Jobs at PadSplit

Lead end-to-end product design for a two-sided affordable housing marketplace. Responsibilities include user research, simplifying complex workflows, shaping product strategy, prototyping, experimentation, polished responsive UI design in Figma, and collaboration with product, engineering, marketing, operations, data, and AI teams. The role also involves designing AI-powered experiences and connecting design decisions to customer needs, business metrics, revenue, and marketplace outcomes.

The QA Engineer will own testing across mobile, web, and backend systems. Responsibilities include designing test strategies, validating end-to-end user flows and RESTful APIs, performing regression testing, investigating defects, managing test environments and data, and identifying release risks. The role partners closely with Engineering and Product in a remote startup environment to improve product quality and release confidence.

Owns revenue operations for the conversion funnel from approved lead to move-in. Responsibilities include optimizing AI and human calling, testing scripts and follow-up cadences, coaching agents, sequencing handoffs, building Hex dashboards, closing reporting gaps, driving retention outreach, launching caller and lifecycle campaigns, and improving lead routing, CRM hygiene, experimentation, and cross-team SLAs.

Own end-to-end analyses, build trusted Snowflake and dbt reporting infrastructure, create Hex dashboards, investigate metric anomalies, ensure data quality, document metrics, partner with stakeholders, use AI responsibly, and mentor analysts.

Develop PadSplit’s Boston property-owner marketplace by prospecting, conducting outreach, presenting value propositions, modeling financial benefits, nurturing relationships, negotiating and closing Host agreements, and coordinating onboarding. The role also tracks CRM metrics, monitors real estate trends and regulations, and educates owners through meetings, webinars, and presentations. Success requires sales ability, real estate knowledge, strong communication, analytical skills, independence, adaptability, and collaboration in a remote startup environment.

Leads QA, IT operations, and Security teams; sets quality strategy, expands test automation and CI/CD quality gates, evaluates AI-assisted testing, modernizes internal tooling and SaaS management, establishes IT service standards, and owns security roadmaps, risk management, vulnerability processes, incident response, and team development.

The Account Executive will expand PadSplit’s marketplace by prospecting and engaging property owners and real estate investors to become Hosts. Responsibilities include lead qualification, cold outreach, discovery calls, value presentations, relationship management, financial modeling, negotiations, closing deals, onboarding coordination, CRM tracking, market research, and educational sessions. The role is fully remote and focused on growing shared housing opportunities in Denver.

The Account Executive will engage and qualify leads, deliver effective sales presentations, manage the sales pipeline, and collaborate with the sales team to achieve sales targets.

Responsible for prospecting and qualifying property owners, conducting outreach and discovery calls, presenting PadSplitvalue propositions, tailoring hosting solutions, closing deals, coordinating onboarding, tracking CRM metrics, and hosting educational sessions to grow PadSplit Hosts in the Chicago market.

Lead strategy and execution to launch and scale new PadSplit markets: build repeatable playbooks, grow partner ecosystems, drive referrals, improve occupancy and NPS, use data to optimize performance, and hire and develop market teams.

Design, build, and optimize multi-channel lifecycle marketing journeys for hosts. Manage automation flows in Iterable, Pardot, and SFMC; troubleshoot HTML/CSS; run A/B tests; query and verify audience data with SQL; integrate event triggers via APIs/webhooks; analyze performance and collaborate with cross-functional teams.

Lead platform strategy and architecture to scale backend systems. Improve reliability, observability, and developer productivity. Mentor engineers, drive technical standards, and build cloud-native Django services on AWS with Postgres performance tuning.