Top Tech Jobs & Startup Jobs

Build and lead scalable analytics infrastructure, including trusted datasets, production-grade data transformations, and data models using SQL, dbt, Dagster, and Snowflake. Improve self-service analytics through Looker and Amplitude administration, adoption, and training. Partner with product, engineering, and analytics teams to support data ingestion, governance, security, privacy, quality, and retention standards while enabling reliable, organization-wide decision-making.

Owns investor relations and supports capitalization strategy, fundraising, tender offers, Board reporting, investor communications, and equity-related M&A initiatives. Develops financial scenario models, valuation analyses, and cap-table materials while crafting investor and Board narratives. Leads complex cross-functional capital projects, tracks market and competitor trends, manages diligence and reporting processes, and partners with senior leaders on strategic financing initiatives.

Own the vision, strategy, and roadmap for accurate provider data and bookings. Build configuration, workflow, automation, and AI-assisted products that reduce manual work, prevent booking issues, and support provider operations at scale. Define success metrics, lead discovery, write requirements, and partner with Engineering, Design, Operations, Data Science, AI Operations, and healthcare-focused teams to deliver reliable, scalable solutions.

Leads revenue enablement for assigned products and healthcare domains, including launch readiness, onboarding, training, assessments, and ongoing learning. Translates complex product and healthcare concepts into scalable learning experiences, partners with Product, Product Marketing, and Revenue leaders, and measures program effectiveness through learner feedback, assessments, and business data. Maintains accurate educational content and improves seller readiness, knowledge, and business outcomes.

Lead and grow strategic distribution partnerships end-to-end: identify, negotiate, launch, and optimize partner relationships. Own partner performance, conduct business reviews, drive expansion opportunities, coordinate cross-functional execution, and build compelling business cases to align partners with Zocdocs strategic goals.

Own end-to-end commission operations for Sales and go-to-market teams, including calculations, reconciliations, approvals, payroll submissions, disputes, and employee statements. Lead implementation of an incentive compensation platform, streamline legacy plans, establish data governance, automate crediting logic, coordinate plan transitions, and partner with Finance on forecasting and accruals. The role requires strong analytical, systems, communication, organizational, and confidential-information management skills.

Leads Marketing’s planning, prioritization, portfolio management, integrated calendar, and decision-making processes. Identifies dependencies, risks, capacity conflicts, and tradeoffs while coordinating cross-functional initiatives. Establishes lightweight operating standards, improves workflows and technology adoption, and evaluates practical AI applications. Partners with senior leaders and marketing teams to connect strategy with execution, improve delivery, and increase organizational effectiveness.

Lead and build Zocdoc’s provider acquisition function, including strategy, performance marketing, ABM, search, CRO, web experiences, events, experimentation, attribution, and reporting. Own budgets and outcomes such as MQL quality, active provider growth, ROAS, payback, conversion, revenue, and provider LTV. Partner cross-functionally, establish scalable operating models, and recruit and develop the acquisition team.

Lead enterprise sales strategy and execution for large healthcare organizations, managing and developing sales leaders and senior salespeople. Build high-performance team culture, establish scalable processes and best practices, forecast commercial outcomes, drive revenue growth, and collaborate with internal stakeholders to improve workflows. Use data and strategic planning to meet company goals and client expectations while maintaining accountability, communication, and team engagement.

Analyze large datasets and conduct statistical, causal, and experimental analyses to answer product and business questions. Build dashboards and visualizations, investigate metric changes, identify data quality issues, and communicate actionable insights. Collaborate with Product, Engineering, and Data Engineering to validate metrics, experiments, and measurement approaches, while documenting methodologies and assumptions.