Top Tech Jobs & Startup Jobs

The Paid Media Specialist will execute and manage paid media campaigns, utilizing analytical and creative skills to optimize performance and achieve client goals.

Own and scale recruiting infrastructure, including the ATS, sourcing, scheduling, assessment tools, workflows, integrations, analytics, and automation. Build trusted recruiting dashboards and forecasting processes, improve data hygiene, lead AI and workflow experiments, and establish operating rhythms. Partner with Finance, People, Data, recruiters, and hiring managers on headcount planning and adoption. Lead interviewer training and structured interview programs while protecting candidate experience through strong communication, scheduling, and feedback processes.

Own and evolve PointFive’s visual identity across brand, website, advertising, social, events, and sales materials. Concept, design, and produce static, motion, animation, UI motion, and video creative. Build website pages and components using Vercel, GitHub, and Claude Code. Manage creative projects, deadlines, and external freelancers while partnering closely with the CMO and marketing team.

Develops mechanical test plans, procedures, and methods for SRAM products; builds and improves automated test systems for mechatronic devices; analyzes product behavior and test data; resolves testing issues; applies statistics and reliability principles; and communicates results to support product development.

Lead Statara’s Data Products & Engineering function, owning Snowflake-based data infrastructure reliability and evolution, solution architecture for client engagements, pre-sales technical support, cross-functional alignment, and team leadership to deliver scalable data and analytics solutions.

Lead and develop a team of 6-8 account managers to deliver exceptional client service for enterprise accounts. Manage team operations and KPIs, implement scalable workflows and playbooks, drive process innovation, partner cross-functionally, resolve escalations, and build trusted client relationships to maximize retention and portfolio growth.

Lead the strategy, roadmap, and optimization of Finance Technology supporting strategic finance and FP&A. Own enterprise planning, forecasting, reporting, automation, financial modeling governance, and AI enablement. Translate finance needs into scalable technology solutions while partnering with Finance Systems, Data & Analytics Engineering, HR Systems, IT, and vendors. Evaluate investments, lead planning system implementations, manage cross-functional initiatives, and improve forecast accuracy, productivity, and decision-making.

Own the measurement and improvement of model learning from tasks. Collaborate with frontier labs to design post-training recipes and data-quality techniques, run in-house evaluation systems, develop datasets and data products, assess acquired data, and build scalable ingestion and evaluation systems. The role requires production reinforcement learning experience at a frontier lab and end-to-end LLM post-training expertise.

Analyze transaction enrichment product performance, data quality, accuracy, match rates, and other metrics. Investigate anomalies in large datasets, build dashboards and automated alerts, improve QA processes and workflows, and develop documentation and monitoring standards. Partner with Product, Engineering, and AI/ML Data Science teams to translate insights into product improvements and automate recurring analytical work.

Supports product strategy and roadmap execution by shaping Epics, prioritizing and refining backlogs into Stories, negotiating requirements, and communicating product vision. Collaborates with product managers, development, design, marketing, support, professional services, and customers to provide context, align stakeholders, manage risks, and maintain delivery transparency. Requires technical product ownership, project coordination, customer empathy, and effective use of collaboration, analytics, documentation, and AI productivity tools.