Top Tech Jobs & Startup Jobs

Build and refine SaaS financial models, forecasts, dashboards, and reporting for metrics such as MRR, ARR, CAC, LTV, and churn. Cleanse and reconcile multi-source data, perform ad hoc and trend analysis, and provide actionable insights to leadership. Partner cross-functionally with Product, Sales, Marketing, and Customer Success while improving data processes, forecasting accuracy, and operational efficiency using advanced Excel, BI, and generative AI tools.

Lead data engineering initiatives supporting analytics, machine learning, and business intelligence teams. Design complex data warehouse and data lake models, manage large-scale SQL and Python ETL/ELT pipelines, maintain data quality and lifecycle standards, and translate strategic priorities into actionable projects. Provide technical leadership, mentorship, architectural guidance, project planning, and cross-functional collaboration with product, infrastructure, and architecture teams.

Executes and manages trades for SMA, UMA, MSP, and model-only accounts. Generates block trade orders, processes account maintenance and model changes, routes orders for execution, performs pre- and post-trade controls, reviews executions, reconciles trades, and supports sponsor connectivity. The role also identifies trading-process improvements and ensures client service-level requirements are met.

Own the monthly close and independent financial sign-off for a profitable $22 million company. Review machine-prepared books, resolve exceptions, reconcile bank and card statements, oversee revenue recognition, maintain the general-ledger mirror, and deliver clean tax handoffs. Build the 13-week cash forecast and operating budget, monitor spending and reserves, and write a concise monthly financial readout for the founder. This is a remote, 10–15-hour-per-week 1099 contract role with fixed close-week responsibilities.

Lead and mature the companys information security program: maintain ISMS and certifications, run SOC operations (SIEM/EDR), integrate security into SDLC, manage vulnerability and incident response, oversee third-party/vendor risk, conduct security testing and training, and support regulatory cybersecurity QMS documentation and submissions for FDA, EU MDR, NIST standards.

Own free-to-paid SaaS conversion across a high-volume account portfolio. Build AI-powered sales automation, intent-based workflows, nurture sequences, and self-serve buying journeys while personally closing high-potential accounts. Collaborate with RevOps, Marketing, Engineering, and product teams to improve conversion and automated onboarding. Requires a systems-oriented, AI-first approach to prioritization, experimentation, and scalable digital sales execution.

Manage the end-to-end client experience for 20–30 data research accounts, from project kickoff through delivery and renewal. Coordinate panel, research, data science, and product teams to deliver projects on time and within budget. Drive adoption of MFour Studio and DANI, identify upsell opportunities, build client relationships, and present data-driven insights. The hybrid role requires quantitative research, large dataset analysis, questionnaire design, client communication, and SaaS/DaaS customer journey experience.

Provides post-sale customer support through email, chat, and phone, including product guidance and technical troubleshooting. Documents and escalates software issues to Engineering, maintains customer relationships, and communicates customer feedback to Product and Development teams. Supports internal and external stakeholders with product expertise while using AI tools to improve support efficiency and response quality.

Manage a named pipeline of financial advisors and advisor teams through Pontera’s initial activation phase. Lead onboarding meetings, create urgency using consultative sales methodologies, drive advisors toward onboarding five clients, conduct outbound engagement, track milestone progression, and negotiate and close asset upsell opportunities. Success is measured by rapid advisor activation, platform adoption, and commercial outcomes.

The HR Operations Specialist manages benefits administration, open enrollment, immigration support, I-9 and E-Verify processes, compensation data, pay analysis, recurring People programs, HR calendars, systems audits, and cross-functional projects. The role requires maintaining accurate employee data, reconciling records, supporting performance and compensation cycles, responding to employee questions, and using AI tools to improve communication, analysis, and operational efficiency.