You will manage a portfolio of 70-90 general contractors and planners to ensure successful activation, retention, and growth. Responsibilities include negotiating renewals, driving upsells and cross-sells, and maintaining accurate weekly sales forecasts.
Act as the primary product expert to support sales and customer success teams while leading strategic customer meetings and workshops. Manage custom development projects and translate customer feedback into prioritized product requirements using usage data.
Own Cosuno’s organic growth strategy across its blog, website, Marketplace pages, and AI search visibility, with a focus on qualified sign-ups and demo requests. Lead SEO for the website relaunch and migration, develop content and partnerships, automate organic workflows with AI, and measure performance.
You will lead the end-to-end recruitment process for engineering and product roles, building high-quality pipelines through sourcing and referrals. Additionally, you will design structured interview loops and advise hiring managers on market trends, compensation, and levelling to ensure successful hiring outcomes.
Own product features from problem definition through production, including solution scope, acceptance criteria, data models, services, APIs, and user interfaces. Build scalable backend systems and modular monorepo packages, and collaborate with Product, Design, and Data to deliver strategic initiatives.
Own critical go-to-market initiatives across enterprise sales, revenue operations, and customer success, using data to improve funnels, pricing, market expansion, and sales cycles. Partner with the executive team, connect commercial teams with Product and Technology, prepare board meetings, and drive strategic initiatives through implementation.
You will lead the end-to-end recruitment process for commercial roles including Sales, Customer Success, and Marketing. You are responsible for building talent pipelines, implementing structured assessment processes, and using data to optimize hiring performance.
Build and operate marketing and growth automation across paid media, lifecycle, sales handovers, and content, connecting product, CRM, enrichment, transaction, and warehouse data. Create reusable experimentation and AI-enabled workflows, with human review, control-based measurement, and careful rollout and rollback plans.
You will manage the entire sales cycle for SMB clients, from initial acquisition to closing, while navigating complex multi-stakeholder relationships. Additionally, you will collaborate with the VP of Sales and CEO to develop deal strategies and provide structured market feedback to product teams.
Independently investigate open-ended product and commercial questions, including customer usage, account growth, retention, expansion, and funnel performance, and use findings to influence business decisions. Build dbt models and Looker views that support analysis and enable others to answer questions independently.
You will build and scale CRM programs and lifecycle journeys to drive user adoption, conversion, and retention. You will collaborate with the marketing lead to develop an agentic, signal-driven system that automates personalized user actions.
You will build and improve LLM-powered systems and own the end-to-end delivery of AI features from the model to the web application. You will also collaborate with cross-functional teams to translate business problems into production-grade AI solutions.
You will lead a team of full-stack and AI/ML engineers while remaining 60-80% hands-on with coding and architectural design. You are responsible for owning the delivery, technical quality, and roadmap execution in close partnership with the Product Manager.
You will act as the first point of contact for potential new clients, conducting cold outreach and qualifying leads to build the sales pipeline. Additionally, you will manage prospect documentation in Salesforce and schedule meetings or demos for the account executive team.
Design and implement AI-driven workflows and a modular automation platform to scale efficiency across various company departments. Collaborate with the CEO and CTO to integrate state-of-the-art models and reasoning chains into the core infrastructure.
