurable value. Partner with Sales, Product, Engineering, Marketing, Support, and Alliances teams to represent customer needs, influence product direction, and create scalable customer success playbooks and executive business reviews.

Engineering Manager leading a 4–6 person backend team responsible for core fintech services, including ledgers, decisioning, integrations, authentication, and directories. The role combines people management, hiring, coaching, execution ownership, technical design reviews, production debugging, reliability, and delivery accountability. The manager must remain technically credible in Python/Django systems, uphold high-integrity engineering standards, and use AI extensively for coding, planning, debugging, communication, and team effectiveness.