Role Description We are hiring a GTM Engineer to own top of funnel: the data and automation engine that finds the right people at the right moment and turns them into meetings. Paires is an AI-first fundraising platform. We pair founders with the right investors from a large, engaged global investor network, then run the warm outreach that turns into meetings. It is a two-sided platform, live with paying clients, profitable and self-funded, built by a small, senior, flat team that ships fast. The role involves: - Owning top of funnel and the engine behind it. - Ensuring the best deals reach us at the right time. - Engaging new investors when we have something valuable for them. - Building partnerships that open doors on their own. - Running at real scale with a focus on relevancy over volume. - Researching every touch to ensure it's worth the other person's time. - Nurturing relationships for the long run. - Building systems that find the right people and catch the right moment. - Keeping the engine running around the clock without quality slipping. Qualifications - Have owned top of funnel somewhere and driven new meetings, regardless of title. - Have worked one ICP deep and long, navigating tough sales cycles. - Know your numbers from memory: volume, reply rate, booked rate, and what you refused to send. - Write real code: scripts, APIs, n8n, Clay, and Claude Code with MCPs all count. - Strong SQL or Python skills are a bonus, not a requirement. Requirements - Experience in owning top of funnel processes. - Ability to work deeply with one ICP and manage challenging sales cycles. - Strong understanding of key metrics related to outreach. - Proficiency in coding and data management tools. Benefits - Fully remote and asynchronous work environment. - Flexible hours with some overlap with US Eastern time. - Meetings batched on Mondays and Thursdays, allowing for deep work the rest of the week. - Access to the best AI tooling, including paid tools like Claude Code and Cursor. - Collaboration with our GTM lead. Company Description Paires is an AI-first fundraising platform that connects founders with the right investors from a large, engaged global investor network.

Role Description We're looking for engineers who are AI-native, have real fundamentals in programming, data, and systems, and have the judgment to get the most out of LLMs - and know where they break. The work spans enterprise document processing, workflow automation, computer vision, and financial research tooling, across finance, healthcare, and enterprise clients. This is a role for someone who ships, owns outcomes, and wants unusual amounts of responsibility early. What You’ll Do - Own AI product builds end to end, from concept through production, on a client engagement. - Decide what to build and how: gather requirements, pressure-test what stakeholders ask for, and prioritize the work that matters. - Prototype fast with LLMs, then harden into production with the data pipelines, integrations, and evals that make it trustworthy. - Do the data engineering enterprise work requires: ingestion, data modeling, and ETL. - Serve as the primary technical contact for clients - talk shop with their engineers and give their executives clarity. - Instrument what you build (analytics, funnel metrics, error analysis) and iterate on real usage, not assumptions. - Own reliability, security, and cost: auth, secrets, PII handling, and not blowing up the cloud bill. - Write up what you learn; for the team, for clients, and publicly. Qualifications - Strong engineering fundamentals: programming, debugging, and system design. You think well beyond the happy path. - You've shipped something real with an LLM that got actual usage - ideally with error analysis and evals on your outputs. - Data engineering: data modeling and architecture, plus ETL/pipeline experience (Airflow, Dagster, Inngest, Prefect, or similar). - Web and infra fundamentals: auth and web security, profiling slow queries (N+1, unnecessary joins), CI/CD, and cost-aware deployment on a major cloud. - You use modern AI tooling (e.g., Claude Code) daily, with customized workflows. - High agency: you frame ambiguous problems, state your assumptions, and push work forward without being managed. - Strong writing and a high say:do ratio - you can turn a long, meandering client call into a clean set of tickets. Nice To Haves - Depth in one of our core verticals: financial services, healthcare, or enterprise / contact-center AI. - Comfort being client-facing at a senior level. - Fluency in and preference for TypeScript - much of our stack is full TS. - You've built observability for an AI product. - You're plugged into the applied-AI community. Why This Role Is Hard To Fill Most engineers land on one side of a line. Strong classical engineers often haven't built the judgment to know what LLMs can and can't do. Fast "vibe coders" can spin up a demo but can't debug it once it hits real data, real scale, or a real security requirement. We need both - plus the product sense and agency to run a client build largely alone. Someone who needs clean requirements and heavy supervision won't thrive here, and neither will someone whose work falls apart the moment it leaves the happy path. You Might Be A Fit If - You've built and deployed something 0→1; shipped it, got real usage, and iterated. - You're T-shaped: deep in one area (ML, full-stack, data, or security) and rounding out the rest. - You've been the solo or founding engineer on a product and owned outcomes, not just tickets. Logistics - Fully remote. We have team members across North America and internationally, mostly overlapping North American time zones. Work when and where you want, as long as the work gets done. - Full-time or contract depending on the engagement. - Compensation calibrated to your location and seniority - we'll talk comp and align on specifics early.

• Administer and optimize SharePoint Online, Teams, OneDrive, Exchange Online, Microsoft 365 Groups, and Entra ID • Lead platform configuration, lifecycle management, and feature rollouts • Provide advanced (Tier 3) support for complex platform issues • Design, build, and support solutions using Power Apps and Power Automate • Develop PowerShell automation to improve operational efficiency and security • Support deployment, governance, and adoption of Microsoft Copilot • Act as a trusted advisor to IT and business stakeholders

• Partner with Sales to lead deep, multi-stakeholder discovery across technical, marketing, and executive audiences, uncovering the real business problems beneath surface-level requirements • Map complex organizational structures, workflows, and integration landscapes to architect tailored CreatorIQ solutions across departments and teams • Design and deliver high-impact product demonstrations, custom workshops, and white-glove trials aligned to each account's strategic objectives • Develop compelling, account-specific presentations and collateral for both technical and non-technical stakeholders • Serve as the technical authority on CreatorIQ's API capabilities (REST/GraphQL), platform architecture, data model, and integration framework • Articulate CreatorIQ's AI and machine learning capabilities, helping prospects understand how intelligent features drive measurable business outcomes • Own and drive security questionnaires, InfoSec reviews, and compliance documentation, partnering with internal Security and Legal teams to deliver thorough, timely responses • Translate discovery insights into actionable, architecture-informed recommendations for brands and campaigns • Partner with Account Executives and cross-functional teams to develop strategic, differentiated RFP/RFI/security questionnaire responses • Maintain deep expertise in CreatorIQ's platform, integrations, API surface, AI capabilities, and product roadmap • Adapt your message fluidly, from walking engineers through API documentation to presenting ROI narratives to C-suite executives