The advisor will co-own the technical interview process for key engineering hires and design assessment frameworks. Additionally, they will provide strategic guidance to the Head of Engineering on organizational design and team scaling.
The role involves owning the go-to-market engine by running rapid experiments across ICPs, messaging, and channels to find a repeatable growth motion. You will analyze test results from CRM data and lead lists while collaborating with the founder to prioritize the testing roadmap.
Manage and scale the Customer Success team, overseeing CSMs and owning the full customer lifecycle from pilot to expansion. Act as the primary point of contact for the founder to optimize team performance and product adoption.
Audit and optimize the GTM infrastructure by connecting tools and ensuring seamless data flow between the CRM and reporting layers. Build dashboards and automations to provide leadership visibility into pipeline health and reduce manual operational work.
The role involves translating GTM hypotheses into precise lists of target companies and contacts using data enrichment tools. The engineer is responsible for the end-to-end quality and validation of lead lists to support outbound sales experiments.
The role involves building financial models, projections, and pricing strategies to drive data-driven decisions. The lead will also manage investor relationships and collaborate with the CEO and accounting firms on reporting.
Build and scale the founding sales team by overseeing AE hiring, onboarding, and coaching. Define revenue targets, sales processes, and software tooling to support a founder-led sales motion.
Design and build algorithms to power intelligence, analytics, and automated data labeling for the Reflow platform. Collaborate with engineering and product teams to productionize models and translate complex business problems into actionable data-driven solutions.
The engineer will design, implement, and maintain a scalable data warehouse, developing and optimizing ETL pipelines to ingest data from various sources. They will also model datasets, build visualization tools, and ensure data reliability, cost efficiency, and performance across environments.
The lead developer will drive the architecture, performance, deployment, and long-term scalability of the macOS application, which is central to the Reflow platform. This includes owning the quality bar through profiling and optimization, ensuring compatibility in managed environments, and collaborating with backend teams.
