• Lead the technical delivery of proactive broadband solutions using Zhilabs • Drive measurable improvements in customer experience, operational efficiency, and commercial value through predictive modelling • Design and deliver proactive broadband use cases using Zhilabs to detect service issues early • Develop and maintain clean, efficient code and scripts (e.g., Python, SQL) • Build and optimise dashboards that visualise network and customer metrics • Lead technical delivery of proactive initiatives from concept through backlog shaping, testing, and go-live readiness • Apply predictive modelling techniques to forecast service degradation • Implement workflow automations that reduce manual effort • Collaborate with cross-functional teams to validate use cases via A/B testing

• You will support the team with data modeling and the implementation of ETL processes, as well as the development of initial BI components • You will assist in connecting primary systems to our company data warehouse • You will be part of exciting projects, such as further developing our existing data warehouse or integrating new subsidiaries • You will prepare, clean, and transform data (ETL) and ensure stable data processes • You will test new BI components, validate analysis results, and document your findings clearly and transparently.

Role Description Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey. Position: Math Expert Type: Contract Compensation: $40–$60/hour Location: Remote Role Responsibilities - Solve advanced mathematical problems across competition math, proof-based mathematics, and quantitative reasoning to generate frontier AI training data. - Evaluate and provide expert feedback on AI-generated mathematical reasoning and proofs. - Develop original, research-grade problems and solutions in areas such as number theory, combinatorics, algebra, real analysis, and probability. - Apply quantitative and statistical methods to assess and improve model performance on mathematical benchmarks. - Collaborate with AI research teams to identify gaps in mathematical reasoning and design targeted training tasks. Qualifications - Demonstrated participation or achievement in elite competitive mathematics (IMO, USAMO, Putnam, or equivalent national/international olympiads). - Deep proficiency across multiple mathematical disciplines including proof-based mathematics, combinatorics, number theory, real and complex analysis, linear algebra, and probability. - Strong quantitative background with experience applying mathematical rigor to research or industry problems (e.g., quantitative finance, theoretical CS, or academic research). - Bachelor's degree or higher in Mathematics, Applied Mathematics, Statistics, or a related field (advanced degree preferred). - Ability to produce precise, well-structured mathematical writing. Application Process - Upload resume - AI interview based on your resume - Submit form Resources & Support - For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome - For any help or support, reach out to: support@mercor.com PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

Role Description Build the intelligence engine powering the future of care navigation. Pairtu is building the AI operating system for care navigation - a business-in-a-box platform for patient advocates that blends high-touch human support with tech-enabled workflows. As a Series A company, we are scaling fast. The next phase of growth requires operational precision, financial clarity, and decision-making powered by real-time intelligence. This role exists to build the analytics foundation that leadership, product, and operations will use to scale the company. You will not just build dashboards, you will define the metrics that run the business. What You'll Own - Build the Analytics & AI-Powered Data Engine - Design and maintain company wide dashboards in Metabase and Amplitude. - Define KPI frameworks across operations, growth, product, and finance. - Design tracking architecture and guide engineering on instrumentation (Segment). - Ensure a single source of truth across systems. - Lay groundwork for predictive and AI-driven insights over time. - Own the Data Layer - Write advanced SQL. - Partner with product and engineering to refine schemas and data models. - Improve data reliability, governance, and documentation. - Contribute to scalable transformation workflows (dbt preferred). - Drive Measurable Operational Leverage - Identify workflow bottlenecks and quantify financial impact. - Build models that inform hiring plans, capacity forecasting, and cost structure. - Replace manual reporting with automated, scalable systems. - Shift the organization from lagging indicators to leading indicators. - Influence Strategic Decisions - Translate complex analysis into clear business recommendations. - Present findings directly to leadership. - Support experimentation, forecasting, and growth modeling. What Success Looks Like in 12 Months - Leadership runs the company on dashboards you built. - Manual reporting is nearly eliminated. - Operational efficiency and margin improve measurably. - Forecasting accuracy increases across growth and ops. - Data trust is high across all teams. Qualifications - Expert-level SQL. - Strong experience with cutting edge data tools (strong AI-first mindset). - Deep familiarity with Metabase, PowerBI, Tableau. - Experience managing tracking with Segment. - Comfortable working with structured and semi-structured data (including JSON). Requirements - Think in systems, not spreadsheets. - Care about business outcomes more than vanity metrics. - Influence decisions, not just report numbers. - Thrive in ambiguity and early-stage environments. - High ownership, bias toward action. Benefits - Fast-moving, high-impact startup environment. - Opportunity for growth and impact. - Work with an elite, A+ team. Company Description We started Pairtu after years of fighting the system for our own families—Arian's mom is beating pancreatic cancer today because he learned to hack insurance rules nobody explains. Our vision: everyone deserves a fighter like that. Today we mix smart software with human advocates to guide Medicare patients through diagnoses, bills, and care plans. Investors from Omada, Oscar, and UnitedHealthcare believe in the mission—and in the scrappy team of <10 building it. Founded by experienced entrepreneurs with successful exits and deep healthcare + tech expertise. Backed by top-tier investors and advisors, including founders and executives from Oscar Health, Omada, Galileo, One Medical, Ro, United, Uber, and Postmates. We move fast and execute with purpose, operating with a lean, impact-driven mindset. We're guided by principles of conscious leadership, a commitment to getting things done (GSD), and a focus on achieving results through hard work, rapid iteration, and swift execution. Pairtu is a fast-moving, high-impact startup where chaos is the norm, and ownership is key. There's no playbook—some days, you'll put out fires; other days, you'll build from scratch. If you thrive in ambiguity, take initiative, and solve problems without waiting for direction, you'll fit right in. If you need structure and predictability or 'need to be a manager' this isn't for you. The upside? You'll level up and have growth, work with an elite, A+ team, and make a real impact as we scale. This isn't a corporate place, be advised.