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HockeyStack

HockeyStack

hockeystack.com

4 Jobs

97 Employees

About the Company

The AI Platform for Revenue Teams.

Listed Jobs

Company background Company brand
Company Name
HockeyStack
Job Title
Backend Engineer (AI)
Job Description
**Job Title:** Backend Engineer (AI) **Role Summary:** Build high-performance reporting infrastructure to transform large-scale B2B GTM data into reliable, scalable systems for customer-facing dashboards and real-time insights. **Expectations:** Take ownership of critical backend systems; thrive in fast-paced environments with high-urgency priorities; commit to in-person work. **Key Responsibilities:** - Design, optimize, and maintain backend services (Node.js, Express) for data transformation and reporting. - Develop and manage complex SQL queries (500+ lines) for GTM analytics across massive datasets. - Optimize query performance in analytical databases (e.g., ClickHouse) and implement caching strategies. - Collaborate with product and frontend teams to deliver accurate, real-time dashboards. - Enhance system reliability, edge-case handling, and scalability for mission-critical applications. - Deploy changes frequently while upholding rigorous quality standards. **Required Skills:** - Strong backend engineering expertise with Node.js and modern JavaScript/TypeScript. - Proficiency in writing and optimizing complex SQL for large datasets. - Experience with analytical databases (e.g., ClickHouse). - Familiarity with data infrastructure, reporting systems, or analytics-heavy SaaS platforms. - Exposure to B2B GTM data pipelines, real-time dashboards, or BI tools. **Required Education & Certifications:** Not specified.
San francisco, United states
On site
10-11-2025
Company background Company brand
Company Name
HockeyStack
Job Title
Sales Engineer, GTM AI
Job Description
**Job Title**: Sales Engineer, GTM AI **Role Summary**: Serve as the technical and consultative bridge between an AI‑powered go‑to‑market platform and complex sales/marketing challenges. Own end‑to‑end demo engineering, sandbox POCs, MEDDICC‑driven qualification, and business storytelling to enable solution adoption by key GTM personas. **Expectations**: - Own the full demo/POC lifecycle with speed and impact. - Apply MEDDICC rigor consistently to qualify prospects and drive deal progression. - Translate technical capabilities into business value for CMOs, RevOps, and sales leaders. - Provide feedback to product teams and train internal sales staff on technical messaging. **Key Responsibilities**: 1. Design, build, and deliver polished interactive demos and live sandbox environments tailored to customer use cases. 2. Translate platform features (AI analyst, account intelligence, multi‑touch attribution, lift modeling, account scoring, GTM workflows) into real‑world scenarios. 3. Spin up isolated sandbox environments or trial workspaces; prototype custom scenarios with prospects. 4. Validate integrations with CRM/MarTech stacks (Salesforce, HubSpot, Outreach, LinkedIn, data warehouses) and showcase resulting dashboards and insights. 5. Apply the MEDDICC framework—Metrics, Economic buyer, Decision criteria, Decision process, Identify pain & Champion, Competition—to every engagement. 6. Engage marketing, demand generation, and RevOps personas to frame business problems and craft narrative-driven demos. 7. Train SDRs and AEs on technical messaging, solution positioning, and MEDDICC qualification techniques. 8. Relay customer success stories, feature requests, and improvement suggestions back to Marketing, Product, and Engineering. **Required Skills**: - 5+ years in sales engineering, sandbox POC delivery, or technical pre‑sales roles (preferably SaaS MarTech/CRM/RevOps platforms). - Deep familiarity with multi‑touch attribution, lift reporting, marketing mix modeling (MMM), account scoring, and buyer‑journey analytics. - Expertise in creating live demos and sandbox experiences driven by concrete business outcomes. - Proven experience with MEDDICC and consultative qualification frameworks. - Strong ability to translate technical capabilities into business‑first language for senior stakeholders. - Product‑centric mindset with an emphasis on continuous improvement and feedback loops. **Required Education & Certifications**: - Bachelor’s degree in Computer Science, Engineering, Business, or related field, or equivalent professional experience. - Certifications in sales engineering, MEDDICC, or related consultative selling methodologies are a plus.
London, United kingdom
Remote
Mid level
24-11-2025
Company background Company brand
Company Name
HockeyStack
Job Title
Data Analyst
Job Description
Job title Data Analyst Role Summary Provide data-driven insights to customers on revenue performance and marketing spend, using the company’s AI-powered platform. Translate complex metrics into clear recommendations for non-technical stakeholders. Expactations - Own the analytical journey for customers, driving speed and impact in a fast‑moving environment. - Demonstrate ownership, initiative, and the ability to solve problems independently. - Deliver actionable, business‑centric outcomes without deep‑data engineering work. Key Responsibilities - Partner with customers to identify revenue and marketing challenges and provide insights. - Use platform analytics to uncover patterns, trends, and next‑best actions for sales and marketing teams. - Translate technical findings into straightforward explanations for senior stakeholders. - Support Customer Success Managers by delivering strategic guidance and recommendations. - Collaborate with internal teams to refine the customer experience and product features. Required Skills - Strong analytical thinking and problem‑solving skills. - Ability to frame and answer complex business questions using data. - Excellent communication and storytelling abilities. - Customer‑orientation with a focus on delivering measurable value. - Experience in marketing analytics or sales/GA‑to‑market analytics strongly preferred. - Familiarity with SaaS/ B2B marketing or revenue analytics. - Strategic thinking: recommend actionable steps based on insights, without needing to perform raw data deep dives. Required Education & Certifications - Bachelor’s degree in Mathematics, Statistics, Data Science, Applied Economics, or a related field. - 1–3 years of experience in data analytics or consulting, with an analytical focus.
London, United kingdom
Remote
Fresher
09-12-2025
Company background Company brand
Company Name
HockeyStack
Job Title
Team Lead Backend Engineer (Data/API team)
Job Description
**Job Title:** Team Lead Backend Engineer (Data/API Team) **Role Summary:** Lead the design, architecture, and delivery of scalable, low‑latency API infrastructure that serves 60+ TB of GTM data to internal and external consumers. Own end‑to‑end architecture, performance, cost, and reliability while driving engineering best practices, mentoring a small team, and collaborating closely with AI, data, and front‑end stakeholders. **Expectations:** - Minimum 5 years of backend engineering experience, preferably in high‑scale systems. - Proven leadership and mentorship in a fast‑paced, high‑urgency startup environment. - Ability to own ambiguity, define problems, architect solutions, and ship results quickly. - Commitment to in‑person work 5 days per week. **Key Responsibilities:** 1. Architect and implement scalable APIs exposing GTM data. 2. Own large‑scale data access patterns, query optimization, and distributed storage (Node.js, ClickHouse, AWS). 3. Design and enforce API contracts, versioning, rate‑limiting, authentication, and cache invalidation. 4. Build internal tooling to improve observability, CI/CD, testing, and engineering velocity. 5. Mentor junior engineers and set technical direction for the team. 6. Collaborate with AI, data, and front‑end teams to ensure seamless integrations. **Required Skills:** - Proficiency in Node.js, AWS services, and ClickHouse (or equivalent columnar database). - Deep knowledge of REST/GraphQL API design, authentication, rate limiting, pagination, and caching. - Experience building systems that handle TBs of data with high availability and cost efficiency. - Strong understanding of distributed systems, performance tuning, and query optimization. - Leadership, mentorship, and ability to enforce code quality, testing, and best practices. - Comfort with ambiguity, rapid decision‑making, and delivering under pressure. **Required Education & Certifications:** - Bachelor’s degree in Computer Science, Engineering, or related field, or equivalent practical experience. - Optional certifications: AWS Certified Solutions Architect, AWS Certified Developer, or similar.
San francisco, United states
On site
Senior
29-12-2025