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.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description This position is responsible for teaching classes as assigned by the academic dean. Methodologies include: face-to-face, hybrid, video conferencing, live virtual, and online. - Evaluate and report student performances and progress in courses in accordance with college and division policies and procedures - Must meet Minimum Faculty Standards for hire and adhere to college policies and procedures - Promote, develop, and deliver quality education programs with the intent to retain students to graduation - Demonstrate IWCC’s core mission, vision, and values - Meet minimum expectations for use of the college Learning Management System - Assess and document student learning outcomes in courses each term in accordance with college policies and procedures - Organize and teach labs as assigned by the academic dean - Complete required professional development and trainings - Exhibit a positive and professional demeanor with all members of the college and community - Promote, model, and enforce academic integrity - Be available to answer student questions outside of class time - Help students achieve their educational and career goals - Refer students to college resources - Maintain confidentiality in accordance with FERPA and Title IX regulations - Adhere to safety policies and procedures - Other duties as assigned Qualifications - To teach arts and science courses: Master’s degree is required and at least 18 graduate credit hours in the discipline - To teach career and technical education (CTE) courses: Depending upon discipline one of the following requirements must be met - Bachelor’s or graduate degree in the discipline - At least 18 undergraduate credit hours in the discipline - Associate degree in the discipline if considered terminal and 3000 hours of recent and relevant work experience - Special training and 6000 hours of relevant tested work experience - Some disciplines require additional licensure or certification - Excellent verbal and written communication skills - Strong organizational skills including the ability to multitask and meet deadlines - Excellent customer service skills - Proficient use of Microsoft Office products (Outlook, Word, Excel, PowerPoint, Teams) - Ability to read, write, and speak English fluently - Enthusiastic and dedicated to the challenges of helping other people - Ability to function collaboratively as part of a fast-paced, customer-oriented team - Professional in communication, appearance, relationships, and responsiveness - Positive attitude - Self-starter with the ability to perform with little or no direct supervision Physical Demands - The employee frequently is required to sit for extended periods of time and use hands to operate computer keyboard, telephone and basic office equipment - While performing the duties of this job, the employee is regularly required to talk and hear - Ability to lift up to 10lbs Cognitive Requirements - Reading, Writing, Calculating - Social Interaction Skills - Reasoning/Analysis - Works with Minimal Supervision

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description This position is responsible for teaching classes as assigned by the academic dean. - Evaluate and report student performances and progress in courses in accordance with college and division policies and procedures - Must meet Minimum Faculty Standards for hire and adhere to college policies and procedures - Promote, develop, and deliver quality education programs with the intent to retain students to graduation - Demonstrate IWCC’s core mission, vision and values - Meet minimum expectations for use of the college Learning Management System (post the syllabus to the course page by college deadlines, record student attendance, and maintain an accurate and current gradebook for all graded course activities) - Assess and document student learning outcomes in courses each term in accordance with college policies and procedures - Organize and teach labs as assigned by the academic dean - Complete required professional development and trainings - Exhibit a positive and professional demeanor with all members of the college and community, contributing to a productive and growth-oriented work environment - Promote, model, and enforce academic integrity - Be available to answer student questions outside of class time (student conferences can be held on campus in a designated student conferencing space or via phone, web conferencing, or email) - Help students achieve their educational and career goals - Refer students to college resources - Maintain confidentiality in accordance with FERPA and Title IX regulations - Adhere to safety policies and procedures - Other duties as assigned Qualifications - Master’s degree is required to teach arts and science courses - At least 18 graduate credit hours in the discipline - To teach career and technical education (CTE) courses, one of the following requirements must be met: - Bachelor’s or graduate degree in the discipline - At least 18 undergraduate credit hours in the discipline - Associate degree in the discipline if considered terminal and 3000 hours of recent and relevant work experience - Special training and 6000 hours of relevant tested work experience - Some disciplines require additional licensure or certification - Excellent verbal and written communication skills and ability to articulate in both small and large group settings and with diverse groups of people including co-workers, students, business contacts and at various levels from front-line to administration - Strong organizational skills including the ability to multitask, to meet deadlines, to maintain and access paper and electronic files, to produce error-free final products and to manage time and output - Excellent customer service skills - Proficient use of Microsoft Office products (Outlook, Word, Excel, PowerPoint, Teams) - Ability to read, write, and speak English fluently - Enthusiastic and dedicated to the challenges of helping other people - Ability to function collaboratively as part of a fast-paced, customer-oriented team - Professional in communication, appearance, relationships, and responsiveness - Positive attitude - Self-starter with the ability to perform with little or no direct supervision Physical Demands - The employee frequently is required to sit for extended periods of time and use hands to operate computer keyboard, telephone and basic office equipment - While performing the duties of this job, the employee is regularly required to talk and hear - Ability to lift up to 10lbs Cognitive Requirements - Reading, Writing, Calculating - Social Interaction Skills - Reasoning/Analysis - Works with Minimal Supervision

• Spearhead the development and maintenance of robust ML Ops processes to streamline model deployment, monitoring, and management • Design and refine machine learning models tailored to the retail industry, enhancing our predictive capabilities and market understanding • Lead the creation of a Model Workbench platform that enables marketers to easily interact with and utilize machine learning models, incorporating user-friendly interfaces and tools • Ensure all product development is guided by a deep understanding of customer needs and market demands, delivering solutions that are both intuitive and powerful • Work towards integrating traditional ML with advanced generative models, focusing on explainability, actionable recommendations, and recursive training based on user interactions