Top Tech Jobs & Startup Jobs

Build and maintain ClickHouse data models, aggregations, streaming pipelines, Kafka infrastructure, schemas, database migrations, data lake architecture, ETL applications, and entity-resolution systems. Partner with product engineers on event-driven applications, automate deployments, improve infrastructure security and scalability, and support high-performance querying of customer event data. The role spans data engineering, infrastructure, DevOps, backend APIs, and analytics.

Generate qualified meetings and pipeline through cold calls, personalized emails, social outreach, and inbound qualification. Research target accounts, identify buyers, articulate beehiiv’s value, qualify fit and urgency, maintain accurate HubSpot data, collaborate with Account Executives, and share market feedback with Sales, Marketing, and Product. The role requires strong prospecting, communication, coachability, urgency, and comfort with rapid iteration.

The Senior Data Analyst will support Growth and Product teams through paid-channel analysis, user journey optimization, activation and retention insights, and churn reduction. Responsibilities include developing experiments, analyzing ad network performance, improving tracking and instrumentation, ensuring data quality, and enabling self-service analytics. The role requires translating complex data into actionable recommendations and communicating effectively across technical and non-technical teams in a fast-paced SaaS environment.

Own and scale beehiiv’s agency partner channel by validating the partner ICP, recruiting and closing agencies, developing partner marketing and enablement, onboarding and activating partners, managing top relationships, supporting co-selling, and maintaining affiliate operations. Track partner-sourced revenue, conversion, retention, and LTV while optimizing tiers, incentives, attribution, and payouts. Initially operate as a hands-on team of one with cross-functional support from sales, marketing, engineering, lifecycle, and finance.

Own integrated marketing campaigns, product launches, events, and experiential programs from concept through execution. Develop briefs, channel plans, timelines, budgets, partnerships, measurement frameworks, and playbooks. Coordinate internal teams, agencies, freelancers, vendors, venues, speakers, and talent while managing live execution. Optimize campaigns using performance data, lead postmortems, and connect brand storytelling to reach, signups, pipeline, and revenue.

Lead beehiiv’s creative vision across brand campaigns, creator partnerships, content franchises, and cultural moments. Develop integrated campaigns, oversee production, direct agencies and creative partners, and ensure consistent execution across social, digital, video, experiential, and paid channels. Use performance data and experimentation to improve creative effectiveness, establish scalable processes, mentor talent, and build a world-class creative function.

Own the full sales cycle for mid-market B2B SaaS customers, from outbound prospecting and pipeline generation through discovery, demos, negotiation, and close. Manage migrations from competing email and marketing platforms, achieve quarterly revenue and pipeline goals, maintain accurate HubSpot records, collaborate with Solutions, Customer Success, Marketing, and Product, and develop AI-powered workflows for sales research, outreach, and deal preparation.

Lead and grow a mid-market B2B SaaS sales team while carrying individual deals. Own quarterly revenue and pipeline targets, coach account executives, manage forecasting and CRM discipline, hire and onboard sales talent, build partner and referral channels, and collaborate with Product. The role also requires developing AI workflows to improve prospecting, deal reviews, reporting, and sales execution.

Own beehiiv’s growth product area from signup through paid conversion, including onboarding, activation, upsells, trials, checkout, and lifecycle experiences. Lead the growth roadmap, define metrics, run high-velocity experiments, analyze funnel performance, and improve conversion across mobile and desktop. Prototype experiments using AI and the existing design system, collaborate with engineering, design, data, marketing, and product teams, and communicate results and trade-offs to leadership.

Own commercial relationships with existing B2B SaaS customers, driving expansions, upgrades, renewals, pricing, revenue recovery, and churn prevention. Build custom packages, identify growth opportunities, and partner with customers and Customer Success. Develop AI-powered workflows and automations to improve account management efficiency, reporting, and revenue outcomes.