Top Tech Jobs & Startup Jobs

Build and lead Apollo.io’s Data & Distribution Partnerships function from scratch. Own the data-reseller P&L, hire and manage quota-carrying AEs, develop demand generation and pricing strategies, and originate complex data, platform, marketplace, and embedded distribution partnerships. Personally structure and close bespoke commercial agreements while identifying new high-impact distribution opportunities and creating scalable partner models.

Own and expand Apollo’s partnerships with foundation model companies, agent harnesses, and AI-native platforms. Identify new integration surfaces, drive partner certification and compliance, develop monetization strategies, and coordinate multi-party partnerships. Collaborate with R&D to design and launch MCP servers, plugins, skills, and agent tools while tracking fast-changing AI ecosystem developments and shaping Apollo’s partnership strategy.

The Senior Data Scientist will analyze data to drive product strategy, optimize performance, and support product launches, collaborating with cross-functional teams.

Own outbound net-new revenue in the mid-market (250–1000 employees). Proactively prospect 600+ accounts, engage Director+ and C-level buyers, run discovery/demos/negotiations, and close full-cycle deals with a data-driven, multi-threaded approach to meet quota and maintain accurate pipeline and forecasts.

Drive growth by acquiring new enterprise accounts and managing renewals. Collaborate with cross-functional teams and contribute to sales strategies in a high-ownership environment.

Manage the full sales cycle for SMB customers (1-200 employees): conduct discovery calls and demos, nurture inbound leads, generate qualified opportunities, forecast pipeline, negotiate and close deals to meet aggressive monthly and quarterly quotas.

Design, build, and scale major systems end-to-end. Own performance, reliability, and cost tradeoffs. Collaborate across product, design, and engineering to break down ambiguous problems, ship solutions, and raise team quality using AI-assisted development.

Set technical direction org-wide, own highest-stakes architectural bets, lead the AI/agents rebuild, raise engineering standards, mentor senior engineers, and align teams with product and platform strategy.