Top Tech Jobs & Startup Jobs

Partner with client-facing teams to deliver and automate high-quality, scalable client reports and custom analyses using Snowflake/SQL and modern data tooling. Improve report accuracy, documentation, visualizations, and drive insights for strategic decisions.

Lead end-to-end analytics: own KPIs and dashboards, define measurement with stakeholders, build scalable pipelines with Data Engineering, run deep-dive analyses, close reporting gaps, and advocate best practices in visualization, documentation, and metric consistency to inform business strategy.

Build and govern KPIs and dashboards, partner with stakeholders on measurement, develop scalable data pipelines, run deep-dive analyses, close reporting gaps, and promote best practices in visualization and metric consistency.

Manage and oversee implementation projects for a portfolio of clients: create project plans, coordinate resources and vendors, report status, lead steering committees, manage commercials and resource allocation, track project metrics, maintain client relationships, facilitate transition to steady-state teams, and run multiple implementations with minimal supervision.

The FX Quantitative Developer is responsible for developing pricing libraries, supporting FX product frameworks, and collaborating with clients to enhance risk and valuation models.

Partner with prospects and clients to identify operational pain points, demonstrate the Clearwater solution, win new business, craft proposals/RFP responses, document requirements and processes, provide product feedback, and support sales visit preparation as a subject matter expert in finance, accounting, and/or technology.

Act as the technical lead for mid-market customers across pre-sales and post-sales: architect solutions using Attio (data model, no-code workflows, API, reporting), run demos and trainings, manage onboarding, consult on RevOps/GTM best practices, and advocate customer needs cross-functionally.

Lead technical onboarding and solution architecture for enterprise wealth management clients. Translate client goals into platform designs, manage integrations (CRM, data warehouse, APIs), drive adoption, mentor delivery teams, influence product strategy, and ensure successful handoffs to Client Success.

Lead the end-to-end build of new greenfield fintech products (credit builder, BNPL) from concept to launch. Define product strategy, UX, requirements, success metrics, and partner with engineering, design, data, legal/compliance, and growth to ship and iterate toward revenue.

Support budgeting, forecasting, reporting and long-range planning. Build and maintain financial models and dashboards, automate reporting, run scenario and sensitivity analyses, analyze KPIs and large data sets, partner with business teams, and improve FP&A processes and forecasting tools (Adaptive).

Architect and implement SoC/MCU RTL (Verilog/SystemVerilog), own complex blocks from spec through tapeout, integrate IP and ARM subsystems, collaborate with verification and physical design, resolve LINT/CDC/RDC issues, support FPGA prototyping and silicon bring-up, and mentor junior engineers.

Own and optimize the MarTech stack and marketing automation to drive lead generation, ABM, email, and paid acquisition. Manage HubSpot, Salesforce integrations, WordPress lead capture, Braze journeys, audience segmentation, testing, and reporting. Build dashboards, multi-touch attribution, and provide data-driven recommendations to improve pipeline, conversion rates, and ROI while partnering with Sales, Growth, and Client Success.

Own state-level product strategy and market performance for assigned regions. Manage state filings and DOI relationships, collaborate with Technology and Operations on launches, analyze KPIs and profitability drivers, present strategic recommendations, support external data and competitor intelligence, and relay field feedback to product teams to inform product changes and new development.

Design, build, and own scalable data pipelines and evaluation systems that power production AI features and internal analytics. Ensure data quality across ingestion, modeling, and reporting, collaborate with ML and analytics teams, deploy and monitor ML systems, and establish standards for data work and evaluation.