HockeyStack

• Build deep, ongoing relationships with customers to understand their evolving business challenges • Translate customer problems into internal projects • Act as the customer's strategic advocate internally • Develop and present recommendations to customer stakeholders • Identify opportunities to expand customer usage • Collaborate with Account Management and Data teams

• Own the full sales cycle for Mid-Market and Enterprise accounts • Lead high-impact discovery, value-selling, and multi-threaded deal cycles with Sales, Marketing, RevOps, and C-level stakeholders • Drive technical conversations around product integrations and deliver compelling demos • Partner with founders and GTM leaders to iterate on messaging and scale a repeatable sales motion • Maintain a healthy, high-velocity pipeline with strong close rates and forecast accuracy • Contribute to the processes, culture, and foundation of a world-class sales org

• Build relationships with customers • Translate customer problems into internal projects • Act as a strategic advocate for customers • Present recommendations to customer stakeholders • Identify opportunities for deeper platform adoption • Collaborate with Account Management and Data teams • Bring a consulting mindset to ambiguous problems

• Build deep, ongoing relationships with customers to understand their evolving business challenges, goals, and GTM strategies. • Translate customer problems into clearly scoped internal projects, partnering with Product, Engineering, and Data teams to drive solutions. • Act as the customer's strategic advocate internally — ensuring their needs shape our roadmap and priorities. • Develop and present recommendations to customer stakeholders, framing insights in terms of business outcomes and value realization. • Identify opportunities to expand customer usage and deepen platform adoption based on their evolving needs. • Collaborate with Account Management and Data teams to ensure continuity from launch through long-term engagement. • Bring a consulting mindset to ambiguous problems — structure the question, gather the right inputs, and deliver a clear recommendation.

• Own the compliance program end-to-end • Run GRC and compliance operations, including SOC 2 compliance • Manage customer trust and vendor risk assessments • Build compliance awareness and report to leadership

HockeyStack is building the AI system that runs B2B sales and marketing. We integrate with every tool across the go-to-market stack, combine it with first and third-party data, and build the most complete event-level data foundation in the industry. On top of it, we: - Mine every won and lost deal to reverse-engineer the patterns that drive revenue, then deploy agents that guide reps through the optimal process deal by deal, in real time. - Surface what's really driving pipeline and what isn't, replacing weeks of manual analysis with answers on demand. - Learn from every outcome and every rep interaction, getting sharper over time — not just when someone rewrites a prompt. We're not wrapping LLMs around prompts and guessing. We've built a structured reasoning layer that makes agent execution deterministic and self-improving — something no other player in the market has done. Y Combinator alum. $26M Series A led by Bessemer Venture Partners. 3× YoY growth. 8-figure ARR. 60+ TB of GTM data processed. We move fast and hire people who are ready to win. This role is open to being located in our San Francisco HQ or fully remote. 🚀 Your Mission As a ClickHouse Staff Engineer, your mission is to turn massive volumes of GTM data into a fast, reliable, and accurate analytics infrastructure that our customers and our AI Agents depend on every single day. Build a data platform that can enrich 10s of Terabytes an hour, insert 10M records a second, and process complex queries for human & Agents. Push ClickHouse to its performance limit while achieving 99.999% uptime. 🔧 What You’ll Do - Manage and scale ClickHouse clusters (replication, sharding, distributed tables) to 100s of TBs. - Maintain data consistency across replicas and shards. - Profile and optimize heavy ETL/ELT queries and table engines. - Tune key configs (max_threads, max_memory_usage, merge settings, I/O schedulers). - Benchmark cluster performance (ingest throughput, query latency, merge rate). - Proactively work with engineers to optimize schema and query patterns. - Improve observability stack on DataDog. - Set up alerting on query performance, merges, replicas, and disk usage. - Own backup and restore processes (to secondary cluster and S3). - Plan and execute upgrades with zero or minimal downtime. - Test and document disaster recovery scenarios. - Own security within ClickHouse, including access control, encryption where applicable, and adherence to internal and regulatory data protection requirements. - Resolve production issues and figure ways to prevent them. - Participate in the Architecture Review process to ensure major changes to the product portfolio have data flow and ClickHouse considerations represented at the very start. 🧬 What We’re Looking For - Ownership-first mindset — you take initiative, move fast, and figure things out - Thrive in early-stage, high-urgency environments where speed and impact matter - Curious, self-aware, and feedback-driven — you bring energy, not ego - See this role as a defining chapter — not a stepping stone or side quest - 5+ years hands-on ClickHouse experience and 8+ years working as a DBA with distributed OLAP databases - Have dealt with data volume at scale (i.e. 100s of TBs) & understand the challenges this brings - Strong systems background with deep understanding of IO performance and network protocols, specifically for high-volume high-throughput analytical workloads (reads and writes!) - Proficiency in writing and optimizing complex SQL queries - Experience with Linux server administration and storage (i.e. RAID) - Experience with monitoring/alerting tools is a strong plus, particularly for database metrics and observability - Familiarity with data infrastructure, reporting systems, or analytics-heavy SaaS products ✨ Why Join Now? We’re at an inflection point. The product is proven, the market is massive, and the opportunity is wide open. You’ll be joining a company with real traction, rapid growth, and meaningful backing—where every person still shapes the outcome. This isn’t just a job. It’s a chance to build something category-defining with people who care deeply about doing it right. The salary range for this role is $200,000– $300,000 USD base pay annually, depending on experience and qualifications. HockeyStack is proud to be an Equal Opportunity Employer. We do not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, or any other legally protected status. We celebrate diversity and are committed to fostering an inclusive environment for all employees.

• Manage and scale ClickHouse clusters (replication, sharding, distributed tables) to 100s of TBs. • Maintain data consistency across replicas and shards. • Profile and optimize heavy ETL/ELT queries and table engines. • Tune key configs (max_threads, max_memory_usage, merge settings, I/O schedulers). • Benchmark cluster performance (ingest throughput, query latency, merge rate). • Proactively work with engineers to optimize schema and query patterns. • Improve observability stack on DataDog. • Set up alerting on query performance, merges, replicas, and disk usage. • Own backup and restore processes (to secondary cluster and S3). • Plan and execute upgrades with zero or minimal downtime. • Test and document disaster recovery scenarios. • Own security within ClickHouse, including access control, encryption where applicable, and adherence to internal and regulatory data protection requirements. • Resolve production issues and figure ways to prevent them. • Participate in the Architecture Review process to ensure major changes to the product portfolio have data flow and ClickHouse considerations represented at the very start.

• Partner directly with customers to understand their revenue goals, challenges, and open questions. • Use HockeyStack's platform to analyze GTM and marketing data, delivering clear recommendations that drive action. • Translate complex metrics into straightforward insights for non-technical stakeholders. • Support Customer Success Managers as a dedicated data partner, strengthening the strategic guidance we deliver to clients. • Identify trends and patterns across marketing and sales data to help customers prioritize where to focus. • Collaborate with internal teams — Product, Engineering, and CS — to improve the customer experience and inform product development.

• Act as a trusted consultant to customers, helping them translate business challenges into actionable strategies using HockeyStack's platform. • Advise customers on how to optimize their GTM motions — from pipeline generation to revenue conversion. • Partner with Customer Success Managers to deliver support and strengthen long-term customer relationships. • Troubleshoot customers' technical challenges by diagnosing issues, identifying root causes, and guiding them to effective solutions. • Collaborate cross-functionally with Product, Engineering, and CS.

• Lead end-to-end implementation projects from kickoff through go-live, ensuring milestones are hit on time and with high quality. • Develop and drive mutual action plans tailored to each customer's goals and use cases. • Partner with customers to set up their data infrastructure — integrations, data dictionary, dashboards, and prompts relevant to their GTM use cases. • Coordinate internal and external resources to remove blockers and keep implementations running smoothly. • Support change management efforts, guiding customers through organizational adoption of HockeyStack. • Help customers define meaningful KPIs and ensure those metrics are tracked and reported post-launch. • Drive initial customer usage and showcase early value, accelerating time to "aha" moments. • Collaborate closely with Sales, Customer Success, Product, and Data teams to align on deliverables and dependencies.