Top Tech Jobs & Startup Jobs

Lead claims-based studies and actuarial modeling to quantify Nourish’s impact on healthcare spending, utilization, total cost of care, PMPM savings, and ROI. Apply causal inference, risk adjustment, and matched comparison methods to evaluate care programs. Translate findings into reports and executive narratives for health plan partners while building reusable datasets and analytical workflows with Analytics Engineering.

Build developer tooling and agent workflows that help engineers safely modify large monorepos. Develop CLIs, desktop integrations, agentic loops, observability interfaces, guardrails, tests, and automation. Lead framework upgrades, language migrations, dependency updates, and large refactors while improving developer workflow, codebase health, adoption, and engineering productivity. Set technical direction and mentor engineers on agent design and tooling.

Lead revenue accounting and billing operations for a SaaS company, including revenue recognition, billing, close processes, ASC 606 analysis, technical accounting, SOX controls, audits, and systems optimization. Manage a five-person team and partner with Sales, Legal, Deal Desk, Revenue Operations, and Financial Systems. Drive AI-enabled automation, process redesign, quote-to-cash improvements, and accurate financial reporting.

Drives product portfolio strategy, roadmap decisions, market research, requirements prioritization, regulatory coordination, and product commercialization for charitable gaming products. Partners with R&D, Sales, Marketing, Manufacturing, Compliance, and customer support throughout development, approval, launch, and post-launch analysis. Develops go-to-market plans, product value propositions, KPIs, training materials, and competitive assessments across emerging and adjacent markets.

Own and grow strategic partner relationships from implementation through expansion. Lead onboarding, joint business planning, payment-volume and revenue growth, executive reviews, issue resolution, account strategy, forecasting, and partner performance monitoring. Collaborate cross-functionally with Product, Operations, Engineering, Compliance, Legal, and Finance while identifying new corridors, payment methods, geographies, use cases, and commercial opportunities.

Supports daily HR operations, including employee records, onboarding, offboarding, benefits, policy guidance, audits, and compliance. Manages HR records retention, data quality, reporting, dashboards, and analytics. Coordinates HR special projects, improves workflows and systems, develops procedures and training materials, and assists with HRIS and ATS administration. The role requires strong analytical, organizational, project-management, communication, and confidentiality skills.

Provides white-glove client support through phone, email, and chat for financial products. Resolves technical and account issues, collaborates with product, engineering, sales, and relationship teams, supports account onboarding, manages support queues, develops FAQs and scripts, tracks issue trends, reports metrics, improves support processes, and trains new representatives. The role requires Central Time availability and is hybrid in Dallas.

Own customer-facing AI product engagements for financial institutions, from discovery and scoping through implementation, rollout, adoption, and measurable business impact. Translate customer needs into requirements, workflow designs, prototypes, and delivery plans; partner with engineers on integrations, data access, permissions, and AI behavior; validate quality; manage stakeholders and scope; and identify reusable capabilities across deployments. The role requires regular onsite customer work and travel.

Analyze large datasets and conduct statistical, causal, and experimental analyses to answer product and business questions. Build dashboards and visualizations, investigate metric changes, identify data quality issues, and communicate actionable insights. Collaborate with Product, Engineering, and Data Engineering to validate metrics, experiments, and measurement approaches, while documenting methodologies and assumptions.

Lead and develop a distributed, multi-country Sales Engineering team supporting international SaaS revenue growth. Coach discovery, demonstrations, and Proofs of Value; improve technical win rates and POV efficiency; optimize technical resource allocation; and partner with Sales, Professional Services, Customer Success, and Product. The role also handles strategic deal reviews, escalations, executive customer discussions, performance analysis, competitive enablement, and implementation handoffs.