Reflow

• Co-own the interview process for our key engineering hires, including DevOps Engineer (priority), Data Scientist (priority), Windows & Mac engineers, Full-stack web engineers • Design the technical portion of the interview process yourself, and either run the interviews or bring in trusted specialists to help us assess skills • Advise our Head of Engineering on org design and team scaling strategies • Beyond hiring, serve as a technical sounding board for our Head of Engineering

• Run rapid experiments across different combinations of ICP, messaging, and channel • Run some tests yourself end-to-end, and for others rely on their outside agency partners to execute. • Analyze test results across calls, CRM data, and lead lists to identify what's working and not • Work directly with the founder to shape and prioritize the testing roadmap

• Receive a GTM hypothesis and translate it into a precise list of target companies and contacts • Use Clay, Apollo, or similar tools to source, filter, and enrich leads • QA your own output: validate contact accuracy, remove bad fits, flag ambiguous cases with reasoning • Refine lists based on feedback from the sales team after each experiment run • Document your methodology per hypothesis so lists are reproducible without starting from scratch each time • Suggest improvements to hypothesis definitions when you notice patterns in the data

• Manage our two CSMs • Start super hands-on to learn the product, but then quickly focus on team management and performance • Build out the CS team, including interviewing, hiring, onboarding, and 30/60/90 day performance • Shadow relevant customer conversations • Own the full customer lifecycle from pilot through expansion • Act as the founder's single point of contact for Customer Success

• Audit current GTM stack (Attio CRM, outbound tools, internal workflows) and flag gaps or broken connections • Connect and configure tools so data flows correctly between CRM, outbound, and reporting layers • Build dashboards and reports that give leadership visibility into pipeline health, experiment results, and rep activity — without needing to pull it manually • Set up automations to reduce manual ops work (lead routing, status updates, Slack alerts, etc.) • Write clear documentation so the team can maintain what you build • Flag any data quality issues and help define naming conventions, lifecycle stages, field standards

• Build financial models, projections, and scenario plans • Analyze unit economics and work backwards from revenue targets to inform hiring and growth plans • Pull and analyze customer data to surface insights that shape strategy • Build pricing and ROI models to support sales conversations • Prepare materials for investor updates and help manage investor relationships • Work with our outsourced accounting firm on monthly and quarterly reporting • Work directly with our founder / CEO as a hands-on execution partner

• Oversee the AE hiring process • Define what a great founding AE profile looks like for our startup • Help interview candidates • Build the AE onboarding plan, 30/60/90 day goals, and KPIs for each hire • Coach our AEs - listen to sales calls, and give feedback • Help define our revenue targets, and from that our hiring plan • Build our sales processes, and help choosing the right software tooling • Act as a thought partner to our founder / CEO, who will be owning the sales process

• Design and build algorithms that power Reflow’s core intelligence and analytics capabilities. • Develop models to pre-label, classify, and structure data, reducing the need for manual setup by users. • Collaborate with machine learning engineers to productionize models and integrate them into scalable systems. • Partner with product and engineering to translate business problems into data-driven solutions. • Build and iterate on models that generate insights, predictions, and recommendations. • Help define and improve data structures that support modeling, analysis, and automation. • Work on improving the SOP driven experience by reducing manual steps and increasing automation. • Analyze complex datasets to identify patterns, trends, and opportunities for product value. • Continuously evaluate model performance and iterate to improve accuracy, reliability, and impact. • Ensure solutions are efficient, scalable, and aligned with real-world workflows and user needs.

• Own the design vision and execution across the product. • Design complex, data-heavy interfaces that translate complex workflows and data into intuitive, usable experiences. • Define interaction patterns, UX principles, and visual direction. • Design core product flows, dashboards, and interactions. • Produce high-quality UX, UI, and interaction design — not just concepts. • Iterate quickly alongside engineering as things get built and shipped. • Conduct lightweight user research: interviews, usability testing, and observation. • Validate ideas early with customers and partners. • Turn real-world feedback into design improvements. • Establish design systems, components, and patterns that scale with the product. • Document decisions and principles to create consistency without bureaucracy. • Raise the bar for product quality across the company. • Shape product direction through design thinking, not just execution. • Help prioritize what matters most for usability and adoption. • Be pragmatic about tradeoffs while protecting the user experience.

• Own product direction, roadmap, and prioritization — making tradeoffs across customer value, speed, and technical constraints. • Turn ambiguous goals into clear problems, scopes, and shipped solutions. • Be accountable for outcomes, not artifacts. • Drive planning, sequencing, and timelines with engineering. • Manage dependencies, unblock progress, and keep delivery on track. • Own release planning, testing, rollouts, and post-launch learning. • Write product specs, workflows, and acceptance criteria. • Review builds, test flows, and iterate with engineers in real time. • Make fast calls when things are unclear or breaking. • Talk to customers constantly: discovery, validation, onboarding, and support. • Translate feedback into priorities and concrete product changes. • Support partner setup, onboarding, and early integrations when needed. • Establish how roadmap, prioritization, and execution work. • Create lightweight processes that increase speed, not bureaucracy. • Document decisions and patterns so the product can scale.